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2 Kommentare
Data Source: Billboard Hot 100 Historical Data (via utdata/rwd-billboard-data) combined with custom API extractions from MusicBrainz and TheAudioDB for granular genre and artist metadata.
Tools: R (tidyverse, patchwork, ggridges, ggstream) for all data processing and visualization.
I wanted to see how pop culture actually shifts visually, rather than just looking at lists. It took a massive pipeline to clean the genres and map the lifespans of these tracks.
If you want to see the full high-res 7-decade infographic stitched together, or poke around my R code and data pipeline, I’ve open-sourced the whole project on GitHub here: [Evolution of Mainstream Music: Billboard Hot 100](https://github.com/armin-talic/Evolution-of-Mainstream-Music-Billboard-Hot-100)
This is fascinating data, but the visualizations are super hard to follow. Why wouldn’t you keep the same colors for genres? Even if you’re trying to make the color schemes decade-appropriate, you should keep to the same colors family for a single genre across the decades (and DEFINITELY within a single decade).
Even better if you color-coded the top bands with those same colors, though that’s more difficult given that a band could have songs in multiple genres.
Cool to see, though!