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Comment by data_8301 | Hacker News Reader

Hi, author of the post here. I thought it'd be nice to post some information about the analysis.

I got some audio features (loudness, energy and valence) for Linkin Park's songs using the Spotify API. In the post, I do an album-wise analysis of these features, and how they vary across and within the albums using the Python Data Analysis Library, Pandas.

I try to articulate the general progression in style through the average change in these features, as well as the change in variation of these features.

If you're a Linkin Park fan, I would love to know how your experience of listening to LP matches with my analysis :)

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Fun analysis! It's great that you visualize both mean and std deviation. Having them in two graphs side-by-side makes it a bit hard to read though, as you have to go back and forth.

Using for example a box-plot (https://pandas.pydata.org/pandas-docs/stable/visualization.h...) could show the mean/std in a more comprehensible way by having it in a single plot.

Thanks for the tip! Will keep that in mind going forward.

This is a very cool project! Would you be interested in performing the same analysis of Nine Inch Nail's discography? I am happy to chip in financially for such an analysis if the results would be open.

Excellent work! I'm not a Linkin Park fan although I listened a lot to their albums especially the two first ones. I slowly stopped listening when they released their subsequent albums which correlates with the "energy" loss your data analysis depicts!

Thanks! Same here, listened to the first two albums a lot. Had moved on to other genres by the time they released the other albums. When I tried to go back to LP, there were just too many albums to figure out which one to start with. But after doing this analysis, I feel like I should check out Hunting Party since its the closest to the first two albums.

Perceptual loudness or just some measure or the rms/foote/peakamp? It's proven that these kinds of audio descriptors are frought when trying to attribute them to any human perception.

There is also a "Loudness War" factor in any of popular modern recordings. The dynamic range standards are simply put terrible, despite studies claiming the importance and necessity of keeping the levels good enough.

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