We have Matt Daniels on the show, the “journalist engineer” behind Polygraph, a blog featuring beautiful journalistic pieces based on data. If you are not familiar with the site, stop now and take a look.
Matt starts with a simple question — for example, what songs from the ’90s are still popular? — and tries to answer it through data analysis and visualization. The result is always a well-crafted web page and applications, with a mix of data analysis, interactive graphics, and explanations.
On the show we talk specifically about two projects: “The most timeless songs of all-time,” in which Matt analyzes song popularity from Spotify data, and “Film Dialogue from 2,000 screenplays, Broken Down by Gender and Age,” in which he examines movie dialogues as a way to dig deeper into gender biases in the film industry.
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Matt’s Medium article “The Journalist Engineer”
Project: “The largest vocabulary in Hip Hop“
Project: “How music taste evolved“
Project: “The most timeless songs of all-time“
Project: “Film Dialogue from 2,000 screenplays, Broken Down by Gender and Age“
Washington Post: “Doctors fire back at bad Yelp reviews — and reveal patients’ information online” (Collaboration between Enrico’s Lab and ProPublica)
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- Visualizing Your "Google Search History" with Lisa Charlotte Rost
- "I Quant NY" Finding Surprising Stories in NYC Open Data with Ben Wellington
- Kim Albrecht on Untangling Tennis and the Cosmic Web
- Explorable Explanations with Nicky Case