p_name = 'plots/day5_dcc_22.png'
knitr::opts_chunk$set(
eval = F
)Day 05
R
Data Viz
ggplot2
Data analysis
Day 5 form #30dataChartChallenge
librarian::shelf(
tidyverse
, PeruData
, ggtext
)
# Enaho, P524A1 ingresos
# p207 sexo
# p510 ocupacion principal para
#
#
vari <- c("p524a1", "p207", "p510")
#data
# PeruData::inei_enaho("05", c("2010", "2020"))
enaho <- dir(here::here("Data", "enaho", "solo-data"), recursive = T, pattern = ".dta", full.names = T)
semi_clean <- function(dir){
enaho <-
haven::read_dta(dir) |>
janitor::clean_names()
Sys.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")
)
bg <- "#132A3F"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(
anio, ing_mean, group = interaction(ocu, sex), color = sex, linetype = ocu, shape = sex
) +
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"
)knitr::include_graphics('plots/day5_dcc_22.png')