Mapping with ggplot

This lesson is called Mapping with ggplot, part of the Mapping with R course. This lesson is called Mapping with ggplot, part of the Mapping with R course.

Transcript

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View code shown in video

options(tigris_use_cache = TRUE)

library(tidyverse)
library(tidycensus)
library(janitor)
library(sf)

load_variables(
  year = 2023,
  dataset = "acs5/subject",
  cache = TRUE
) |>
  filter(str_detect(name, "S1601"))

get_acs(
  geography = "county",
  variable = "S1601_C01_003",
  summary_var = "S1601_C01_001"
)

speak_language_other_than_english <-
  get_acs(
    geography = "county",
    variable = "S1601_C01_003",
    summary_var = "S1601_C01_001",
    geometry = TRUE
  ) |>
  clean_names() |>
  mutate(pct = estimate / summary_est) |>
  select(name, pct)

speak_language_other_than_english

speak_language_other_than_english |>
  ggplot() +
  geom_sf()

library(tigris)

speak_language_other_than_english |>
  shift_geometry() |>
  ggplot() +
  geom_sf()

speak_language_other_than_english |>
  shift_geometry() |>
  ggplot() +
  geom_sf(aes(fill = pct))

Your Turn

Import a dataset I’ve created on the number of refugees from each country in the world
Use ggplot to make a map of this data, with countries sending higher numbers of refugees in a different color than countries with lower numbers of refugees

Learn More

Although I only show geom_sf() for working with polygon data, this function handles any type of sf object. Full details about the function available here and in Chapter 6 of Kyle Walker's book Analyzing US Census Data: Methods, Maps, and Models in R.

If you want to learn more about how to use the {tidycensus} package, I cover it in Chapter 11 of my book, R for the Rest of Us: A Statistics-Free Introduction. Chapter 4 of my book covers making maps.