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tools/python/city_popul_sqr.data
82 строки
6 KB
Denis Koronchik
Add python script to calculate and visualize formula to calculate city radius based on it population
23 сен 2015, 02:18
23 сен 2015, 02:18
30ec020
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# City* Population*Region* | Width km* | Height km* | Square km2* | AVG | MAX | SQRT(S) # Columns with * symbol are required New York | 8405837 | USA | 56.5 | 50.2 | 1214 | 53.35 | 56.5 | 34.84250278 Los Angeles | 3792621 | USA | 51 | 80.5 | 1301.97 | 65.75 | 80.5 | 36.0828214 Chicago | 2714856 | USA | 20.9 | 44.6 | 606.1 | 32.75 | 44.6 | 24.61909828 Philadelphia | 1447395 | USA | 30.3 | 41.8 | 369.9 | 36.05 | 41.8 | 19.23278451 Dallas | 1223229 | USA | 38.6 | 50.7 | 997.1 | 44.65 | 50.7 | 31.57689028 San Francisco | 815358 | USA | 12 | 12.7 | 600.6 | 12.35 | 12.7 | 24.50714182 Detroit | 701475 | USA | 33.5 | 31.9 | 370.2 | 32.7 | 33.5 | 19.24058211 Memphis | 677272 | USA | 38 | 32.2 | 763.4 | 35.1 | 38 | 27.62969417 Seattle | 634535 | USA | 11.9 | 27.4 | 369.2 | 19.65 | 27.4 | 19.2145778 Boston | 625087 | USA | 15.1 | 18.2 | 232.1 | 16.65 | 18.2 | 15.23482852 Las Vegas | 596424 | USA | 43.1 | 31.9 | 340 | 37.5 | 43.1 | 18.43908891 Atlanta | 443775 | USA | 26.6 | 29.3 | 343 | 27.95 | 29.3 | 18.52025918 Miami | 433146 | USA | 13.7 | 15.8 | 92.42 | 14.75 | 15.8 | 9.613532129 New Orleans | 343829 | USA | 46 | 15.1 | 907 | 30.55 | 46 | 30.11644069 Pittsburgh | 312819 | USA | 23.3 | 26.9 | 151.1 | 25.1 | 26.9 | 12.292274 Orlando | 238300 | USA | 24.8 | 22.2 | 286.7 | 23.5 | 24.8 | 16.93221781 Des Moines | 203433 | USA | 18.2 | 17.2 | 213.9 | 17.7 | 18.2 | 14.62532051 Salt Lake City | 181698 | USA | 27.8 | 12.1 | 285.9 | 19.95 | 27.8 | 16.9085777 Aurora | 7508 | USA | 5 | 4.8 | 15.49 | 4.9 | 5 | 3.935733731 Barthsville | 36245 | USA | 9.3 | 11.9 | 58.9 | 10.6 | 11.9 | 7.674633542 Farmington | 45854 | USA | 10 | 12.9 | 69.93 | 11.45 | 12.9 | 8.362415919 Dumas | 14989 | USA | 3.2 | 8.2 | 14.29 | 5.7 | 8.2 | 3.780211634 Grand Island | 49989 | USA | 10.1 | 8.4 | 73.94 | 9.25 | 10.1 | 8.598837131 Hastings | 25058 | USA | 8.9 | 6.3 | 35.38 | 7.6 | 8.9 | 5.948108943 Decatur | 9362 | USA | 7.4 | 4.8 | 15 | 6.1 | 7.4 | 3.872983346 Van Wert | 10844 | USA | 4.5 | 5.3 | 19.71 | 4.9 | 5.3 | 4.439594576 Ottawa | 4417 | USA | 8 | 4.7 | 12.35 | 6.35 | 8 | 3.514256678 