diff --git a/.gitignore b/.gitignore index fbc4c51..dee3101 100644 --- a/.gitignore +++ b/.gitignore @@ -140,5 +140,8 @@ dmypy.json cython_debug/ /pyrightconfig.json +# Profiles +/profiles/*.html + # sensitive data /data/limesurvey/*.csv diff --git a/profiles/civsoc.html b/profiles/civsoc.html deleted file mode 100644 index af4e037..0000000 --- a/profiles/civsoc.html +++ /dev/null @@ -1,110899 +0,0 @@ -Pandas Profiling Report (MS)

Overview

Dataset statistics

Number of variables187
Number of observations38
Missing cells3875
Missing cells (%)54.5%
Total size in memory51.2 KiB
Average record size in memory1.3 KiB

Variable types

Categorical157
Numeric4
Boolean17
Unsupported9

Warnings

CSfoi5[too_expensive] has constant value "False" Constant
CSfoi5[afraid_of_data_destruction] has constant value "False" Constant
CSfoi5[afraid_of_discrimination] has constant value "False" Constant
CScampact1[6] has constant value "NOPNR - Fluggastdatenspeicherung" Constant
CSadvocact1[6] has constant value "Organising public events with agencies and tech businesses" Constant
CSadvocact1[7] has constant value "Organising closed discussions between agencies and civil society groups" Constant
CSadvocact2other has constant value "Obwohl es hier um Lobbyarbeit geht: Kamagnenelemente helfen, durch öfftl. Druck Lobbyarbeit zu verstärken und z.B. zu Gesprächen eingeladen zu werden. Leider ist Mobilisierung zu ND-Themen schwierig." Constant
CSlitigateact1[5] has constant value "Initiierung einer erfolgreich abgeschlossenen US-Zivilklage gegen syrischen Geheimdienst bzw. dessen Überwachung und gezielte Tötung ausländischer Journalist*innen" Constant
CSlitigateact1[6] has constant value "Strafanzeige in Deutschland gegen Vertreter des saudi-arabischen Geheimdiensts wegen gezielter Überwachung von Journalist*innen" Constant
CSlitigateact2other has constant value "Finanzierung sicherstellen und Netzwerk aktivieren, um passende Beschwerdeführer:innen zu finden." Constant
CSconstraintinter2 has constant value "No" Constant
CSconstraintinter6[ethnicity] has constant value "No" Constant
CSconstraintinter6[sexual] has constant value "No" Constant
CSconstraintinter6[religious] has constant value "No" Constant
CSconstraintinter6[other] has constant value "No" Constant
surveytype has constant value "Civil Society Scrutiny" Constant
CShr2 has 2 (5.3%) missing values Missing
CSexpertise1 has 4 (10.5%) missing values Missing
CSexpertise2 has 2 (5.3%) missing values Missing
CSexpertise3 has 2 (5.3%) missing values Missing
CSexpertise4 has 2 (5.3%) missing values Missing
CSfinance1 has 5 (13.2%) missing values Missing
CSfinance2[private_foundations] has 6 (15.8%) missing values Missing
CSfinance2[donations] has 7 (18.4%) missing values Missing
CSfinance2[national_public_funds] has 7 (18.4%) missing values Missing
CSfinance2[corporate_sponsorship] has 8 (21.1%) missing values Missing
CSfinance2[international_public_funds] has 7 (18.4%) missing values Missing
CSfinance2[other] has 11 (28.9%) missing values Missing
CSfinance2other has 34 (89.5%) missing values Missing
CSfinance3 has 15 (39.5%) missing values Missing
CSfinance4 has 8 (21.1%) missing values Missing
CSfoi1 has 7 (18.4%) missing values Missing
CSfoi2 has 32 (84.2%) missing values Missing
CSfoi3 has 32 (84.2%) missing values Missing
CSfoi4 has 32 (84.2%) missing values Missing
CSpreselection has 6 (15.8%) missing values Missing
CScampact1[1] has 34 (89.5%) missing values Missing
CScampact1[2] has 34 (89.5%) missing values Missing
CScampact1[3] has 34 (89.5%) missing values Missing
CScampact1[4] has 36 (94.7%) missing values Missing
CScampact1[5] has 36 (94.7%) missing values Missing
CScampact1[6] has 37 (97.4%) missing values Missing
CScampact1[7] has 38 (100.0%) missing values Missing
CScampact1[8] has 38 (100.0%) missing values Missing
CScampact2[media_contributions] has 30 (78.9%) missing values Missing
CScampact2[own_publications] has 30 (78.9%) missing values Missing
CScampact2[petitions_open_letters] has 30 (78.9%) missing values Missing
CScampact2[public_events] has 30 (78.9%) missing values Missing
CScampact2[collaborations] has 30 (78.9%) missing values Missing
CScampact2[demonstrations] has 30 (78.9%) missing values Missing
CScampact2[social_media] has 30 (78.9%) missing values Missing
CScampact2[advertising] has 30 (78.9%) missing values Missing
CScampact2[volunteer_activities] has 31 (81.6%) missing values Missing
CScampact2[providing_technical_tools] has 30 (78.9%) missing values Missing
CScampact2[support_for_eu_campaigns] has 31 (81.6%) missing values Missing
CScampact2[other] has 35 (92.1%) missing values Missing
CScampact2other has 38 (100.0%) missing values Missing
CScamptrans1 has 30 (78.9%) missing values Missing
CScamptrans2 has 31 (81.6%) missing values Missing
CScampimpact1[increased_awareness] has 31 (81.6%) missing values Missing
CScampimpact1[policies_reflect_demands] has 31 (81.6%) missing values Missing
CScampimpact1[created_media_attention] has 31 (81.6%) missing values Missing
CScampimpact1[achieved_goals] has 31 (81.6%) missing values Missing
CScampimpact2 has 36 (94.7%) missing values Missing
CSadvocact1[1] has 26 (68.4%) missing values Missing
CSadvocact1[2] has 28 (73.7%) missing values Missing
CSadvocact1[3] has 31 (81.6%) missing values Missing
CSadvocact1[4] has 32 (84.2%) missing values Missing
CSadvocact1[5] has 36 (94.7%) missing values Missing
CSadvocact1[6] has 37 (97.4%) missing values Missing
CSadvocact1[7] has 37 (97.4%) missing values Missing
CSadvocact1[8] has 38 (100.0%) missing values Missing
CSadvocact2[research] has 25 (65.8%) missing values Missing
CSadvocact2[consultations] has 25 (65.8%) missing values Missing
CSadvocact2[briefings] has 25 (65.8%) missing values Missing
CSadvocact2[expert_events] has 25 (65.8%) missing values Missing
CSadvocact2[participation_in_fora] has 25 (65.8%) missing values Missing
CSadvocact2[legal_opinions] has 25 (65.8%) missing values Missing
CSadvocact2[informal_encounters] has 25 (65.8%) missing values Missing
CSadvocact2[other] has 33 (86.8%) missing values Missing
CSadvocact2other has 37 (97.4%) missing values Missing
CSadvoctrans1 has 25 (65.8%) missing values Missing
CSadvoctrans2 has 25 (65.8%) missing values Missing
CSadvocimpact1[increased_awareness] has 25 (65.8%) missing values Missing
CSadvocimpact1[policies_reflect_recommendations] has 25 (65.8%) missing values Missing
CSadvocimpact1[more_informed_debates] has 25 (65.8%) missing values Missing
CSadvocimpact1[achieved_goals] has 25 (65.8%) missing values Missing
CSadvocimpact2 has 33 (86.8%) missing values Missing
CSlitigateact1[1] has 30 (78.9%) missing values Missing
CSlitigateact1[2] has 31 (81.6%) missing values Missing
CSlitigateact1[3] has 33 (86.8%) missing values Missing
CSlitigateact1[4] has 34 (89.5%) missing values Missing
CSlitigateact1[5] has 37 (97.4%) missing values Missing
CSlitigateact1[6] has 37 (97.4%) missing values Missing
CSlitigateact1[7] has 38 (100.0%) missing values Missing
CSlitigateact1[8] has 38 (100.0%) missing values Missing
CSlitigateact2[initiating_lawsuit] has 29 (76.3%) missing values Missing
CSlitigateact2[initiating_complaint] has 29 (76.3%) missing values Missing
CSlitigateact2[supporting_existing_legislation] has 29 (76.3%) missing values Missing
CSlitigateact2[other] has 35 (92.1%) missing values Missing
CSlitigateact2other has 37 (97.4%) missing values Missing
CSlitigatecost1 has 29 (76.3%) missing values Missing
CSlitigatecost2 has 30 (78.9%) missing values Missing
CSlitigatecost3 has 29 (76.3%) missing values Missing
CSlitigatetrans1 has 29 (76.3%) missing values Missing
CSlitigatetrans2 has 30 (78.9%) missing values Missing
CSlitigateimpact1[increased_awareness] has 29 (76.3%) missing values Missing
CSlitigateimpact1[changed_the_law] has 29 (76.3%) missing values Missing
CSlitigateimpact1[amendments_of_the_law] has 29 (76.3%) missing values Missing
CSlitigateimpact1[revealed_new_information] has 29 (76.3%) missing values Missing
CSlitigateimpact1[achieved_goals] has 29 (76.3%) missing values Missing
CSlitigateimpact2 has 33 (86.8%) missing values Missing
CSprotectops1[sectraining] has 11 (28.9%) missing values Missing
CSprotectops1[e2e] has 11 (28.9%) missing values Missing
CSprotectops2 has 13 (34.2%) missing values Missing
CSprotectops3[encrypted_email] has 10 (26.3%) missing values Missing
CSprotectops3[vpn] has 10 (26.3%) missing values Missing
CSprotectops3[tor] has 10 (26.3%) missing values Missing
CSprotectops3[e2e_chat] has 11 (28.9%) missing values Missing
CSprotectops3[encrypted_hardware] has 10 (26.3%) missing values Missing
CSprotectops3[2fa] has 11 (28.9%) missing values Missing
CSprotectops3[other] has 30 (78.9%) missing values Missing
CSprotectops3other has 35 (92.1%) missing values Missing
CSprotectops4 has 10 (26.3%) missing values Missing
CSprotectleg1 has 11 (28.9%) missing values Missing
CSprotectleg2 has 12 (31.6%) missing values Missing
CSprotectleg2no has 26 (68.4%) missing values Missing
CSprotectleg3[free_counsel] has 14 (36.8%) missing values Missing
CSprotectleg3[cost_insurance] has 14 (36.8%) missing values Missing
CSprotectleg3[other] has 26 (68.4%) missing values Missing
CSconstraintinter1 has 14 (36.8%) missing values Missing
CSconstraintinter2 has 13 (34.2%) missing values Missing
CSconstraintinter3 has 38 (100.0%) missing values Missing
CSconstraintinter4[police_search] has 13 (34.2%) missing values Missing
CSconstraintinter4[seizure] has 13 (34.2%) missing values Missing
CSconstraintinter4[extortion] has 15 (39.5%) missing values Missing
CSconstraintinter4[violent_threat] has 14 (36.8%) missing values Missing
CSconstraintinter4[inspection_during_travel] has 13 (34.2%) missing values Missing
CSconstraintinter4[detention] has 13 (34.2%) missing values Missing
CSconstraintinter4[surveillance_signalling] has 13 (34.2%) missing values Missing
CSconstraintinter4[online_harassment] has 13 (34.2%) missing values Missing
CSconstraintinter4[entry_on_deny_lists] has 13 (34.2%) missing values Missing
CSconstraintinter4[exclusion_from_events] has 13 (34.2%) missing values Missing
CSconstraintinter4[public_defamation] has 13 (34.2%) missing values Missing
CSconstraintinter5[unsolicited_information] has 13 (34.2%) missing values Missing
CSconstraintinter5[invitations] has 13 (34.2%) missing values Missing
CSconstraintinter5[other] has 24 (63.2%) missing values Missing
CSconstraintinter5other has 38 (100.0%) missing values Missing
CSconstraintinter6[gender] has 14 (36.8%) missing values Missing
CSconstraintinter6[ethnicity] has 14 (36.8%) missing values Missing
CSconstraintinter6[political] has 14 (36.8%) missing values Missing
CSconstraintinter6[sexual] has 14 (36.8%) missing values Missing
CSconstraintinter6[religious] has 14 (36.8%) missing values Missing
CSconstraintinter6[other] has 22 (57.9%) missing values Missing
CSconstraintinter6other has 38 (100.0%) missing values Missing
CSconstraintself1[avoid] has 14 (36.8%) missing values Missing
CSconstraintself1[cancelled_campaign] has 14 (36.8%) missing values Missing
CSconstraintself1[withdrew_litigation] has 14 (36.8%) missing values Missing
CSconstraintself1[leave_profession] has 14 (36.8%) missing values Missing
CSconstraintself1[other] has 29 (76.3%) missing values Missing
CSconstraintself1other has 36 (94.7%) missing values Missing
CSattitude1 has 14 (36.8%) missing values Missing
CSattitude2 has 14 (36.8%) missing values Missing
CSattitude4[1] has 17 (44.7%) missing values Missing
CSattitude4[2] has 17 (44.7%) missing values Missing
CSattitude4[3] has 19 (50.0%) missing values Missing
CSattitude4[4] has 22 (57.9%) missing values Missing
CSattitude4[5] has 25 (65.8%) missing values Missing
CSattitude4[6] has 27 (71.1%) missing values Missing
CSattitude5[1] has 17 (44.7%) missing values Missing
CSattitude5[2] has 21 (55.3%) missing values Missing
CSattitude5[3] has 22 (57.9%) missing values Missing
CSattitude5[4] has 26 (68.4%) missing values Missing
CSattitude5[5] has 27 (71.1%) missing values Missing
CSattitude5[6] has 27 (71.1%) missing values Missing
CSattitude6[1] has 18 (47.4%) missing values Missing
CSattitude6[2] has 21 (55.3%) missing values Missing
CSattitude6[3] has 23 (60.5%) missing values Missing
CSattitude6[4] has 27 (71.1%) missing values Missing
CSattitude6[5] has 27 (71.1%) missing values Missing
CSattitude6[6] has 27 (71.1%) missing values Missing
CSgender has 15 (39.5%) missing values Missing
CScampact1[7] is an unsupported type, check if it needs cleaning or further analysis Unsupported
CScampact1[8] is an unsupported type, check if it needs cleaning or further analysis Unsupported
CScampact2other is an unsupported type, check if it needs cleaning or further analysis Unsupported
CSadvocact1[8] is an unsupported type, check if it needs cleaning or further analysis Unsupported
CSlitigateact1[7] is an unsupported type, check if it needs cleaning or further analysis Unsupported
CSlitigateact1[8] is an unsupported type, check if it needs cleaning or further analysis Unsupported
CSconstraintinter3 is an unsupported type, check if it needs cleaning or further analysis Unsupported
CSconstraintinter5other is an unsupported type, check if it needs cleaning or further analysis Unsupported
CSconstraintinter6other is an unsupported type, check if it needs cleaning or further analysis Unsupported
CShr2 has 1 (2.6%) zeros Zeros

Reproduction

Analysis started2021-07-28 08:40:46.664070
Analysis finished2021-07-28 08:40:47.351056
Duration0.69 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

country
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size432.0 B
Germany
18 
United Kingdom
13 
France
7 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnited Kingdom
2nd rowUnited Kingdom
3rd rowUnited Kingdom
4th rowUnited Kingdom
5th rowUnited Kingdom

Common Values

ValueCountFrequency (%)
Germany18
47.4%
United Kingdom13
34.2%
France7
 
18.4%

Pie chart

2021-07-28T10:40:47.511836image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

lastpage
Real number (ℝ≥0)

Distinct10
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.34210526
Minimum3
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size432.0 B
2021-07-28T10:40:47.583815image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q117
median23
Q323
95-th percentile23
Maximum23
Range20
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.360509368
Coefficient of variation (CV)0.4012903242
Kurtosis0.09077667249
Mean18.34210526
Median Absolute Deviation (MAD)0
Skewness-1.316487289
Sum697
Variance54.17709815
MonotonicityNot monotonic
2021-07-28T10:40:47.682680image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2324
63.2%
33
 
7.9%
52
 
5.3%
172
 
5.3%
182
 
5.3%
191
 
2.6%
111
 
2.6%
161
 
2.6%
61
 
2.6%
41
 
2.6%
ValueCountFrequency (%)
33
7.9%
41
 
2.6%
52
5.3%
61
 
2.6%
111
 
2.6%
ValueCountFrequency (%)
2324
63.2%
191
 
2.6%
182
 
5.3%
172
 
5.3%
161
 
2.6%

CShr1
Categorical

Distinct5
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size432.0 B
Full-time
24 
Part-time (>50%)
8 
Freelance
4 
Part-time (<50%)
 
1
Other
 
1

Unique

Unique2 ?
Unique (%)5.3%

Sample

1st rowPart-time (<50%)
2nd rowFull-time
3rd rowFull-time
4th rowFreelance
5th rowFull-time

Common Values

ValueCountFrequency (%)
Full-time24
63.2%
Part-time (>50%)8
 
21.1%
Freelance4
 
10.5%
Part-time (<50%)1
 
2.6%
Other1
 
2.6%

Pie chart

2021-07-28T10:40:47.874769image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CShr2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct8
Distinct (%)22.2%
Missing2
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean3.5
Minimum0
Maximum15
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size432.0 B
2021-07-28T10:40:47.958331image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q11.75
median2.5
Q34
95-th percentile15
Maximum15
Range15
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation3.751190287
Coefficient of variation (CV)1.071768654
Kurtosis5.816225783
Mean3.5
Median Absolute Deviation (MAD)1.5
Skewness2.492227754
Sum126
Variance14.07142857
MonotonicityNot monotonic
2021-07-28T10:40:48.057500image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
29
23.7%
47
18.4%
16
15.8%
36
15.8%
153
 
7.9%
52
 
5.3%
0.52
 
5.3%
01
 
2.6%
(Missing)2
 
5.3%
ValueCountFrequency (%)
01
 
2.6%
0.52
 
5.3%
16
15.8%
29
23.7%
36
15.8%
ValueCountFrequency (%)
153
 
7.9%
52
 
5.3%
47
18.4%
36
15.8%
29
23.7%

CSexpertise1
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)47.1%
Missing4
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean11.98529412
Minimum0.5
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size432.0 B
2021-07-28T10:40:48.166409image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile2.65
Q15
median9.5
Q318.75
95-th percentile26
Maximum40
Range39.5
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation9.434370829
Coefficient of variation (CV)0.7871622287
Kurtosis0.7886472462
Mean11.98529412
Median Absolute Deviation (MAD)4.5
Skewness1.171417437
Sum407.5
Variance89.00735294
MonotonicityNot monotonic
2021-07-28T10:40:48.279755image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
105
13.2%
54
10.5%
253
7.9%
63
7.9%
263
7.9%
32
 
5.3%
202
 
5.3%
42
 
5.3%
122
 
5.3%
72
 
5.3%
Other values (6)6
15.8%
(Missing)4
10.5%
ValueCountFrequency (%)
0.51
 
2.6%
21
 
2.6%
32
5.3%
42
5.3%
54
10.5%
ValueCountFrequency (%)
401
 
2.6%
263
7.9%
253
7.9%
202
5.3%
151
 
2.6%

CSexpertise2
Categorical

MISSING

Distinct4
Distinct (%)11.1%
Missing2
Missing (%)5.3%
Memory size432.0 B
Advanced knowledge
15 
Some knowledge
8 
Basic knowledge
7 
Expert knowledge
6 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSome knowledge
2nd rowAdvanced knowledge
3rd rowAdvanced knowledge
4th rowAdvanced knowledge
5th rowAdvanced knowledge

Common Values

ValueCountFrequency (%)
Advanced knowledge15
39.5%
Some knowledge8
21.1%
Basic knowledge7
18.4%
Expert knowledge6
 
15.8%
(Missing)2
 
5.3%

Pie chart

2021-07-28T10:40:48.582238image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSexpertise3
Categorical

MISSING

Distinct4
Distinct (%)11.1%
Missing2
Missing (%)5.3%
Memory size432.0 B
Advanced knowledge
17 
Some knowledge
11 
Expert knowledge
7 
Basic knowledge
 
1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st rowSome knowledge
2nd rowSome knowledge
3rd rowAdvanced knowledge
4th rowAdvanced knowledge
5th rowAdvanced knowledge

Common Values

ValueCountFrequency (%)
Advanced knowledge17
44.7%
Some knowledge11
28.9%
Expert knowledge7
18.4%
Basic knowledge1
 
2.6%
(Missing)2
 
5.3%

Pie chart

2021-07-28T10:40:48.759560image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSexpertise4
Categorical

MISSING

Distinct5
Distinct (%)13.9%
Missing2
Missing (%)5.3%
Memory size432.0 B
Some knowledge
18 
Advanced knowledge
7 
Basic knowledge
7 
Expert knowledge
3 
No knowledge
 
1

Unique

Unique1 ?
Unique (%)2.8%

Sample

1st rowSome knowledge
2nd rowSome knowledge
3rd rowSome knowledge
4th rowAdvanced knowledge
5th rowAdvanced knowledge

Common Values

ValueCountFrequency (%)
Some knowledge18
47.4%
Advanced knowledge7
 
18.4%
Basic knowledge7
 
18.4%
Expert knowledge3
 
7.9%
No knowledge1
 
2.6%
(Missing)2
 
5.3%

Pie chart

2021-07-28T10:40:48.939507image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfinance1
Categorical

MISSING

Distinct6
Distinct (%)18.2%
Missing5
Missing (%)13.2%
Memory size432.0 B
Little funding
9 
Sufficient funding
9 
Some funding
7 
No funding
4 
I prefer not to say
3 

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st rowLittle funding
2nd rowSufficient funding
3rd rowLittle funding
4th rowLittle funding
5th rowLittle funding

Common Values

ValueCountFrequency (%)
Little funding9
23.7%
Sufficient funding9
23.7%
Some funding7
18.4%
No funding4
10.5%
I prefer not to say3
 
7.9%
I don't know1
 
2.6%
(Missing)5
13.2%

Pie chart

2021-07-28T10:40:49.135773image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfinance2[private_foundations]
Categorical

MISSING

Distinct6
Distinct (%)18.8%
Missing6
Missing (%)15.8%
Memory size432.0 B
No important at all
11 
Very important
9 
Important
5 
Slightly important
3 
Somewhat important
3 

Unique

Unique1 ?
Unique (%)3.1%

Sample

1st rowImportant
2nd rowImportant
3rd rowImportant
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
No important at all11
28.9%
Very important9
23.7%
Important5
13.2%
Slightly important3
 
7.9%
Somewhat important3
 
7.9%
I prefer not to say1
 
2.6%
(Missing)6
15.8%

Pie chart

2021-07-28T10:40:49.320028image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfinance2[donations]
Categorical

MISSING

Distinct5
Distinct (%)16.1%
Missing7
Missing (%)18.4%
Memory size432.0 B
Very important
11 
No important at all
8 
Important
6 
Slightly important
5 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st rowImportant
2nd rowNo important at all
3rd rowVery important
4th rowNo important at all
5th rowNo important at all

Common Values

ValueCountFrequency (%)
Very important11
28.9%
No important at all8
21.1%
Important6
15.8%
Slightly important5
13.2%
I prefer not to say1
 
2.6%
(Missing)7
18.4%

Pie chart

2021-07-28T10:40:49.507897image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfinance2[national_public_funds]
Categorical

MISSING

Distinct6
Distinct (%)19.4%
Missing7
Missing (%)18.4%
Memory size432.0 B
No important at all
19 
Somewhat important
4 
Important
4 
Slightly important
2 
Very important
 
1

Unique

Unique2 ?
Unique (%)6.5%

Sample

1st rowNo important at all
2nd rowSlightly important
3rd rowNo important at all
4th rowVery important
5th rowNo important at all

Common Values

ValueCountFrequency (%)
No important at all19
50.0%
Somewhat important4
 
10.5%
Important4
 
10.5%
Slightly important2
 
5.3%
Very important1
 
2.6%
I prefer not to say1
 
2.6%
(Missing)7
 
18.4%

Pie chart

2021-07-28T10:40:49.690947image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfinance2[corporate_sponsorship]
Categorical

MISSING

Distinct5
Distinct (%)16.7%
Missing8
Missing (%)21.1%
Memory size432.0 B
No important at all
20 
Slightly important
5 
Somewhat important
 
2
Important
 
2
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st rowNo important at all
2nd rowNo important at all
3rd rowSomewhat important
4th rowImportant
5th rowNo important at all

Common Values

ValueCountFrequency (%)
No important at all20
52.6%
Slightly important5
 
13.2%
Somewhat important2
 
5.3%
Important2
 
5.3%
I prefer not to say1
 
2.6%
(Missing)8
 
21.1%

Pie chart

2021-07-28T10:40:49.881577image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfinance2[international_public_funds]
Categorical

MISSING

Distinct6
Distinct (%)19.4%
Missing7
Missing (%)18.4%
Memory size432.0 B
No important at all
18 
Slightly important
5 
Important
4 
Somewhat important
2 
Very important
 
1

Unique

Unique2 ?
Unique (%)6.5%

Sample

1st rowSlightly important
2nd rowImportant
3rd rowNo important at all
4th rowVery important
5th rowNo important at all

Common Values

ValueCountFrequency (%)
No important at all18
47.4%
Slightly important5
 
13.2%
Important4
 
10.5%
Somewhat important2
 
5.3%
Very important1
 
2.6%
I prefer not to say1
 
2.6%
(Missing)7
 
18.4%

Pie chart

2021-07-28T10:40:50.064159image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfinance2[other]
Categorical

MISSING

Distinct6
Distinct (%)22.2%
Missing11
Missing (%)28.9%
Memory size432.0 B
No important at all
16 
I don't know
5 
Important
2 
Very important
2 
Somewhat important
 
1

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st rowNo important at all
2nd rowI don't know
3rd rowNo important at all
4th rowI don't know
5th rowI don't know

Common Values

ValueCountFrequency (%)
No important at all16
42.1%
I don't know5
 
13.2%
Important2
 
5.3%
Very important2
 
5.3%
Somewhat important1
 
2.6%
I prefer not to say1
 
2.6%
(Missing)11
28.9%

Pie chart

2021-07-28T10:40:50.261452image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfinance2other
Categorical

MISSING

Distinct4
Distinct (%)100.0%
Missing34
Missing (%)89.5%
Memory size432.0 B
Co-Finanzierung von Klagen durch Partnerorganisationen
1 
Eigene ehrenamtliche Arbeit
1 
Mitgliedsbeiträge von Vereinsmitgliedern (--> Damit kann man konstanter planen als mit Spenden, gerade was langfristige Litigation-Projekte angeht ist das wichtig)
1 
Mitgliedsbeiträge
1 

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st rowCo-Finanzierung von Klagen durch Partnerorganisationen
2nd rowEigene ehrenamtliche Arbeit
3rd rowMitgliedsbeiträge von Vereinsmitgliedern (--> Damit kann man konstanter planen als mit Spenden, gerade was langfristige Litigation-Projekte angeht ist das wichtig)
4th rowMitgliedsbeiträge

Common Values

ValueCountFrequency (%)
Co-Finanzierung von Klagen durch Partnerorganisationen1
 
2.6%
Eigene ehrenamtliche Arbeit1
 
2.6%
Mitgliedsbeiträge von Vereinsmitgliedern (--> Damit kann man konstanter planen als mit Spenden, gerade was langfristige Litigation-Projekte angeht ist das wichtig)1
 
2.6%
Mitgliedsbeiträge1
 
2.6%
(Missing)34
89.5%

Pie chart

2021-07-28T10:40:50.440843image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfinance3
Categorical

MISSING

Distinct20
Distinct (%)87.0%
Missing15
Missing (%)39.5%
Memory size432.0 B
Spenden
3 
Private Stiftungen
2 
foundations.
 
1
Wir sind eine ausschließlich spendenfinanziert Organisation. Wir nehmen keine öffentlichen Gelder oder Unternehmenssponsoring.
 
1
- Projets de recherche européens - Fondations privées
 
1
Other values (15)
15 

Unique

Unique18 ?
Unique (%)78.3%

Sample

1st rowfoundations.
2nd rowtrusts and foundations
3rd rowI managed to do intelligence-related work in the context of broader studies commissioned by the EU (European Parliament), but did most of my work without being paid, as part of my work with civil society.
4th rowHave only obtained funding to work on cybersecurity policy but not intelligence.
5th rowPrivate foundations

Common Values

ValueCountFrequency (%)
Spenden3
 
7.9%
Private Stiftungen2
 
5.3%
foundations.1
 
2.6%
Wir sind eine ausschließlich spendenfinanziert Organisation. Wir nehmen keine öffentlichen Gelder oder Unternehmenssponsoring. 1
 
2.6%
- Projets de recherche européens - Fondations privées1
 
2.6%
Mitgliedsbeiträge1
 
2.6%
Spenden- und Mitgliedsbeiträge allgemein für die Organisation (nicht speziell für ND-Arbeit, dafür wird wenig bis gar nicht zweckgebunden gespendet)1
 
2.6%
Eigene ehrenamtliche Arbeit1
 
2.6%
Spenden - Garantieren Unabhängigkeit1
 
2.6%
Wir nehmen (mit seltenen, hier nicht relevanten Ausnahmen) ausschließlich Spenden privater Personen.1
 
2.6%
Other values (10)10
26.3%
(Missing)15
39.5%

CSfinance4
Categorical

MISSING

Distinct6
Distinct (%)20.0%
Missing8
Missing (%)21.1%
Memory size432.0 B
No effect on fundraising
7 
Rather beneficial for fundraising
6 
I don't know
6 
Clearly beneficial for fundraising
6 
Rather constraining for fundraising
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRather beneficial for fundraising
2nd rowNo effect on fundraising
3rd rowI don't know
4th rowClearly beneficial for fundraising
5th rowI don't know

Common Values

ValueCountFrequency (%)
No effect on fundraising7
18.4%
Rather beneficial for fundraising6
15.8%
I don't know6
15.8%
Clearly beneficial for fundraising6
15.8%
Rather constraining for fundraising3
 
7.9%
I prefer not to say2
 
5.3%
(Missing)8
21.1%

Pie chart

2021-07-28T10:40:50.906740image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfoi1
Categorical

MISSING

Distinct2
Distinct (%)6.5%
Missing7
Missing (%)18.4%
Memory size432.0 B
No
25 
Yes
6 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No25
65.8%
Yes6
 
15.8%
(Missing)7
 
18.4%

Pie chart

2021-07-28T10:40:51.097978image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfoi2
Real number (ℝ≥0)

MISSING

Distinct4
Distinct (%)66.7%
Missing32
Missing (%)84.2%
Infinite0
Infinite (%)0.0%
Mean8.5
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size432.0 B
2021-07-28T10:40:51.158596image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median5
Q312.5
95-th percentile18.75
Maximum20
Range19
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation7.314369419
Coefficient of variation (CV)0.8605140493
Kurtosis-0.6521093545
Mean8.5
Median Absolute Deviation (MAD)2
Skewness0.9544648364
Sum51
Variance53.5
MonotonicityNot monotonic
2021-07-28T10:40:51.253396image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
53
 
7.9%
151
 
2.6%
201
 
2.6%
11
 
2.6%
(Missing)32
84.2%
ValueCountFrequency (%)
11
 
2.6%
53
7.9%
151
 
2.6%
201
 
2.6%
ValueCountFrequency (%)
201
 
2.6%
151
 
2.6%
53
7.9%
11
 
2.6%

CSfoi3
Categorical

MISSING

Distinct3
Distinct (%)50.0%
Missing32
Missing (%)84.2%
Memory size432.0 B
No, usually longer than 30 days
3 
Yes, within 30 days
2 
I don't know
1 

Unique

Unique1 ?
Unique (%)16.7%

Sample

1st rowI don't know
2nd rowNo, usually longer than 30 days
3rd rowYes, within 30 days
4th rowNo, usually longer than 30 days
5th rowNo, usually longer than 30 days

Common Values

ValueCountFrequency (%)
No, usually longer than 30 days3
 
7.9%
Yes, within 30 days2
 
5.3%
I don't know1
 
2.6%
(Missing)32
84.2%

Pie chart

2021-07-28T10:40:51.454009image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfoi4
Categorical

MISSING

Distinct2
Distinct (%)33.3%
Missing32
Missing (%)84.2%
Memory size432.0 B
Helpful in parts
4 
Not helpful at all
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot helpful at all
2nd rowHelpful in parts
3rd rowHelpful in parts
4th rowNot helpful at all
5th rowHelpful in parts

Common Values

ValueCountFrequency (%)
Helpful in parts4
 
10.5%
Not helpful at all2
 
5.3%
(Missing)32
84.2%

Pie chart

2021-07-28T10:40:51.622726image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfoi5[not_aware]
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
37 
True
 
1
ValueCountFrequency (%)
False37
97.4%
True1
 
2.6%
2021-07-28T10:40:51.665546image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfoi5[not_covered]
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
33 
True
5 
ValueCountFrequency (%)
False33
86.8%
True5
 
13.2%
2021-07-28T10:40:51.706500image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfoi5[too_expensive]
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
38 
ValueCountFrequency (%)
False38
100.0%
2021-07-28T10:40:51.744859image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfoi5[too_time_consuming]
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
33 
True
5 
ValueCountFrequency (%)
False33
86.8%
True5
 
13.2%
2021-07-28T10:40:51.779191image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfoi5[afraid_of_data_destruction]
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
38 
ValueCountFrequency (%)
False38
100.0%
2021-07-28T10:40:51.817757image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfoi5[afraid_of_discrimination]
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
38 
ValueCountFrequency (%)
False38
100.0%
2021-07-28T10:40:51.850434image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfoi5[other]
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
26 
True
12 
ValueCountFrequency (%)
False26
68.4%
True12
31.6%
2021-07-28T10:40:51.884630image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfoi5[dont_know]
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
37 
True
 
1
ValueCountFrequency (%)
False37
97.4%
True1
 
2.6%
2021-07-28T10:40:51.923952image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfoi5[prefer_not_to_say]
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
35 
True
 
3
ValueCountFrequency (%)
False35
92.1%
True3
 
7.9%
2021-07-28T10:40:51.963420image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSfoi5other
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
27 
True
11 
ValueCountFrequency (%)
False27
71.1%
True11
28.9%
2021-07-28T10:40:52.002586image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSpreselection
Categorical

MISSING

Distinct3
Distinct (%)9.4%
Missing6
Missing (%)15.8%
Memory size432.0 B
Policy Advocacy
14 
Public Campaigning
9 
Strategic Litigation
9 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPublic Campaigning
2nd rowPolicy Advocacy
3rd rowPolicy Advocacy
4th rowPolicy Advocacy
5th rowPolicy Advocacy

Common Values

ValueCountFrequency (%)
Policy Advocacy14
36.8%
Public Campaigning9
23.7%
Strategic Litigation9
23.7%
(Missing)6
15.8%

Pie chart

2021-07-28T10:40:52.155314image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact1[1]
Categorical

MISSING

Distinct3
Distinct (%)75.0%
Missing34
Missing (%)89.5%
Memory size432.0 B
Allo place BEauvau
2 
Terrorfilter (TERREG)
1 
Loi renseignement 2015
1 

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st rowTerrorfilter (TERREG)
2nd rowLoi renseignement 2015
3rd rowAllo place BEauvau
4th rowAllo place BEauvau

Common Values

ValueCountFrequency (%)
Allo place BEauvau2
 
5.3%
Terrorfilter (TERREG)1
 
2.6%
Loi renseignement 20151
 
2.6%
(Missing)34
89.5%

Pie chart

2021-07-28T10:40:52.319019image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact1[2]
Categorical

MISSING

Distinct3
Distinct (%)75.0%
Missing34
Missing (%)89.5%
Memory size432.0 B
Allo IGPN
2 
NetzDG
1 
modif intermédiaore 2017-2020
1 

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st rowNetzDG
2nd rowmodif intermédiaore 2017-2020
3rd rowAllo IGPN
4th rowAllo IGPN

Common Values

ValueCountFrequency (%)
Allo IGPN2
 
5.3%
NetzDG1
 
2.6%
modif intermédiaore 2017-20201
 
2.6%
(Missing)34
89.5%

Pie chart

2021-07-28T10:40:52.482655image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact1[3]
Categorical

MISSING

Distinct3
Distinct (%)75.0%
Missing34
Missing (%)89.5%
Memory size432.0 B
Un pays qui se tient sage
2 
E-Evidence Verordnung
1 
Loi pater 2021
1 

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st rowE-Evidence Verordnung
2nd rowLoi pater 2021
3rd rowUn pays qui se tient sage
4th rowUn pays qui se tient sage

Common Values

ValueCountFrequency (%)
Un pays qui se tient sage2
 
5.3%
E-Evidence Verordnung1
 
2.6%
Loi pater 20211
 
2.6%
(Missing)34
89.5%

Pie chart

2021-07-28T10:40:52.647166image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact1[4]
Categorical

MISSING

Distinct2
Distinct (%)100.0%
Missing36
Missing (%)94.7%
Memory size432.0 B
Reclaim your face
1 
Sensibilisation générale
1 

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowReclaim your face
2nd rowSensibilisation générale

Common Values

ValueCountFrequency (%)
Reclaim your face1
 
2.6%
Sensibilisation générale1
 
2.6%
(Missing)36
94.7%

Pie chart

2021-07-28T10:40:52.936012image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact1[5]
Categorical

MISSING

Distinct2
Distinct (%)100.0%
Missing36
Missing (%)94.7%
Memory size432.0 B
Vorratsdatenspeicherung
1 
etc
1 

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowVorratsdatenspeicherung
2nd rowetc

Common Values

ValueCountFrequency (%)
Vorratsdatenspeicherung1
 
2.6%
etc1
 
2.6%
(Missing)36
94.7%

Pie chart

2021-07-28T10:40:53.095330image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact1[6]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size432.0 B
NOPNR - Fluggastdatenspeicherung
1 

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowNOPNR - Fluggastdatenspeicherung

Common Values

ValueCountFrequency (%)
NOPNR - Fluggastdatenspeicherung1
 
2.6%
(Missing)37
97.4%

Pie chart

2021-07-28T10:40:53.233322image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact1[7]
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing38
Missing (%)100.0%
Memory size432.0 B

CScampact1[8]
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing38
Missing (%)100.0%
Memory size432.0 B

CScampact2[media_contributions]
Categorical

MISSING

Distinct3
Distinct (%)37.5%
Missing30
Missing (%)78.9%
Memory size432.0 B
Very important
4 
Somewhat important
3 
Important
1 

Unique

Unique1 ?
Unique (%)12.5%

Sample

1st rowImportant
2nd rowVery important
3rd rowSomewhat important
4th rowVery important
5th rowSomewhat important

Common Values

ValueCountFrequency (%)
Very important4
 
10.5%
Somewhat important3
 
7.9%
Important1
 
2.6%
(Missing)30
78.9%

Pie chart

2021-07-28T10:40:53.390042image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact2[own_publications]
Categorical

MISSING

Distinct2
Distinct (%)25.0%
Missing30
Missing (%)78.9%
Memory size432.0 B
Very important
5 
Important
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowImportant
2nd rowVery important
3rd rowImportant
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important5
 
13.2%
Important3
 
7.9%
(Missing)30
78.9%

Pie chart

2021-07-28T10:40:53.568369image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact2[petitions_open_letters]
Categorical

MISSING

Distinct5
Distinct (%)62.5%
Missing30
Missing (%)78.9%
Memory size432.0 B
Somewhat important
3 
Slightly important
2 
Very important
1 
Important
1 
I prefer not to say
1 

Unique

Unique3 ?
Unique (%)37.5%

Sample

1st rowSlightly important
2nd rowVery important
3rd rowSomewhat important
4th rowImportant
5th rowSomewhat important

Common Values

ValueCountFrequency (%)
Somewhat important3
 
7.9%
Slightly important2
 
5.3%
Very important1
 
2.6%
Important1
 
2.6%
I prefer not to say1
 
2.6%
(Missing)30
78.9%

Pie chart

2021-07-28T10:40:53.740472image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact2[public_events]
Categorical

MISSING

Distinct3
Distinct (%)37.5%
Missing30
Missing (%)78.9%
Memory size432.0 B
Somewhat important
3 
Very important
3 
Important
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowImportant
2nd rowSomewhat important
3rd rowSomewhat important
4th rowImportant
5th rowSomewhat important

Common Values

ValueCountFrequency (%)
Somewhat important3
 
7.9%
Very important3
 
7.9%
Important2
 
5.3%
(Missing)30
78.9%

Pie chart

2021-07-28T10:40:53.923226image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact2[collaborations]
Categorical

MISSING

Distinct5
Distinct (%)62.5%
Missing30
Missing (%)78.9%
Memory size432.0 B
Slightly important
3 
Not important at all
2 
Somewhat important
1 
Important
1 
I prefer not to say
1 

Unique

Unique3 ?
Unique (%)37.5%

Sample

1st rowNot important at all
2nd rowNot important at all
3rd rowSlightly important
4th rowSomewhat important
5th rowSlightly important

Common Values

ValueCountFrequency (%)
Slightly important3
 
7.9%
Not important at all2
 
5.3%
Somewhat important1
 
2.6%
Important1
 
2.6%
I prefer not to say1
 
2.6%
(Missing)30
78.9%

Pie chart

2021-07-28T10:40:54.107715image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact2[demonstrations]
Categorical

MISSING

Distinct5
Distinct (%)62.5%
Missing30
Missing (%)78.9%
Memory size432.0 B
Important
3 
Somewhat important
2 
Not important at all
1 
Slightly important
1 
Very important
1 

Unique

Unique3 ?
Unique (%)37.5%

Sample

1st rowNot important at all
2nd rowImportant
3rd rowSomewhat important
4th rowImportant
5th rowSlightly important

Common Values

ValueCountFrequency (%)
Important3
 
7.9%
Somewhat important2
 
5.3%
Not important at all1
 
2.6%
Slightly important1
 
2.6%
Very important1
 
2.6%
(Missing)30
78.9%

Pie chart

2021-07-28T10:40:54.305078image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact2[social_media]
Categorical

MISSING

Distinct4
Distinct (%)50.0%
Missing30
Missing (%)78.9%
Memory size432.0 B
Important
3 
Very important
3 
Not important at all
1 
Somewhat important
1 

Unique

Unique2 ?
Unique (%)25.0%

Sample

1st rowNot important at all
2nd rowImportant
3rd rowSomewhat important
4th rowVery important
5th rowImportant

Common Values

ValueCountFrequency (%)
Important3
 
7.9%
Very important3
 
7.9%
Not important at all1
 
2.6%
Somewhat important1
 
2.6%
(Missing)30
78.9%

Pie chart

2021-07-28T10:40:54.497037image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact2[advertising]
Categorical

MISSING

Distinct4
Distinct (%)50.0%
Missing30
Missing (%)78.9%
Memory size432.0 B
I prefer not to say
4 
Not important at all
2 
Somewhat important
1 
Important
1 

Unique

Unique2 ?
Unique (%)25.0%

Sample

1st rowNot important at all
2nd rowNot important at all
3rd rowI prefer not to say
4th rowSomewhat important
5th rowI prefer not to say

Common Values

ValueCountFrequency (%)
I prefer not to say4
 
10.5%
Not important at all2
 
5.3%
Somewhat important1
 
2.6%
Important1
 
2.6%
(Missing)30
78.9%

Pie chart

2021-07-28T10:40:54.686517image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact2[volunteer_activities]
Categorical

MISSING

Distinct5
Distinct (%)71.4%
Missing31
Missing (%)81.6%
Memory size432.0 B
Somewhat important
2 
Slightly important
2 
Not important at all
1 
Important
1 
I prefer not to say
1 

Unique

Unique3 ?
Unique (%)42.9%

Sample

1st rowNot important at all
2nd rowSomewhat important
3rd rowSlightly important
4th rowSomewhat important
5th rowImportant

Common Values

ValueCountFrequency (%)
Somewhat important2
 
5.3%
Slightly important2
 
5.3%
Not important at all1
 
2.6%
Important1
 
2.6%
I prefer not to say1
 
2.6%
(Missing)31
81.6%

Pie chart

2021-07-28T10:40:54.856578image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact2[providing_technical_tools]
Categorical

MISSING

Distinct4
Distinct (%)50.0%
Missing30
Missing (%)78.9%
Memory size432.0 B
I prefer not to say
3 
Not important at all
2 
Slightly important
2 
Important
1 

Unique

Unique1 ?
Unique (%)12.5%

Sample

1st rowNot important at all
2nd rowNot important at all
3rd rowI prefer not to say
4th rowSlightly important
5th rowSlightly important

Common Values

ValueCountFrequency (%)
I prefer not to say3
 
7.9%
Not important at all2
 
5.3%
Slightly important2
 
5.3%
Important1
 
2.6%
(Missing)30
78.9%

Pie chart

2021-07-28T10:40:55.080030image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact2[support_for_eu_campaigns]
Categorical

MISSING

Distinct4
Distinct (%)57.1%
Missing31
Missing (%)81.6%
Memory size432.0 B
Important
2 
Somewhat important
2 
I prefer not to say
2 
Slightly important
1 

Unique

Unique1 ?
Unique (%)14.3%

Sample

1st rowImportant
2nd rowSomewhat important
3rd rowSomewhat important
4th rowImportant
5th rowSlightly important

Common Values

ValueCountFrequency (%)
Important2
 
5.3%
Somewhat important2
 
5.3%
I prefer not to say2
 
5.3%
Slightly important1
 
2.6%
(Missing)31
81.6%

Pie chart

2021-07-28T10:40:55.401321image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact2[other]
Categorical

MISSING

Distinct2
Distinct (%)66.7%
Missing35
Missing (%)92.1%
Memory size432.0 B
I prefer not to say
2 
Not important at all
1 

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st rowNot important at all
2nd rowI prefer not to say
3rd rowI prefer not to say

Common Values

ValueCountFrequency (%)
I prefer not to say2
 
5.3%
Not important at all1
 
2.6%
(Missing)35
92.1%

Pie chart

2021-07-28T10:40:55.561615image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampact2other
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing38
Missing (%)100.0%
Memory size432.0 B

CScamptrans1
Categorical

MISSING

Distinct3
Distinct (%)37.5%
Missing30
Missing (%)78.9%
Memory size432.0 B
Rarely (25% of the time)
4 
Sometimes (50% of the time)
2 
Often (75% of the time)
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSometimes (50% of the time)
2nd rowRarely (25% of the time)
3rd rowRarely (25% of the time)
4th rowOften (75% of the time)
5th rowRarely (25% of the time)

Common Values

ValueCountFrequency (%)
Rarely (25% of the time)4
 
10.5%
Sometimes (50% of the time)2
 
5.3%
Often (75% of the time)2
 
5.3%
(Missing)30
78.9%

Pie chart

2021-07-28T10:40:55.739016image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScamptrans2
Categorical

MISSING

Distinct3
Distinct (%)42.9%
Missing31
Missing (%)81.6%
Memory size432.0 B
Often (75% of the time)
3 
Rarely (25% of the time)
3 
Sometimes (50% of the time)
1 

Unique

Unique1 ?
Unique (%)14.3%

Sample

1st rowOften (75% of the time)
2nd rowSometimes (50% of the time)
3rd rowRarely (25% of the time)
4th rowOften (75% of the time)
5th rowRarely (25% of the time)

Common Values

ValueCountFrequency (%)
Often (75% of the time)3
 
7.9%
Rarely (25% of the time)3
 
7.9%
Sometimes (50% of the time)1
 
2.6%
(Missing)31
81.6%

Pie chart

2021-07-28T10:40:55.937308image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampimpact1[increased_awareness]
Categorical

MISSING

Distinct3
Distinct (%)42.9%
Missing31
Missing (%)81.6%
Memory size432.0 B
Agree to a great extent
3 
Agree somewhat
2 
Agree completely
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree to a great extent
2nd rowAgree to a great extent
3rd rowAgree somewhat
4th rowAgree to a great extent
5th rowAgree somewhat

Common Values

ValueCountFrequency (%)
Agree to a great extent3
 
7.9%
Agree somewhat2
 
5.3%
Agree completely2
 
5.3%
(Missing)31
81.6%

Pie chart

2021-07-28T10:40:56.103148image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampimpact1[policies_reflect_demands]
Categorical

MISSING

Distinct4
Distinct (%)57.1%
Missing31
Missing (%)81.6%
Memory size432.0 B
Agree sligthly
3 
Agree somewhat
2 
Agree to a great extent
1 
Not agree at all
1 

Unique

Unique2 ?
Unique (%)28.6%

Sample

1st rowAgree sligthly
2nd rowAgree to a great extent
3rd rowAgree sligthly
4th rowAgree sligthly
5th rowNot agree at all

Common Values

ValueCountFrequency (%)
Agree sligthly3
 
7.9%
Agree somewhat2
 
5.3%
Agree to a great extent1
 
2.6%
Not agree at all1
 
2.6%
(Missing)31
81.6%

Pie chart

2021-07-28T10:40:56.287353image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampimpact1[created_media_attention]
Categorical

MISSING

Distinct3
Distinct (%)42.9%
Missing31
Missing (%)81.6%
Memory size432.0 B
Agree somewhat
3 
Agree to a great extent
3 
Agree completely
1 

Unique

Unique1 ?
Unique (%)14.3%

Sample

1st rowAgree somewhat
2nd rowAgree somewhat
3rd rowAgree to a great extent
4th rowAgree to a great extent
5th rowAgree somewhat

Common Values

ValueCountFrequency (%)
Agree somewhat3
 
7.9%
Agree to a great extent3
 
7.9%
Agree completely1
 
2.6%
(Missing)31
81.6%

Pie chart

2021-07-28T10:40:56.480375image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampimpact1[achieved_goals]
Categorical

MISSING

Distinct5
Distinct (%)71.4%
Missing31
Missing (%)81.6%
Memory size432.0 B
Not agree at all
2 
Agree sligthly
2 
Agree to a great extent
1 
I don't know
1 
Agree somewhat
1 

Unique

Unique3 ?
Unique (%)42.9%

Sample

1st rowNot agree at all
2nd rowAgree to a great extent
3rd rowAgree sligthly
4th rowNot agree at all
5th rowI don't know

Common Values

ValueCountFrequency (%)
Not agree at all2
 
5.3%
Agree sligthly2
 
5.3%
Agree to a great extent1
 
2.6%
I don't know1
 
2.6%
Agree somewhat1
 
2.6%
(Missing)31
81.6%

Pie chart

2021-07-28T10:40:56.643984image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CScampimpact2
Categorical

MISSING

Distinct2
Distinct (%)100.0%
Missing36
Missing (%)94.7%
Memory size432.0 B
Greater interest in interoperability of EU JHA databases, in the ways in which travel surveillance and migration policy are promoting systems of generalised surveillance, concern about the possible use of underhand tactics to undermine migrant solidarity and NGOs at sea, concerns about AI and facial recognition are currently hot topics, like in the Reclaim your Face campaign.
1 
https://www.davduf.net/alloplacebeauvau-bilan https://www.mediapart.fr/studio/panoramique/allo-place-beauvau-cest-pour-un-bilan
1 

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowGreater interest in interoperability of EU JHA databases, in the ways in which travel surveillance and migration policy are promoting systems of generalised surveillance, concern about the possible use of underhand tactics to undermine migrant solidarity and NGOs at sea, concerns about AI and facial recognition are currently hot topics, like in the Reclaim your Face campaign.
2nd rowhttps://www.davduf.net/alloplacebeauvau-bilan https://www.mediapart.fr/studio/panoramique/allo-place-beauvau-cest-pour-un-bilan

Common Values

ValueCountFrequency (%)
Greater interest in interoperability of EU JHA databases, in the ways in which travel surveillance and migration policy are promoting systems of generalised surveillance, concern about the possible use of underhand tactics to undermine migrant solidarity and NGOs at sea, concerns about AI and facial recognition are currently hot topics, like in the Reclaim your Face campaign.1
 
2.6%
https://www.davduf.net/alloplacebeauvau-bilan https://www.mediapart.fr/studio/panoramique/allo-place-beauvau-cest-pour-un-bilan1
 
2.6%
(Missing)36
94.7%

Pie chart

2021-07-28T10:40:56.821836image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact1[1]
Categorical

MISSING

Distinct12
Distinct (%)100.0%
Missing26
Missing (%)68.4%
Memory size432.0 B
Primarily our work has been concerned with biometrics and facial recognition - developing understanding on public attitudes and legal regulation.
1 
Submissions to EU (and to a lesser extent national/EU MSs) bodies, esp. the EP (LIBE Ctee)
1 
Lobbying parliament for and during legal reforms, including drafting amendments
1 
Oversight engagement with civil society report
1 
Writing policy reports
1 
Other values (7)
7 

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st rowPrimarily our work has been concerned with biometrics and facial recognition - developing understanding on public attitudes and legal regulation.
2nd rowSubmissions to EU (and to a lesser extent national/EU MSs) bodies, esp. the EP (LIBE Ctee)
3rd rowLobbying parliament for and during legal reforms, including drafting amendments
4th rowOversight engagement with civil society report
5th rowWriting policy reports

