Customized NetEase Cloud Music Playlist Data Analysis Data Analysis of Python Data Analysis

Customized NetEase Cloud Music Playlist Data Analysis Data Analysis of Python Data Analysis

A few things that have gone crazy in the circle of friends recently:

Christmas lied to me, Aite WeChat official, wearing a red hat, old and bark-like, lied to me drying 18-year-old soap tablets, obviously hanging out, but lied to play by myself Despise me too poor and shame it

I personally like to listen to the recommended playlists of NetEase Cloud Music (I’m lazy), but I don’t necessarily like all the songs in a high-volume playlist, so I crawled more than 90,000 songs and customized my own NetEase Cloud Music Playlist,

Data situation

This article crawled part of the playlist and the songs in the playlist, as shown in the figure.

data analysis

  • Playlist category

A total of 673 playlists were crawled. Due to the interruption of the crawler, not all categories were crawled, but the distribution of the crawled playlist categories was relatively even.

  • The most popular playlist is pre-processed by the amount of play (some are in units of 10,000), and here are all unified to 10,000.

Jay Chou is indeed a memory of a generation, and it can be seen from the ranking that for most users, Chinese is still the most played.

  • Artist appearances
  • Playlist recommendation is still the previous issue. Through the amount of play, we can only recommend existing playlists, but sometimes not all the songs in the playlist are like listening. Speaking of my own thoughts, some songs appeared many times, so I expanded the volume of this song, sorted in this way, and got a playlist of Chinese songs.

part of data

Reference: https://cloud.tencent.com/developer/article/1155630 Python Data Analysis Customized NetEase Cloud Music Playlist Data Data Analysis-Cloud + Community-Tencent Cloud