Skip to content

Latest commit

 

History

History
22 lines (21 loc) · 788 Bytes

README.md

File metadata and controls

22 lines (21 loc) · 788 Bytes
Raw

Spotify Top 100 Songs (EDA)

I am doing this analysis as a training. Trying to learn basics visualizations with Pandas, Matplotlib, Seaborn.

Summary

  1. Key, mode, BPM, energy are the most important parameters.
  2. Most songs are from 2022 (2 times more than from 2023).
  3. 30% of songs were released in the spring.
  4. key_C# is the best choice:
  • Top 10 vs last 10: 30% vs 10%.
  • Top 50 vs last 50: 24% vs 14%.
  • Top 100 vs last 100: 18% vs 14%.
  1. Mode Major is more popular than Minor:
  • Top 10: 70% of mode Major.
  • Top 100: 64% of mode Major.
  • Top 50: 68% of mode Major.
  1. BPM:
  • Overall average is 120.
  • Best range is between 90 and 120.
  • Top 10 average: 118, but with large standard deviation (34).
  1. Energy:
  • Overall average is 65%.
  • Best range is between 50% and 80%.