This dashboard showcases the current digital landscape of American music, exposing the impact of genres like Latin, Afrobeats, HipHop, and RnB.
Table of Contents:
Last updated: 2025-12-04
Question: How many women are in Billboard’s Top 25 Artist Charts?
There are 11 women in Billboard’s Top 25 Pop Stars. The bar chart shows the total count by gender, while the ranking scatterplot breaks down where each artist appears in the Top 25.
Together, the visuals confirm the same result: out of the Top 25 artists, 11 are women.The data clearly shows that women make up a significant and influential part of the music industry.
This data comes from Billboard.
| Total_Artists | Top_Artist | Last_Artist |
|---|---|---|
| 25 | Beyoncé | Katy Perry |
Question: What genres were the top songs of Summer 2025?
This bar chart shows the top 20 songs of the summer by September 6th. It shows the amount of songs that were in each genre. Some songs also fall into genres which is also represented in the bar chart. One can come to the conclusion that Pop, Country, and Hip-Hop/ R&B were the most popular song genres during the summer
Billboard Chart data was downloaded from Billboard.
Question: Which artists have the highest number of monthly listeners in the past year?
The chart displays the top 10 Spotify artists ranked by monthly listeners over the past year, providing a visual comparison of which performers hold the largest global audiences.
By converting listener counts to numerical values and organizing artists from highest to lowest, the chart highlights how significantly a few major artists—such as The Weeknd, Bruno Mars, and Taylor Swift—dominate streaming platforms with over 100 million monthly listeners each.
This visualization offers context into overall popularity rather than short-term momentum, showing which artists consistently attract the largest fanbases on Spotify. Although daily trend changes indicate whether an artist’s popularity is rising or falling, this chart specifically focuses on long-term audience size, helping identify the most listened-to artists in the past year.
This data was sourced from Spotify.
Question What relationships exist between danceability and characteristics such as energy, duration, and popularity?
The danceability and artist popularity plot doesn’t really show any strong or clear relationship. The points are all over the place, with no real upward or downward trend showing up. This would suggest that how danceable a song is doesn’t strongly depend on how popular the artist is.
The duration of a song also does not seem to have a strong connection to danceability.The points are fairly spread out, with no pattern indicating that longer or shorter songs would always be more or less danceable.
Compared to the other plots, the Energy vs. Danceability plot shows a slightly clearer pattern. Based on this graph, it seems that there might be a rather weak positive relationship. We can see that songs that have higher energy tend to have somewhat higher danceability scores.
This data came from Kaggle.
Question How do Popular Latin, Afrobeats, & R&B Artists Perform in the Charts?
This chart compares the Billboard Hot 100 performance of Bad Bunny (Latin), Beyoncé (R&B/Pop), and Burna Boy (Afrobeats). Their trends reflect the rise of global genres in the U.S. market.
Bad Bunny shows consistent chart presence, Beyoncé peaks with major releases, and Burna Boy illustrates the growing impact of Afrobeats on the Billboard charts.
Billboard Chart data was downloaded from Kaggle.
Women remain central in popular music, representing a significant share of Billboard’s Top 25 artists and highlighting strong gender representation in mainstream pop culture.
Summer genre trends show Pop, R&B, and Country leading seasonal popularity, revealing how listener preferences shift during high-engagement months.
Streaming data confirms the dominance of a small group of global superstars, with artists maintaining consistently high monthly listener counts on platforms like Spotify.
Musical characteristics such as energy show only weak relationships to danceability, suggesting that viral success depends on more than just technical song features.
Rising genres—including Latin, Afrobeats, and R&B—are increasingly shaping the U.S. charts, reflecting a growing influence of global sounds in American music.
Allaire J, Dervieux C (2024). quarto: R Interface to ‘Quarto’ Markdown Publishing System.
R package version 1.4.4, https://CRAN.R-project.org/package=quarto.
Bache S, Wickham H (2025). magrittr: A Forward-Pipe Operator for R.
R package version 2.0.4, https://CRAN.R-project.org/package=magrittr.
Kunst J (2022). highcharter: A Wrapper for the ‘Highcharts’ Library.
R package version 0.9.4, https://CRAN.R-project.org/package=highcharter.
Neuwirth E (2022). RColorBrewer: ColorBrewer Palettes.
R package version 1.1-3, https://CRAN.R-project.org/package=RColorBrewer.
R Core Team (2025). R: A Language and Environment for Statistical Computing.
R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.
Rinker T, Kurkiewicz D (2017). pacman: Package Management for R.
Version 0.5.0, https://github.com/trinker/pacman.
Wickham H et al. (2019). “Welcome to the tidyverse.” Journal of Open Source Software, 4(43), 1686.
https://doi.org/10.21105/joss.01686.
Wickham H, François R, Henry L, Müller K (2023). dplyr: A Grammar of Data Manipulation.
https://CRAN.R-project.org/package=dplyr.
Müller K, Wickham H (2023). tibble: Simple Data Frames.
https://CRAN.R-project.org/package=tibble.
Wickham H (2023). ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics.
https://CRAN.R-project.org/package=ggplot2.
Wickham H, Seidel D (2024). rvest: Easily Harvest (Scrape) Web Pages.
https://CRAN.R-project.org/package=rvest.
Grolemund G, Wickham H (2011). lubridate: Make Dealing with Dates a Little Easier.
https://CRAN.R-project.org/package=lubridate.
Zhu H (2024). kableExtra: Construct Complex Table with ‘kable’ and Pipe Syntax.
https://github.com/haozhu233/kableExtra.
Xie Y (2025). knitr: A General-Purpose Package for Dynamic Report Generation in R.
https://yihui.org/knitr/.