1. Apprendre
    2. /
  2. Projets
    3. /
  3. Analyzing US Census Data in R
  • 1

    Census data in R with tidycensus

    Gratuit

    In this chapter, students will learn the basics of working with Census data in R with tidycensus. They will acquire data using tidycensus functions, search for data, and make a basic plot.

  • 2

    Wrangling US Census Data

    In this chapter, students learn how to use tidyverse tools to wrangle data from the US Census and American Community Survey. They also learn about handling margins of error in the ACS.

  • 3

    US Census geographic data in R

    In this chapter, students will learn how to work with US Census Bureau geographic data in R using the tigris R package.

  • 4

    Mapping US Census Data

    In this chapter, you will learn how to obtain feature geometry with the tidycensus package, and use ggplot2 and mapview to make customized static and interactive maps of US Census data.

Initializing

Exercice

Shifting Alaska and Hawaii geometry

Analysts will commonly want to map data for the entire United States by state or county; however, this can be difficult by default as Alaska and Hawaii are distant from the continental United States. A common solution is to rescale and shift Alaska and Hawaii for mapping purposes, which is supported in tidycensus. You'll learn how to do this in this exercise.

Instructions

100 XP
  • Use the tidycensus geography argument to request median home value data by state.
  • Use the shift_geo parameter to tell tidycensus to return shifted and re-scaled geometry for Alaska and Hawaii.
  • Plot your new dataset.