It indeed appears that we're increasingly leaning towards more repetition, I suppose it's more appealing to our TikTok-conditioned minds.
It indeed appears that we're increasingly leaning towards more repetition, I suppose it's more appealing to our TikTok-conditioned minds.
The "Repetition of Popular Music, by Year" graph doesn't work for me. First it's empty, When I scroll past the graph and back, it seems to show data sometimes, but only when it's not in the viewport. As soon as I scroll it into view, it undraws the data and is blank again. I don't even have any blockers installed on this browser.
Beautiful for me = less shitty JavaScript that prevents me from seeing the graphs.
I would disagree with that to an extent for the distribution below "I excluded the 20 most repetitive songs in the dataset from the above chart. When you see what it looks like with them, you'll understand why". I had both distributions on screen so I could compare them, and was staring at them for a good while thinking I was missing something obvious. The animation that actually revealed the difference didn't start until I'd given up and scrolled the diagram most of the way off the screen. Had I scrolled a little faster to the next section (or possibly used page down/space), I would have missed the animation entirely.
Only now seeing your comment, I realised that there was an animation and now things make sense yes.
I think I had scroll at the image + the paragraph below and once I read the paragraph I decided to scroll quite quickly and either to completely new page or I was already focused on the table, because that did seem interesting information.
Thinking back now, it's weird how this one thing made me view the whole thing more skeptically, only to realise it was a miscommunication in a way.
Tik Tok directly influences the charts as well as video views are counted as streams. As a result, songs that are fun or funny to dance to for 20 seconds can quickly end up in the Top 10. Tik Tok also has had a significant indirect influence recently with songs and artists that go viral there finding mainstream success afterward, e.g. Lil Nas X, Doja Cat, and Dreams by Fleetwood Mac.
Maybe they mean 'reduced size %' == 'compression ratio' when they say size reduction, in which case why use both terms?
Absolutely. The visualizations in that song text really add value.
I wish I could use these kinds of visualizations on my programming language benchmarks analysis posts :D.
(Knowing JavaScript and HTML/SVG beforehand certainly won't hurt.)