Recent comments in /f/dataisbeautiful
[deleted] t1_j056kvr wrote
Reply to [OC] geospatial distribution of different fast food chains in the USA (included some of your suggestions from my previous post) by MaverickJW
I would not have guessed there are more Chik Fil As then Jack in the Boxes.
ChlorineQueen t1_j055sf8 wrote
Reply to comment by Thialase in Tesla value as it relates to Twitter's purchase [OC] by datawazo
Rich right wing people buy trucks
bnetimeslovesreddit t1_j054uqc wrote
First ceo of tesla leaves and elon hasn’t communicated tesla is in good hands to investors
jh937hfiu3hrhv9 t1_j054ew6 wrote
Reply to comment by treasureboy265 in Great article using data to show the rise in Covid misinformation on Twitter. If there was no groundswell of coordinated misinfo on Twitter, this chart would be full of disconnected dots. Data and graphs supplied by Timothy Graham of the Queensland University of Technology by pedrointas
Please describe real health. We all want to know.
nova9001 t1_j053pcn wrote
Reply to comment by weluckyfew in Tesla value as it relates to Twitter's purchase [OC] by datawazo
They are still dominant but losing market share because of all the new competition. In China, they used to be the no 1 EV seller but they are now no 2 and have to offer discounts to get their cars out the door. Not a good sign.
In US, Tesla is still very dominant and their 2 closest competitors, Ford and Hyundai far behind.
[deleted] t1_j053nnp wrote
Reply to comment by weluckyfew in Tesla value as it relates to Twitter's purchase [OC] by datawazo
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DigitalPriest t1_j0536p9 wrote
Reply to comment by G_Peccary in [OC] geospatial distribution of different fast food chains in the USA (included some of your suggestions from my previous post) by MaverickJW
Jack in the Crack absolutely sucks in Colorado. I shudder to imagine a place that considers themselves fortunate to have one. They're like.. just above McDonald's.
DigitalPriest t1_j052zxm wrote
Reply to comment by DraniKitty in [OC] geospatial distribution of different fast food chains in the USA (included some of your suggestions from my previous post) by MaverickJW
Somehow "Hardees: Fuck you, I'm eating!" just doesn't have the same ring to it.
[deleted] t1_j052zx4 wrote
nova9001 t1_j052ylf wrote
Reply to comment by Good_old_Marshmallow in Tesla value as it relates to Twitter's purchase [OC] by datawazo
Also spending most of his time at Twitter while Tesla is facing more competition.
treasureboy265 t1_j052n4s wrote
Reply to comment by jh937hfiu3hrhv9 in Great article using data to show the rise in Covid misinformation on Twitter. If there was no groundswell of coordinated misinfo on Twitter, this chart would be full of disconnected dots. Data and graphs supplied by Timothy Graham of the Queensland University of Technology by pedrointas
doctors are taught misinformation, the things that medical professionals do in the name of health is just wrong if you understand what real health is
[deleted] t1_j051tme wrote
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waffleslaw t1_j04zihb wrote
Reply to comment by lastduckalive in [OC] geospatial distribution of different fast food chains in the USA (included some of your suggestions from my previous post) by MaverickJW
Well if/when you go don't waste time on the waffles, they aren't that great. Get something off the griddle. My order is the patty melt and hash browns smothered, covered, and country!
Just typing this made me smell the inside of a waffles house. I haven't been in one in well over a decade.
cobrachickenwing t1_j04z9wp wrote
Reply to [OC] geospatial distribution of different fast food chains in the USA (included some of your suggestions from my previous post) by MaverickJW
You mean there is no major food franchise on unmanned oil rigs?
334578theo t1_j04z7xw wrote
Reply to comment by weluckyfew in Tesla value as it relates to Twitter's purchase [OC] by datawazo
Probably just me but everyone time I see someone driving a Tesla I roll my eyes. It’s the ultimate signal of being a bit of a muppet. Similar to wearing Balenciaga clothes.
Yep knew it was just me
[deleted] t1_j04z70j wrote
Reply to comment by Good_old_Marshmallow in Tesla value as it relates to Twitter's purchase [OC] by datawazo
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jh937hfiu3hrhv9 t1_j04xxu3 wrote
Reply to comment by treasureboy265 in Great article using data to show the rise in Covid misinformation on Twitter. If there was no groundswell of coordinated misinfo on Twitter, this chart would be full of disconnected dots. Data and graphs supplied by Timothy Graham of the Queensland University of Technology by pedrointas
Doctors not qualified to give medical advice? Should they have studied welding?
GodzillaTomatillo t1_j04xqsc wrote
Reply to comment by kickme2 in Tesla value as it relates to Twitter's purchase [OC] by datawazo
Even if I didn’t hate his politics, his absolute incompetence at Twitter has me not willing to go anywhere near a Tesla.
ToddHLaew t1_j04xios wrote
Reply to comment by Additional-Local8721 in Tesla value as it relates to Twitter's purchase [OC] by datawazo
Of course, I did my research. Plus my son gets a 15% discount on stocks since he works there. Tesla cars run on a 15% margin. All other EV car makers run at 7% or less. Tesla stock was overpriced, he even said so. The stock is currently driven down by his purchase of Twitter. This helps artificially drive the stock down.
stu54 t1_j04w60c wrote
Reply to comment by TywinASOIAF in Tesla value as it relates to Twitter's purchase [OC] by datawazo
If you don't look at the axis labels you are at fault for any misunderstanding.
Woooooolf t1_j04w0zl wrote
Reply to comment by G_Peccary in [OC] geospatial distribution of different fast food chains in the USA (included some of your suggestions from my previous post) by MaverickJW
What’s your go to? I’m lucky I’m in Charlotte
Woooooolf t1_j04vs4f wrote
Reply to [OC] geospatial distribution of different fast food chains in the USA (included some of your suggestions from my previous post) by MaverickJW
Subway has 24,000 stores? Holy shit.
Karnezar t1_j04vmi0 wrote
Even if Tesla came back, I don't think I'm getting my funds back. I'm down 14k now...
Woooooolf t1_j04viin wrote
Reply to comment by MacGumaraid in [OC] geospatial distribution of different fast food chains in the USA (included some of your suggestions from my previous post) by MaverickJW
No shit? What’s the addiction? The tacos? I’m in Charlotte
NOLA2Cincy t1_j056vr4 wrote
Reply to [OC] geospatial distribution of different fast food chains in the USA (included some of your suggestions from my previous post) by MaverickJW
Wendy's should be #4. They have almost 6,000 locations in the the US. Also Popeyes has 2885.
And where are Taco Bell and Burger King?
While this is an interesting visualization, it would be better with the top brands represented.