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Fix misspelling
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Both Minas Gerais and Goiás were misspelled, which
affected all figures and tables. This has been
fixed.
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@zkamvar
zkamvar committed Feb 28, 2018
1 parent f9444c6 commit 81d22aa
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Showing 13 changed files with 91 additions and 91 deletions.
22 changes: 11 additions & 11 deletions 01-CleanData.R
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Original file line number Diff line number Diff line change
Expand Up @@ -78,21 +78,21 @@ full_data <- mutate(full_data,
`JRS-Geographical Location` == 'Ewing, NE' ~ 'North America_United States_Midwest_Ewing, NE',
`JRS-Geographical Location` == 'Auburn, NE' ~ 'North America_United States_Midwest_Auburn, NE',
`JRS-Geographical Location` == 'Argentina' ~ 'South America_Argentina_Argentina_Argentina',
`JRS-Geographical Location` == 'Rio Verde/GO, Brazil' ~ 'South America_Brazil_Góias_Rio Verde',
`JRS-Geographical Location` == 'Rio Verde/GO, Brazil' ~ 'South America_Brazil_Goiás_Rio Verde',
`JRS-Geographical Location` == 'Campo Mourão/PR, Brazil' ~ 'South America_Brazil_Paraná_Campo Mourão',
`JRS-Geographical Location` == 'São Miguel do Passo Quatro/GO' ~ 'South America_Brazil_Góias_São Miguel do Passo',
`JRS-Geographical Location` == 'Pinhão/PR, Brazil' ~ 'South America_Brazil_Paraná_Pinhão', # Note: in Anthony's data, one isolate labeled as South America_Brazil_Góias
`JRS-Geographical Location` == 'Formoso, GO, Brazil' ~ 'South America_Brazil_Góias_Formoso',
`JRS-Geographical Location` == 'São Miguel do Passo Quatro/GO' ~ 'South America_Brazil_Goiás_São Miguel do Passo',
`JRS-Geographical Location` == 'Pinhão/PR, Brazil' ~ 'South America_Brazil_Paraná_Pinhão', # Note: in Anthony's data, one isolate labeled as South America_Brazil_Goiás
`JRS-Geographical Location` == 'Formoso, GO, Brazil' ~ 'South America_Brazil_Goiás_Formoso',
`JRS-Geographical Location` == 'Guarapuava, PR, Brazil' ~ 'South America_Brazil_Paraná_Guarapuava',
`JRS-Geographical Location` == 'Luiz Eduardo Magalhães/BA, Brazil' ~ 'South America_Brazil_Bahia_Bahia',
`JRS-Geographical Location` == 'Mauá da Serra/PR, Brazil' ~ 'South America_Brazil_Paraná_Mauá da Serra',
`JRS-Geographical Location` == 'Nᾶo me Toque/Rio Grande do Sul, Brazil' ~ 'South America_Brazil_Rio Grande do Sul_Não me Toque',
`JRS-Geographical Location` == 'Sᾶo Desidério/Bahia, Brazil' ~ 'South America_Brazil_Bahia_São Desidério',
`JRS-Geographical Location` == 'Jataí/GO, Brazil' ~ 'South America_Brazil_Góias_Jataí',
`JRS-Geographical Location` == 'Cristalina/GO, Brazil' ~ 'South America_Brazil_Góias_Cristalina',
`JRS-Geographical Location` == 'Formosa/GO, Brazil' ~ 'South America_Brazil_Góias_Formosa',
`JRS-Geographical Location` == 'Sudeste/GO, Brazil' ~ 'South America_Brazil_Góias_Sudeste',
`JRS-Geographical Location` == 'Uberlândia/MG, Brazil' ~ 'South America_Brazil_Minas Gerias_Uberlândia',
