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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 Intoxication by Psychoactive Substances | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Intoxicación Por Sustancias Psicoactivas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Intoxication by Psychoactive Substances | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Intoxicación Por Sustancias Psicoactivas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Intoxication by Psychoactive Substances grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Intoxicación Por Sustancias Psicoactivas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Intoxication by Psychoactive Substances by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Intoxicación Por Sustancias Psicoactivas")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Cutaneous Leishmaniasis cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Cutánea")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Cutaneous Leishmaniasis | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Cutánea")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Cutaneous Leishmaniasis by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Cutánea")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Cutaneous Leishmaniasis grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Cutánea")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Cutaneous Leishmaniasis by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Cutánea")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Mucosal Leishmaniasis cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Mucosa")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Mucosal Leishmaniasis | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Mucosa")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Mucosal Leishmaniasis by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Mucosa")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Mucosal Leishmaniasis grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Mucosa")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Mucosal Leishmaniasis by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Mucosa")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Visceral Leishmaniasis cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Visceral")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Visceral Leishmaniasis | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Visceral")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Visceral Leishmaniasis | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Visceral")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Visceral Leishmaniasis grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Visceral")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Visceral Leishmaniasis by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leishmaniasis Visceral")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Leprosy cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Lepra")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Leprosy code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Lepra")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Leprosy cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Lepra")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Leprosy cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Lepra")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Leprosy cases by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Lepra")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Leptospirosis cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leptospirosis")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Leptospirosis code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leptospirosis")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Leptospirosis cases by event code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leptospirosis")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Leptospirosis cases grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leptospirosis")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Leptospirosis by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leptospirosis")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Gunpowder and Explosive Injuries cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Lesiones Por Pólvora Y Explosivos")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Gunpowder and Explosive Injuries | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Lesiones Por Pólvora Y Explosivos")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Gunpowder and Explosive Injuries | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Lesiones Por Pólvora Y Explosivos")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Gunpowder and Explosive Injuries grouped by disease code | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Lesiones Por Pólvora Y Explosivos")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Gunpowder and Explosive Injuries by cod_eve | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Lesiones Por Pólvora Y Explosivos")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Pediatric Acute Lymphoid Leukemia cases by event code? | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leucemia Aguda Pediátrica Linfoide")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Pediatric Acute Lymphoid Leukemia | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leucemia Aguda Pediátrica Linfoide")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Lymphoid Leukemia | First the DataFrame to be used must be read:
```r
data_event <- import_data_event(year=2019, nombre_event="Leucemia Aguda Pediátrica Linfoide")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Lymphoid 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 Linfoide")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Lymphoid 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 Linfoide")
data_limpia <- limpiar_data_sivigila(data_event)
agrupar_cols_casos(data_event=data_limpia, 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 Pediatric Acute Myeloid Leukemia cases by event 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 | 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 |