hrbrpkghelpr::global_opts()
hrbrpkghelpr::stinking_badges()
hrbrpkghelpr::yank_title_and_description()

What's Inside The Tin

The following functions are implemented:

hrbrpkghelpr::describe_ingredients()

Installation

hrbrpkghelpr::install_block()

Usage

library(epidata)

# current version
packageVersion("epidata")
get_black_white_wage_gap()

get_underemployment()

get_median_and_mean_wages("gr")

Extended Example

library(tidyverse)
library(epidata)
library(ggrepel)
library(hrbrthemes)

unemployment <- get_unemployment()
wages <- get_median_and_mean_wages()

glimpse(wages)

glimpse(unemployment)

unemployment %>% 
  group_by(date = as.integer(lubridate::year(date))) %>%
  summarise(rate = mean(all)) %>%
  left_join(select(wages, date, median), by = "date") %>%
  filter(!is.na(median)) %>%
  arrange(date) -> xdf

cols <- ggthemes::tableau_color_pal()(3)

update_geom_font_defaults(font_rc)

ggplot(xdf, aes(rate, median)) +
  geom_path(
     color = cols[1], 
     arrow = arrow(
       type = "closed", 
       length = unit(10, "points")
    )
  ) +
  geom_point() +
  geom_label_repel(
    aes(label = date),
    alpha = c(1, rep((4/5), (nrow(xdf)-2)), 1),
    size = c(5, rep(3, (nrow(xdf)-2)), 5),
    color = c(cols[2], rep("#2b2b2b", (nrow(xdf)-2)), cols[3]),
    family = font_rc
  ) +
  scale_x_continuous(
    name = "Unemployment Rate", 
    expand = c(0,0.001), label = scales::percent
  ) +
  scale_y_continuous(
    name = "Median Wage", 
    expand = c(0,0.25), 
    label = scales::dollar
  ) +
  labs(
    title = "U.S. Unemployment Rate vs Median Wage Since 1978",
    subtitle = "Wage data is in 2015 USD",
    caption = "Source: EPI analysis of Current Population Survey Outgoing Rotation Group microdata"
  ) +
  theme_ipsum_rc(grid="XY")

epidata Metrics

cloc::cloc_pkg_md()

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.



hrbrmstr/epidata documentation built on Aug. 26, 2020, 11:38 a.m.