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stringclasses 2
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stringclasses 71
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stringlengths 21
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stringlengths 3
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|---|---|---|---|
SIVIREP | agrupar_cols_casos | Group cases by cod_eve of Pediatric Acute Myeloid Leukemia | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leucemia Aguda Pediátrica Mieloide")
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 Pediatric Acute Myeloid Leukemia | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leucemia Aguda Pediátrica Mieloide")
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 Pediatric Acute Myeloid Leukemia grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leucemia Aguda Pediátrica Mieloide")
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 Pediatric Acute Myeloid Leukemia by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leucemia Aguda Pediátrica Mieloide")
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 Malaria cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria")
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 Malaria code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria")
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 Malaria cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria")
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 Malaria cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria")
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 Malaria cases by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria")
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 Associated Malaria (Mixed Forms) by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Asociada (Formas Mixtas)")
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 Associated Malaria (Mixed Forms) | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Asociada (Formas Mixtas)")
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 Associated Malaria (Mixed Forms) | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Asociada (Formas Mixtas)")
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 Associated Malaria (Mixed Forms) grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Asociada (Formas Mixtas)")
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 Associated Malaria (Mixed Forms) by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Asociada (Formas Mixtas)")
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 Complicated Malaria cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Complicada")
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 Complicated Malaria code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Complicada")
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 Complicated Malaria by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Complicada")
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 Complicated Malaria grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Complicada")
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 Complicated Malaria by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Complicada")
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 Falciparum Malaria cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Falciparum")
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 Malaria Falciparum code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Falciparum")
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 Falciparum Malaria cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Falciparum")
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 Falciparum Malaria cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Falciparum")
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 Malaria Falciparum cases by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Falciparum")
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 Vivax Malaria cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Vivax")
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 Malaria Vivax code_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Vivax")
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 Vivax Malaria cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Vivax")
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 Vivax Malaria cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Vivax")
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 Malaria Vivax cases by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Malaria Vivax")
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 Bacterial Meningitis and Meningococcal Disease by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Bacteriana Y Enfermedad Meningocócica")
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 Bacterial Meningitis and Meningococcal Disease | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Bacteriana Y Enfermedad Meningocócica")
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 Bacterial Meningitis and Meningococcal Disease | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Bacteriana Y Enfermedad Meningocócica")
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 Bacterial Meningitis and Meningococcal Disease grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Bacteriana Y Enfermedad Meningocócica")
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 Bacterial Meningitis and Meningococcal Disease by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Bacteriana Y Enfermedad Meningocócica")
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 Meningococcal Meningitis cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Meningocócica")
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 Meningococcal Meningitis | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Meningocócica")
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 Meningococcal Meningitis | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Meningocócica")
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 Meningococcal Meningitis grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Meningocócica")
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 Meningococcal Meningitis by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Meningocócica")
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 Haemophilus Influenzae Meningitis cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Por Haemophilus Influenzae")
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 Haemophilus Influenzae Meningitis cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Por Haemophilus Influenzae")
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 Meningitis Due to Haemophilus Influenzae | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Por Haemophilus Influenzae")
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 Haemophilus Influenzae Meningitis grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Por Haemophilus Influenzae")
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 Meningitis Due to Haemophilus Influenzae by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Por Haemophilus Influenzae")
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 Pneumococcal Meningitis cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Por Neumococo")
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 Pneumococcus Meningitis | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Por Neumococo")
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 Pneumococcus Meningitis | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Por Neumococo")
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 Pneumococcus Meningitis grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Por Neumococo")
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 Pneumococcus Meningitis by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Por Neumococo")
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 Tuberculous Meningitis cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Tuberculosa")
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 Tuberculous Meningitis | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Tuberculosa")
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 Tuberculous Meningitis by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Tuberculosa")
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 Tuberculous Meningitis grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Tuberculosa")
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 Tuberculous Meningitis by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Meningitis Tuberculosa")
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 Morbidity Due to Age 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 Eda")
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 Morbidity cod_eve By Eda | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Morbilidad Por Eda")
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 Morbidity cases by age by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Morbilidad Por Eda")
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 Morbidity By Age cases 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 Eda")
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 Morbidity By Eda by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Morbilidad Por Eda")
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 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 | 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 |
Subsets and Splits