Data is Beautiful

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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 1 year ago
MODERATORS
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submitted 4 days ago* (last edited 4 days ago) by [email protected] to c/[email protected]
 
 

Just randomly found in comments on imgur, might be old, but i think it is an example of actually beautiful data representation...

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Data source: Self-collected dataset of unprompted comments by other people about my dog while going on walks with him.

Tools: R+ggplot for exploratory data analysis and visualization.

This is my original work, and I have directly linked to my original blog post instead of making an image submission because I believe that the context of the post is important.

I am posting this on a Monday because I consider this post to contain Personal Data.

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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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Looks like there's some lying going on, lol

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Link to website: https://whatif.sonycsl.it/15mincity/index.php

cross-posted from: https://slrpnk.net/post/13859498

Related paper

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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FICO Scores In the US (sh.itjust.works)
submitted 1 month ago* (last edited 1 month ago) by [email protected] to c/[email protected]
 
 

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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submitted 1 month ago* (last edited 1 month ago) by [email protected] to c/[email protected]
 
 

Best of luck to Mozilla. Their line on the chart may end soon if they lose funding from Google.

Source: https://eylenburg.github.io/browser_engines.htm

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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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▶️ Total olympic medals won in Paris 2024 and Human Development Index 🏅

@dataisbeautiful

➡️ https://www.businesstimes.com.sg/opinion-features/what-olympic-medal-table-really-tells-us

After reading the article we made this #boxplot using #LabPlot, an open source data analysis and visualization software.

The plot doesn't provide answers, it rather invites some thinking.

#Olympics #Olympics2024 #France #China #USA #UnitedStates #UnitedKingdom #UK #Brazil #Australia #Japan #Italy #Canada #Germany #Italy #Netherlands #DataAnalysis #DataScience #OpenSource #FOSS

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▶️ Total olympic medals won in Paris 2024 and Human Development Index 🏅

@dataisbeautiful

➡️ https://www.businesstimes.com.sg/opinion-features/what-olympic-medal-table-really-tells-us

After reading the article we made this #boxplot using #LabPlot, an open source data analysis and visualization software.

The plot doesn't provide answers, it rather invites some thinking.

#Olympics #Olympics2024 #France #China #USA #UnitedStates #UnitedKingdom #UK #Brazil #Australia #Japan #Italy #Canada #Germany #Italy #Netherlands #DataAnalysis #DataScience #OpenSource #FOSS

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This chart has been floating around, and I find it interesting to speculate about the reason for this shift.

Have attitudes changed this much? Do teens have less independence or fewer places to go to do these things? Are parents more involved in teens' lives? Was vaping excluded in the study?

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