`JRS-Geographical Location` == 'Jataí/GO, Brazil' ~ 'South America_Brazil_Goiás_Jataí',
`JRS-Geographical Location` == 'Cristalina/GO, Brazil' ~ 'South America_Brazil_Goiás_Cristalina',
`JRS-Geographical Location` == 'Formosa/GO, Brazil' ~ 'South America_Brazil_Goiás_Formosa',
`JRS-Geographical Location` == 'Sudeste/GO, Brazil' ~ 'South America_Brazil_Goiás_Sudeste',
`JRS-Geographical Location` == 'Uberlândia/MG, Brazil' ~ 'South America_Brazil_Minas Gerais_Uberlândia',
`JRS-Geographical Location` == 'Correntina/BA, Brazil' ~ 'South America_Brazil_Bahia_Correntina',
`JRS-Geographical Location` == 'Bahia, Brazil' ~ 'South America_Brazil_Bahia_Bahia',
`JRS-Geographical Location` == 'Vacaria/RS, Brazil' ~ 'South America_Brazil_Rio Grande do Sul_Vacaria',
Expand Down Expand Up @@ -142,9 +142,9 @@ gid <- df2genind(select(clean_data, matches("\\d-\\d")),
other(gid)$palette <- c("Midwest" = "#000000",
"Argentina" = "#F0E442", # "#E69F00",
"Bahia" = "#56B4E9",
"Góias" = "#009E73",
"Goiás" = "#009E73",
"Mato Grosso do Sul" = "#E69F00",
"Minas Gerias" = "#0072B2",
"Minas Gerais" = "#0072B2",
"Paraná" = "#D55E00",
"Rio Grande do Sul" = "#CC79A7")

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72 changes: 36 additions & 36 deletions data-clean.txt
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50 changes: 25 additions & 25 deletions data/clean-genotypes.csv
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Expand Up @@ -19,38 +19,38 @@ GenoID,MCG,Year,Continent,Country,Population,Subpop,5-2,6-2,7-2,8-3,9-2,12-2,20-
541B,J,2012,North America,United States,Midwest,"Ewing, NE",332,501,182,264,371,234,294,207,389,351,354
834A,L,2009,North America,United States,Midwest,"Auburn, NE",334,495,184,262,371,234,292,207,385,351,360
834B,L,2009,North America,United States,Midwest,"Auburn, NE",330,NA,184,262,360,228,292,183,389,367,360
978E2,NA,2012,South America,Brazil,G�ias,Rio Verde,332,505,174,264,NA,230,292,207,385,351,360
978E2,NA,2012,South America,Brazil,Goi�s,Rio Verde,332,505,174,264,NA,230,292,207,385,351,360
1010,R,2014,South America,Brazil,Paran�,Campo Mour�o,340,505,172,264,360,230,292,223,NA,351,360
1011,R,2014,South America,Brazil,Paran�,Campo Mour�o,332,505,174,264,371,230,292,207,385,367,360
1012,Q,2014,South America,Brazil,Paran�,Campo Mour�o,334,505,174,268,371,228,292,207,381,351,360
1013,Q,2014,South America,Brazil,Paran�,Campo Mour�o,332,505,182,268,375,228,292,207,381,351,360
1014,Q,2014,South America,Brazil,Paran�,Campo Mour�o,332,495,182,268,388,228,292,207,381,367,360
1015,N,2012,South America,Brazil,G�ias,S�o Miguel do Passo,332,505,174,264,371,228,292,207,385,351,354
1015,N,2012,South America,Brazil,Goi�s,S�o Miguel do Passo,332,505,174,264,371,228,292,207,385,351,354
1016,N,2012,South America,Brazil,Paran�,Pinh�o,332,505,174,264,370,230,292,183,385,351,354
1017,N,2012,South America,Brazil,G�ias,Formoso,332,505,174,264,388,230,292,207,NA,351,360
1017,N,2012,South America,Brazil,Goi�s,Formoso,332,505,174,264,388,230,292,207,NA,351,360
1018,R,2012,South America,Brazil,Paran�,Guarapuava,332,505,174,264,371,230,NA,207,385,351,360
