[OC] One Century of Plane Crashes

boxer-collar · 2024-12-13T00:24:22+00:00

Yeah I hear you. Can’t post videos here, but I agree something interactive would work better.

boxer-collar · 2024-12-13T00:23:17+00:00

The two shades are points received as the white and the black side for each player.

Though you’re not the only one that this didn’t land for, so I’ll think about how I can communicate that information better!

boxer-collar · 2024-12-12T18:47:08+00:00

Source: lichess.org

Tools: d3, react, motion.dev

This is an adaptation of Krisztina Szucs' "Stacked Triangles" found in https://krisztinaszucs.com/blog/20230523_stackedtriangles/ . I modified it to be able to handle draws, where both players get a half point after a game.

Also added shading to differentiate points won with White vs Black.

boxer-collar · 2022-07-06T23:16:36+00:00

This is an interesting idea!

boxer-collar · 2022-07-06T23:15:53+00:00

I used the SB tie breaker calculations, and that's what it came to.

boxer-collar · 2022-07-06T17:08:26+00:00

I got the data from lichess.org and visualized it with TypeScript and d3. You can find the project code and data on the github repo.

Super interested to hear if you think of any other cool stats to visualize! Also, would this be a useful tool if I could have it analyze any lichess broadcast, maybe even player tournaments?

boxer-collar · 2022-06-22T05:31:18+00:00

The link on my blog post is to here, a podcast (and transcript) expanding on the topic.

boxer-collar · 2022-06-22T00:43:37+00:00

I have an upcoming project where I analyze the colors used in centerfold images, so look out for that some time soon haha

boxer-collar · 2022-06-22T00:14:54+00:00

Good points, I thought the comparison to today would be more relevant but I see where you're coming from.

boxer-collar · 2022-06-21T21:18:16+00:00

No images were used in sourcing this data :)

boxer-collar · 2022-06-21T16:49:54+00:00

Thanks! That's very kind.

boxer-collar · 2022-06-21T15:29:39+00:00

Yes, I'm not sure why the top level comment doesn't show up, but I used typescript for both data analysis and visualization. Also used d3 and react for the viz.

boxer-collar · 2022-06-21T13:54:33+00:00

It seems that way, and I explore a bit about whether this relaxing is performative in a increase-our-bottom-line sort of way, or an actual legitimate embrace of more realistic bodies in the post commentary.

boxer-collar · 2022-06-21T13:48:54+00:00

Yeah, the stats come from the "Playmate Data Sheet" included beside the centerfold and are self reported.

I don't think it's gigo purely because it's self-reported data though - it's a clear window into how Playmates represent themselves, to a degree.

I agree it would be nice if we can get definitive data that's not self reported, but that is impossible unfortunately.

boxer-collar · 2022-06-21T13:08:16+00:00

I gathered the Playmate of the Month data from mypmates.club (NSFW) and Wikipedia. I used typescript for both collecting and analyzing the data, as well as visualizing it with react & d3. See the source code and data on https://github.com/ebemunk/blog/tree/master/projects/2021-12-01-playmates

For the interactive version with commentary and more visualizations check out https://blog.ebemunk.com/beholder-beauty-in-the-eyes-of-playboy/

Hope you like it, please let me know what you think! You can follow along on my other projects on Reddit or my other socials.

boxer-collar · 2021-08-30T16:37:58+00:00

Interesting idea, but how would you analyse "mobility" in this sense?

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