I also limited my data to only include these lists as they pertained to the United States as opposed to how these songs ranked globally. Since Spotify did not start providing public lists of their top 200 most-played songs by week until late 2016 and we are only a few months into 2019, I limited my data to only include songs on these lists from the years 20. First, I needed data from Spotify's weekly Top 200 playlist to collect the most popular songs from each month, and then data from Spotify's API that would provide track audio features for each song such as danceability, energy, and tempo. Hypothesis: The average valence, danceability, and energy of tracks will be much higher for songs that were popular during spring and summer than those popular in the fall and winter.įor my analysis, I needed two sets of data.

For my analysis, I defined the seasons of December, January, and February as winter, March, April, and May as spring, June, July, and August as summer, and September, October, and November as fall. Using the Spotify API and downloading a number of CSV files from Spotify's weekly 'Top 200' lists, I analyzed the different audio features of the top ten most popular songs from each month to see if there were any differences between songs that were popular during different seasons. I was curious to see if others do this as well.

During the fall and winter, I tend to listen to slower, more emotional songs while in the spring and summer I listen to more upbeat songs. Personally, even the songs I listen to depend on the season.

As soon as spring hits, many of us can't wait to be outside in the sunshine, and tend to feel generally much happier than we did in the cold of winter. I'm sure we've all felt that our mood changes along with the seasons.

Seasonal Mood Changes as Seen Through Music Ryan Walker

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