Common Values

ValueCountFrequency (%)
Primarily our work has been concerned with biometrics and facial recognition - developing understanding on public attitudes and legal regulation.1
 
2.6%
Submissions to EU (and to a lesser extent national/EU MSs) bodies, esp. the EP (LIBE Ctee)1
 
2.6%
Lobbying parliament for and during legal reforms, including drafting amendments1
 
2.6%
Oversight engagement with civil society report1
 
2.6%
Writing policy reports1
 
2.6%
Research 1
 
2.6%
Research reports on regulation of algorithmic tools by police/intelligence agencies1
 
2.6%
Lobbygespräche1
 
2.6%
Angewandte Forschung1
 
2.6%
Lobby-Gespräche1
 
2.6%
Other values (2)2
 
5.3%
(Missing)26
68.4%

CSadvocact1[2]
Categorical

MISSING

Distinct10
Distinct (%)100.0%
Missing28
Missing (%)73.7%
Memory size432.0 B
We have also done some engagement with intelligence agencies on ethical codes and frameworks.
1 
Academic and semi-academic studies, reports, papers and blogs
1 
Engagement with oversight bodies throug workshops
1 
about:intel editorial team
1 
Research on biometrics regulation
1 
Other values (5)
5 

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st rowWe have also done some engagement with intelligence agencies on ethical codes and frameworks.
2nd rowAcademic and semi-academic studies, reports, papers and blogs
3rd rowEngagement with oversight bodies throug workshops
4th rowabout:intel editorial team
5th rowResearch on biometrics regulation

Common Values

ValueCountFrequency (%)
We have also done some engagement with intelligence agencies on ethical codes and frameworks.1
 
2.6%
Academic and semi-academic studies, reports, papers and blogs1
 
2.6%
Engagement with oversight bodies throug workshops1
 
2.6%
about:intel editorial team1
 
2.6%
Research on biometrics regulation1
 
2.6%
contributing to research on algorithmic bias1
 
2.6%
Briefings für pol. Entscheidungsträger_innen1
 
2.6%
Gespräche mit Entscheider:innen1
 
2.6%
Briefings und Stellungnahmen1
 
2.6%
Pressearbeit (PM, Statements)1
 
2.6%
(Missing)28
73.7%

Pie chart

2021-07-28T10:40:57.139048image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact1[3]
Categorical

MISSING

Distinct7
Distinct (%)100.0%
Missing31
Missing (%)81.6%
Memory size432.0 B
Engagement with intelligence agencies in meetings and seminars
1 
artificial intelligence and national security research
1 
internal governance and oversight of development and deployment of algorithmic surveillance tools
1 
Öffentliche Stellungnahmen
1 
Medienarbeit
1 
Other values (2)
2 

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st rowEngagement with intelligence agencies in meetings and seminars
2nd rowartificial intelligence and national security research
3rd rowinternal governance and oversight of development and deployment of algorithmic surveillance tools
4th rowÖffentliche Stellungnahmen
5th rowMedienarbeit

Common Values

ValueCountFrequency (%)
Engagement with intelligence agencies in meetings and seminars1
 
2.6%
artificial intelligence and national security research1
 
2.6%
internal governance and oversight of development and deployment of algorithmic surveillance tools1
 
2.6%
Öffentliche Stellungnahmen1
 
2.6%
Medienarbeit1
 
2.6%
Übergabe von Petitionen1
 
2.6%
Sachverständigenanhörungen1
 
2.6%
(Missing)31
81.6%

Pie chart

2021-07-28T10:40:57.399158image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact1[4]
Categorical

MISSING

Distinct6
Distinct (%)100.0%
Missing32
Missing (%)84.2%
Memory size432.0 B
Responding to consultations, including codes of practice
1 
discrimination and surveillance report
1 
building a data ethics framework for law enforcement
1 
Übergabe von Petitionen verbunden mit Gesprächen
1 
Sachverständigenarbeit
1 

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st rowResponding to consultations, including codes of practice
2nd rowdiscrimination and surveillance report
3rd rowbuilding a data ethics framework for law enforcement
4th rowÜbergabe von Petitionen verbunden mit Gesprächen
5th rowSachverständigenarbeit

Common Values

ValueCountFrequency (%)
Responding to consultations, including codes of practice1
 
2.6%
discrimination and surveillance report1
 
2.6%
building a data ethics framework for law enforcement1
 
2.6%
Übergabe von Petitionen verbunden mit Gesprächen1
 
2.6%
Sachverständigenarbeit1
 
2.6%
Organisation von lobbyrelevanten Veranstaltungen1
 
2.6%
(Missing)32
84.2%

Pie chart

2021-07-28T10:40:57.626570image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact1[5]
Categorical

MISSING

Distinct2
Distinct (%)100.0%
Missing36
Missing (%)94.7%
Memory size432.0 B
Writing blogs
1 
encouraging greater transparency and independent oversight as a way of demonstrating legitimacy
1 

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowWriting blogs
2nd rowencouraging greater transparency and independent oversight as a way of demonstrating legitimacy

Common Values

ValueCountFrequency (%)
Writing blogs1
 
2.6%
encouraging greater transparency and independent oversight as a way of demonstrating legitimacy1
 
2.6%
(Missing)36
94.7%

Pie chart

2021-07-28T10:40:57.982990image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact1[6]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size432.0 B
Organising public events with agencies and tech businesses
1 

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowOrganising public events with agencies and tech businesses

Common Values

ValueCountFrequency (%)
Organising public events with agencies and tech businesses1
 
2.6%
(Missing)37
97.4%

Pie chart

2021-07-28T10:40:58.155379image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact1[7]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size432.0 B
Organising closed discussions between agencies and civil society groups
1 

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowOrganising closed discussions between agencies and civil society groups

Common Values

ValueCountFrequency (%)
Organising closed discussions between agencies and civil society groups1
 
2.6%
(Missing)37
97.4%

Pie chart

2021-07-28T10:40:58.327460image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact1[8]
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing38
Missing (%)100.0%
Memory size432.0 B

CSadvocact2[research]
Categorical

MISSING

Distinct3
Distinct (%)23.1%
Missing25
Missing (%)65.8%
Memory size432.0 B
Very important
8 
Important
4 
Somewhat important
1 

Unique

Unique1 ?
Unique (%)7.7%

Sample

1st rowVery important
2nd rowVery important
3rd rowImportant
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important8
 
21.1%
Important4
 
10.5%
Somewhat important1
 
2.6%
(Missing)25
65.8%

Pie chart

2021-07-28T10:40:58.524369image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact2[consultations]
Categorical

MISSING

Distinct3
Distinct (%)23.1%
Missing25
Missing (%)65.8%
Memory size432.0 B
Very important
5 
Somewhat important
4 
Important
4 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSomewhat important
2nd rowImportant
3rd rowVery important
4th rowVery important
5th rowSomewhat important

Common Values

ValueCountFrequency (%)
Very important5
 
13.2%
Somewhat important4
 
10.5%
Important4
 
10.5%
(Missing)25
65.8%

Pie chart

2021-07-28T10:40:58.734175image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact2[briefings]
Categorical

MISSING

Distinct4
Distinct (%)30.8%
Missing25
Missing (%)65.8%
Memory size432.0 B
Very important
6 
Important
4 
Slightly important
2 
Somewhat important
1 

Unique

Unique1 ?
Unique (%)7.7%

Sample

1st rowImportant
2nd rowImportant
3rd rowVery important
4th rowImportant
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important6
 
15.8%
Important4
 
10.5%
Slightly important2
 
5.3%
Somewhat important1
 
2.6%
(Missing)25
65.8%

Pie chart

2021-07-28T10:40:58.914104image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact2[expert_events]
Categorical

MISSING

Distinct3
Distinct (%)23.1%
Missing25
Missing (%)65.8%
Memory size432.0 B
Very important
5 
Somewhat important
4 
Important
4 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVery important
2nd rowSomewhat important
3rd rowImportant
4th rowSomewhat important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important5
 
13.2%
Somewhat important4
 
10.5%
Important4
 
10.5%
(Missing)25
65.8%

Pie chart

2021-07-28T10:40:59.101106image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact2[participation_in_fora]
Categorical

MISSING

Distinct5
Distinct (%)38.5%
Missing25
Missing (%)65.8%
Memory size432.0 B
Not important at all
4 
Important
4 
Somewhat important
3 
Slightly important
1 
Very important
1 

Unique

Unique2 ?
Unique (%)15.4%

Sample

1st rowNot important at all
2nd rowSomewhat important
3rd rowSlightly important
4th rowSomewhat important
5th rowImportant

Common Values

ValueCountFrequency (%)
Not important at all4
 
10.5%
Important4
 
10.5%
Somewhat important3
 
7.9%
Slightly important1
 
2.6%
Very important1
 
2.6%
(Missing)25
65.8%

Pie chart

2021-07-28T10:40:59.279353image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact2[legal_opinions]
Categorical

MISSING

Distinct7
Distinct (%)53.8%
Missing25
Missing (%)65.8%
Memory size432.0 B
Not important at all
3 
Slightly important
3 
Important
2 
Somewhat important
2 
I don't know
1 
Other values (2)
2 

Unique

Unique3 ?
Unique (%)23.1%

Sample

1st rowNot important at all
2nd rowImportant
3rd rowNot important at all
4th rowImportant
5th rowNot important at all

Common Values

ValueCountFrequency (%)
Not important at all3
 
7.9%
Slightly important3
 
7.9%
Important2
 
5.3%
Somewhat important2
 
5.3%
I don't know1
 
2.6%
I prefer not to say1
 
2.6%
Very important1
 
2.6%
(Missing)25
65.8%

Pie chart

2021-07-28T10:40:59.486144image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact2[informal_encounters]
Categorical

MISSING

Distinct4
Distinct (%)30.8%
Missing25
Missing (%)65.8%
Memory size432.0 B
Important
6 
Slightly important
3 
Somewhat important
3 
Not important at all
1 

Unique

Unique1 ?
Unique (%)7.7%

Sample

1st rowNot important at all
2nd rowImportant
3rd rowSlightly important
4th rowImportant
5th rowImportant

Common Values

ValueCountFrequency (%)
Important6
 
15.8%
Slightly important3
 
7.9%
Somewhat important3
 
7.9%
Not important at all1
 
2.6%
(Missing)25
65.8%

Pie chart

2021-07-28T10:40:59.697631image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact2[other]
Categorical

MISSING

Distinct4
Distinct (%)80.0%
Missing33
Missing (%)86.8%
Memory size432.0 B
I don't know
2 
Not important at all
1 
Somewhat important
1 
I prefer not to say
1 

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st rowI don't know
2nd rowNot important at all
3rd rowI don't know
4th rowSomewhat important
5th rowI prefer not to say

Common Values

ValueCountFrequency (%)
I don't know2
 
5.3%
Not important at all1
 
2.6%
Somewhat important1
 
2.6%
I prefer not to say1
 
2.6%
(Missing)33
86.8%

Pie chart

2021-07-28T10:40:59.864567image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocact2other
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size432.0 B
Obwohl es hier um Lobbyarbeit geht: Kamagnenelemente helfen, durch öfftl. Druck Lobbyarbeit zu verstärken und z.B. zu Gesprächen eingeladen zu werden. Leider ist Mobilisierung zu ND-Themen schwierig.
1 

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowObwohl es hier um Lobbyarbeit geht: Kamagnenelemente helfen, durch öfftl. Druck Lobbyarbeit zu verstärken und z.B. zu Gesprächen eingeladen zu werden. Leider ist Mobilisierung zu ND-Themen schwierig.

Common Values

ValueCountFrequency (%)
Obwohl es hier um Lobbyarbeit geht: Kamagnenelemente helfen, durch öfftl. Druck Lobbyarbeit zu verstärken und z.B. zu Gesprächen eingeladen zu werden. Leider ist Mobilisierung zu ND-Themen schwierig.1
 
2.6%
(Missing)37
97.4%

Pie chart

2021-07-28T10:41:00.014775image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvoctrans1
Categorical

MISSING

Distinct4
Distinct (%)30.8%
Missing25
Missing (%)65.8%
Memory size432.0 B
Rarely (25% of the time)
5 
Sometimes (50% of the time)
4 
Often (75% of the time)
3 
Always
1 

Unique

Unique1 ?
Unique (%)7.7%

Sample

1st rowRarely (25% of the time)
2nd rowAlways
3rd rowSometimes (50% of the time)
4th rowOften (75% of the time)
5th rowRarely (25% of the time)

Common Values

ValueCountFrequency (%)
Rarely (25% of the time)5
 
13.2%
Sometimes (50% of the time)4
 
10.5%
Often (75% of the time)3
 
7.9%
Always1
 
2.6%
(Missing)25
65.8%

Pie chart

2021-07-28T10:41:00.216592image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvoctrans2
Categorical

MISSING

Distinct4
Distinct (%)30.8%
Missing25
Missing (%)65.8%
Memory size432.0 B
Often (75% of the time)
6 
Rarely (25% of the time)
4 
Sometimes (50% of the time)
2 
Always
1 

Unique

Unique1 ?
Unique (%)7.7%

Sample

1st rowOften (75% of the time)
2nd rowAlways
3rd rowRarely (25% of the time)
4th rowOften (75% of the time)
5th rowOften (75% of the time)

Common Values

ValueCountFrequency (%)
Often (75% of the time)6
 
15.8%
Rarely (25% of the time)4
 
10.5%
Sometimes (50% of the time)2
 
5.3%
Always1
 
2.6%
(Missing)25
65.8%

Pie chart

2021-07-28T10:41:00.548282image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocimpact1[increased_awareness]
Categorical

MISSING

Distinct4
Distinct (%)30.8%
Missing25
Missing (%)65.8%
Memory size432.0 B
Agree somewhat
5 
Agree to a great extent
3 
Agree completely
3 
Agree sligthly
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree somewhat
2nd rowAgree to a great extent
3rd rowAgree somewhat
4th rowAgree somewhat
5th rowAgree sligthly

Common Values

ValueCountFrequency (%)
Agree somewhat5
 
13.2%
Agree to a great extent3
 
7.9%
Agree completely3
 
7.9%
Agree sligthly2
 
5.3%
(Missing)25
65.8%

Pie chart

2021-07-28T10:41:00.747754image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocimpact1[policies_reflect_recommendations]
Categorical

MISSING

Distinct5
Distinct (%)38.5%
Missing25
Missing (%)65.8%
Memory size432.0 B
Agree sligthly
7 
Agree somewhat
2 
Not agree at all
2 
Agree to a great extent
1 
Agree completely
1 

Unique

Unique2 ?
Unique (%)15.4%

Sample

1st rowAgree somewhat
2nd rowAgree to a great extent
3rd rowAgree sligthly
4th rowAgree sligthly
5th rowAgree sligthly

Common Values

ValueCountFrequency (%)
Agree sligthly7
 
18.4%
Agree somewhat2
 
5.3%
Not agree at all2
 
5.3%
Agree to a great extent1
 
2.6%
Agree completely1
 
2.6%
(Missing)25
65.8%

Pie chart

2021-07-28T10:41:00.937198image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocimpact1[more_informed_debates]
Categorical

MISSING

Distinct4
Distinct (%)30.8%
Missing25
Missing (%)65.8%
Memory size432.0 B
Agree somewhat
5 
Agree to a great extent
3 
Agree sligthly
3 
Agree completely
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree somewhat
2nd rowAgree to a great extent
3rd rowAgree to a great extent
4th rowAgree somewhat
5th rowAgree sligthly

Common Values

ValueCountFrequency (%)
Agree somewhat5
 
13.2%
Agree to a great extent3
 
7.9%
Agree sligthly3
 
7.9%
Agree completely2
 
5.3%
(Missing)25
65.8%

Pie chart

2021-07-28T10:41:01.130587image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocimpact1[achieved_goals]
Categorical

MISSING

Distinct4
Distinct (%)30.8%
Missing25
Missing (%)65.8%
Memory size432.0 B
Agree sligthly
9 
Not agree at all
2 
Agree somewhat
1 
Agree completely
1 

Unique

Unique2 ?
Unique (%)15.4%

Sample

1st rowAgree somewhat
2nd rowAgree sligthly
3rd rowAgree sligthly
4th rowNot agree at all
5th rowAgree sligthly

Common Values

ValueCountFrequency (%)
Agree sligthly9
 
23.7%
Not agree at all2
 
5.3%
Agree somewhat1
 
2.6%
Agree completely1
 
2.6%
(Missing)25
65.8%

Pie chart

2021-07-28T10:41:01.329359image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSadvocimpact2
Categorical

MISSING

Distinct5
Distinct (%)100.0%
Missing33
Missing (%)86.8%
Memory size432.0 B
We were approached by someone high up in government national security to discuss ethical issues around certain surveillance techniques.
1 
One very recent example: In the autumn of last year (2020), Prof. Ian Brown and I (Douwe Korff) submitted two extensive papers on the inadequacy of UK data protection law, in particular in relation to access to data by the UK intelligence services, to EU bodies involved in assessing the adequacy of UK data protection law after Brexit. Our very critical comments were very clearly reflected (at times verbatim) in the EP LIBE Ctee draft resolution on the issue (to go to the EP plenary in May) and in the EDPB's opinion on UK adequacy (issued earlier this month [April] 2021).
1 
Many references to our work and personal feedback.
1 
Successful court victories. Encouragement from current and former national security officials.
1 
independent reports are now frequently cited in official reports and policy papers.
1 

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowWe were approached by someone high up in government national security to discuss ethical issues around certain surveillance techniques.
2nd rowOne very recent example: In the autumn of last year (2020), Prof. Ian Brown and I (Douwe Korff) submitted two extensive papers on the inadequacy of UK data protection law, in particular in relation to access to data by the UK intelligence services, to EU bodies involved in assessing the adequacy of UK data protection law after Brexit. Our very critical comments were very clearly reflected (at times verbatim) in the EP LIBE Ctee draft resolution on the issue (to go to the EP plenary in May) and in the EDPB's opinion on UK adequacy (issued earlier this month [April] 2021).
3rd rowMany references to our work and personal feedback.
4th rowSuccessful court victories. Encouragement from current and former national security officials.
5th rowindependent reports are now frequently cited in official reports and policy papers.

Common Values

ValueCountFrequency (%)
We were approached by someone high up in government national security to discuss ethical issues around certain surveillance techniques.1
 
2.6%
One very recent example: In the autumn of last year (2020), Prof. Ian Brown and I (Douwe Korff) submitted two extensive papers on the inadequacy of UK data protection law, in particular in relation to access to data by the UK intelligence services, to EU bodies involved in assessing the adequacy of UK data protection law after Brexit. Our very critical comments were very clearly reflected (at times verbatim) in the EP LIBE Ctee draft resolution on the issue (to go to the EP plenary in May) and in the EDPB's opinion on UK adequacy (issued earlier this month [April] 2021). 1
 
2.6%
Many references to our work and personal feedback. 1
 
2.6%
Successful court victories. Encouragement from current and former national security officials. 1
 
2.6%
independent reports are now frequently cited in official reports and policy papers. 1
 
2.6%
(Missing)33
86.8%

Pie chart

2021-07-28T10:41:01.494509image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateact1[1]
Categorical

MISSING

Distinct8
Distinct (%)100.0%
Missing30
Missing (%)78.9%
Memory size432.0 B
10 Human Rights Organisations v. U.K. (ECHR)
1 
Reporter ohne Grenzen ./. BND
1 
Beschwerdeführende Organisation im erfolgreich abgeschlossenen BVErfG-Verfahren gegen das BND-Gesetz
1 
Verfassungsbeschwerde gegen BND-Gesetz
1 
https://fragdenstaat.de/blog/tag/bnd/
1 
Other values (3)
3 

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row10 Human Rights Organisations v. U.K. (ECHR)
2nd rowReporter ohne Grenzen ./. BND
3rd rowBeschwerdeführende Organisation im erfolgreich abgeschlossenen BVErfG-Verfahren gegen das BND-Gesetz
4th rowVerfassungsbeschwerde gegen BND-Gesetz
5th rowhttps://fragdenstaat.de/blog/tag/bnd/

Common Values

ValueCountFrequency (%)
10 Human Rights Organisations v. U.K. (ECHR)1
 
2.6%
Reporter ohne Grenzen ./. BND1
 
2.6%
Beschwerdeführende Organisation im erfolgreich abgeschlossenen BVErfG-Verfahren gegen das BND-Gesetz1
 
2.6%
Verfassungsbeschwerde gegen BND-Gesetz1
 
2.6%
https://fragdenstaat.de/blog/tag/bnd/1
 
2.6%
VerAS-Urteil Bundesverwaltungsgericht Leipzig1
 
2.6%
Verfassungsbeschwerde BND-G1
 
2.6%
Contentieu constitutionnel sur l'article L. 811-5 du code de la sécurité intérieur1
 
2.6%
(Missing)30
78.9%

Pie chart

2021-07-28T10:41:01.757364image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateact1[2]
Categorical

MISSING

Distinct7
Distinct (%)100.0%
Missing31
Missing (%)81.6%
Memory size432.0 B
Bulk Personal Datasets & Bulk Communications Data (UK)
1 
Beschwerdeführende Organisation im erfolgreich abgeschlossenen Bundesverwaltungsgerichtsverfahren gegen die Veras-Datenbank
1 
Verfassungsbeschwerde gegen das bayerische Verfassungsschutzgesetz
1 
https://fragdenstaat.de/blog/tag/verfassungsschutz/
1 
Verfassungsbeschwerde gegen Teil-Niederlage bei VerAS-Urteil
1 
Other values (2)
2 

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st rowBulk Personal Datasets & Bulk Communications Data (UK)
2nd rowBeschwerdeführende Organisation im erfolgreich abgeschlossenen Bundesverwaltungsgerichtsverfahren gegen die Veras-Datenbank
3rd rowVerfassungsbeschwerde gegen das bayerische Verfassungsschutzgesetz
4th rowhttps://fragdenstaat.de/blog/tag/verfassungsschutz/
5th rowVerfassungsbeschwerde gegen Teil-Niederlage bei VerAS-Urteil

Common Values

ValueCountFrequency (%)
Bulk Personal Datasets & Bulk Communications Data (UK)1
 
2.6%
Beschwerdeführende Organisation im erfolgreich abgeschlossenen Bundesverwaltungsgerichtsverfahren gegen die Veras-Datenbank1
 
2.6%
Verfassungsbeschwerde gegen das bayerische Verfassungsschutzgesetz1
 
2.6%
https://fragdenstaat.de/blog/tag/verfassungsschutz/1
 
2.6%
Verfassungsbeschwerde gegen Teil-Niederlage bei VerAS-Urteil1
 
2.6%
Verfassungsbeschwerde Trojaner-Einsatz durch Verfassungsschutz und Predicitive-Policing-Befugnisse der Polizei in Hamburg1
 
2.6%
Contentieu administratif et européen sur la conservation généralisée des données1
 
2.6%
(Missing)31
81.6%

Pie chart

2021-07-28T10:41:01.985840image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateact1[3]
Categorical

MISSING

Distinct5
Distinct (%)100.0%
Missing33
Missing (%)86.8%
Memory size432.0 B
PRIVACY INTERNATIONAL and Others against the United Kingdom (ECHR, Application no. 46259/16)
1 
Beschwerdeführende Organisation im laufenden EGMR-Verfahren gegen die BND-Überwachung der Inland-Inland-Kommunikatin
1 
Verfassungsbeschwerde gegen das Hamburgische Verfassungsschutzgesetz
1 
EGMR-Beschwerde gegen Niederlage bei VB zu Teil-Niederlage bei VerAS-Urteil
1 
Contentieu administratif sur les décrets d'application de la loi renseignement
1 

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowPRIVACY INTERNATIONAL and Others against the United Kingdom (ECHR, Application no. 46259/16)
2nd rowBeschwerdeführende Organisation im laufenden EGMR-Verfahren gegen die BND-Überwachung der Inland-Inland-Kommunikatin
3rd rowVerfassungsbeschwerde gegen das Hamburgische Verfassungsschutzgesetz
4th rowEGMR-Beschwerde gegen Niederlage bei VB zu Teil-Niederlage bei VerAS-Urteil
5th rowContentieu administratif sur les décrets d'application de la loi renseignement

Common Values

ValueCountFrequency (%)
PRIVACY INTERNATIONAL and Others against the United Kingdom (ECHR, Application no. 46259/16)1
 
2.6%
Beschwerdeführende Organisation im laufenden EGMR-Verfahren gegen die BND-Überwachung der Inland-Inland-Kommunikatin1
 
2.6%
Verfassungsbeschwerde gegen das Hamburgische Verfassungsschutzgesetz1
 
2.6%
EGMR-Beschwerde gegen Niederlage bei VB zu Teil-Niederlage bei VerAS-Urteil1
 
2.6%
Contentieu administratif sur les décrets d'application de la loi renseignement1
 
2.6%
(Missing)33
86.8%

Pie chart

2021-07-28T10:41:02.220495image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateact1[4]
Categorical

MISSING

Distinct4
Distinct (%)100.0%
Missing34
Missing (%)89.5%
Memory size432.0 B
Privacy International v. U.K. (CJEU, C-623/17)
1 
Amicus Curiae in laufendem türkischem Strafverfahren gegen Inlandsgeheimdienatüberwachung
1 
Auskunftsklage gegen Hamburgischen Verfassungsschutz
1 
VB gegen BND-Gesetz in Karlsruhe
1 

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st rowPrivacy International v. U.K. (CJEU, C-623/17)
2nd rowAmicus Curiae in laufendem türkischem Strafverfahren gegen Inlandsgeheimdienatüberwachung
3rd rowAuskunftsklage gegen Hamburgischen Verfassungsschutz
4th rowVB gegen BND-Gesetz in Karlsruhe

Common Values

ValueCountFrequency (%)
Privacy International v. U.K. (CJEU, C-623/17)1
 
2.6%
Amicus Curiae in laufendem türkischem Strafverfahren gegen Inlandsgeheimdienatüberwachung1
 
2.6%
Auskunftsklage gegen Hamburgischen Verfassungsschutz1
 
2.6%
VB gegen BND-Gesetz in Karlsruhe1
 
2.6%
(Missing)34
89.5%

Pie chart

2021-07-28T10:41:02.440742image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateact1[5]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size432.0 B
Initiierung einer erfolgreich abgeschlossenen US-Zivilklage gegen syrischen Geheimdienst bzw. dessen Überwachung und gezielte Tötung ausländischer Journalist*innen
1 

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowInitiierung einer erfolgreich abgeschlossenen US-Zivilklage gegen syrischen Geheimdienst bzw. dessen Überwachung und gezielte Tötung ausländischer Journalist*innen

Common Values

ValueCountFrequency (%)
Initiierung einer erfolgreich abgeschlossenen US-Zivilklage gegen syrischen Geheimdienst bzw. dessen Überwachung und gezielte Tötung ausländischer Journalist*innen1
 
2.6%
(Missing)37
97.4%

Pie chart

2021-07-28T10:41:02.617853image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateact1[6]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size432.0 B
Strafanzeige in Deutschland gegen Vertreter des saudi-arabischen Geheimdiensts wegen gezielter Überwachung von Journalist*innen
1 

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowStrafanzeige in Deutschland gegen Vertreter des saudi-arabischen Geheimdiensts wegen gezielter Überwachung von Journalist*innen

Common Values

ValueCountFrequency (%)
Strafanzeige in Deutschland gegen Vertreter des saudi-arabischen Geheimdiensts wegen gezielter Überwachung von Journalist*innen1
 
2.6%
(Missing)37
97.4%

Pie chart

2021-07-28T10:41:02.772225image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateact1[7]
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing38
Missing (%)100.0%
Memory size432.0 B

CSlitigateact1[8]
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing38
Missing (%)100.0%
Memory size432.0 B

CSlitigateact2[initiating_lawsuit]
Categorical

MISSING

Distinct3
Distinct (%)33.3%
Missing29
Missing (%)76.3%
Memory size432.0 B
Very important
6 
Important
2 
Somewhat important
1 

Unique

Unique1 ?
Unique (%)11.1%

Sample

1st rowVery important
2nd rowImportant
3rd rowVery important
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important6
 
15.8%
Important2
 
5.3%
Somewhat important1
 
2.6%
(Missing)29
76.3%

Pie chart

2021-07-28T10:41:03.098846image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateact2[initiating_complaint]
Categorical

MISSING

Distinct5
Distinct (%)55.6%
Missing29
Missing (%)76.3%
Memory size432.0 B
Important
3 
Very important
2 
Slightly important
2 
I prefer not to say
1 
Somewhat important
1 

Unique

Unique2 ?
Unique (%)22.2%

Sample

1st rowVery important
2nd rowImportant
3rd rowImportant
4th rowVery important
5th rowI prefer not to say

Common Values

ValueCountFrequency (%)
Important3
 
7.9%
Very important2
 
5.3%
Slightly important2
 
5.3%
I prefer not to say1
 
2.6%
Somewhat important1
 
2.6%
(Missing)29
76.3%

Pie chart

2021-07-28T10:41:03.292381image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateact2[supporting_existing_legislation]
Categorical

MISSING

Distinct5
Distinct (%)55.6%
Missing29
Missing (%)76.3%
Memory size432.0 B
Very important
2 
Important
2 
Somewhat important
2 
Slightly important
2 
I prefer not to say
1 

Unique

Unique1 ?
Unique (%)11.1%

Sample

1st rowVery important
2nd rowImportant
3rd rowImportant
4th rowSomewhat important
5th rowSlightly important

Common Values

ValueCountFrequency (%)
Very important2
 
5.3%
Important2
 
5.3%
Somewhat important2
 
5.3%
Slightly important2
 
5.3%
I prefer not to say1
 
2.6%
(Missing)29
76.3%

Pie chart

2021-07-28T10:41:03.471843image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateact2[other]
Categorical

MISSING

Distinct3
Distinct (%)100.0%
Missing35
Missing (%)92.1%
Memory size432.0 B
I don't know
1 
I prefer not to say
1 
Very important
1 

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowI don't know
2nd rowI prefer not to say
3rd rowVery important

Common Values

ValueCountFrequency (%)
I don't know1
 
2.6%
I prefer not to say1
 
2.6%
Very important1
 
2.6%
(Missing)35
92.1%

Pie chart

2021-07-28T10:41:03.641352image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateact2other
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing37
Missing (%)97.4%
Memory size432.0 B
Finanzierung sicherstellen und Netzwerk aktivieren, um passende Beschwerdeführer:innen zu finden.
1 

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowFinanzierung sicherstellen und Netzwerk aktivieren, um passende Beschwerdeführer:innen zu finden.

Common Values

ValueCountFrequency (%)
Finanzierung sicherstellen und Netzwerk aktivieren, um passende Beschwerdeführer:innen zu finden.1
 
2.6%
(Missing)37
97.4%

Pie chart

2021-07-28T10:41:03.792289image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigatecost1
Categorical

MISSING

Distinct4
Distinct (%)44.4%
Missing29
Missing (%)76.3%
Memory size432.0 B
Never or rarely
6 
I don't know
1 
Sometimes (50% of the time)
1 
Rarely (25% of the time)
1 

Unique

Unique3 ?
Unique (%)33.3%

Sample

1st rowI don't know
2nd rowNever or rarely
3rd rowNever or rarely
4th rowNever or rarely
5th rowNever or rarely

Common Values

ValueCountFrequency (%)
Never or rarely6
 
15.8%
I don't know1
 
2.6%
Sometimes (50% of the time)1
 
2.6%
Rarely (25% of the time)1
 
2.6%
(Missing)29
76.3%

Pie chart

2021-07-28T10:41:03.974266image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigatecost2
Categorical

MISSING

Distinct4
Distinct (%)50.0%
Missing30
Missing (%)78.9%
Memory size432.0 B
Often (75% of the time)
2 
Always or very often
2 
Never or rarely
2 
Sometimes (50% of the time)
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowOften (75% of the time)
2nd rowAlways or very often
3rd rowOften (75% of the time)
4th rowNever or rarely
5th rowSometimes (50% of the time)

Common Values

ValueCountFrequency (%)
Often (75% of the time)2
 
5.3%
Always or very often2
 
5.3%
Never or rarely2
 
5.3%
Sometimes (50% of the time)2
 
5.3%
(Missing)30
78.9%

Pie chart

2021-07-28T10:41:04.149068image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigatecost3
Categorical

MISSING

Distinct3
Distinct (%)33.3%
Missing29
Missing (%)76.3%
Memory size432.0 B
Not risky at all
5 
I don't know
2 
Somewaht risky
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI don't know
2nd rowNot risky at all
3rd rowNot risky at all
4th rowNot risky at all
5th rowNot risky at all

Common Values

ValueCountFrequency (%)
Not risky at all5
 
13.2%
I don't know2
 
5.3%
Somewaht risky2
 
5.3%
(Missing)29
76.3%

Pie chart

2021-07-28T10:41:04.338400image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigatetrans1
Categorical

MISSING

Distinct4
Distinct (%)44.4%
Missing29
Missing (%)76.3%
Memory size432.0 B
Often (75% of the time)
3 
Rarely (25% of the time)
3 
Sometimes (50% of the time)
2 
Always
1 

Unique

Unique1 ?
Unique (%)11.1%

Sample

1st rowOften (75% of the time)
2nd rowRarely (25% of the time)
3rd rowAlways
4th rowOften (75% of the time)
5th rowSometimes (50% of the time)

Common Values

ValueCountFrequency (%)
Often (75% of the time)3
 
7.9%
Rarely (25% of the time)3
 
7.9%
Sometimes (50% of the time)2
 
5.3%
Always1
 
2.6%
(Missing)29
76.3%

Pie chart

2021-07-28T10:41:04.637827image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigatetrans2
Categorical

MISSING

Distinct4
Distinct (%)50.0%
Missing30
Missing (%)78.9%
Memory size432.0 B
Often (75% of the time)
3 
Sometimes (50% of the time)
3 
Rarely (25% of the time)
1 
Never
1 

Unique

Unique2 ?
Unique (%)25.0%

Sample

1st rowOften (75% of the time)
2nd rowOften (75% of the time)
3rd rowOften (75% of the time)
4th rowSometimes (50% of the time)
5th rowSometimes (50% of the time)

Common Values

ValueCountFrequency (%)
Often (75% of the time)3
 
7.9%
Sometimes (50% of the time)3
 
7.9%
Rarely (25% of the time)1
 
2.6%
Never1
 
2.6%
(Missing)30
78.9%

Pie chart

2021-07-28T10:41:04.843217image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateimpact1[increased_awareness]
Categorical

MISSING

Distinct3
Distinct (%)33.3%
Missing29
Missing (%)76.3%
Memory size432.0 B
Agree completely
4 
Agree somewhat
4 
Agree to a great extent
1 

Unique

Unique1 ?
Unique (%)11.1%

Sample

1st rowAgree completely
2nd rowAgree somewhat
3rd rowAgree completely
4th rowAgree somewhat
5th rowAgree somewhat

Common Values

ValueCountFrequency (%)
Agree completely4
 
10.5%
Agree somewhat4
 
10.5%
Agree to a great extent1
 
2.6%
(Missing)29
76.3%

Pie chart

2021-07-28T10:41:05.044739image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateimpact1[changed_the_law]
Categorical

MISSING

Distinct3
Distinct (%)33.3%
Missing29
Missing (%)76.3%
Memory size432.0 B
Agree to a great extent
4 
Agree somewhat
3 
Agree completely
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree completely
2nd rowAgree somewhat
3rd rowAgree to a great extent
4th rowAgree somewhat
5th rowAgree to a great extent

Common Values

ValueCountFrequency (%)
Agree to a great extent4
 
10.5%
Agree somewhat3
 
7.9%
Agree completely2
 
5.3%
(Missing)29
76.3%

Pie chart

2021-07-28T10:41:05.243332image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateimpact1[amendments_of_the_law]
Categorical

MISSING

Distinct3
Distinct (%)33.3%
Missing29
Missing (%)76.3%
Memory size432.0 B
Agree completely
4 
Agree sligthly
3 
Agree to a great extent
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAgree completely
2nd rowAgree sligthly
3rd rowAgree to a great extent
4th rowAgree to a great extent
5th rowAgree completely

Common Values

ValueCountFrequency (%)
Agree completely4
 
10.5%
Agree sligthly3
 
7.9%
Agree to a great extent2
 
5.3%
(Missing)29
76.3%

Pie chart

2021-07-28T10:41:05.435710image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateimpact1[revealed_new_information]
Categorical

MISSING

Distinct5
Distinct (%)55.6%
Missing29
Missing (%)76.3%
Memory size432.0 B
Agree completely
3 
Agree sligthly
2 
Agree to a great extent
2 
Agree somewhat
1 
Not agree at all
1 

Unique

Unique2 ?
Unique (%)22.2%

Sample

1st rowAgree completely
2nd rowAgree sligthly
3rd rowAgree completely
4th rowAgree completely
5th rowAgree to a great extent

Common Values

ValueCountFrequency (%)
Agree completely3
 
7.9%
Agree sligthly2
 
5.3%
Agree to a great extent2
 
5.3%
Agree somewhat1
 
2.6%
Not agree at all1
 
2.6%
(Missing)29
76.3%

Pie chart

2021-07-28T10:41:05.850718image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateimpact1[achieved_goals]
Categorical

MISSING

Distinct4
Distinct (%)44.4%
Missing29
Missing (%)76.3%
Memory size432.0 B
Agree sligthly
3 
Agree somewhat
3 
Agree to a great extent
2 
Agree completely
1 

Unique

Unique1 ?
Unique (%)11.1%

Sample

1st rowAgree to a great extent
2nd rowAgree sligthly
3rd rowAgree completely
4th rowAgree somewhat
5th rowAgree to a great extent

Common Values

ValueCountFrequency (%)
Agree sligthly3
 
7.9%
Agree somewhat3
 
7.9%
Agree to a great extent2
 
5.3%
Agree completely1
 
2.6%
(Missing)29
76.3%

Pie chart

2021-07-28T10:41:06.092048image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSlitigateimpact2
Categorical

MISSING

Distinct5
Distinct (%)100.0%
Missing33
Missing (%)86.8%
Memory size432.0 B
In Folge der BVerfG-Klage gegen BND-Gesetz wurde neues BND-Gesetz verabschiedet. In Folge der Bundesverwaltungagerichtklage gegen die Veras-Datenbank wurde diese Datenbank abgestellt. Im Rahmen der Zivilklage in den USA gegen syrischen Geheimdienst wurde der Geheimdienst zu einer Entschädigungszahlung verurteilt, die allerdings (so lange das Assad-Regime herrscht) wohl nicht gezahlt werden wird.
1 
Neues Gesetz wurde erlassen
1 
https://fragdenstaat.de/blog/2019/05/02/klage-erfolgreich-berliner-verfassungsschutz-muss-auskunft-geben/
1 
Neues BND-Gesetz nach VB-Erfolg in Karlsruhe 2020 (Schaffung Kontrollgremium usw.) Abschaltung VerAS-Datenbank durch re:publica-Aktion "Bitte Nicht Durchleuchten" nach Leipzig-Urteil: https://netzpolitik.org/2018/bitte-nicht-durchleuchten-bnd-stoppt-illegale-speicherung-von-metadaten-in-datei-veras/
1 
Nos recours jouent un rôle dans la meilleure connaissance des juges français du droit européen et international applicable aux activités de surveillance. Ils sont fréquemment cités dans les rapports parlementaires ou les rapports des autorités de contrôle s'intéressant au renseignement, et permettent de faire évoluer le droit applicable dans le sens d'un meilleur encadrement de l'activité des services de renseignement.
1 

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowIn Folge der BVerfG-Klage gegen BND-Gesetz wurde neues BND-Gesetz verabschiedet. In Folge der Bundesverwaltungagerichtklage gegen die Veras-Datenbank wurde diese Datenbank abgestellt. Im Rahmen der Zivilklage in den USA gegen syrischen Geheimdienst wurde der Geheimdienst zu einer Entschädigungszahlung verurteilt, die allerdings (so lange das Assad-Regime herrscht) wohl nicht gezahlt werden wird.
2nd rowNeues Gesetz wurde erlassen
3rd rowhttps://fragdenstaat.de/blog/2019/05/02/klage-erfolgreich-berliner-verfassungsschutz-muss-auskunft-geben/
4th rowNeues BND-Gesetz nach VB-Erfolg in Karlsruhe 2020 (Schaffung Kontrollgremium usw.) Abschaltung VerAS-Datenbank durch re:publica-Aktion "Bitte Nicht Durchleuchten" nach Leipzig-Urteil: https://netzpolitik.org/2018/bitte-nicht-durchleuchten-bnd-stoppt-illegale-speicherung-von-metadaten-in-datei-veras/
5th rowNos recours jouent un rôle dans la meilleure connaissance des juges français du droit européen et international applicable aux activités de surveillance. Ils sont fréquemment cités dans les rapports parlementaires ou les rapports des autorités de contrôle s'intéressant au renseignement, et permettent de faire évoluer le droit applicable dans le sens d'un meilleur encadrement de l'activité des services de renseignement.

Common Values

ValueCountFrequency (%)
In Folge der BVerfG-Klage gegen BND-Gesetz wurde neues BND-Gesetz verabschiedet. In Folge der Bundesverwaltungagerichtklage gegen die Veras-Datenbank wurde diese Datenbank abgestellt. Im Rahmen der Zivilklage in den USA gegen syrischen Geheimdienst wurde der Geheimdienst zu einer Entschädigungszahlung verurteilt, die allerdings (so lange das Assad-Regime herrscht) wohl nicht gezahlt werden wird.1
 
2.6%
Neues Gesetz wurde erlassen1
 
2.6%
https://fragdenstaat.de/blog/2019/05/02/klage-erfolgreich-berliner-verfassungsschutz-muss-auskunft-geben/1
 
2.6%
Neues BND-Gesetz nach VB-Erfolg in Karlsruhe 2020 (Schaffung Kontrollgremium usw.) Abschaltung VerAS-Datenbank durch re:publica-Aktion "Bitte Nicht Durchleuchten" nach Leipzig-Urteil: https://netzpolitik.org/2018/bitte-nicht-durchleuchten-bnd-stoppt-illegale-speicherung-von-metadaten-in-datei-veras/ 1
 
2.6%
Nos recours jouent un rôle dans la meilleure connaissance des juges français du droit européen et international applicable aux activités de surveillance. Ils sont fréquemment cités dans les rapports parlementaires ou les rapports des autorités de contrôle s'intéressant au renseignement, et permettent de faire évoluer le droit applicable dans le sens d'un meilleur encadrement de l'activité des services de renseignement.1
 
2.6%
(Missing)33
86.8%

Pie chart

2021-07-28T10:41:06.310622image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectops1[sectraining]
Categorical

MISSING

Distinct4
Distinct (%)14.8%
Missing11
Missing (%)28.9%
Memory size432.0 B
Very important
14 
Important
11 
Somewhat important
 
1
Slightly important
 
1

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st rowImportant
2nd rowVery important
3rd rowVery important
4th rowImportant
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important14
36.8%
Important11
28.9%
Somewhat important1
 
2.6%
Slightly important1
 
2.6%
(Missing)11
28.9%

Pie chart

2021-07-28T10:41:06.631676image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectops1[e2e]
Categorical

MISSING

Distinct3
Distinct (%)11.1%
Missing11
Missing (%)28.9%
Memory size432.0 B
Very important
25 
Important
 
1
Slightly important
 
1

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st rowImportant
2nd rowVery important
3rd rowVery important
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important25
65.8%
Important1
 
2.6%
Slightly important1
 
2.6%
(Missing)11
28.9%

Pie chart

2021-07-28T10:41:06.817209image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectops2
Categorical

MISSING

Distinct3
Distinct (%)12.0%
Missing13
Missing (%)34.2%
Memory size432.0 B
Yes
13 
No
11 
I don't know
 
1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st rowNo
2nd rowYes
3rd rowNo
4th rowYes
5th rowNo

Common Values

ValueCountFrequency (%)
Yes13
34.2%
No11
28.9%
I don't know1
 
2.6%
(Missing)13
34.2%

Pie chart

2021-07-28T10:41:06.982845image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectops3[encrypted_email]
Categorical

MISSING

Distinct6
Distinct (%)21.4%
Missing10
Missing (%)26.3%
Memory size432.0 B
Very important
10 
Important
5 
Somewhat important
4 
Not important at all
4 
Slightly important
4 

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st rowVery important
2nd rowSomewhat important
3rd rowImportant
4th rowSomewhat important
5th rowNot important at all

Common Values

ValueCountFrequency (%)
Very important10
26.3%
Important5
13.2%
Somewhat important4
 
10.5%
Not important at all4
 
10.5%
Slightly important4
 
10.5%
I prefer not to say1
 
2.6%
(Missing)10
26.3%

Pie chart

2021-07-28T10:41:07.160311image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectops3[vpn]
Categorical

MISSING

Distinct5
Distinct (%)17.9%
Missing10
Missing (%)26.3%
Memory size432.0 B
Slightly important
9 
Very important
8 
Somewhat important
5 
Important
4 
I prefer not to say
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVery important
2nd rowSomewhat important
3rd rowSomewhat important
4th rowSomewhat important
5th rowImportant

Common Values

ValueCountFrequency (%)
Slightly important9
23.7%
Very important8
21.1%
Somewhat important5
13.2%
Important4
 
10.5%
I prefer not to say2
 
5.3%
(Missing)10
26.3%

Pie chart

2021-07-28T10:41:07.436665image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectops3[tor]
Categorical

MISSING

Distinct6
Distinct (%)21.4%
Missing10
Missing (%)26.3%
Memory size432.0 B
Somewhat important
7 
Not important at all
6 
Very important
5 
Slightly important
5 
I prefer not to say
4 

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st rowVery important
2nd rowNot important at all
3rd rowSlightly important
4th rowNot important at all
5th rowNot important at all

Common Values

ValueCountFrequency (%)
Somewhat important7
18.4%
Not important at all6
15.8%
Very important5
13.2%
Slightly important5
13.2%
I prefer not to say4
 
10.5%
I don't know1
 
2.6%
(Missing)10
26.3%

Pie chart

2021-07-28T10:41:07.645779image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectops3[e2e_chat]
Categorical

MISSING

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Memory size432.0 B
Very important
15 
Important
5 
Somewhat important
4 
Slightly important
2 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st rowVery important
2nd rowImportant
3rd rowImportant
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important15
39.5%
Important5
 
13.2%
Somewhat important4
 
10.5%
Slightly important2
 
5.3%
I prefer not to say1
 
2.6%
(Missing)11
28.9%

Pie chart

2021-07-28T10:41:07.882211image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectops3[encrypted_hardware]
Categorical

MISSING

Distinct5
Distinct (%)17.9%
Missing10
Missing (%)26.3%
Memory size432.0 B
Very important
12 
Important
7 
Slightly important
4 
Somewhat important
3 
I prefer not to say
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVery important
2nd rowImportant
3rd rowImportant
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important12
31.6%
Important7
18.4%
Slightly important4
 
10.5%
Somewhat important3
 
7.9%
I prefer not to say2
 
5.3%
(Missing)10
26.3%

Pie chart

2021-07-28T10:41:08.101542image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectops3[2fa]
Categorical

MISSING

Distinct5
Distinct (%)18.5%
Missing11
Missing (%)28.9%
Memory size432.0 B
Very important
12 
Important
9 
Somewhat important
4 
I prefer not to say
 
1
I don't know
 
1

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st rowVery important
2nd rowVery important
3rd rowImportant
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important12
31.6%
Important9
23.7%
Somewhat important4
 
10.5%
I prefer not to say1
 
2.6%
I don't know1
 
2.6%
(Missing)11
28.9%

Pie chart

2021-07-28T10:41:08.342429image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectops3[other]
Categorical

MISSING

Distinct5
Distinct (%)62.5%
Missing30
Missing (%)78.9%
Memory size432.0 B
I prefer not to say
2 
Very important
2 
Not important at all
2 
I don't know
1 
Important
1 

Unique

Unique2 ?
Unique (%)25.0%

Sample

1st rowI don't know
2nd rowI prefer not to say
3rd rowImportant
4th rowI prefer not to say
5th rowVery important

Common Values

ValueCountFrequency (%)
I prefer not to say2
 
5.3%
Very important2
 
5.3%
Not important at all2
 
5.3%
I don't know1
 
2.6%
Important1
 
2.6%
(Missing)30
78.9%

Pie chart

2021-07-28T10:41:08.742095image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectops3other
Categorical

MISSING

Distinct3
Distinct (%)100.0%
Missing35
Missing (%)92.1%
Memory size432.0 B
Updates
1 
Passwortmanager
1 
Eigene Server-Infrastruktur
1 

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowUpdates
2nd rowPasswortmanager
3rd rowEigene Server-Infrastruktur

Common Values

ValueCountFrequency (%)
Updates1
 
2.6%
Passwortmanager1
 
2.6%
Eigene Server-Infrastruktur1
 
2.6%
(Missing)35
92.1%

Pie chart

2021-07-28T10:41:08.957431image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectops4
Categorical

MISSING

Distinct6
Distinct (%)21.4%
Missing10
Missing (%)26.3%
Memory size432.0 B
Technological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguards
21 
I don't know
 
2
Under the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handle
 
2
I prefer not to say
 
1
I have full confidence that the right tools <br>will protect my communication from surveillance
 
1

Unique

Unique3 ?
Unique (%)10.7%

Sample

1st rowI don't know
2nd rowTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguards
3rd rowUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handle
4th rowTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguards
5th rowTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguards

Common Values

ValueCountFrequency (%)
Technological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguards21
55.3%
I don't know2
 
5.3%
Under the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handle2
 
5.3%
I prefer not to say1
 
2.6%
I have full confidence that the right tools <br>will protect my communication from surveillance1
 
2.6%
I have no confidence in the protection offered by <br>technological tools1
 
2.6%
(Missing)10
26.3%

Pie chart

2021-07-28T10:41:09.181950image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectleg1
Categorical

MISSING

Distinct7
Distinct (%)25.9%
Missing11
Missing (%)28.9%
Memory size432.0 B
Sometimes (50% of the time)
8 
Rarely (25% of the time)
5 
Often (75% of the time)
5 
Always
4 
I don't know
2 
Other values (2)
3 

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st rowAlways
2nd rowRarely (25% of the time)
3rd rowI don't know
4th rowSometimes (50% of the time)
5th rowAlways

Common Values

ValueCountFrequency (%)
Sometimes (50% of the time)8
21.1%
Rarely (25% of the time)5
13.2%
Often (75% of the time)5
13.2%
Always4
 
10.5%
I don't know2
 
5.3%
I prefer not to say2
 
5.3%
Never1
 
2.6%
(Missing)11
28.9%

Pie chart

2021-07-28T10:41:09.480323image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectleg2
Categorical

MISSING

Distinct4
Distinct (%)15.4%
Missing12
Missing (%)31.6%
Memory size432.0 B
No
18 
Yes
4 
I don't know
3 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowYes

Common Values

ValueCountFrequency (%)
No18
47.4%
Yes4
 
10.5%
I don't know3
 
7.9%
I prefer not to say1
 
2.6%
(Missing)12
31.6%

Pie chart

2021-07-28T10:41:09.757595image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectleg2no
Categorical

MISSING

Distinct12
Distinct (%)100.0%
Missing26
Missing (%)68.4%
Memory size432.0 B
I assume I am always liable to be intercepted when working on sensitive matters; I do not have great technical know-how or the ability or time to train up on these issues, but I do follow the line when I am told something amounts to a minimum standard I should use. I feel that extreme openness in everything I do amounts to a form of defence, because it is all done as a form of public service, including when criticising malfunctions and/or irregularities and foul play.
1 
I know that British law enables widespread surveillance including of CSOs.
1 
If the intelligence agencies want to, I am sure they can access my data and communications - both legally and illegally. I just shrug that off.
1 
CSOs are not generally covered by protected communicaitons, like journalists or lawyers, or even trade unionists. Most of the work of local CSOs is harmless enough not to require surveillance. International work is different. For example, advocacy work on international trade issues is a legitimate target for US security services tasked by the US Trade Representative (Knowledge Ecology International case). But in most cases the main surveillance risk to my activities comes from governments of less democratic countries where project partners are based.
1 
Due to the secrecy of intelligence work and the catch-all exemptions for 'national security', there will never be meaningful legal protection from surveillance in the UK
1 
Other values (7)
7 

