Recent comments in /f/dataisbeautiful
[deleted] t1_j6t1xon wrote
Reply to [OC] This is what Latin America's $218B exports to China kind of look like by latinometrics
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[deleted] t1_j6t1w41 wrote
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Foxs-In-A-Trenchcoat t1_j6t14n7 wrote
Reply to Rivers of the World! coloured according to the major hydrological basins they are part of. [OC] by symmy546
Updoot for hydrological basins
[deleted] t1_j6t14mb wrote
Brief_Priority_2193 t1_j6t0q3s wrote
I think you deserve to take a break a little, maybe one week without a diet and then you will start again. You should definitely reward yourself
ceelo71 t1_j6syhfm wrote
Reply to comment by Square_Tea4916 in [OC] Manchester United Income and Expenses Breakdown of their 2022 Annual Report by Square_Tea4916
I understand that the Glazers stopped taking dividends in the second half of 2022 due to the optics, but I imagine they are still paying those out to shareholders. Interesting that a business that lost over £100 million still has the cash to pay investor dividends.
elpajaroquemamais t1_j6sxoch wrote
Reply to comment by siddus15 in [OC] Manchester United Income and Expenses Breakdown of their 2022 Annual Report by Square_Tea4916
Cool. Then make them all publicly owned.
Pruppelippelupp t1_j6sw70m wrote
Reply to [OC] This is what Latin America's $218B exports to China kind of look like by latinometrics
>Crustaceans
Damn, Ecuador
yellow_edge t1_j6svemf wrote
Reply to Rivers of the World! coloured according to the major hydrological basins they are part of. [OC] by symmy546
I'm always amazed at how close you can get to the Great Lakes and have water flow away from them.
[deleted] t1_j6stdaq wrote
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tirikai t1_j6ssyjg wrote
Reply to Rivers of the World! coloured according to the major hydrological basins they are part of. [OC] by symmy546
Technically NZ is on this map, but it was kind of left off this map
[deleted] t1_j6srexo wrote
Reply to comment by Buffdaddy9714 in [OC] Manchester United Income and Expenses Breakdown of their 2022 Annual Report by Square_Tea4916
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symmy546 OP t1_j6squ58 wrote
Reply to Rivers of the World! coloured according to the major hydrological basins they are part of. [OC] by symmy546
Feel free to follow the PythonMaps project on twitter - https://twitter.com/PythonMaps
The map was generated with matplotlib, numpy and geopandas.
Data comes from https://www.hydrosheds.org/ and K. Andreadis, G. Schumann, and T. Pavelsky, A simple global river bankfull width and depth database, Water Resour.Res., in review.
StumpyMcStump t1_j6sqdsz wrote
Reply to comment by Lens2Learn in Top fastest-growing jobs between 2021 and 2031 by kickresume
Yes. The number of open positions is going to increase from 1 to 2
Mydios t1_j6so5la wrote
Logarithmic y-axis kind of gives a skewed view here due to trying to include mutiple datasets. The total gdp dataset range dominates the military budget one making the military budget one not really expressing the differences between nations as well. e.g. India seems kind of close to USA here whilst in reality there PPP budget is still only 1/3rd of the US one
[deleted] t1_j6snlpm wrote
Reply to [OC] This is what Latin America's $218B exports to China kind of look like by latinometrics
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Square_Tea4916 OP t1_j6slr9p wrote
Reply to comment by ceelo71 in [OC] Manchester United Income and Expenses Breakdown of their 2022 Annual Report by Square_Tea4916
Didn’t include it actually. Typically I stop there cause it can get messy, but it’ll be right after Net Income in their Report.
Hascus t1_j6skm9h wrote
Reply to comment by siddus15 in [OC] Manchester United Income and Expenses Breakdown of their 2022 Annual Report by Square_Tea4916
Still better than a league with relegation for only some teams but other teams are permanently in
tommytornado t1_j6sijdo wrote
Where is the data from? Which territories, languages? What do the colours signify? What is a 'keyword' - most mentioned?
Specialist-Body2920 t1_j6sht3q wrote
Reply to comment by Lens2Learn in Top fastest-growing jobs between 2021 and 2031 by kickresume
Oops. It’s actually 1921-1931
BBOoff t1_j6sg7x3 wrote
Reply to comment by fiftycamelsworth in [OC] Military Expenditure adjusted for PPP by TotallyCalculated
Housing and feeding, yes (although the people in question are soldiers and their dependants). "Education" is pushing it. While there are some programs that encourage soldiers to get degrees before/during/after service, that can also cover a lot of very specific military training.
mrdimosthenis OP t1_j6sfxkb wrote
The data source is the papercliff API, the scripts that make the analysis are written in Clojure, the visualization makes use of the vis.js library, and the data are open. All these are available at https://github.com/papercliff
Also, there is the r/papercliff community, with more content.
Buffdaddy9714 t1_j6sfwd6 wrote
Reply to comment by [deleted] in [OC] Manchester United Income and Expenses Breakdown of their 2022 Annual Report by Square_Tea4916
I don’t understand can you explain more please?
latinometrics OP t1_j6se2rd wrote
Reply to [OC] This is what Latin America's $218B exports to China kind of look like by latinometrics
Source: oec.world
Tools: Excel, Rawgraphs, Affinity Designer
Unlikely_Champion193 t1_j6t4fzw wrote
Reply to [OC] Keywords identified in world news on Tuesday, January 31, 2023 by mrdimosthenis
I love what you have done with the orange one.