Recent comments in /f/dataisbeautiful
ppitm t1_j97cv5m wrote
Reply to comment by UnluckyChain1417 in percent of medicare users with 4+ chronic medical conditions [OC] by RompingOtter
Poor and agricultural areas have more immigrants.
[deleted] t1_j97cin6 wrote
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nipnop4037 t1_j97c7y2 wrote
This isn't OC, this is a screenshot of from WaPo.
https://www.washingtonpost.com/business/2023/02/17/bad-southern-credit-scores/
Bocote t1_j97c5u5 wrote
I've been staring at this for a bit, but still have no clue what to take away.
Paralyzoid t1_j97byig wrote
Reply to comment by Strong-Middle6155 in percent of medicare users with 4+ chronic medical conditions [OC] by RompingOtter
Looks like the data source is from 2018.
drc500free t1_j97bs2u wrote
Fascinating because this doesn't exactly break down with any specific map trend I've seen. They often break down on political axes and the New York/Connecticut/New Jersey area looks very different from the south.
It looks like a combination of obesity and urbanization.
johnnyGotHisTabla t1_j97bpsl wrote
Reply to comment by bittersweetquartet in percent of medicare users with 4+ chronic medical conditions [OC] by RompingOtter
>Wyoming
Nah, /r/wyomingdoesntexist
KoeiNL t1_j97bo0d wrote
Reply to comment by theottozone in percent of medicare users with 4+ chronic medical conditions [OC] by RompingOtter
Your colouring should reflect the story you want to tell. What you are basically saying is that you are ok with a visualisation where red means good and green means bad as long as there is a scale/legend.
MrLagzy t1_j97begd wrote
Reply to [OC] Pie recipes clustered by ingredients by yourmamaman
Is this an unfinished jackson pollock painting?
LargeCharge87 t1_j97bdn6 wrote
Reply to [OC] Gendered Movie Favorites: The favorite movies of Letterboxd users broken down by the pronouns they selected for their account by throwbarrieaway
I’m calling BS on this. There’s no way that any Evangelion movie would be anyone’s favorite movie.
douglasg14b t1_j97b12u wrote
Reply to comment by TechnologicalDarkage in percent of medicare users with 4+ chronic medical conditions [OC] by RompingOtter
Obesity, crime, life expectancy, education, wealth, tobacco use, alcoholism, political ideology, religion...etc
pick your metric, and it probably correlates to "worst in the south east".
[deleted] t1_j97ay0y wrote
Reply to comment by columntolumn in percent of medicare users with 4+ chronic medical conditions [OC] by RompingOtter
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TecumsehSherman t1_j97avqy wrote
Reply to comment by douglasg14b in percent of medicare users with 4+ chronic medical conditions [OC] by RompingOtter
Yeah, I was just asking.
KezAzzamean t1_j97as4m wrote
Reply to [OC] Pie recipes clustered by ingredients by yourmamaman
I’m saving this post as an example of the worst data chart I’ve ever seen.
I have absolutely no fucking clue what is going on.
I don’t know why the dots are where they are. What direction means, if anything, on x y axis. I mean I have no idea at all. Is this art? Is it countries?
What the actual fuck.
douglasg14b t1_j97arls wrote
Reply to comment by TecumsehSherman in percent of medicare users with 4+ chronic medical conditions [OC] by RompingOtter
> Where is your data coming from?
And per your link, they are right? The south east does have lower life expectancy.
Gnemlock t1_j97aozv wrote
Reply to [OC] Pie recipes clustered by ingredients by yourmamaman
Not only is this indecipherable, but there's a whole bunch of the most common pies completely absent.
I thought OP meant 'desert pies', but there's one that isn't.. and why is it called 'pet chicken'? WTH?
bittersweetquartet t1_j97antu wrote
Big ups to, checks notes Wyoming?
Demonstratepatience t1_j97ahbb wrote
I bet this data correlates decently with obesity rates
[deleted] t1_j97a3v3 wrote
Reply to comment by 1714alpha in percent of medicare users with 4+ chronic medical conditions [OC] by RompingOtter
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kkngs t1_j97a3fw wrote
Reply to comment by Me_Melissa in percent of medicare users with 4+ chronic medical conditions [OC] by RompingOtter
You are correct. It’s not an appropriate use of diverging color scheme. It’s more appropriate if you were looking at something like “change in percent of four condition Medicare recipients between 2010 and 2020”. Then one color would show trending up and the other trending down.
Jo_Bar t1_j97a3fl wrote
Reply to comment by [deleted] in [OC] Gendered Movie Favorites: The favorite movies of Letterboxd users broken down by the pronouns they selected for their account by throwbarrieaway
Yeah, the sizes of the overlapping regions are very interesting. I would have thought the neopronoun group would evenly overlap with he and she groups. But they're significantly more overlapping with the he group. The he group even has more in common with the she group than the xe/zes.
I wouldn't read into this result though. It's probably more of a result of app usage demographics than gendered tastes.
idontwanttosaysorry t1_j979wcs wrote
So, places with lots of fat people have more health issues
vr0202 t1_j979lwd wrote
The color scale could well have been blue for low to red for high, which would have brought out the consequences of how people vote.
throwbarrieaway OP t1_j97cyio wrote
Reply to comment by LargeCharge87 in [OC] Gendered Movie Favorites: The favorite movies of Letterboxd users broken down by the pronouns they selected for their account by throwbarrieaway
I've never seen the movie or any part of the Evangelion franchise, but it's really highly regarded. The End of Evangelion has a 90% on Rotten Tomatoes based on 10 reviews, and is regularly listed as one of the best anime movies of all time. A lot of movie-adjacent people like it. Wes Anderson, for example, considered it one of the 10 best animated movies ever. On Letterboxd it's the 22nd highest rated movie and 6% of people that have watched it call it one of their favourite movies.