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st rowI assume I am always liable to be intercepted when working on sensitive matters; I do not have great technical know-how or the ability or time to train up on these issues, but I do follow the line when I am told something amounts to a minimum standard I should use. I feel that extreme openness in everything I do amounts to a form of defence, because it is all done as a form of public service, including when criticising malfunctions and/or irregularities and foul play.
2nd rowI know that British law enables widespread surveillance including of CSOs.
3rd rowIf the intelligence agencies want to, I am sure they can access my data and communications - both legally and illegally. I just shrug that off.
4th rowCSOs are not generally covered by protected communicaitons, like journalists or lawyers, or even trade unionists. Most of the work of local CSOs is harmless enough not to require surveillance. International work is different. For example, advocacy work on international trade issues is a legitimate target for US security services tasked by the US Trade Representative (Knowledge Ecology International case). But in most cases the main surveillance risk to my activities comes from governments of less democratic countries where project partners are based.
5th rowDue to the secrecy of intelligence work and the catch-all exemptions for 'national security', there will never be meaningful legal protection from surveillance in the UK

Common Values

ValueCountFrequency (%)
I assume I am always liable to be intercepted when working on sensitive matters; I do not have great technical know-how or the ability or time to train up on these issues, but I do follow the line when I am told something amounts to a minimum standard I should use. I feel that extreme openness in everything I do amounts to a form of defence, because it is all done as a form of public service, including when criticising malfunctions and/or irregularities and foul play.1
 
2.6%
I know that British law enables widespread surveillance including of CSOs.1
 
2.6%
If the intelligence agencies want to, I am sure they can access my data and communications - both legally and illegally. I just shrug that off.1
 
2.6%
CSOs are not generally covered by protected communicaitons, like journalists or lawyers, or even trade unionists. Most of the work of local CSOs is harmless enough not to require surveillance. International work is different. For example, advocacy work on international trade issues is a legitimate target for US security services tasked by the US Trade Representative (Knowledge Ecology International case). But in most cases the main surveillance risk to my activities comes from governments of less democratic countries where project partners are based.1
 
2.6%
Due to the secrecy of intelligence work and the catch-all exemptions for 'national security', there will never be meaningful legal protection from surveillance in the UK1
 
2.6%
Insb. meine internationale Kommunikation mit ausländischen Kolleg_innen kann nach derzeitiger Rechtslage überwacht werden. Gleichzeitig ist meine Orgsanisation technisch nicht auf dem Stand, dass wir diese Kommunikation schützen könnten.1
 
2.6%
Keine ausreichende Kontrolle der Dienste1
 
2.6%
Auskunftsrechte nicht weit genug (z. B. bei BfV)1
 
2.6%
Besonders Schrankenregelungen wie z.B. beim publizistischen Zeugnisverweigerungsrecht (§160a StPO usw.) gibt es für NGOs in Deutschland nicht. Außerdem: Schutzrechte greifen für Journalist:innen und Anwält:innen, aber nicht für Whistleblower (Steigbügelhalter-Theorie), die im ND-Bereich sehr wichtig, weil über offizielle Wege kaum bis keine Infos nach außen dringen. Außerdem großes Problem: Auskunftsrechte existieren (wenn überhaupt) nur auf dem Papier, d.h. es kann i.d.R. kein Rechtsweg beschritten werden, weil die Betroffenen nie erfahren, über Überwachung stattgefunden hat. Zuletzt: Trend bei Kontrolle hin zu außerparlamentarischen Stellvertreter-Kontrollorganen, statt echte Transparenz über ND-Tätigkeit. Ebenfalls schwierig für Rechtsschutz.1
 
2.6%
Je n'ai aucune information permettant de penser que je bénéficierais d'une protection particulière. Mes activités militantes font que je communique ou rencontre fréquemment des personnes dont je sais qu'elles ont, ou font encore, l'objet de mesures de surveillance de la part des services de renseignement.1
 
2.6%
Other values (2)2
 
5.3%
(Missing)26
68.4%

CSprotectleg3[free_counsel]
Categorical

MISSING

Distinct4
Distinct (%)16.7%
Missing14
Missing (%)36.8%
Memory size432.0 B
No
10 
I don't know
7 
Yes
6 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st rowI don't know
2nd rowNo
3rd rowNo
4th rowYes
5th rowNo

Common Values

ValueCountFrequency (%)
No10
26.3%
I don't know7
18.4%
Yes6
15.8%
I prefer not to say1
 
2.6%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:10.115495image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectleg3[cost_insurance]
Categorical

MISSING

Distinct4
Distinct (%)16.7%
Missing14
Missing (%)36.8%
Memory size432.0 B
No
13 
I don't know
7 
Yes
3 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st rowI don't know
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No13
34.2%
I don't know7
18.4%
Yes3
 
7.9%
I prefer not to say1
 
2.6%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:10.319456image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSprotectleg3[other]
Categorical

MISSING

Distinct4
Distinct (%)33.3%
Missing26
Missing (%)68.4%
Memory size432.0 B
I don't know
5 
No
4 
I prefer not to say
2 
Yes
1 

Unique

Unique1 ?
Unique (%)8.3%

Sample

1st rowI don't know
2nd rowNo
3rd rowNo
4th rowI don't know
5th rowI prefer not to say

Common Values

ValueCountFrequency (%)
I don't know5
 
13.2%
No4
 
10.5%
I prefer not to say2
 
5.3%
Yes1
 
2.6%
(Missing)26
68.4%

Pie chart

2021-07-28T10:41:10.542783image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter1
Categorical

MISSING

Distinct5
Distinct (%)20.8%
Missing14
Missing (%)36.8%
Memory size432.0 B
I prefer not to say
8 
Yes, I suspect
8 
No
4 
Yes, I have evidence
3 
I don't know
1 

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st rowI prefer not to say
2nd rowNo
3rd rowI prefer not to say
4th rowNo
5th rowYes, I have evidence

Common Values

ValueCountFrequency (%)
I prefer not to say8
21.1%
Yes, I suspect8
21.1%
No4
 
10.5%
Yes, I have evidence3
 
7.9%
I don't know1
 
2.6%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:10.772020image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter2
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.0%
Missing13
Missing (%)34.2%
Memory size432.0 B
No
25 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No25
65.8%
(Missing)13
34.2%

Pie chart

2021-07-28T10:41:10.975023image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter3
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing38
Missing (%)100.0%
Memory size432.0 B

CSconstraintinter4[police_search]
Categorical

MISSING

Distinct2
Distinct (%)8.0%
Missing13
Missing (%)34.2%
Memory size432.0 B
No
24 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No24
63.2%
I prefer not to say1
 
2.6%
(Missing)13
34.2%

Pie chart

2021-07-28T10:41:11.180851image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter4[seizure]
Categorical

MISSING

Distinct2
Distinct (%)8.0%
Missing13
Missing (%)34.2%
Memory size432.0 B
No
24 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No24
63.2%
I prefer not to say1
 
2.6%
(Missing)13
34.2%

Pie chart

2021-07-28T10:41:11.359862image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter4[extortion]
Categorical

MISSING

Distinct2
Distinct (%)8.7%
Missing15
Missing (%)39.5%
Memory size432.0 B
No
21 
I prefer not to say
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No21
55.3%
I prefer not to say2
 
5.3%
(Missing)15
39.5%

Pie chart

2021-07-28T10:41:11.710053image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter4[violent_threat]
Categorical

MISSING

Distinct2
Distinct (%)8.3%
Missing14
Missing (%)36.8%
Memory size432.0 B
No
22 
I prefer not to say
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No22
57.9%
I prefer not to say2
 
5.3%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:11.904249image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter4[inspection_during_travel]
Categorical

MISSING

Distinct4
Distinct (%)16.0%
Missing13
Missing (%)34.2%
Memory size432.0 B
No
19 
Yes
3 
I don't know
2 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No19
50.0%
Yes3
 
7.9%
I don't know2
 
5.3%
I prefer not to say1
 
2.6%
(Missing)13
34.2%

Pie chart

2021-07-28T10:41:12.092244image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter4[detention]
Categorical

MISSING

Distinct2
Distinct (%)8.0%
Missing13
Missing (%)34.2%
Memory size432.0 B
No
24 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No24
63.2%
I prefer not to say1
 
2.6%
(Missing)13
34.2%

Pie chart

2021-07-28T10:41:12.272149image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter4[surveillance_signalling]
Categorical

MISSING

Distinct4
Distinct (%)16.0%
Missing13
Missing (%)34.2%
Memory size432.0 B
No
16 
I don't know
5 
I prefer not to say
2 
Yes
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No16
42.1%
I don't know5
 
13.2%
I prefer not to say2
 
5.3%
Yes2
 
5.3%
(Missing)13
34.2%

Pie chart

2021-07-28T10:41:12.464054image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter4[online_harassment]
Categorical

MISSING

Distinct4
Distinct (%)16.0%
Missing13
Missing (%)34.2%
Memory size432.0 B
No
20 
I don't know
 
2
Yes
 
2
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No20
52.6%
I don't know2
 
5.3%
Yes2
 
5.3%
I prefer not to say1
 
2.6%
(Missing)13
34.2%

Pie chart

2021-07-28T10:41:12.684695image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter4[entry_on_deny_lists]
Categorical

MISSING

Distinct3
Distinct (%)12.0%
Missing13
Missing (%)34.2%
Memory size432.0 B
No
19 
I don't know
4 
I prefer not to say
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No19
50.0%
I don't know4
 
10.5%
I prefer not to say2
 
5.3%
(Missing)13
34.2%

Pie chart

2021-07-28T10:41:12.895642image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter4[exclusion_from_events]
Categorical

MISSING

Distinct4
Distinct (%)16.0%
Missing13
Missing (%)34.2%
Memory size432.0 B
No
17 
I don't know
5 
Yes
2 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowYes

Common Values

ValueCountFrequency (%)
No17
44.7%
I don't know5
 
13.2%
Yes2
 
5.3%
I prefer not to say1
 
2.6%
(Missing)13
34.2%

Pie chart

2021-07-28T10:41:13.082512image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter4[public_defamation]
Categorical

MISSING

Distinct4
Distinct (%)16.0%
Missing13
Missing (%)34.2%
Memory size432.0 B
No
19 
I don't know
3 
Yes
2 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st rowNo
2nd rowNo
3rd rowI don't know
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No19
50.0%
I don't know3
 
7.9%
Yes2
 
5.3%
I prefer not to say1
 
2.6%
(Missing)13
34.2%

Pie chart

2021-07-28T10:41:13.251227image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter5[unsolicited_information]
Categorical

MISSING

Distinct4
Distinct (%)16.0%
Missing13
Missing (%)34.2%
Memory size432.0 B
No
19 
Yes
3 
I prefer not to say
2 
I don't know
 
1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowYes

Common Values

ValueCountFrequency (%)
No19
50.0%
Yes3
 
7.9%
I prefer not to say2
 
5.3%
I don't know1
 
2.6%
(Missing)13
34.2%

Pie chart

2021-07-28T10:41:13.429487image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter5[invitations]
Categorical

MISSING

Distinct4
Distinct (%)16.0%
Missing13
Missing (%)34.2%
Memory size432.0 B
No
14 
Yes
7 
I prefer not to say
2 
I don't know
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowYes
3rd rowYes
4th rowNo
5th rowYes

Common Values

ValueCountFrequency (%)
No14
36.8%
Yes7
18.4%
I prefer not to say2
 
5.3%
I don't know2
 
5.3%
(Missing)13
34.2%

Pie chart

2021-07-28T10:41:13.606052image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter5[other]
Categorical

MISSING

Distinct3
Distinct (%)21.4%
Missing24
Missing (%)63.2%
Memory size432.0 B
No
10 
I prefer not to say
2 
I don't know
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowI prefer not to say
5th rowNo

Common Values

ValueCountFrequency (%)
No10
26.3%
I prefer not to say2
 
5.3%
I don't know2
 
5.3%
(Missing)24
63.2%

Pie chart

2021-07-28T10:41:13.811792image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter5other
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing38
Missing (%)100.0%
Memory size432.0 B

CSconstraintinter6[gender]
Categorical

MISSING

Distinct2
Distinct (%)8.3%
Missing14
Missing (%)36.8%
Memory size432.0 B
No
23 
Yes
 
1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No23
60.5%
Yes1
 
2.6%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:13.976597image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter6[ethnicity]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.2%
Missing14
Missing (%)36.8%
Memory size432.0 B
No
24 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No24
63.2%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:14.281551image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter6[political]
Categorical

MISSING

Distinct3
Distinct (%)12.5%
Missing14
Missing (%)36.8%
Memory size432.0 B
No
22 
Yes
 
1
I don't know
 
1

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No22
57.9%
Yes1
 
2.6%
I don't know1
 
2.6%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:14.460821image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter6[sexual]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.2%
Missing14
Missing (%)36.8%
Memory size432.0 B
No
24 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No24
63.2%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:14.652092image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter6[religious]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.2%
Missing14
Missing (%)36.8%
Memory size432.0 B
No
24 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No24
63.2%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:14.820317image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter6[other]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)6.2%
Missing22
Missing (%)57.9%
Memory size432.0 B
No
16 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No16
42.1%
(Missing)22
57.9%

Pie chart

2021-07-28T10:41:14.982593image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintinter6other
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing38
Missing (%)100.0%
Memory size432.0 B

CSconstraintself1[avoid]
Categorical

MISSING

Distinct3
Distinct (%)12.5%
Missing14
Missing (%)36.8%
Memory size432.0 B
No
17 
Yes
5 
I don't know
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowYes
4th rowYes
5th rowNo

Common Values

ValueCountFrequency (%)
No17
44.7%
Yes5
 
13.2%
I don't know2
 
5.3%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:15.171880image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintself1[cancelled_campaign]
Categorical

MISSING

Distinct2
Distinct (%)8.3%
Missing14
Missing (%)36.8%
Memory size432.0 B
No
21 
I don't know
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No21
55.3%
I don't know3
 
7.9%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:15.355887image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintself1[withdrew_litigation]
Categorical

MISSING

Distinct3
Distinct (%)12.5%
Missing14
Missing (%)36.8%
Memory size432.0 B
No
20 
Yes
 
2
I don't know
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowYes
5th rowNo

Common Values

ValueCountFrequency (%)
No20
52.6%
Yes2
 
5.3%
I don't know2
 
5.3%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:15.580631image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintself1[leave_profession]
Categorical

MISSING

Distinct3
Distinct (%)12.5%
Missing14
Missing (%)36.8%
Memory size432.0 B
No
18 
Yes
3 
I don't know
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowYes
5th rowNo

Common Values

ValueCountFrequency (%)
No18
47.4%
Yes3
 
7.9%
I don't know3
 
7.9%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:15.780407image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintself1[other]
Categorical

MISSING

Distinct3
Distinct (%)33.3%
Missing29
Missing (%)76.3%
Memory size432.0 B
No
4 
I don't know
3 
Yes
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowI don't know
4th rowNo
5th rowI don't know

Common Values

ValueCountFrequency (%)
No4
 
10.5%
I don't know3
 
7.9%
Yes2
 
5.3%
(Missing)29
76.3%

Pie chart

2021-07-28T10:41:15.958538image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSconstraintself1other
Categorical

MISSING

Distinct2
Distinct (%)100.0%
Missing36
Missing (%)94.7%
Memory size432.0 B
Wir haben die Arbeit an Nachrichtendienst-Themen reduziert, da sie bei der Politik im Wesentlichen "auf taube Ohren" zu stoßen scheint und es schwierig ist, am Ball zu bleiben, wenn man scheinbar keinen Unterschied macht (außer durch Klageführung). Auch Mobilisierung und Fundraising zu dem Themenbereich ist schwierig. Themenbereich zudem rechtlich enorm komplex, schwierig für NGOs, die große Fülle an auch anderen Themen bearbeiten müssen.
1 
Aufgabe von Projekten weniger aus "Angst", als aufgrund von Kosten/Nutzen-Rechnung für Organisationen: Arbeitet kostet viel Geld, dauert lange (wenig passiert), wenig Interesse in der Öffentlichkeit und geringe Erfolgsaussichten. Das macht es für viele Organisationen unattraktiv, da zu investieren.
1 

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowWir haben die Arbeit an Nachrichtendienst-Themen reduziert, da sie bei der Politik im Wesentlichen "auf taube Ohren" zu stoßen scheint und es schwierig ist, am Ball zu bleiben, wenn man scheinbar keinen Unterschied macht (außer durch Klageführung). Auch Mobilisierung und Fundraising zu dem Themenbereich ist schwierig. Themenbereich zudem rechtlich enorm komplex, schwierig für NGOs, die große Fülle an auch anderen Themen bearbeiten müssen.
2nd rowAufgabe von Projekten weniger aus "Angst", als aufgrund von Kosten/Nutzen-Rechnung für Organisationen: Arbeitet kostet viel Geld, dauert lange (wenig passiert), wenig Interesse in der Öffentlichkeit und geringe Erfolgsaussichten. Das macht es für viele Organisationen unattraktiv, da zu investieren.

Common Values

ValueCountFrequency (%)
Wir haben die Arbeit an Nachrichtendienst-Themen reduziert, da sie bei der Politik im Wesentlichen "auf taube Ohren" zu stoßen scheint und es schwierig ist, am Ball zu bleiben, wenn man scheinbar keinen Unterschied macht (außer durch Klageführung). Auch Mobilisierung und Fundraising zu dem Themenbereich ist schwierig. Themenbereich zudem rechtlich enorm komplex, schwierig für NGOs, die große Fülle an auch anderen Themen bearbeiten müssen.1
 
2.6%
Aufgabe von Projekten weniger aus "Angst", als aufgrund von Kosten/Nutzen-Rechnung für Organisationen: Arbeitet kostet viel Geld, dauert lange (wenig passiert), wenig Interesse in der Öffentlichkeit und geringe Erfolgsaussichten. Das macht es für viele Organisationen unattraktiv, da zu investieren.1
 
2.6%
(Missing)36
94.7%

Pie chart

2021-07-28T10:41:16.124802image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude1
Categorical

MISSING

Distinct4
Distinct (%)16.7%
Missing14
Missing (%)36.8%
Memory size432.0 B
Intelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimum
8 
Intelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates
8 
I prefer not to say
4 
Intelligence agencies are incompatible with democratic <br>values and should be abolished
4 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimum
2nd rowIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates
3rd rowIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimum
4th rowIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates
5th rowIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates

Common Values

ValueCountFrequency (%)
Intelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimum8
21.1%
Intelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates8
21.1%
I prefer not to say4
 
10.5%
Intelligence agencies are incompatible with democratic <br>values and should be abolished4
 
10.5%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:16.359038image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude2
Categorical

MISSING

Distinct4
Distinct (%)16.7%
Missing14
Missing (%)36.8%
Memory size432.0 B
Intelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct
14 
Effective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.
7 
Intelligence oversight is mostly effective, however its <br>institutional design needs reform for oversight practitioners to reliably <br>uncover past misconduct and prevent future misconduct
2 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st rowEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.
2nd rowIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct
3rd rowIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct
4th rowIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct
5th rowIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct

Common Values

ValueCountFrequency (%)
Intelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct14
36.8%
Effective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.7
18.4%
Intelligence oversight is mostly effective, however its <br>institutional design needs reform for oversight practitioners to reliably <br>uncover past misconduct and prevent future misconduct2
 
5.3%
I prefer not to say1
 
2.6%
(Missing)14
36.8%

Pie chart

2021-07-28T10:41:16.571431image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude3[rule_of_law]
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
20 
False
18 
ValueCountFrequency (%)
True20
52.6%
False18
47.4%
2021-07-28T10:41:16.670188image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude3[civil_liberties]
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
20 
False
18 
ValueCountFrequency (%)
True20
52.6%
False18
47.4%
2021-07-28T10:41:16.708153image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude3[effectiveness_of_intel]
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
36 
True
 
2
ValueCountFrequency (%)
False36
94.7%
True2
 
5.3%
2021-07-28T10:41:16.751543image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude3[legitimacy_of_intel]
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
32 
True
6 
ValueCountFrequency (%)
False32
84.2%
True6
 
15.8%
2021-07-28T10:41:16.952662image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude3[trust_in_intel]
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
36 
True
 
2
ValueCountFrequency (%)
False36
94.7%
True2
 
5.3%
2021-07-28T10:41:17.000928image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude3[critique_of_intel]
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
23 
True
15 
ValueCountFrequency (%)
False23
60.5%
True15
39.5%
2021-07-28T10:41:17.050373image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude3[prefer_not_to_say]
Boolean

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size166.0 B
False
37 
True
 
1
ValueCountFrequency (%)
False37
97.4%
True1
 
2.6%
2021-07-28T10:41:17.101712image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude4[1]
Categorical

MISSING

Distinct5
Distinct (%)23.8%
Missing17
Missing (%)44.7%
Memory size432.0 B
Civil society organisations
13 
Independent expert bodies
5 
Parliamentary oversight bodies
 
1
Judicial oversight bodies
 
1
Audit courts
 
1

Unique

Unique3 ?
Unique (%)14.3%

Sample

1st rowIndependent expert bodies
2nd rowCivil society organisations
3rd rowParliamentary oversight bodies
4th rowCivil society organisations
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
Civil society organisations13
34.2%
Independent expert bodies5
 
13.2%
Parliamentary oversight bodies1
 
2.6%
Judicial oversight bodies1
 
2.6%
Audit courts1
 
2.6%
(Missing)17
44.7%

Pie chart

2021-07-28T10:41:17.294995image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude4[2]
Categorical

MISSING

Distinct5
Distinct (%)23.8%
Missing17
Missing (%)44.7%
Memory size432.0 B
Judicial oversight bodies
7 
Parliamentary oversight bodies
6 
Independent expert bodies
4 
Civil society organisations
2 
Data protection authorities
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJudicial oversight bodies
2nd rowJudicial oversight bodies
3rd rowJudicial oversight bodies
4th rowParliamentary oversight bodies
5th rowJudicial oversight bodies

Common Values

ValueCountFrequency (%)
Judicial oversight bodies7
18.4%
Parliamentary oversight bodies6
 
15.8%
Independent expert bodies4
 
10.5%
Civil society organisations2
 
5.3%
Data protection authorities2
 
5.3%
(Missing)17
44.7%

Pie chart

2021-07-28T10:41:17.527343image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude4[3]
Categorical

MISSING

Distinct5
Distinct (%)26.3%
Missing19
Missing (%)50.0%
Memory size432.0 B
Parliamentary oversight bodies
5 
Data protection authorities
4 
Independent expert bodies
4 
Civil society organisations
3 
Judicial oversight bodies
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowData protection authorities
2nd rowParliamentary oversight bodies
3rd rowCivil society organisations
4th rowJudicial oversight bodies
5th rowCivil society organisations

Common Values

ValueCountFrequency (%)
Parliamentary oversight bodies5
 
13.2%
Data protection authorities4
 
10.5%
Independent expert bodies4
 
10.5%
Civil society organisations3
 
7.9%
Judicial oversight bodies3
 
7.9%
(Missing)19
50.0%

Pie chart

2021-07-28T10:41:17.761204image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude4[4]
Categorical

MISSING

Distinct6
Distinct (%)37.5%
Missing22
Missing (%)57.9%
Memory size432.0 B
Data protection authorities
7 
Judicial oversight bodies
4 
Independent expert bodies
2 
Civil society organisations
1 
Audit courts
1 

Unique

Unique3 ?
Unique (%)18.8%

Sample

1st rowCivil society organisations
2nd rowData protection authorities
3rd rowData protection authorities
4th rowJudicial oversight bodies
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
Data protection authorities7
 
18.4%
Judicial oversight bodies4
 
10.5%
Independent expert bodies2
 
5.3%
Civil society organisations1
 
2.6%
Audit courts1
 
2.6%
Parliamentary oversight bodies1
 
2.6%
(Missing)22
57.9%

Pie chart

2021-07-28T10:41:17.972212image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude4[5]
Categorical

MISSING

Distinct6
Distinct (%)46.2%
Missing25
Missing (%)65.8%
Memory size432.0 B
Audit courts
3 
Independent expert bodies
3 
Data protection authorities
2 
Parliamentary oversight bodies
2 
Judicial oversight bodies
2 

Unique

Unique1 ?
Unique (%)7.7%

Sample

1st rowAudit courts
2nd rowIndependent expert bodies
3rd rowData protection authorities
4th rowAudit courts
5th rowParliamentary oversight bodies

Common Values

ValueCountFrequency (%)
Audit courts3
 
7.9%
Independent expert bodies3
 
7.9%
Data protection authorities2
 
5.3%
Parliamentary oversight bodies2
 
5.3%
Judicial oversight bodies2
 
5.3%
Civil society organisations1
 
2.6%
(Missing)25
65.8%

Pie chart

2021-07-28T10:41:18.205190image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude4[6]
Categorical

MISSING

Distinct3
Distinct (%)27.3%
Missing27
Missing (%)71.1%
Memory size432.0 B
Audit courts
8 
Parliamentary oversight bodies
2 
Data protection authorities
1 

Unique

Unique1 ?
Unique (%)9.1%

Sample

1st rowParliamentary oversight bodies
2nd rowAudit courts
3rd rowAudit courts
4th rowData protection authorities
5th rowParliamentary oversight bodies

Common Values

ValueCountFrequency (%)
Audit courts8
 
21.1%
Parliamentary oversight bodies2
 
5.3%
Data protection authorities1
 
2.6%
(Missing)27
71.1%

Pie chart

2021-07-28T10:41:18.430549image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude5[1]
Categorical

MISSING

Distinct3
Distinct (%)14.3%
Missing17
Missing (%)44.7%
Memory size432.0 B
Judicial oversight bodies
10 
Civil society organisations
9 
Independent expert bodies
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIndependent expert bodies
2nd rowCivil society organisations
3rd rowCivil society organisations
4th rowCivil society organisations
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
Judicial oversight bodies10
26.3%
Civil society organisations9
23.7%
Independent expert bodies2
 
5.3%
(Missing)17
44.7%

Pie chart

2021-07-28T10:41:18.622274image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude5[2]
Categorical

MISSING

Distinct6
Distinct (%)35.3%
Missing21
Missing (%)55.3%
Memory size432.0 B
Data protection authorities
5 
Parliamentary oversight bodies
4 
Judicial oversight bodies
3 
Independent expert bodies
3 
Civil society organisations
1 

Unique

Unique2 ?
Unique (%)11.8%

Sample

1st rowData protection authorities
2nd rowJudicial oversight bodies
3rd rowJudicial oversight bodies
4th rowData protection authorities
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
Data protection authorities5
 
13.2%
Parliamentary oversight bodies4
 
10.5%
Judicial oversight bodies3
 
7.9%
Independent expert bodies3
 
7.9%
Civil society organisations1
 
2.6%
Audit courts1
 
2.6%
(Missing)21
55.3%

Pie chart

2021-07-28T10:41:18.823016image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude5[3]
Categorical

MISSING

Distinct6
Distinct (%)37.5%
Missing22
Missing (%)57.9%
Memory size432.0 B
Parliamentary oversight bodies
4 
Civil society organisations
3 
Independent expert bodies
3 
Data protection authorities
3 
Audit courts
2 

Unique

Unique1 ?
Unique (%)6.2%

Sample

1st rowCivil society organisations
2nd rowParliamentary oversight bodies
3rd rowIndependent expert bodies
4th rowCivil society organisations
5th rowParliamentary oversight bodies

Common Values

ValueCountFrequency (%)
Parliamentary oversight bodies4
 
10.5%
Civil society organisations3
 
7.9%
Independent expert bodies3
 
7.9%
Data protection authorities3
 
7.9%
Audit courts2
 
5.3%
Judicial oversight bodies1
 
2.6%
(Missing)22
57.9%

Pie chart

2021-07-28T10:41:19.061794image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude5[4]
Categorical

MISSING

Distinct4
Distinct (%)33.3%
Missing26
Missing (%)68.4%
Memory size432.0 B
Data protection authorities
5 
Parliamentary oversight bodies
3 
Judicial oversight bodies
2 
Civil society organisations
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJudicial oversight bodies
2nd rowParliamentary oversight bodies
3rd rowData protection authorities
4th rowJudicial oversight bodies
5th rowData protection authorities

Common Values

ValueCountFrequency (%)
Data protection authorities5
 
13.2%
Parliamentary oversight bodies3
 
7.9%
Judicial oversight bodies2
 
5.3%
Civil society organisations2
 
5.3%
(Missing)26
68.4%

Pie chart

2021-07-28T10:41:19.306873image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude5[5]
Categorical

MISSING

Distinct5
Distinct (%)45.5%
Missing27
Missing (%)71.1%
Memory size432.0 B
Independent expert bodies
4 
Data protection authorities
3 
Audit courts
2 
Parliamentary oversight bodies
1 
Civil society organisations
1 

Unique

Unique2 ?
Unique (%)18.2%

Sample

1st rowParliamentary oversight bodies
2nd rowData protection authorities
3rd rowData protection authorities
4th rowAudit courts
5th rowData protection authorities

Common Values

ValueCountFrequency (%)
Independent expert bodies4
 
10.5%
Data protection authorities3
 
7.9%
Audit courts2
 
5.3%
Parliamentary oversight bodies1
 
2.6%
Civil society organisations1
 
2.6%
(Missing)27
71.1%

Pie chart

2021-07-28T10:41:19.696182image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude5[6]
Categorical

MISSING

Distinct4
Distinct (%)36.4%
Missing27
Missing (%)71.1%
Memory size432.0 B
Audit courts
7 
Parliamentary oversight bodies
2 
Civil society organisations
1 
Independent expert bodies
1 

Unique

Unique2 ?
Unique (%)18.2%

Sample

1st rowAudit courts
2nd rowAudit courts
3rd rowAudit courts
4th rowParliamentary oversight bodies
5th rowAudit courts

Common Values

ValueCountFrequency (%)
Audit courts7
 
18.4%
Parliamentary oversight bodies2
 
5.3%
Civil society organisations1
 
2.6%
Independent expert bodies1
 
2.6%
(Missing)27
71.1%

Pie chart

2021-07-28T10:41:19.926807image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude6[1]
Categorical

MISSING

Distinct5
Distinct (%)25.0%
Missing18
Missing (%)47.4%
Memory size432.0 B
Judicial oversight bodies
11 
Parliamentary oversight bodies
4 
Data protection authorities
2 
Independent expert bodies
2 
Civil society organisations
 
1

Unique

Unique1 ?
Unique (%)5.0%

Sample

1st rowData protection authorities
2nd rowJudicial oversight bodies
3rd rowJudicial oversight bodies
4th rowJudicial oversight bodies
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
Judicial oversight bodies11
28.9%
Parliamentary oversight bodies4
 
10.5%
Data protection authorities2
 
5.3%
Independent expert bodies2
 
5.3%
Civil society organisations1
 
2.6%
(Missing)18
47.4%

Pie chart

2021-07-28T10:41:20.138048image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude6[2]
Categorical

MISSING

Distinct6
Distinct (%)35.3%
Missing21
Missing (%)55.3%
Memory size432.0 B
Judicial oversight bodies
4 
Data protection authorities
4 
Independent expert bodies
3 
Audit courts
3 
Parliamentary oversight bodies
2 

Unique

Unique1 ?
Unique (%)5.9%

Sample

1st rowJudicial oversight bodies
2nd rowParliamentary oversight bodies
3rd rowIndependent expert bodies
4th rowJudicial oversight bodies
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
Judicial oversight bodies4
 
10.5%
Data protection authorities4
 
10.5%
Independent expert bodies3
 
7.9%
Audit courts3
 
7.9%
Parliamentary oversight bodies2
 
5.3%
Civil society organisations1
 
2.6%
(Missing)21
55.3%

Pie chart

2021-07-28T10:41:20.363425image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude6[3]
Categorical

MISSING

Distinct5
Distinct (%)33.3%
Missing23
Missing (%)60.5%
Memory size432.0 B
Data protection authorities
6 
Parliamentary oversight bodies
4 
Civil society organisations
2 
Audit courts
2 
Judicial oversight bodies
1 

Unique

Unique1 ?
Unique (%)6.7%

Sample

1st rowCivil society organisations
2nd rowParliamentary oversight bodies
3rd rowData protection authorities
4th rowData protection authorities
5th rowAudit courts

Common Values

ValueCountFrequency (%)
Data protection authorities6
 
15.8%
Parliamentary oversight bodies4
 
10.5%
Civil society organisations2
 
5.3%
Audit courts2
 
5.3%
Judicial oversight bodies1
 
2.6%
(Missing)23
60.5%

Pie chart

2021-07-28T10:41:20.570641image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude6[4]
Categorical

MISSING

Distinct5
Distinct (%)45.5%
Missing27
Missing (%)71.1%
Memory size432.0 B
Parliamentary oversight bodies
3 
Data protection authorities
3 
Independent expert bodies
3 
Judicial oversight bodies
1 
Audit courts
1 

Unique

Unique2 ?
Unique (%)18.2%

Sample

1st rowParliamentary oversight bodies
2nd rowData protection authorities
3rd rowData protection authorities
4th rowIndependent expert bodies
5th rowData protection authorities

Common Values

ValueCountFrequency (%)
Parliamentary oversight bodies3
 
7.9%
Data protection authorities3
 
7.9%
Independent expert bodies3
 
7.9%
Judicial oversight bodies1
 
2.6%
Audit courts1
 
2.6%
(Missing)27
71.1%

Pie chart

2021-07-28T10:41:20.773070image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude6[5]
Categorical

MISSING

Distinct4
Distinct (%)36.4%
Missing27
Missing (%)71.1%
Memory size432.0 B
Independent expert bodies
4 
Audit courts
3 
Civil society organisations
3 
Parliamentary oversight bodies
1 

Unique

Unique1 ?
Unique (%)9.1%

Sample

1st rowIndependent expert bodies
2nd rowAudit courts
3rd rowCivil society organisations
4th rowParliamentary oversight bodies
5th rowAudit courts

Common Values

ValueCountFrequency (%)
Independent expert bodies4
 
10.5%
Audit courts3
 
7.9%
Civil society organisations3
 
7.9%
Parliamentary oversight bodies1
 
2.6%
(Missing)27
71.1%

Pie chart

2021-07-28T10:41:20.973444image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSattitude6[6]
Categorical

MISSING

Distinct3
Distinct (%)27.3%
Missing27
Missing (%)71.1%
Memory size432.0 B
Civil society organisations
6 
Audit courts
3 
Independent expert bodies
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAudit courts
2nd rowCivil society organisations
3rd rowIndependent expert bodies
4th rowCivil society organisations
5th rowCivil society organisations

Common Values

ValueCountFrequency (%)
Civil society organisations6
 
15.8%
Audit courts3
 
7.9%
Independent expert bodies2
 
5.3%
(Missing)27
71.1%

Pie chart

2021-07-28T10:41:21.159479image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

CSgender
Categorical

MISSING

Distinct3
Distinct (%)13.0%
Missing15
Missing (%)39.5%
Memory size432.0 B
Man
18 
Woman
4 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st rowMan
2nd rowMan
3rd rowMan
4th rowMan
5th rowWoman

Common Values

ValueCountFrequency (%)
Man18
47.4%
Woman4
 
10.5%
I prefer not to say1
 
2.6%
(Missing)15
39.5%

Pie chart

2021-07-28T10:41:21.346063image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

surveytype
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size432.0 B
Civil Society Scrutiny
38 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCivil Society Scrutiny
2nd rowCivil Society Scrutiny
3rd rowCivil Society Scrutiny
4th rowCivil Society Scrutiny
5th rowCivil Society Scrutiny

Common Values

ValueCountFrequency (%)
Civil Society Scrutiny38
100.0%

Pie chart

2021-07-28T10:41:21.485357image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Sample