1019,N,2012,South America,Brazil,Bahia,Bahia,332,505,174,264,371,230,292,207,NA,351,360
1020,Y,2012,South America,Brazil,Paran�,Pinh�o,332,505,182,264,371,234,294,219,385,351,354
1021,Z,2012,South America,Brazil,Paran�,Mau� da Serra,340,505,182,280,371,230,292,207,381,351,354
1022,N,2012,South America,Brazil,Rio Grande do Sul,N�o me Toque,332,505,174,264,371,230,283,207,385,351,360
1023,N,2012,South America,Brazil,Bahia,S�o Desid�rio,332,505,174,264,371,230,292,207,385,367,360
1,NA,2010,South America,Brazil,G�ias,Jata�,336,505,NA,256,371,228,283,207,381,367,354
3,NA,2010,South America,Brazil,G�ias,Jata�,332,505,172,256,371,228,NA,207,381,351,360
5,NA,2010,South America,Brazil,G�ias,Cristalina,332,495,186,264,388,234,283,207,381,367,354
6,NA,2010,South America,Brazil,G�ias,Formosa,332,505,172,256,388,228,335,207,385,351,354
7,NA,2010,South America,Brazil,G�ias,Formosa,332,505,174,264,371,230,283,207,385,367,354
8,NA,2010,South America,Brazil,G�ias,Sudeste,332,505,174,264,388,230,292,207,385,351,360
9,NA,2010,South America,Brazil,G�ias,Sudeste,326,505,174,264,371,230,NA,207,385,367,360
12,NA,2010,South America,Brazil,G�ias,Sudeste,340,505,174,264,371,230,283,207,385,367,354
13,NA,2010,South America,Brazil,G�ias,Sudeste,326,505,172,256,388,228,283,207,385,367,354
14,NA,2010,South America,Brazil,G�ias,Sudeste,332,505,174,264,371,230,283,207,385,367,354
15,NA,2009,South America,Brazil,Minas Gerias,Uberl�ndia,332,505,172,256,388,228,NA,207,381,367,354
16,NA,2009,South America,Brazil,Minas Gerias,Uberl�ndia,332,505,174,264,388,230,285,207,385,367,354
17,NA,2009,South America,Brazil,Minas Gerias,Uberl�ndia,330,505,174,264,388,228,NA,207,385,367,354
18,NA,2009,South America,Brazil,Minas Gerias,Uberl�ndia,330,505,174,264,388,230,283,207,385,367,354
20,NA,2009,South America,Brazil,Minas Gerias,Uberl�ndia,330,505,174,264,388,230,283,207,385,367,354
22,NA,2009,South America,Brazil,Minas Gerias,Uberl�ndia,332,505,174,264,388,230,283,207,385,367,354
24,NA,2009,South America,Brazil,Minas Gerias,Uberl�ndia,332,505,174,264,371,230,283,207,385,367,354
1,NA,2010,South America,Brazil,Goi�s,Jata�,336,505,NA,256,371,228,283,207,381,367,354
3,NA,2010,South America,Brazil,Goi�s,Jata�,332,505,172,256,371,228,NA,207,381,351,360
5,NA,2010,South America,Brazil,Goi�s,Cristalina,332,495,186,264,388,234,283,207,381,367,354
6,NA,2010,South America,Brazil,Goi�s,Formosa,332,505,172,256,388,228,335,207,385,351,354
7,NA,2010,South America,Brazil,Goi�s,Formosa,332,505,174,264,371,230,283,207,385,367,354
8,NA,2010,South America,Brazil,Goi�s,Sudeste,332,505,174,264,388,230,292,207,385,351,360
9,NA,2010,South America,Brazil,Goi�s,Sudeste,326,505,174,264,371,230,NA,207,385,367,360
12,NA,2010,South America,Brazil,Goi�s,Sudeste,340,505,174,264,371,230,283,207,385,367,354
13,NA,2010,South America,Brazil,Goi�s,Sudeste,326,505,172,256,388,228,283,207,385,367,354
14,NA,2010,South America,Brazil,Goi�s,Sudeste,332,505,174,264,371,230,283,207,385,367,354
15,NA,2009,South America,Brazil,Minas Gerais,Uberl�ndia,332,505,172,256,388,228,NA,207,381,367,354
16,NA,2009,South America,Brazil,Minas Gerais,Uberl�ndia,332,505,174,264,388,230,285,207,385,367,354
