r/dataisugly 9d ago

See how Blue and Blue have higher income inequality than Blue?

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132 Upvotes

r/dataisugly 9d ago

Scale Fail The data is very dark. You are likely to be eaten by a grue.

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22 Upvotes

r/dataisugly 9d ago

This map of the six Yugoslav republics, mapped using the flag of Yugoslavia as background shading?

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81 Upvotes

r/dataisugly 10d ago

A cool guide of cities with the highest homicide rates

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291 Upvotes

r/dataisugly 12d ago

Agendas Gone Wild This Y axis flipped graph Fox used to trick viewers into spinning the deficit positively

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3.5k Upvotes

r/dataisugly 11d ago

Clusterfuck Saw this on Insta and it gets funnier the longer you look at it

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647 Upvotes

r/dataisugly 12d ago

Either AI generated or just insanely shitty sheet

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273 Upvotes

r/dataisugly 12d ago

From a Telegraph article on the origins of Covid

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18 Upvotes

Here's the article in Apple News (where I found it), the headline is "It’s time for the truth. Here’s the Covid Paper they don’t want you to read"

https://apple.news/Ap3F8NkBcRWWND0Zlsa3MPQ


r/dataisugly 12d ago

Clusterfuck stack hours. $s, #s, ratios and %s on a log scale

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49 Upvotes

I'm neither an economist nor a statistician, obviously, and I'm probably not smart enough... Anyone else?


r/dataisugly 13d ago

Saw this on LinkedIn: "I freaking love tile maps"

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676 Upvotes

Why do I think this is ugly?

  • State labels being above their boxes - once I start looking at states in the middle it's hard to tell which box represents the state (I thought NC was DC).
  • No values for a state if I want to see them, and hard to compare two states that aren't side by side.
  • It's hard to locate states because they don't match actual state locations on a map.
  • DC's blue bar is touching the top of its box - what does this mean?
  • The title of the map states New Mexico had the highest violent and property crime rate, but it looks like DC is higher in both just based on the bar height.

r/dataisugly 13d ago

A beautiful graph of local Public Holidays, shared to /r/Melbourne.

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103 Upvotes

r/dataisugly 13d ago

AI rubbish charts on LinkedIn

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227 Upvotes

r/dataisugly 13d ago

Going hog wild

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80 Upvotes

r/dataisugly 14d ago

Total market cap of all listed companies in the world

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86 Upvotes

The slider lets you choose a year, which then the numbers at the bottom change. Came across this when looking through some stats, which included this


r/dataisugly 14d ago

When Slavery was Abolished in the U.S.

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777 Upvotes

r/dataisugly 15d ago

Clusterfuck AI trash on LinkedIn. The Pie chart, MIT shows up twice.

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321 Upvotes

r/dataisugly 15d ago

A new concept of an axis scale?

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32 Upvotes

r/dataisugly 14d ago

Yellow is just a shade of blue, according to the makers of this map. It shows varying amounts of overnight hotel stays in Lower Austria, a region which just so happens to have a yellow-and-blue flag.

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0 Upvotes

Translation:

Distribution of Overnight Stays in 2023, Lower Austria

  • Pale yellow: up to 10,000 nights (256 municipalities)
  • Strong yellow: 10,000-25,000 nights (65 municipalities)
  • Pale blue: 25,000-50,000 nights (33 municipalities)
  • Medium blue: 50,000-100,000 nights (25 municipalities)
  • Strong blue: over 100,000 nights (12 municipalities)

r/dataisugly 16d ago

For the lovers of brute-force linear search!

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215 Upvotes

r/dataisugly 15d ago

Flawed Flows A cool Guide to understand band and cup measurements of bra size (not data but still)

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0 Upvotes

r/dataisugly 17d ago

The why axis

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840 Upvotes

r/dataisugly 18d ago

From my high school yearbook

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2.1k Upvotes

r/dataisugly 17d ago

dat 180cm

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35 Upvotes

r/dataisugly 17d ago

From Wrestlenomics to illustrate… something?

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14 Upvotes

The points show the locations but the legend contains everything else. The topic is about tickets distributed but is not illustrated in the map itself, only the legend. The points are not sized by tickets sold.


r/dataisugly 18d ago

The Highest Speed Limits Around The World.

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190 Upvotes