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

Data is Beautiful

5020 readers
10 users here now

A place to share and discuss visual representations of data: Graphs, charts, maps, etc.

DataIsBeautiful is for visualizations that effectively convey information. Aesthetics are an important part of information visualization, but pretty pictures are not the sole aim of this subreddit.

A place to share and discuss visual representations of data: Graphs, charts, maps, etc.

  A post must be (or contain) a qualifying data visualization.

  Directly link to the original source article of the visualization
    Original source article doesn't mean the original source image. Link to the full page of the source article as a link-type submission.
    If you made the visualization yourself, tag it as [OC]

  [OC] posts must state the data source(s) and tool(s) used in the first top-level comment on their submission.

  DO NOT claim "[OC]" for diagrams that are not yours.

  All diagrams must have at least one computer generated element.

  No reposts of popular posts within 1 month.

  Post titles must describe the data plainly without using sensationalized headlines. Clickbait posts will be removed.

  Posts involving American Politics, or contentious topics in American media, are permissible only on Thursdays (ET).

  Posts involving Personal Data are permissible only on Mondays (ET).

Please read through our FAQ if you are new to posting on DataIsBeautiful. Commenting Rules

Don't be intentionally rude, ever.

Comments should be constructive and related to the visual presented. Special attention is given to root-level comments.

Short comments and low effort replies are automatically removed.

Hate Speech and dogwhistling are not tolerated and will result in an immediate ban.

Personal attacks and rabble-rousing will be removed.

Moderators reserve discretion when issuing bans for inappropriate comments. Bans are also subject to you forfeiting all of your comments in this community.

Originally r/DataisBeautiful

founded 2 years ago
MODERATORS
 

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.

you are viewing a single comment's thread
view the rest of the comments
[โ€“] ganksy 6 points 8 months ago (1 children)

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.

[โ€“] Rolando 4 points 8 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.