17,NA,2009,South America,Brazil,Minas Gerais,Uberl�ndia,330,505,174,264,388,228,NA,207,385,367,354
18,NA,2009,South America,Brazil,Minas Gerais,Uberl�ndia,330,505,174,264,388,230,283,207,385,367,354
20,NA,2009,South America,Brazil,Minas Gerais,Uberl�ndia,330,505,174,264,388,230,283,207,385,367,354
22,NA,2009,South America,Brazil,Minas Gerais,Uberl�ndia,332,505,174,264,388,230,283,207,385,367,354
24,NA,2009,South America,Brazil,Minas Gerais,Uberl�ndia,332,505,174,264,371,230,283,207,385,367,354
25,NA,2010,South America,Brazil,Bahia,Correntina,332,505,174,264,388,230,283,207,385,367,354
26,NA,2010,South America,Brazil,Bahia,Correntina,332,505,174,264,371,230,NA,207,385,367,354
27,NA,2010,South America,Brazil,Bahia,Correntina,332,NA,NA,264,388,234,283,207,381,367,354
Expand Down Expand Up @@ -83,11 +83,11 @@ GenoID,MCG,Year,Continent,Country,Population,Subpop,5-2,6-2,7-2,8-3,9-2,12-2,20-
977C,I,2012,South America,Brazil,Mato Grosso do Sul,Chapad�o do Sul,332,505,172,256,NA,228,292,207,385,367,360
977D,I,2012,South America,Brazil,Mato Grosso do Sul,Chapad�o do Sul,332,505,172,256,371,228,296,NA,385,367,360
977E,N,2012,South America,Brazil,Mato Grosso do Sul,Chapad�o do Sul,332,505,174,264,NA,234,292,207,385,367,360
978A,N,2012,South America,Brazil,G�ias,Rio Verde,332,505,182,264,371,230,292,207,NA,367,354
978B,N,2012,South America,Brazil,G�ias,Rio Verde,332,505,174,264,371,234,292,191,385,367,354
978C,N,2012,South America,Brazil,G�ias,Rio Verde,332,525,174,264,371,230,292,207,NA,367,354
978D,N,2012,South America,Brazil,G�ias,Rio Verde,332,505,174,264,371,230,284,207,385,367,354
978E,N,2012,South America,Brazil,G�ias,Rio Verde,332,505,174,264,NA,230,292,207,385,367,354
978A,N,2012,South America,Brazil,Goi�s,Rio Verde,332,505,182,264,371,230,292,207,NA,367,354
978B,N,2012,South America,Brazil,Goi�s,Rio Verde,332,505,174,264,371,234,292,191,385,367,354
978C,N,2012,South America,Brazil,Goi�s,Rio Verde,332,525,174,264,371,230,292,207,NA,367,354
978D,N,2012,South America,Brazil,Goi�s,Rio Verde,332,505,174,264,371,230,284,207,385,367,354
978E,N,2012,South America,Brazil,Goi�s,Rio Verde,332,505,174,264,NA,230,292,207,385,367,354
979A,O,2012,South America,Brazil,Rio Grande do Sul,Vacaria,330,525,182,280,371,226,294,207,385,367,360
979B,N,2012,South America,Brazil,Rio Grande do Sul,Vacaria,NA,505,174,264,NA,230,292,207,385,367,360
979C,O,2012,South America,Brazil,Rio Grande do Sul,Vacaria,330,525,182,280,388,226,294,207,385,367,360
Expand Down
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24 changes: 12 additions & 12 deletions results/02-GeneralPopDetails.Rout
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Expand Up @@ -72,11 +72,11 @@ OMP parallel support: available
? A B C D E F G H I J K L M N O P Q R S T U V W Y Z
Midwest 0 3 2 0 0 0 0 0 1 1 2 3 2 1 0 0 0 0 0 0 0 0 0 0 0 0
Argentina 0 0 0 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Góias 11 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0
Goiás 11 0 0 0 0 0 0 0 0 0 0 0 0 0 7 0 0 0 0 0 0 0 0 0 0 0
