/r/dataisugly
Where data goes to die.
Welcome to Data Is Ugly, a sub all about butchered visualizations, misleading charts and unlabelled axes. If you've found a particularly useless/ugly/unreadable dataviz or infographic, and struggled to find someone who will listen to your complaints, then rejoice, for you are home!
0. Obviously this should go without saying, but this is a place for data visualizations.
1. Please do not submit charts and graphics intentionally drawn poorly for the sake of parody. Go to /r/data_irl for that.
2. Submissions must actually have something wrong with the presentation. If it's not apparent what's wrong with your graph, try to explain what's happening—in either the title, post flair, or a comment—so we can all join in.
3. This isn't the place to bitch about the latest OC in /r/dataisbeautiful. (Non-OC by professionals is an exception.) You have the comments section of the /r/dataisbeautiful post for that, go there instead. This is not a space to mock the disabled.
4. Avoid brigading of popular subreddits. It's against Reddiquette and could possibly get us in trouble. CROSSPOST GOOD. BRIGADING BAD.
5. No reposts of popular graphics within 30 days. Check the top 25 posts of the month to see if it's been posted before.
6. Not a requirement, but post titles are encouraged to be as fun and sensationalized as possible.
/r/dataisugly
“These numbers are based on economic projections for a decade from now, which are loose at best”
Although, in some fairness, on the source website one can click on a sliver to see the labels, but that still involves a lot of clicking around like a memory game.
I still don’t know who is educated and not
Someone dropped their colored spaghetti.