ideas #20
Description
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
- 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, amendments, wars, presidents, land, etc)
- https://en.wikipedia.org/wiki/List_of_largest_cities
- currency value ranges:
🇺🇸🇪🇺🇬🇧🇦🇺🇨🇦🇨🇭🇸🇬🇳🇿🇧🇬
🇨🇳🇭🇰🇸🇪🇳🇴🇧🇷🇩🇰🇵🇱🇮🇱🇸🇦🇲🇾🇷🇴🇱🇾
🇲🇽🇹🇼🇿🇦🇹🇭🇨🇿🇹🇷🇧🇼
🇯🇵🇮🇳🇷🇺🇳🇵🇮🇸
🇰🇷🇨🇱🇦🇷🇳🇬
$ per state
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
code:
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()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