First rows

countrylastpageCShr1CShr2CSexpertise1CSexpertise2CSexpertise3CSexpertise4CSfinance1CSfinance2[private_foundations]CSfinance2[donations]CSfinance2[national_public_funds]CSfinance2[corporate_sponsorship]CSfinance2[international_public_funds]CSfinance2[other]CSfinance2otherCSfinance3CSfinance4CSfoi1CSfoi2CSfoi3CSfoi4CSfoi5[not_aware]CSfoi5[not_covered]CSfoi5[too_expensive]CSfoi5[too_time_consuming]CSfoi5[afraid_of_data_destruction]CSfoi5[afraid_of_discrimination]CSfoi5[other]CSfoi5[dont_know]CSfoi5[prefer_not_to_say]CSfoi5otherCSpreselectionCScampact1[1]CScampact1[2]CScampact1[3]CScampact1[4]CScampact1[5]CScampact1[6]CScampact1[7]CScampact1[8]CScampact2[media_contributions]CScampact2[own_publications]CScampact2[petitions_open_letters]CScampact2[public_events]CScampact2[collaborations]CScampact2[demonstrations]CScampact2[social_media]CScampact2[advertising]CScampact2[volunteer_activities]CScampact2[providing_technical_tools]CScampact2[support_for_eu_campaigns]CScampact2[other]CScampact2otherCScamptrans1CScamptrans2CScampimpact1[increased_awareness]CScampimpact1[policies_reflect_demands]CScampimpact1[created_media_attention]CScampimpact1[achieved_goals]CScampimpact2CSadvocact1[1]CSadvocact1[2]CSadvocact1[3]CSadvocact1[4]CSadvocact1[5]CSadvocact1[6]CSadvocact1[7]CSadvocact1[8]CSadvocact2[research]CSadvocact2[consultations]CSadvocact2[briefings]CSadvocact2[expert_events]CSadvocact2[participation_in_fora]CSadvocact2[legal_opinions]CSadvocact2[informal_encounters]CSadvocact2[other]CSadvocact2otherCSadvoctrans1CSadvoctrans2CSadvocimpact1[increased_awareness]CSadvocimpact1[policies_reflect_recommendations]CSadvocimpact1[more_informed_debates]CSadvocimpact1[achieved_goals]CSadvocimpact2CSlitigateact1[1]CSlitigateact1[2]CSlitigateact1[3]CSlitigateact1[4]CSlitigateact1[5]CSlitigateact1[6]CSlitigateact1[7]CSlitigateact1[8]CSlitigateact2[initiating_lawsuit]CSlitigateact2[initiating_complaint]CSlitigateact2[supporting_existing_legislation]CSlitigateact2[other]CSlitigateact2otherCSlitigatecost1CSlitigatecost2CSlitigatecost3CSlitigatetrans1CSlitigatetrans2CSlitigateimpact1[increased_awareness]CSlitigateimpact1[changed_the_law]CSlitigateimpact1[amendments_of_the_law]CSlitigateimpact1[revealed_new_information]CSlitigateimpact1[achieved_goals]CSlitigateimpact2CSprotectops1[sectraining]CSprotectops1[e2e]CSprotectops2CSprotectops3[encrypted_email]CSprotectops3[vpn]CSprotectops3[tor]CSprotectops3[e2e_chat]CSprotectops3[encrypted_hardware]CSprotectops3[2fa]CSprotectops3[other]CSprotectops3otherCSprotectops4CSprotectleg1CSprotectleg2CSprotectleg2noCSprotectleg3[free_counsel]CSprotectleg3[cost_insurance]CSprotectleg3[other]CSconstraintinter1CSconstraintinter2CSconstraintinter3CSconstraintinter4[police_search]CSconstraintinter4[seizure]CSconstraintinter4[extortion]CSconstraintinter4[violent_threat]CSconstraintinter4[inspection_during_travel]CSconstraintinter4[detention]CSconstraintinter4[surveillance_signalling]CSconstraintinter4[online_harassment]CSconstraintinter4[entry_on_deny_lists]CSconstraintinter4[exclusion_from_events]CSconstraintinter4[public_defamation]CSconstraintinter5[unsolicited_information]CSconstraintinter5[invitations]CSconstraintinter5[other]CSconstraintinter5otherCSconstraintinter6[gender]CSconstraintinter6[ethnicity]CSconstraintinter6[political]CSconstraintinter6[sexual]CSconstraintinter6[religious]CSconstraintinter6[other]CSconstraintinter6otherCSconstraintself1[avoid]CSconstraintself1[cancelled_campaign]CSconstraintself1[withdrew_litigation]CSconstraintself1[leave_profession]CSconstraintself1[other]CSconstraintself1otherCSattitude1CSattitude2CSattitude3[rule_of_law]CSattitude3[civil_liberties]CSattitude3[effectiveness_of_intel]CSattitude3[legitimacy_of_intel]CSattitude3[trust_in_intel]CSattitude3[critique_of_intel]CSattitude3[prefer_not_to_say]CSattitude4[1]CSattitude4[2]CSattitude4[3]CSattitude4[4]CSattitude4[5]CSattitude4[6]CSattitude5[1]CSattitude5[2]CSattitude5[3]CSattitude5[4]CSattitude5[5]CSattitude5[6]CSattitude6[1]CSattitude6[2]CSattitude6[3]CSattitude6[4]CSattitude6[5]CSattitude6[6]CSgendersurveytype
0United Kingdom23.0Part-time (<50%)4.020.0Some knowledgeSome knowledgeSome knowledgeLittle fundingImportantNaNNaNNaNNaNNaNNaNfoundations.Rather beneficial for fundraisingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseTruePublic CampaigningNaNNaNNaNNaNNaNNaNNaNNaNImportantImportantSlightly importantImportantNot important at allNot important at allNot important at allNot important at allNot important at allNot important at allImportantNot important at allNaNSometimes (50% of the time)Often (75% of the time)Agree to a great extentAgree sligthlyAgree somewhatNot agree at allGreater interest in interoperability of EU JHA databases, in the ways in which travel surveillance and migration policy are promoting systems of generalised surveillance, concern about the possible use of underhand tactics to undermine migrant solidarity and NGOs at sea, concerns about AI and facial recognition are currently hot topics, like in the Reclaim your Face campaign.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNImportantImportantNaNVery importantVery importantVery importantVery importantVery importantVery importantNaNNaNI don't knowAlwaysNoI assume I am always liable to be intercepted when working on sensitive matters; I do not have great technical know-how or the ability or time to train up on these issues, but I do follow the line when I am told something amounts to a minimum standard I should use. I feel that extreme openness in everything I do amounts to a form of defence, because it is all done as a form of public service, including when criticising malfunctions and/or irregularities and foul play.I don't knowI don't knowI don't knowI prefer not to sayNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNoNoNoNoNoNoNaNNoNoNoNoNoNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.FalseTrueFalseTrueFalseTrueFalseIndependent expert bodiesJudicial oversight bodiesData protection authoritiesCivil society organisationsAudit courtsParliamentary oversight bodiesIndependent expert bodiesData protection authoritiesCivil society organisationsJudicial oversight bodiesParliamentary oversight bodiesAudit courtsData protection authoritiesJudicial oversight bodiesCivil society organisationsParliamentary oversight bodiesIndependent expert bodiesAudit courtsManCivil Society Scrutiny
1United Kingdom19.0Full-time1.09.0Advanced knowledgeSome knowledgeSome knowledgeSufficient fundingImportantImportantNo important at allNo important at allSlightly importantNaNNaNtrusts and foundationsNo effect on fundraisingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseTruePolicy AdvocacyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNPrimarily our work has been concerned with biometrics and facial recognition - developing understanding on public attitudes and legal regulation.We have also done some engagement with intelligence agencies on ethical codes and frameworks.NaNNaNNaNNaNNaNNaNVery importantSomewhat importantImportantVery importantNot important at allNot important at allNot important at allNaNNaNRarely (25% of the time)Often (75% of the time)Agree somewhatAgree somewhatAgree somewhatAgree somewhatWe were approached by someone high up in government national security to discuss ethical issues around certain surveillance techniques.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNVery importantVery importantNoSomewhat importantSomewhat importantNot important at allImportantImportantVery importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsRarely (25% of the time)NoI know that British law enables widespread surveillance including of CSOs.NoNoNoNoNoNaNNoNoNoNoNoNoNoNoNoNoNoNoYesNaNNaNNoNoNoNoNoNoNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
2United Kingdom23.0Full-time4.0NaNAdvanced knowledgeAdvanced knowledgeSome knowledgeLittle fundingImportantNo important at allSlightly importantNo important at allImportantNaNNaNI managed to do intelligence-related work in the context of broader studies commissioned by the EU (European Parliament), but did most of my work without being paid, as part of my work with civil society.I don't knowNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseFalsePolicy AdvocacyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNSubmissions to EU (and to a lesser extent national/EU MSs) bodies, esp. the EP (LIBE Ctee)Academic and semi-academic studies, reports, papers and blogsNaNNaNNaNNaNNaNNaNVery importantImportantImportantSomewhat importantSomewhat importantImportantImportantNaNNaNAlwaysAlwaysAgree to a great extentAgree to a great extentAgree to a great extentAgree sligthlyOne very recent example: In the autumn of last year (2020), Prof. Ian Brown and I (Douwe Korff) submitted two extensive papers on the inadequacy of UK data protection law, in particular in relation to access to data by the UK intelligence services, to EU bodies involved in assessing the adequacy of UK data protection law after Brexit. Our very critical comments were very clearly reflected (at times verbatim) in the EP LIBE Ctee draft resolution on the issue (to go to the EP plenary in May) and in the EDPB's opinion on UK adequacy (issued earlier this month [April] 2021).NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNVery importantVery importantYesImportantSomewhat importantSlightly importantImportantImportantImportantNaNNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleI don't knowNoIf the intelligence agencies want to, I am sure they can access my data and communications - both legally and illegally. I just shrug that off.NoNoNoI prefer not to sayNoNaNNoNoNoNoNoNoNoNoNoNoI don't knowNoYesNoNaNNoNoNoNoNoNoNaNNoNoNoNoNoNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseFalseFalseCivil society organisationsJudicial oversight bodiesParliamentary oversight bodiesNaNNaNNaNCivil society organisationsJudicial oversight bodiesParliamentary oversight bodiesNaNNaNNaNJudicial oversight bodiesParliamentary oversight bodiesNaNNaNNaNNaNManCivil Society Scrutiny
3United Kingdom23.0Freelance0.0NaNAdvanced knowledgeAdvanced knowledgeAdvanced knowledgeLittle fundingVery importantVery importantNo important at allSomewhat importantNo important at allNo important at allNaNHave only obtained funding to work on cybersecurity policy but not intelligence.Clearly beneficial for fundraisingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseTruePolicy AdvocacyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNLobbying parliament for and during legal reforms, including drafting amendmentsEngagement with oversight bodies throug workshopsEngagement with intelligence agencies in meetings and seminarsResponding to consultations, including codes of practiceWriting blogsOrganising public events with agencies and tech businessesOrganising closed discussions between agencies and civil society groupsNaNImportantVery importantVery importantImportantSlightly importantNot important at allSlightly importantNaNNaNSometimes (50% of the time)Rarely (25% of the time)Agree somewhatAgree sligthlyAgree to a great extentAgree sligthlyMany references to our work and personal feedback.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNImportantVery importantNoSomewhat importantSomewhat importantNot important at allVery importantVery importantVery importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimes (50% of the time)NoCSOs are not generally covered by protected communicaitons, like journalists or lawyers, or even trade unionists. Most of the work of local CSOs is harmless enough not to require surveillance. International work is different. For example, advocacy work on international trade issues is a legitimate target for US security services tasked by the US Trade Representative (Knowledge Ecology International case). But in most cases the main surveillance risk to my activities comes from governments of less democratic countries where project partners are based.YesNoNaNNoNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNaNNoNoNoNoNoNoNaNYesNoNoNoNaNNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductFalseTrueFalseTrueFalseTrueFalseParliamentary oversight bodiesJudicial oversight bodiesCivil society organisationsData protection authoritiesNaNNaNCivil society organisationsNaNNaNNaNNaNNaNJudicial oversight bodiesNaNNaNNaNNaNNaNManCivil Society Scrutiny
4United Kingdom23.0Full-time3.012.0Advanced knowledgeAdvanced knowledgeAdvanced knowledgeLittle fundingVery importantNo important at allVery importantImportantVery importantI don't knowNaNPrivate foundationsI don't knowNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalsePolicy AdvocacyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNOversight engagement with civil society reportabout:intel editorial teamartificial intelligence and national security researchdiscrimination and surveillance reportNaNNaNNaNNaNVery importantVery importantImportantSomewhat importantSomewhat importantImportantImportantI don't knowNaNOften (75% of the time)Often (75% of the time)Agree somewhatAgree sligthlyAgree somewhatNot agree at allSuccessful court victories. Encouragement from current and former national security officials.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNVery importantVery importantYesNot important at allImportantNot important at allVery importantVery importantVery importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsAlwaysYesNaNNoNoNaNYes, I have evidenceNoNaNNoNoNoNoNoNoNoNoNoYesNoYesYesNaNNaNNoNoNoNoNoNaNNaNYesNoYesYesNaNNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseTrueFalseFalseFalseCivil society organisationsParliamentary oversight bodiesJudicial oversight bodiesData protection authoritiesIndependent expert bodiesAudit courtsCivil society organisationsJudicial oversight bodiesIndependent expert bodiesParliamentary oversight bodiesData protection authoritiesAudit courtsJudicial oversight bodiesIndependent expert bodiesParliamentary oversight bodiesData protection authoritiesAudit courtsCivil society organisationsManCivil Society Scrutiny
5United Kingdom3.0Full-time2.012.0Expert knowledgeAdvanced knowledgeSome knowledgeNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
6United Kingdom23.0Full-time1.010.0Advanced knowledgeAdvanced knowledgeSome knowledgeSufficient fundingVery importantNo important at allNo important at allNo important at allNo important at allNo important at allNaNCore funding from foundationNo effect on fundraisingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseTruePolicy AdvocacyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNWriting policy reportsResearch on biometrics regulationNaNNaNNaNNaNNaNNaNVery importantSomewhat importantVery importantVery importantImportantNot important at allImportantNot important at allNaNRarely (25% of the time)Often (75% of the time)Agree sligthlyAgree sligthlyAgree sligthlyAgree sligthlyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNImportantVery importantNoNot important at allSlightly importantNot important at allSomewhat importantSomewhat importantImportantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsRarely (25% of the time)YesNaNNoNoNaNNoNoNaNNoNoNoNoNoNoNoNoNoNoNoNoYesNoNaNNoNoNoNoNoNaNNaNNoNoNoNoNaNNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseIndependent expert bodiesJudicial oversight bodiesCivil society organisationsNaNNaNNaNIndependent expert bodiesData protection authoritiesCivil society organisationsNaNNaNNaNIndependent expert bodiesJudicial oversight bodiesData protection authoritiesNaNNaNNaNWomanCivil Society Scrutiny
7United Kingdom23.0Full-time2.05.0Advanced knowledgeSome knowledgeSome knowledgeLittle fundingVery importantVery importantNo important at allNo important at allNo important at allI don't knowNaNPrivate FoundationsNo effect on fundraisingYes5.0I don't knowNot helpful at allFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseStrategic LitigationNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN10 Human Rights Organisations v. U.K. (ECHR)Bulk Personal Datasets & Bulk Communications Data (UK)PRIVACY INTERNATIONAL and Others against the United Kingdom (ECHR, Application no. 46259/16)Privacy International v. U.K. (CJEU, C-623/17)NaNNaNNaNNaNVery importantVery importantVery importantI don't knowNaNI don't knowOften (75% of the time)I don't knowOften (75% of the time)Often (75% of the time)Agree completelyAgree completelyAgree completelyAgree completelyAgree to a great extentNaNVery importantVery importantYesImportantImportantSomewhat importantImportantImportantSomewhat importantI don't knowNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsI prefer not to sayI don't knowNaNYesI don't knowI don't knowI don't knowNoNaNNoNoNoNoNoNoI don't knowI don't knowNoI don't knowI don't knowI prefer not to sayI prefer not to sayI prefer not to sayNaNNoNoNoNoNoNoNaNNoNoNoNoI don't knowNaNI prefer not to sayI prefer not to sayTrueTrueFalseFalseFalseTrueFalseCivil society organisationsParliamentary oversight bodiesIndependent expert bodiesJudicial oversight bodiesData protection authoritiesAudit courtsJudicial oversight bodiesIndependent expert bodiesParliamentary oversight bodiesData protection authoritiesNaNNaNJudicial oversight bodiesIndependent expert bodiesData protection authoritiesNaNNaNNaNManCivil Society Scrutiny
8United Kingdom23.0Full-time2.00.5Basic knowledgeSome knowledgeNo knowledgeSome fundingSlightly importantImportantSomewhat importantSlightly importantImportantNaNNaNDonations by governmentsRather beneficial for fundraisingNoNaNNaNNaNTrueFalseFalseFalseFalseFalseFalseFalseFalseFalsePolicy AdvocacyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNResearchNaNNaNNaNNaNNaNNaNNaNVery importantSomewhat importantSomewhat importantSomewhat importantSomewhat importantSlightly importantSlightly importantNaNNaNRarely (25% of the time)Sometimes (50% of the time)Agree sligthlyAgree sligthlyAgree sligthlyAgree sligthlyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNSomewhat importantVery importantNoSlightly importantSlightly importantSlightly importantImportantSlightly importantImportantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimes (50% of the time)YesNaNI don't knowI don't knowNaNI prefer not to sayNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNoNoNoNoNoNoNaNNoNoNoNoNoNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight is mostly effective, however its <br>institutional design needs reform for oversight practitioners to reliably <br>uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseJudicial oversight bodiesCivil society organisationsParliamentary oversight bodiesIndependent expert bodiesAudit courtsData protection authoritiesCivil society organisationsIndependent expert bodiesParliamentary oversight bodiesJudicial oversight bodiesData protection authoritiesAudit courtsJudicial oversight bodiesParliamentary oversight bodiesAudit courtsData protection authoritiesCivil society organisationsIndependent expert bodiesManCivil Society Scrutiny
9United Kingdom5.0Part-time (>50%)NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
10United Kingdom11.0Full-timeNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalsePolicy AdvocacyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
11United Kingdom23.0Full-time2.05.0Some knowledgeAdvanced knowledgeSome knowledgeSome fundingImportantSlightly importantImportantNo important at allImportantNaNNaNTrusts and foundationsRather beneficial for fundraisingYes15.0No, usually longer than 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseFalsePublic CampaigningNaNNaNNaNNaNNaNNaNNaNNaNVery importantVery importantVery importantSomewhat importantNot important at allImportantImportantNot important at allSomewhat importantNot important at allSomewhat importantNaNNaNRarely (25% of the time)Sometimes (50% of the time)Agree to a great extentAgree to a great extentAgree somewhatAgree to a great extentNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNVery importantVery importantYesSlightly importantVery importantSlightly importantVery importantSlightly importantVery importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsRarely (25% of the time)NoDue to the secrecy of intelligence work and the catch-all exemptions for 'national security', there will never be meaningful legal protection from surveillance in the UKNoNoNaNYes, I suspectNoNaNNoNoNaNNoNoNoNoNoNoYesNoNoNoNoNaNNoNoYesNoNoNoNaNNoNoNoNoNaNNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseFalseTrueFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNManCivil Society Scrutiny
12United Kingdom23.0Freelance5.020.0Some knowledgeSome knowledgeSome knowledgeSome fundingVery importantSlightly importantImportantSlightly importantSlightly importantI don't knowNaNPrivate endowmentRather constraining for fundraisingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalsePolicy AdvocacyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNResearch reports on regulation of algorithmic tools by police/intelligence agenciescontributing to research on algorithmic biasinternal governance and oversight of development and deployment of algorithmic surveillance toolsbuilding a data ethics framework for law enforcementencouraging greater transparency and independent oversight as a way of demonstrating legitimacyNaNNaNNaNVery importantSomewhat importantVery importantVery importantImportantI don't knowImportantI don't knowNaNRarely (25% of the time)Rarely (25% of the time)Agree completelyAgree completelyAgree completelyAgree completelyindependent reports are now frequently cited in official reports and policy papers.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNSlightly importantSlightly importantNaNI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayNaNI prefer not to sayI prefer not to sayI prefer not to sayNaNI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayNoNaNI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayNaNNoNoNoNoNoNoNaNI don't knowI don't knowI don't knowI don't knowI don't knowNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight is mostly effective, however its <br>institutional design needs reform for oversight practitioners to reliably <br>uncover past misconduct and prevent future misconductTrueFalseTrueTrueFalseFalseFalseIndependent expert bodiesJudicial oversight bodiesCivil society organisationsData protection authoritiesParliamentary oversight bodiesNaNCivil society organisationsNaNNaNNaNNaNNaNJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesNaNNaNNaNManCivil Society Scrutiny
13Germany16.0Part-time (>50%)4.05.0Advanced knowledgeExpert knowledgeSome knowledgeSufficient fundingNo important at allVery importantNo important at allNo important at allNo important at allNo important at allNaNWir sind eine ausschließlich spendenfinanziert Organisation. Wir nehmen keine öffentlichen Gelder oder Unternehmenssponsoring.Rather constraining for fundraisingNoNaNNaNNaNFalseFalseFalseTrueFalseFalseTrueFalseFalseTruePolicy AdvocacyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNLobbygesprächeBriefings für pol. Entscheidungsträger_innenÖffentliche StellungnahmenÜbergabe von Petitionen verbunden mit GesprächenNaNNaNNaNNaNImportantImportantSlightly importantImportantNot important at allSlightly importantSomewhat importantSomewhat importantObwohl es hier um Lobbyarbeit geht: Kamagnenelemente helfen, durch öfftl. Druck Lobbyarbeit zu verstärken und z.B. zu Gesprächen eingeladen zu werden. Leider ist Mobilisierung zu ND-Themen schwierig.Sometimes (50% of the time)Often (75% of the time)Agree somewhatAgree sligthlyAgree somewhatNot agree at allNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
14Germany23.0Full-time1.04.0Basic knowledgeSome knowledgeExpert knowledgeNo fundingVery importantNo important at allImportantSlightly importantSlightly importantI don't knowNaNPrivate StiftungenClearly beneficial for fundraisingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseTrueFalseFalsePolicy AdvocacyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAngewandte ForschungGespräche mit Entscheider:innenMedienarbeitSachverständigenarbeitNaNNaNNaNNaNVery importantVery importantVery importantSomewhat importantNot important at allI prefer not to saySomewhat importantI prefer not to sayNaNSometimes (50% of the time)Often (75% of the time)Agree completelyAgree somewhatAgree to a great extentAgree sligthlyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNImportantVery importantNoSlightly importantSlightly importantI prefer not to sayVery importantSomewhat importantVery importantImportantUpdatesTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimes (50% of the time)I don't knowNaNI don't knowI don't knowI don't knowI prefer not to sayNoNaNNoNoNoNoI don't knowNoNoNoI don't knowI don't knowNoNoI don't knowI don't knowNaNNoNoNoNoNoNoNaNI don't knowI don't knowI don't knowI don't knowI don't knowNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseCivil society organisationsIndependent expert bodiesData protection authoritiesAudit courtsNaNNaNJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesNaNNaNNaNNaNNaNNaNNaNNaNNaNManCivil Society Scrutiny
15Germany17.0Full-time2.07.0Some knowledgeAdvanced knowledgeExpert knowledgeNo fundingNo important at allImportantNo important at allNo important at allNo important at allNo important at allNaNNaNClearly beneficial for fundraisingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseTrueFalsePolicy AdvocacyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNImportantImportantImportantVery importantImportantVery importantImportantNaNNaNSometimes (50% of the time)Sometimes (50% of the time)Agree completelyNot agree at allAgree completelyAgree sligthlyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNVery importantVery importantYesVery importantVery importantVery importantVery importantVery importantVery importantI prefer not to sayNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
16Germany23.0Full-time0.540.0Some knowledgeExpert knowledgeBasic knowledgeLittle fundingVery importantImportantNo important at allNo important at allNo important at allNo important at allNaNNaNRather beneficial for fundraisingYes5.0Yes, within 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseStrategic LitigationNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNImportantImportantImportantNaNNaNNever or rarelyAlways or very oftenNot risky at allRarely (25% of the time)Often (75% of the time)Agree somewhatAgree somewhatAgree sligthlyAgree sligthlyAgree sligthlyNaNVery importantVery importantYesImportantSomewhat importantSlightly importantSomewhat importantSlightly importantNaNNaNNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleAlwaysNoNaNNaNNaNYesYes, I suspectNoNaNNoNoNoNoYesNoNoNoNoNoNoNoNoNaNNaNNoNoNoNoNoNaNNaNNoNoNoNoNaNNaNIntelligence agencies are incompatible with democratic <br>values and should be abolishedEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.FalseFalseFalseFalseFalseFalseTrueCivil society organisationsJudicial oversight bodiesIndependent expert bodiesData protection authoritiesAudit courtsParliamentary oversight bodiesCivil society organisationsIndependent expert bodiesJudicial oversight bodiesData protection authoritiesAudit courtsParliamentary oversight bodiesJudicial oversight bodiesData protection authoritiesAudit courtsIndependent expert bodiesParliamentary oversight bodiesCivil society organisationsManCivil Society Scrutiny
17Germany3.0Part-time (>50%)3.010.0Advanced knowledgeAdvanced knowledgeSome knowledgeSome fundingNo important at allNo important at allImportantNaNImportantNo important at allNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
18Germany23.0Full-time0.510.0Expert knowledgeExpert knowledgeSome knowledgeSome fundingVery importantVery importantSlightly importantSlightly importantSlightly importantSomewhat importantNaNNaNNaNNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseStrategic LitigationNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNReporter ohne Grenzen ./. BNDNaNNaNNaNNaNNaNNaNNaNVery importantImportantImportantNaNNaNNever or rarelyNaNNot risky at allAlwaysNaNAgree completelyAgree to a great extentAgree to a great extentAgree completelyAgree completelyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNeverNaNNaNNaNNaNNaNNaNNoNaNNoNoNoNoNoNoNoNoNoNoNoYesYesNaNNaNNoNoNoNoNoNoNaNNoNoNoNoNaNNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseTrueFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNManCivil Society Scrutiny
19Germany23.0Full-time3.08.0Some knowledgeAdvanced knowledgeBasic knowledgeSufficient fundingNo important at allVery importantNo important at allNo important at allNo important at allNo important at allNaNSpendenRather beneficial for fundraisingYes5.0No, usually longer than 30 daysNot helpful at allFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseStrategic LitigationNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNBeschwerdeführende Organisation im erfolgreich abgeschlossenen BVErfG-Verfahren gegen das BND-GesetzBeschwerdeführende Organisation im erfolgreich abgeschlossenen Bundesverwaltungsgerichtsverfahren gegen die Veras-DatenbankBeschwerdeführende Organisation im laufenden EGMR-Verfahren gegen die BND-Überwachung der Inland-Inland-KommunikatinAmicus Curiae in laufendem türkischem Strafverfahren gegen InlandsgeheimdienatüberwachungInitiierung einer erfolgreich abgeschlossenen US-Zivilklage gegen syrischen Geheimdienst bzw. dessen Überwachung und gezielte Tötung ausländischer Journalist*innenStrafanzeige in Deutschland gegen Vertreter des saudi-arabischen Geheimdiensts wegen gezielter Überwachung von Journalist*innenNaNNaNVery importantVery importantSomewhat importantNaNNaNNever or rarelyOften (75% of the time)Not risky at allOften (75% of the time)Often (75% of the time)Agree somewhatAgree somewhatAgree to a great extentAgree completelyAgree somewhatIn Folge der BVerfG-Klage gegen BND-Gesetz wurde neues BND-Gesetz verabschiedet.\nIn Folge der Bundesverwaltungagerichtklage gegen die Veras-Datenbank wurde diese Datenbank abgestellt.\nIm Rahmen der Zivilklage in den USA gegen syrischen Geheimdienst wurde der Geheimdienst zu einer Entschädigungszahlung verurteilt, die allerdings (so lange das Assad-Regime herrscht) wohl nicht gezahlt werden wird.Very importantVery importantYesVery importantVery importantSomewhat importantVery importantImportantVery importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsOften (75% of the time)I don't knowNaNYesYesNaNYes, I have evidenceNoNaNNoNoI prefer not to sayI prefer not to sayYesNoYesI don't knowNoNoYesYesYesNaNNaNNoNoNoNoNoNaNNaNNoNoNoI don't knowNaNNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueFalseFalseTrueTrueFalseFalseCivil society organisationsParliamentary oversight bodiesData protection authoritiesJudicial oversight bodiesIndependent expert bodiesAudit courtsJudicial oversight bodiesCivil society organisationsIndependent expert bodiesParliamentary oversight bodiesData protection authoritiesAudit courtsParliamentary oversight bodiesIndependent expert bodiesJudicial oversight bodiesData protection authoritiesAudit courtsCivil society organisationsManCivil Society Scrutiny
20Germany23.0Part-time (>50%)3.05.0Advanced knowledgeAdvanced knowledgeSome knowledgeSufficient fundingNo important at allVery importantNo important at allNo important at allNo important at allNo important at allNaNWir nehmen (mit seltenen, hier nicht relevanten Ausnahmen) ausschließlich Spenden privater Personen.Rather constraining for fundraisingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseTruePolicy AdvocacyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNLobby-GesprächeBriefings und StellungnahmenÜbergabe von PetitionenOrganisation von lobbyrelevanten VeranstaltungenNaNNaNNaNNaNImportantImportantSlightly importantImportantNot important at allSlightly importantSlightly importantNaNNaNOften (75% of the time)Rarely (25% of the time)Agree to a great extentNot agree at allAgree somewhatAgree sligthlyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNVery importantVery importantNoSlightly importantI prefer not to sayI prefer not to sayImportantI prefer not to saySomewhat importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimes (50% of the time)NoInsb. meine internationale Kommunikation mit ausländischen Kolleg_innen kann nach derzeitiger Rechtslage überwacht werden. Gleichzeitig ist meine Orgsanisation technisch nicht auf dem Stand, dass wir diese Kommunikation schützen könnten.I don't knowI don't knowNaNYes, I have evidenceNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNaNYesNoNoNoNoNoNaNYesNoNoNoYesWir haben die Arbeit an Nachrichtendienst-Themen reduziert, da sie bei der Politik im Wesentlichen "auf taube Ohren" zu stoßen scheint und es schwierig ist, am Ball zu bleiben, wenn man scheinbar keinen Unterschied macht (außer durch Klageführung). Auch Mobilisierung und Fundraising zu dem Themenbereich ist schwierig. Themenbereich zudem rechtlich enorm komplex, schwierig für NGOs, die große Fülle an auch anderen Themen bearbeiten müssen.I prefer not to sayIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseCivil society organisationsData protection authoritiesIndependent expert bodiesParliamentary oversight bodiesJudicial oversight bodiesNaNJudicial oversight bodiesData protection authoritiesAudit courtsCivil society organisationsIndependent expert bodiesParliamentary oversight bodiesJudicial oversight bodiesAudit courtsData protection authoritiesParliamentary oversight bodiesIndependent expert bodiesCivil society organisationsWomanCivil Society Scrutiny
21Germany3.0Part-time (>50%)1.010.0Basic knowledgeAdvanced knowledgeBasic knowledgeNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
22Germany23.0Part-time (>50%)3.06.0Expert knowledgeAdvanced knowledgeSome knowledgeLittle fundingNo important at allVery importantNo important at allNo important at allNo important at allNo important at allNaNSpendenI don't knowNoNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseTrueFalsePublic CampaigningNaNNaNNaNNaNNaNNaNNaNNaNSomewhat importantImportantSomewhat importantSomewhat importantSlightly importantSomewhat importantSomewhat importantI prefer not to saySlightly importantI prefer not to saySomewhat importantNaNNaNRarely (25% of the time)Rarely (25% of the time)Agree somewhatAgree sligthlyAgree to a great extentAgree sligthlyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNVery importantVery importantYesImportantSomewhat importantSomewhat importantSomewhat importantImportantSomewhat importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimes (50% of the time)NoNaNYesNoI prefer not to sayYes, I suspectNoNaNNoNoNoNoNoNoI prefer not to sayNoNoNoNoNoNoNoNaNNoNoI don't knowNoNoNaNNaNNoNoNoNoNaNNaNIntelligence agencies are incompatible with democratic <br>values and should be abolishedEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseFalseTrueFalseCivil society organisationsIndependent expert bodiesNaNNaNNaNNaNJudicial oversight bodiesNaNNaNNaNNaNNaNParliamentary oversight bodiesCivil society organisationsNaNNaNNaNNaNManCivil Society Scrutiny
23Germany23.0Full-time1.010.0Expert knowledgeExpert knowledgeAdvanced knowledgeSufficient fundingSomewhat importantVery importantSomewhat importantSomewhat importantSomewhat importantI don't knowNaNSpenden - Garantieren UnabhängigkeitNo effect on fundraisingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseTruePolicy AdvocacyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNLobbyarbeit - Gespräch mit Entscheidungsträgern; Versuch, Gesetzgebung zu beeinflußenNaNNaNNaNNaNNaNNaNNaNSomewhat importantVery importantVery importantImportantImportantSomewhat importantSomewhat importantNaNNaNOften (75% of the time)Often (75% of the time)Agree to a great extentAgree sligthlyAgree sligthlyAgree sligthlyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNImportantVery importantYesVery importantVery importantVery importantVery importantVery importantVery importantVery importantPasswortmanagerTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsOften (75% of the time)NoKeine ausreichende Kontrolle der DiensteI don't knowI don't knowNaNYes, I suspectNoNaNNoNoNoNoI don't knowNoI don't knowNoNoNoI don't knowI don't knowI don't knowI don't knowNaNNoNoNoNoNoNoNaNNoNoNoNoNaNNaNI prefer not to sayIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueFalseTrueTrueFalseFalseFalseIndependent expert bodiesData protection authoritiesParliamentary oversight bodiesJudicial oversight bodiesNaNNaNJudicial oversight bodiesData protection authoritiesNaNNaNNaNNaNJudicial oversight bodiesNaNNaNNaNNaNNaNI prefer not to sayCivil Society Scrutiny
24Germany23.0Part-time (>50%)2.03.0Expert knowledgeSome knowledgeSome knowledgeSufficient fundingVery importantVery importantNo important at allNo important at allNo important at allImportantCo-Finanzierung von Klagen durch PartnerorganisationenPrivate StiftungenClearly beneficial for fundraisingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseStrategic LitigationNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNVerfassungsbeschwerde gegen BND-GesetzVerfassungsbeschwerde gegen das bayerische VerfassungsschutzgesetzVerfassungsbeschwerde gegen das Hamburgische VerfassungsschutzgesetzAuskunftsklage gegen Hamburgischen VerfassungsschutzNaNNaNNaNNaNVery importantI prefer not to saySlightly importantI prefer not to sayNaNNever or rarelyNever or rarelyNot risky at allSometimes (50% of the time)Sometimes (50% of the time)Agree somewhatAgree to a great extentAgree completelyAgree to a great extentAgree to a great extentNeues Gesetz wurde erlassenImportantVery importantYesVery importantVery importantSlightly importantVery importantVery importantImportantVery importantEigene Server-InfrastrukturI have full confidence that the right tools <br>will protect my communication from surveillanceRarely (25% of the time)YesNaNNoYesNoNoNoNaNNoNoNoNoNoNoNoNoNoNoNoNoYesNoNaNNoNoNoNoNoNoNaNNoNoNoNoNoNaNI prefer not to sayIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseCivil society organisationsIndependent expert bodiesJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesAudit courtsJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesCivil society organisationsIndependent expert bodiesAudit courtsParliamentary oversight bodiesData protection authoritiesCivil society organisationsJudicial oversight bodiesIndependent expert bodiesAudit courtsManCivil Society Scrutiny
25Germany5.0Full-time3.015.0Advanced knowledgeExpert knowledgeAdvanced knowledgeI prefer not to sayNo important at allNo important at allNo important at allNo important at allNo important at allNo important at allNaNNaNI prefer not to sayNoNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
26Germany17.0Part-time (>50%)4.04.0Advanced knowledgeSome knowledgeBasic knowledgeI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayNaNNaNI prefer not to sayNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseFalsePolicy AdvocacyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNVerfassen von StellungnahmenPressearbeit (PM, Statements)SachverständigenanhörungenNaNNaNNaNNaNNaNVery importantVery importantVery importantVery importantVery importantSomewhat importantImportantNaNNaNRarely (25% of the time)Rarely (25% of the time)Agree somewhatAgree sligthlyAgree somewhatAgree sligthlyNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNImportantVery importantI don't knowNaNVery importantI don't knowNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
27Germany23.0Full-time4.026.0Some knowledgeSome knowledgeBasic knowledgeI prefer not to saySomewhat importantVery importantNo important at allNo important at allNo important at allNo important at allNaNSpendenNo effect on fundraisingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseTruePublic CampaigningTerrorfilter (TERREG)NetzDGE-Evidence VerordnungReclaim your faceVorratsdatenspeicherungNOPNR - FluggastdatenspeicherungNaNNaNVery importantVery importantImportantImportantSomewhat importantImportantVery importantSomewhat importantSomewhat importantSlightly importantImportantNaNNaNOften (75% of the time)Often (75% of the time)Agree to a great extentAgree sligthlyAgree to a great extentNot agree at allNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNImportantVery importantYesVery importantImportantSomewhat importantVery importantVery importantVery importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsOften (75% of the time)NoNaNNoNoI don't knowI prefer not to sayNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNoNoNoNoNoNaNNaNNoNoNoNoNaNNaNIntelligence agencies are incompatible with democratic <br>values and should be abolishedEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseFalseTrueFalseIndependent expert bodiesJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesCivil society organisationsAudit courtsJudicial oversight bodiesParliamentary oversight bodiesIndependent expert bodiesData protection authoritiesCivil society organisationsAudit courtsParliamentary oversight bodiesJudicial oversight bodiesData protection authoritiesIndependent expert bodiesCivil society organisationsAudit courtsWomanCivil Society Scrutiny
28Germany23.0Full-time1.03.0Basic knowledgeBasic knowledgeBasic knowledgeNo fundingImportantImportantSomewhat importantSlightly importantSlightly importantVery importantEigene ehrenamtliche ArbeitEigene ehrenamtliche ArbeitNo effect on fundraisingYes20.0No, usually longer than 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseStrategic LitigationNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNhttps://fragdenstaat.de/blog/tag/bnd/https://fragdenstaat.de/blog/tag/verfassungsschutz/NaNNaNNaNNaNNaNNaNImportantImportantI prefer not to sayNaNNaNSometimes (50% of the time)Sometimes (50% of the time)Somewaht riskyRarely (25% of the time)Sometimes (50% of the time)Agree completelyAgree to a great extentAgree sligthlyAgree sligthlyAgree sligthlyhttps://fragdenstaat.de/blog/2019/05/02/klage-erfolgreich-berliner-verfassungsschutz-muss-auskunft-geben/ImportantVery importantI don't knowVery importantVery importantSomewhat importantVery importantVery importantVery importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsAlwaysNoAuskunftsrechte nicht weit genug (z. B. bei BfV)I don't knowI don't knowI don't knowYes, I suspectNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNoNoNoNoNoNoNaNYesNoNoYesNaNNaNIntelligence agencies are incompatible with democratic <br>values and should be abolishedEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseFalseTrueFalseCivil society organisationsIndependent expert bodiesParliamentary oversight bodiesData protection authoritiesJudicial oversight bodiesAudit courtsJudicial oversight bodiesData protection authoritiesAudit courtsParliamentary oversight bodiesIndependent expert bodiesCivil society organisationsData protection authoritiesJudicial oversight bodiesParliamentary oversight bodiesIndependent expert bodiesAudit courtsCivil society organisationsManCivil Society Scrutiny
29Germany23.0Freelance5.06.0Advanced knowledgeAdvanced knowledgeSome knowledgeSufficient fundingNo important at allVery importantNo important at allNo important at allNo important at allImportantMitgliedsbeiträge von Vereinsmitgliedern (--> Damit kann man konstanter planen als mit Spenden, gerade was langfristige Litigation-Projekte angeht ist das wichtig)Spenden- und Mitgliedsbeiträge allgemein für die Organisation (nicht speziell für ND-Arbeit, dafür wird wenig bis gar nicht zweckgebunden gespendet)No effect on fundraisingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseTrueFalseFalseTrueStrategic LitigationNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNVerAS-Urteil Bundesverwaltungsgericht LeipzigVerfassungsbeschwerde gegen Teil-Niederlage bei VerAS-UrteilEGMR-Beschwerde gegen Niederlage bei VB zu Teil-Niederlage bei VerAS-UrteilVB gegen BND-Gesetz in KarlsruheNaNNaNNaNNaNVery importantSlightly importantSlightly importantVery importantFinanzierung sicherstellen und Netzwerk aktivieren, um passende Beschwerdeführer:innen zu finden.Never or rarelySometimes (50% of the time)Somewaht riskyOften (75% of the time)Rarely (25% of the time)Agree completelyAgree completelyAgree completelyAgree somewhatAgree somewhatNeues BND-Gesetz nach VB-Erfolg in Karlsruhe 2020 (Schaffung Kontrollgremium usw.)\n\nAbschaltung VerAS-Datenbank durch re:publica-Aktion "Bitte Nicht Durchleuchten" nach Leipzig-Urteil: https://netzpolitik.org/2018/bitte-nicht-durchleuchten-bnd-stoppt-illegale-speicherung-von-metadaten-in-datei-veras/ \n\nVery importantVery importantYesVery importantSlightly importantVery importantVery importantVery importantVery importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimes (50% of the time)NoBesonders Schrankenregelungen wie z.B. beim publizistischen Zeugnisverweigerungsrecht (§160a StPO usw.) gibt es für NGOs in Deutschland nicht. Außerdem: Schutzrechte greifen für Journalist:innen und Anwält:innen, aber nicht für Whistleblower (Steigbügelhalter-Theorie), die im ND-Bereich sehr wichtig, weil über offizielle Wege kaum bis keine Infos nach außen dringen.\nAußerdem großes Problem: Auskunftsrechte existieren (wenn überhaupt) nur auf dem Papier, d.h. es kann i.d.R. kein Rechtsweg beschritten werden, weil die Betroffenen nie erfahren, über Überwachung stattgefunden hat.\nZuletzt: Trend bei Kontrolle hin zu außerparlamentarischen Stellvertreter-Kontrollorganen, statt echte Transparenz über ND-Tätigkeit. Ebenfalls schwierig für Rechtsschutz.NoNoNoYes, I suspectNoNaNNoNoNoNoNoNoNoYesI prefer not to sayNoNoNoNoNoNaNNoNoNoNoNoNoNaNNoNoNoNoYesAufgabe von Projekten weniger aus "Angst", als aufgrund von Kosten/Nutzen-Rechnung für Organisationen: Arbeitet kostet viel Geld, dauert lange (wenig passiert), wenig Interesse in der Öffentlichkeit und geringe Erfolgsaussichten. Das macht es für viele Organisationen unattraktiv, da zu investieren.Intelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseFalseFalseCivil society organisationsParliamentary oversight bodiesData protection authoritiesJudicial oversight bodiesIndependent expert bodiesAudit courtsJudicial oversight bodiesParliamentary oversight bodiesCivil society organisationsData protection authoritiesAudit courtsIndependent expert bodiesJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesAudit courtsCivil society organisationsIndependent expert bodiesManCivil Society Scrutiny
30Germany23.0Full-time2.02.0Basic knowledgeAdvanced knowledgeBasic knowledgeSome fundingNo important at allNo important at allNo important at allNo important at allNo important at allVery importantMitgliedsbeiträgeMitgliedsbeiträgeI don't knowNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueStrategic LitigationNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNVerfassungsbeschwerde BND-GVerfassungsbeschwerde Trojaner-Einsatz durch Verfassungsschutz und Predicitive-Policing-Befugnisse der Polizei in HamburgNaNNaNNaNNaNNaNNaNSomewhat importantSomewhat importantVery importantNaNNaNRarely (25% of the time)Never or rarelyI don't knowSometimes (50% of the time)NeverAgree to a great extentAgree somewhatAgree sligthlyNot agree at allAgree somewhatNaNVery importantVery importantYesVery importantSlightly importantI prefer not to sayVery importantVery importantImportantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsRarely (25% of the time)NoNaNYesYesNaNI prefer not to sayNoNaNNoNoNoNoNoNoI don't knowNoI don't knowNoNoNoNoNaNNaNNoNoNoNoNoNaNNaNNoNoNoNoNaNNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseFalseFalseCivil society organisationsParliamentary oversight bodiesJudicial oversight bodiesIndependent expert bodiesData protection authoritiesAudit courtsCivil society organisationsJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesIndependent expert bodiesAudit courtsJudicial oversight bodiesAudit courtsData protection authoritiesParliamentary oversight bodiesIndependent expert bodiesCivil society organisationsWomanCivil Society Scrutiny
31France23.0Full-time4.06.0Advanced knowledgeAdvanced knowledgeAdvanced knowledgeSufficient fundingSomewhat importantImportantSomewhat importantNo important at allSomewhat importantNo important at allNaN- Projets de recherche européens\n- Fondations privéesRather beneficial for fundraisingYes1.0Yes, within 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseStrategic LitigationNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNContentieu constitutionnel sur l'article L. 811-5 du code de la sécurité intérieurContentieu administratif et européen sur la conservation généralisée des donnéesContentieu administratif sur les décrets d'application de la loi renseignementNaNNaNNaNNaNNaNVery importantSlightly importantSomewhat importantNaNNaNNever or rarelyAlways or very oftenNot risky at allRarely (25% of the time)Sometimes (50% of the time)Agree somewhatAgree to a great extentAgree completelyAgree to a great extentAgree sligthlyNos recours jouent un rôle dans la meilleure connaissance des juges français du droit européen et international applicable aux activités de surveillance. Ils sont fréquemment cités dans les rapports parlementaires ou les rapports des autorités de contrôle s'intéressant au renseignement, et permettent de faire évoluer le droit applicable dans le sens d'un meilleur encadrement de l'activité des services de renseignement.ImportantVery importantNoSomewhat importantSlightly importantSomewhat importantVery importantImportantImportantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimes (50% of the time)NoJe n'ai aucune information permettant de penser que je bénéficierais d'une protection particulière. Mes activités militantes font que je communique ou rencontre fréquemment des personnes dont je sais qu'elles ont, ou font encore, l'objet de mesures de surveillance de la part des services de renseignement.NoNoNaNYes, I suspectNoNaNNoNoNoNoYesNoI don't knowNoI don't knowI don't knowNoNoNoNaNNaNNoNoNoNoNoNoNaNNoNoNoNoNaNNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseCivil society organisationsParliamentary oversight bodiesIndependent expert bodiesNaNNaNNaNCivil society organisationsNaNNaNNaNNaNNaNIndependent expert bodiesNaNNaNNaNNaNNaNManCivil Society Scrutiny
32France23.0Other4.07.0Advanced knowledgeAdvanced knowledgeSome knowledgeLittle fundingSlightly importantSlightly importantNo important at allNo important at allNo important at allNo important at allNaNénergie bénévoleI don't knowNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalsePublic CampaigningLoi renseignement 2015modif intermédiaore 2017-2020Loi pater 2021Sensibilisation généraleetcNaNNaNNaNSomewhat importantVery importantSomewhat importantSomewhat importantSlightly importantSlightly importantImportantI prefer not to sayImportantSlightly importantSlightly importantNaNNaNRarely (25% of the time)Rarely (25% of the time)Agree somewhatNot agree at allAgree somewhatI don't knowNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNVery importantVery importantNoSomewhat importantSlightly importantSomewhat importantSomewhat importantSomewhat importantSomewhat importantNaNNaNI don't knowI don't knowNoNaNI don't knowNoNaNI prefer not to sayNoNaNNoNoNoNoNoNoI don't knowNoNoI don't knowNoNoNoNaNNaNNoNoNoNoNoNaNNaNYesI don't knowYesYesNaNNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductFalseTrueFalseFalseFalseTrueFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
33France18.0Full-time15.025.0Some knowledgeExpert knowledgeSome knowledgeLittle fundingNo important at allSlightly importantNo important at allImportantNo important at allNo important at allNaNNaNClearly beneficial for fundraisingNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseFalsePublic CampaigningAllo place BEauvauAllo IGPNUn pays qui se tient sageNaNNaNNaNNaNNaNVery importantImportantSomewhat importantVery importantImportantImportantVery importantI prefer not to saySlightly importantI prefer not to sayI prefer not to sayI prefer not to sayNaNRarely (25% of the time)Often (75% of the time)Agree completelyAgree somewhatAgree completelyAgree somewhatNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNImportantVery importantNoNot important at allSlightly importantNot important at allSlightly importantImportantImportantNot important at allNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsOften (75% of the time)NoPressions judiciaires et policières sur les lanceurs alerte et journalisteYesNoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
34France6.0Freelance15.025.0Expert knowledgeExpert knowledgeExpert knowledgeNo fundingNo important at allNo important at allNo important at allNo important at allNo important at allNo important at allNaNNaNI don't knowNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseTruePublic CampaigningNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
35France23.0Full-time15.025.0Advanced knowledgeAdvanced knowledgeSome knowledgeSome fundingSlightly importantSlightly importantNo important at allNo important at allNo important at allNo important at allNaNNaNClearly beneficial for fundraisingNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseFalsePublic CampaigningAllo place BEauvauAllo IGPNUn pays qui se tient sageNaNNaNNaNNaNNaNVery importantVery importantI prefer not to sayVery importantSlightly importantSomewhat importantVery importantImportantI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayNaNOften (75% of the time)Rarely (25% of the time)Agree completelyAgree somewhatAgree to a great extentAgree sligthlyhttps://www.davduf.net/alloplacebeauvau-bilan \nhttps://www.mediapart.fr/studio/panoramique/allo-place-beauvau-cest-pour-un-bilanNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNImportantVery importantNoNot important at allSlightly importantNot important at allSlightly importantSlightly importantImportantNot important at allNaNI have no confidence in the protection offered by <br>technological toolsOften (75% of the time)NoTrop de pressions policières et judiciairesNoNoNaNYes, I suspectNoNaNNoNoNaNNaNNoNoYesYesI don't knowI don't knowYesNoNoNaNNaNNaNNaNNaNNaNNaNNaNNaNNoNoNoNoNaNNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseAudit courtsCivil society organisationsNaNNaNNaNNaNCivil society organisationsAudit courtsData protection authoritiesNaNNaNNaNCivil society organisationsAudit courtsData protection authoritiesNaNNaNNaNManCivil Society Scrutiny
36France4.0Full-time2.026.0Basic knowledgeSome knowledgeAdvanced knowledgeI don't knowNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
37France18.0Full-time2.026.0Basic knowledgeSome knowledgeAdvanced knowledgeNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseFalsePublic CampaigningNaNNaNNaNNaNNaNNaNNaNNaNSomewhat importantVery importantSlightly importantVery importantI prefer not to sayVery importantImportantI prefer not to sayNaNImportantNaNNaNNaNSometimes (50% of the time)NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNVery importantVery importantNoVery importantImportantVery importantVery importantVery importantImportantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimes (50% of the time)NoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
\ No newline at end of file diff --git a/profiles/media.html b/profiles/media.html deleted file mode 100644 index ddbd5a2..0000000 --- a/profiles/media.html +++ /dev/null @@ -1,94711 +0,0 @@ -Pandas Profiling Report (MS)

Overview

Dataset statistics

Number of variables174
Number of observations37
Missing cells1722
Missing cells (%)26.7%
Total size in memory34.7 KiB
Average record size in memory961.5 B

Variable types

Categorical105
Numeric7
Boolean62

Warnings

MSfoi5[not_aware] has constant value "False" Constant
MSfoi5[afraid_of_discrimination] has constant value "False" Constant
MSfoi5[dont_know] has constant value "False" Constant
MSfoi5[prefer_not_to_say] has constant value "False" Constant
MSsoc5[prefer_not_to_say] has constant value "False" Constant
MSimpact1[prefer_not_to_say] has constant value "False" Constant
MSprotectleg4other has constant value "Certains de mes articles, pas contre, m'ont permis d'obtenir des infos en "off", à défaut de "soutien institutionnel"" Constant
MSconstraintcen4 has constant value "No" Constant
MSconstraintinter3 has constant value "I was threatened with prosecution" Constant
MSconstraintinter4[police_search] has constant value "No" Constant
MSconstraintinter4[seizure] has constant value "No" Constant
MSconstraintinter4[detention] has constant value "No" Constant
MSconstraintinter6[gender] has constant value "No" Constant
MSconstraintinter6[ethnicity] has constant value "No" Constant
MSconstraintinter6[sexual] has constant value "No" Constant
surveytype has constant value "Media Scrutiny" Constant
MShr1 has 2 (5.4%) missing values Missing
MShr2 has 4 (10.8%) missing values Missing
MShr4 has 3 (8.1%) missing values Missing
MSexpertise1 has 5 (13.5%) missing values Missing
MSexpertise2 has 3 (8.1%) missing values Missing
MSexpertise3 has 3 (8.1%) missing values Missing
MSexpertise4 has 3 (8.1%) missing values Missing
MSfinance1 has 3 (8.1%) missing values Missing
MSfinance2 has 3 (8.1%) missing values Missing
MSfoi1 has 3 (8.1%) missing values Missing
MSfoi2 has 25 (67.6%) missing values Missing
MSfoi3 has 25 (67.6%) missing values Missing
MSfoi4 has 25 (67.6%) missing values Missing
MSapp1 has 4 (10.8%) missing values Missing
MSapp2 has 4 (10.8%) missing values Missing
MSsoc1 has 8 (21.6%) missing values Missing
MSsoc2 has 9 (24.3%) missing values Missing
MSsoc4 has 8 (21.6%) missing values Missing
MStrans1 has 8 (21.6%) missing values Missing
MStrans2 has 8 (21.6%) missing values Missing
MStrans3 has 24 (64.9%) missing values Missing
MSprotectops1[sectraining] has 11 (29.7%) missing values Missing
MSprotectops1[secure_drop] has 13 (35.1%) missing values Missing
MSprotectops1[e2e] has 10 (27.0%) missing values Missing
MSprotectops2 has 11 (29.7%) missing values Missing
MSprotectops3[encrypted_email] has 10 (27.0%) missing values Missing
MSprotectops3[vpn] has 10 (27.0%) missing values Missing
MSprotectops3[tor] has 11 (29.7%) missing values Missing
MSprotectops3[e2e_chat] has 11 (29.7%) missing values Missing
MSprotectops3[encrypted_hardware] has 10 (27.0%) missing values Missing
MSprotectops3[2fa] has 10 (27.0%) missing values Missing
MSprotectops3[secure_drop] has 12 (32.4%) missing values Missing
MSprotectops3[other] has 25 (67.6%) missing values Missing
MSprotectops3other has 35 (94.6%) missing values Missing
MSprotectops4 has 10 (27.0%) missing values Missing
MSprotectleg1 has 10 (27.0%) missing values Missing
MSprotectleg2 has 10 (27.0%) missing values Missing
MSprotectleg3[free_counsel] has 11 (29.7%) missing values Missing
MSprotectleg3[cost_insurance] has 11 (29.7%) missing values Missing
MSprotectleg3[other] has 26 (70.3%) missing values Missing
MSprotectleg4[free_counsel] has 11 (29.7%) missing values Missing
MSprotectleg4[cost_insurance] has 12 (32.4%) missing values Missing
MSprotectleg4[other] has 24 (64.9%) missing values Missing
MSprotectleg4other has 36 (97.3%) missing values Missing
MSprotectleg5 has 10 (27.0%) missing values Missing
MSprotectrta1 has 10 (27.0%) missing values Missing
MSprotectrta2 has 31 (83.8%) missing values Missing
MSprotectrta3 has 31 (83.8%) missing values Missing
MSprotectrta4 has 10 (27.0%) missing values Missing
MSprotectrta5 has 27 (73.0%) missing values Missing
MSprotectrta6 has 28 (75.7%) missing values Missing
MSconstraintcen1 has 11 (29.7%) missing values Missing
MSconstraintcen2 has 11 (29.7%) missing values Missing
MSconstraintcen3 has 31 (83.8%) missing values Missing
MSconstraintcen4 has 29 (78.4%) missing values Missing
MSconstraintcen5 has 29 (78.4%) missing values Missing
MSconstraintinter1 has 11 (29.7%) missing values Missing
MSconstraintinter2 has 11 (29.7%) missing values Missing
MSconstraintinter3 has 35 (94.6%) missing values Missing
MSconstraintinter4[police_search] has 13 (35.1%) missing values Missing
MSconstraintinter4[seizure] has 13 (35.1%) missing values Missing
MSconstraintinter4[extortion] has 13 (35.1%) missing values Missing
MSconstraintinter4[violent_threat] has 13 (35.1%) missing values Missing
MSconstraintinter4[inspection_during_travel] has 13 (35.1%) missing values Missing
MSconstraintinter4[detention] has 13 (35.1%) missing values Missing
MSconstraintinter4[surveillance_signalling] has 12 (32.4%) missing values Missing
MSconstraintinter4[online_harassment] has 13 (35.1%) missing values Missing
MSconstraintinter4[entry_on_deny_lists] has 13 (35.1%) missing values Missing
MSconstraintinter4[exclusion_from_events] has 13 (35.1%) missing values Missing
MSconstraintinter4[public_defamation] has 13 (35.1%) missing values Missing
MSconstraintinter5[unsolicited_information] has 11 (29.7%) missing values Missing
MSconstraintinter5[invitations] has 11 (29.7%) missing values Missing
MSconstraintinter5[other] has 25 (67.6%) missing values Missing
MSconstraintinter5other has 34 (91.9%) missing values Missing
MSconstraintinter6[gender] has 13 (35.1%) missing values Missing
MSconstraintinter6[ethnicity] has 13 (35.1%) missing values Missing
MSconstraintinter6[political] has 13 (35.1%) missing values Missing
MSconstraintinter6[sexual] has 13 (35.1%) missing values Missing
MSconstraintinter6[religious] has 13 (35.1%) missing values Missing
MSconstraintinter6[other] has 21 (56.8%) missing values Missing
MSconstraintinter6other has 35 (94.6%) missing values Missing
MSconstraintself1[avoid] has 14 (37.8%) missing values Missing
MSconstraintself1[change_focus] has 14 (37.8%) missing values Missing
MSconstraintself1[change_timeline] has 14 (37.8%) missing values Missing
MSconstraintself1[abandon] has 14 (37.8%) missing values Missing
MSconstraintself1[leave_profession] has 15 (40.5%) missing values Missing
MSconstraintself1[other] has 26 (70.3%) missing values Missing
MSconstraintself1other has 35 (94.6%) missing values Missing
MSattitude1 has 12 (32.4%) missing values Missing
MSattitude2 has 12 (32.4%) missing values Missing
MSattitude4[1] has 13 (35.1%) missing values Missing
MSattitude4[2] has 13 (35.1%) missing values Missing
MSattitude4[3] has 14 (37.8%) missing values Missing
MSattitude4[4] has 21 (56.8%) missing values Missing
MSattitude4[5] has 23 (62.2%) missing values Missing
MSattitude4[6] has 28 (75.7%) missing values Missing
MSattitude5[1] has 14 (37.8%) missing values Missing
MSattitude5[2] has 15 (40.5%) missing values Missing
MSattitude5[3] has 18 (48.6%) missing values Missing
MSattitude5[4] has 23 (62.2%) missing values Missing
MSattitude5[5] has 27 (73.0%) missing values Missing
MSattitude5[6] has 28 (75.7%) missing values Missing
MSattitude6[1] has 15 (40.5%) missing values Missing
MSattitude6[2] has 15 (40.5%) missing values Missing
MSattitude6[3] has 22 (59.5%) missing values Missing
MSattitude6[4] has 27 (73.0%) missing values Missing
MSattitude6[5] has 29 (78.4%) missing values Missing
MSattitude6[6] has 29 (78.4%) missing values Missing
MSgender has 13 (35.1%) missing values Missing
MShr2 has 2 (5.4%) zeros Zeros
MSsoc1 has 2 (5.4%) zeros Zeros
MSsoc2 has 3 (8.1%) zeros Zeros

Reproduction

Analysis started2021-07-28 08:40:19.738910
Analysis finished2021-07-28 08:40:20.245114
Duration0.51 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

country
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size424.0 B
Germany
21 
United Kingdom
9 
France
7 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnited Kingdom
2nd rowUnited Kingdom
3rd rowUnited Kingdom
4th rowUnited Kingdom
5th rowUnited Kingdom

Common Values

ValueCountFrequency (%)
Germany21
56.8%
United Kingdom9
24.3%
France7
 
18.9%

Pie chart

2021-07-28T10:40:20.387233image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

lastpage
Real number (ℝ≥0)

Distinct10
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.75675676
Minimum5
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size424.0 B
2021-07-28T10:40:20.456122image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q110
median18
Q318
95-th percentile18
Maximum18
Range13
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.96882171
Coefficient of variation (CV)0.3367150243
Kurtosis-0.7767636591
Mean14.75675676
Median Absolute Deviation (MAD)0
Skewness-1.040275212
Sum546
Variance24.68918919
MonotonicityNot monotonic
2021-07-28T10:40:20.559331image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1824
64.9%
64
 
10.8%
72
 
5.4%
91
 
2.7%
81
 
2.7%
171
 
2.7%
51
 
2.7%
121
 
2.7%
151
 
2.7%
101
 
2.7%
ValueCountFrequency (%)
51
 
2.7%
64
10.8%
72
5.4%
81
 
2.7%
91
 
2.7%
ValueCountFrequency (%)
1824
64.9%
171
 
2.7%
151
 
2.7%
121
 
2.7%
101
 
2.7%

MShr1
Categorical

MISSING

Distinct4
Distinct (%)11.4%
Missing2
Missing (%)5.4%
Memory size424.0 B
Full-time
25 
Freelance
7 
Part-time (>50%)
 
2
Other
 
1

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st rowPart-time (>50%)
2nd rowFull-time
3rd rowFreelance
4th rowFull-time
5th rowFull-time

Common Values

ValueCountFrequency (%)
Full-time25
67.6%
Freelance7
 
18.9%
Part-time (>50%)2
 
5.4%
Other1
 
2.7%
(Missing)2
 
5.4%

Pie chart

2021-07-28T10:40:20.747800image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MShr2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)33.3%
Missing4
Missing (%)10.8%
Infinite0
Infinite (%)0.0%
Mean4.757575758
Minimum0
Maximum21
Zeros2
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size424.0 B
2021-07-28T10:40:20.827233image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q12
median4
Q36
95-th percentile12
Maximum21
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.555424672
Coefficient of variation (CV)0.9575096444
Kurtosis4.234818574
Mean4.757575758
Median Absolute Deviation (MAD)2
Skewness1.869074341
Sum157
Variance20.75189394
MonotonicityNot monotonic
2021-07-28T10:40:20.916539image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
27
18.9%
15
13.5%
55
13.5%
104
10.8%
43
8.1%
32
 
5.4%
02
 
5.4%
62
 
5.4%
151
 
2.7%
211
 
2.7%
(Missing)4
10.8%
ValueCountFrequency (%)
02
 
5.4%
15
13.5%
27
18.9%
32
 
5.4%
43
8.1%
ValueCountFrequency (%)
211
 
2.7%
151
 
2.7%
104
10.8%
71
 
2.7%
62
5.4%

MShr3[weekly_newspaper]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
32 
True
5 
ValueCountFrequency (%)
False32
86.5%
True5
 
13.5%
2021-07-28T10:40:20.984275image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MShr3[magazine]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
33 
True
4 
ValueCountFrequency (%)
False33
89.2%
True4
 
10.8%
2021-07-28T10:40:21.023465image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MShr3[tv]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
33 
True
4 
ValueCountFrequency (%)
False33
89.2%
True4
 
10.8%
2021-07-28T10:40:21.170337image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MShr3[radio]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
32 
True
5 
ValueCountFrequency (%)
False32
86.5%
True5
 
13.5%
2021-07-28T10:40:21.215518image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MShr3[news_agency]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
36 
True
 
1
ValueCountFrequency (%)
False36
97.3%
True1
 
2.7%
2021-07-28T10:40:21.257815image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MShr3[online_stand_alone]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
19 
True
18 
ValueCountFrequency (%)
False19
51.4%
True18
48.6%
2021-07-28T10:40:21.299323image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MShr3[online_of_offline]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
33 
True
4 
ValueCountFrequency (%)
False33
89.2%
True4
 
10.8%
2021-07-28T10:40:21.340169image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MShr4
Categorical

MISSING

Distinct5
Distinct (%)14.7%
Missing3
Missing (%)8.1%
Memory size424.0 B
I had some time
13 
I had enough time
10 
I had very little time
6 
I had no time
3 
I don't know
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI had enough time
2nd rowI had very little time
3rd rowI had some time
4th rowI had very little time
5th rowI don't know

Common Values

ValueCountFrequency (%)
I had some time13
35.1%
I had enough time10
27.0%
I had very little time6
16.2%
I had no time3
 
8.1%
I don't know2
 
5.4%
(Missing)3
 
8.1%

Pie chart

2021-07-28T10:40:21.495573image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSexpertise1
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)46.9%
Missing5
Missing (%)13.5%
Infinite0
Infinite (%)0.0%
Mean11.09375
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size424.0 B
2021-07-28T10:40:21.585099image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median10
Q314.25
95-th percentile25.6
Maximum35
Range34
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation7.944807089
Coefficient of variation (CV)0.7161516249
Kurtosis1.88497384
Mean11.09375
Median Absolute Deviation (MAD)5
Skewness1.307839913
Sum355
Variance63.11995968
MonotonicityNot monotonic
2021-07-28T10:40:21.690866image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
107
18.9%
23
8.1%
203
8.1%
73
8.1%
53
8.1%
42
 
5.4%
152
 
5.4%
122
 
5.4%
11
 
2.7%
351
 
2.7%
Other values (5)5
13.5%
(Missing)5
13.5%
ValueCountFrequency (%)
11
 
2.7%
23
8.1%
42
5.4%
53
8.1%
73
8.1%
ValueCountFrequency (%)
351
 
2.7%
301
 
2.7%
221
 
2.7%
203
8.1%
152
5.4%

MSexpertise2
Categorical

MISSING

Distinct5
Distinct (%)14.7%
Missing3
Missing (%)8.1%
Memory size424.0 B
Some knowledge
11 
Advanced knowledge
11 
Basic knowledge
7 
Expert knowledge
3 
No knowledge
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSome knowledge
2nd rowBasic knowledge
3rd rowSome knowledge
4th rowBasic knowledge
5th rowBasic knowledge

Common Values

ValueCountFrequency (%)
Some knowledge11
29.7%
Advanced knowledge11
29.7%
Basic knowledge7
18.9%
Expert knowledge3
 
8.1%
No knowledge2
 
5.4%
(Missing)3
 
8.1%

Pie chart

2021-07-28T10:40:21.884060image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSexpertise3
Categorical

MISSING

Distinct5
Distinct (%)14.7%
Missing3
Missing (%)8.1%
Memory size424.0 B
Some knowledge
11 
Advanced knowledge
11 
Basic knowledge
6 
Expert knowledge
5 
No knowledge
 
1

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st rowSome knowledge
2nd rowBasic knowledge
3rd rowBasic knowledge
4th rowSome knowledge
5th rowBasic knowledge

Common Values

ValueCountFrequency (%)
Some knowledge11
29.7%
Advanced knowledge11
29.7%
Basic knowledge6
16.2%
Expert knowledge5
13.5%
No knowledge1
 
2.7%
(Missing)3
 
8.1%

Pie chart

2021-07-28T10:40:22.059082image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSexpertise4
Categorical

MISSING

Distinct5
Distinct (%)14.7%
Missing3
Missing (%)8.1%
Memory size424.0 B
Some knowledge
14 
Basic knowledge
9 
Advanced knowledge
9 
No knowledge
 
1
Expert knowledge
 
1

Unique

Unique2 ?
Unique (%)5.9%

Sample

1st rowSome knowledge
2nd rowSome knowledge
3rd rowBasic knowledge
4th rowBasic knowledge
5th rowBasic knowledge

Common Values

ValueCountFrequency (%)
Some knowledge14
37.8%
Basic knowledge9
24.3%
Advanced knowledge9
24.3%
No knowledge1
 
2.7%
Expert knowledge1
 
2.7%
(Missing)3
 
8.1%

Pie chart

2021-07-28T10:40:22.240099image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfinance1
Categorical

MISSING

Distinct6
Distinct (%)17.6%
Missing3
Missing (%)8.1%
Memory size424.0 B
Some funding
10 
Sufficient funding
7 
No funding
5 
Little funding
4 
I don't know
4 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSome funding
2nd rowLittle funding
3rd rowNo funding
4th rowSome funding
5th rowI don't know

Common Values

ValueCountFrequency (%)
Some funding10
27.0%
Sufficient funding7
18.9%
No funding5
13.5%
Little funding4
 
10.8%
I don't know4
 
10.8%
A great deal of funding4
 
10.8%
(Missing)3
 
8.1%

Pie chart

2021-07-28T10:40:22.417632image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfinance2
Categorical

MISSING

Distinct4
Distinct (%)11.8%
Missing3
Missing (%)8.1%
Memory size424.0 B
No
15 
I don't know
11 
Yes
7 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st rowI don't know
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No15
40.5%
I don't know11
29.7%
Yes7
18.9%
I prefer not to say1
 
2.7%
(Missing)3
 
8.1%

Pie chart

2021-07-28T10:40:22.594491image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfoi1
Categorical

MISSING

Distinct3
Distinct (%)8.8%
Missing3
Missing (%)8.1%
Memory size424.0 B
No
21 
Yes
12 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st rowNo
2nd rowNo
3rd rowYes
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No21
56.8%
Yes12
32.4%
I prefer not to say1
 
2.7%
(Missing)3
 
8.1%

Pie chart

2021-07-28T10:40:22.762174image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfoi2
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)41.7%
Missing25
Missing (%)67.6%
Infinite0
Infinite (%)0.0%
Mean7.5
Minimum2
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size424.0 B
2021-07-28T10:40:22.829728image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q312.5
95-th percentile20
Maximum20
Range18
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation7.856670588
Coefficient of variation (CV)1.047556078
Kurtosis-0.7733990397
Mean7.5
Median Absolute Deviation (MAD)1
Skewness1.083776483
Sum90
Variance61.72727273
MonotonicityNot monotonic
2021-07-28T10:40:22.924447image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
25
 
