PatMyron
https://marketplace.visualstudio.com/search?target=VSCode, 33528 https://marketplace.visualstudio.com/search?target=VS, 11684 https://atom.io/packages, 9193 https://plugins.jetbrains.com, 6159 https://packagecontrol.io/stats, 5241 https://marketplace.eclipse.org --- https://www.bls.gov/emp/tables/fastest-growing-occupations.htm https://www.bls.gov/emp/tables/fastest-growing-occupations-alt.htm https://www.bls.gov/emp/tables/occupations-most-job-growth.htm https://www.bls.gov/ooh/most-new-jobs.htm https://www.visualcapitalist.com/the-20-fastest-growing-jobs-in-the-next-decade/ --- ``` shelter plumbing ~45% electricity ~90% heat internet ~66% laundry kitchen refrigerator ~75% dishwasher microwave oven stove ``` https://globaldatalab.org/areadata/ https://ourworldindata.org/energy-access --- - [ ] https://munstats.pa.gov/Reports/ReportInformation2.aspx?report=EitWithCollector_Dyn_Excel&type=R - [ ] https://www.point2homes.com/US/Neighborhood/PA/Upper-St-Clair-Demographics.html - [ ] https://www.aamc.org/data-reports/workforce/data/active-physicians-sex-and-specialty-2017 - [ ] https://www.census.gov/library/stories/2022/08/who-has-retirement-accounts.html - [ ] https://www.usnews.com/education/best-colleges/slideshows/colleges-with-the-highest-sat-scores?onepage - [ ] https://www.fun.com/best-selling-board-games-all-time.html - [ ] https://www.opensecrets.org/elections-overview/biggest-donors - [ ] gendered nouns in other languages - [ ] Github repo insights - [ ] most common diseases - [ ] certificate authority stats - [ ] [frequent accident intersections](https://roadway.report/) - [ ] Speed / size / frameworks of top websites - [ ] wikitable grapher - [ ] donor restricted percent endowments - [ ] top social media posts embedding - [ ] population-weighted minimum wage / tax rates - [ ] US history timeline ([states](https://www.visualcapitalist.com/cp/mapped-every-state-by-the-year-it-joined-the-u-s/), amendments, wars, presidents, land, etc) - [ ] https://en.wikipedia.org/wiki/List_of_largest_cities - [ ] [currency value ranges](https://en.wikipedia.org/wiki/Template:Most_traded_currencies): 🇺🇸🇪🇺🇬🇧🇦🇺🇨🇦🇨🇭🇸🇬🇳🇿🇧🇬 🇨🇳🇭🇰🇸🇪🇳🇴🇧🇷🇩🇰🇵🇱🇮🇱🇸🇦🇲🇾🇷🇴🇱🇾 🇲🇽🇹🇼🇿🇦🇹🇭🇨🇿🇹🇷🇧🇼 🇯🇵🇮🇳🇷🇺🇳🇵🇮🇸 🇰🇷🇨🇱🇦🇷🇳🇬 <details> <summary>$ per state</summary> https://www.followthemoney.org/ CA $30 TX $10 FL $8 NY $4.5 PA $15 IL $23 OH $7 GA $10 NC $23 MI $6 NJ $1 VA $1 WA $18 AZ $12 MA $13 TN $3.5 IN $9.5 MO $20 MD $1 </details> --- <img src="https://github.com/PatMyron/data/assets/7014355/9d9bf418-836f-4483-b0ba-50e665d4a2c8" height="150"></img> <details> <summary>code:</summary> ```python import matplotlib.pyplot as plt data = [33, 37, 96, 97, 114, 394, 673, 957, 902, 609, 524, 1012, 1202, 1465, 560, 600] x_values = [2009 + i for i in range(len(data))] x_values_with_asterisk = [str(x) if x != 2024 else '2024*' for x in x_values] plt.figure(figsize=(10, 6)) plt.plot(x_values, data, marker='o') plt.title('GWWC Lifetime 10% Pledges by Year') plt.xlabel('Year') plt.ylabel('Pledges') plt.xticks(ticks=x_values, labels=x_values_with_asterisk) plt.ylim(ymin=0) plt.grid(True, which='both', linestyle='--', linewidth=0.5, color='grey') plt.show() ``` </details> --- https://gs.statcounter.com/os-market-share#monthly-200901-202407 / https://gs.statcounter.com/os-market-share#quarterly-200901-202403 https://gs.statcounter.com/browser-market-share#monthly-200901-202407 / https://gs.statcounter.com/browser-market-share#quarterly-200901-202403 https://gs.statcounter.com/search-engine-market-share#monthly-200901-202407 / https://gs.statcounter.com/search-engine-market-share#quarterly-200901-202403 https://gs.statcounter.com/social-media-stats#monthly-200903-202407 / https://gs.statcounter.com/social-media-stats#quarterly-200903-202403