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: - Spotify URI for the song - Name of the song - Artist(s) of the song - Audio features for the song (such as danceability, tempo, key etc.) - A more detailed explanation of the audio features can be found in the Metadata tab. **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