13.5%
203
 
8.1%
32
 
5.4%
101
 
2.7%
41
 
2.7%
(Missing)25
67.6%
ValueCountFrequency (%)
25
13.5%
32
 
5.4%
41
 
2.7%
101
 
2.7%
203
8.1%
ValueCountFrequency (%)
203
8.1%
101
 
2.7%
41
 
2.7%
32
 
5.4%
25
13.5%

MSfoi3
Categorical

MISSING

Distinct3
Distinct (%)25.0%
Missing25
Missing (%)67.6%
Memory size424.0 B
No, usually longer than 30 days
9 
Yes, within 30 days
2 
Never
1 

Unique

Unique1 ?
Unique (%)8.3%

Sample

1st rowYes, within 30 days
2nd rowNo, usually longer than 30 days
3rd rowNo, usually longer than 30 days
4th rowNo, usually longer than 30 days
5th rowNo, usually longer than 30 days

Common Values

ValueCountFrequency (%)
No, usually longer than 30 days9
 
24.3%
Yes, within 30 days2
 
5.4%
Never1
 
2.7%
(Missing)25
67.6%

Pie chart

2021-07-28T10:40:23.245475image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfoi4
Categorical

MISSING

Distinct3
Distinct (%)25.0%
Missing25
Missing (%)67.6%
Memory size424.0 B
Helpful in parts
7 
Not helpful at all
4 
Very helpful
1 

Unique

Unique1 ?
Unique (%)8.3%

Sample

1st rowHelpful in parts
2nd rowVery helpful
3rd rowNot helpful at all
4th rowHelpful in parts
5th rowNot helpful at all

Common Values

ValueCountFrequency (%)
Helpful in parts7
 
18.9%
Not helpful at all4
 
10.8%
Very helpful1
 
2.7%
(Missing)25
67.6%

Pie chart

2021-07-28T10:40:23.401484image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfoi5[not_aware]
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
37 
ValueCountFrequency (%)
False37
100.0%
2021-07-28T10:40:23.448298image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfoi5[not_covered]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
27 
True
10 
ValueCountFrequency (%)
False27
73.0%
True10
 
27.0%
2021-07-28T10:40:23.482281image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfoi5[too_expensive]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
35 
True
 
2
ValueCountFrequency (%)
False35
94.6%
True2
 
5.4%
2021-07-28T10:40:23.520952image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfoi5[too_time_consuming]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
28 
True
9 
ValueCountFrequency (%)
False28
75.7%
True9
 
24.3%
2021-07-28T10:40:23.559254image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfoi5[afraid_of_data_destruction]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
36 
True
 
1
ValueCountFrequency (%)
False36
97.3%
True1
 
2.7%
2021-07-28T10:40:23.597450image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfoi5[afraid_of_discrimination]
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
37 
ValueCountFrequency (%)
False37
100.0%
2021-07-28T10:40:23.635241image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfoi5[other]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
33 
True
4 
ValueCountFrequency (%)
False33
89.2%
True4
 
10.8%
2021-07-28T10:40:23.671260image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfoi5other
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
33 
True
4 
ValueCountFrequency (%)
False33
89.2%
True4
 
10.8%
2021-07-28T10:40:23.712098image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfoi5[dont_know]
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
37 
ValueCountFrequency (%)
False37
100.0%
2021-07-28T10:40:23.750884image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSfoi5[prefer_not_to_say]
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
37 
ValueCountFrequency (%)
False37
100.0%
2021-07-28T10:40:23.783103image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSapp1
Categorical

MISSING

Distinct3
Distinct (%)9.1%
Missing4
Missing (%)10.8%
Memory size424.0 B
I don't know
12 
Yes
11 
No
10 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowI don't know
3rd rowNo
4th rowI don't know
5th rowI don't know

Common Values

ValueCountFrequency (%)
I don't know12
32.4%
Yes11
29.7%
No10
27.0%
(Missing)4
 
10.8%

Pie chart

2021-07-28T10:40:23.934106image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSapp2
Categorical

MISSING

Distinct3
Distinct (%)9.1%
Missing4
Missing (%)10.8%
Memory size424.0 B
I don't know
17 
No
13 
Yes
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI don't know
2nd rowI don't know
3rd rowI don't know
4th rowNo
5th rowI don't know

Common Values

ValueCountFrequency (%)
I don't know17
45.9%
No13
35.1%
Yes3
 
8.1%
(Missing)4
 
10.8%

Pie chart

2021-07-28T10:40:24.099025image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct16
Distinct (%)55.2%
Missing8
Missing (%)21.6%
Infinite0
Infinite (%)0.0%
Mean13.37931034
Minimum0
Maximum100
Zeros2
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size424.0 B
2021-07-28T10:40:24.175258image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q14
median10
Q312
95-th percentile36
Maximum100
Range100
Interquartile range (IQR)8

Descriptive statistics

Standard deviation19.19898396
Coefficient of variation (CV)1.434975606
Kurtosis15.25994205
Mean13.37931034
Median Absolute Deviation (MAD)5
Skewness3.59381458
Sum388
Variance368.6009852
MonotonicityNot monotonic
2021-07-28T10:40:24.281384image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
107
18.9%
53
 
8.1%
32
 
5.4%
22
 
5.4%
02
 
5.4%
302
 
5.4%
82
 
5.4%
121
 
2.7%
191
 
2.7%
151
 
2.7%
Other values (6)6
16.2%
(Missing)8
21.6%
ValueCountFrequency (%)
02
5.4%
11
2.7%
22
5.4%
32
5.4%
41
2.7%
ValueCountFrequency (%)
1001
2.7%
401
2.7%
302
5.4%
201
2.7%
191
2.7%

MSsoc2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct13
Distinct (%)46.4%
Missing9
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean7.857142857
Minimum0
Maximum40
Zeros3
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size424.0 B
2021-07-28T10:40:24.385434image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q310
95-th percentile28.45
Maximum40
Range40
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.625253381
Coefficient of variation (CV)1.225032248
Kurtosis4.826741508
Mean7.857142857
Median Absolute Deviation (MAD)4
Skewness2.149389174
Sum220
Variance92.64550265
MonotonicityNot monotonic
2021-07-28T10:40:24.488452image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
57
18.9%
15
13.5%
03
 
8.1%
102
 
5.4%
32
 
5.4%
152
 
5.4%
81
 
2.7%
201
 
2.7%
91
 
2.7%
401
 
2.7%
Other values (3)3
 
8.1%
(Missing)9
24.3%
ValueCountFrequency (%)
03
8.1%
15
13.5%
21
 
2.7%
32
 
5.4%
57
18.9%
ValueCountFrequency (%)
401
2.7%
331
2.7%
201
2.7%
152
5.4%
121
2.7%

MSsoc4
Categorical

MISSING

Distinct5
Distinct (%)17.2%
Missing8
Missing (%)21.6%
Memory size424.0 B
Regularly
10 
Somewhat regularly
9 
Rarely or never
5 
Sometimes
3 
Very regularly
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVery regularly
2nd rowRarely or never
3rd rowSometimes
4th rowRarely or never
5th rowRarely or never

Common Values

ValueCountFrequency (%)
Regularly10
27.0%
Somewhat regularly9
24.3%
Rarely or never5
13.5%
Sometimes3
 
8.1%
Very regularly2
 
5.4%
(Missing)8
21.6%

Pie chart

2021-07-28T10:40:24.697601image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc5[follow_up_on_other_media]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
22 
True
15 
ValueCountFrequency (%)
False22
59.5%
True15
40.5%
2021-07-28T10:40:24.758826image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc5[statements_government]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
27 
True
10 
ValueCountFrequency (%)
False27
73.0%
True10
 
27.0%
2021-07-28T10:40:24.916193image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc5[oversight_reports]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
21 
True
16 
ValueCountFrequency (%)
False21
56.8%
True16
43.2%
2021-07-28T10:40:24.960877image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc5[leaks]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
20 
True
17 
ValueCountFrequency (%)
False20
54.1%
True17
45.9%
2021-07-28T10:40:25.002312image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc5[own_investigations]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
True
21 
False
16 
ValueCountFrequency (%)
True21
56.8%
False16
43.2%
2021-07-28T10:40:25.042363image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc5[dont_know]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
36 
True
 
1
ValueCountFrequency (%)
False36
97.3%
True1
 
2.7%
2021-07-28T10:40:25.081822image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc5[prefer_not_to_say]
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
37 
ValueCountFrequency (%)
False37
100.0%
2021-07-28T10:40:25.118861image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc5[other]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
29 
True
8 
ValueCountFrequency (%)
False29
78.4%
True8
 
21.6%
2021-07-28T10:40:25.152229image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc5other
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
29 
True
8 
ValueCountFrequency (%)
False29
78.4%
True8
 
21.6%
2021-07-28T10:40:25.190783image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc6[national_security_risks]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
26 
True
11 
ValueCountFrequency (%)
False26
70.3%
True11
29.7%
2021-07-28T10:40:25.229285image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc6[intelligence_success]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
31 
True
6 
ValueCountFrequency (%)
False31
83.8%
True6
 
16.2%
2021-07-28T10:40:25.269453image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc6[intelligence_misconduct]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
True
20 
False
17 
ValueCountFrequency (%)
True20
54.1%
False17
45.9%
2021-07-28T10:40:25.311318image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc6[oversight_interventions]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
24 
True
13 
ValueCountFrequency (%)
False24
64.9%
True13
35.1%
2021-07-28T10:40:25.351790image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc6[oversight_failures]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
20 
True
17 
ValueCountFrequency (%)
False20
54.1%
True17
45.9%
2021-07-28T10:40:25.391639image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc6[policy_debates_leg_reforms]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
True
23 
False
14 
ValueCountFrequency (%)
True23
62.2%
False14
37.8%
2021-07-28T10:40:25.431416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc6[other]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
33 
True
4 
ValueCountFrequency (%)
False33
89.2%
True4
 
10.8%
2021-07-28T10:40:25.471259image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSsoc6other
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
33 
True
4 
ValueCountFrequency (%)
False33
89.2%
True4
 
10.8%
2021-07-28T10:40:25.511265image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MStrans1
Categorical

MISSING

Distinct5
Distinct (%)17.2%
Missing8
Missing (%)21.6%
Memory size424.0 B
Often
11 
Sometimes
10 
Rarely
6 
Always
 
1
I don't know
 
1

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st rowAlways
2nd rowSometimes
3rd rowOften
4th rowRarely
5th rowI don't know

Common Values

ValueCountFrequency (%)
Often11
29.7%
Sometimes10
27.0%
Rarely6
16.2%
Always1
 
2.7%
I don't know1
 
2.7%
(Missing)8
21.6%

Pie chart

2021-07-28T10:40:25.662141image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MStrans2
Categorical

MISSING

Distinct6
Distinct (%)20.7%
Missing8
Missing (%)21.6%
Memory size424.0 B
Rarely (25% of the time)
10 
Sometimes (50% of the time)
8 
Never
8 
Often (75% of the time)
 
1
I don't know
 
1

Unique

Unique3 ?
Unique (%)10.3%

Sample

1st rowOften (75% of the time)
2nd rowSometimes (50% of the time)
3rd rowNever
4th rowSometimes (50% of the time)
5th rowI don't know

Common Values

ValueCountFrequency (%)
Rarely (25% of the time)10
27.0%
Sometimes (50% of the time)8
21.6%
Never8
21.6%
Often (75% of the time)1
 
2.7%
I don't know1
 
2.7%
I prefer not to say1
 
2.7%
(Missing)8
21.6%

Pie chart

2021-07-28T10:40:25.828399image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MStrans3
Categorical

MISSING

Distinct2
Distinct (%)15.4%
Missing24
Missing (%)64.9%
Memory size424.0 B
No
8 
Yes
5 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowNo
3rd rowNo
4th rowYes
5th rowNo

Common Values

ValueCountFrequency (%)
No8
 
21.6%
Yes5
 
13.5%
(Missing)24
64.9%

Pie chart

2021-07-28T10:40:26.003795image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact1[above_avg_comments]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
34 
True
 
3
ValueCountFrequency (%)
False34
91.9%
True3
 
8.1%
2021-07-28T10:40:26.043624image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact1[above_avg_shares]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
29 
True
8 
ValueCountFrequency (%)
False29
78.4%
True8
 
21.6%
2021-07-28T10:40:26.084294image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact1[above_avg_readers]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
34 
True
 
3
ValueCountFrequency (%)
False34
91.9%
True3
 
8.1%
2021-07-28T10:40:26.124523image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact1[letters_to_the_editor]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
32 
True
5 
ValueCountFrequency (%)
False32
86.5%
True5
 
13.5%
2021-07-28T10:40:26.164337image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact1[follow_up_by_other_media]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
22 
True
15 
ValueCountFrequency (%)
False22
59.5%
True15
40.5%
2021-07-28T10:40:26.203300image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact1[other]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
33 
True
4 
ValueCountFrequency (%)
False33
89.2%
True4
 
10.8%
2021-07-28T10:40:26.362759image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact1other
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
33 
True
4 
ValueCountFrequency (%)
False33
89.2%
True4
 
10.8%
2021-07-28T10:40:26.407521image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact1[none_of_the_above]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
30 
True
7 
ValueCountFrequency (%)
False30
81.1%
True7
 
18.9%
2021-07-28T10:40:26.448471image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact1[dont_know]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
35 
True
 
2
ValueCountFrequency (%)
False35
94.6%
True2
 
5.4%
2021-07-28T10:40:26.487694image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact1[prefer_not_to_say]
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
37 
ValueCountFrequency (%)
False37
100.0%
2021-07-28T10:40:26.524903image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact2[diplomatic_pressure]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
34 
True
 
3
ValueCountFrequency (%)
False34
91.9%
True3
 
8.1%
2021-07-28T10:40:26.558227image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact2[civic_action]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
27 
True
10 
ValueCountFrequency (%)
False27
73.0%
True10
 
27.0%
2021-07-28T10:40:26.596215image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact2[conversations_with_government]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
32 
True
5 
ValueCountFrequency (%)
False32
86.5%
True5
 
13.5%
2021-07-28T10:40:26.634401image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact2[official_inquiries]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
28 
True
9 
ValueCountFrequency (%)
False28
75.7%
True9
 
24.3%
2021-07-28T10:40:26.673519image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact2[government_statements]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
31 
True
6 
ValueCountFrequency (%)
False31
83.8%
True6
 
16.2%
2021-07-28T10:40:26.712961image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact2[conversations_with_intelligence]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
30 
True
7 
ValueCountFrequency (%)
False30
81.1%
True7
 
18.9%
2021-07-28T10:40:26.753144image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact2[dont_know]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
34 
True
 
3
ValueCountFrequency (%)
False34
91.9%
True3
 
8.1%
2021-07-28T10:40:26.792129image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact2[prefer_not_to_say]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
35 
True
 
2
ValueCountFrequency (%)
False35
94.6%
True2
 
5.4%
2021-07-28T10:40:26.830886image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact2[other]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
32 
True
5 
ValueCountFrequency (%)
False32
86.5%
True5
 
13.5%
2021-07-28T10:40:26.869475image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact2other
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
33 
True
4 
ValueCountFrequency (%)
False33
89.2%
True4
 
10.8%
2021-07-28T10:40:26.908236image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSimpact2[none_of_the_above]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
31 
True
6 
ValueCountFrequency (%)
False31
83.8%
True6
 
16.2%
2021-07-28T10:40:26.947074image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectops1[sectraining]
Categorical

MISSING

Distinct3
Distinct (%)11.5%
Missing11
Missing (%)29.7%
Memory size424.0 B
Very important
19 
Important
6 
Slightly important
 
1

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st rowVery important
2nd rowImportant
3rd rowVery important
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important19
51.4%
Important6
 
16.2%
Slightly important1
 
2.7%
(Missing)11
29.7%

Pie chart

2021-07-28T10:40:27.101870image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectops1[secure_drop]
Categorical

MISSING

Distinct3
Distinct (%)12.5%
Missing13
Missing (%)35.1%
Memory size424.0 B
Important
14 
Very important
9 
Slightly important
 
1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st rowImportant
2nd rowImportant
3rd rowImportant
4th rowImportant
5th rowVery important

Common Values

ValueCountFrequency (%)
Important14
37.8%
Very important9
24.3%
Slightly important1
 
2.7%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:27.257325image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectops1[e2e]
Categorical

MISSING

Distinct2
Distinct (%)7.4%
Missing10
Missing (%)27.0%
Memory size424.0 B
Very important
26 
Slightly important
 
1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st rowVery important
2nd rowVery important
3rd rowVery important
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important26
70.3%
Slightly important1
 
2.7%
(Missing)10
 
27.0%

Pie chart

2021-07-28T10:40:27.407524image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectops2
Categorical

MISSING

Distinct3
Distinct (%)11.5%
Missing11
Missing (%)29.7%
Memory size424.0 B
No
15 
Yes
8 
I prefer not to say
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowYes
5th rowNo

Common Values

ValueCountFrequency (%)
No15
40.5%
Yes8
21.6%
I prefer not to say3
 
8.1%
(Missing)11
29.7%

Pie chart

2021-07-28T10:40:27.552872image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectops3[encrypted_email]
Categorical

MISSING

Distinct5
Distinct (%)18.5%
Missing10
Missing (%)27.0%
Memory size424.0 B
Very important
13 
Somewhat important
5 
Slightly important
4 
Important
4 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st rowVery important
2nd rowSomewhat important
3rd rowSlightly important
4th rowImportant
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important13
35.1%
Somewhat important5
 
13.5%
Slightly important4
 
10.8%
Important4
 
10.8%
I prefer not to say1
 
2.7%
(Missing)10
27.0%

Pie chart

2021-07-28T10:40:27.710370image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectops3[vpn]
Categorical

MISSING

Distinct6
Distinct (%)22.2%
Missing10
Missing (%)27.0%
Memory size424.0 B
Important
9 
Very important
8 
Slightly important
5 
Somewhat important
3 
Not important at all
1 

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st rowVery important
2nd rowSlightly important
3rd rowNot important at all
4th rowImportant
5th rowSomewhat important

Common Values

ValueCountFrequency (%)
Important9
24.3%
Very important8
21.6%
Slightly important5
13.5%
Somewhat important3
 
8.1%
Not important at all1
 
2.7%
I prefer not to say1
 
2.7%
(Missing)10
27.0%

Pie chart

2021-07-28T10:40:28.023892image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectops3[tor]
Categorical

MISSING

Distinct6
Distinct (%)23.1%
Missing11
Missing (%)29.7%
Memory size424.0 B
Very important
8 
Slightly important
7 
Somewhat important
4 
Important
4 
Not important at all
2 

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st rowVery important
2nd rowSlightly important
3rd rowNot important at all
4th rowSlightly important
5th rowSomewhat important

Common Values

ValueCountFrequency (%)
Very important8
21.6%
Slightly important7
18.9%
Somewhat important4
 
10.8%
Important4
 
10.8%
Not important at all2
 
5.4%
I prefer not to say1
 
2.7%
(Missing)11
29.7%

Pie chart

2021-07-28T10:40:28.223741image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectops3[e2e_chat]
Categorical

MISSING

Distinct3
Distinct (%)11.5%
Missing11
Missing (%)29.7%
Memory size424.0 B
Very important
21 
Important
4 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st rowVery important
2nd rowImportant
3rd rowVery important
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important21
56.8%
Important4
 
10.8%
I prefer not to say1
 
2.7%
(Missing)11
29.7%

Pie chart

2021-07-28T10:40:28.417618image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectops3[encrypted_hardware]
Categorical

MISSING

Distinct4
Distinct (%)14.8%
Missing10
Missing (%)27.0%
Memory size424.0 B
Very important
16 
Important
7 
Slightly important
3 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st rowVery important
2nd rowSlightly important
3rd rowSlightly important
4th rowImportant
5th rowImportant

Common Values

ValueCountFrequency (%)
Very important16
43.2%
Important7
18.9%
Slightly important3
 
8.1%
I prefer not to say1
 
2.7%
(Missing)10
27.0%

Pie chart

2021-07-28T10:40:28.589942image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectops3[2fa]
Categorical

MISSING

Distinct4
Distinct (%)14.8%
Missing10
Missing (%)27.0%
Memory size424.0 B
Very important
17 
Important
6 
Somewhat important
3 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st rowVery important
2nd rowImportant
3rd rowSomewhat important
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important17
45.9%
Important6
 
16.2%
Somewhat important3
 
8.1%
I prefer not to say1
 
2.7%
(Missing)10
27.0%

Pie chart

2021-07-28T10:40:28.767223image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectops3[secure_drop]
Categorical

MISSING

Distinct7
Distinct (%)28.0%
Missing12
Missing (%)32.4%
Memory size424.0 B
Somewhat important
8 
Important
5 
Not important at all
4 
Slightly important
4 
Very important
2 
Other values (2)
2 

Unique

Unique2 ?
Unique (%)8.0%

Sample

1st rowNot important at all
2nd rowNot important at all
3rd rowImportant
4th rowImportant
5th rowSlightly important

Common Values

ValueCountFrequency (%)
Somewhat important8
21.6%
Important5
13.5%
Not important at all4
 
10.8%
Slightly important4
 
10.8%
Very important2
 
5.4%
I prefer not to say1
 
2.7%
I don't know1
 
2.7%
(Missing)12
32.4%

Pie chart

2021-07-28T10:40:28.953857image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectops3[other]
Categorical

MISSING

Distinct4
Distinct (%)33.3%
Missing25
Missing (%)67.6%
Memory size424.0 B
I don't know
7 
I prefer not to say
2 
Very important
2 
Not important at all
1 

Unique

Unique1 ?
Unique (%)8.3%

Sample

1st rowI don't know
2nd rowI don't know
3rd rowI don't know
4th rowI prefer not to say
5th rowVery important

Common Values

ValueCountFrequency (%)
I don't know7
 
18.9%
I prefer not to say2
 
5.4%
Very important2
 
5.4%
Not important at all1
 
2.7%
(Missing)25
67.6%

Pie chart

2021-07-28T10:40:29.146833image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectops3other
Categorical

MISSING

Distinct2
Distinct (%)100.0%
Missing35
Missing (%)94.6%
Memory size424.0 B
Persönliche Treffen / Austausch
1 
Vous oubliez l'importance de l'OPSEC : les questions de sécurité (informatique, mais pas seulement) ne sauraient se résumer à nos seules communications et activités "en ligne"
1 

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowPersönliche Treffen / Austausch
2nd rowVous oubliez l'importance de l'OPSEC : les questions de sécurité (informatique, mais pas seulement) ne sauraient se résumer à nos seules communications et activités "en ligne"

Common Values

ValueCountFrequency (%)
Persönliche Treffen / Austausch 1
 
2.7%
Vous oubliez l'importance de l'OPSEC : les questions de sécurité (informatique, mais pas seulement) ne sauraient se résumer à nos seules communications et activités "en ligne"1
 
2.7%
(Missing)35
94.6%

Pie chart

2021-07-28T10:40:29.308710image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectops4
Categorical

MISSING

Distinct4
Distinct (%)14.8%
Missing10
Missing (%)27.0%
Memory size424.0 B
Technological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguards
18 
Under the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handle
7 
I have no confidence in the protection offered by <br>technological tools
 
1
I try to avoid technology-based communication whenever <br>possible when I work on intelligence-related issues
 
1

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st rowUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handle
2nd rowUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handle
3rd rowI have no confidence in the protection offered by <br>technological tools
4th rowUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handle
5th rowTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguards

Common Values

ValueCountFrequency (%)
Technological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguards18
48.6%
Under the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handle7
 
18.9%
I have no confidence in the protection offered by <br>technological tools1
 
2.7%
I try to avoid technology-based communication whenever <br>possible when I work on intelligence-related issues1
 
2.7%
(Missing)10
27.0%

Pie chart

2021-07-28T10:40:29.488379image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectleg1
Categorical

MISSING

Distinct6
Distinct (%)22.2%
Missing10
Missing (%)27.0%
Memory size424.0 B
Sometimes
9 
Always
8 
Rarely
4 
Often
3 
I don't know
2 

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st rowAlways
2nd rowSometimes
3rd rowI don't know
4th rowRarely
5th rowSometimes

Common Values

ValueCountFrequency (%)
Sometimes9
24.3%
Always8
21.6%
Rarely4
 
10.8%
Often3
 
8.1%
I don't know2
 
5.4%
Never1
 
2.7%
(Missing)10
27.0%

Pie chart

2021-07-28T10:40:29.720515image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectleg2
Categorical

MISSING

Distinct4
Distinct (%)14.8%
Missing10
Missing (%)27.0%
Memory size424.0 B
No
13 
Yes
7 
I don't know
4 
I prefer not to say
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI don't know
2nd rowNo
3rd rowI don't know
4th rowYes
5th rowNo

Common Values

ValueCountFrequency (%)
No13
35.1%
Yes7
18.9%
I don't know4
 
10.8%
I prefer not to say3
 
8.1%
(Missing)10
27.0%

Pie chart

2021-07-28T10:40:29.953695image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectleg3[free_counsel]
Categorical

MISSING

Distinct4
Distinct (%)15.4%
Missing11
Missing (%)29.7%
Memory size424.0 B
Yes
13 
I don't know
7 
No
5 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st rowI don't know
2nd rowYes
3rd rowI don't know
4th rowYes
5th rowI prefer not to say

Common Values

ValueCountFrequency (%)
Yes13
35.1%
I don't know7
18.9%
No5
 
13.5%
I prefer not to say1
 
2.7%
(Missing)11
29.7%

Pie chart

2021-07-28T10:40:30.238323image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectleg3[cost_insurance]
Categorical

MISSING

Distinct4
Distinct (%)15.4%
Missing11
Missing (%)29.7%
Memory size424.0 B
I don't know
13 
Yes
7 
No
5 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st rowI don't know
2nd rowI don't know
3rd rowI don't know
4th rowI don't know
5th rowI prefer not to say

Common Values

ValueCountFrequency (%)
I don't know13
35.1%
Yes7
18.9%
No5
 
13.5%
I prefer not to say1
 
2.7%
(Missing)11
29.7%

Pie chart

2021-07-28T10:40:30.424186image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectleg3[other]
Categorical

MISSING

Distinct3
Distinct (%)27.3%
Missing26
Missing (%)70.3%
Memory size424.0 B
I don't know
8 
Yes
2 
I prefer not to say
1 

Unique

Unique1 ?
Unique (%)9.1%

Sample

1st rowI don't know
2nd rowI prefer not to say
3rd rowI don't know
4th rowI don't know
5th rowI don't know

Common Values

ValueCountFrequency (%)
I don't know8
 
21.6%
Yes2
 
5.4%
I prefer not to say1
 
2.7%
(Missing)26
70.3%

Pie chart

2021-07-28T10:40:30.639712image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectleg4[free_counsel]
Categorical

MISSING

Distinct4
Distinct (%)15.4%
Missing11
Missing (%)29.7%
Memory size424.0 B
No
14 
Yes
9 
I prefer not to say
2 
I don't know
 
1

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st rowNo
2nd rowYes
3rd rowNo
4th rowI prefer not to say
5th rowI prefer not to say

Common Values

ValueCountFrequency (%)
No14
37.8%
Yes9
24.3%
I prefer not to say2
 
5.4%
I don't know1
 
2.7%
(Missing)11
29.7%

Pie chart

2021-07-28T10:40:30.836812image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectleg4[cost_insurance]
Categorical

MISSING

Distinct4
Distinct (%)16.0%
Missing12
Missing (%)32.4%
Memory size424.0 B
No
21 
I prefer not to say
 
2
Yes
 
1
I don't know
 
1

Unique

Unique2 ?
Unique (%)8.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowI prefer not to say
5th rowI prefer not to say

Common Values

ValueCountFrequency (%)
No21
56.8%
I prefer not to say2
 
5.4%
Yes1
 
2.7%
I don't know1
 
2.7%
(Missing)12
32.4%

Pie chart

2021-07-28T10:40:31.014837image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectleg4[other]
Categorical

MISSING

Distinct4
Distinct (%)30.8%
Missing24
Missing (%)64.9%
Memory size424.0 B
No
9 
I don't know
2 
I prefer not to say
1 
Yes
1 

Unique

Unique2 ?
Unique (%)15.4%

Sample

1st rowNo
2nd rowI prefer not to say
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No9
 
24.3%
I don't know2
 
5.4%
I prefer not to say1
 
2.7%
Yes1
 
2.7%
(Missing)24
64.9%

Pie chart

2021-07-28T10:40:31.186545image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectleg4other
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)100.0%
Missing36
Missing (%)97.3%
Memory size424.0 B
Certains de mes articles, pas contre, m'ont permis d'obtenir des infos en "off", à défaut de "soutien institutionnel"
1 

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowCertains de mes articles, pas contre, m'ont permis d'obtenir des infos en "off", à défaut de "soutien institutionnel"

Common Values

ValueCountFrequency (%)
Certains de mes articles, pas contre, m'ont permis d'obtenir des infos en "off", à défaut de "soutien institutionnel"1
 
2.7%
(Missing)36
97.3%

Pie chart

2021-07-28T10:40:31.340221image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectleg5
Categorical

MISSING

Distinct6
Distinct (%)22.2%
Missing10
Missing (%)27.0%
Memory size424.0 B
Common
8 
I don't know
7 
Very common
7 
Somewhat common
3 
Not common at all
1 

Unique

Unique2 ?
Unique (%)7.4%

Sample

1st rowI don't know
2nd rowI don't know
3rd rowSomewhat common
4th rowNot common at all
5th rowI don't know

Common Values

ValueCountFrequency (%)
Common8
21.6%
I don't know7
18.9%
Very common7
18.9%
Somewhat common3
 
8.1%
Not common at all1
 
2.7%
Slightly common1
 
2.7%
(Missing)10
27.0%

Pie chart

2021-07-28T10:40:31.510130image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectrta1
Categorical

MISSING

Distinct4
Distinct (%)14.8%
Missing10
Missing (%)27.0%
Memory size424.0 B
No
12 
I don't know
7 
Yes
6 
I prefer not to say
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI don't know
2nd rowI don't know
3rd rowI don't know
4th rowI don't know
5th rowNo

Common Values

ValueCountFrequency (%)
No12
32.4%
I don't know7
18.9%
Yes6
16.2%
I prefer not to say2
 
5.4%
(Missing)10
27.0%

Pie chart

2021-07-28T10:40:31.701260image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectrta2
Categorical

MISSING

Distinct2
Distinct (%)33.3%
Missing31
Missing (%)83.8%
Memory size424.0 B
Yes
3 
No
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
Yes3
 
8.1%
No3
 
8.1%
(Missing)31
83.8%

Pie chart

2021-07-28T10:40:31.941850image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectrta3
Categorical

MISSING

Distinct3
Distinct (%)50.0%
Missing31
Missing (%)83.8%
Memory size424.0 B
Yes
2 
I don't know
2 
No
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowI don't know
3rd rowNo
4th rowI don't know
5th rowNo

Common Values

ValueCountFrequency (%)
Yes2
 
5.4%
I don't know2
 
5.4%
No2
 
5.4%
(Missing)31
83.8%

Pie chart

2021-07-28T10:40:32.116193image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectrta4
Categorical

MISSING

Distinct3
Distinct (%)11.1%
Missing10
Missing (%)27.0%
Memory size424.0 B
No
16 
Yes
10 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No16
43.2%
Yes10
27.0%
I prefer not to say1
 
2.7%
(Missing)10
27.0%

Pie chart

2021-07-28T10:40:32.283735image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectrta5
Categorical

MISSING

Distinct3
Distinct (%)30.0%
Missing27
Missing (%)73.0%
Memory size424.0 B
No my request(s) were not responded to in a timely manner and often took longer than 30 days
6 
Yes, my request(s) were responded to in a timely manner of up to 30 days
3 
I never received responses to my request(s)
1 

Unique

Unique1 ?
Unique (%)10.0%

Sample

1st rowI never received responses to my request(s)
2nd rowNo my request(s) were not responded to in a timely manner and often took longer than 30 days
3rd rowNo my request(s) were not responded to in a timely manner and often took longer than 30 days
4th rowNo my request(s) were not responded to in a timely manner and often took longer than 30 days
5th rowNo my request(s) were not responded to in a timely manner and often took longer than 30 days

Common Values

ValueCountFrequency (%)
No my request(s) were not responded to in a timely manner and often took longer than 30 days6
 
16.2%
Yes, my request(s) were responded to in a timely manner of up to 30 days3
 
8.1%
I never received responses to my request(s)1
 
2.7%
(Missing)27
73.0%

Pie chart

2021-07-28T10:40:32.585163image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSprotectrta6
Categorical

MISSING

Distinct2
Distinct (%)22.2%
Missing28
Missing (%)75.7%
Memory size424.0 B
Partly, the information provided was somewhat helpful but contained omissions
5 
No, the information provided was not at all helpful
4 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPartly, the information provided was somewhat helpful but contained omissions
2nd rowNo, the information provided was not at all helpful
3rd rowPartly, the information provided was somewhat helpful but contained omissions
4th rowPartly, the information provided was somewhat helpful but contained omissions
5th rowNo, the information provided was not at all helpful

Common Values

ValueCountFrequency (%)
Partly, the information provided was somewhat helpful but contained omissions5
 
13.5%
No, the information provided was not at all helpful4
 
10.8%
(Missing)28
75.7%

Pie chart

2021-07-28T10:40:32.779136image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintcen1
Categorical

MISSING

Distinct4
Distinct (%)15.4%
Missing11
Missing (%)29.7%
Memory size424.0 B
No
14 
Yes
8 
I prefer not to say
3 
I don't know
 
1

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st rowNo
2nd rowNo
3rd rowI don't know
4th rowYes
5th rowYes

Common Values

ValueCountFrequency (%)
No14
37.8%
Yes8
21.6%
I prefer not to say3
 
8.1%
I don't know1
 
2.7%
(Missing)11
29.7%

Pie chart

2021-07-28T10:40:32.959791image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintcen2
Categorical

MISSING

Distinct3
Distinct (%)11.5%
Missing11
Missing (%)29.7%
Memory size424.0 B
I don't know
13 
No
12 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st rowI don't know
2nd rowI don't know
3rd rowI don't know
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
I don't know13
35.1%
No12
32.4%
I prefer not to say1
 
2.7%
(Missing)11
29.7%

Pie chart

2021-07-28T10:40:33.127775image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintcen3
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)83.3%
Missing31
Missing (%)83.8%
Infinite0
Infinite (%)0.0%
Mean6.333333333
Minimum2
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size424.0 B
2021-07-28T10:40:33.199604image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.5
Q14.25
median6
Q39.25
95-th percentile10
Maximum10
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.265986324
Coefficient of variation (CV)0.5156820511
Kurtosis-1.653515625
Mean6.333333333
Median Absolute Deviation (MAD)3
Skewness0.02105030248
Sum38
Variance10.66666667
MonotonicityNot monotonic
2021-07-28T10:40:33.305874image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
102
 
5.4%
51
 
2.7%
21
 
2.7%
71
 
2.7%
41
 
2.7%
(Missing)31
83.8%
ValueCountFrequency (%)
21
2.7%
41
2.7%
51
2.7%
71
2.7%
102
5.4%
ValueCountFrequency (%)
102
5.4%
71
2.7%
51
2.7%
41
2.7%
21
2.7%

MSconstraintcen4
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)12.5%
Missing29
Missing (%)78.4%
Memory size424.0 B
No
8 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No8
 
21.6%
(Missing)29
78.4%

Pie chart

2021-07-28T10:40:33.510723image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintcen5
Categorical

MISSING

Distinct3
Distinct (%)37.5%
Missing29
Missing (%)78.4%
Memory size424.0 B
No
5 
Yes
2 
I prefer not to say
1 

Unique

Unique1 ?
Unique (%)12.5%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowYes

Common Values

ValueCountFrequency (%)
No5
 
13.5%
Yes2
 
5.4%
I prefer not to say1
 
2.7%
(Missing)29
78.4%

Pie chart

2021-07-28T10:40:33.692766image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter1
Categorical

MISSING

Distinct5
Distinct (%)19.2%
Missing11
Missing (%)29.7%
Memory size424.0 B
I don't know
14 
Yes, I suspect
8 
Yes, I have evidence
2 
No
 
1
I prefer not to say
 
1

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st rowI don't know
2nd rowI don't know
3rd rowYes, I suspect
4th rowYes, I suspect
5th rowI don't know

Common Values

ValueCountFrequency (%)
I don't know14
37.8%
Yes, I suspect8
21.6%
Yes, I have evidence2
 
5.4%
No1
 
2.7%
I prefer not to say1
 
2.7%
(Missing)11
29.7%

Pie chart

2021-07-28T10:40:33.878139image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter2
Categorical

MISSING

Distinct2
Distinct (%)7.7%
Missing11
Missing (%)29.7%
Memory size424.0 B
No
24 
Yes
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No24
64.9%
Yes2
 
5.4%
(Missing)11
29.7%

Pie chart

2021-07-28T10:40:34.057868image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter3
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing35
Missing (%)94.6%
Memory size424.0 B
I was threatened with prosecution
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI was threatened with prosecution
2nd rowI was threatened with prosecution

Common Values

ValueCountFrequency (%)
I was threatened with prosecution2
 
5.4%
(Missing)35
94.6%

Pie chart

2021-07-28T10:40:34.211053image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter4[police_search]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.2%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
24 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No24
64.9%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:34.359149image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter4[seizure]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.2%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
24 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No24
64.9%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:34.504253image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter4[extortion]
Categorical

MISSING

Distinct2
Distinct (%)8.3%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
23 
Yes
 
1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No23
62.2%
Yes1
 
2.7%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:34.643153image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter4[violent_threat]
Categorical

MISSING

Distinct2
Distinct (%)8.3%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
23 
Yes
 
1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No23
62.2%
Yes1
 
2.7%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:34.916810image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter4[inspection_during_travel]
Categorical

MISSING

Distinct3
Distinct (%)12.5%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
19 
Yes
3 
I don't know
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No19
51.4%
Yes3
 
8.1%
I don't know2
 
5.4%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:35.099915image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter4[detention]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.2%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
24 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No24
64.9%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:35.264188image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter4[surveillance_signalling]
Categorical

MISSING

Distinct3
Distinct (%)12.0%
Missing12
Missing (%)32.4%
Memory size424.0 B
No
16 
Yes
6 
I don't know
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI don't know
2nd rowNo
3rd rowNo
4th rowI don't know
5th rowNo

Common Values

ValueCountFrequency (%)
No16
43.2%
Yes6
 
16.2%
I don't know3
 
8.1%
(Missing)12
32.4%

Pie chart

2021-07-28T10:40:35.428354image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter4[online_harassment]
Categorical

MISSING

Distinct3
Distinct (%)12.5%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
21 
Yes
 
2
I don't know
 
1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No21
56.8%
Yes2
 
5.4%
I don't know1
 
2.7%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:35.615025image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter4[entry_on_deny_lists]
Categorical

MISSING

Distinct2
Distinct (%)8.3%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
22 
I don't know
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No22
59.5%
I don't know2
 
5.4%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:35.784459image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter4[exclusion_from_events]
Categorical

MISSING

Distinct3
Distinct (%)12.5%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
18 
Yes
4 
I don't know
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No18
48.6%
Yes4
 
10.8%
I don't know2
 
5.4%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:35.953092image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter4[public_defamation]
Categorical

MISSING

Distinct2
Distinct (%)8.3%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
21 
Yes
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No21
56.8%
Yes3
 
8.1%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:36.110726image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter5[unsolicited_information]
Categorical

MISSING

Distinct4
Distinct (%)15.4%
Missing11
Missing (%)29.7%
Memory size424.0 B
No
16 
I prefer not to say
5 
Yes
4 
I don't know
 
1

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowI prefer not to say

Common Values

ValueCountFrequency (%)
No16
43.2%
I prefer not to say5
 
13.5%
Yes4
 
10.8%
I don't know1
 
2.7%
(Missing)11
29.7%

Pie chart

2021-07-28T10:40:36.271948image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter5[invitations]
Categorical

MISSING

Distinct3
Distinct (%)11.5%
Missing11
Missing (%)29.7%
Memory size424.0 B
No
14 
Yes
7 
I prefer not to say
5 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowYes
3rd rowNo
4th rowNo
5th rowI prefer not to say

Common Values

ValueCountFrequency (%)
No14
37.8%
Yes7
18.9%
I prefer not to say5
 
13.5%
(Missing)11
29.7%

Pie chart

2021-07-28T10:40:36.430504image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter5[other]
Categorical

MISSING

Distinct4
Distinct (%)33.3%
Missing25
Missing (%)67.6%
Memory size424.0 B
No
4 
I prefer not to say
3 
Yes
3 
I don't know
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowI prefer not to say
4th rowNo
5th rowI prefer not to say

Common Values

ValueCountFrequency (%)
No4
 
10.8%
I prefer not to say3
 
8.1%
Yes3
 
8.1%
I don't know2
 
5.4%
(Missing)25
67.6%

Pie chart

2021-07-28T10:40:36.620196image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter5other
Categorical

MISSING

Distinct3
Distinct (%)100.0%
Missing34
Missing (%)91.9%
Memory size424.0 B
Einladung zur bezahlten Mitarbeit an Thinktanks, die gepopolitische Ziele verfolgen, z.b. gegen China.
1 
Bitte, von Berichterstattung wg Gefahr für Leib und Leben abzusehen.
1 
Eine angebliche Zufallsbegegnung, als eine Bekannte mit "Freunden" zu einem Treffen erschien, von denen sich einer als BND-Mitarbeiter herausstellte. Ich gebe stets bei neuen Menschen im privaten Umfeld zu erkennen, das ich an sensiblen Themen arbeite, damit diese nicht in Probleme geraten, sollten sie z.B. im Rahmen einer Sicherheitsüberprüfung Journalistenkontakte einräumen müssen. Gleichzeitig erwarte ich einen offenen Umgang von Mitarbeiter*innen der Dienste sich zu outen, damit ich als Journalist Abstand nehmen kann. Bei der Zufallsbegegnung habe ich erst im Laufe des Abends und auf sehr viel Druck eine Bestätigung der BND-Zugehörigkeit erhalten und diese dann später über Einsicht in Arbeitsvertrag und Vorlage Dienstausweis bestätigt bekommen.
1 

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowEinladung zur bezahlten Mitarbeit an Thinktanks, die gepopolitische Ziele verfolgen, z.b. gegen China.
2nd rowBitte, von Berichterstattung wg Gefahr für Leib und Leben abzusehen.
3rd rowEine angebliche Zufallsbegegnung, als eine Bekannte mit "Freunden" zu einem Treffen erschien, von denen sich einer als BND-Mitarbeiter herausstellte. Ich gebe stets bei neuen Menschen im privaten Umfeld zu erkennen, das ich an sensiblen Themen arbeite, damit diese nicht in Probleme geraten, sollten sie z.B. im Rahmen einer Sicherheitsüberprüfung Journalistenkontakte einräumen müssen. Gleichzeitig erwarte ich einen offenen Umgang von Mitarbeiter*innen der Dienste sich zu outen, damit ich als Journalist Abstand nehmen kann. Bei der Zufallsbegegnung habe ich erst im Laufe des Abends und auf sehr viel Druck eine Bestätigung der BND-Zugehörigkeit erhalten und diese dann später über Einsicht in Arbeitsvertrag und Vorlage Dienstausweis bestätigt bekommen.

Common Values

ValueCountFrequency (%)
Einladung zur bezahlten Mitarbeit an Thinktanks, die gepopolitische Ziele verfolgen, z.b. gegen China. 1
 
2.7%
Bitte, von Berichterstattung wg Gefahr für Leib und Leben abzusehen.1
 
2.7%
Eine angebliche Zufallsbegegnung, als eine Bekannte mit "Freunden" zu einem Treffen erschien, von denen sich einer als BND-Mitarbeiter herausstellte. Ich gebe stets bei neuen Menschen im privaten Umfeld zu erkennen, das ich an sensiblen Themen arbeite, damit diese nicht in Probleme geraten, sollten sie z.B. im Rahmen einer Sicherheitsüberprüfung Journalistenkontakte einräumen müssen. Gleichzeitig erwarte ich einen offenen Umgang von Mitarbeiter*innen der Dienste sich zu outen, damit ich als Journalist Abstand nehmen kann. Bei der Zufallsbegegnung habe ich erst im Laufe des Abends und auf sehr viel Druck eine Bestätigung der BND-Zugehörigkeit erhalten und diese dann später über Einsicht in Arbeitsvertrag und Vorlage Dienstausweis bestätigt bekommen. 1
 
2.7%
(Missing)34
91.9%

Pie chart

2021-07-28T10:40:36.798783image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter6[gender]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.2%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
24 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No24
64.9%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:37.034695image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter6[ethnicity]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.2%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
24 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No24
64.9%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:37.291607image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter6[political]
Categorical

MISSING

Distinct3
Distinct (%)12.5%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
21 
Yes
 
2
I don't know
 
1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No21
56.8%
Yes2
 
5.4%
I don't know1
 
2.7%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:37.486235image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter6[sexual]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)4.2%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
24 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No24
64.9%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:37.658447image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter6[religious]
Categorical

MISSING

Distinct2
Distinct (%)8.3%
Missing13
Missing (%)35.1%
Memory size424.0 B
No
23 
I don't know
 
1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No23
62.2%
I don't know1
 
2.7%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:37.805839image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter6[other]
Categorical

MISSING

Distinct4
Distinct (%)25.0%
Missing21
Missing (%)56.8%
Memory size424.0 B
No
12 
Yes
2 
I don't know
 
1
I prefer not to say
 
1

Unique

Unique2 ?
Unique (%)12.5%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No12
32.4%
Yes2
 
5.4%
I don't know1
 
2.7%
I prefer not to say1
 
2.7%
(Missing)21
56.8%

Pie chart

2021-07-28T10:40:37.980628image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintinter6other
Categorical

MISSING

Distinct2
Distinct (%)100.0%
Missing35
Missing (%)94.6%
Memory size424.0 B
Medium, vergangene Berichterstattung
1 
Par des militants de la société civile à qui mes fact-checks déplaisaient (je constate, à ce titre, que vous semblez avoir un biais, comme si le fait d'enquêter au sujet de services de renseignement exposait surtout les journalistes au risque d'être harcelé par les autorités; dans mon cas, mes enquêtes -que personne n'a contesté, arguments à l'appui- ont aussi et surtout été ignorées par les autres médias, plus prompts à relayer les articles sensationnalistes que les enquêtes factuelles).
1 

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowMedium, vergangene Berichterstattung
2nd rowPar des militants de la société civile à qui mes fact-checks déplaisaient (je constate, à ce titre, que vous semblez avoir un biais, comme si le fait d'enquêter au sujet de services de renseignement exposait surtout les journalistes au risque d'être harcelé par les autorités; dans mon cas, mes enquêtes -que personne n'a contesté, arguments à l'appui- ont aussi et surtout été ignorées par les autres médias, plus prompts à relayer les articles sensationnalistes que les enquêtes factuelles).

