STA/ISS 313 - Spring 2024 - Project 1
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!
Figure 1: Since 2017, mean album energy scores have moved in opposite directions of critical scores.
Figure 2: There is a negative correlation between mean energy score and metacritic score and an absent correlation between energy scores and user scores.
Figure 3: The danceability of bonus tracks is not representative of the entire album.
Figure 4: Over time, both bonus and album tracks become quieter