Recent comments in /f/dataisbeautiful
kridnack t1_j04dl74 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
Kind of weird California doesn’t have Waffle House. And this further proves my point that North Texas tries to hard to BE a little California.
svaerde t1_j04b1ix wrote
Reply to comment by weluckyfew in Tesla value as it relates to Twitter's purchase [OC] by datawazo
The EV market is projected to grow from 800k/yr in 2022 to 4.8 million EVs in 2030 (US only). Even if the market share halves that’s still 3x 2022 sales. At the moment there is a huge supply shortage for EVs. Not sure how it is in the US but 12-18 months is considered a normal delivery time for a KIA/VW/Mercedes EVs in Europe. The only company able to deliver is Tesla with 2-6 month delivery times. That is due to scale, supply chain efficiency and vertical integration. Then you also need to consider that other manufacturers are selling at cost/loss whilst Tesla has a 30% margin on its cars which is huge in the auto industry.
lastduckalive t1_j04aoca wrote
Reply to comment by greenlilly026 in [OC] geospatial distribution of different fast food chains in the USA (included some of your suggestions from my previous post) by MaverickJW
30 year old American from the west coast and I don’t think I’ve ever even seen a Waffle House.
[deleted] t1_j04akc8 wrote
Reply to comment by GreyerGardens in [OC] Geospatial density of the biggest fast food chains in the USA by MaverickJW
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sleeknub t1_j049lxd wrote
Reply to comment by weluckyfew in Tesla value as it relates to Twitter's purchase [OC] by datawazo
“Flailing” with Twitter? What flailing? And it’s not a national joke… where do you get that?
Tesla is doing absolutely fine when it comes to sales.
sleeknub t1_j0499if wrote
Reply to comment by anotheralpaca69 in Tesla value as it relates to Twitter's purchase [OC] by datawazo
No indication of one, as far as I can tell.
Cultadium t1_j0498a3 wrote
Reply to comment by sihtydaernacuoytihsy in Tesla value as it relates to Twitter's purchase [OC] by datawazo
Which is often enough to be super annoying!
_MadSuburbanDad_ t1_j048zcn 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
We had it in the 1970s when Jack in the Box expanded franchising eastward.
Didn't last.
TheeJackSparrow t1_j047epq wrote
Reply to comment by Bewaretheicespiders in Tesla value as it relates to Twitter's purchase [OC] by datawazo
Starting from the Twitter announcement on April 14 - the Nasdaq is down 16%. Tesla is down 51% for the same period. I'm going to have to boo your comment like when 18,000 people booed that dork hanging out with Chappelle the other night.
bergercreek t1_j046zia wrote
Reply to comment by kickme2 in Tesla value as it relates to Twitter's purchase [OC] by datawazo
More likely now, probably.
bergercreek t1_j046upd wrote
Reply to comment by weluckyfew in Tesla value as it relates to Twitter's purchase [OC] by datawazo
Yeah, dude. You really oughta get off reddit more.
anon-1 t1_j045iwv wrote
There were only two strikes?!
Spillz-2011 t1_j045i5p wrote
Reply to comment by kickme2 in Tesla value as it relates to Twitter's purchase [OC] by datawazo
What is 0/0? Then I can answer
Spillz-2011 t1_j045eih wrote
Reply to comment by Ponicrat in Tesla value as it relates to Twitter's purchase [OC] by datawazo
I mean he’s gutted the solar side. He just needed investors to bail out his tanking company
Spillz-2011 t1_j0458qd wrote
Reply to comment by Bewaretheicespiders in Tesla value as it relates to Twitter's purchase [OC] by datawazo
I mean yes if the nas fell 80% farther than it actually did.
[deleted] t1_j045231 wrote
Reply to comment by Bulky_Researcher226 in Tesla value as it relates to Twitter's purchase [OC] by datawazo
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HAV3L0ck t1_j044wbq 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
Interesting maps... and Interesting usage of "geospacial distribution" to mean maps.
Spillz-2011 t1_j043g6y wrote
Reply to comment by HeartbrokenFitNerd in Tesla value as it relates to Twitter's purchase [OC] by datawazo
Nah Tesla is down 52% ytd nas is down 29%
FeynmansMiniHands t1_j0432v5 wrote
Reply to [OC] Johnson & Johnson has HALF the net profit margin of Pfizer despite making almost $1bn more in net revenue by giteam
Am I wrong or does the net profit and tax not add up to the EBIT?
IndependentCharming7 t1_j042q4e wrote
Reply to comment by MaverickJW in [OC] geospatial distribution of different fast food chains in the USA (included some of your suggestions from my previous post) by MaverickJW
In that case great job on including Waffle House!
Rally's and Checker's has a Carl's Jr / Hardee's deal going on.
eric5014 t1_j0424r0 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 first thought "Oh, just another population map", but then realised these maps illustrate well that many chains are quite regional.
In my part of Australia, Subway and McDonalds are ubiquitous. Haven't seen any of the others except Carl's Jr just turned up last year.
eric5014 t1_j041cwn wrote
Reply to comment by the_bi_catgirl_blue in [OC] geospatial distribution of different fast food chains in the USA (included some of your suggestions from my previous post) by MaverickJW
I was thinking of this. I hope to resurrect my cartogram algorithm early next year, so you could plot points and see the prevalence of certain places relative to population. But then you'd have the opposite problem - sparsely inhabited areas will typically have more establishments per population than a metro area.
SendAstronomy t1_j040xfu wrote
The east coast is truly a wall of Subways from end to end.
X____________o t1_j040x50 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
We appreciate it
stu54 t1_j04e87y wrote
Reply to comment by sihtydaernacuoytihsy in Tesla value as it relates to Twitter's purchase [OC] by datawazo
The y axis is clearly labeled. Stretching the "interesting part" of a graph to fill the maximum space is the best practice.