A repo for analysis of political data in the R statistical programming language.
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
data
guide
scripts
.gitignore
README.md

README.md

R for Political Data Science

A repository to provide a central location for the files and data used in my weekly posts on analyzing political data in R. Inspired by the folks participating in Tidy Tuesday, I'm really intending this to be an introduction to techniques of data science that have real world applied use cases. Again, read more on my blog.

My DataCamp Course and R Package

If you're looking for a more guided introduction to the topic, consider taking my course "Analyzing Polling and Election Data in R" at DataCamp.com. And, of course, check out my R package politicaldata that makes downloading and analyzing a lot of these data even easier.

A Guide to Analyzing Political Data in R

I am preparing a guide on how to analyze and visualize political data in R, which compiles much of the work here into a longer, more cohesive format. It is not quite long enough to be a book, but will (in the end) be fairly comprehensive. The materials for this text can be found in the /guide/ subdirectory.

Housekeeping

An overview of this repository's files for the weekly posts detailed below:

  • The /data/ subdirectory is a list of all the data used in each post, cleaned up and ready to be imported.
  • The /scripts/ subdirectory contains scripts that analyze the datasets. These scripts are made of all the same code included in the posts, but the commentary is stripped away.

If your code doesn't work, make sure you've removed references to my personal R theme, theme_elliott(), which I suggest replacing with theme_minimal(). If you're still having trouble, open an issue with a reproducible example (which you can generate easily in R using reprex).

Data and posts

Here is a table of all the posts, data, and scripts in chronological order:

Date Post link Data Script Title
2019-01-04 🔗 🔗 🔗 Polarization in the 115h Congress
2019-01-11 🔗 🔗 🔗 This Early Before 2020, It’s All About Name Recognition
2019-01-18 🔗 🔗 🔗 How Marginal Tax Rates Work
2019-01-25 🔗 🔗 🔗 What Happens To Our Algorithms When Socialists Vote in Congress
2019-02-01 🔗 🔗 🔗 The Ideological Diversity of the American Electorate
2019-02-08 🔗 🔗 🔗 Just How Liberal Are the 2020 Democratic Candidates?
2019-02-15 🔗 🔗 🔗 The 2020 Twitter Primary