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stringclasses 2
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stringclasses 71
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stringlengths 21
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|---|---|---|---|
SIVIREP | agrupar_cols_casos | Group cases by Anger Morbidity code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Morbilidad Por Ira")
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 Anger Morbidity cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Morbilidad Por Ira")
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 Anger Morbidity grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Morbilidad Por Ira")
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 Anger Morbidity by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Morbilidad Por Ira")
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 Maternal Mortality cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Materna")
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 Maternal Mortality code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Materna")
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 Maternal Mortality cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Materna")
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 Maternal Mortality cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Materna")
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 the cases of Maternal Mortality by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Materna")
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 Perinatal and Late Neonatal Mortality by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Perinatal Y Neonatal Tardía")
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 Perinatal and Late Neonatal Mortality | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Perinatal Y Neonatal Tardía")
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 Perinatal and Late Neonatal Mortality | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Perinatal Y Neonatal Tardía")
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 Perinatal and Late Neonatal Mortality grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Perinatal Y Neonatal Tardía")
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 the cases of Perinatal and Late Neonatal Mortality by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Perinatal Y Neonatal Tardía")
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 Mortality cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por 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 |
SIVIREP | agrupar_cols_casos | Group cases by Dengue Mortality code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por 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 |
SIVIREP | agrupar_cols_casos | Group by event code the number of Dengue Mortality cases | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por 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 |
SIVIREP | agrupar_cols_casos | Show Dengue Mortality cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por 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 |
SIVIREP | agrupar_cols_casos | Obtain Dengue Mortality cases by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por 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 |
SIVIREP | agrupar_cols_casos | How do I group Malnutrition Mortality cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Desnutrición")
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 Malnutrition Mortality code eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Desnutrición")
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 Mortality Due to Malnutrition | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Desnutrición")
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 Mortality Due to Malnutrition grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Desnutrición")
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 the cases of Mortality Due to Malnutrition by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Desnutrición")
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 Mortality By Age 0-4 Years by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Eda 0-4 Años")
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 Mortality cod_eve By Age 0-4 Years | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Eda 0-4 Años")
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 Mortality cases By Age 0-4 Years | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Eda 0-4 Años")
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 Mortality By Age 0-4 Years grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Eda 0-4 Años")
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 Mortality Cases By Age 0-4 Years by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Eda 0-4 Años")
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 Anger Mortality cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Ira")
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 Anger Mortality code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Ira")
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 Anger Mortality cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Ira")
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 Anger Mortality cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Ira")
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 Mortality Due to Anger by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Mortalidad Por Ira")
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 Parotitis cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Parotiditis")
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 parotitis code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Parotiditis")
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 Parotitis by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Parotiditis")
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 Parotitis grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Parotiditis")
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 Parotitis by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Parotiditis")
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 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 | 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_dpto | Would you like to group the cases of the Ophidic Accident disease by departments? | The grouping by department is done like this:
```r
data_event <- import_data_event(year=2019, nombre_event="Accidente Ofídico")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_dpto(data_event=data_limpia, nomb_col="cod_dpto_o", porcentaje=FALSE)
```
Remember that this grouping is done by department code |