CharcoalCharts
CharcoalCharts OP t1_j4gj8dy wrote
Data: kontur.io
Tools: R (Special shoutout to tylermorganwall for rayshader and rayrender.)
NB: I am aware of the absurdity inherited from reporting this level of precision.
CharcoalCharts OP t1_j3hwu47 wrote
CharcoalCharts OP t1_j3fzzp3 wrote
Reply to Box Office Revenue [OC] by CharcoalCharts
Data: https://www.boxofficemojo.com/ + https://www.officialdata.org/us/inflation/
Tools: R
CharcoalCharts OP t1_j155re6 wrote
Data: scriptslug.com. Tools: R
Note: This simply displays a sample of top Christmas movies.
CharcoalCharts OP t1_iz7lo6q wrote
Data: Foursquare. Tools: R, Leaflet.
I made a similar analysis with Yelp data. The stories rhyme, but Foursquare has a wider global reach. https://www.reddit.com/r/dataisbeautiful/comments/zbdu4i/global_cuisine_according_to_yelp_oc/
CharcoalCharts OP t1_iys6la5 wrote
Reply to comment by pigeonsmasher in Global Cuisine - According To Yelp [OC] by CharcoalCharts
There might be better terms for those metrics.
Skewed means the area is over-represented in a few categories and under-represented in others. Sao Paulo has a lot of restaurants but 75% are either Brazilian, Japanese, or Italian. And it has only 39 categories (roughly half of New York).
Efficient is the opposite. Bridgeport does not have a ton of restaurants, but it covers a lot of categories.
CharcoalCharts OP t1_iyqj069 wrote
Data: Yelp. Tools: R, Leaflet
CharcoalCharts OP t1_ixbcpx6 wrote
Reply to comment by CharcoalCharts in Airports Sorted by Locations Reached in Two Hops [OC] by CharcoalCharts
You can (pretty much) get everywhere in the world in 4 hops.
CharcoalCharts OP t1_ixbcfih wrote
Data: airlabs.co
Tools: R
CharcoalCharts OP t1_iroqqe5 wrote
The data is from Google Maps API. That is also the tool used. All images are the same zoom level.
% = (colored area)/(total area - black area)
CharcoalCharts OP t1_iqw3pkw wrote
Reply to comment by nevilleaga in How Far Are You From The Ocean? [OC] by CharcoalCharts
You are correct. https://imgur.com/a/xFLGHqp
The longest distances are roughly 5-6% of the way around the earth. As seen in the animation.
CharcoalCharts OP t1_iqsrkn4 wrote
Reply to How Far Are You From The Ocean? [OC] by CharcoalCharts
Tools: R. Data: R package datasets (World Bank, Coastline)
It is interesting that the distribution is multimodal. Obviously, the most common position is close to the coast, but there are a few other humps. This animation shows 500 cities, but it holds similar for a larger set: https://imgur.com/a/8APH6Zd
CharcoalCharts OP t1_j4gt2le wrote
Reply to comment by Lolleka in American Universities Ranked From Countryside To Metropolitan [OC] by CharcoalCharts
It is about population density. In the US most colleges have school colors related to sports. They are also grouped into conferences and divisions because of sports. Football is related to population density because you need a lot of fans and a lot of land.