AFS DSS_1

DSS_1.R

# install.packages("pacman")
pacman::p_load("tidyverse", "RColorBrewer", "janitor")

nitrd_fill <- read.csv("https://www.nitrd.gov/data/NITRD_Budget_Tables.csv") %>%
  janitor::clean_names(.) %>%
  mutate(
    budget = as.numeric(str_remove(as.character(budget), ",")),
    fy = as.numeric(fy)
  ) %>%
  group_by(fy, pca) %>%
  summarize(budget = sum(budget, na.rm = TRUE)) %>%
  filter(pca != "All PCAs") %>%
  pivot_wider(names_from = pca, values_from = budget) %>%
  mutate(across(everything(), ~replace_na(.x, 0))) %>%
  pivot_longer(cols = -fy, names_to = "pca", values_to = "budget") %>%
  mutate(total = sum(budget, na.rm = TRUE),
         percentage = budget/sum(budget, na.rm = TRUE))

color <- grDevices::colors()[grep('gr(a|e)y', grDevices::colors(), invert = T)]
n <- length(unique(nitrd_fill$pca))

ggplot(nitrd_fill) +
  geom_area(aes(fy, percentage, fill = pca),
            alpha = 0.5, size = 1, color = "black") +
  labs(
    title = "NITDR Budget",
    x = "Fiscal year",
    y = "% of budget",
    fill = "Program \ncomponent \nareas:",
    caption = "source: www.nitrd.gov"
  ) +
  theme_minimal() +
  theme(axis.title.x = element_text(hjust = .95, size = 9),
    axis.title.y = element_text(hjust = 1, size = 9),
    plot.title = element_text(hjust = 0.5, size = 20),
    legend.position = "bottom"
  ) +
  scale_y_continuous(labels = scales::percent) +
  scale_fill_discrete(type = sample(color, n))