patmyron / data

Tech Pay

Billionaire Age

Company Data

data's Issues

automate screenshots

will push to another branch with something like https://github.com/peter-evans/create-pull-request/

Online Matplotlib Compilers:
https://www.tutorialspoint.com/execute_matplotlib_online.php
https://python-fiddle.com/examples/matplotlib

---

be mindful of networking:

data/corporate-travel/main.py

Line 113 in 36d7dec

response = requests.get("https://www.businesstravelnews.com/Corporate-Travel-100/2018/" + re.sub('\s*&\s*', '-', line).replace(' ', '-').replace('.', '').replace('Intel', 'Intel1')).text

ideas

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
• Github repo insights
• frequent accident intersections
• Speed / size / frameworks of top websites
• wikitable grapher
• donor restricted percent endowments
• top social media posts embedding

$ 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

watermark content

ideally bottom corner

Graph sales-per-store

reconsider matplotlib

plotly?

Online Matplotlib Compilers:
https://www.tutorialspoint.com/execute_matplotlib_online.php
https://python-fiddle.com/examples/matplotlib

 8 plt.plot
 6 plt.xlabel
 6 plt.show
 4 plt.ylabel
 4 plt.annotate
 3 plt.title

 3 plt.figure (figsize)

plt.gca (set_scientific)
plt.ylim
plt.xticks
plt.grid
plt.legend

https://matplotlib.org/stable/api/pyplot_summary.html

inflation adjusting

https://www.moneycrashers.com/fdic-deposit-insurance-limits/
https://github.com/palewire/cpi

spotify map

https://developer.spotify.com/documentation/web-api/reference/search
https://medium.com/@nargessmi87/how-to-customize-the-openstreetmap-marker-icon-and-binding-popup-ab2254bddec2
https://stackoverflow.com/questions/63719299/get-top-100-artists-by-genre-spotify-api
https://stackoverflow.com/questions/17854633/get-birthdate-birthplace-from-mediawiki-xml-format-api

Wikipedia table grapher

https://en.wikipedia.org/wiki/List_of_countries_by_life_expectancy
https://en.wikipedia.org/wiki/List_of_countries_by_wealth_per_adult

https://en.wikipedia.org/wiki/Forbes_list_of_the_world%27s_highest-paid_athletes
https://en.wikipedia.org/wiki/Forbes_list_of_highest-earning_musicians
https://chartmasters.org/most-streamed-artists-ever-on-spotify/

Apartment attributes

https://www.apartments.com/
grouped bar chart?

from collections import defaultdict
import pprint

skip = (
  ' Washer & Dryer Hookups',
  ' Doorman',
  ' Furnished',
  ' Lofts',
  ' Gated',
  ' Fireplace',
  ' Patio',
  ' Office',
  ' Den',
  ' Yard',
  ' Clubhouse',
  ' Business Center',
  ' Controlled Access',
  ' Playground',
  ' Basement',
  ' Concierge',
)
national = defaultdict(lambda: 0)
for city in cities:
  print(city)
  city = cities[city]
  map = {}
  total = city[0]
  s = city[1]
  for line in s.splitlines():
      if line.startswith(skip):
        continue
      line = line.replace(',', '').strip(')')
      map[round(int(line.split('(')[1])/total, 4)] = line.split('(')[0]
      national[line.split('(')[0]] += round(int(line.split('(')[1])/total/11, 2) 
  pprint.PrettyPrinter().pprint(map) 
pprint.PrettyPrinter().pprint(national)

cities = {
'nyc': (4885, '''Air Conditioning(1,662)
 In Unit Washer & Dryer(1,337)
 Washer & Dryer Hookups(518)
 Dishwasher(1,488)
 Wheelchair Access(253)
 Parking(833)
 Laundry Facilities(1,722)
 Fitness Center(1,490)
 Pool(382)
 Elevator(1,455)
 Doorman(1,334)
 Dog Friendly(2,496)
 Cat Friendly(2,285)
 Furnished(534)
 Lofts(10)
 Utilities Included(1,340)
 Gated(195)
 Fireplace(124)
 Patio(129)
 Garage(648)
 Hardwood Floors(1,581)
 Balcony(497)
 Office(207)
 Den(53)
 Yard(28)
 Clubhouse(420)
 Business Center(331)
 Controlled Access(755)
 Playground(570)
 Basement(77)
 Walk-In Closets(719)
 Concierge(1,163)'''),

'la': (22795, '''Air Conditioning(13,898)
 In Unit Washer & Dryer(11,316)
 Washer & Dryer Hookups(1,925)
 Dishwasher(14,426)
 Wheelchair Access(3,584)
 Parking(16,976)
 Laundry Facilities(8,937)
 Fitness Center(11,542)
 Pool(12,181)
 Elevator(10,497)
 Doorman(1,201)
 Dog Friendly(14,990)
 Cat Friendly(15,515)
 Furnished(4,450)
 Lofts(2,632)
 Utilities Included(7,011)
 Gated(10,821)
 Fireplace(4,449)
 Patio(7,126)
 Garage(9,723)
 Hardwood Floors(9,296)
 Balcony(10,620)
 Office(2,520)
 Den(2,176)
 Yard(1,062)
 Clubhouse(7,492)
 Business Center(5,765)
 Controlled Access(10,261)
 Playground(1,067)
 Basement(76)
 Walk-In Closets(9,400)
 Concierge(3,209)'''),

