library(dplyr)
library(ggplot2)
library(tango)
x = census %>% filter(grepl('Cizur', municipio)) %>%
mutate(total = ifelse(sexo == 'Hombres', total * -1, total))
ggplot(data = x,
aes(x = edad,
y = total,
fill = sexo,
group = sexo)) +
geom_bar(stat = 'identity') +
coord_flip() +
scale_y_continuous(breaks = seq(-50, 50, by = 25),
labels = abs(seq(-50, 50, by = 25)))
y = census %>% group_by(sexo, edad) %>%
summarise(total = sum(total, na.rm = T)) %>%
mutate(total = ifelse(sexo == 'Hombres', total * -1, total))
ggplot(data = y,
aes(x = edad,
y = total,
fill = sexo,
group = sexo)) +
geom_bar(stat = 'identity') +
coord_flip() +
scale_y_continuous(breaks = seq(-50, 50, by = 25),
labels = abs(seq(-50, 50, by = 25)))
z = municipios[municipios@data$id == x$id[1],]
library(sp)
plot(z)
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