Taylor Swift’s Music: Enhancing Your Mood?

R Taylor Swift Data Analysis

Taylor Swift’s Music: Enhancing Your Mood?

Taylor Swift has 33.2 billion streams and 58.4 million monthly listeners, making her the Top 10 greatest artist in Spotify history. Taylor Swift fans come from all over the world and eagerly await the release of her new album every year. To understand Taylor Swift fans via song characters, I analyze multiple variables. Here is the explanation for each variabel song characters (source spotify develover ):

Danceability: The danceability of a song is driven by a variety of musical aspects, including pace, rhythm stability, beat power, and overall regularity.

Energy: A measure ranging from 0.0 to 1.0 that represents a perceptual measure of intensity and activity. Typically, energetic tracks have a fast, loud, and noisy feel to them.

Valence : Tracks with a high valence sound more positive (for example, happy, cheerful, and euphoric), whereas tracks with a low valence sound more negative (e.g. sad, depressed, angry).

Tempo : Tempo is the speed or pace of a piece in musical terms, and it is derived directly from the average beat duration.

Popularity : Popularity is algorithmically determined by play count and recency. It’s worth mentioning that the popularity value might slightly lag behind real-time trends by a few days due to non-immediate updates.

Taylor Swift Songs Stream Around The World

The figure above depicts the total data streaming of Taylor Swift songs on Spotify from 2017 to 2021 globally. According to the visualization above, American listeners dominate the Taylor Songs audience.

Taylor Swift Spotify Streams

R Taylor Swift Data Analysis

Taylor Swift’s songs were more enjoyed by listeners in 2020 than in any other year. Lets analyze more specific, I’d like to know which Taylor Swift song was the 10 most streamed on Spotify globally between 2017 and 2021.

Top 10 Taylor Swift Songs Streamed Worldwide 2017-2021

R Taylor Swift Data Analysis
The top ten most streamed Taylor Swift songs indicate a high level of energy and valence; additionally, the more energetic and valence the song character, the higher the number of song streams, implying that most listeners are more likely to enjoy the energetic and valence Taylor Swifts songs. Is it true that all of the characteristics listed above are related? Let’s get into more specifics.
R Taylor Swift Data Analysis

The Song Characters Correlation with Total Streams of Taylor Swift’s Top 10 Most-Streamed Songs

All of the variables of song characters and total streams show a positive correlation. Specifically, the variables energy, valence, tempo, and popularity.

According to the correlation analysis, the most streamed songs have a high level of energy, valence, tempo, and popularity. There is a strong connection between valence, energy, and popularity implying that energetic songs promote cheerful, euphoria, and happy feelings.

The findings indicate that Spotify listeners are more inclined to stream Taylor Swift songs from 2017 to 2021 that exhibit a fast tempo, loudness, and energetic noise.

R Taylor Swift Data Analysis

Taylor Swift’s songs make the listener feel upbeat, euphoric, and content. As a result, Taylor Swift’s songs are enjoyable to listen to.

Closing Thoughts

This analytical study aims to examine the top ten Taylor Swift songs streamed on Spotify from 2017 to 2021. Interestingly, the year 2018 stands out with the lowest stream numbers, primarily influenced by the American audience. To expand and target wider audiences, I suggest a follow-up analysis considering region, lyrics, and album. Consequently, the song recommendation for Taylor Swift will align with the preferences of the audience. For a comprehensive view of the data analysis and visualization code, kindly refer to my Kaggle profile linked here. Additionally, you can visit the post related to the code here.

If you be interested in collaboration related to data analytics and business strategy consultation, don’t hesitate to reach out via email. Your support is greatly appreciated – consider fueling my efforts by buying me a coffee here.

Let's connect
Passionate about Data Analytics, Entrepreneurship, and Business Strategy. Exploring the intersection of data-driven insights and innovative business decisions. B. Economics | MBA-Entrepreneurship | Data Analytics Certified | Analyst and Research Reach me at saraswatisepti@gmail.com or hai.ssaras@gmail.com

Leave a Reply

Your email address will not be published. Required fields are marked *

Back To Top
Translate »