'chi': (28270, '''Air Conditioning(14,565)
 In Unit Washer & Dryer(11,974)
 Washer & Dryer Hookups(1,333)
 Dishwasher(15,150)
 Wheelchair Access(3,235)
 Parking(14,931)
 Laundry Facilities(12,524)
 Fitness Center(10,769)
 Pool(6,397)
 Elevator(9,946)
 Doorman(3,958)
 Dog Friendly(16,780)
 Cat Friendly(18,922)
 Furnished(2,662)
 Lofts(931)
 Utilities Included(15,093)
 Gated(5,936)
 Fireplace(2,511)
 Patio(3,024)
 Garage(8,774)
 Hardwood Floors(14,674)
 Balcony(5,356)
 Office(2,361)
 Den(1,222)
 Yard(1,275)
 Clubhouse(3,152)
 Business Center(5,586)
 Controlled Access(5,565)
 Playground(472)
 Basement(669)
 Walk-In Closets(7,314)
 Concierge(4,646)'''),

'sf': (5263, '''Air Conditioning(1,168)
 In Unit Washer & Dryer(2,598)
 Washer & Dryer Hookups(168)
 Dishwasher(2,625)
 Wheelchair Access(927)
 Parking(3,361)
 Laundry Facilities(1,447)
 Fitness Center(2,657)
 Pool(764)
 Elevator(2,601)
 Doorman(593)
 Dog Friendly(3,459)
 Cat Friendly(3,627)
 Furnished(1,193)
 Lofts(510)
 Utilities Included(1,289)
 Gated(1,288)
 Fireplace(661)
 Patio(1,160)
 Garage(2,408)
 Hardwood Floors(2,057)
 Balcony(1,745)
 Office(450)
 Den(401)
 Yard(199)
 Clubhouse(1,557)
 Business Center(984)
 Controlled Access(1,957)
 Playground(375)
 Basement(93)
 Walk-In Closets(1,985)
 Concierge(1,037)'''),

'dc': (20189, '''Air Conditioning(16,439)
 In Unit Washer & Dryer(14,181)
 Washer & Dryer Hookups(861)
 Dishwasher(15,311)
 Wheelchair Access(5,936)
 Parking(17,998)
 Laundry Facilities(6,016)
 Fitness Center(16,139)
 Pool(12,165)
 Elevator(13,773)
 Doorman(1,844)
 Dog Friendly(16,347)
 Cat Friendly(17,345)
 Furnished(2,703)
 Lofts(1,511)
 Utilities Included(5,898)
 Gated(5,937)
 Fireplace(2,841)
 Patio(7,200)
 Garage(13,235)
 Hardwood Floors(9,164)
 Balcony(11,104)
 Office(1,328)
 Den(3,381)
 Yard(802)
 Clubhouse(9,586)
 Business Center(10,070)
 Controlled Access(11,675)
 Playground(2,075)
 Basement(258)
 Walk-In Closets(11,426)
 Concierge(12,624)'''),

'dal': (24361, '''Air Conditioning(15,758)
 In Unit Washer & Dryer(12,546)
 Washer & Dryer Hookups(8,117)
 Dishwasher(14,728)
 Wheelchair Access(6,268)
 Parking(20,197)
 Laundry Facilities(8,534)
 Fitness Center(18,109)
 Pool(18,818)
 Elevator(6,664)
 Doorman(517)
 Dog Friendly(22,813)
 Cat Friendly(22,700)
 Furnished(1,791)
 Lofts(2,867)
 Utilities Included(1,964)
 Gated(10,588)
 Fireplace(7,269)
 Patio(12,415)
 Garage(10,212)
 Hardwood Floors(9,663)
 Balcony(14,032)
 Office(3,664)
 Den(3,237)
 Yard(3,254)
 Clubhouse(12,773)
 Business Center(14,094)
 Controlled Access(10,567)
 Playground(4,213)
 Basement(194)
 Walk-In Closets(13,980)
 Concierge(3,599)'''),

'hou': (40483, '''Air Conditioning(26,201)
 In Unit Washer & Dryer(22,696)
 Washer & Dryer Hookups(9,241)
 Dishwasher(27,491)
 Wheelchair Access(8,087)
 Parking(33,726)
 Laundry Facilities(13,356)
 Fitness Center(28,387)
 Pool(33,942)
 Elevator(9,940)
 Doorman(562)
 Dog Friendly(34,650)
 Cat Friendly(34,710)
 Furnished(2,461)
 Lofts(4,093)
 Utilities Included(4,417)
 Gated(22,560)
 Fireplace(8,074)
 Patio(17,064)
 Garage(16,785)
 Hardwood Floors(15,767)
 Balcony(20,253)
 Office(5,293)
 Den(3,751)
 Yard(3,391)
 Clubhouse(23,062)
 Business Center(22,126)
 Controlled Access(19,687)
 Playground(7,652)
 Basement(142)
 Walk-In Closets(23,106)
 Concierge(6,714)'''),

