At the end of each year, Spotify compiles a playlist of the songs streamed most often over the course of that year. This year's playlist (Top Tracks of 2018) includes 100 songs. The question is: What do these top songs have in common? Why do people like them?
Original Data Source: The audio features for each song were extracted using the Spotify Web API and the spotipy Python library. Credit goes to Spotify for calculating the audio feature values.
Data Description: There is one .csv file in the dataset. (top2018.csv) This file includes:
Exploring the Data: Some suggestions for what to do with the data:
Look for patterns in the audio features of the songs. Why do people
stream these songs the most?
Try to predict one audio feature based on the others
See which features correlate the most
