MGM Label Data Analysis
By:Jonah Srulevich, Michaela Fry, Oliver Loewengart, Elijah Elster, Eoghan Daly, Jack Cavanagh
Date: 2023-12-12
What artists, genres, and styles of music will increase MGM’s gross music listening and thereby, sales?
Top Artists by Frequency on Spotify Top 50 Global Chart
Spotify’s Top 50 Global Song chart in 2020 is displayed here.
Travis Scott and Doja Catt have the largest volume of hits in the global top 50.
How will this compare to number 1 hits by country?
Number of Top 50 Songs by Artist per Continent
Countries with DaBaby as Artist With Top Song
Countries with BadBunny as Artist With Top Song
Countries with TheWeeknd as Artist With Top Song
Top 6 Artists by Geolocation 2020
What are the optimal values for each technical music element of a song by genre? What specific elements are most important to success?
Average Values for Relevant Variables in Spotify 2023 dataset
Average Values for Relevant Variables in Hot 100 dataset
Radar Plot of Hot 100 Song Variables
Calculating Weighted Averages
[1] 41.23555Weighted Average for danceability: 0.6151191 Weighted Average for valence: 0.5733629 Weighted Average for acousticness: 0.2482113 Weighted Average for energy: 0.6370948 Weighted Average for liveness: 0.1857829 Weighted Average for speechiness: 0.08313874 Radar Plot of Hot 100 Weighted Averages
Weighted Average for danceability: 65.28485 Weighted Average for valence: 50.35057 Weighted Average for acousticness: 26.95035 Weighted Average for energy: 63.79905 Weighted Average for liveness: 17.48395 Weighted Average for speechiness: 8.911907 Model Showing these variables effect on spotify track popularity
Call:
lm(formula = spotify_track_popularity ~ danceability + valence +
acousticness + energy + liveness + speechiness, data = Hot100filtered)
Residuals:
Min 1Q Median 3Q Max
-68.481 -15.043 0.207 14.593 73.841
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 36.6717 0.8396 43.676 <0.0000000000000002 ***
danceability 29.9664 0.9950 30.118 <0.0000000000000002 ***
valence -34.6758 0.6310 -54.957 <0.0000000000000002 ***
acousticness -13.6588 0.5898 -23.158 <0.0000000000000002 ***
energy 17.6033 0.8615 20.432 <0.0000000000000002 ***
liveness -7.8490 0.8232 -9.535 <0.0000000000000002 ***
speechiness 28.5932 1.6220 17.628 <0.0000000000000002 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 19.81 on 24323 degrees of freedom
Multiple R-squared: 0.223, Adjusted R-squared: 0.2228
F-statistic: 1163 on 6 and 24323 DF, p-value: < 0.00000000000000022
Call:
lm(formula = percentrank ~ danceability_. + valence_. + acousticness_. +
energy_. + liveness_. + speechiness_., data = Spotify2023_w_per)
Residuals:
Min 1Q Median 3Q Max
-0.57639 -0.24154 0.00771 0.24394 0.61452
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.7694026 0.0704776 10.917 < 0.0000000000000002 ***
danceability_. -0.0017713 0.0007302 -2.426 0.015465 *
valence_. 0.0002610 0.0004684 0.557 0.577509
acousticness_. -0.0011444 0.0004546 -2.517 0.011990 *
energy_. -0.0012116 0.0007479 -1.620 0.105557
liveness_. -0.0012121 0.0006833 -1.774 0.076411 .
speechiness_. -0.0032265 0.0009511 -3.392 0.000722 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Residual standard error: 0.2855 on 945 degrees of freedom
Multiple R-squared: 0.02916, Adjusted R-squared: 0.023
F-statistic: 4.731 on 6 and 945 DF, p-value: 0.00009292Song Atttributes Over Time 1
How do the song attributes correlate to the time of year it was released?
Spotify’s 2023 Song chart is displayed here.
Danceability rises in hotter months and falls in the winter.
Energy alternates every quarter.
Song Atttributes Over Time 2
BPM is higher from past years. In recent years, peaks in months leading up to summer.
Acousticnesss has his lowest points during the fall season.
Spotify Stock Price Today:
Music Preferences Shift With Seasons
Monthly Total Song Streams
***
Visualizations of monthly song statistics from the spotify-2023.csv dataset.
Based on the total number of streams per month from the Spotify 2023 Dataset, it initially appeared January was the best time to release a song as it had the highest streams. However, after taking the average number of streams per song by month, it appeared there was no correlation between release month and popularity.
Is there an ideal time and genre to release a song to maximize its popularity?
Spotify Song Genre Popularity
The top 3 most popular song genres in 2023 are Pop, R&B, and Reggae. Genres were determined through data scraping from multiple music databases.
Song Length Per Year
How has the duration of popular songs changed over the years?
Max song duration of top 30 popular songs dropped from 308 seconds in 2010 to 261 in 2019. Average song duration shows a steady decline over the years 2010-2019.
Songs Under 3 Minutes
| YEAR | COUNT |
|---|---|
| 2010 | 0 |
| 2011 | 0 |
| 2012 | 1 |
| 2013 | 1 |
| 2014 | 3 |
| 2015 | 0 |
| 2016 | 1 |
| 2017 | 0 |
| 2018 | 1 |
| 2019 | 6 |
How many songs in the top 30 popular songs each year are under 3 minutes?
The 9 year span from 2010-2018 had 7 songs in the top 30 under 3 minutes. In 2019 alone their were 6 songs in the top 30 under 3 minutes. That was a 700% increase from the previous year.
Citations
Chosic. “Music Genre Finder.” Chosic, n.d., https://www.chosic.com/music-genre-finder/.
Pebesma, E., & Bivand, R. (2023). Spatial Data Science: With Applications in R. Chapman and Hall/CRC. https://doi.org/10.1201/9780429459016
R Core Team (2023). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.
Posit team (2023). RStudio: Integrated Development Environment for R. Posit Software, PBC, Boston, MA. URL http://www.posit.co/.
lowikowski K (2023). ggrepel: Automatically Position Non-Overlapping Text Labels with ‘ggplot2’. R package version 0.9.4, https://CRAN.R-project.org/package=ggrepel.
Garrett Grolemund, Hadley Wickham (2011). Dates and Times Made Easy with lubridate. Journal of Statistical Software, 40(3), 1-25. URL https://www.jstatsoft.org/v40/i03/.
Massicotte P, South A (2023). rnaturalearth: World Map Data from Natural Earth. R package version 0.3.4, https://CRAN.R-project.org/package=rnaturalearth.
South A (2017). _rnaturalearthdata: World Vector Map Data from Natural Earth Used in‘rnaturalearth’_. R package version 0.1.0, https://CRAN.R-project.org/package=rnaturalearthdata.
Wickham H, Averick M, Bryan J, Chang W, McGowan LD, François R, Grolemund G, Hayes A, Henry L, Hester J, Kuhn M, Pedersen TL, Miller E, Bache SM, Müller K, Ooms J, Robinson D, Seidel DP, Spinu V, Takahashi K, Vaughan D, Wilke C, Woo K, Yutani H (2019). “Welcome to the tidyverse.” Journal of Open Source Software, 4(43), 1686. doi:10.21105/joss.01686 https://doi.org/10.21105/joss.01686.