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cross-posted from: https://lemmit.online/post/2699112

This is an automated archive made by the Lemmit Bot.

The original was posted on /r/dataisbeautiful by /u/JPAnalyst on 2024-04-18 15:16:16.

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[-] Beetschnapps@lemmy.world 39 points 4 months ago

The data is not beautiful.

The data is mired by shitty photoshop textures and false antiquing.

[-] Rolando@lemmy.world 15 points 4 months ago

Also not sure what it gained by being a bar graph, when a simple table would have done just as well and been more compact.

[-] BluesF@lemmy.world 4 points 3 months ago

It would be even better presented as a matrix or similar so we can see which news sources overlap on a single juror.

[-] TheRedSpade@lemmy.world 8 points 4 months ago

News from TikTok? What the actual fuck?

[-] RvTV95XBeo@sh.itjust.works 5 points 4 months ago

In case you were wondering why people care so much about who owns TikTok

[-] Donjuanme@lemmy.world 8 points 4 months ago

People in New York read the new York times? Shocked, absolutely flabbergasted I will sarcastically claim to be.

[-] ganksy@lemmy.world 6 points 4 months ago

At first glance it would seem like lots of NYT readers would be bad news for Trump but there's also some moron who reads the Daily Mail and the NY Post. Could be hung jury.

[-] Rolando@lemmy.world 4 points 3 months ago

This visualization would be better if it showed, for each juror, what their data sources were.

Clearly there are some jurors who have more than 1 news source. But it's not clear what the distribution is. It's possible that the NY Post / Daily Mail / X-Twitter / TikTok news reader is one person. Or it's possible that each NY Times reader is reading one of those sources "to see the other side."

A better visualization would be a table with each row being a news source and each column being a juror. Each cell of the table would be checked if the juror used that news source.

[-] visnae@lemmy.world 5 points 3 months ago

That one Juror that is watching all of them should really be up to date on the subject. 🤣

this post was submitted on 18 Apr 2024
34 points (75.0% liked)

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