Paraná 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3 3 2 3 0 0 0 1 1
Bahia 6 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 3 0 0 0 0 1 0 0 0 0
Rio Grande do Sul 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 6 0 2 2 0 0 0 1 1 0 0
Minas Gerias 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Minas Gerais 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Mato Grosso do Sul 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0
>
> # The plot produced needs to be cleaned up a bit:
Expand Down Expand Up @@ -138,11 +138,11 @@ null device
Population 5-2 6-2 7-2 8-3 9-2 12-2 20-3 55-4 110-4 114-4 17-3 Mean
Midwest . 0.133 0.067 . . . . 0.067 . . . 0.024
Argentina 0.400 . . . 0.200 . . . . . . 0.055
Góias . . 0.056 . 0.111 . 0.111 . 0.167 . . 0.040
Goiás . . 0.056 . 0.111 . 0.111 . 0.167 . . 0.040
Paraná 0.067 . 0.067 . . . 0.067 0.133 0.067 . . 0.036
Bahia 0.077 0.077 0.077 . . . 0.077 0.077 0.154 . . 0.049
Rio Grande do Sul 0.125 . . . 0.062 . . 0.188 0.125 . . 0.045
Minas Gerias . . . . . . 0.286 . . . . 0.026
Minas Gerais . . . . . . 0.286 . . . . 0.026
Mato Grosso do Sul . . . . 0.400 . . 0.200 . . . 0.055
Total 0.064 0.032 0.043 . 0.064 . 0.064 0.085 0.085 . . 0.040
>
Expand Down Expand Up @@ -177,11 +177,11 @@ Population 5-2 6-2 7-2 8-3 9-2 12-2 20-3 55-4 110-4 114-4 17
# A tibble: 8 x 5
Continent Country Population `Year(s) Collected` n
<fct> <fct> <fct> <chr> <int>
1 South America Brazil Góias 2012, 2010 18
1 South America Brazil Goiás 2012, 2010 18
2 South America Brazil Rio Grande do Sul 2012 16
3 South America Brazil Paraná 2012, 2014 15
4 South America Brazil Bahia 2012, 2010 13
5 South America Brazil Minas Gerias 2009 7
5 South America Brazil Minas Gerais 2009 7
6 South America Brazil Mato Grosso do Sul 2012 5
7 South America Argentina Argentina 1996 5
8 North America United States Midwest 1977, 1990, 1994, 1996, 1999, 2012, 2009 15
Expand All @@ -198,11 +198,11 @@ Population 5-2 6-2 7-2 8-3 9-2 12-2 20-3 55-4 110-4 114-4 17
5-2 6-2 7-2 8-3 9-2 12-2 20-3 55-4 110-4
Midwest 1 1 1 1 0 0 0 2 1
Argentina 0 0 0 0 0 0 1 1 0
Góias 2 0 0 0 0 0 2 0 0
Goiás 2 0 0 0 0 0 2 0 0
Paraná 0 0 0 2 1 0 0 3 0
Bahia 0 0 1 0 0 1 2 0 0
Rio Grande do Sul 0 0 0 0 1 0 1 1 0
Minas Gerias 0 0 0 0 0 0 0 0 0
Minas Gerais 0 0 0 0 0 0 0 0 0
Mato Grosso do Sul 1 0 0 0 0 0 1 0 0
> (pal_ctry <- private_alleles(CD, locus ~ Country, count.alleles = FALSE))
5-2 6-2 7-2 8-3 9-2 12-2 20-3 55-4 110-4
Expand All @@ -221,11 +221,11 @@ South America 3 2 4 4 3 2 9 6 0
5-2 6-2 7-2 8-3 9-2 12-2 20-3 55-4 110-4
Midwest 0.125 0.25 0.1666667 0.1428571 0.0000000 0.0 0.00000000 0.18181818 0.25
Argentina 0.000 0.00 0.0000000 0.0000000 0.0000000 0.0 0.09090909 0.09090909 0.00
Góias 0.250 0.00 0.0000000 0.0000000 0.0000000 0.0 0.18181818 0.00000000 0.00
Goiás 0.250 0.00 0.0000000 0.0000000 0.0000000 0.0 0.18181818 0.00000000 0.00
Paraná 0.000 0.00 0.0000000 0.2857143 0.1666667 0.0 0.00000000 0.27272727 0.00
Bahia 0.000 0.00 0.1666667 0.0000000 0.0000000 0.2 0.18181818 0.00000000 0.00
Rio Grande do Sul 0.000 0.00 0.0000000 0.0000000 0.1666667 0.0 0.09090909 0.09090909 0.00
