The work mainly includes two parts: 1) Data crawling part: Use bs4 to crawl the relevant data of NetEase Cloud Music, and save the crawled data to MySQL; 2) Visualization part: includes eight parts (real-time time, 7 most popular song list types, 5 most popular song list, song list data changes with months, song list data changes with days, song list number distribution, language type song list playback volume and dynamic China map). In the last part, we can see the number of song lists created in various provinces from 2015 to 2022.