Codebook
Sophia Barboza Gouvea
2023-11-07
library(readxl)
Feminicidio <- read_excel("C:/Users/Lenovo/OneDrive/Feminicidio.xlsx")
View(Feminicidio)
library(codebook)## Warning: package 'codebook' was built under R version 4.3.2codebook(Feminicidio)Metadata
Description
Dataset name: Feminicidio
The dataset has N=354 rows and 9 columns. 354 rows have no missing values on any column.
Metadata for search engines
- Date published: 2023-11-07
|
#Variables
municipio_cod
Distribution
Distribution of values for municipio_cod
0 missing values.
Summary statistics
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| municipio_cod | numeric | 0 | 1 | 310090 | 313670 | 317200 | 313660.5 | 2248.332 | ▇▅▆▆▇ | NA |
municipio_fato
Distribution
Distribution of values for municipio_fato
0 missing values.
Summary statistics
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| municipio_fato | character | 0 | 1 | 190 | 0 | 3 | 28 | 0 | NA |
data_fato
Distribution
## 225 unique, categorical values, so not shown.0 missing values.
Summary statistics
| name | data_type | n_missing | complete_rate | n_unique | min | median | max | label |
|---|---|---|---|---|---|---|---|---|
| data_fato | POSIXct | 0 | 1 | 225 | 2022-01-01 | 2022-07-12 | 2022-12-31 | NA |
mes
Distribution
Distribution of values for mes
0 missing values.
Summary statistics
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| mes | numeric | 0 | 1 | 1 | 7 | 12 | 6.694915 | 3.409307 | ▇▆▃▅▇ | NA |
ano
Distribution
Distribution of values for ano
0 missing values.
Summary statistics
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| ano | numeric | 0 | 1 | 2022 | 2022 | 2022 | 2022 | 0 | ▁▁▇▁▁ | NA |
risp
Distribution
Distribution of values for risp
0 missing values.
Summary statistics
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| risp | character | 0 | 1 | 19 | 0 | 23 | 38 | 0 | NA |
rmbh
Distribution
Distribution of values for rmbh
0 missing values.
Summary statistics
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| rmbh | character | 0 | 1 | 3 | 0 | 16 | 17 | 0 | NA |
tentado_consumado
Distribution
Distribution of values for tentado_consumado
0 missing values.
Summary statistics
| name | data_type | n_missing | complete_rate | n_unique | empty | min | max | whitespace | label |
|---|---|---|---|---|---|---|---|---|---|
| tentado_consumado | character | 0 | 1 | 2 | 0 | 7 | 9 | 0 | NA |
qtde_vitimas
Distribution
Distribution of values for qtde_vitimas
0 missing values.
Summary statistics
| name | data_type | n_missing | complete_rate | min | median | max | mean | sd | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|
| qtde_vitimas | numeric | 0 | 1 | 1 | 1 | 3 | 1.039548 | 0.2091825 | ▇▁▁▁▁ | NA |
Missingness report
Codebook table
| name | data_type | n_missing | complete_rate | n_unique | empty | min | median | max | mean | sd | whitespace | hist | label |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| municipio_cod | numeric | 0 | 1 | NA | NA | 310090 | 313670 | 317200 | 3.136605e+05 | 2248.3323240 | NA | ▇▅▆▆▇ | NA |
| municipio_fato | character | 0 | 1 | 190 | 0 | 3 | NA | 28 | NA | NA | 0 | NA | NA |
| data_fato | POSIXct | 0 | 1 | 225 | NA | 2022-01-01 | 2022-07-12 | 2022-12-31 | NA | NA | NA | NA | NA |
| mes | numeric | 0 | 1 | NA | NA | 1 | 7 | 12 | 6.694915e+00 | 3.4093069 | NA | ▇▆▃▅▇ | NA |
| ano | numeric | 0 | 1 | NA | NA | 2022 | 2022 | 2022 | 2.022000e+03 | 0.0000000 | NA | ▁▁▇▁▁ | NA |
| risp | character | 0 | 1 | 19 | 0 | 23 | NA | 38 | NA | NA | 0 | NA | NA |
| rmbh | character | 0 | 1 | 3 | 0 | 16 | NA | 17 | NA | NA | 0 | NA | NA |
| tentado_consumado | character | 0 | 1 | 2 | 0 | 7 | NA | 9 | NA | NA | 0 | NA | NA |
| qtde_vitimas | numeric | 0 | 1 | NA | NA | 1 | 1 | 3 | 1.039548e+00 | 0.2091825 | NA | ▇▁▁▁▁ | NA |
JSON-LD metadata
The following JSON-LD can be found by search engines, if you share this codebook publicly on the web.
{
"name": "Feminicidio",
"datePublished": "2023-11-07",
"description": "The dataset has N=354 rows and 9 columns.\n354 rows have no missing values on any column.\n\n\n## Table of variables\nThis table contains variable names, labels, and number of missing values.\nSee the complete codebook for more.\n\n|name |label | n_missing|\n|:-----------------|:-----|---------:|\n|municipio_cod |NA | 0|\n|municipio_fato |NA | 0|\n|data_fato |NA | 0|\n|mes |NA | 0|\n|ano |NA | 0|\n|risp |NA | 0|\n|rmbh |NA | 0|\n|tentado_consumado |NA | 0|\n|qtde_vitimas |NA | 0|\n\n### Note\nThis dataset was automatically described using the [codebook R package](https://rubenarslan.github.io/codebook/) (version 0.9.2).",
"keywords": ["municipio_cod", "municipio_fato", "data_fato", "mes", "ano", "risp", "rmbh", "tentado_consumado", "qtde_vitimas"],
"@context": "http://schema.org/",
"@type": "Dataset",
"variableMeasured": [
{
"name": "municipio_cod",
"@type": "propertyValue"
},
{
"name": "municipio_fato",
"@type": "propertyValue"
},
{
"name": "data_fato",
"@type": "propertyValue"
},
{
"name": "mes",
"@type": "propertyValue"
},
{
"name": "ano",
"@type": "propertyValue"
},
{
"name": "risp",
"@type": "propertyValue"
},
{
"name": "rmbh",
"@type": "propertyValue"
},
{
"name": "tentado_consumado",
"@type": "propertyValue"
},
{
"name": "qtde_vitimas",
"@type": "propertyValue"
}
]
}`