Dataset is Taylor Swift Spotify Data from

https://www.kaggle.com/datasets/thespacefreak/taylor-swift-spotify-data/data

The dataset includes variables such as song name, album name, release date, song length, popularity, danceability, acousticness, energy, instrumentalness, liveness, loudness, speechiness, valence, and tempo.

The audience would be Taylor Swift fans and music industry analysts. They could gain insights into Taylor Swift’s music style over time.

Research Questions

1. How does the evolution of Taylor Swift’s music style across her albums correlate with changes in song popularity on Spotify?

Use variables such as danceability, energy, and mood to discover Taylor Swift’s musical style over time and how these relate to song popularity.

There is no direct correlation between song danceability and popularity. Each album features popular songs without severe segregation based on danceability.

The distribution of both intensive and soft songs is evenly spread out, with both popular and less popular songs.

There is no strong or consistent correlation between the mood (valence) of Taylor Swift’s songs and their popularity. Both happy and sad songs can be popular or less popular.

2. How does the valence (happiness/sadness) of Taylor Swift’s songs change across albums, and is there a correlation between valence and her love story?

The visualization provides insights into how Taylor Swift’s personal relationships have influenced her music. I have divided the chart into two, from the reputation album as the song “Look What You Made Me Do” declares “the old Taylor is dead”.

Each major relationship mentioned (Joe Jonas, Taylor Lautner, John Mayer, Jake Gyllenhaal, Harry Styles) corresponds with a shift in the emotional tone of her music, particularly towards sadness.

The visualization effectively illustrates the evolution of Taylor Swift’s music mood from her debut to more recent albums, with a noticeable trend towards sadder songs as she delves into personal experiences and relationships. The annotations provide context to understand how these relationships have shaped her music.

The visualization provides a detailed look at how Taylor Swift’s relationship with Joe Alwyn has influenced her music.

Each major song is annotated with specific references to their relationship, highlighting key moments and emotions.

This visualization effectively illustrates the evolution of Taylor Swift’s music from the beginning of her “Reputation” era, showing a mix of happy and sad songs influenced by her long term relationship with Joe Alwyn.

Next Steps:

Look into lyrics, themes, production quality, and audience demographics to better understand what drives a song’s popularity.

Investigate how the popularity of songs changes over time to identify factors that contribute to long-term success.

Artists and producers can use these insights to make informed creative decisions, while streaming platforms can enhance recommendation algorithms.