Common Values

ValueCountFrequency (%)
Medium, vergangene Berichterstattung1
 
2.7%
Par des militants de la société civile à qui mes fact-checks déplaisaient (je constate, à ce titre, que vous semblez avoir un biais, comme si le fait d'enquêter au sujet de services de renseignement exposait surtout les journalistes au risque d'être harcelé par les autorités; dans mon cas, mes enquêtes -que personne n'a contesté, arguments à l'appui- ont aussi et surtout été ignorées par les autres médias, plus prompts à relayer les articles sensationnalistes que les enquêtes factuelles).1
 
2.7%
(Missing)35
94.6%

Pie chart

2021-07-28T10:40:38.151944image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintself1[avoid]
Categorical

MISSING

Distinct3
Distinct (%)13.0%
Missing14
Missing (%)37.8%
Memory size424.0 B
No
18 
Yes
4 
I don't know
 
1

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st rowNo
2nd rowNo
3rd rowYes
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No18
48.6%
Yes4
 
10.8%
I don't know1
 
2.7%
(Missing)14
37.8%

Pie chart

2021-07-28T10:40:38.369032image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintself1[change_focus]
Categorical

MISSING

Distinct3
Distinct (%)13.0%
Missing14
Missing (%)37.8%
Memory size424.0 B
No
18 
Yes
3 
I don't know
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowYes
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No18
48.6%
Yes3
 
8.1%
I don't know2
 
5.4%
(Missing)14
37.8%

Pie chart

2021-07-28T10:40:38.556658image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintself1[change_timeline]
Categorical

MISSING

Distinct3
Distinct (%)13.0%
Missing14
Missing (%)37.8%
Memory size424.0 B
No
13 
Yes
8 
I don't know
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowYes
4th rowYes
5th rowNo

Common Values

ValueCountFrequency (%)
No13
35.1%
Yes8
21.6%
I don't know2
 
5.4%
(Missing)14
37.8%

Pie chart

2021-07-28T10:40:38.724937image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintself1[abandon]
Categorical

MISSING

Distinct3
Distinct (%)13.0%
Missing14
Missing (%)37.8%
Memory size424.0 B
No
14 
Yes
8 
I don't know
 
1

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st rowNo
2nd rowNo
3rd rowYes
4th rowNo
5th rowYes

Common Values

ValueCountFrequency (%)
No14
37.8%
Yes8
21.6%
I don't know1
 
2.7%
(Missing)14
37.8%

Pie chart

2021-07-28T10:40:38.876801image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintself1[leave_profession]
Categorical

MISSING

Distinct3
Distinct (%)13.6%
Missing15
Missing (%)40.5%
Memory size424.0 B
No
19 
Yes
2 
I don't know
 
1

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st rowNo
2nd rowNo
3rd rowYes
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No19
51.4%
Yes2
 
5.4%
I don't know1
 
2.7%
(Missing)15
40.5%

Pie chart

2021-07-28T10:40:39.047258image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintself1[other]
Categorical

MISSING

Distinct3
Distinct (%)27.3%
Missing26
Missing (%)70.3%
Memory size424.0 B
No
7 
Yes
2 
I don't know
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYes
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No7
 
18.9%
Yes2
 
5.4%
I don't know2
 
5.4%
(Missing)26
70.3%

Pie chart

2021-07-28T10:40:39.209448image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSconstraintself1other
Categorical

MISSING

Distinct2
Distinct (%)100.0%
Missing35
Missing (%)94.6%
Memory size424.0 B
I am aware that some publications are less willing than others to write on matters of national security.
1 
J'ai fact-checké de nombreux articles consacrés à des techniques et services de renseignement et, bien que j'ai démontré qu'ils étaient en tout ou partie erronés, ils n'ont jamais été rectifiés (ni contestés, au demeurant); dit autrement : les problèmes auxquels j'ai pu être confrontés relèvent moins de la responsabilité des autorités et/ou services que de l'irresponsabilité de certains journalistes, médias et ONG qui relaient de fausses informations (au risque d'entraîner des crises politiques et/ou diplomatiques, comme je l'ai plusieurs fois documenté)
1 

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowI am aware that some publications are less willing than others to write on matters of national security.
2nd rowJ'ai fact-checké de nombreux articles consacrés à des techniques et services de renseignement et, bien que j'ai démontré qu'ils étaient en tout ou partie erronés, ils n'ont jamais été rectifiés (ni contestés, au demeurant); dit autrement : les problèmes auxquels j'ai pu être confrontés relèvent moins de la responsabilité des autorités et/ou services que de l'irresponsabilité de certains journalistes, médias et ONG qui relaient de fausses informations (au risque d'entraîner des crises politiques et/ou diplomatiques, comme je l'ai plusieurs fois documenté)

Common Values

ValueCountFrequency (%)
I am aware that some publications are less willing than others to write on matters of national security.1
 
2.7%
J'ai fact-checké de nombreux articles consacrés à des techniques et services de renseignement et, bien que j'ai démontré qu'ils étaient en tout ou partie erronés, ils n'ont jamais été rectifiés (ni contestés, au demeurant); dit autrement : les problèmes auxquels j'ai pu être confrontés relèvent moins de la responsabilité des autorités et/ou services que de l'irresponsabilité de certains journalistes, médias et ONG qui relaient de fausses informations (au risque d'entraîner des crises politiques et/ou diplomatiques, comme je l'ai plusieurs fois documenté)1
 
2.7%
(Missing)35
94.6%

Pie chart

2021-07-28T10:40:39.360450image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude1
Categorical

MISSING

Distinct5
Distinct (%)20.0%
Missing12
Missing (%)32.4%
Memory size424.0 B
Intelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates
11 
Intelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimum
8 
I prefer not to say
3 
Intelligence agencies are incompatible with democratic <br>values and should be abolished
2 
Intelligence agencies are a vital component of national <br>security and should be shielded from excessive bureaucratic <br>restrictions
 
1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st rowIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates
2nd rowIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates
3rd rowIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates
4th rowIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimum
5th rowIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates

Common Values

ValueCountFrequency (%)
Intelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates11
29.7%
Intelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimum8
21.6%
I prefer not to say3
 
8.1%
Intelligence agencies are incompatible with democratic <br>values and should be abolished2
 
5.4%
Intelligence agencies are a vital component of national <br>security and should be shielded from excessive bureaucratic <br>restrictions1
 
2.7%
(Missing)12
32.4%

Pie chart

2021-07-28T10:40:39.748224image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude2
Categorical

MISSING

Distinct4
Distinct (%)16.0%
Missing12
Missing (%)32.4%
Memory size424.0 B
Intelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct
15 
Effective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.
6 
I prefer not to say
3 
Intelligence oversight is mostly effective, however its <br>institutional design needs reform for oversight practitioners to reliably <br>uncover past misconduct and prevent future misconduct
 
1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st rowI prefer not to say
2nd rowIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct
3rd rowI prefer not to say
4th rowEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.
5th rowIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct

Common Values

ValueCountFrequency (%)
Intelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct15
40.5%
Effective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.6
 
16.2%
I prefer not to say3
 
8.1%
Intelligence oversight is mostly effective, however its <br>institutional design needs reform for oversight practitioners to reliably <br>uncover past misconduct and prevent future misconduct1
 
2.7%
(Missing)12
32.4%

Pie chart

2021-07-28T10:40:39.981210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude3[rule_of_law]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
19 
True
18 
ValueCountFrequency (%)
False19
51.4%
True18
48.6%
2021-07-28T10:40:40.082206image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude3[civil_liberties]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
True
19 
False
18 
ValueCountFrequency (%)
True19
51.4%
False18
48.6%
2021-07-28T10:40:40.120752image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude3[effectiveness_of_intel]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
33 
True
4 
ValueCountFrequency (%)
False33
89.2%
True4
 
10.8%
2021-07-28T10:40:40.161438image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude3[legitimacy_of_intel]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
29 
True
8 
ValueCountFrequency (%)
False29
78.4%
True8
 
21.6%
2021-07-28T10:40:40.204589image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude3[trust_in_intel]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
34 
True
 
3
ValueCountFrequency (%)
False34
91.9%
True3
 
8.1%
2021-07-28T10:40:40.248428image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude3[critique_of_intel]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
24 
True
13 
ValueCountFrequency (%)
False24
64.9%
True13
35.1%
2021-07-28T10:40:40.293114image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude3[prefer_not_to_say]
Boolean

Distinct2
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size165.0 B
False
36 
True
 
1
ValueCountFrequency (%)
False36
97.3%
True1
 
2.7%
2021-07-28T10:40:40.335407image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude4[1]
Categorical

MISSING

Distinct6
Distinct (%)25.0%
Missing13
Missing (%)35.1%
Memory size424.0 B
Civil society organisations
10 
Judicial oversight bodies
6 
Parliamentary oversight bodies
3 
Independent expert bodies
3 
Audit courts
 
1

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st rowCivil society organisations
2nd rowAudit courts
3rd rowData protection authorities
4th rowCivil society organisations
5th rowJudicial oversight bodies

Common Values

ValueCountFrequency (%)
Civil society organisations10
27.0%
Judicial oversight bodies6
16.2%
Parliamentary oversight bodies3
 
8.1%
Independent expert bodies3
 
8.1%
Audit courts1
 
2.7%
Data protection authorities1
 
2.7%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:40.518449image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude4[2]
Categorical

MISSING

Distinct5
Distinct (%)20.8%
Missing13
Missing (%)35.1%
Memory size424.0 B
Civil society organisations
9 
Independent expert bodies
6 
Data protection authorities
5 
Parliamentary oversight bodies
2 
Judicial oversight bodies
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowParliamentary oversight bodies
2nd rowCivil society organisations
3rd rowCivil society organisations
4th rowJudicial oversight bodies
5th rowCivil society organisations

Common Values

ValueCountFrequency (%)
Civil society organisations9
24.3%
Independent expert bodies6
16.2%
Data protection authorities5
 
13.5%
Parliamentary oversight bodies2
 
5.4%
Judicial oversight bodies2
 
5.4%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:40.719280image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude4[3]
Categorical

MISSING

Distinct6
Distinct (%)26.1%
Missing14
Missing (%)37.8%
Memory size424.0 B
Judicial oversight bodies
6 
Data protection authorities
6 
Parliamentary oversight bodies
4 
Independent expert bodies
4 
Audit courts
2 

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st rowJudicial oversight bodies
2nd rowJudicial oversight bodies
3rd rowJudicial oversight bodies
4th rowParliamentary oversight bodies
5th rowData protection authorities

Common Values

ValueCountFrequency (%)
Judicial oversight bodies6
16.2%
Data protection authorities6
16.2%
Parliamentary oversight bodies4
 
10.8%
Independent expert bodies4
 
10.8%
Audit courts2
 
5.4%
Civil society organisations1
 
2.7%
(Missing)14
37.8%

Pie chart

2021-07-28T10:40:40.915984image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude4[4]
Categorical

MISSING

Distinct6
Distinct (%)37.5%
Missing21
Missing (%)56.8%
Memory size424.0 B
Independent expert bodies
4 
Audit courts
4 
Parliamentary oversight bodies
3 
Judicial oversight bodies
2 
Data protection authorities
2 

Unique

Unique1 ?
Unique (%)6.2%

Sample

1st rowIndependent expert bodies
2nd rowIndependent expert bodies
3rd rowAudit courts
4th rowParliamentary oversight bodies
5th rowJudicial oversight bodies

Common Values

ValueCountFrequency (%)
Independent expert bodies4
 
10.8%
Audit courts4
 
10.8%
Parliamentary oversight bodies3
 
8.1%
Judicial oversight bodies2
 
5.4%
Data protection authorities2
 
5.4%
Civil society organisations1
 
2.7%
(Missing)21
56.8%

Pie chart

2021-07-28T10:40:41.125059image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude4[5]
Categorical

MISSING

Distinct4
Distinct (%)28.6%
Missing23
Missing (%)62.2%
Memory size424.0 B
Parliamentary oversight bodies
5 
Data protection authorities
5 
Independent expert bodies
2 
Audit courts
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowParliamentary oversight bodies
2nd rowParliamentary oversight bodies
3rd rowIndependent expert bodies
4th rowAudit courts
5th rowData protection authorities

Common Values

ValueCountFrequency (%)
Parliamentary oversight bodies5
 
13.5%
Data protection authorities5
 
13.5%
Independent expert bodies2
 
5.4%
Audit courts2
 
5.4%
(Missing)23
62.2%

Pie chart

2021-07-28T10:40:41.322246image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude4[6]
Categorical

MISSING

Distinct5
Distinct (%)55.6%
Missing28
Missing (%)75.7%
Memory size424.0 B
Audit courts
3 
Judicial oversight bodies
2 
Civil society organisations
2 
Data protection authorities
1 
Parliamentary oversight bodies
1 

Unique

Unique2 ?
Unique (%)22.2%

Sample

1st rowAudit courts
2nd rowData protection authorities
3rd rowJudicial oversight bodies
4th rowAudit courts
5th rowCivil society organisations

Common Values

ValueCountFrequency (%)
Audit courts3
 
8.1%
Judicial oversight bodies2
 
5.4%
Civil society organisations2
 
5.4%
Data protection authorities1
 
2.7%
Parliamentary oversight bodies1
 
2.7%
(Missing)28
75.7%

Pie chart

2021-07-28T10:40:41.514287image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude5[1]
Categorical

MISSING

Distinct5
Distinct (%)21.7%
Missing14
Missing (%)37.8%
Memory size424.0 B
Civil society organisations
10 
Judicial oversight bodies
7 
Independent expert bodies
4 
Parliamentary oversight bodies
 
1
Data protection authorities
 
1

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st rowCivil society organisations
2nd rowIndependent expert bodies
3rd rowCivil society organisations
4th rowCivil society organisations
5th rowJudicial oversight bodies

Common Values

ValueCountFrequency (%)
Civil society organisations10
27.0%
Judicial oversight bodies7
18.9%
Independent expert bodies4
 
10.8%
Parliamentary oversight bodies1
 
2.7%
Data protection authorities1
 
2.7%
(Missing)14
37.8%

Pie chart

2021-07-28T10:40:41.857320image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude5[2]
Categorical

MISSING

Distinct6
Distinct (%)27.3%
Missing15
Missing (%)40.5%
Memory size424.0 B
Data protection authorities
6 
Judicial oversight bodies
5 
Civil society organisations
5 
Parliamentary oversight bodies
4 
Audit courts
1 

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st rowJudicial oversight bodies
2nd rowAudit courts
3rd rowData protection authorities
4th rowJudicial oversight bodies
5th rowCivil society organisations

Common Values

ValueCountFrequency (%)
Data protection authorities6
 
16.2%
Judicial oversight bodies5
 
13.5%
Civil society organisations5
 
13.5%
Parliamentary oversight bodies4
 
10.8%
Audit courts1
 
2.7%
Independent expert bodies1
 
2.7%
(Missing)15
40.5%

Pie chart

2021-07-28T10:40:42.055996image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude5[3]
Categorical

MISSING

Distinct6
Distinct (%)31.6%
Missing18
Missing (%)48.6%
Memory size424.0 B
Independent expert bodies
5 
Audit courts
5 
Judicial oversight bodies
3 
Data protection authorities
3 
Parliamentary oversight bodies
2 

Unique

Unique1 ?
Unique (%)5.3%

Sample

1st rowParliamentary oversight bodies
2nd rowIndependent expert bodies
3rd rowIndependent expert bodies
4th rowAudit courts
5th rowAudit courts

Common Values

ValueCountFrequency (%)
Independent expert bodies5
 
13.5%
Audit courts5
 
13.5%
Judicial oversight bodies3
 
8.1%
Data protection authorities3
 
8.1%
Parliamentary oversight bodies2
 
5.4%
Civil society organisations1
 
2.7%
(Missing)18
48.6%

Pie chart

2021-07-28T10:40:42.289680image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude5[4]
Categorical

MISSING

Distinct5
Distinct (%)35.7%
Missing23
Missing (%)62.2%
Memory size424.0 B
Judicial oversight bodies
4 
Parliamentary oversight bodies
4 
Data protection authorities
4 
Audit courts
1 
Civil society organisations
1 

Unique

Unique2 ?
Unique (%)14.3%

Sample

1st rowJudicial oversight bodies
2nd rowParliamentary oversight bodies
3rd rowData protection authorities
4th rowAudit courts
5th rowJudicial oversight bodies

Common Values

ValueCountFrequency (%)
Judicial oversight bodies4
 
10.8%
Parliamentary oversight bodies4
 
10.8%
Data protection authorities4
 
10.8%
Audit courts1
 
2.7%
Civil society organisations1
 
2.7%
(Missing)23
62.2%

Pie chart

2021-07-28T10:40:42.489883image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude5[5]
Categorical

MISSING

Distinct4
Distinct (%)40.0%
Missing27
Missing (%)73.0%
Memory size424.0 B
Independent expert bodies
5 
Parliamentary oversight bodies
3 
Data protection authorities
1 
Audit courts
1 

Unique

Unique2 ?
Unique (%)20.0%

Sample

1st rowParliamentary oversight bodies
2nd rowIndependent expert bodies
3rd rowIndependent expert bodies
4th rowData protection authorities
5th rowParliamentary oversight bodies

Common Values

ValueCountFrequency (%)
Independent expert bodies5
 
13.5%
Parliamentary oversight bodies3
 
8.1%
Data protection authorities1
 
2.7%
Audit courts1
 
2.7%
(Missing)27
73.0%

Pie chart

2021-07-28T10:40:42.712198image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude5[6]
Categorical

MISSING

Distinct4
Distinct (%)44.4%
Missing28
Missing (%)75.7%
Memory size424.0 B
Civil society organisations
4 
Audit courts
3 
Independent expert bodies
1 
Data protection authorities
1 

Unique

Unique2 ?
Unique (%)22.2%

Sample

1st rowAudit courts
2nd rowCivil society organisations
3rd rowCivil society organisations
4th rowAudit courts
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
Civil society organisations4
 
10.8%
Audit courts3
 
8.1%
Independent expert bodies1
 
2.7%
Data protection authorities1
 
2.7%
(Missing)28
75.7%

Pie chart

2021-07-28T10:40:42.906765image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude6[1]
Categorical

MISSING

Distinct6
Distinct (%)27.3%
Missing15
Missing (%)40.5%
Memory size424.0 B
Judicial oversight bodies
13 
Independent expert bodies
3 
Parliamentary oversight bodies
2 
Civil society organisations
2 
Audit courts
 
1

Unique

Unique2 ?
Unique (%)9.1%

Sample

1st rowAudit courts
2nd rowData protection authorities
3rd rowJudicial oversight bodies
4th rowJudicial oversight bodies
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
Judicial oversight bodies13
35.1%
Independent expert bodies3
 
8.1%
Parliamentary oversight bodies2
 
5.4%
Civil society organisations2
 
5.4%
Audit courts1
 
2.7%
Data protection authorities1
 
2.7%
(Missing)15
40.5%

Pie chart

2021-07-28T10:40:43.090941image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude6[2]
Categorical

MISSING

Distinct6
Distinct (%)27.3%
Missing15
Missing (%)40.5%
Memory size424.0 B
Parliamentary oversight bodies
8 
Judicial oversight bodies
6 
Data protection authorities
3 
Civil society organisations
2 
Audit courts
2 

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st rowJudicial oversight bodies
2nd rowJudicial oversight bodies
3rd rowParliamentary oversight bodies
4th rowParliamentary oversight bodies
5th rowCivil society organisations

Common Values

ValueCountFrequency (%)
Parliamentary oversight bodies8
21.6%
Judicial oversight bodies6
 
16.2%
Data protection authorities3
 
8.1%
Civil society organisations2
 
5.4%
Audit courts2
 
5.4%
Independent expert bodies1
 
2.7%
(Missing)15
40.5%

Pie chart

2021-07-28T10:40:43.284226image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude6[3]
Categorical

MISSING

Distinct5
Distinct (%)33.3%
Missing22
Missing (%)59.5%
Memory size424.0 B
Data protection authorities
4 
Audit courts
4 
Civil society organisations
3 
Parliamentary oversight bodies
3 
Judicial oversight bodies
1 

Unique

Unique1 ?
Unique (%)6.7%

Sample

1st rowCivil society organisations
2nd rowData protection authorities
3rd rowParliamentary oversight bodies
4th rowData protection authorities
5th rowData protection authorities

Common Values

ValueCountFrequency (%)
Data protection authorities4
 
10.8%
Audit courts4
 
10.8%
Civil society organisations3
 
8.1%
Parliamentary oversight bodies3
 
8.1%
Judicial oversight bodies1
 
2.7%
(Missing)22
59.5%

Pie chart

2021-07-28T10:40:43.494640image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude6[4]
Categorical

MISSING

Distinct4
Distinct (%)40.0%
Missing27
Missing (%)73.0%
Memory size424.0 B
Data protection authorities
5 
Audit courts
3 
Independent expert bodies
1 
Civil society organisations
1 

Unique

Unique2 ?
Unique (%)20.0%

Sample

1st rowAudit courts
2nd rowData protection authorities
3rd rowAudit courts
4th rowAudit courts
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
Data protection authorities5
 
13.5%
Audit courts3
 
8.1%
Independent expert bodies1
 
2.7%
Civil society organisations1
 
2.7%
(Missing)27
73.0%

Pie chart

2021-07-28T10:40:43.690815image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude6[5]
Categorical

MISSING

Distinct3
Distinct (%)37.5%
Missing29
Missing (%)78.4%
Memory size424.0 B
Independent expert bodies
4 
Parliamentary oversight bodies
2 
Civil society organisations
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowParliamentary oversight bodies
2nd rowIndependent expert bodies
3rd rowIndependent expert bodies
4th rowParliamentary oversight bodies
5th rowCivil society organisations

Common Values

ValueCountFrequency (%)
Independent expert bodies4
 
10.8%
Parliamentary oversight bodies2
 
5.4%
Civil society organisations2
 
5.4%
(Missing)29
78.4%

Pie chart

2021-07-28T10:40:43.875797image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSattitude6[6]
Categorical

MISSING

Distinct3
Distinct (%)37.5%
Missing29
Missing (%)78.4%
Memory size424.0 B
Civil society organisations
4 
Independent expert bodies
3 
Parliamentary oversight bodies
1 

Unique

Unique1 ?
Unique (%)12.5%

Sample

1st rowIndependent expert bodies
2nd rowCivil society organisations
3rd rowCivil society organisations
4th rowCivil society organisations
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
Civil society organisations4
 
10.8%
Independent expert bodies3
 
8.1%
Parliamentary oversight bodies1
 
2.7%
(Missing)29
78.4%

Pie chart

2021-07-28T10:40:44.167285image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

MSgender
Categorical

MISSING

Distinct3
Distinct (%)12.5%
Missing13
Missing (%)35.1%
Memory size424.0 B
Man
21 
I prefer not to say
 
2
Woman
 
1

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st rowMan
2nd rowMan
3rd rowI prefer not to say
4th rowMan
5th rowMan

Common Values

ValueCountFrequency (%)
Man21
56.8%
I prefer not to say2
 
5.4%
Woman1
 
2.7%
(Missing)13
35.1%

Pie chart

2021-07-28T10:40:44.363796image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

surveytype
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size424.0 B
Media Scrutiny
37 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMedia Scrutiny
2nd rowMedia Scrutiny
3rd rowMedia Scrutiny
4th rowMedia Scrutiny
5th rowMedia Scrutiny

Common Values

ValueCountFrequency (%)
Media Scrutiny37
100.0%

Pie chart

2021-07-28T10:40:44.511157image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Sample

First rows

countrylastpageMShr1MShr2MShr3[weekly_newspaper]MShr3[magazine]MShr3[tv]MShr3[radio]MShr3[news_agency]MShr3[online_stand_alone]MShr3[online_of_offline]MShr4MSexpertise1MSexpertise2MSexpertise3MSexpertise4MSfinance1MSfinance2MSfoi1MSfoi2MSfoi3MSfoi4MSfoi5[not_aware]MSfoi5[not_covered]MSfoi5[too_expensive]MSfoi5[too_time_consuming]MSfoi5[afraid_of_data_destruction]MSfoi5[afraid_of_discrimination]MSfoi5[other]MSfoi5otherMSfoi5[dont_know]MSfoi5[prefer_not_to_say]MSapp1MSapp2MSsoc1MSsoc2MSsoc4MSsoc5[follow_up_on_other_media]MSsoc5[statements_government]MSsoc5[oversight_reports]MSsoc5[leaks]MSsoc5[own_investigations]MSsoc5[dont_know]MSsoc5[prefer_not_to_say]MSsoc5[other]MSsoc5otherMSsoc6[national_security_risks]MSsoc6[intelligence_success]MSsoc6[intelligence_misconduct]MSsoc6[oversight_interventions]MSsoc6[oversight_failures]MSsoc6[policy_debates_leg_reforms]MSsoc6[other]MSsoc6otherMStrans1MStrans2MStrans3MSimpact1[above_avg_comments]MSimpact1[above_avg_shares]MSimpact1[above_avg_readers]MSimpact1[letters_to_the_editor]MSimpact1[follow_up_by_other_media]MSimpact1[other]MSimpact1otherMSimpact1[none_of_the_above]MSimpact1[dont_know]MSimpact1[prefer_not_to_say]MSimpact2[diplomatic_pressure]MSimpact2[civic_action]MSimpact2[conversations_with_government]MSimpact2[official_inquiries]MSimpact2[government_statements]MSimpact2[conversations_with_intelligence]MSimpact2[dont_know]MSimpact2[prefer_not_to_say]MSimpact2[other]MSimpact2otherMSimpact2[none_of_the_above]MSprotectops1[sectraining]MSprotectops1[secure_drop]MSprotectops1[e2e]MSprotectops2MSprotectops3[encrypted_email]MSprotectops3[vpn]MSprotectops3[tor]MSprotectops3[e2e_chat]MSprotectops3[encrypted_hardware]MSprotectops3[2fa]MSprotectops3[secure_drop]MSprotectops3[other]MSprotectops3otherMSprotectops4MSprotectleg1MSprotectleg2MSprotectleg3[free_counsel]MSprotectleg3[cost_insurance]MSprotectleg3[other]MSprotectleg4[free_counsel]MSprotectleg4[cost_insurance]MSprotectleg4[other]MSprotectleg4otherMSprotectleg5MSprotectrta1MSprotectrta2MSprotectrta3MSprotectrta4MSprotectrta5MSprotectrta6MSconstraintcen1MSconstraintcen2MSconstraintcen3MSconstraintcen4MSconstraintcen5MSconstraintinter1MSconstraintinter2MSconstraintinter3MSconstraintinter4[police_search]MSconstraintinter4[seizure]MSconstraintinter4[extortion]MSconstraintinter4[violent_threat]MSconstraintinter4[inspection_during_travel]MSconstraintinter4[detention]MSconstraintinter4[surveillance_signalling]MSconstraintinter4[online_harassment]MSconstraintinter4[entry_on_deny_lists]MSconstraintinter4[exclusion_from_events]MSconstraintinter4[public_defamation]MSconstraintinter5[unsolicited_information]MSconstraintinter5[invitations]MSconstraintinter5[other]MSconstraintinter5otherMSconstraintinter6[gender]MSconstraintinter6[ethnicity]MSconstraintinter6[political]MSconstraintinter6[sexual]MSconstraintinter6[religious]MSconstraintinter6[other]MSconstraintinter6otherMSconstraintself1[avoid]MSconstraintself1[change_focus]MSconstraintself1[change_timeline]MSconstraintself1[abandon]MSconstraintself1[leave_profession]MSconstraintself1[other]MSconstraintself1otherMSattitude1MSattitude2MSattitude3[rule_of_law]MSattitude3[civil_liberties]MSattitude3[effectiveness_of_intel]MSattitude3[legitimacy_of_intel]MSattitude3[trust_in_intel]MSattitude3[critique_of_intel]MSattitude3[prefer_not_to_say]MSattitude4[1]MSattitude4[2]MSattitude4[3]MSattitude4[4]MSattitude4[5]MSattitude4[6]MSattitude5[1]MSattitude5[2]MSattitude5[3]MSattitude5[4]MSattitude5[5]MSattitude5[6]MSattitude6[1]MSattitude6[2]MSattitude6[3]MSattitude6[4]MSattitude6[5]MSattitude6[6]MSgendersurveytype
0United Kingdom18.0Part-time (>50%)3.0FalseFalseFalseFalseFalseTrueFalseI had enough time1.0Some knowledgeSome knowledgeSome knowledgeSome fundingI don't knowNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseYesI don't know1.01.0Very regularlyFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueTrueAlwaysOften (75% of the time)YesFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseTrueTrueFalseVery importantImportantVery importantNoVery importantVery importantVery importantVery importantVery importantVery importantNaNNaNNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleAlwaysI don't knowI don't knowI don't knowNaNNoNoNaNNaNI don't knowI don't knowNaNNaNNoNaNNaNNoI don't knowNaNNaNNaNI don't knowNoNaNNoNoNoNoYesNoI don't knowNoNoNoNoNoNoNaNNaNNoNoNoNoNoNaNNaNNoNoNoNoNoNaNNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesI prefer not to sayFalseFalseTrueFalseFalseFalseFalseCivil society organisationsParliamentary oversight bodiesJudicial oversight bodiesNaNNaNNaNCivil society organisationsJudicial oversight bodiesParliamentary oversight bodiesNaNNaNNaNNaNNaNNaNNaNNaNNaNManMedia Scrutiny
1United Kingdom18.0Full-time4.0FalseFalseFalseFalseFalseFalseTrueI had very little time2.0Basic knowledgeBasic knowledgeSome knowledgeLittle fundingNoNoNaNNaNNaNFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseI don't knowI don't know6.01.0Rarely or neverFalseTrueFalseTrueFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseTrueFalseFalseSometimesSometimes (50% of the time)NoFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueImportantImportantVery importantNoSomewhat importantSlightly importantSlightly importantImportantSlightly importantImportantNot important at allNaNNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleSometimesNoYesI don't knowNaNYesNoNaNNaNI don't knowI don't knowNaNNaNNoNaNNaNNoI don't knowNaNNaNNaNI don't knowNoNaNNoNoNoNoNoNoNoNoNoNoNoNoYesNaNNaNNoNoNoNoNoNaNNaNNoNoNoNoNoNaNNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductFalseTrueFalseTrueFalseFalseFalseAudit courtsCivil society organisationsJudicial oversight bodiesNaNNaNNaNIndependent expert bodiesAudit courtsNaNNaNNaNNaNAudit courtsJudicial oversight bodiesNaNNaNNaNNaNManMedia Scrutiny
2United Kingdom6.0Freelance2.0FalseFalseFalseFalseFalseFalseFalseI had some time4.0Some knowledgeBasic knowledgeBasic knowledgeNo fundingNoYes2.0Yes, within 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNoI don't knowNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
3United Kingdom9.0Full-time1.0FalseFalseFalseFalseFalseFalseFalseI had very little time20.0Basic knowledgeSome knowledgeBasic knowledgeSome fundingNoNoNaNNaNNaNFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseI don't knowNo2.0NaNSometimesTrueTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseOftenNeverNaNFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
4United Kingdom8.0Full-time0.0FalseFalseFalseFalseFalseFalseFalseI don't know10.0Basic knowledgeBasic knowledgeBasic knowledgeI don't knowNoNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueTrueFalseFalseI don't knowI don't know0.00.0Rarely or neverTrueTrueFalseFalseFalseFalseFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseRarelySometimes (50% of the time)NoFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
5United Kingdom18.0Other0.0TrueTrueFalseFalseFalseTrueFalseI had no timeNaNNo knowledgeNo knowledgeBasic knowledgeI don't knowI don't knowNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseI don't knowI don't know5.00.0Rarely or neverFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseI don't knowI don't knowNaNFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseVery importantImportantVery importantNoSlightly importantNot important at allNot important at allVery importantSlightly importantSomewhat importantNot important at allI don't knowNaNI have no confidence in the protection offered by <br>technological toolsI don't knowI don't knowI don't knowI don't knowNaNNoNoNoNaNSomewhat commonI don't knowNaNNaNNoNaNNaNI don't knowI don't knowNaNNaNNaNYes, I suspectNoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNoNoNoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesI prefer not to sayFalseTrueFalseFalseFalseTrueFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNI prefer not to sayMedia Scrutiny
6United Kingdom18.0Full-time15.0FalseFalseFalseFalseFalseTrueFalseI had enough time2.0Basic knowledgeSome knowledgeSome knowledgeSufficient fundingNoYes20.0No, usually longer than 30 daysVery helpfulFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNoNo10.08.0RegularlyFalseFalseTrueTrueTrueFalseFalseFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseSometimesNeverNaNFalseFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueVery importantImportantVery importantYesImportantImportantSlightly importantVery importantImportantVery importantImportantNaNNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleRarelyYesYesI don't knowI don't knowI prefer not to sayI prefer not to sayI prefer not to sayNaNNot common at allI don't knowNaNNaNNoNaNNaNYesNo5.0NoNoYes, I suspectNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNaNNoNoNoNoNoNoNaNYesYesYesYesYesNaNNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.FalseFalseTrueTrueFalseTrueFalseData protection authoritiesCivil society organisationsJudicial oversight bodiesIndependent expert bodiesParliamentary oversight bodiesAudit courtsCivil society organisationsData protection authoritiesIndependent expert bodiesJudicial oversight bodiesParliamentary oversight bodiesAudit courtsData protection authoritiesJudicial oversight bodiesCivil society organisationsAudit courtsParliamentary oversight bodiesIndependent expert bodiesManMedia Scrutiny
7United Kingdom17.0Full-time4.0FalseFalseFalseFalseFalseTrueFalseI had enough time15.0Some knowledgeSome knowledgeSome knowledgeSufficient fundingNoNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseYesNo30.020.0Somewhat regularlyFalseFalseTrueTrueTrueFalseFalseTrueTrueFalseTrueTrueTrueTrueTrueFalseFalseSometimesNeverNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueTrueFalseFalseTrueTrueFalseVery importantNaNVery importantNoVery importantSomewhat importantSomewhat importantVery importantImportantVery importantNaNNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesNoI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayNaNNaNI don't knowNoNaNNaNNoNaNNaNYesNo2.0NoNoI don't knowNoNaNNoNoNoNoNoNoI don't knowNoNoNoNoI prefer not to sayI prefer not to sayNaNNaNNoNoNoNoNoNoNaNNoNoYesNoNoYesI am aware that some publications are less willing than others to write on matters of national security.Intelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueTrueFalseFalseFalseFalseCivil society organisationsJudicial oversight bodiesParliamentary oversight bodiesNaNNaNNaNCivil society organisationsJudicial oversight bodiesIndependent expert bodiesParliamentary oversight bodiesNaNNaNJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesNaNNaNNaNManMedia Scrutiny
8United Kingdom18.0Full-time5.0FalseFalseFalseFalseTrueFalseFalseI had enough time10.0Advanced knowledgeAdvanced knowledgeSome knowledgeI don't knowI don't knowYes3.0No, usually longer than 30 daysNot helpful at allFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNoNo10.05.0Somewhat regularlyTrueTrueTrueTrueTrueFalseFalseFalseFalseTrueTrueTrueTrueTrueTrueFalseFalseOftenSometimes (50% of the time)YesFalseFalseFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueTrueFalseVery importantVery importantVery importantYesVery importantVery importantVery importantVery importantVery importantVery importantImportantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsAlwaysNoYesYesNaNNoNoNoNaNCommonNoNaNNaNNoNaNNaNYesNoNaNNoNoI don't knowNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNoNoNoNoNoNoNaNNoNoNoYesNoNoNaNI prefer not to sayI prefer not to sayFalseFalseFalseFalseFalseFalseTrueJudicial oversight bodiesCivil society organisationsData protection authoritiesIndependent expert bodiesParliamentary oversight bodiesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
9Germany5.0Full-time2.0FalseFalseFalseTrueFalseTrueFalseI had very little time12.0Advanced knowledgeExpert knowledgeAdvanced knowledgeLittle fundingNoNoNaNNaNNaNFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
10Germany18.0Full-time10.0FalseFalseFalseFalseFalseTrueFalseI had some time7.0Advanced knowledgeAdvanced knowledgeAdvanced knowledgeSome fundingYesYes20.0No, usually longer than 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYes10.010.0Somewhat regularlyTrueFalseTrueTrueTrueFalseFalseFalseFalseFalseFalseTrueTrueTrueTrueFalseFalseRarelyNeverNaNFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseTrueFalseFalseVery importantImportantVery importantYesVery importantImportantSomewhat importantVery importantVery importantVery importantSlightly importantI don't knowNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesNoYesNoI don't knowYesNoNoNaNCommonYesYesYesYesI never received responses to my request(s)NaNNoI don't knowNaNNaNNaNI don't knowNoNaNNoNoNoNoNoNoNoNoNoYesNoI prefer not to sayI prefer not to sayI prefer not to sayNaNNoNoNoNoNoNoNaNNoNoNoNoNoNoNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseParliamentary oversight bodiesCivil society organisationsJudicial oversight bodiesAudit courtsIndependent expert bodiesData protection authoritiesJudicial oversight bodiesCivil society organisationsAudit courtsNaNNaNNaNJudicial oversight bodiesParliamentary oversight bodiesNaNNaNNaNNaNWomanMedia Scrutiny
11Germany18.0Freelance2.0FalseFalseFalseFalseFalseTrueFalseI had enough time10.0Advanced knowledgeSome knowledgeSome knowledgeNo fundingI don't knowYes2.0No, usually longer than 30 daysNot helpful at allFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseI don't knowI don't know5.05.0Somewhat regularlyFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseOftenRarely (25% of the time)NaNFalseFalseFalseFalseTrueFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseVery importantNaNVery importantNoImportantSlightly importantNot important at allVery importantVery importantSomewhat importantNot important at allNaNNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleRarelyI don't knowNaNNaNNaNNoNoNaNNaNI don't knowI don't knowNaNNaNYesNo my request(s) were not responded to in a timely manner and often took longer than 30 daysPartly, the information provided was somewhat helpful but contained omissionsNoI don't knowNaNNaNNaNYes, I have evidenceNoNaNNaNNaNNaNNaNNaNNaNYesNaNNaNNaNYesNoNoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNIntelligence agencies are incompatible with democratic <br>values and should be abolishedEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.FalseTrueFalseFalseFalseFalseFalseIndependent expert bodiesData protection authoritiesCivil society organisationsNaNNaNNaNIndependent expert bodiesNaNNaNNaNNaNNaNIndependent expert bodiesCivil society organisationsNaNNaNNaNNaNI prefer not to sayMedia Scrutiny
12Germany18.0Freelance5.0FalseFalseFalseFalseFalseTrueFalseI had very little time4.0Basic knowledgeSome knowledgeAdvanced knowledgeSome fundingYesNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseYesYes3.03.0Somewhat regularlyTrueTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseTrueTrueTrueTrueFalseFalseOftenRarely (25% of the time)NaNTrueTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseVery importantImportantVery importantYesVery importantVery importantVery importantVery importantVery importantVery importantSlightly importantI don't knowNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsAlwaysI prefer not to sayNoNoI don't knowNoNoNoNaNSomewhat commonNoNaNNaNYesNo my request(s) were not responded to in a timely manner and often took longer than 30 daysNo, the information provided was not at all helpfulNoI don't knowNaNNaNNaNYes, I suspectYesI was threatened with prosecutionNoNoNoNoNoNoYesNoNoNoNoNoNoNoNaNNoNoNoNoNoNoNaNYesNoNoYesNoNoNaNIntelligence agencies are incompatible with democratic <br>values and should be abolishedEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseFalseTrueFalseIndependent expert bodiesCivil society organisationsData protection authoritiesParliamentary oversight bodiesAudit courtsJudicial oversight bodiesParliamentary oversight bodiesJudicial oversight bodiesAudit courtsData protection authoritiesIndependent expert bodiesCivil society organisationsJudicial oversight bodiesAudit courtsParliamentary oversight bodiesData protection authoritiesIndependent expert bodiesCivil society organisationsManMedia Scrutiny
13Germany18.0Part-time (>50%)1.0TrueFalseFalseFalseFalseTrueFalseI had some time2.0Advanced knowledgeAdvanced knowledgeSome knowledgeSome fundingI prefer not to sayI prefer not to sayNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNoI don't know8.05.0RegularlyFalseFalseFalseFalseFalseFalseFalseTrueTrueTrueFalseFalseFalseFalseTrueFalseFalseSometimesI prefer not to sayNaNFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseSlightly importantSlightly importantSlightly importantNaNI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsRarelyI prefer not to sayI don't knowI don't knowI don't knowNoNoNoNaNCommonI prefer not to sayNaNNaNI prefer not to sayNaNNaNI prefer not to sayI prefer not to sayNaNNaNNaNI don't knowNoNaNNoNoNoNoNoNoNoNoNoNoNoI prefer not to sayI prefer not to sayI prefer not to sayNaNNoNoNoNoNoNoNaNNoNoNoNoNoNaNNaNI prefer not to sayIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseTrueFalseFalseParliamentary oversight bodiesCivil society organisationsIndependent expert bodiesJudicial oversight bodiesData protection authoritiesAudit courtsJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesAudit courtsIndependent expert bodiesCivil society organisationsJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesAudit courtsIndependent expert bodiesCivil society organisationsManMedia Scrutiny
14Germany18.0Full-time2.0FalseFalseTrueFalseFalseFalseFalseI had some time15.0Advanced knowledgeExpert knowledgeSome knowledgeSome fundingYesYes20.0No, usually longer than 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseYesNo4.01.0SometimesFalseFalseFalseFalseTrueFalseFalseTrueTrueFalseFalseTrueTrueTrueTrueFalseFalseSometimesSometimes (50% of the time)NoFalseFalseFalseFalseTrueTrueTrueFalseFalseFalseFalseTrueTrueTrueTrueFalseFalseFalseFalseFalseFalseVery importantImportantVery importantNoVery importantVery importantImportantImportantVery importantImportantSomewhat importantVery importantPersönliche Treffen / AustauschI try to avoid technology-based communication whenever <br>possible when I work on intelligence-related issuesAlwaysYesYesYesYesYesNoNoNaNCommonYesYesI don't knowNoNaNNaNNoNoNaNNaNNaNI don't knowNoNaNNoNoNoNoI don't knowNoYesNoI don't knowI don't knowNoNoNoI don't knowNaNNoNoNoNoI don't knowI don't knowNaNNoNoNoNoNoNoNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseTrueFalseFalseFalseCivil society organisationsIndependent expert bodiesData protection authoritiesNaNNaNNaNData protection authoritiesCivil society organisationsIndependent expert bodiesJudicial oversight bodiesNaNNaNParliamentary oversight bodiesJudicial oversight bodiesData protection authoritiesNaNNaNNaNManMedia Scrutiny
15Germany12.0Full-time6.0FalseFalseTrueTrueFalseFalseTrueI had enough time5.0Basic knowledgeBasic knowledgeSome knowledgeSufficient fundingNoYes3.0Yes, within 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNoI don't know3.03.0Somewhat regularlyTrueFalseFalseTrueTrueFalseFalseFalseFalseTrueTrueFalseFalseFalseTrueFalseFalseOftenNeverNaNTrueTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseFalseVery importantImportantVery importantI prefer not to saySlightly importantImportantImportantVery importantImportantVery importantSomewhat importantI don't knowNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsOftenNoYesI don't knowNaNYesNaNI don't knowNaNI don't knowI prefer not to sayNaNNaNNoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
16Germany6.0NaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
17Germany18.0Full-time1.0FalseFalseFalseFalseFalseTrueFalseI had no time7.0No knowledgeBasic knowledgeSome knowledgeNo fundingNoNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseI don't knowI don't know0.00.0Rarely or neverTrueFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueTrueTrueOftenSometimes (50% of the time)NoTrueTrueTrueFalseTrueFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseVery importantNaNVery importantNoVery importantImportantVery importantVery importantVery importantImportantSomewhat importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsAlwaysNoNoNoNaNNoNoNaNNaNVery commonI don't knowNaNNaNNoNaNNaNNoI don't knowNaNNaNNaNI don't knowNoNaNNoNoNoNoYesNoNoNoNoNoNoNoNoYesEinladung zur bezahlten Mitarbeit an Thinktanks, die gepopolitische Ziele verfolgen, z.b. gegen China.NoNoNoNoNoNoNaNNoNoNoNoNoNaNNaNI prefer not to sayIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseTrueFalseFalseFalseCivil society organisationsIndependent expert bodiesParliamentary oversight bodiesJudicial oversight bodiesData protection authoritiesNaNCivil society organisationsIndependent expert bodiesJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesAudit courtsJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesAudit courtsNaNNaNManMedia Scrutiny
18Germany18.0Full-time5.0FalseTrueFalseFalseFalseFalseTrueI had some time35.0Some knowledgeAdvanced knowledgeAdvanced knowledgeLittle fundingNoNoNaNNaNNaNFalseTrueFalseTrueFalseFalseFalseFalseFalseFalseYesNo20.015.0RegularlyFalseFalseTrueTrueTrueFalseFalseFalseFalseFalseFalseTrueTrueFalseTrueFalseFalseOftenSometimes (50% of the time)YesFalseFalseFalseFalseTrueTrueTrueFalseFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseNaNVery importantVery importantYesVery importantImportantSomewhat importantVery importantVery importantVery importantVery importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsOftenNoYesYesNaNYesNoNaNNaNVery commonYesYesNoYesNo my request(s) were not responded to in a timely manner and often took longer than 30 daysPartly, the information provided was somewhat helpful but contained omissionsNoNoNaNNaNNaNNoNoNaNNoNoNoNoNoNoNoYesNoNoNoNoYesNaNNaNNoNoNoNoNoNaNNaNNoNoYesNoNoNaNNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseCivil society organisationsIndependent expert bodiesData protection authoritiesParliamentary oversight bodiesNaNNaNJudicial oversight bodiesData protection authoritiesCivil society organisationsNaNNaNNaNParliamentary oversight bodiesJudicial oversight bodiesNaNNaNNaNNaNManMedia Scrutiny
19Germany15.0Full-time2.0FalseFalseFalseFalseFalseTrueFalseI had some time5.0Advanced knowledgeAdvanced knowledgeBasic knowledgeNo fundingYesNoNaNNaNNaNFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseNoI don't know10.01.0RegularlyTrueFalseFalseFalseTrueFalseFalseFalseFalseTrueFalseTrueFalseFalseFalseFalseFalseRarelyNeverNaNFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseVery importantImportantVery importantNoSlightly importantImportantSomewhat importantImportantSlightly importantVery importantSlightly importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesI prefer not to sayYesI don't knowNaNYesNoNaNNaNVery commonYesNoI don't knowNoNaNNaNYesI don't know7.0NoNoI don't knowNoNaNNoNoNoNoNoNoNoYesNoNoNoYesNoNaNNaNNoNoNoNoNoNoNaNNoNoYesNoNoNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
20Germany6.0Freelance2.0FalseFalseTrueFalseFalseFalseFalseI had very little time11.0Some knowledgeAdvanced knowledgeAdvanced knowledgeSome fundingNoNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseYesYesNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
21Germany18.0Full-time21.0FalseFalseTrueTrueFalseFalseTrueI had enough time20.0Expert knowledgeAdvanced knowledgeAdvanced knowledgeA great deal of fundingYesYes2.0No, usually longer than 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseYesI don't know30.05.0RegularlyTrueTrueTrueFalseTrueFalseFalseFalseFalseTrueTrueTrueFalseFalseTrueFalseFalseSometimesRarely (25% of the time)NaNFalseTrueFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseVery importantVery importantVery importantYesSomewhat importantImportantSlightly importantVery importantVery importantImportantSomewhat importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsOftenYesYesYesI don't knowYesNoNoNaNVery commonNoNaNNaNYesNo my request(s) were not responded to in a timely manner and often took longer than 30 daysPartly, the information provided was somewhat helpful but contained omissionsYesNo10.0NoYesI don't knowNoNaNNoNoNoNoNoNoNoNoNoYesNoYesYesNaNNaNNoNoNoNoNoNoNaNNoNoYesNoNoNoNaNIntelligence agencies are a vital component of national <br>security and should be shielded from excessive bureaucratic <br>restrictionsIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueFalseFalseFalseTrueTrueFalseJudicial oversight bodiesData protection authoritiesAudit courtsIndependent expert bodiesParliamentary oversight bodiesCivil society organisationsJudicial oversight bodiesData protection authoritiesAudit courtsCivil society organisationsParliamentary oversight bodiesIndependent expert bodiesJudicial oversight bodiesData protection authoritiesAudit courtsIndependent expert bodiesParliamentary oversight bodiesCivil society organisationsManMedia Scrutiny
22Germany7.0NaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
23Germany18.0Full-time6.0FalseTrueFalseFalseFalseFalseFalseI had very little time14.0Some knowledgeAdvanced knowledgeBasic knowledgeA great deal of fundingNoNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueTrueFalseFalseYesNo12.09.0RegularlyTrueFalseTrueTrueTrueFalseFalseFalseFalseTrueTrueTrueFalseTrueTrueFalseFalseOftenSometimes (50% of the time)NoFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseTrueTrueFalseTrueTrueFalseFalseFalseFalseFalseFalseImportantVery importantVery importantYesSomewhat importantVery importantNaNVery importantImportantVery importantImportantI don't knowNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsAlwaysNoYesYesI don't knowYesYesI don't knowNaNVery commonYesNoNoNoNaNNaNNoNoNaNNaNNaNYes, I suspectNoNaNNoNoNoNoNoNoNoNoNoNoNoYesYesYesBitte, von Berichterstattung wg Gefahr für Leib und Leben abzusehen.NoNoNoNoNoNoNaNNoNoYesYesNaNNoNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseTrueFalseFalseFalseCivil society organisationsIndependent expert bodiesJudicial oversight bodiesAudit courtsData protection authoritiesParliamentary oversight bodiesJudicial oversight bodiesParliamentary oversight bodiesAudit courtsData protection authoritiesIndependent expert bodiesCivil society organisationsJudicial oversight bodiesParliamentary oversight bodiesAudit courtsData protection authoritiesCivil society organisationsIndependent expert bodiesManMedia Scrutiny
24Germany18.0Full-time10.0FalseFalseFalseFalseFalseTrueFalseI had some time10.0Advanced knowledgeExpert knowledgeAdvanced knowledgeA great deal of fundingI don't knowYes10.0No, usually longer than 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseYesNo10.010.0RegularlyFalseFalseTrueTrueTrueFalseFalseTrueTrueFalseFalseTrueFalseTrueTrueTrueTrueRarelyRarely (25% of the time)NaNFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseTrueTrueTrueTrueTrueFalseFalseFalseFalseFalseVery importantImportantVery importantI prefer not to sayVery importantVery importantVery importantVery importantVery importantVery importantSlightly importantI prefer not to sayNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesI don't knowI don't knowI don't knowNaNNaNNaNNaNNaNCommonNoNaNNaNYesNo my request(s) were not responded to in a timely manner and often took longer than 30 daysNo, the information provided was not at all helpfulYesI don't knowNaNNoI prefer not to sayYes, I suspectYesI was threatened with prosecutionNoNoNoNoI don't knowNoYesNoNoYesNaNNoYesNaNNaNNoNoI don't knowNoNoYesMedium, vergangene BerichterstattungNaNNaNNaNNaNNaNNaNNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseFalseTrueFalseCivil society organisationsData protection authoritiesIndependent expert bodiesParliamentary oversight bodiesAudit courtsJudicial oversight bodiesCivil society organisationsParliamentary oversight bodiesIndependent expert bodiesJudicial oversight bodiesAudit courtsData protection authoritiesJudicial oversight bodiesParliamentary oversight bodiesAudit courtsData protection authoritiesIndependent expert bodiesCivil society organisationsManMedia Scrutiny
25Germany18.0Full-time5.0TrueFalseFalseFalseFalseTrueFalseI had some time7.0Some knowledgeAdvanced knowledgeSome knowledgeSufficient fundingYesNoNaNNaNNaNFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseI don't knowI don't know5.05.0Somewhat regularlyFalseFalseFalseFalseTrueFalseFalseTrueTrueTrueFalseTrueFalseTrueTrueFalseFalseRarelyRarely (25% of the time)NaNFalseTrueFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseVery importantVery importantVery importantYesSlightly importantSlightly importantVery importantVery importantVery importantVery importantSomewhat importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesYesI don't knowI don't knowNaNNoNoNaNNaNCommonNoNaNNaNYesYes, my request(s) were responded to in a timely manner of up to 30 daysPartly, the information provided was somewhat helpful but contained omissionsI prefer not to sayI don't knowNaNNaNNaNI prefer not to sayNoNaNNoNoNoNoNoNoNoNoNoNoNoI prefer not to sayI prefer not to sayI prefer not to sayNaNNoNoNoNoNoNaNNaNNoNoNoNoNoNaNNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseJudicial oversight bodiesCivil society organisationsParliamentary oversight bodiesIndependent expert bodiesData protection authoritiesAudit courtsJudicial oversight bodiesParliamentary oversight bodiesAudit courtsData protection authoritiesIndependent expert bodiesCivil society organisationsJudicial oversight bodiesAudit courtsParliamentary oversight bodiesData protection authoritiesCivil society organisationsIndependent expert bodiesManMedia Scrutiny
26Germany18.0Full-time2.0FalseFalseFalseTrueFalseTrueFalseI had enough time20.0Expert knowledgeExpert knowledgeSome knowledgeSufficient fundingI don't knowNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueTrueFalseFalseYesI don't know10.05.0Somewhat regularlyTrueFalseTrueTrueFalseFalseFalseTrueTrueTrueFalseTrueTrueTrueTrueFalseFalseOftenNeverNaNFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueImportantImportantVery importantNoSomewhat importantSomewhat importantSlightly importantVery importantVery importantVery importantNot important at allNot important at allNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleNeverYesYesI don't knowNaNYesNoNaNNaNI don't knowYesNoYesNoNaNNaNNoNoNaNNaNNaNI don't knowNoNaNNoNoNoNoNoNoNoNoNoNoNoNoYesNaNNaNNoNoNoNoNoNoNaNNoNoNoNoNoNoNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseTrueFalseFalseFalseJudicial oversight bodiesCivil society organisationsIndependent expert bodiesData protection authoritiesParliamentary oversight bodiesNaNJudicial oversight bodiesCivil society organisationsIndependent expert bodiesData protection authoritiesParliamentary oversight bodiesNaNJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesCivil society organisationsNaNNaNManMedia Scrutiny
27Germany18.0Freelance4.0FalseFalseFalseFalseFalseTrueFalseI had some timeNaNExpert knowledgeExpert knowledgeAdvanced knowledgeSome fundingI don't knowNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseI don't knowI don't know40.040.0RegularlyTrueTrueTrueTrueFalseFalseFalseFalseFalseFalseFalseTrueTrueTrueTrueFalseFalseSometimesNeverNaNFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseImportantImportantVery importantNoImportantSomewhat importantSlightly importantImportantImportantSomewhat importantSomewhat importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesNoNoNoNaNNoNoNaNNaNCommonNoNaNNaNNoNaNNaNNoNoNaNNaNNaNI don't knowNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNaNNoNoNoNoNoNaNNaNNoNoNoNoNoNaNNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseJudicial oversight bodiesParliamentary oversight bodiesIndependent expert bodiesAudit courtsData protection authoritiesCivil society organisationsCivil society organisationsData protection authoritiesNaNNaNNaNNaNJudicial oversight bodiesParliamentary oversight bodiesNaNNaNNaNNaNManMedia Scrutiny
28Germany7.0Full-timeNaNFalseFalseFalseTrueFalseFalseFalseI don't know30.0Advanced knowledgeSome knowledgeNo knowledgeSome fundingI don't knowNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueTrueFalseFalseI don't knowI don't knowNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
29Germany18.0Full-time5.0FalseFalseFalseFalseFalseFalseFalseI had some time10.0Some knowledgeAdvanced knowledgeSome knowledgeLittle fundingNoNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseNoNo15.015.0RegularlyTrueFalseTrueTrueTrueFalseFalseFalseFalseTrueFalseTrueTrueTrueTrueFalseFalseSometimesRarely (25% of the time)NaNFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueFalseFalseTrueTrueTrueFalseFalseFalseFalseFalseVery importantVery importantVery importantI prefer not to sayVery importantVery importantVery importantVery importantVery importantVery importantVery importantNaNNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleAlwaysNoYesI don't knowI don't knowNoNoNoNaNI don't knowNoNaNNaNYesNo my request(s) were not responded to in a timely manner and often took longer than 30 daysNo, the information provided was not at all helpfulI prefer not to sayI don't knowNaNNaNNaNYes, I have evidenceNoNaNNoNoNoNoNoNoYesI don't knowI don't knowI don't knowYesNoNoYesEine angebliche Zufallsbegegnung, als eine Bekannte mit "Freunden" zu einem Treffen erschien, von denen sich einer als BND-Mitarbeiter herausstellte. Ich gebe stets bei neuen Menschen im privaten Umfeld zu erkennen, das ich an sensiblen Themen arbeite, damit diese nicht in Probleme geraten, sollten sie z.B. im Rahmen einer Sicherheitsüberprüfung Journalistenkontakte einräumen müssen. Gleichzeitig erwarte ich einen offenen Umgang von Mitarbeiter*innen der Dienste sich zu outen, damit ich als Journalist Abstand nehmen kann. Bei der Zufallsbegegnung habe ich erst im Laufe des Abends und auf sehr viel Druck eine Bestätigung der BND-Zugehörigkeit erhalten und diese dann später über Einsicht in Arbeitsvertrag und Vorlage Dienstausweis bestätigt bekommen.NoNoYesNoNoI prefer not to sayNaNNoI don't knowI don't knowYesYesI don't knowNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseFalseTrueFalseCivil society organisationsData protection authoritiesAudit courtsNaNNaNNaNCivil society organisationsJudicial oversight bodiesData protection authoritiesNaNNaNNaNCivil society organisationsIndependent expert bodiesJudicial oversight bodiesNaNNaNNaNManMedia Scrutiny
30France6.0Full-time1.0FalseFalseFalseFalseFalseTrueFalseI had enough time12.0Some knowledgeSome knowledgeBasic knowledgeA great deal of fundingI don't knowYes2.0No, usually longer than 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNoNoNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
31France18.0Full-time10.0FalseFalseFalseFalseFalseTrueFalseI had some time10.0Advanced knowledgeSome knowledgeExpert knowledgeI don't knowI don't knowYes2.0No, usually longer than 30 daysNot helpful at allFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseI don't knowI don't know8.02.0SometimesFalseTrueFalseTrueTrueFalseFalseFalseFalseFalseFalseTrueTrueTrueTrueFalseFalseRarelySometimes (50% of the time)NoFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueVery importantImportantVery importantNoVery importantVery importantImportantVery importantVery importantVery importantSomewhat importantI don't knowNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleSometimesNoI don't knowI don't knowNaNI don't knowI don't knowNaNNaNSomewhat commonNoNaNNaNYesYes, my request(s) were responded to in a timely manner of up to 30 daysNo, the information provided was not at all helpfulNoI don't knowNaNNaNNaNYes, I suspectNoNaNNoNoNoYesYesNoYesNoNoNoNoYesNoNaNNaNNoNoYesNoNoNaNNaNYesYesNoYesNoNaNNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.FalseFalseTrueTrueTrueFalseFalseCivil society organisationsJudicial oversight bodiesData protection authoritiesNaNNaNNaNCivil society organisationsData protection authoritiesJudicial oversight bodiesParliamentary oversight bodiesNaNNaNJudicial oversight bodiesData protection authoritiesNaNNaNNaNNaNManMedia Scrutiny
32France18.0Full-time3.0TrueFalseFalseFalseFalseFalseFalseI had some time10.0Some knowledgeSome knowledgeSome knowledgeSome fundingNoYes4.0NeverNot helpful at allFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseI don't knowNo10.05.0Somewhat regularlyFalseTrueTrueFalseTrueFalseFalseFalseFalseFalseFalseTrueFalseTrueTrueFalseFalseSometimesRarely (25% of the time)NoFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseTrueFalseTrueFalseTrueFalseFalseFalseFalseFalseVery importantVery importantVery importantNoVery importantImportantImportantVery importantVery importantVery importantImportantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsAlwaysNoYesYesNaNNoNoNaNNaNCommonNoNaNNaNNoNaNNaNNoNoNaNNaNNaNI don't knowNoNaNNoNoYesNoNoNoI don't knowNoNoYesYesI prefer not to sayI prefer not to sayNaNNaNNoNoNoNoNoNaNNaNNoNoYesYesNoNaNNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseCivil society organisationsIndependent expert bodiesJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesNaNCivil society organisationsParliamentary oversight bodiesData protection authoritiesJudicial oversight bodiesIndependent expert bodiesAudit courtsCivil society organisationsJudicial oversight bodiesAudit courtsData protection authoritiesIndependent expert bodiesParliamentary oversight bodiesManMedia Scrutiny
33France18.0Full-time1.0FalseFalseFalseFalseFalseFalseFalseI had no time5.0Basic knowledgeBasic knowledgeBasic knowledgeNo fundingNoNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseI don't knowI don't know2.01.0Rarely or neverTrueFalseTrueTrueFalseFalseFalseTrueTrueFalseFalseTrueTrueTrueTrueFalseFalseOftenRarely (25% of the time)NoFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseTrueImportantImportantVery importantNoImportantImportantSlightly importantVery importantImportantImportantI don't knowI don't knowNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsI don't knowNoI don't knowI don't knowI don't knowNoNoNoNaNVery commonI don't knowNaNNaNNoNaNNaNNoI don't knowNaNNaNNaNI don't knowNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNoNoNoNoNoNoNaNI don't knowI don't knowI don't knowI don't knowI don't knowI don't knowNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesCivil society organisationsIndependent expert bodiesNaNCivil society organisationsJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesNaNNaNJudicial oversight bodiesParliamentary oversight bodiesCivil society organisationsNaNNaNNaNManMedia Scrutiny
34France10.0FreelanceNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
35France18.0Full-time7.0FalseFalseFalseFalseFalseFalseFalseI had some time8.0Some knowledgeSome knowledgeBasic knowledgeSufficient fundingYesNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseNoNo19.012.0RegularlyFalseTrueTrueTrueTrueFalseFalseFalseFalseFalseFalseTrueTrueTrueTrueFalseFalseOftenRarely (25% of the time)YesFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueTrueTrueFalseFalseTrueFalseFalseFalseFalseFalseImportantVery importantVery importantNoSomewhat importantSlightly importantSlightly importantVery importantImportantImportantSomewhat importantNaNNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesYesNoYesNaNNoNoNaNNaNVery commonNoNaNNaNNoNaNNaNYesNo10.0NoYesYes, I suspectNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNaNNoNoNoNoNoNaNNaNYesYesYesYesNoNaNNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseIndependent expert bodiesCivil society organisationsNaNNaNNaNNaNIndependent expert bodiesCivil society organisationsNaNNaNNaNNaNIndependent expert bodiesCivil society organisationsNaNNaNNaNNaNManMedia Scrutiny
36France18.0Freelance10.0TrueTrueFalseFalseFalseTrueFalseI had enough time22.0Advanced knowledgeAdvanced knowledgeAdvanced knowledgeSufficient fundingI don't knowNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseFalseNoNo100.033.0Very regularlyTrueFalseTrueFalseTrueFalseFalseTrueTrueFalseFalseFalseTrueFalseTrueTrueTrueSometimesRarely (25% of the time)YesFalseFalseFalseFalseFalseTrueTrueFalseFalseFalseFalseFalseFalseFalseFalseTrueFalseFalseTrueTrueFalseVery importantVery importantVery importantNoVery importantSlightly importantVery importantNaNVery importantVery importantImportantVery importantVous oubliez l'importance de l'OPSEC : les questions de sécurité (informatique, mais pas seulement) ne sauraient se résumer à nos seules communications et activités "en ligne"Technological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsRarelyYesNoNoYesNoNoYesCertains de mes articles, pas contre, m'ont permis d'obtenir des infos en "off", à défaut de "soutien institutionnel"Slightly commonNoNaNNaNYesYes, my request(s) were responded to in a timely manner of up to 30 daysPartly, the information provided was somewhat helpful but contained omissionsYesNo4.0NoNoYes, I suspectNoNaNNoNoNoNoNoNoNoNoNoNoNoI don't knowYesI don't knowNaNNoNoNoNoNoYesPar des militants de la société civile à qui mes fact-checks déplaisaient (je constate, à ce titre, que vous semblez avoir un biais, comme si le fait d'enquêter au sujet de services de renseignement exposait surtout les journalistes au risque d'être harcelé par les autorités; dans mon cas, mes enquêtes -que personne n'a contesté, arguments à l'appui- ont aussi et surtout été ignorées par les autres médias, plus prompts à relayer les articles sensationnalistes que les enquêtes factuelles).NoNoNoNoNoYesJ'ai fact-checké de nombreux articles consacrés à des techniques et services de renseignement et, bien que j'ai démontré qu'ils étaient en tout ou partie erronés, ils n'ont jamais été rectifiés (ni contestés, au demeurant); dit autrement : les problèmes auxquels j'ai pu être confrontés relèvent moins de la responsabilité des autorités et/ou services que de l'irresponsabilité de certains journalistes, médias et ONG qui relaient de fausses informations (au risque d'entraîner des crises politiques et/ou diplomatiques, comme je l'ai plusieurs fois documenté)Intelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight is mostly effective, however its <br>institutional design needs reform for oversight practitioners to reliably <br>uncover past misconduct and prevent future misconductTrueFalseFalseTrueFalseFalseFalseParliamentary oversight bodiesIndependent expert bodiesData protection authoritiesAudit courtsNaNNaNIndependent expert bodiesCivil society organisationsJudicial oversight bodiesNaNNaNNaNIndependent expert bodiesJudicial oversight bodiesCivil society organisationsNaNNaNNaNManMedia Scrutiny
\ No newline at end of file diff --git a/profiles/merged.html b/profiles/merged.html deleted file mode 100644 index b8d62d6..0000000 --- a/profiles/merged.html +++ /dev/null @@ -1,57848 +0,0 @@ -Pandas Profiling Report (MS & CS)

