R for Political Data

Jul. 27, 2019 » A Note On Failure » The sooner we give up on something doomed to failure or mediocrity the sooner we can move on to something better.
Mar. 22, 2019 » R for Political Data Science Week 12: Do Voters Still Care About The Economy? » It is unclear whether healthy economic conditions could help — or hurt — president Trump in 2020
Mar. 15, 2019 » R for Political Data Science Week 11: Is Beto the Media Sweetheart? » O’Rourke’s bid for the presidency has scored some big media attention
Mar. 08, 2019 » R for Political Data Science Week 10: What If Each State Allocated Their Electoral College Votes Proportionally? » A theoretically appealing idea, a proportional Electoral College would have a lot of room for error.
Mar. 01, 2019 » R for Political Data Science Week 9: The “Strongest” Democrats and Republicans (That Ran for Office in 2018) » Compared to their states’ partisanships, these popular Democrats did better/worse than expected
Feb. 22, 2019 » R for Political Data Science Week 8: Four Parties in America? Probably Not Anytime Soon » Voters are too partisan for America to have four parties.
Feb. 15, 2019 » R for Political Data Science Week 7: The 2020 Twitter Primary » Let’s mine Twitter data to check patterns of speech for differences between Democratic presidential candidates.
Feb. 08, 2019 » R for Political Data Science Week 6: Just How Liberal Are the 2020 Democratic Candidates? » Many 2020 hopefuls have signed on to the Green New Deal. What exactly does that mean, and how liberal are they?
Feb. 06, 2019 » The politicaldata Package for Analyzing Political Data in R » I’ve written a R package for acquiring and analyzing political data. It’s now easier to explore polling, election results, demographic data and more.
Feb. 01, 2019 » R for Political Data Science Week 5: The Ideological Diversity of the American Electorate » What exactly are the voting preferences of the rumored “economically conservative, socially liberal” voter?
Jan. 25, 2019 » R for Political Data Science Week 4: What Happens To Our Algorithms When Socialists Vote in Congress? » Popular algorithms to calculate ideological scores for legislators might miss the meaning of counter-intuitive no votes.
Jan. 18, 2019 » R for Political Data Science Week 3: How Marginal Tax Rates Work » There has been some chatter about raising the top marginal tax rate to 70%. Here’s how tax rates actually work, and what a return to the 1970s rates could look like.
Jan. 11, 2019 » R for Political Data Science Week 2: This Early Before 2020, It’s All About Name Recognition » Ahead of the 2020 Democratic primary, there’s a very clear relationship between being better known and better liked.
Jan. 04, 2019 » R for Political Data Science Week 1: Polarization in the 115th Congress » How polarized were the most recennt members of the House of Representatives?
Jan. 03, 2019 » Weekly Posts About Data Science for Political Analysis » In 2019, I’m writing weekly posts about how we use techniques of data science to answer questions about politics.