Teardrops on my GitR: Visualizing musicality in Taylor Swift’s discography
STA/ISS 313 - Spring 2024 - Project 1
Background
The Taylor R package contains three datasets:
taylor_album_songs - 29 variables with 194 observations
taylor_all_songs - 29 variables with 274 observations
taylor_albums - 5 variables with 14 observations
As avid Taylor Swift listeners, we knew that her extensive song catalog would provide a robust dataset to analyze. We were excited about the opportunity to quantify the relationships between her music’s features and their impacts!
Question 1: “Is there a relationship between an album’s average energy level and its critical reception?”
Professional vs. Public Critical Reception
Figure 2: There is a negative correlation between mean energy score and metacritic score and an absent correlation between energy scores and user scores.
Question 2: “How do bonus tracks differ from album tracks?”
Danceability of bonus and album tracks
Figure 3: The danceability of bonus tracks is not representative of the entire album.
Loudness over time of bonus and album tracks
Figure 4: Over time, both bonus and album tracks become quieter
Thank you!