base<-read.csv("Resultados_Desempeño_v2018_Territoriob2.csv")
summary(base$Índice.de.Desempeño.Institucional)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NAs
## 17.80 51.60 57.50 57.71 63.80 93.40 3473
hist(base$Índice.de.Desempeño.Institucional)
library(ggplot2)
ggplot(data = base, aes(x = Índice.de.Desempeño.Institucional,
y = POLÍTICA.6.Gobierno.Digital))+ geom_point()+geom_smooth()
## `geom_smooth()` using method = 'gam' and formula = 'y ~ s(x, bs = "cs")'
## Warning: Removed 3473 rows containing non-finite outside the scale range
## (`stat_smooth()`).
## Warning: Removed 3473 rows containing missing values or values outside the scale range
## (`geom_point()`).
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