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--- | ||
# Title of the document | ||
title: "Pandas Profiling Report (MS & CS)" | ||
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# Metadata | ||
dataset: | ||
description: "" | ||
creator: "" | ||
author: "" | ||
copyright_holder: "" | ||
copyright_year: "" | ||
url: "" | ||
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variables: | ||
descriptions: {} | ||
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# infer dtypes | ||
infer_dtypes: false | ||
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# Show the description at each variable (in addition to the overview tab) | ||
show_variable_description: true | ||
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# Number of workers (0=multiprocessing.cpu_count()) | ||
pool_size: 0 | ||
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# Show the progress bar | ||
progress_bar: true | ||
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# Per variable type description settings | ||
vars: | ||
num: | ||
quantiles: | ||
- 0.05 | ||
- 0.25 | ||
- 0.5 | ||
- 0.75 | ||
- 0.95 | ||
skewness_threshold: 20 | ||
low_categorical_threshold: 5 | ||
# Set to zero to disable | ||
chi_squared_threshold: 0.0 | ||
cat: | ||
length: false | ||
characters: false | ||
words: false | ||
cardinality_threshold: 50 | ||
n_obs: 5 | ||
# Set to zero to disable | ||
chi_squared_threshold: 0.0 | ||
coerce_str_to_date: false | ||
redact: false | ||
histogram_largest: 10 | ||
bool: | ||
n_obs: 3 | ||
# string to boolean mapping dict | ||
mappings: | ||
t: true | ||
f: false | ||
yes: true | ||
no: false | ||
y: true | ||
n: false | ||
true: true | ||
false: false | ||
path: | ||
active: false | ||
file: | ||
active: false | ||
image: | ||
active: false | ||
exif: false | ||
hash: false | ||
url: | ||
active: false | ||
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# Sort the variables. Possible values: "ascending", "descending" or null (leaves original sorting) | ||
sort: null | ||
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# which diagrams to show | ||
missing_diagrams: | ||
bar: false | ||
matrix: false | ||
heatmap: false | ||
dendrogram: false | ||
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correlations: | ||
pearson: | ||
calculate: false | ||
warn_high_correlations: true | ||
threshold: 0.9 | ||
spearman: | ||
calculate: false | ||
warn_high_correlations: false | ||
threshold: 0.9 | ||
kendall: | ||
calculate: false | ||
warn_high_correlations: false | ||
threshold: 0.9 | ||
phi_k: | ||
calculate: false | ||
warn_high_correlations: false | ||
threshold: 0.9 | ||
cramers: | ||
calculate: false | ||
warn_high_correlations: true | ||
threshold: 0.9 | ||
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# Bivariate / Pairwise relations | ||
interactions: | ||
targets: [] | ||
continuous: false | ||
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# For categorical | ||
categorical_maximum_correlation_distinct: 10 | ||
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report: | ||
precision: 10 | ||
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# Plot-specific settings | ||
plot: | ||
# Image format (svg or png) | ||
image_format: "svg" | ||
dpi: 800 | ||
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scatter_threshold: 1000 | ||
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correlation: | ||
cmap: "viridis" | ||
bad: "#fff" | ||
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missing: | ||
cmap: "RdBu" | ||
# Force labels when there are > 50 variables | ||
# https://github.com/ResidentMario/missingno/issues/93#issuecomment-513322615 | ||
force_labels: true | ||
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pie: | ||
# display a pie chart if the number of distinct values is smaller or equal (set to 0 to disable) | ||
max_unique: 10 | ||
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histogram: | ||
x_axis_labels: true | ||
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# Number of bins (set to 0 to automatically detect the bin size) | ||
bins: 50 | ||
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# Maximum number of bins (when bins=0) | ||
max_bins: 250 | ||
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# The number of observations to show | ||
n_obs_unique: 5 | ||
n_extreme_obs: 5 | ||
n_freq_table_max: 10 | ||
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# Use `deep` flag for memory_usage | ||
memory_deep: false | ||
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# Configuration related to the duplicates | ||
duplicates: | ||
head: 0 | ||
key: "# duplicates" | ||
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# Configuration related to the samples area | ||
samples: | ||
head: 100 | ||
tail: 0 | ||
random: 0 | ||
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# Configuration related to the rejection of variables | ||
reject_variables: true | ||
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# When in a Jupyter notebook | ||
notebook: | ||
iframe: | ||
height: "800px" | ||
width: "100%" | ||
# or 'src' | ||
attribute: "srcdoc" | ||
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html: | ||
# Minify the html | ||
minify_html: true | ||
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# Offline support | ||
use_local_assets: true | ||
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# If true, single file, else directory with assets | ||
inline: true | ||
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# Show navbar | ||
navbar_show: true | ||
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# Assets prefix if inline = true | ||
assets_prefix: null | ||
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# Styling options for the HTML report | ||
style: | ||
theme: null | ||
logo: "" | ||
primary_color: "#337ab7" | ||
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full_width: false |
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