'bos': (40307, '''Air Conditioning(8,214)
 In Unit Washer & Dryer(13,362)
 Washer & Dryer Hookups(870)
 Dishwasher(14,956)
 Wheelchair Access(1,607)
 Parking(12,669)
 Laundry Facilities(18,547)
 Fitness Center(6,095)
 Pool(3,502)
 Elevator(5,920)
 Doorman(980)
 Dog Friendly(9,529)
 Cat Friendly(13,977)
 Furnished(2,449)
 Lofts(184)
 Utilities Included(17,293)
 Gated(2,836)
 Fireplace(1,953)
 Patio(3,142)
 Garage(5,998)
 Hardwood Floors(13,933)
 Balcony(4,781)
 Office(1,144)
 Den(1,141)
 Yard(1,370)
 Clubhouse(2,995)
 Business Center(3,129)
 Controlled Access(2,428)
 Playground(362)
 Basement(1,619)
 Walk-In Closets(4,134)
 Concierge(3,892)'''),

'phi': (8728, '''Air Conditioning(5,277)
 In Unit Washer & Dryer(4,696)
 Washer & Dryer Hookups(331)
 Dishwasher(5,283)
 Wheelchair Access(1,771)
 Parking(5,645)
 Laundry Facilities(3,786)
 Fitness Center(4,591)
 Pool(2,374)
 Elevator(4,323)
 Doorman(1,493)
 Dog Friendly(5,670)
 Cat Friendly(6,464)
 Furnished(1,209)
 Lofts(703)
 Utilities Included(4,304)
 Gated(1,923)
 Fireplace(742)
 Patio(1,265)
 Garage(2,866)
 Hardwood Floors(3,368)
 Balcony(2,092)
 Office(648)
 Den(805)
 Yard(435)
 Clubhouse(2,535)
 Business Center(2,569)
 Controlled Access(3,718)
 Playground(822)
 Basement(637)
 Walk-In Closets(2,781)
 Concierge(2,520)'''),

'atl': (13125, '''Air Conditioning(8,081)
 In Unit Washer & Dryer(7,351)
 Washer & Dryer Hookups(3,700)
 Dishwasher(7,872)
 Wheelchair Access(3,632)
 Parking(10,955)
 Laundry Facilities(4,017)
 Fitness Center(10,513)
 Pool(10,911)
 Elevator(4,189)
 Doorman(616)
 Dog Friendly(12,008)
 Cat Friendly(12,013)
 Furnished(1,639)
 Lofts(1,135)
 Utilities Included(1,455)
 Gated(5,806)
 Fireplace(2,412)
 Patio(4,819)
 Garage(5,058)
 Hardwood Floors(3,911)
 Balcony(6,784)
 Office(1,979)
 Den(1,272)
 Yard(731)
 Clubhouse(7,938)
 Business Center(6,970)
 Controlled Access(6,220)
 Playground(2,249)
 Basement(133)
 Walk-In Closets(6,904)
 Concierge(2,282)'''),

'sea': (13107, '''Air Conditioning(5,290)
 In Unit Washer & Dryer(8,839)
 Washer & Dryer Hookups(523)
 Dishwasher(8,041)
 Wheelchair Access(3,345)
 Parking(11,090)
 Laundry Facilities(2,496)
 Fitness Center(9,762)
 Pool(1,493)
 Elevator(7,699)
 Doorman(483)
 Dog Friendly(12,088)
 Cat Friendly(12,141)
 Furnished(1,660)
 Lofts(1,693)
 Utilities Included(1,243)
 Gated(5,566)
 Fireplace(1,590)
 Patio(5,003)
 Garage(8,497)
 Hardwood Floors(3,667)
 Balcony(7,372)
 Office(1,837)
 Den(2,463)
 Yard(434)
 Clubhouse(5,832)
 Business Center(4,649)
 Controlled Access(7,401)
 Playground(538)
 Basement(174)
 Walk-In Closets(6,195)
 Concierge(3,198)'''),

'mia': (11902, '''Air Conditioning(5,880)
 In Unit Washer & Dryer(5,636)
 Washer & Dryer Hookups(421)
 Dishwasher(5,609)
 Wheelchair Access(1,865)
 Parking(7,086)
 Laundry Facilities(2,071)
 Fitness Center(6,429)
 Pool(8,598)
 Elevator(3,919)
 Doorman(410)
 Dog Friendly(7,741)
 Cat Friendly(7,625)
 Furnished(2,399)
 Lofts(119)
 Utilities Included(3,070)
 Gated(3,832)
 Fireplace(115)
 Patio(2,052)
 Garage(3,674)
 Hardwood Floors(976)
 Balcony(4,293)
 Office(508)
 Den(742)
 Yard(220)
 Clubhouse(3,984)
 Business Center(3,554)
 Controlled Access(3,120)
 Playground(2,180)
 Basement(58)
 Walk-In Closets(4,423)
 Concierge(2,016)''')
}