))
Daniel Parris uses his data science skills to answer pop culture questions you’ve probably asked yourself.
Manage episode 452498956 series 3552974
Innhold levert av Rev. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Rev eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Episode Summary
Daniel Parris is creator of the Stat Significant newsletter, where each week he uses data analytics to answer pop culture questions. In this episode he talks about creating his newsletter, the tools he uses to compile data sets and write essays, and a behind the scenes look at how he created one of his most popular essays: ‘Why Do People Hate Nickelback So Much? A Statistical Analysis’.
Guest Bio
Daniel Parris is a California-based data scientist, journalist, and consultant who writes about the intersection of statistics and popular culture. He was one of DoorDash's first 150 employees and data science hires. Since leaving DoorDash, Daniel has been dedicating his time to strategy and analytics consulting, as well as data writing. His weekly newsletter Stat Significant has over 13,000 subscribers and features data-centric essays about movies, music, TV, and more. His work has been featured by The Financial Times, Semafor, 1440, and Morning Brew.
Social Media
Rate and Subscribe
Be sure to subscribe to The Rough Draft on Spotify, Apple, or anywhere you get your podcasts in order to stay up to date with the latest episodes.
Follow Rev and The Rough Draft on Instagram, LinkedIn and X
The Rough Draft is produced by Rev, and releases a new episode every Tuesday & Thursday.
Mentioned in this episode:
44 episoder
Del
