77 | Polygraph and The Journalist Engineer Matt Daniels
from Data Stories Hosted by Enrico Bertini and Moritz Stefaner
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. LINKS Matt Daniels 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"
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Chapters
- 0:10 Our sponsor: CartoDB
- 0:44 Moritz and Enrico catch up
- 2:47 Introducing Matt Daniels from Polygraph
- 3:41 The origins of Polygraph
- 6:12 The Most Timeless Songs of All Time project
- 9:00 Matt's visual design
- 13:12 Spotify's API
- 15:29 The process for creating a project like The Most Timeless Signs of All Time
- 24:15 Our sponsor: CartoDB
- 25:49 Matt's project on The Bechdel Test
- 31:59 The follow-up project: Film Dialogue from 2,000 Screenplays, Broken Down by Gender and Age
- 44:19 The financials behind Matt's work
- 47:20 Stay tuned on Polygraph: Matt's next project
- 48:47 Interested in collaborating with Matt? Get in touch
- 50:22 Rate us and get in touch!
- 51:24 Our sponsor: CartoDB >
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