Overview

Dataset statistics

Number of variables90
Number of observations75
Missing cells2153
Missing cells (%)31.9%
Total size in memory44.7 KiB
Average record size in memory609.7 B

Variable types

Categorical70
Numeric4
Boolean16

Warnings

foi5[afraid_of_discrimination] has constant value "False" Constant
constraintinter3 has constant value "I was threatened with prosecution" Constant
constraintinter6[ethnicity] has constant value "No" Constant
constraintinter6[sexual] has constant value "No" Constant
hr1 has 2 (2.7%) missing values Missing
hr2 has 6 (8.0%) missing values Missing
expertise1 has 9 (12.0%) missing values Missing
expertise2 has 5 (6.7%) missing values Missing
expertise3 has 5 (6.7%) missing values Missing
expertise4 has 5 (6.7%) missing values Missing
finance1 has 8 (10.7%) missing values Missing
foi1 has 10 (13.3%) missing values Missing
foi2 has 57 (76.0%) missing values Missing
foi3 has 57 (76.0%) missing values Missing
foi4 has 57 (76.0%) missing values Missing
protectops1[sectraining] has 22 (29.3%) missing values Missing
protectops1[e2e] has 21 (28.0%) missing values Missing
protectops2 has 24 (32.0%) missing values Missing
protectops3[encrypted_email] has 20 (26.7%) missing values Missing
protectops3[vpn] has 20 (26.7%) missing values Missing
protectops3[tor] has 21 (28.0%) missing values Missing
protectops3[e2e_chat] has 22 (29.3%) missing values Missing
protectops3[encrypted_hardware] has 20 (26.7%) missing values Missing
protectops3[2fa] has 21 (28.0%) missing values Missing
protectops3[other] has 55 (73.3%) missing values Missing
protectops4 has 20 (26.7%) missing values Missing
protectleg1 has 21 (28.0%) missing values Missing
protectleg2 has 22 (29.3%) missing values Missing
protectleg3[free_counsel] has 25 (33.3%) missing values Missing
protectleg3[cost_insurance] has 25 (33.3%) missing values Missing
protectleg3[other] has 52 (69.3%) missing values Missing
constraintinter1 has 25 (33.3%) missing values Missing
constraintinter2 has 24 (32.0%) missing values Missing
constraintinter3 has 73 (97.3%) missing values Missing
constraintinter4[police_search] has 26 (34.7%) missing values Missing
constraintinter4[seizure] has 26 (34.7%) missing values Missing
constraintinter4[extortion] has 28 (37.3%) missing values Missing
constraintinter4[violent_threat] has 27 (36.0%) missing values Missing
constraintinter4[inspection_during_travel] has 26 (34.7%) missing values Missing
constraintinter4[detention] has 26 (34.7%) missing values Missing
constraintinter4[surveillance_signalling] has 25 (33.3%) missing values Missing
constraintinter4[online_harassment] has 26 (34.7%) missing values Missing
constraintinter4[entry_on_deny_lists] has 26 (34.7%) missing values Missing
constraintinter4[exclusion_from_events] has 26 (34.7%) missing values Missing
constraintinter4[public_defamation] has 26 (34.7%) missing values Missing
constraintinter5[unsolicited_information] has 24 (32.0%) missing values Missing
constraintinter5[invitations] has 24 (32.0%) missing values Missing
constraintinter5[other] has 49 (65.3%) missing values Missing
constraintinter6[gender] has 27 (36.0%) missing values Missing
constraintinter6[ethnicity] has 27 (36.0%) missing values Missing
constraintinter6[political] has 27 (36.0%) missing values Missing
constraintinter6[sexual] has 27 (36.0%) missing values Missing
constraintinter6[religious] has 27 (36.0%) missing values Missing
constraintinter6[other] has 43 (57.3%) missing values Missing
attitude1 has 26 (34.7%) missing values Missing
attitude2 has 26 (34.7%) missing values Missing
attitude4[1] has 30 (40.0%) missing values Missing
attitude4[2] has 30 (40.0%) missing values Missing
attitude4[3] has 33 (44.0%) missing values Missing
attitude4[4] has 43 (57.3%) missing values Missing
attitude4[5] has 48 (64.0%) missing values Missing
attitude4[6] has 55 (73.3%) missing values Missing
attitude5[1] has 31 (41.3%) missing values Missing
attitude5[2] has 36 (48.0%) missing values Missing
attitude5[3] has 40 (53.3%) missing values Missing
attitude5[4] has 49 (65.3%) missing values Missing
attitude5[5] has 54 (72.0%) missing values Missing
attitude5[6] has 55 (73.3%) missing values Missing
attitude6[1] has 33 (44.0%) missing values Missing
attitude6[2] has 36 (48.0%) missing values Missing
attitude6[3] has 45 (60.0%) missing values Missing
attitude6[4] has 54 (72.0%) missing values Missing
attitude6[5] has 56 (74.7%) missing values Missing
attitude6[6] has 56 (74.7%) missing values Missing
hr2 has 3 (4.0%) zeros Zeros

Reproduction

Analysis started2021-07-28 08:40:02.986299
Analysis finished2021-07-28 08:40:03.340092
Duration0.35 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

country
Categorical

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size728.0 B
Germany
39 
United Kingdom
22 
France
14 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnited Kingdom
2nd rowUnited Kingdom
3rd rowUnited Kingdom
4th rowUnited Kingdom
5th rowUnited Kingdom

Common Values

ValueCountFrequency (%)
Germany39
52.0%
United Kingdom22
29.3%
France14
 
18.7%

Pie chart

2021-07-28T10:40:03.715981image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

lastpage
Real number (ℝ≥0)

Distinct16
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.57333333
Minimum3
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size728.0 B
2021-07-28T10:40:03.818303image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.7
Q113.5
median18
Q323
95-th percentile23
Maximum23
Range20
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation6.508151507
Coefficient of variation (CV)0.392688144
Kurtosis-0.5688874061
Mean16.57333333
Median Absolute Deviation (MAD)5
Skewness-0.854512814
Sum1243
Variance42.35603604
MonotonicityNot monotonic
2021-07-28T10:40:03.926719image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
1826
34.7%
2324
32.0%
65
 
6.7%
33
 
4.0%
53
 
4.0%
173
 
4.0%
72
 
2.7%
191
 
1.3%
111
 
1.3%
161
 
1.3%
Other values (6)6
 
8.0%
ValueCountFrequency (%)
33
4.0%
41
 
1.3%
53
4.0%
65
6.7%
72
 
2.7%
ValueCountFrequency (%)
2324
32.0%
191
 
1.3%
1826
34.7%
173
 
4.0%
161
 
1.3%

hr1
Categorical

MISSING

Distinct5
Distinct (%)6.8%
Missing2
Missing (%)2.7%
Memory size728.0 B
Full-time
49 
Freelance
11 
Part-time (>50%)
10 
Other
 
2
Part-time (<50%)
 
1

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st rowPart-time (<50%)
2nd rowFull-time
3rd rowFull-time
4th rowFreelance
5th rowFull-time

Common Values

ValueCountFrequency (%)
Full-time49
65.3%
Freelance11
 
14.7%
Part-time (>50%)10
 
13.3%
Other2
 
2.7%
Part-time (<50%)1
 
1.3%
(Missing)2
 
2.7%

Pie chart

2021-07-28T10:40:04.127023image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

hr2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct12
Distinct (%)17.4%
Missing6
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean4.101449275
Minimum0
Maximum21
Zeros3
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size728.0 B
2021-07-28T10:40:04.229028image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q12
median3
Q35
95-th percentile15
Maximum21
Range21
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.17237035
Coefficient of variation (CV)1.017291711
Kurtosis4.571951749
Mean4.101449275
Median Absolute Deviation (MAD)2
Skewness2.101710009
Sum283
Variance17.40867434
MonotonicityNot monotonic
2021-07-28T10:40:04.339987image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
216
21.3%
111
14.7%
410
13.3%
38
10.7%
57
9.3%
154
 
5.3%
104
 
5.3%
03
 
4.0%
0.52
 
2.7%
62
 
2.7%
Other values (2)2
 
2.7%
(Missing)6
 
8.0%
ValueCountFrequency (%)
03
 
4.0%
0.52
 
2.7%
111
14.7%
216
21.3%
38
10.7%
ValueCountFrequency (%)
211
 
1.3%
154
5.3%
104
5.3%
71
 
1.3%
62
2.7%

gender
Categorical

Distinct3
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size728.0 B
Male
39 
Other
31 
Female
5 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMale
2nd rowOther
3rd rowMale
4th rowMale
5th rowMale

Common Values

ValueCountFrequency (%)
Male39
52.0%
Other31
41.3%
Female5
 
6.7%

Pie chart

2021-07-28T10:40:04.544428image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

expertise1
Real number (ℝ≥0)

MISSING

Distinct22
Distinct (%)33.3%
Missing9
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean11.5530303
Minimum0.5
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size728.0 B
2021-07-28T10:40:04.628754image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile2
Q15
median10
Q315
95-th percentile26
Maximum40
Range39.5
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.688687954
Coefficient of variation (CV)0.7520700393
Kurtosis1.126035941
Mean11.5530303
Median Absolute Deviation (MAD)5
Skewness1.226901214
Sum762.5
Variance75.49329837
MonotonicityNot monotonic
2021-07-28T10:40:04.754857image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1012
16.0%
57
9.3%
205
 
6.7%
75
 
6.7%
124
 
5.3%
44
 
5.3%
24
 
5.3%
153
 
4.0%
253
 
4.0%
263
 
4.0%
Other values (12)16
21.3%
(Missing)9
12.0%
ValueCountFrequency (%)
0.51
 
1.3%
11
 
1.3%
24
5.3%
32
2.7%
44
5.3%
ValueCountFrequency (%)
401
 
1.3%
351
 
1.3%
301
 
1.3%
263
4.0%
253
4.0%

expertise2
Categorical

MISSING

Distinct5
Distinct (%)7.1%
Missing5
Missing (%)6.7%
Memory size728.0 B
Advanced knowledge
26 
Some knowledge
19 
Basic knowledge
14 
Expert knowledge
9 
No knowledge
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSome knowledge
2nd rowAdvanced knowledge
3rd rowAdvanced knowledge
4th rowAdvanced knowledge
5th rowAdvanced knowledge

Common Values

ValueCountFrequency (%)
Advanced knowledge26
34.7%
Some knowledge19
25.3%
Basic knowledge14
18.7%
Expert knowledge9
 
12.0%
No knowledge2
 
2.7%
(Missing)5
 
6.7%

Pie chart

2021-07-28T10:40:04.956141image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

expertise3
Categorical

MISSING

Distinct5
Distinct (%)7.1%
Missing5
Missing (%)6.7%
Memory size728.0 B
Advanced knowledge
28 
Some knowledge
22 
Expert knowledge
12 
Basic knowledge
7 
No knowledge
 
1

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st rowSome knowledge
2nd rowSome knowledge
3rd rowAdvanced knowledge
4th rowAdvanced knowledge
5th rowAdvanced knowledge

Common Values

ValueCountFrequency (%)
Advanced knowledge28
37.3%
Some knowledge22
29.3%
Expert knowledge12
16.0%
Basic knowledge7
 
9.3%
No knowledge1
 
1.3%
(Missing)5
 
6.7%

Pie chart

2021-07-28T10:40:05.143036image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

expertise4
Categorical

MISSING

Distinct5
Distinct (%)7.1%
Missing5
Missing (%)6.7%
Memory size728.0 B
Some knowledge
32 
Advanced knowledge
16 
Basic knowledge
16 
Expert knowledge
4 
No knowledge
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSome knowledge
2nd rowSome knowledge
3rd rowSome knowledge
4th rowAdvanced knowledge
5th rowAdvanced knowledge

Common Values

ValueCountFrequency (%)
Some knowledge32
42.7%
Advanced knowledge16
21.3%
Basic knowledge16
21.3%
Expert knowledge4
 
5.3%
No knowledge2
 
2.7%
(Missing)5
 
6.7%

Pie chart

2021-07-28T10:40:05.339134image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

finance1
Categorical

MISSING

Distinct7
Distinct (%)10.4%
Missing8
Missing (%)10.7%
Memory size728.0 B
Some funding
17 
Sufficient funding
16 
Little funding
13 
No funding
9 
I don't know
5 
Other values (2)
7 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLittle funding
2nd rowSufficient funding
3rd rowLittle funding
4th rowLittle funding
5th rowLittle funding

Common Values

ValueCountFrequency (%)
Some funding17
22.7%
Sufficient funding16
21.3%
Little funding13
17.3%
No funding9
12.0%
I don't know5
 
6.7%
A great deal of funding4
 
5.3%
I prefer not to say3
 
4.0%
(Missing)8
10.7%

Pie chart

2021-07-28T10:40:05.555175image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

foi1
Categorical

MISSING

Distinct3
Distinct (%)4.6%
Missing10
Missing (%)13.3%
Memory size728.0 B
No
46 
Yes
18 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No46
61.3%
Yes18
 
24.0%
I prefer not to say1
 
1.3%
(Missing)10
 
13.3%

Pie chart

2021-07-28T10:40:05.734568image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

foi2
Real number (ℝ≥0)

MISSING

Distinct8
Distinct (%)44.4%
Missing57
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean7.833333333
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size728.0 B
2021-07-28T10:40:05.916398image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.85
Q12
median4.5
Q313.75
95-th percentile20
Maximum20
Range19
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation7.477416981
Coefficient of variation (CV)0.9545638699
Kurtosis-0.9370263055
Mean7.833333333
Median Absolute Deviation (MAD)2.5
Skewness0.9371194696
Sum141
Variance55.91176471
MonotonicityNot monotonic
2021-07-28T10:40:06.032530image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
25
 
6.7%
204
 
5.3%
53
 
4.0%
32
 
2.7%
151
 
1.3%
11
 
1.3%
101
 
1.3%
41
 
1.3%
(Missing)57
76.0%
ValueCountFrequency (%)
11
 
1.3%
25
6.7%
32
 
2.7%
41
 
1.3%
53
4.0%
ValueCountFrequency (%)
204
5.3%
151
 
1.3%
101
 
1.3%
53
4.0%
41
 
1.3%

foi3
Categorical

MISSING

Distinct4
Distinct (%)22.2%
Missing57
Missing (%)76.0%
Memory size728.0 B
No, usually longer than 30 days
12 
Yes, within 30 days
4 
I don't know
 
1
Never
 
1

Unique

Unique2 ?
Unique (%)11.1%

Sample

1st rowI don't know
2nd rowNo, usually longer than 30 days
3rd rowYes, within 30 days
4th rowNo, usually longer than 30 days
5th rowNo, usually longer than 30 days

Common Values

ValueCountFrequency (%)
No, usually longer than 30 days12
 
16.0%
Yes, within 30 days4
 
5.3%
I don't know1
 
1.3%
Never1
 
1.3%
(Missing)57
76.0%

Pie chart

2021-07-28T10:40:06.234743image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

foi4
Categorical

MISSING

Distinct3
Distinct (%)16.7%
Missing57
Missing (%)76.0%
Memory size728.0 B
Helpful in parts
11 
Not helpful at all
6 
Very helpful
 
1

Unique

Unique1 ?
Unique (%)5.6%

Sample

1st rowNot helpful at all
2nd rowHelpful in parts
3rd rowHelpful in parts
4th rowNot helpful at all
5th rowHelpful in parts

Common Values

ValueCountFrequency (%)
Helpful in parts11
 
14.7%
Not helpful at all6
 
8.0%
Very helpful1
 
1.3%
(Missing)57
76.0%

Pie chart

2021-07-28T10:40:06.391016image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

foi5[not_aware]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
False
74 
True
 
1
ValueCountFrequency (%)
False74
98.7%
True1
 
1.3%
2021-07-28T10:40:06.441084image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

foi5[not_covered]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
False
60 
True
15 
ValueCountFrequency (%)
False60
80.0%
True15
 
20.0%
2021-07-28T10:40:06.487006image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

foi5[too_expensive]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
False
73 
True
 
2
ValueCountFrequency (%)
False73
97.3%
True2
 
2.7%
2021-07-28T10:40:06.528548image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

foi5[too_time_consuming]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
False
61 
True
14 
ValueCountFrequency (%)
False61
81.3%
True14
 
18.7%
2021-07-28T10:40:06.570412image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

foi5[afraid_of_data_destruction]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
False
74 
True
 
1
ValueCountFrequency (%)
False74
98.7%
True1
 
1.3%
2021-07-28T10:40:06.612145image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

foi5[afraid_of_discrimination]
Boolean

CONSTANT
REJECTED

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size203.0 B
False
75 
ValueCountFrequency (%)
False75
100.0%
2021-07-28T10:40:06.655110image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

foi5[other]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
False
63 
True
12 
ValueCountFrequency (%)
False63
84.0%
True12
 
16.0%
2021-07-28T10:40:06.690474image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

foi5[dont_know]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
False
74 
True
 
1
ValueCountFrequency (%)
False74
98.7%
True1
 
1.3%
2021-07-28T10:40:06.729947image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

foi5[prefer_not_to_say]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
False
72 
True
 
3
ValueCountFrequency (%)
False72
96.0%
True3
 
4.0%
2021-07-28T10:40:06.769248image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectops1[sectraining]
Categorical

MISSING

Distinct4
Distinct (%)7.5%
Missing22
Missing (%)29.3%
Memory size728.0 B
Yes
33 
No
17 
I prefer not to say
 
2
I don't know
 
1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st rowNo
2nd rowYes
3rd rowYes
4th rowNo
5th rowYes

Common Values

ValueCountFrequency (%)
Yes33
44.0%
No17
22.7%
I prefer not to say2
 
2.7%
I don't know1
 
1.3%
(Missing)22
29.3%

Pie chart

2021-07-28T10:40:06.929587image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectops1[e2e]
Categorical

MISSING

Distinct3
Distinct (%)5.6%
Missing21
Missing (%)28.0%
Memory size728.0 B
Yes
51 
I prefer not to say
 
2
No
 
1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st rowNo
2nd rowYes
3rd rowYes
4th rowYes
5th rowYes

Common Values

ValueCountFrequency (%)
Yes51
68.0%
I prefer not to say2
 
2.7%
No1
 
1.3%
(Missing)21
28.0%

Pie chart

2021-07-28T10:40:07.097444image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectops2
Categorical

MISSING

Distinct4
Distinct (%)7.8%
Missing24
Missing (%)32.0%
Memory size728.0 B
No
26 
Yes
21 
I prefer not to say
3 
I don't know
 
1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st rowNo
2nd rowYes
3rd rowNo
4th rowYes
5th rowNo

Common Values

ValueCountFrequency (%)
No26
34.7%
Yes21
28.0%
I prefer not to say3
 
4.0%
I don't know1
 
1.3%
(Missing)24
32.0%

Pie chart

2021-07-28T10:40:07.259638image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectops3[encrypted_email]
Categorical

MISSING

Distinct6
Distinct (%)10.9%
Missing20
Missing (%)26.7%
Memory size728.0 B
Very important
23 
Somewhat important
9 
Important
9 
Slightly important
8 
Not important at all
4 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVery important
2nd rowSomewhat important
3rd rowImportant
4th rowSomewhat important
5th rowNot important at all

Common Values

ValueCountFrequency (%)
Very important23
30.7%
Somewhat important9
 
12.0%
Important9
 
12.0%
Slightly important8
 
10.7%
Not important at all4
 
5.3%
I prefer not to say2
 
2.7%
(Missing)20
26.7%

Pie chart

2021-07-28T10:40:07.426049image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectops3[vpn]
Categorical

MISSING

Distinct6
Distinct (%)10.9%
Missing20
Missing (%)26.7%
Memory size728.0 B
Very important
16 
Slightly important
14 
Important
13 
Somewhat important
8 
I prefer not to say
3 

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st rowVery important
2nd rowSomewhat important
3rd rowSomewhat important
4th rowSomewhat important
5th rowImportant

Common Values

ValueCountFrequency (%)
Very important16
21.3%
Slightly important14
18.7%
Important13
17.3%
Somewhat important8
 
10.7%
I prefer not to say3
 
4.0%
Not important at all1
 
1.3%
(Missing)20
26.7%

Pie chart

2021-07-28T10:40:07.735637image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectops3[tor]
Categorical

MISSING

Distinct7
Distinct (%)13.0%
Missing21
Missing (%)28.0%
Memory size728.0 B
Very important
13 
Slightly important
12 
Somewhat important
11 
Not important at all
8 
I prefer not to say
5 
Other values (2)
5 

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st rowVery important
2nd rowNot important at all
3rd rowSlightly important
4th rowNot important at all
5th rowNot important at all

Common Values

ValueCountFrequency (%)
Very important13
17.3%
Slightly important12
16.0%
Somewhat important11
14.7%
Not important at all8
 
10.7%
I prefer not to say5
 
6.7%
Important4
 
5.3%
I don't know1
 
1.3%
(Missing)21
28.0%

Pie chart

2021-07-28T10:40:07.938825image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectops3[e2e_chat]
Categorical

MISSING

Distinct5
Distinct (%)9.4%
Missing22
Missing (%)29.3%
Memory size728.0 B
Very important
36 
Important
9 
Somewhat important
4 
I prefer not to say
 
2
Slightly important
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVery important
2nd rowImportant
3rd rowImportant
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important36
48.0%
Important9
 
12.0%
Somewhat important4
 
5.3%
I prefer not to say2
 
2.7%
Slightly important2
 
2.7%
(Missing)22
29.3%

Pie chart

2021-07-28T10:40:08.129344image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectops3[encrypted_hardware]
Categorical

MISSING

Distinct5
Distinct (%)9.1%
Missing20
Missing (%)26.7%
Memory size728.0 B
Very important
28 
Important
14 
Slightly important
7 
Somewhat important
3 
I prefer not to say
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowVery important
2nd rowImportant
3rd rowImportant
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important28
37.3%
Important14
18.7%
Slightly important7
 
9.3%
Somewhat important3
 
4.0%
I prefer not to say3
 
4.0%
(Missing)20
26.7%

Pie chart

2021-07-28T10:40:08.298947image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectops3[2fa]
Categorical

MISSING

Distinct5
Distinct (%)9.3%
Missing21
Missing (%)28.0%
Memory size728.0 B
Very important
29 
Important
15 
Somewhat important
7 
I prefer not to say
 
2
I don't know
 
1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st rowVery important
2nd rowVery important
3rd rowImportant
4th rowVery important
5th rowVery important

Common Values

ValueCountFrequency (%)
Very important29
38.7%
Important15
20.0%
Somewhat important7
 
9.3%
I prefer not to say2
 
2.7%
I don't know1
 
1.3%
(Missing)21
28.0%

Pie chart

2021-07-28T10:40:08.482079image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectops3[other]
Categorical

MISSING

Distinct5
Distinct (%)25.0%
Missing55
Missing (%)73.3%
Memory size728.0 B
I don't know
8 
I prefer not to say
4 
Very important
4 
Not important at all
3 
Important
1 

Unique

Unique1 ?
Unique (%)5.0%

Sample

1st rowI don't know
2nd rowI prefer not to say
3rd rowImportant
4th rowI prefer not to say
5th rowVery important

Common Values

ValueCountFrequency (%)
I don't know8
 
10.7%
I prefer not to say4
 
5.3%
Very important4
 
5.3%
Not important at all3
 
4.0%
Important1
 
1.3%
(Missing)55
73.3%

Pie chart

2021-07-28T10:40:08.668496image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectops4
Categorical

MISSING

Distinct7
Distinct (%)12.7%
Missing20
Missing (%)26.7%
Memory size728.0 B
Technological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguards
39 
Under the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handle
9 
I don't know
 
2
I have no confidence in the protection offered by <br>technological tools
 
2
I prefer not to say
 
1
Other values (2)
 
2

Unique

Unique3 ?
Unique (%)5.5%

Sample

1st rowI don't know
2nd rowTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguards
3rd rowUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handle
4th rowTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguards
5th rowTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguards

Common Values

ValueCountFrequency (%)
Technological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguards39
52.0%
Under the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handle9
 
12.0%
I don't know2
 
2.7%
I have no confidence in the protection offered by <br>technological tools2
 
2.7%
I prefer not to say1
 
1.3%
I have full confidence that the right tools <br>will protect my communication from surveillance1
 
1.3%
I try to avoid technology-based communication whenever <br>possible when I work on intelligence-related issues1
 
1.3%
(Missing)20
26.7%

Pie chart

2021-07-28T10:40:08.854831image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectleg1
Categorical

MISSING

Distinct7
Distinct (%)13.0%
Missing21
Missing (%)28.0%
Memory size728.0 B
Sometimes
17 
Always
12 
Rarely
9 
Often
8 
I don't know
4 
Other values (2)
4 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAlways
2nd rowRarely
3rd rowI don't know
4th rowSometimes
5th rowAlways

Common Values

ValueCountFrequency (%)
Sometimes17
22.7%
Always12
16.0%
Rarely9
12.0%
Often8
 
10.7%
I don't know4
 
5.3%
I prefer not to say2
 
2.7%
Never2
 
2.7%
(Missing)21
28.0%

Pie chart

2021-07-28T10:40:09.097523image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectleg2
Categorical

MISSING

Distinct4
Distinct (%)7.5%
Missing22
Missing (%)29.3%
Memory size728.0 B
No
31 
Yes
11 
I don't know
7 
I prefer not to say
4 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowYes

Common Values

ValueCountFrequency (%)
No31
41.3%
Yes11
 
14.7%
I don't know7
 
9.3%
I prefer not to say4
 
5.3%
(Missing)22
29.3%

Pie chart

2021-07-28T10:40:09.285300image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectleg3[free_counsel]
Categorical

MISSING

Distinct4
Distinct (%)8.0%
Missing25
Missing (%)33.3%
Memory size728.0 B
Yes
19 
No
15 
I don't know
14 
I prefer not to say
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI don't know
2nd rowNo
3rd rowNo
4th rowYes
5th rowNo

Common Values

ValueCountFrequency (%)
Yes19
25.3%
No15
20.0%
I don't know14
18.7%
I prefer not to say2
 
2.7%
(Missing)25
33.3%

Pie chart

2021-07-28T10:40:09.464213image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectleg3[cost_insurance]
Categorical

MISSING

Distinct4
Distinct (%)8.0%
Missing25
Missing (%)33.3%
Memory size728.0 B
I don't know
20 
No
18 
Yes
10 
I prefer not to say
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI don't know
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
I don't know20
26.7%
No18
24.0%
Yes10
 
13.3%
I prefer not to say2
 
2.7%
(Missing)25
33.3%

Pie chart

2021-07-28T10:40:09.754354image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

protectleg3[other]
Categorical

MISSING

Distinct4
Distinct (%)17.4%
Missing52
Missing (%)69.3%
Memory size728.0 B
I don't know
13 
No
4 
I prefer not to say
3 
Yes
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI don't know
2nd rowNo
3rd rowNo
4th rowI don't know
5th rowI prefer not to say

Common Values

ValueCountFrequency (%)
I don't know13
 
17.3%
No4
 
5.3%
I prefer not to say3
 
4.0%
Yes3
 
4.0%
(Missing)52
69.3%

Pie chart

2021-07-28T10:40:09.914994image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter1
Categorical

MISSING

Distinct5
Distinct (%)10.0%
Missing25
Missing (%)33.3%
Memory size728.0 B
Yes, I suspect
16 
I don't know
15 
I prefer not to say
9 
No
5 
Yes, I have evidence
5 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI prefer not to say
2nd rowNo
3rd rowI prefer not to say
4th rowNo
5th rowYes, I have evidence

Common Values

ValueCountFrequency (%)
Yes, I suspect16
21.3%
I don't know15
20.0%
I prefer not to say9
 
12.0%
No5
 
6.7%
Yes, I have evidence5
 
6.7%
(Missing)25
33.3%

Pie chart

2021-07-28T10:40:10.087283image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter2
Categorical

MISSING

Distinct2
Distinct (%)3.9%
Missing24
Missing (%)32.0%
Memory size728.0 B
No
49 
Yes
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No49
65.3%
Yes2
 
2.7%
(Missing)24
32.0%

Pie chart

2021-07-28T10:40:10.249025image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter3
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)50.0%
Missing73
Missing (%)97.3%
Memory size728.0 B
I was threatened with prosecution
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI was threatened with prosecution
2nd rowI was threatened with prosecution

Common Values

ValueCountFrequency (%)
I was threatened with prosecution2
 
2.7%
(Missing)73
97.3%

Pie chart

2021-07-28T10:40:10.383317image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter4[police_search]
Categorical

MISSING

Distinct2
Distinct (%)4.1%
Missing26
Missing (%)34.7%
Memory size728.0 B
No
48 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No48
64.0%
I prefer not to say1
 
1.3%
(Missing)26
34.7%

Pie chart

2021-07-28T10:40:10.528697image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter4[seizure]
Categorical

MISSING

Distinct2
Distinct (%)4.1%
Missing26
Missing (%)34.7%
Memory size728.0 B
No
48 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No48
64.0%
I prefer not to say1
 
1.3%
(Missing)26
34.7%

Pie chart

2021-07-28T10:40:10.675639image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter4[extortion]
Categorical

MISSING

Distinct3
Distinct (%)6.4%
Missing28
Missing (%)37.3%
Memory size728.0 B
No
44 
I prefer not to say
 
2
Yes
 
1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No44
58.7%
I prefer not to say2
 
2.7%
Yes1
 
1.3%
(Missing)28
37.3%

Pie chart

2021-07-28T10:40:10.831479image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter4[violent_threat]
Categorical

MISSING

Distinct3
Distinct (%)6.2%
Missing27
Missing (%)36.0%
Memory size728.0 B
No
45 
I prefer not to say
 
2
Yes
 
1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No45
60.0%
I prefer not to say2
 
2.7%
Yes1
 
1.3%
(Missing)27
36.0%

Pie chart

2021-07-28T10:40:10.989907image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter4[inspection_during_travel]
Categorical

MISSING

Distinct4
Distinct (%)8.2%
Missing26
Missing (%)34.7%
Memory size728.0 B
No
38 
Yes
6 
I don't know
4 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No38
50.7%
Yes6
 
8.0%
I don't know4
 
5.3%
I prefer not to say1
 
1.3%
(Missing)26
34.7%

Pie chart

2021-07-28T10:40:11.157293image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter4[detention]
Categorical

MISSING

Distinct2
Distinct (%)4.1%
Missing26
Missing (%)34.7%
Memory size728.0 B
No
48 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No48
64.0%
I prefer not to say1
 
1.3%
(Missing)26
34.7%

Pie chart

2021-07-28T10:40:11.322704image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter4[surveillance_signalling]
Categorical

MISSING

Distinct4
Distinct (%)8.0%
Missing25
Missing (%)33.3%
Memory size728.0 B
No
32 
I don't know
8 
Yes
8 
I prefer not to say
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No32
42.7%
I don't know8
 
10.7%
Yes8
 
10.7%
I prefer not to say2
 
2.7%
(Missing)25
33.3%

Pie chart

2021-07-28T10:40:11.477641image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter4[online_harassment]
Categorical

MISSING

Distinct4
Distinct (%)8.2%
Missing26
Missing (%)34.7%
Memory size728.0 B
No
41 
Yes
 
4
I don't know
 
3
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No41
54.7%
Yes4
 
5.3%
I don't know3
 
4.0%
I prefer not to say1
 
1.3%
(Missing)26
34.7%

Pie chart

2021-07-28T10:40:11.784355image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter4[entry_on_deny_lists]
Categorical

MISSING

Distinct3
Distinct (%)6.1%
Missing26
Missing (%)34.7%
Memory size728.0 B
No
41 
I don't know
6 
I prefer not to say
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No41
54.7%
I don't know6
 
8.0%
I prefer not to say2
 
2.7%
(Missing)26
34.7%

Pie chart

2021-07-28T10:40:11.967400image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter4[exclusion_from_events]
Categorical

MISSING

Distinct4
Distinct (%)8.2%
Missing26
Missing (%)34.7%
Memory size728.0 B
No
35 
I don't know
7 
Yes
6 
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowYes

Common Values

ValueCountFrequency (%)
No35
46.7%
I don't know7
 
9.3%
Yes6
 
8.0%
I prefer not to say1
 
1.3%
(Missing)26
34.7%

Pie chart

2021-07-28T10:40:12.144628image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter4[public_defamation]
Categorical

MISSING

Distinct4
Distinct (%)8.2%
Missing26
Missing (%)34.7%
Memory size728.0 B
No
40 
Yes
5 
I don't know
 
3
I prefer not to say
 
1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st rowNo
2nd rowNo
3rd rowI don't know
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No40
53.3%
Yes5
 
6.7%
I don't know3
 
4.0%
I prefer not to say1
 
1.3%
(Missing)26
34.7%

Pie chart

2021-07-28T10:40:12.326806image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter5[unsolicited_information]
Categorical

MISSING

Distinct4
Distinct (%)7.8%
Missing24
Missing (%)32.0%
Memory size728.0 B
No
35 
Yes
7 
I prefer not to say
7 
I don't know
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowYes

Common Values

ValueCountFrequency (%)
No35
46.7%
Yes7
 
9.3%
I prefer not to say7
 
9.3%
I don't know2
 
2.7%
(Missing)24
32.0%

Pie chart

2021-07-28T10:40:12.493421image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter5[invitations]
Categorical

MISSING

Distinct4
Distinct (%)7.8%
Missing24
Missing (%)32.0%
Memory size728.0 B
No
28 
Yes
14 
I prefer not to say
7 
I don't know
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowYes
3rd rowYes
4th rowNo
5th rowYes

Common Values

ValueCountFrequency (%)
No28
37.3%
Yes14
18.7%
I prefer not to say7
 
9.3%
I don't know2
 
2.7%
(Missing)24
32.0%

Pie chart

2021-07-28T10:40:12.655460image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter5[other]
Categorical

MISSING

Distinct4
Distinct (%)15.4%
Missing49
Missing (%)65.3%
Memory size728.0 B
No
14 
I prefer not to say
5 
I don't know
4 
Yes
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowI prefer not to say
5th rowNo

Common Values

ValueCountFrequency (%)
No14
 
18.7%
I prefer not to say5
 
6.7%
I don't know4
 
5.3%
Yes3
 
4.0%
(Missing)49
65.3%

Pie chart

2021-07-28T10:40:12.815789image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter6[gender]
Categorical

MISSING

Distinct2
Distinct (%)4.2%
Missing27
Missing (%)36.0%
Memory size728.0 B
No
47 
Yes
 
1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No47
62.7%
Yes1
 
1.3%
(Missing)27
36.0%

Pie chart

2021-07-28T10:40:12.963323image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter6[ethnicity]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)2.1%
Missing27
Missing (%)36.0%
Memory size728.0 B
No
48 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No48
64.0%
(Missing)27
36.0%

Pie chart

2021-07-28T10:40:13.096749image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter6[political]
Categorical

MISSING

Distinct3
Distinct (%)6.2%
Missing27
Missing (%)36.0%
Memory size728.0 B
No
43 
Yes
 
3
I don't know
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No43
57.3%
Yes3
 
4.0%
I don't know2
 
2.7%
(Missing)27
36.0%

Pie chart

2021-07-28T10:40:13.236609image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter6[sexual]
Categorical

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)2.1%
Missing27
Missing (%)36.0%
Memory size728.0 B
No
48 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No48
64.0%
(Missing)27
36.0%

Pie chart

2021-07-28T10:40:13.376201image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter6[religious]
Categorical

MISSING

Distinct2
Distinct (%)4.2%
Missing27
Missing (%)36.0%
Memory size728.0 B
No
47 
I don't know
 
1

Unique

Unique1 ?
Unique (%)2.1%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No47
62.7%
I don't know1
 
1.3%
(Missing)27
36.0%

Pie chart

2021-07-28T10:40:13.503124image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

constraintinter6[other]
Categorical

MISSING

Distinct4
Distinct (%)12.5%
Missing43
Missing (%)57.3%
Memory size728.0 B
No
28 
Yes
 
2
I don't know
 
1
I prefer not to say
 
1

Unique

Unique2 ?
Unique (%)6.2%

Sample

1st rowNo
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo

Common Values

ValueCountFrequency (%)
No28
37.3%
Yes2
 
2.7%
I don't know1
 
1.3%
I prefer not to say1
 
1.3%
(Missing)43
57.3%

Pie chart

2021-07-28T10:40:13.756829image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude1
Categorical

MISSING

Distinct5
Distinct (%)10.2%
Missing26
Missing (%)34.7%
Memory size728.0 B
Intelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates
19 
Intelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimum
16 
I prefer not to say
7 
Intelligence agencies are incompatible with democratic <br>values and should be abolished
6 
Intelligence agencies are a vital component of national <br>security and should be shielded from excessive bureaucratic <br>restrictions
 
1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st rowIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimum
2nd rowIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates
3rd rowIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimum
4th rowIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates
5th rowIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates

Common Values

ValueCountFrequency (%)
Intelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandates19
25.3%
Intelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimum16
21.3%
I prefer not to say7
 
9.3%
Intelligence agencies are incompatible with democratic <br>values and should be abolished6
 
8.0%
Intelligence agencies are a vital component of national <br>security and should be shielded from excessive bureaucratic <br>restrictions1
 
1.3%
(Missing)26
34.7%

Pie chart

2021-07-28T10:40:13.936540image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude2
Categorical

MISSING

Distinct4
Distinct (%)8.2%
Missing26
Missing (%)34.7%
Memory size728.0 B
Intelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct
29 
Effective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.
13 
I prefer not to say
4 
Intelligence oversight is mostly effective, however its <br>institutional design needs reform for oversight practitioners to reliably <br>uncover past misconduct and prevent future misconduct
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.
2nd rowIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct
3rd rowIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct
4th rowIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct
5th rowIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct

Common Values

ValueCountFrequency (%)
Intelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconduct29
38.7%
Effective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.13
17.3%
I prefer not to say4
 
5.3%
Intelligence oversight is mostly effective, however its <br>institutional design needs reform for oversight practitioners to reliably <br>uncover past misconduct and prevent future misconduct3
 
4.0%
(Missing)26
34.7%

Pie chart

2021-07-28T10:40:14.149562image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude3[rule_of_law]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
True
38 
False
37 
ValueCountFrequency (%)
True38
50.7%
False37
49.3%
2021-07-28T10:40:14.250463image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude3[civil_liberties]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
True
39 
False
36 
ValueCountFrequency (%)
True39
52.0%
False36
48.0%
2021-07-28T10:40:14.288806image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude3[effectiveness_of_intel]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
False
69 
True
 
6
ValueCountFrequency (%)
False69
92.0%
True6
 
8.0%
2021-07-28T10:40:14.327898image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude3[legitimacy_of_intel]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
False
61 
True
14 
ValueCountFrequency (%)
False61
81.3%
True14
 
18.7%
2021-07-28T10:40:14.366798image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude3[trust_in_intel]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
False
70 
True
 
5
ValueCountFrequency (%)
False70
93.3%
True5
 
6.7%
2021-07-28T10:40:14.405001image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude3[critique_of_intel]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
False
47 
True
28 
ValueCountFrequency (%)
False47
62.7%
True28
37.3%
2021-07-28T10:40:14.443027image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude3[prefer_not_to_say]
Boolean

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size203.0 B
False
73 
True
 
2
ValueCountFrequency (%)
False73
97.3%
True2
 
2.7%
2021-07-28T10:40:14.481406image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude4[1]
Categorical

MISSING

Distinct6
Distinct (%)13.3%
Missing30
Missing (%)40.0%
Memory size728.0 B
CSOs | The media
23 
Independent expert bodies
8 
Judicial oversight bodies
7 
Parliamentary oversight bodies
4 
Audit courts
 
2

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st rowIndependent expert bodies
2nd rowCSOs | The media
3rd rowParliamentary oversight bodies
4th rowCSOs | The media
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
CSOs | The media23
30.7%
Independent expert bodies8
 
10.7%
Judicial oversight bodies7
 
9.3%
Parliamentary oversight bodies4
 
5.3%
Audit courts2
 
2.7%
Data protection authorities1
 
1.3%
(Missing)30
40.0%

Pie chart

2021-07-28T10:40:14.626656image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude4[2]
Categorical

MISSING

Distinct5
Distinct (%)11.1%
Missing30
Missing (%)40.0%
Memory size728.0 B
CSOs | The media
11 
Independent expert bodies
10 
Judicial oversight bodies
9 
Parliamentary oversight bodies
8 
Data protection authorities
7 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJudicial oversight bodies
2nd rowJudicial oversight bodies
3rd rowJudicial oversight bodies
4th rowParliamentary oversight bodies
5th rowJudicial oversight bodies

Common Values

ValueCountFrequency (%)
CSOs | The media11
 
14.7%
Independent expert bodies10
 
13.3%
Judicial oversight bodies9
 
12.0%
Parliamentary oversight bodies8
 
10.7%
Data protection authorities7
 
9.3%
(Missing)30
40.0%

Pie chart

2021-07-28T10:40:14.823196image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude4[3]
Categorical

MISSING

Distinct6
Distinct (%)14.3%
Missing33
Missing (%)44.0%
Memory size728.0 B
Data protection authorities
10 
Parliamentary oversight bodies
9 
Judicial oversight bodies
9 
Independent expert bodies
8 
CSOs | The media
4 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowData protection authorities
2nd rowParliamentary oversight bodies
3rd rowCSOs | The media
4th rowJudicial oversight bodies
5th rowCSOs | The media

Common Values

ValueCountFrequency (%)
Data protection authorities10
 
13.3%
Parliamentary oversight bodies9
 
12.0%
Judicial oversight bodies9
 
12.0%
Independent expert bodies8
 
10.7%
CSOs | The media4
 
5.3%
Audit courts2
 
2.7%
(Missing)33
44.0%

Pie chart

2021-07-28T10:40:15.017038image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude4[4]
Categorical

MISSING

Distinct6
Distinct (%)18.8%
Missing43
Missing (%)57.3%
Memory size728.0 B
Data protection authorities
9 
Judicial oversight bodies
6 
Independent expert bodies
6 
Audit courts
5 
Parliamentary oversight bodies
4 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCSOs | The media
2nd rowData protection authorities
3rd rowData protection authorities
4th rowJudicial oversight bodies
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
Data protection authorities9
 
12.0%
Judicial oversight bodies6
 
8.0%
Independent expert bodies6
 
8.0%
Audit courts5
 
6.7%
Parliamentary oversight bodies4
 
5.3%
CSOs | The media2
 
2.7%
(Missing)43
57.3%

Pie chart

2021-07-28T10:40:15.217425image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude4[5]
Categorical

MISSING

Distinct6
Distinct (%)22.2%
Missing48
Missing (%)64.0%
Memory size728.0 B
Data protection authorities
7 
Parliamentary oversight bodies
7 
Audit courts
5 
Independent expert bodies
5 
Judicial oversight bodies
2 

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st rowAudit courts
2nd rowIndependent expert bodies
3rd rowData protection authorities
4th rowAudit courts
5th rowParliamentary oversight bodies

Common Values

ValueCountFrequency (%)
Data protection authorities7
 
9.3%
Parliamentary oversight bodies7
 
9.3%
Audit courts5
 
6.7%
Independent expert bodies5
 
6.7%
Judicial oversight bodies2
 
2.7%
CSOs | The media1
 
1.3%
(Missing)48
64.0%

Pie chart

2021-07-28T10:40:15.413142image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude4[6]
Categorical

MISSING

Distinct5
Distinct (%)25.0%
Missing55
Missing (%)73.3%
Memory size728.0 B
Audit courts
11 
Parliamentary oversight bodies
3 
Data protection authorities
2 
Judicial oversight bodies
2 
CSOs | The media
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowParliamentary oversight bodies
2nd rowAudit courts
3rd rowAudit courts
4th rowData protection authorities
5th rowParliamentary oversight bodies

Common Values

ValueCountFrequency (%)
Audit courts11
 
14.7%
Parliamentary oversight bodies3
 
4.0%
Data protection authorities2
 
2.7%
Judicial oversight bodies2
 
2.7%
CSOs | The media2
 
2.7%
(Missing)55
73.3%

Pie chart

2021-07-28T10:40:15.717582image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude5[1]
Categorical

MISSING

Distinct5
Distinct (%)11.4%
Missing31
Missing (%)41.3%
Memory size728.0 B
CSOs | The media
19 
Judicial oversight bodies
17 
Independent expert bodies
6 
Parliamentary oversight bodies
 
1
Data protection authorities
 
1

Unique

Unique2 ?
Unique (%)4.5%

Sample

1st rowIndependent expert bodies
2nd rowCSOs | The media
3rd rowCSOs | The media
4th rowCSOs | The media
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
CSOs | The media19
25.3%
Judicial oversight bodies17
22.7%
Independent expert bodies6
 
8.0%
Parliamentary oversight bodies1
 
1.3%
Data protection authorities1
 
1.3%
(Missing)31
41.3%

Pie chart

2021-07-28T10:40:15.909320image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude5[2]
Categorical

MISSING

Distinct6
Distinct (%)15.4%
Missing36
Missing (%)48.0%
Memory size728.0 B
Data protection authorities
11 
Judicial oversight bodies
8 
Parliamentary oversight bodies
8 
CSOs | The media
6 
Independent expert bodies
4 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowData protection authorities
2nd rowJudicial oversight bodies
3rd rowJudicial oversight bodies
4th rowData protection authorities
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
Data protection authorities11
 