Minas Gerias 0.000 0.00 0.0000000 0.0000000 0.0000000 0.0 0.00000000 0.00000000 0.00
Minas Gerais 0.000 0.00 0.0000000 0.0000000 0.0000000 0.0 0.00000000 0.00000000 0.00
Mato Grosso do Sul 0.125 0.00 0.0000000 0.0000000 0.0000000 0.0 0.09090909 0.00000000 0.00
> print(priv_fraction <- sweep(pal_ctry, 2, nAll(CD)[colnames(pal_ctry)], FUN = "/"))
5-2 6-2 7-2 8-3 9-2 12-2 20-3 55-4 110-4
Expand Down Expand Up @@ -343,11 +343,11 @@ There were 15 warnings (use warnings() to see them)
<chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 S. America - - 79 (72) 5.36 33.0 2.22 0.525 68.9 64.3 0.932
2 S. America Brazil - 74 (67) 5.18 25.0 2.16 0.512 64.0 59.5 0.929
3 S. America Brazil Góias 18 (17) 2.73 4.00 1.79 0.408 16.7 16.2 0.970
3 S. America Brazil Goiás 18 (17) 2.73 4.00 1.79 0.408 16.7 16.2 0.970
4 S. America Brazil Rio Grande do Sul 16 (16) 3.27 3.00 2.49 0.579 16.0 16.0 1.00
5 S. America Brazil Paraná 15 (15) 3.18 6.00 2.73 0.564 15.0 15.0 1.00
6 S. America Brazil Bahia 13 (13) 2.64 4.00 2.01 0.461 13.0 13.0 1.00
7 S. America Brazil Minas Gerias 7 (6) 1.64 0 1.41 0.235 5.74 5.44 0.937
7 S. America Brazil Minas Gerais 7 (6) 1.64 0 1.41 0.235 5.74 5.44 0.937
8 S. America Brazil Mato Grosso do Sul 5 (5) 2.18 2.00 2.35 0.479 5.00 5.00 1.00
9 S. America Argentina - 5 (5) 2.27 2.00 3.20 0.561 5.00 5.00 1.00
10 N. America U.S. Midwest 15 (11) 3.00 7.00 2.01 0.472 8.77 6.43 0.698
Expand Down
4 changes: 2 additions & 2 deletions tables/country-population-year-n.csv
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@@ -1,9 +1,9 @@
Continent,Country,Population,Year(s) Collected,n
South America,Brazil,G�ias,"2012, 2010",18
South America,Brazil,Goi�s,"2012, 2010",18
South America,Brazil,Rio Grande do Sul,2012,16
South America,Brazil,Paran�,"2012, 2014",15
South America,Brazil,Bahia,"2012, 2010",13
South America,Brazil,Minas Gerias,2009,7
South America,Brazil,Minas Gerais,2009,7
South America,Brazil,Mato Grosso do Sul,2012,5
South America,Argentina,Argentina,1996,5
North America,United States,Midwest,"1977, 1990, 1994, 1996, 1999, 2012, 2009",15
4 changes: 2 additions & 2 deletions tables/diversity-statistics.csv
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@@ -1,11 +1,11 @@
Continent,Country,Population,N,Alleles,Ap,Ae,Hexp,eH,G,E.5
S. America,-,-,79 (72),5.36,33,2.22,0.525,68.9,64.3,0.932
S. America,Brazil,-,74 (67),5.18,25,2.16,0.512,64,59.5,0.929
S. America,Brazil,G�ias,18 (17),2.73,4,1.79,0.408,16.7,16.2,0.97
S. America,Brazil,Goi�s,18 (17),2.73,4,1.79,0.408,16.7,16.2,0.97
S. America,Brazil,Rio Grande do Sul,16 (16),3.27,3,2.49,0.579,16,16,1
S. America,Brazil,Paran�,15 (15),3.18,6,2.73,0.564,15,15,1
S. America,Brazil,Bahia,13 (13),2.64,4,2.01,0.461,13,13,1
S. America,Brazil,Minas Gerias,7 (6),1.64,0,1.41,0.235,5.74,5.44,0.937
S. America,Brazil,Minas Gerais,7 (6),1.64,0,1.41,0.235,5.74,5.44,0.937
S. America,Brazil,Mato Grosso do Sul,5 (5),2.18,2,2.35,0.479,5,5,1
S. America,Argentina,-,5 (5),2.27,2,3.2,0.561,5,5,1
N. America,U.S.,Midwest,15 (11),3,7,2.01,0.472,8.77,6.43,0.698
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