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182: This Data Analyst Has Analyzed 1M+ Songs (hereβs everything he knows)
Episode 182
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Data meets music πΆ β Avery sits down with Chris Reba, a data analyst whoβs studied over 1 million songs, to reveal what the numbers say about how hits are made. From uncovering Billboard chart fraud to exploring how TikTok reshaped music, this episode breaks down the art and science behind every beat.
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β TIMESTAMPS
ο»Ώ00:00 - Intro: How Chris analyzed 1M+ songs using data
01:10 - What data reveals about hit songs and music trends
03:30 - Combining qualitative and quantitative analysis
07:00 - The 1970s Billboard chart fraud explained
10:45 - Why key changes disappeared from modern pop
13:30 - How hip-hop changed song structure and sound
14:10 - TikTokβs influence on the music industry
16:10 - Inside Chrisβs open-source music dataset
22:10 - Best tools for music data analysis (SQL, Python, Datawrapper)
27:45 - Advice for aspiring music data analysts
π CONNECT WITH CHRIS
π Order Chris's Book: https://www.bloomsbury.com/us/uncharted-territory-9798765149911
π Check out Chris's Music Dataset: https://docs.google.com/spreadsheets/d/1j1AUgtMnjpFTz54UdXgCKZ1i4bNxFjf01ImJ-BqBEt0/edit?gid=1974823090#gid=1974823090
π Subscribe to Chris's' Newsletter: https://www.cantgetmuchhigher.com
π² Follow Chris on TikTok: https://www.tiktok.com/@cdallarivamusic
π CONNECT WITH AVERY
π₯Β YouTube Channel
π€ LinkedIn
πΈΒ Instagram
π΅ TikTok
π»Β Website
Mentioned in this episode:
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Published on 1Β month ago