a data journalist for The Economist. I specialize in political science, elections, and predictive analytics. Read on for my published writing and personal blog posts on politics and elections, data and statistics, R programming, etc. Want more? Subscribe to my newsletter and find me on Twitter. Get in touch via email.
My work — which is broadly called “data journalism,” though is less a type of specific journalism and more a philosophy of reporting that necessitates hard evidence — involves a mix of number-crunching and traditional reporting. In that vein, I also write many posts here about the techniques of data science that we use to analyze politics.
Be sure to check out my online course with DataCamp for more structured learning about data science with the R statistical programming language. I also have a package for R that provides useful functions for analyzing polls, downloading political data, and more called
politicaldata. I am in the beginning stages of writing a guide on using data science tools in R to analyze data about politics. It complements my weekly posts on the subject.
I also do a small amount of academic political science research (most of which is continued from my undergraduate education), for which you can find links scattered about. I’ve given a few talks about using data in political analysis (e.g. election forecasting) and would be happy to chat about visiting your class/workroom — just send me an email.
You can find links to my most recent writing for The Economist, blog posts, pet projects and research below. For the full list of content, follow the appropriate links in the navigation bar.