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Data is Beautiful
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65 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.
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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 1 year ago
MODERATORS
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10x cheaper than in 2010, and 40x-100x cheaper than in the 90s. It'll probably continue to decrease.
(i.postimg.cc)
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It's fascinating that while languages vary wildly by speaking speed, information transfer is fairly similar.
(lemmy.world)
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Number of False claims of "rigged election" or "election interference" by Trump before the last three presidential elections
(lemmy.blahaj.zone)
More like Data is Scary than Data is Beautiful.
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It's been trending this way for years, but seeing it graphed out like this is shocking.
What do you think are the effects of this drastic change?
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Link to website: https://whatif.sonycsl.it/15mincity/index.php
cross-posted from: https://slrpnk.net/post/13859498
I'll note that in the US, their urban area definition includes a lot of outlying and substantially unpopulated areas which fall within county boundaries; these areas tend to show up as having long travel times to services.
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The image is from a Washington Post article which took the data from an interesting research paper titled Who Pays For Your Rewards? Redistribution in the Credit Card Market.
The research paper is a good read. (A free PDF of the whole paper is available at the link.) It examines how the use of rewards credit cards results in a massive wealth transfer from low-credit-score customers to high-credit-score customers:
We estimate an aggregate annual redistribution of $15 billion from less to more educated, poorer to richer, and high to low minority areas, widening existing disparities.
The Washington Post article attempts to frame the clear north-south split as a result of healthcare issues in the south. That explanation seems too narrow to me. This map looks too similar to maps of poverty and education, and we know health correlates strongly with both of those issues.
Edit to fix a sentence fragment. Sorry; it was late and I was tired.
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Best of luck to Mozilla. Their line on the chart may end soon if they lose funding from Google.
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Stolen from Reddit.
The big drop in the 1970's was supposedly due to a change in the program to de-emphasize outdoor activities. The step down in 2019 was the LDS church cutting ties and starting their own program.
If you consider this as a proportion of the population it's an even bigger drop. In 1970 there were about 4.8M scouts in a population of 205M, so about 2.3% of all Americans were in Boy Scouts. Now it's 1M scouts in a population of 341M, so only 0.3% of Americans are in Boy Scouts.
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Binge alcohol use in the past month among persons aged 18-25 years in the U.S. from 2002 to 2022, by gender
(lemmy.world)
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