Final Project

Author

Stevie Wolf

Pop Culture Music Analysis

Growing up, I learned how important music is. It is a form of art that can emulate in a few words or notes how a person is feeling, whether it is sad, happy, heartbroken, or in love. All in all, music is a very universal thing that reaches so many people.

Questions

  • What time of the year of song releases have the most streams?

  • Out of female artists, male artists, and bands, who is the most popular?

Data

Spotify CSV

https://myxavier-my.sharepoint.com/:x:/g/personal/wolfs5_xavier_edu/EXghBMqdVA1Dk7Nbev7u02ABbu49ZA-sxGo90JAaZp2SjA?download=1)

The data used for this analysis is focused on Spotify, the music app. It looks at songs that were popular in 2023 along with many variables that help give a full circle view of each song. This CSV has 953 observations and 24 variables that include:

  • track_name - the name of the song

  • artist(s)_name - the names of all the artists in the song

  • artist_count - how many artists are in the song

  • released_year - the year the song was released

  • released_month - the month the song was released

  • released_day - the day of the month the song was released

  • in_spotify_playlists - how many times the song is in a playlist on spotify

  • in_spotify_charts - how many times the song is on the spotify charts

  • streams - number of times the song was streams in 2023

  • in_apple_playlists - how many times the song is in a playlist on apple

  • in_apple_charts - how many times the song is on the apple charts

  • in_deezer_playlists - how many times the song is in a playlist on deezer

  • in_deezer_charts - how many times the song is on deezer charts

  • in_shazam_charts - how many times the song is on shazam charts

  • bpm - beats per minute

  • key - key of the song

  • mode - mode of the song (major or minor)

  • danceability_% - percentage indicating how suitable a song is for dancing

  • valence_% - positivity of the music content

  • energy_% - energy level of the song

  • acousticness_% - amount of acoustic sound in the song

  • instrumentalness_% - amount of instrumental in the song

  • speechiness_% - amount of spoken word in the song

Running Code

Summary Statistics of the Data

Below is showing the statistics of stream data to get a better understanding of what we are working with.

# A tibble: 1 × 5
  mean_streams median_streams sd_streams min_streams max_streams
         <dbl>          <dbl>      <dbl>       <dbl>       <dbl>
1   513855968.      290228626 566625774.        2762  3703895074

Analysis:

Here we can see the that the average amount of streams is 513,855,968 with a spread of 566,625,774 as we can see with the standard deviation. This also shows us the range of streams to put the future analysis into perspective with the minimum streams in this data set is 2,762 and the maximum is 3,703,895,074. Additionally, we can see that at the middle of the pack is 290,228,626.

Question 1: How does time of the year affect streams of songs on Spotify?

First, I wanted to look at if streaming platforms like Spotify have increased the popularity of older songs.

Analysis

Through this visualization, it is clear that older songs aren’t streamed nearly as much as newer songs, however, it is interesting to see how far back Spotify has songs.

I also wanted to look at the month a song was released in and how It related to the most streams on average.

Analysis

Through this visualization, we can see that songs released on January have the most streams on average which logically makes sense as they have the entire year to collect streams. Outside of January, May has the second most streams on average.

Furthermore, I wanted to look at the day of the month that songs are released to see if that affects its streams.

Final Comparison by Looking at Emotional Sentiment

Rolling Stones CSV

https://myxavier-my.sharepoint.com/:x:/g/personal/wolfs5_xavier_edu/EQxT86YwicJDjRm5YSbP9DEBQVr80iltv_MbhbiCPsWQlw?download=1)

To put it all together, I wanted to look at the Rolling Stones reviews of the top three artists’ recent albums. I collected data that includes:

  • article_title -title of the article

  • artist - the artist(s) of the song

  • Date

  • Review

  • page_Id - link for the review

Analysis:

Here we can see that the reviews of each artist vary by emotional sentiment. Eminem has the highest score for negaitve and positive with negative being slightly higher. While Eminem is at the top for nearly all the words, Miley beats him out for anticipation. The words that are considered more negative are the ones that have high scores for Eminem as a whole.

Conclusion

In summary, songs released in Januray on the 1st day tend to be streamed a significant amount more than any other month and day. In terms of artist comparison, bands tend to be streamed more than male or female artists, but they are rated lower while female artists are streamed less with higher ratings.