14.7%
Judicial oversight bodies8
 
10.7%
Parliamentary oversight bodies8
 
10.7%
CSOs | The media6
 
8.0%
Independent expert bodies4
 
5.3%
Audit courts2
 
2.7%
(Missing)36
48.0%

Pie chart

2021-07-28T10:40:16.091056image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude5[3]
Categorical

MISSING

Distinct6
Distinct (%)17.1%
Missing40
Missing (%)53.3%
Memory size728.0 B
Independent expert bodies
8 
Audit courts
7 
Parliamentary oversight bodies
6 
Data protection authorities
6 
CSOs | The media
4 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCSOs | The media
2nd rowParliamentary oversight bodies
3rd rowIndependent expert bodies
4th rowCSOs | The media
5th rowParliamentary oversight bodies

Common Values

ValueCountFrequency (%)
Independent expert bodies8
 
10.7%
Audit courts7
 
9.3%
Parliamentary oversight bodies6
 
8.0%
Data protection authorities6
 
8.0%
CSOs | The media4
 
5.3%
Judicial oversight bodies4
 
5.3%
(Missing)40
53.3%

Pie chart

2021-07-28T10:40:16.297993image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude5[4]
Categorical

MISSING

Distinct5
Distinct (%)19.2%
Missing49
Missing (%)65.3%
Memory size728.0 B
Data protection authorities
9 
Parliamentary oversight bodies
7 
Judicial oversight bodies
6 
CSOs | The media
3 
Audit courts
1 

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st rowJudicial oversight bodies
2nd rowParliamentary oversight bodies
3rd rowData protection authorities
4th rowJudicial oversight bodies
5th rowData protection authorities

Common Values

ValueCountFrequency (%)
Data protection authorities9
 
12.0%
Parliamentary oversight bodies7
 
9.3%
Judicial oversight bodies6
 
8.0%
CSOs | The media3
 
4.0%
Audit courts1
 
1.3%
(Missing)49
65.3%

Pie chart

2021-07-28T10:40:16.500495image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude5[5]
Categorical

MISSING

Distinct5
Distinct (%)23.8%
Missing54
Missing (%)72.0%
Memory size728.0 B
Independent expert bodies
9 
Parliamentary oversight bodies
4 
Data protection authorities
4 
Audit courts
3 
CSOs | The media
1 

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st rowParliamentary oversight bodies
2nd rowData protection authorities
3rd rowData protection authorities
4th rowAudit courts
5th rowData protection authorities

Common Values

ValueCountFrequency (%)
Independent expert bodies9
 
12.0%
Parliamentary oversight bodies4
 
5.3%
Data protection authorities4
 
5.3%
Audit courts3
 
4.0%
CSOs | The media1
 
1.3%
(Missing)54
72.0%

Pie chart

2021-07-28T10:40:16.690416image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude5[6]
Categorical

MISSING

Distinct5
Distinct (%)25.0%
Missing55
Missing (%)73.3%
Memory size728.0 B
Audit courts
10 
CSOs | The media
5 
Parliamentary oversight bodies
2 
Independent expert bodies
2 
Data protection authorities
 
1

Unique

Unique1 ?
Unique (%)5.0%

Sample

1st rowAudit courts
2nd rowAudit courts
3rd rowAudit courts
4th rowParliamentary oversight bodies
5th rowAudit courts

Common Values

ValueCountFrequency (%)
Audit courts10
 
13.3%
CSOs | The media5
 
6.7%
Parliamentary oversight bodies2
 
2.7%
Independent expert bodies2
 
2.7%
Data protection authorities1
 
1.3%
(Missing)55
73.3%

Pie chart

2021-07-28T10:40:16.861408image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude6[1]
Categorical

MISSING

Distinct6
Distinct (%)14.3%
Missing33
Missing (%)44.0%
Memory size728.0 B
Judicial oversight bodies
24 
Parliamentary oversight bodies
6 
Independent expert bodies
5 
Data protection authorities
3 
CSOs | The media
3 

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st rowData protection authorities
2nd rowJudicial oversight bodies
3rd rowJudicial oversight bodies
4th rowJudicial oversight bodies
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
Judicial oversight bodies24
32.0%
Parliamentary oversight bodies6
 
8.0%
Independent expert bodies5
 
6.7%
Data protection authorities3
 
4.0%
CSOs | The media3
 
4.0%
Audit courts1
 
1.3%
(Missing)33
44.0%

Pie chart

2021-07-28T10:40:17.037643image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude6[2]
Categorical

MISSING

Distinct6
Distinct (%)15.4%
Missing36
Missing (%)48.0%
Memory size728.0 B
Judicial oversight bodies
10 
Parliamentary oversight bodies
10 
Data protection authorities
7 
Audit courts
5 
Independent expert bodies
4 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowJudicial oversight bodies
2nd rowParliamentary oversight bodies
3rd rowIndependent expert bodies
4th rowJudicial oversight bodies
5th rowIndependent expert bodies

Common Values

ValueCountFrequency (%)
Judicial oversight bodies10
 
13.3%
Parliamentary oversight bodies10
 
13.3%
Data protection authorities7
 
9.3%
Audit courts5
 
6.7%
Independent expert bodies4
 
5.3%
CSOs | The media3
 
4.0%
(Missing)36
48.0%

Pie chart

2021-07-28T10:40:17.237091image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude6[3]
Categorical

MISSING

Distinct5
Distinct (%)16.7%
Missing45
Missing (%)60.0%
Memory size728.0 B
Data protection authorities
10 
Parliamentary oversight bodies
7 
Audit courts
6 
CSOs | The media
5 
Judicial oversight bodies
2 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCSOs | The media
2nd rowParliamentary oversight bodies
3rd rowData protection authorities
4th rowData protection authorities
5th rowAudit courts

Common Values

ValueCountFrequency (%)
Data protection authorities10
 
13.3%
Parliamentary oversight bodies7
 
9.3%
Audit courts6
 
8.0%
CSOs | The media5
 
6.7%
Judicial oversight bodies2
 
2.7%
(Missing)45
60.0%

Pie chart

2021-07-28T10:40:17.430924image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude6[4]
Categorical

MISSING

Distinct6
Distinct (%)28.6%
Missing54
Missing (%)72.0%
Memory size728.0 B
Data protection authorities
8 
Independent expert bodies
4 
Audit courts
4 
Parliamentary oversight bodies
3 
Judicial oversight bodies
1 

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st rowParliamentary oversight bodies
2nd rowData protection authorities
3rd rowData protection authorities
4th rowIndependent expert bodies
5th rowData protection authorities

Common Values

ValueCountFrequency (%)
Data protection authorities8
 
10.7%
Independent expert bodies4
 
5.3%
Audit courts4
 
5.3%
Parliamentary oversight bodies3
 
4.0%
Judicial oversight bodies1
 
1.3%
CSOs | The media1
 
1.3%
(Missing)54
72.0%

Pie chart

2021-07-28T10:40:17.735224image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude6[5]
Categorical

MISSING

Distinct4
Distinct (%)21.1%
Missing56
Missing (%)74.7%
Memory size728.0 B
Independent expert bodies
8 
CSOs | The media
5 
Audit courts
3 
Parliamentary oversight bodies
3 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIndependent expert bodies
2nd rowAudit courts
3rd rowCSOs | The media
4th rowParliamentary oversight bodies
5th rowAudit courts

Common Values

ValueCountFrequency (%)
Independent expert bodies8
 
10.7%
CSOs | The media5
 
6.7%
Audit courts3
 
4.0%
Parliamentary oversight bodies3
 
4.0%
(Missing)56
74.7%

Pie chart

2021-07-28T10:40:17.926024image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

attitude6[6]
Categorical

MISSING

Distinct4
Distinct (%)21.1%
Missing56
Missing (%)74.7%
Memory size728.0 B
CSOs | The media
10 
Independent expert bodies
5 
Audit courts
3 
Parliamentary oversight bodies
 
1

Unique

Unique1 ?
Unique (%)5.3%

Sample

1st rowAudit courts
2nd rowCSOs | The media
3rd rowIndependent expert bodies
4th rowCSOs | The media
5th rowCSOs | The media

Common Values

ValueCountFrequency (%)
CSOs | The media10
 
13.3%
Independent expert bodies5
 
6.7%
Audit courts3
 
4.0%
Parliamentary oversight bodies1
 
1.3%
(Missing)56
74.7%

Pie chart

2021-07-28T10:40:18.093248image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

surveytype
Categorical

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size728.0 B
Civil Society Scrutiny
38 
Media Scrutiny
37 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCivil Society Scrutiny
2nd rowCivil Society Scrutiny
3rd rowCivil Society Scrutiny
4th rowCivil Society Scrutiny
5th rowCivil Society Scrutiny

Common Values

ValueCountFrequency (%)
Civil Society Scrutiny38
50.7%
Media Scrutiny37
49.3%

Pie chart

2021-07-28T10:40:18.253390image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Sample

First rows

countrylastpagehr1hr2genderexpertise1expertise2expertise3expertise4finance1foi1foi2foi3foi4foi5[not_aware]foi5[not_covered]foi5[too_expensive]foi5[too_time_consuming]foi5[afraid_of_data_destruction]foi5[afraid_of_discrimination]foi5[other]foi5[dont_know]foi5[prefer_not_to_say]protectops1[sectraining]protectops1[e2e]protectops2protectops3[encrypted_email]protectops3[vpn]protectops3[tor]protectops3[e2e_chat]protectops3[encrypted_hardware]protectops3[2fa]protectops3[other]protectops4protectleg1protectleg2protectleg3[free_counsel]protectleg3[cost_insurance]protectleg3[other]constraintinter1constraintinter2constraintinter3constraintinter4[police_search]constraintinter4[seizure]constraintinter4[extortion]constraintinter4[violent_threat]constraintinter4[inspection_during_travel]constraintinter4[detention]constraintinter4[surveillance_signalling]constraintinter4[online_harassment]constraintinter4[entry_on_deny_lists]constraintinter4[exclusion_from_events]constraintinter4[public_defamation]constraintinter5[unsolicited_information]constraintinter5[invitations]constraintinter5[other]constraintinter6[gender]constraintinter6[ethnicity]constraintinter6[political]constraintinter6[sexual]constraintinter6[religious]constraintinter6[other]attitude1attitude2attitude3[rule_of_law]attitude3[civil_liberties]attitude3[effectiveness_of_intel]attitude3[legitimacy_of_intel]attitude3[trust_in_intel]attitude3[critique_of_intel]attitude3[prefer_not_to_say]attitude4[1]attitude4[2]attitude4[3]attitude4[4]attitude4[5]attitude4[6]attitude5[1]attitude5[2]attitude5[3]attitude5[4]attitude5[5]attitude5[6]attitude6[1]attitude6[2]attitude6[3]attitude6[4]attitude6[5]attitude6[6]surveytype
0United Kingdom23.0Part-time (<50%)4.0Male20.0Some knowledgeSome knowledgeSome knowledgeLittle fundingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseNoNoNaNVery importantVery importantVery importantVery importantVery importantVery importantNaNI don't knowAlwaysNoI don't knowI don't knowI don't knowI prefer not to sayNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.FalseTrueFalseTrueFalseTrueFalseIndependent expert bodiesJudicial oversight bodiesData protection authoritiesCSOs | The mediaAudit courtsParliamentary oversight bodiesIndependent expert bodiesData protection authoritiesCSOs | The mediaJudicial oversight bodiesParliamentary oversight bodiesAudit courtsData protection authoritiesJudicial oversight bodiesCSOs | The mediaParliamentary oversight bodiesIndependent expert bodiesAudit courtsCivil Society Scrutiny
1United Kingdom19.0Full-time1.0Other9.0Advanced knowledgeSome knowledgeSome knowledgeSufficient fundingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseYesYesNoSomewhat importantSomewhat importantNot important at allImportantImportantVery importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsRarelyNoNoNoNoNoNoNaNNoNoNoNoNoNoNoNoNoNoNoNoYesNaNNoNoNoNoNoNoNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
2United Kingdom23.0Full-time4.0MaleNaNAdvanced knowledgeAdvanced knowledgeSome knowledgeLittle fundingNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseYesYesYesImportantSomewhat importantSlightly importantImportantImportantImportantNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleI don't knowNoNoNoNoI prefer not to sayNoNaNNoNoNoNoNoNoNoNoNoNoI don't knowNoYesNoNoNoNoNoNoNoIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseFalseFalseCSOs | The mediaJudicial oversight bodiesParliamentary oversight bodiesNaNNaNNaNCSOs | The mediaJudicial oversight bodiesParliamentary oversight bodiesNaNNaNNaNJudicial oversight bodiesParliamentary oversight bodiesNaNNaNNaNNaNCivil Society Scrutiny
3United Kingdom23.0Freelance0.0MaleNaNAdvanced knowledgeAdvanced knowledgeAdvanced knowledgeLittle fundingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseNoYesNoSomewhat importantSomewhat importantNot important at allVery importantVery importantVery importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesNoYesNoNaNNoNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNoNoNoNoNoNoIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductFalseTrueFalseTrueFalseTrueFalseParliamentary oversight bodiesJudicial oversight bodiesCSOs | The mediaData protection authoritiesNaNNaNCSOs | The mediaNaNNaNNaNNaNNaNJudicial oversight bodiesNaNNaNNaNNaNNaNCivil Society Scrutiny
4United Kingdom23.0Full-time3.0Male12.0Advanced knowledgeAdvanced knowledgeAdvanced knowledgeLittle fundingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseYesYesYesNot important at allImportantNot important at allVery importantVery importantVery importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsAlwaysYesNoNoNaNYes, I have evidenceNoNaNNoNoNoNoNoNoNoNoNoYesNoYesYesNaNNoNoNoNoNoNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseTrueFalseFalseFalseCSOs | The mediaParliamentary oversight bodiesJudicial oversight bodiesData protection authoritiesIndependent expert bodiesAudit courtsCSOs | The mediaJudicial oversight bodiesIndependent expert bodiesParliamentary oversight bodiesData protection authoritiesAudit courtsJudicial oversight bodiesIndependent expert bodiesParliamentary oversight bodiesData protection authoritiesAudit courtsCSOs | The mediaCivil Society Scrutiny
5United Kingdom3.0Full-time2.0Other12.0Expert knowledgeAdvanced knowledgeSome knowledgeNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
6United Kingdom23.0Full-time1.0Female10.0Advanced knowledgeAdvanced knowledgeSome knowledgeSufficient fundingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseNoYesNoNot important at allSlightly importantNot important at allSomewhat importantSomewhat importantImportantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsRarelyYesNoNoNaNNoNoNaNNoNoNoNoNoNoNoNoNoNoNoNoYesNoNoNoNoNoNoNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseIndependent expert bodiesJudicial oversight bodiesCSOs | The mediaNaNNaNNaNIndependent expert bodiesData protection authoritiesCSOs | The mediaNaNNaNNaNIndependent expert bodiesJudicial oversight bodiesData protection authoritiesNaNNaNNaNCivil Society Scrutiny
7United Kingdom23.0Full-time2.0Male5.0Advanced knowledgeSome knowledgeSome knowledgeLittle fundingYes5.0I don't knowNot helpful at allFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesYesImportantImportantSomewhat importantImportantImportantSomewhat importantI don't knowTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsI prefer not to sayI don't knowYesI don't knowI don't knowI don't knowNoNaNNoNoNoNoNoNoI don't knowI don't knowNoI don't knowI don't knowI prefer not to sayI prefer not to sayI prefer not to sayNoNoNoNoNoNoI prefer not to sayI prefer not to sayTrueTrueFalseFalseFalseTrueFalseCSOs | The mediaParliamentary oversight bodiesIndependent expert bodiesJudicial oversight bodiesData protection authoritiesAudit courtsJudicial oversight bodiesIndependent expert bodiesParliamentary oversight bodiesData protection authoritiesNaNNaNJudicial oversight bodiesIndependent expert bodiesData protection authoritiesNaNNaNNaNCivil Society Scrutiny
8United Kingdom23.0Full-time2.0Male0.5Basic knowledgeSome knowledgeNo knowledgeSome fundingNoNaNNaNNaNTrueFalseFalseFalseFalseFalseFalseFalseFalseI don't knowYesNoSlightly importantSlightly importantSlightly importantImportantSlightly importantImportantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesYesI don't knowI don't knowNaNI prefer not to sayNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight is mostly effective, however its <br>institutional design needs reform for oversight practitioners to reliably <br>uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseJudicial oversight bodiesCSOs | The mediaParliamentary oversight bodiesIndependent expert bodiesAudit courtsData protection authoritiesCSOs | The mediaIndependent expert bodiesParliamentary oversight bodiesJudicial oversight bodiesData protection authoritiesAudit courtsJudicial oversight bodiesParliamentary oversight bodiesAudit courtsData protection authoritiesCSOs | The mediaIndependent expert bodiesCivil Society Scrutiny
9United Kingdom5.0Part-time (>50%)NaNOtherNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
10United Kingdom11.0Full-timeNaNOtherNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
11United Kingdom23.0Full-time2.0Male5.0Some knowledgeAdvanced knowledgeSome knowledgeSome fundingYes15.0No, usually longer than 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesYesSlightly importantVery importantSlightly importantVery importantSlightly importantVery importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsRarelyNoNoNoNaNYes, I suspectNoNaNNoNoNaNNoNoNoNoNoNoYesNoNoNoNoNoNoYesNoNoNoIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseFalseTrueFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
12United Kingdom23.0Freelance5.0Male20.0Some knowledgeSome knowledgeSome knowledgeSome fundingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseI prefer not to sayI prefer not to sayNaNI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayNoNaNI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayNoNoNoNoNoNoIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight is mostly effective, however its <br>institutional design needs reform for oversight practitioners to reliably <br>uncover past misconduct and prevent future misconductTrueFalseTrueTrueFalseFalseFalseIndependent expert bodiesJudicial oversight bodiesCSOs | The mediaData protection authoritiesParliamentary oversight bodiesNaNCSOs | The mediaNaNNaNNaNNaNNaNJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesNaNNaNNaNCivil Society Scrutiny
13Germany16.0Part-time (>50%)4.0Other5.0Advanced knowledgeExpert knowledgeSome knowledgeSufficient fundingNoNaNNaNNaNFalseFalseFalseTrueFalseFalseTrueFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
14Germany23.0Full-time1.0Male4.0Basic knowledgeSome knowledgeExpert knowledgeNo fundingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseTrueFalseNoYesNoSlightly importantSlightly importantI prefer not to sayVery importantSomewhat importantVery importantImportantTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesI don't knowI don't knowI don't knowI don't knowI prefer not to sayNoNaNNoNoNoNoI don't knowNoNoNoI don't knowI don't knowNoNoI don't knowI don't knowNoNoNoNoNoNoIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseCSOs | The mediaIndependent expert bodiesData protection authoritiesAudit courtsNaNNaNJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
15Germany17.0Full-time2.0Other7.0Some knowledgeAdvanced knowledgeExpert knowledgeNo fundingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseTrueYesYesYesVery importantVery importantVery importantVery importantVery importantVery importantI prefer not to sayTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
16Germany23.0Full-time0.5Male40.0Some knowledgeExpert knowledgeBasic knowledgeLittle fundingYes5.0Yes, within 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesYesImportantSomewhat importantSlightly importantSomewhat importantSlightly importantNaNNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleAlwaysNoNaNNaNYesYes, I suspectNoNaNNoNoNoNoYesNoNoNoNoNoNoNoNoNaNNoNoNoNoNoNaNIntelligence agencies are incompatible with democratic <br>values and should be abolishedEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.FalseFalseFalseFalseFalseFalseTrueCSOs | The mediaJudicial oversight bodiesIndependent expert bodiesData protection authoritiesAudit courtsParliamentary oversight bodiesCSOs | The mediaIndependent expert bodiesJudicial oversight bodiesData protection authoritiesAudit courtsParliamentary oversight bodiesJudicial oversight bodiesData protection authoritiesAudit courtsIndependent expert bodiesParliamentary oversight bodiesCSOs | The mediaCivil Society Scrutiny
17Germany3.0Part-time (>50%)3.0Other10.0Advanced knowledgeAdvanced knowledgeSome knowledgeSome fundingNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
18Germany23.0Full-time0.5Male10.0Expert knowledgeExpert knowledgeSome knowledgeSome fundingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNeverNaNNaNNaNNaNNaNNoNaNNoNoNoNoNoNoNoNoNoNoNoYesYesNaNNoNoNoNoNoNoIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseTrueFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
19Germany23.0Full-time3.0Male8.0Some knowledgeAdvanced knowledgeBasic knowledgeSufficient fundingYes5.0No, usually longer than 30 daysNot helpful at allFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesYesVery importantVery importantSomewhat importantVery importantImportantVery importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsOftenI don't knowYesYesNaNYes, I have evidenceNoNaNNoNoI prefer not to sayI prefer not to sayYesNoYesI don't knowNoNoYesYesYesNaNNoNoNoNoNoNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueFalseFalseTrueTrueFalseFalseCSOs | The mediaParliamentary oversight bodiesData protection authoritiesJudicial oversight bodiesIndependent expert bodiesAudit courtsJudicial oversight bodiesCSOs | The mediaIndependent expert bodiesParliamentary oversight bodiesData protection authoritiesAudit courtsParliamentary oversight bodiesIndependent expert bodiesJudicial oversight bodiesData protection authoritiesAudit courtsCSOs | The mediaCivil Society Scrutiny
20Germany23.0Part-time (>50%)3.0Female5.0Advanced knowledgeAdvanced knowledgeSome knowledgeSufficient fundingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseYesYesNoSlightly importantI prefer not to sayI prefer not to sayImportantI prefer not to saySomewhat importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesNoI don't knowI don't knowNaNYes, I have evidenceNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNaNYesNoNoNoNoNoI prefer not to sayIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseCSOs | The mediaData protection authoritiesIndependent expert bodiesParliamentary oversight bodiesJudicial oversight bodiesNaNJudicial oversight bodiesData protection authoritiesAudit courtsCSOs | The mediaIndependent expert bodiesParliamentary oversight bodiesJudicial oversight bodiesAudit courtsData protection authoritiesParliamentary oversight bodiesIndependent expert bodiesCSOs | The mediaCivil Society Scrutiny
21Germany3.0Part-time (>50%)1.0Other10.0Basic knowledgeAdvanced knowledgeBasic knowledgeNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
22Germany23.0Part-time (>50%)3.0Male6.0Expert knowledgeAdvanced knowledgeSome knowledgeLittle fundingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseTrueYesYesYesImportantSomewhat importantSomewhat importantSomewhat importantImportantSomewhat importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesNoYesNoI prefer not to sayYes, I suspectNoNaNNoNoNoNoNoNoI prefer not to sayNoNoNoNoNoNoNoNoNoI don't knowNoNoNaNIntelligence agencies are incompatible with democratic <br>values and should be abolishedEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseFalseTrueFalseCSOs | The mediaIndependent expert bodiesNaNNaNNaNNaNJudicial oversight bodiesNaNNaNNaNNaNNaNParliamentary oversight bodiesCSOs | The mediaNaNNaNNaNNaNCivil Society Scrutiny
23Germany23.0Full-time1.0Other10.0Expert knowledgeExpert knowledgeAdvanced knowledgeSufficient fundingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseNoYesYesVery importantVery importantVery importantVery importantVery importantVery importantVery importantTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsOftenNoI don't knowI don't knowNaNYes, I suspectNoNaNNoNoNoNoI don't knowNoI don't knowNoNoNoI don't knowI don't knowI don't knowI don't knowNoNoNoNoNoNoI prefer not to sayIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueFalseTrueTrueFalseFalseFalseIndependent expert bodiesData protection authoritiesParliamentary oversight bodiesJudicial oversight bodiesNaNNaNJudicial oversight bodiesData protection authoritiesNaNNaNNaNNaNJudicial oversight bodiesNaNNaNNaNNaNNaNCivil Society Scrutiny
24Germany23.0Part-time (>50%)2.0Male3.0Expert knowledgeSome knowledgeSome knowledgeSufficient fundingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseNoYesYesVery importantVery importantSlightly importantVery importantVery importantImportantVery importantI have full confidence that the right tools <br>will protect my communication from surveillanceRarelyYesNoYesNoNoNoNaNNoNoNoNoNoNoNoNoNoNoNoNoYesNoNoNoNoNoNoNoI prefer not to sayIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseCSOs | The mediaIndependent expert bodiesJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesAudit courtsJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesCSOs | The mediaIndependent expert bodiesAudit courtsParliamentary oversight bodiesData protection authoritiesCSOs | The mediaJudicial oversight bodiesIndependent expert bodiesAudit courtsCivil Society Scrutiny
25Germany5.0Full-time3.0Other15.0Advanced knowledgeExpert knowledgeAdvanced knowledgeI prefer not to sayNoNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseTrueNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
26Germany17.0Part-time (>50%)4.0Other4.0Advanced knowledgeSome knowledgeBasic knowledgeI prefer not to sayNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseNaNNaNNaNImportantVery importantI don't knowNaNVery importantI don't knowNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
27Germany23.0Full-time4.0Female26.0Some knowledgeSome knowledgeBasic knowledgeI prefer not to sayNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseNoYesYesVery importantImportantSomewhat importantVery importantVery importantVery importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsOftenNoNoNoI don't knowI prefer not to sayNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNaNIntelligence agencies are incompatible with democratic <br>values and should be abolishedEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseFalseTrueFalseIndependent expert bodiesJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesCSOs | The mediaAudit courtsJudicial oversight bodiesParliamentary oversight bodiesIndependent expert bodiesData protection authoritiesCSOs | The mediaAudit courtsParliamentary oversight bodiesJudicial oversight bodiesData protection authoritiesIndependent expert bodiesCSOs | The mediaAudit courtsCivil Society Scrutiny
28Germany23.0Full-time1.0Male3.0Basic knowledgeBasic knowledgeBasic knowledgeNo fundingYes20.0No, usually longer than 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseNoYesI don't knowVery importantVery importantSomewhat importantVery importantVery importantVery importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsAlwaysNoI don't knowI don't knowI don't knowYes, I suspectNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoIntelligence agencies are incompatible with democratic <br>values and should be abolishedEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseFalseTrueFalseCSOs | The mediaIndependent expert bodiesParliamentary oversight bodiesData protection authoritiesJudicial oversight bodiesAudit courtsJudicial oversight bodiesData protection authoritiesAudit courtsParliamentary oversight bodiesIndependent expert bodiesCSOs | The mediaData protection authoritiesJudicial oversight bodiesParliamentary oversight bodiesIndependent expert bodiesAudit courtsCSOs | The mediaCivil Society Scrutiny
29Germany23.0Freelance5.0Male6.0Advanced knowledgeAdvanced knowledgeSome knowledgeSufficient fundingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseTrueFalseFalseYesYesYesVery importantSlightly importantVery importantVery importantVery importantVery importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesNoNoNoNoYes, I suspectNoNaNNoNoNoNoNoNoNoYesI prefer not to sayNoNoNoNoNoNoNoNoNoNoNoIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseFalseFalseCSOs | The mediaParliamentary oversight bodiesData protection authoritiesJudicial oversight bodiesIndependent expert bodiesAudit courtsJudicial oversight bodiesParliamentary oversight bodiesCSOs | The mediaData protection authoritiesAudit courtsIndependent expert bodiesJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesAudit courtsCSOs | The mediaIndependent expert bodiesCivil Society Scrutiny
30Germany23.0Full-time2.0Female2.0Basic knowledgeAdvanced knowledgeBasic knowledgeSome fundingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseYesYesYesVery importantSlightly importantI prefer not to sayVery importantVery importantImportantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsRarelyNoYesYesNaNI prefer not to sayNoNaNNoNoNoNoNoNoI don't knowNoI don't knowNoNoNoNoNaNNoNoNoNoNoNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseFalseFalseCSOs | The mediaParliamentary oversight bodiesJudicial oversight bodiesIndependent expert bodiesData protection authoritiesAudit courtsCSOs | The mediaJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesIndependent expert bodiesAudit courtsJudicial oversight bodiesAudit courtsData protection authoritiesParliamentary oversight bodiesIndependent expert bodiesCSOs | The mediaCivil Society Scrutiny
31France23.0Full-time4.0Male6.0Advanced knowledgeAdvanced knowledgeAdvanced knowledgeSufficient fundingYes1.0Yes, within 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseNoYesNoSomewhat importantSlightly importantSomewhat importantVery importantImportantImportantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesNoNoNoNaNYes, I suspectNoNaNNoNoNoNoYesNoI don't knowNoI don't knowI don't knowNoNoNoNaNNoNoNoNoNoNoIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseCSOs | The mediaParliamentary oversight bodiesIndependent expert bodiesNaNNaNNaNCSOs | The mediaNaNNaNNaNNaNNaNIndependent expert bodiesNaNNaNNaNNaNNaNCivil Society Scrutiny
32France23.0Other4.0Other7.0Advanced knowledgeAdvanced knowledgeSome knowledgeLittle fundingNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesNoSomewhat importantSlightly importantSomewhat importantSomewhat importantSomewhat importantSomewhat importantNaNI don't knowI don't knowNoI don't knowNoNaNI prefer not to sayNoNaNNoNoNoNoNoNoI don't knowNoNoI don't knowNoNoNoNaNNoNoNoNoNoNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductFalseTrueFalseFalseFalseTrueFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
33France18.0Full-time15.0Other25.0Some knowledgeExpert knowledgeSome knowledgeLittle fundingNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseNoYesNoNot important at allSlightly importantNot important at allSlightly importantImportantImportantNot important at allTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsOftenNoYesNoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
34France6.0Freelance15.0Other25.0Expert knowledgeExpert knowledgeExpert knowledgeNo fundingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseTrueFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
35France23.0Full-time15.0Male25.0Advanced knowledgeAdvanced knowledgeSome knowledgeSome fundingNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseNoYesNoNot important at allSlightly importantNot important at allSlightly importantSlightly importantImportantNot important at allI have no confidence in the protection offered by <br>technological toolsOftenNoNoNoNaNYes, I suspectNoNaNNoNoNaNNaNNoNoYesYesI don't knowI don't knowYesNoNoNaNNaNNaNNaNNaNNaNNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseAudit courtsCSOs | The mediaNaNNaNNaNNaNCSOs | The mediaAudit courtsData protection authoritiesNaNNaNNaNCSOs | The mediaAudit courtsData protection authoritiesNaNNaNNaNCivil Society Scrutiny
36France4.0Full-time2.0Other26.0Basic knowledgeSome knowledgeAdvanced knowledgeI don't knowNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
37France18.0Full-time2.0Other26.0Basic knowledgeSome knowledgeAdvanced knowledgeNaNNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseYesYesNoVery importantImportantVery importantVery importantVery importantImportantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesNoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNCivil Society Scrutiny
38United Kingdom18.0Part-time (>50%)3.0Male1.0Some knowledgeSome knowledgeSome knowledgeSome fundingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseYesYesNoVery importantVery importantVery importantVery importantVery importantVery importantNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleAlwaysI don't knowI don't knowI don't knowNaNI don't knowNoNaNNoNoNoNoYesNoI don't knowNoNoNoNoNoNoNaNNoNoNoNoNoNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesI prefer not to sayFalseFalseTrueFalseFalseFalseFalseCSOs | The mediaParliamentary oversight bodiesJudicial oversight bodiesNaNNaNNaNCSOs | The mediaJudicial oversight bodiesParliamentary oversight bodiesNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
39United Kingdom18.0Full-time4.0Male2.0Basic knowledgeBasic knowledgeSome knowledgeLittle fundingNoNaNNaNNaNFalseTrueFalseTrueFalseFalseFalseFalseFalseNoYesNoSomewhat importantSlightly importantSlightly importantImportantSlightly importantImportantNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleSometimesNoYesI don't knowNaNI don't knowNoNaNNoNoNoNoNoNoNoNoNoNoNoNoYesNaNNoNoNoNoNoNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductFalseTrueFalseTrueFalseFalseFalseAudit courtsCSOs | The mediaJudicial oversight bodiesNaNNaNNaNIndependent expert bodiesAudit courtsNaNNaNNaNNaNAudit courtsJudicial oversight bodiesNaNNaNNaNNaNMedia Scrutiny
40United Kingdom6.0Freelance2.0Other4.0Some knowledgeBasic knowledgeBasic knowledgeNo fundingYes2.0Yes, within 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
41United Kingdom9.0Full-time1.0Other20.0Basic knowledgeSome knowledgeBasic knowledgeSome fundingNoNaNNaNNaNFalseFalseTrueTrueFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
42United Kingdom8.0Full-time0.0Other10.0Basic knowledgeBasic knowledgeBasic knowledgeI don't knowNoNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
43United Kingdom18.0Other0.0OtherNaNNo knowledgeNo knowledgeBasic knowledgeI don't knowNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseYesYesNoSlightly importantNot important at allNot important at allVery importantSlightly importantSomewhat importantI don't knowI have no confidence in the protection offered by <br>technological toolsI don't knowI don't knowI don't knowI don't knowNaNYes, I suspectNoNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNoNoNoNaNNaNNaNNaNNaNNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesI prefer not to sayFalseTrueFalseFalseFalseTrueFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
44United Kingdom18.0Full-time15.0Male2.0Basic knowledgeSome knowledgeSome knowledgeSufficient fundingYes20.0No, usually longer than 30 daysVery helpfulFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesYesImportantImportantSlightly importantVery importantImportantVery importantNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleRarelyYesYesI don't knowI don't knowYes, I suspectNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNoNoNoNoNoNoIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.FalseFalseTrueTrueFalseTrueFalseData protection authoritiesCSOs | The mediaJudicial oversight bodiesIndependent expert bodiesParliamentary oversight bodiesAudit courtsCSOs | The mediaData protection authoritiesIndependent expert bodiesJudicial oversight bodiesParliamentary oversight bodiesAudit courtsData protection authoritiesJudicial oversight bodiesCSOs | The mediaAudit courtsParliamentary oversight bodiesIndependent expert bodiesMedia Scrutiny
45United Kingdom17.0Full-time4.0Male15.0Some knowledgeSome knowledgeSome knowledgeSufficient fundingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseYesYesNoVery importantSomewhat importantSomewhat importantVery importantImportantVery importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesNoI prefer not to sayI prefer not to sayI prefer not to sayI don't knowNoNaNNoNoNoNoNoNoI don't knowNoNoNoNoI prefer not to sayI prefer not to sayNaNNoNoNoNoNoNoIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueTrueFalseFalseFalseFalseCSOs | The mediaJudicial oversight bodiesParliamentary oversight bodiesNaNNaNNaNCSOs | The mediaJudicial oversight bodiesIndependent expert bodiesParliamentary oversight bodiesNaNNaNJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesNaNNaNNaNMedia Scrutiny
46United Kingdom18.0Full-time5.0Other10.0Advanced knowledgeAdvanced knowledgeSome knowledgeI don't knowYes3.0No, usually longer than 30 daysNot helpful at allFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesYesVery importantVery importantVery importantVery importantVery importantVery importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsAlwaysNoYesYesNaNI don't knowNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoI prefer not to sayI prefer not to sayFalseFalseFalseFalseFalseFalseTrueJudicial oversight bodiesCSOs | The mediaData protection authoritiesIndependent expert bodiesParliamentary oversight bodiesNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
47Germany5.0Full-time2.0Other12.0Advanced knowledgeExpert knowledgeAdvanced knowledgeLittle fundingNoNaNNaNNaNFalseTrueFalseTrueFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
48Germany18.0Full-time10.0Female7.0Advanced knowledgeAdvanced knowledgeAdvanced knowledgeSome fundingYes20.0No, usually longer than 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesYesVery importantImportantSomewhat importantVery importantVery importantVery importantI don't knowTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesNoYesNoI don't knowI don't knowNoNaNNoNoNoNoNoNoNoNoNoYesNoI prefer not to sayI prefer not to sayI prefer not to sayNoNoNoNoNoNoIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseParliamentary oversight bodiesCSOs | The mediaJudicial oversight bodiesAudit courtsIndependent expert bodiesData protection authoritiesJudicial oversight bodiesCSOs | The mediaAudit courtsNaNNaNNaNJudicial oversight bodiesParliamentary oversight bodiesNaNNaNNaNNaNMedia Scrutiny
49Germany18.0Freelance2.0Other10.0Advanced knowledgeSome knowledgeSome knowledgeNo fundingYes2.0No, usually longer than 30 daysNot helpful at allFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesNoImportantSlightly importantNot important at allVery importantVery importantSomewhat importantNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleRarelyI don't knowNaNNaNNaNYes, I have evidenceNoNaNNaNNaNNaNNaNNaNNaNYesNaNNaNNaNYesNoNoNaNNaNNaNNaNNaNNaNNaNIntelligence agencies are incompatible with democratic <br>values and should be abolishedEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.FalseTrueFalseFalseFalseFalseFalseIndependent expert bodiesData protection authoritiesCSOs | The mediaNaNNaNNaNIndependent expert bodiesNaNNaNNaNNaNNaNIndependent expert bodiesCSOs | The mediaNaNNaNNaNNaNMedia Scrutiny
50Germany18.0Freelance5.0Male4.0Basic knowledgeSome knowledgeAdvanced knowledgeSome fundingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseYesYesYesVery importantVery importantVery importantVery importantVery importantVery importantI don't knowTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsAlwaysI prefer not to sayNoNoI don't knowYes, I suspectYesI was threatened with prosecutionNoNoNoNoNoNoYesNoNoNoNoNoNoNoNoNoNoNoNoNoIntelligence agencies are incompatible with democratic <br>values and should be abolishedEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseFalseTrueFalseIndependent expert bodiesCSOs | The mediaData protection authoritiesParliamentary oversight bodiesAudit courtsJudicial oversight bodiesParliamentary oversight bodiesJudicial oversight bodiesAudit courtsData protection authoritiesIndependent expert bodiesCSOs | The mediaJudicial oversight bodiesAudit courtsParliamentary oversight bodiesData protection authoritiesIndependent expert bodiesCSOs | The mediaMedia Scrutiny
51Germany18.0Part-time (>50%)1.0Male2.0Advanced knowledgeAdvanced knowledgeSome knowledgeSome fundingI prefer not to sayNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseI prefer not to sayI prefer not to sayNaNI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayI prefer not to sayTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsRarelyI prefer not to sayI don't knowI don't knowI don't knowI don't knowNoNaNNoNoNoNoNoNoNoNoNoNoNoI prefer not to sayI prefer not to sayI prefer not to sayNoNoNoNoNoNoI prefer not to sayIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseTrueFalseFalseParliamentary oversight bodiesCSOs | The mediaIndependent expert bodiesJudicial oversight bodiesData protection authoritiesAudit courtsJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesAudit courtsIndependent expert bodiesCSOs | The mediaJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesAudit courtsIndependent expert bodiesCSOs | The mediaMedia Scrutiny
52Germany18.0Full-time2.0Male15.0Advanced knowledgeExpert knowledgeSome knowledgeSome fundingYes20.0No, usually longer than 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesNoVery importantVery importantImportantImportantVery importantImportantVery importantI try to avoid technology-based communication whenever <br>possible when I work on intelligence-related issuesAlwaysYesYesYesYesI don't knowNoNaNNoNoNoNoI don't knowNoYesNoI don't knowI don't knowNoNoNoI don't knowNoNoNoNoI don't knowI don't knowIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseTrueFalseFalseFalseCSOs | The mediaIndependent expert bodiesData protection authoritiesNaNNaNNaNData protection authoritiesCSOs | The mediaIndependent expert bodiesJudicial oversight bodiesNaNNaNParliamentary oversight bodiesJudicial oversight bodiesData protection authoritiesNaNNaNNaNMedia Scrutiny
53Germany12.0Full-time6.0Other5.0Basic knowledgeBasic knowledgeSome knowledgeSufficient fundingYes3.0Yes, within 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesI prefer not to saySlightly importantImportantImportantVery importantImportantVery importantI don't knowTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsOftenNoYesI don't knowNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
54Germany6.0NaNNaNOtherNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
55Germany18.0Full-time1.0Male7.0No knowledgeBasic knowledgeSome knowledgeNo fundingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseYesYesNoVery importantImportantVery importantVery importantVery importantImportantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsAlwaysNoNoNoNaNI don't knowNoNaNNoNoNoNoYesNoNoNoNoNoNoNoNoYesNoNoNoNoNoNoI prefer not to sayIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseTrueFalseFalseFalseCSOs | The mediaIndependent expert bodiesParliamentary oversight bodiesJudicial oversight bodiesData protection authoritiesNaNCSOs | The mediaIndependent expert bodiesJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesAudit courtsJudicial oversight bodiesParliamentary oversight bodiesData protection authoritiesAudit courtsNaNNaNMedia Scrutiny
56Germany18.0Full-time5.0Male35.0Some knowledgeAdvanced knowledgeAdvanced knowledgeLittle fundingNoNaNNaNNaNFalseTrueFalseTrueFalseFalseFalseFalseFalseNaNYesYesVery importantImportantSomewhat importantVery importantVery importantVery importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsOftenNoYesYesNaNNoNoNaNNoNoNoNoNoNoNoYesNoNoNoNoYesNaNNoNoNoNoNoNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseCSOs | The mediaIndependent expert bodiesData protection authoritiesParliamentary oversight bodiesNaNNaNJudicial oversight bodiesData protection authoritiesCSOs | The mediaNaNNaNNaNParliamentary oversight bodiesJudicial oversight bodiesNaNNaNNaNNaNMedia Scrutiny
57Germany15.0Full-time2.0Other5.0Advanced knowledgeAdvanced knowledgeBasic knowledgeNo fundingNoNaNNaNNaNFalseFalseFalseFalseTrueFalseFalseFalseFalseYesYesNoSlightly importantImportantSomewhat importantImportantSlightly importantVery importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesI prefer not to sayYesI don't knowNaNI don't knowNoNaNNoNoNoNoNoNoNoYesNoNoNoYesNoNaNNoNoNoNoNoNoNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
58Germany6.0Freelance2.0Other11.0Some knowledgeAdvanced knowledgeAdvanced knowledgeSome fundingNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
59Germany18.0Full-time21.0Male20.0Expert knowledgeAdvanced knowledgeAdvanced knowledgeA great deal of fundingYes2.0No, usually longer than 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesYesSomewhat importantImportantSlightly importantVery importantVery importantImportantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsOftenYesYesYesI don't knowI don't knowNoNaNNoNoNoNoNoNoNoNoNoYesNoYesYesNaNNoNoNoNoNoNoIntelligence agencies are a vital component of national <br>security and should be shielded from excessive bureaucratic <br>restrictionsIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueFalseFalseFalseTrueTrueFalseJudicial oversight bodiesData protection authoritiesAudit courtsIndependent expert bodiesParliamentary oversight bodiesCSOs | The mediaJudicial oversight bodiesData protection authoritiesAudit courtsCSOs | The mediaParliamentary oversight bodiesIndependent expert bodiesJudicial oversight bodiesData protection authoritiesAudit courtsIndependent expert bodiesParliamentary oversight bodiesCSOs | The mediaMedia Scrutiny
60Germany7.0NaNNaNOtherNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
61Germany18.0Full-time6.0Male14.0Some knowledgeAdvanced knowledgeBasic knowledgeA great deal of fundingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseNoYesYesSomewhat importantVery importantNaNVery importantImportantVery importantI don't knowTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsAlwaysNoYesYesI don't knowYes, I suspectNoNaNNoNoNoNoNoNoNoNoNoNoNoYesYesYesNoNoNoNoNoNoIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseTrueFalseFalseFalseCSOs | The mediaIndependent expert bodiesJudicial oversight bodiesAudit courtsData protection authoritiesParliamentary oversight bodiesJudicial oversight bodiesParliamentary oversight bodiesAudit courtsData protection authoritiesIndependent expert bodiesCSOs | The mediaJudicial oversight bodiesParliamentary oversight bodiesAudit courtsData protection authoritiesCSOs | The mediaIndependent expert bodiesMedia Scrutiny
62Germany18.0Full-time10.0Male10.0Advanced knowledgeExpert knowledgeAdvanced knowledgeA great deal of fundingYes10.0No, usually longer than 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesI prefer not to sayVery importantVery importantVery importantVery importantVery importantVery importantI prefer not to sayTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesI don't knowI don't knowI don't knowNaNYes, I suspectYesI was threatened with prosecutionNoNoNoNoI don't knowNoYesNoNoYesNaNNoYesNaNNoNoI don't knowNoNoYesIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseFalseTrueFalseCSOs | The mediaData protection authoritiesIndependent expert bodiesParliamentary oversight bodiesAudit courtsJudicial oversight bodiesCSOs | The mediaParliamentary oversight bodiesIndependent expert bodiesJudicial oversight bodiesAudit courtsData protection authoritiesJudicial oversight bodiesParliamentary oversight bodiesAudit courtsData protection authoritiesIndependent expert bodiesCSOs | The mediaMedia Scrutiny
63Germany18.0Full-time5.0Male7.0Some knowledgeAdvanced knowledgeSome knowledgeSufficient fundingNoNaNNaNNaNFalseFalseTrueTrueFalseFalseFalseFalseFalseYesYesYesSlightly importantSlightly importantVery importantVery importantVery importantVery importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesYesI don't knowI don't knowNaNI prefer not to sayNoNaNNoNoNoNoNoNoNoNoNoNoNoI prefer not to sayI prefer not to sayI prefer not to sayNoNoNoNoNoNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseJudicial oversight bodiesCSOs | The mediaParliamentary oversight bodiesIndependent expert bodiesData protection authoritiesAudit courtsJudicial oversight bodiesParliamentary oversight bodiesAudit courtsData protection authoritiesIndependent expert bodiesCSOs | The mediaJudicial oversight bodiesAudit courtsParliamentary oversight bodiesData protection authoritiesCSOs | The mediaIndependent expert bodiesMedia Scrutiny
64Germany18.0Full-time2.0Male20.0Expert knowledgeExpert knowledgeSome knowledgeSufficient fundingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseNoYesNoSomewhat importantSomewhat importantSlightly importantVery importantVery importantVery importantNot important at allUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleNeverYesYesI don't knowNaNI don't knowNoNaNNoNoNoNoNoNoNoNoNoNoNoNoYesNaNNoNoNoNoNoNoIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseTrueFalseFalseFalseJudicial oversight bodiesCSOs | The mediaIndependent expert bodiesData protection authoritiesParliamentary oversight bodiesNaNJudicial oversight bodiesCSOs | The mediaIndependent expert bodiesData protection authoritiesParliamentary oversight bodiesNaNJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesCSOs | The mediaNaNNaNMedia Scrutiny
65Germany18.0Freelance4.0MaleNaNExpert knowledgeExpert knowledgeAdvanced knowledgeSome fundingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseNoYesNoImportantSomewhat importantSlightly importantImportantImportantSomewhat importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesNoNoNoNaNI don't knowNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNoNoNoNoNoNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseJudicial oversight bodiesParliamentary oversight bodiesIndependent expert bodiesAudit courtsData protection authoritiesCSOs | The mediaCSOs | The mediaData protection authoritiesNaNNaNNaNNaNJudicial oversight bodiesParliamentary oversight bodiesNaNNaNNaNNaNMedia Scrutiny
66Germany7.0Full-timeNaNOther30.0Advanced knowledgeSome knowledgeNo knowledgeSome fundingNoNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
67Germany18.0Full-time5.0Male10.0Some knowledgeAdvanced knowledgeSome knowledgeLittle fundingNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseYesYesI prefer not to sayVery importantVery importantVery importantVery importantVery importantVery importantNaNUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleAlwaysNoYesI don't knowI don't knowYes, I have evidenceNoNaNNoNoNoNoNoNoYesI don't knowI don't knowI don't knowYesNoNoYesNoNoYesNoNoI prefer not to sayIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.TrueTrueFalseFalseFalseTrueFalseCSOs | The mediaData protection authoritiesAudit courtsNaNNaNNaNCSOs | The mediaJudicial oversight bodiesData protection authoritiesNaNNaNNaNCSOs | The mediaIndependent expert bodiesJudicial oversight bodiesNaNNaNNaNMedia Scrutiny
68France6.0Full-time1.0Other12.0Some knowledgeSome knowledgeBasic knowledgeA great deal of fundingYes2.0No, usually longer than 30 daysHelpful in partsFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
69France18.0Full-time10.0Male10.0Advanced knowledgeSome knowledgeExpert knowledgeI don't knowYes2.0No, usually longer than 30 daysNot helpful at allFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesNoVery importantVery importantImportantVery importantVery importantVery importantI don't knowUnder the current conditions of communications <br>surveillance, technological solutions cannot offer <br>sufficient protection for the data I handleSometimesNoI don't knowI don't knowNaNYes, I suspectNoNaNNoNoNoYesYesNoYesNoNoNoNoYesNoNaNNoNoYesNoNoNaNIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumEffective intelligence oversight is a hopeless endeavour <br>and even a systematic reorganization is unlikely to ensure <br>misconduct is uncovered and prevented.FalseFalseTrueTrueTrueFalseFalseCSOs | The mediaJudicial oversight bodiesData protection authoritiesNaNNaNNaNCSOs | The mediaData protection authoritiesJudicial oversight bodiesParliamentary oversight bodiesNaNNaNJudicial oversight bodiesData protection authoritiesNaNNaNNaNNaNMedia Scrutiny
70France18.0Full-time3.0Male10.0Some knowledgeSome knowledgeSome knowledgeSome fundingYes4.0NeverNot helpful at allFalseFalseFalseFalseFalseFalseFalseFalseFalseYesYesNoVery importantImportantImportantVery importantVery importantVery importantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsAlwaysNoYesYesNaNI don't knowNoNaNNoNoYesNoNoNoI don't knowNoNoYesYesI prefer not to sayI prefer not to sayNaNNoNoNoNoNoNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseCSOs | The mediaIndependent expert bodiesJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesNaNCSOs | The mediaParliamentary oversight bodiesData protection authoritiesJudicial oversight bodiesIndependent expert bodiesAudit courtsCSOs | The mediaJudicial oversight bodiesAudit courtsData protection authoritiesIndependent expert bodiesParliamentary oversight bodiesMedia Scrutiny
71France18.0Full-time1.0Male5.0Basic knowledgeBasic knowledgeBasic knowledgeNo fundingNoNaNNaNNaNFalseFalseFalseTrueFalseFalseFalseFalseFalseNoYesNoImportantImportantSlightly importantVery importantImportantImportantI don't knowTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsI don't knowNoI don't knowI don't knowI don't knowI don't knowNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoNoIntelligence agencies contradict democratic principles,<br>and their powers should be kept at a bare minimumIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesCSOs | The mediaIndependent expert bodiesNaNCSOs | The mediaJudicial oversight bodiesData protection authoritiesParliamentary oversight bodiesNaNNaNJudicial oversight bodiesParliamentary oversight bodiesCSOs | The mediaNaNNaNNaNMedia Scrutiny
72France10.0FreelanceNaNOtherNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNFalseFalseFalseFalseFalseFalseFalseNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMedia Scrutiny
73France18.0Full-time7.0Male8.0Some knowledgeSome knowledgeBasic knowledgeSufficient fundingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseNoYesNoSomewhat importantSlightly importantSlightly importantVery importantImportantImportantNaNTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsSometimesYesNoYesNaNYes, I suspectNoNaNNoNoNoNoNoNoNoNoNoNoNoNoNoNaNNoNoNoNoNoNaNIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight lacks efficacy, hence a fundamental <br>reorganization of oversight capacity is needed for oversight practitioners <br>to reliably uncover past misconduct and prevent future misconductTrueTrueFalseFalseFalseTrueFalseIndependent expert bodiesCSOs | The mediaNaNNaNNaNNaNIndependent expert bodiesCSOs | The mediaNaNNaNNaNNaNIndependent expert bodiesCSOs | The mediaNaNNaNNaNNaNMedia Scrutiny
74France18.0Freelance10.0Male22.0Advanced knowledgeAdvanced knowledgeAdvanced knowledgeSufficient fundingNoNaNNaNNaNFalseTrueFalseFalseFalseFalseFalseFalseFalseYesYesNoVery importantSlightly importantVery importantNaNVery importantVery importantVery importantTechnological tools help to protect my identity <br>to some extent, but an attacker with sufficient power <br>may eventually be able to bypass my technological <br>safeguardsRarelyYesNoNoYesYes, I suspectNoNaNNoNoNoNoNoNoNoNoNoNoNoI don't knowYesI don't knowNoNoNoNoNoYesIntelligence agencies are necessary and legitimate institutions <br>of democratic states, even though they may sometimes overstep <br>their legal mandatesIntelligence oversight is mostly effective, however its <br>institutional design needs reform for oversight practitioners to reliably <br>uncover past misconduct and prevent future misconductTrueFalseFalseTrueFalseFalseFalseParliamentary oversight bodiesIndependent expert bodiesData protection authoritiesAudit courtsNaNNaNIndependent expert bodiesCSOs | The mediaJudicial oversight bodiesNaNNaNNaNIndependent expert bodiesJudicial oversight bodiesCSOs | The mediaNaNNaNNaNMedia Scrutiny
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