Projects
Here is a sampling of my data projects, some completed through work and others as side experiments. Repos are either on my personal page or the Pew Research Center Github. Any side projects are my own and do not reflect research interests of the Pew Research Center.
Exploring the link between European political parties’ ideology and their popularity on Twitter
- We manually collected the Twitter account handles of European political parties, then used the Twitter API to obtain account information for each.
- Then, we combined social media metrics with survey data related to party ideology. Using a random effects model, we predict whether more ideologically “extreme” parties have more Twitter followers.
- I presented this data at the 2019 AAPOR conference. It’s now published on Pew Research Center’s Medium site.
How quantitative methods can supplement a qualitative approach when working with focus groups
- After conducting 26 focus groups in the U.S. and UK, we wondered if we could use quantitative methods to more effectively analyze all of the transcripts.
- I used the
tidytextpackage for basic text analysis, thestmpackage to run structural topic models that compared topic prevalence by country and thetidymodelsandrecipespackages for a text-based classification model for topic prediction.
Analyzing international survey data with the pewmethods R package
- Pew Research Center’s methods team released a package for survey analysis,
pewmethods - In this post, I demonstrate the package’s capabilities for analyzing multi-country, weighted survey data with complex designs
- Additionally, I show two dataxiz examples with survey data using
ggplotandrworldmap