category
stringclasses 2
values | function
stringclasses 71
values | instruction_en
stringlengths 21
489
| response_en
stringlengths 3
748
⌀ |
|---|---|---|---|
SIVIREP
|
agrupar_cols_casos
|
Group cases by Human Rabies code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Rabia Humana")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group the number of Human Rabies cases by event code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Rabia Humana")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show Human Rabies cases grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Rabia Humana")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Obtain cases of Human Rabies by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Rabia Humana")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Measles cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Sarampión")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by measles code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Sarampión")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group the number of Measles cases by event code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Sarampión")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show Measles cases grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Sarampión")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Get Measles cases by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Sarampión")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Accidental Tetanus cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tétanos Accidental")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by Accidental Tetanus code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tétanos Accidental")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group the number of cases of Accidental Tetanus by event code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tétanos Accidental")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show Accidental Tetanus cases grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tétanos Accidental")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Obtain cases of Accidental Tetanus by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tétanos Accidental")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Neonatal Tetanus cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tétanos Neonatal")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by code_eve of Neonatal Tetanus
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tétanos Neonatal")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group the number of Neonatal Tetanus cases by event code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tétanos Neonatal")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show cases of Neonatal Tetanus grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tétanos Neonatal")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Obtain cases of Neonatal Tetanus by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tétanos Neonatal")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Whooping Cough cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tos Ferina")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by Whooping Cough code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tos Ferina")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group the number of Whooping Cough cases by event code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tos Ferina")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show Whooping Cough cases grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tos Ferina")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Get the cases of Whooping Cough by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tos Ferina")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Trachoma cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tracoma")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by Trachoma code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tracoma")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group the number of Trachoma cases by event code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tracoma")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show Trachoma cases grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tracoma")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Get Trachoma cases by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tracoma")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Extra Pulmonary Tuberculosis cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Extra Pulmonar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by code eve of Extra Pulmonary Tuberculosis
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Extra Pulmonar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group by event code the number of cases of Extra Pulmonary Tuberculosis
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Extra Pulmonar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show cases of Extra Pulmonary Tuberculosis grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Extra Pulmonar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Obtain cases of Extra Pulmonary Tuberculosis by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Extra Pulmonar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Drug-resistant Tuberculosis cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Farmacorresistente")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by drug-resistant tuberculosis code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Farmacorresistente")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group by event code the number of cases of Drug-resistant Tuberculosis
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Farmacorresistente")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show cases of Drug-Resistant Tuberculosis grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Farmacorresistente")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Obtain cases of Drug-resistant Tuberculosis by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Farmacorresistente")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Pulmonary Tuberculosis cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Pulmonar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by Pulmonary Tuberculosis code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Pulmonar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group by event code the number of cases of Pulmonary Tuberculosis
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Pulmonar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show cases of Pulmonary Tuberculosis grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Pulmonar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Obtain cases of Pulmonary Tuberculosis by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Tuberculosis Pulmonar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Individual Varicella cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Varicela Individual")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by Individual Varicella code_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Varicela Individual")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group the number of Individual Varicella cases by event code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Varicela Individual")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show Individual Varicella cases grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Varicela Individual")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Obtain Individual Varicella cases by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Varicela Individual")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group the cases of Public Health Surveillance of Gender and Domestic Violence by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Vigilancia En Salud Pública De La Violencia De Género E Intrafamiliar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by public health surveillance code for gender and domestic violence.
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Vigilancia En Salud Pública De La Violencia De Género E Intrafamiliar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group by event code the number of cases of Public Health Surveillance of Gender and Domestic Violence
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Vigilancia En Salud Pública De La Violencia De Género E Intrafamiliar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show cases of Public Health Surveillance of Gender and Domestic Violence grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Vigilancia En Salud Pública De La Violencia De Género E Intrafamiliar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Obtain cases of Public Health Surveillance of Gender and Domestic Violence by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Vigilancia En Salud Pública De La Violencia De Género E Intrafamiliar")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Zika cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Zika")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by Zika code_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Zika")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group the number of Zika cases by event code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Zika")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show Zika cases grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Zika")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Get Zika cases by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Zika")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Ophidic Accident cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Accidente Ofídico")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by code_eve of Ophidic Accident
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Accidente Ofídico")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group the number of Ophidic Accident cases by event code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Accidente Ofídico")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show Ophidic Accident cases grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Accidente Ofídico")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Obtain cases of Ophidic Accident by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Accidente Ofídico")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group cases of Aggression By Animals Potentially Transmitting Rabies by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Agresiones Por Animales Potencialmente Transmisores De Rabia")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by code_eve of Aggressions by Animals Potentially Transmitting Rabies
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Agresiones Por Animales Potencialmente Transmisores De Rabia")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group by event code the number of cases of Aggression by Animals Potentially Transmitting Rabies
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Agresiones Por Animales Potencialmente Transmisores De Rabia")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show cases of Aggression By Animals Potentially Transmitting Rabies grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Agresiones Por Animales Potencialmente Transmisores De Rabia")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Obtain cases of Aggression by Animals Potentially Transmitting Rabies by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Agresiones Por Animales Potencialmente Transmisores De Rabia")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Congenital Anomalies cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Anomalías Congénitas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by cod_eve of Congenital Anomalies
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Anomalías Congénitas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group by event code the number of cases of Congenital Anomalies
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Anomalías Congénitas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show cases of Congenital Anomalies grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Anomalías Congénitas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Obtain cases of Congenital Anomalies by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Anomalías Congénitas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Low Birth Weight cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Bajo Peso Al Nacer")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by Low Birth Weight code_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Bajo Peso Al Nacer")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group by event code the number of cases of Low Birth Weight
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Bajo Peso Al Nacer")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show cases of Low Birth Weight grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Bajo Peso Al Nacer")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Get the cases of Low Birth Weight by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Bajo Peso Al Nacer")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Breast and Cervical Cancer cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer De La Mama Y Cuello Uterino")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by code_eve of Breast and Cervical Cancer
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer De La Mama Y Cuello Uterino")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group by event code the number of cases of Breast and Cervical Cancer
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer De La Mama Y Cuello Uterino")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show cases of Breast and Cervical Cancer grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer De La Mama Y Cuello Uterino")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Get the cases of Breast and Cervical Cancer by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer De La Mama Y Cuello Uterino")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Childhood Cancer cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer Infantil")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by Childhood Cancer code_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer Infantil")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group the number of cases of Childhood Cancer by event code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer Infantil")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show cases of Childhood Cancer grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer Infantil")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Obtain cases of Childhood Cancer by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Cáncer Infantil")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Chagas cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chagas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by Chagas code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chagas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group the number of Chagas cases by event code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chagas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show Chagas cases grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chagas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Get Chagas cases by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chagas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Chikunguya cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chikunguya")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group cases by Chikunguya code_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chikunguya")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Group the number of Chikunguya cases by event code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chikunguya")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Show Chikunguya cases grouped by disease code
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chikunguya")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
Get Chikunguya cases by cod_eve
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Chikunguya")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
SIVIREP
|
agrupar_cols_casos
|
How do I group Dengue cases by event code?
|
First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Dengue")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, nomb_cols=cod_eve, porcentaje=TRUE)
```
Where `data_event` reads the data and the year of interest must be modified
|
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