Data Is Beautiful

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A place to share and discuss data visualizations. #dataviz


(under new moderation as of 2024-01, please let me know if there are any changes you want to see!)

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Dug up their survey for it out of curiosity, you can find their original post here https://hexbear.net/post/2226865

Interesting note on cis women https://hexbear.net/comment/4782033

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EDIT: for some context on the problems this creates

The science is clear that fast-growing chickens like the Ross 308 are doomed by their genetics. These have been engineered to grow so incredibly fast, and their bodies just cannot handle it.”

Jackson said secret filming at broiler farms supplying big supermarkets has shown birds struggling to walk or collapsing under their own weight, or dying from heart failure, and dead birds were filmed lying among the flocks.

[...]

Andrew Knight, a professor of animal welfare and ethics at the University of Winchester, said: “With these really rapid growth rates, it can be difficult for the heart and circulatory system to keep up with the expanding body mass. A proportion of these animals suffer from heart failure. It’s also difficult for the bones, ligaments and tendons to keep up with the rapidly increasing body mass, meaning that a proportion of these birds become severely lame [inability to walk properly].”

https://www.theguardian.com/world/2022/apr/16/cheaper-than-chips-frankenchicken-at-the-centre-of-fight-for-animal-welfare

And that quote only lists just some of the health problems they face. There's a ton of other problems too

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What to do, if you need to visualize a large network graph but all tools you try can only draw a hairball or eat all your RAM and hang…

Just wanted to share this article that I came across (tho it's from 2019).

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Most Common PIN Codes (informationisbeautiful.net)
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https://fivethirtyeight.com/features/science-isnt-broken/


Another study with the same goal of comparing the results from different research teams found similar disparities, though the graphs aren't quite as pretty.

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As you reduce the amount of carbon emissions (the y axis) the methods to keep reducing carbon cost more (the x axis.)

This great graph came to my attention from this video from vlogbrothers. It also has some good explanations of what it means.

Note that carbon capture doesn't really make sense till you've exhausted all the other emission minimizing methods.

Source: https://www.edf.org/revamped-cost-curve-reaching-net-zero-emissions

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Apologies. This might not be the perfect community for the post.

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Answering the age old question...

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New York Times managed this with eloquence.

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Total energy production sources and consumption by state
https://www.eia.gov/beta/states/overview
@dataisbeautiful

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submitted 10 months ago* (last edited 10 months ago) by LabPlot@floss.social to c/dataisbeautiful@lemmy.ml
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Using Zipf's Law to detect outliers in median age of European Countries in #LabPlot (2023 est.)

@dataisbeautiful

LabPlot ❤️ Data

➡️ https://en.wikipedia.org/wiki/Zipf%27s_law

#DataAnalysis #DataScience #Data #DataViz #Visualization #Plotting #Statistics #Age #Europe #FOSS #OpenSource

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