Cargando datos y librerÃas
library(sf)
## Warning: package 'sf' was built under R version 3.5.3
## Linking to GEOS 3.6.1, GDAL 2.2.3, PROJ 4.9.3
library(tidyverse)
## Warning: package 'tidyverse' was built under R version 3.5.3
## -- Attaching packages ------------------------- tidyverse 1.2.1 --
## v ggplot2 3.2.0 v purrr 0.3.2
## v tibble 2.1.1 v dplyr 0.8.1
## v tidyr 0.8.3 v stringr 1.4.0
## v readr 1.3.1 v forcats 0.4.0
## Warning: package 'ggplot2' was built under R version 3.5.3
## Warning: package 'tibble' was built under R version 3.5.3
## Warning: package 'tidyr' was built under R version 3.5.3
## Warning: package 'purrr' was built under R version 3.5.3
## Warning: package 'dplyr' was built under R version 3.5.3
## Warning: package 'stringr' was built under R version 3.5.3
## Warning: package 'forcats' was built under R version 3.5.3
## -- Conflicts ---------------------------- tidyverse_conflicts() --
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
viajes_eod<-read_delim("C:/Users/usuario/Downloads/Trabajo/Stefan/EOD_Santiago/DatosEOD/resource_datosGOB-20190611T033640Z-001/resource_datosGOB/STGO/viajes.csv",delim = ";")
## Parsed with column specification:
## cols(
## .default = col_double(),
## OrigenCoordX = col_number(),
## OrigenCoordY = col_number(),
## DestinoCoordX = col_number(),
## DestinoCoordY = col_number(),
## MediosUsados = col_character(),
## HoraIni = col_time(format = ""),
## HoraFin = col_time(format = ""),
## HoraMedia = col_time(format = ""),
## FactorLaboralNormal = col_character(),
## FactorSabadoNormal = col_number(),
## FactorDomingoNormal = col_number(),
## FactorLaboralEstival = col_number(),
## FactorFindesemanaEstival = col_number()
## )
## See spec(...) for full column specifications.
codname_com<-read_delim("C:/Users/usuario/Downloads/Trabajo/Stefan/EOD_Santiago/DatosEOD/resource_datosGOB-20190611T033640Z-001/resource_datosGOB/STGO/Tablas_parametros/Comuna.csv",delim= ";")
## Parsed with column specification:
## cols(
## Id = col_double(),
## Comuna = col_character()
## )
prop_name<-read_delim("C:/Users/usuario/Downloads/Trabajo/Stefan/EOD_Santiago/DatosEOD/resource_datosGOB-20190611T033640Z-001/resource_datosGOB/STGO/Tablas_parametros/Proposito.csv",delim= ";")
## Parsed with column specification:
## cols(
## Id = col_double(),
## Proposito = col_character()
## )
#class(viajes_eod$ComunaOrigen)
#class(viajes_eod$Proposito)
#class(codname_com$Id)
#class(prop_name$Id)
viajes_eod$Proposito<-as.factor(viajes_eod$Proposito)
viajes_eod$ComunaOrigen<-as.factor(viajes_eod$ComunaOrigen)
codname_com$Id<-as.factor(codname_com$Id)
prop_name$Id<-as.factor(prop_name$Id)
viajes_eod<-left_join(viajes_eod, codname_com, by=c("ComunaOrigen"="Id") )
## Warning: Column `ComunaOrigen`/`Id` joining factors with different levels,
## coercing to character vector
viajes_eod<-left_join(viajes_eod, prop_name, by=c("Proposito"="Id") )
split.data.frame(viajes_eod, viajes_eod$Comuna) %>%
map(., ~as.data.frame(.$Proposito[!is.na(.$Proposito)] %>%
table(.)) %>% ggplot(., aes(x=.,y=Freq))+
geom_bar (stat="identity")
)
## $`<d1>U<d1>OA`

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## $BUIN

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## $`LA CISTERNA`

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## $`LA FLORIDA`

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## $`LA GRANJA`

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## $`LA PINTANA`

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## $`LA REINA`

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## $LAMPA

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## $MACUL

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## $MAIPU

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## $MELIPILLA

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## $`PADRE HURTADO`

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## $`PE<d1>ALOLEN`

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## $PUDAHUEL

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## $`PUENTE ALTO`

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## $QUILICURA

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## $`QUINTA NORMAL`

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## $RECOLETA

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## $RENCA

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## $`SAN BERNARDO`

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## $`SAN JOAQUIN`

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## $`SAN MIGUEL`

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## $`SAN RAMON`

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## $SANTIAGO

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## $TALAGANTE

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## $VITACURA
