= 'plots/day5_dcc_22.png'
p_name ::opts_chunk$set(
knitreval = F
)
Day 05
R
Data Viz
ggplot2
Data analysis
Day 5 form #30dataChartChallenge
::shelf(
librarian
tidyverse
, PeruData
, ggtext
)
# Enaho, P524A1 ingresos
# p207 sexo
# p510 ocupacion principal para
#
#
<- c("p524a1", "p207", "p510")
vari
#data
# PeruData::inei_enaho("05", c("2010", "2020"))
<- dir(here::here("Data", "enaho", "solo-data"), recursive = T, pattern = ".dta", full.names = T)
enaho
<- function(dir){
semi_clean <-
enaho ::read_dta(dir) |>
haven::clean_names()
janitorSys.sleep(5)
<-
variables |>
enaho select(any_of(vari)) |>
rename(ing = 1, sex = 2, ocu = 3) |>
drop_na() |>
group_by(ocu, sex) |>
summarise(ing_mean = mean(ing), n = n())
Sys.sleep(5)
return(variables)
}
<-
enaho_data map(enaho, semi_clean) |>
map_dfr(ungroup, .id = "anio") |>
mutate(
anio = ifelse(anio == 1, 2010, 2020)
sex = ifelse(sex ==1, "Hombre", "Mujer")
,
)
<- "#132A3F" bg
|>
enaho_data mutate(
ocu = haven::as_factor(ocu)
# , anio = factor(anio, c(2010, 2020))
n_per = BBmisc::normalize(n, "range", c(1, 3))
, |>
) filter(ocu != "Cooperativa de trabajadores") |>
ggplot() +
aes(
group = interaction(ocu, sex), color = sex, linetype = ocu, shape = sex
anio, ing_mean, +
) ggtitle(
"Perú"
subtitle = glue::glue("Salarios promedios del Peru 2010, 2020<br> con la librería **PeruData**")
, +
) labs(
caption = "Data: INEI - Peru | Viz: @JhonKevinFlore1 | #30DayChartChallenge | Day5: Slope"
+
) scale_color_manual(values = c("#df4576", "#238ad3")) +
geom_line(size = 1.4) +
geom_point(size = 5.4) +
scale_x_continuous(breaks = c(2010, 2020)) +
guides(
linetype = guide_legend(
override.aes = list(
color = "white"
size = 1
,
)
)+
) theme(
plot.background = element_rect(bg)
panel.background = element_rect(bg)
, axis.text = element_text(color = "grey90", size = 14)
, axis.line = element_line(color = "grey90")
, axis.title = element_blank()
, panel.grid = element_blank()
, legend.background = element_rect(NA)
, legend.key = element_rect(NA, color = bg)
, legend.text = element_text(color ="white", size = 13)
, legend.key.width = unit(22, "mm")
, legend.title = element_blank()
,
legend.position = c(.3, .8)
, plot.title = element_text(
, hjust = .5, color = "#f24915"
size = 25, face = "bold"
,
)# , plot.subtitle = element_text(
# hjust = .5, color = "#f2b715"
# , size = 20
#
# )
plot.subtitle = element_markdown(
, hjust = .5, color = "#f2b715"
size = 20
,
)plot.caption = element_text(
, hjust = .5, color = "grey80"
size = 13
,
,
)plot.margin = unit(rep(12, 4), "mm")
,
)
ggsave(
height = 8
width = 12
, filename = "plots/day5_dcc_22.png"
,
)
::include_graphics('plots/day5_dcc_22.png') knitr