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182: This Data Analyst Has Analyzed 1M+ Songs (here’s everything he knows)
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เนื้อหาจัดทำโดย Avery Smith - Data Career Coach เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Avery Smith - Data Career Coach หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
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Data meets music 🎶 — Avery sits down with Chris Reba, a data analyst who’s 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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⌚ TIMESTAMPS
00:00 - 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 - TikTok’s influence on the music industry
16:10 - Inside Chris’s open-source music dataset
22:10 - Best tools for music data analysis (SQL, Python, Datawrapper)
27:45 - Advice for aspiring music data analysts
🔗 CONNECT WITH CHRIS
📕 Order Chris's Book: https://www.bloomsbury.com/us/uncharted-territory-9798765149911
📊 Check out Chris's Music Dataset: https://docs.google.com/spreadsheets/d/1j1AUgtMnjpFTz54UdXgCKZ1i4bNxFjf01ImJ-BqBEt0/edit?gid=1974823090#gid=1974823090
💌 Subscribe to Chris's' Newsletter: https://www.cantgetmuchhigher.com
📲 Follow Chris on TikTok: https://www.tiktok.com/@cdallarivamusic
🔗 CONNECT WITH AVERY
🎵 TikTok
💻 Website
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182 ตอน
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