Blythe | 20590 | USA | 9.5 | 22.9 | 69.86 | 16.2 | 22.9 | 8.358229478 Morgan Hill | 39420 | USA | 11.3 | 13.9 | 33.36 | 12.6 | 13.9 | 5.775811631 London | 8308369 | Europe | 58.9 | 49.9 | 1572 | 54.4 | 58.9 | 39.6484552 Athens | 3074160 | Europe | 9.9 | 10.7 | 412 | 10.3 | 10.7 | 20.29778313 Berlin | 3397469 | Europe | 40.7 | 37.8 | 891.85 | 39.25 | 40.7 | 29.86385775 Madrid | 3215633 | Europe | 32 | 25.1 | 605.77 | 28.55 | 32 | 24.61239525 Rome | 2863322 | Europe | 28.2 | 31.9 | 1285.31 | 30.05 | 31.9 | 35.85122034 Paris | 10413386 | Europe | 10.9 | 10.6 | 2844.80 | 10.75 | 10.9 | 53.33666656 Bucharest | 1883425 | Europe | 26.1 | 27 | 228 | 26.55 | 27 | 15.09966887 Hamburg | 1751775 | Europe | 29.3 | 33.4 | 755 | 31.35 | 33.4 | 27.47726333 Vienna | 1765649 | Europe | 30.1 | 15.2 | 414.65 | 22.65 | 30.1 | 20.36295656 Warsaw | 1715517 | Europe | 28.1 | 31.2 | 517.24 | 29.65 | 31.2 | 22.74291098 Barselona | 1620943 | Europe | 17.7 | 18.5 | 101.9 | 18.1 | 18.5 | 10.09455299 Munich | 1388308 | Europe | 30.2 | 20.3 | 310.43 | 25.25 | 30.2 | 17.61902381 Milan | 1353882 | Europe | 14.5 | 26 | 181.76 | 20.25 | 26 | 13.48183964 Prague | 1243201 | Europe | 34 | 24.5 | 496 | 29.25 | 34 | 22.27105745 Brussels | 1138854 | Europe | 16.1 | 16.1 | 161.38 | 16.1 | 16.1 | 12.70354281 Birmingham | 1085400 | Europe | 14.8 | 14.8 | 103.39 | 14.8 | 14.8 | 10.16808733 Rennes | 208033 | Europe | 8 | 7.5 | 50.39 | 7.75 | 8 | 7.09859141 Lisboa | 547631 | Europe | 8.4 | 7.8 | 958 | 8.1 | 8.4 | 30.95157508 Sevilla | 703021 | Europe | 18.4 | 12.4 | 140 | 15.4 | 18.4 | 11.83215957 Malaga | 568507 | Europe | 14 | 9.4 | 395 | 11.7 | 14 | 19.87460691 Genova | 604848 | Europe | 29.9 | 9.5 | 243.6 | 19.7 | 29.9 | 15.60769041 Parma | 187214 | Europe | 8.9 | 7.9 | 260.77 | 8.4 | 8.9 | 16.14837453 Bologna | 384038 | Europe | 16.5 | 13.8 | 140.7 | 15.15 | 16.5 | 11.86170308 Erlangen | 105412 | Europe | 11.6 | 12.4 | 76.9 | 12 | 12.4 | 8.769264507 Kaltenkirchen | 19904 | Europe | 8.7 | 5.3 | 23.1 | 7 | 8.7 | 4.806245936 Lier | 33492 | Europe | 9.5 | 13 | 49.7 | 11.25 | 13 | 7.049822693 Decin | 50311 | Europe | 15.6 | 21.1 | 140 | 18.35 | 21.1 | 11.83215957 Marianske Lazne | 14083 | Europe | 9.6 | 17.9 | 51.81 | 13.75 | 17.9 | 7.197916365 Bindlach | 7211 | Europe | 9.6 | 8 | 37.6 | 8.8 | 9.6 | 6.131883887 Moscow | 11503501 | Russia | 32.2 | 46.8 | 2511 | | | Saint Peterburg | 4879566 | Russia | 18.6 | 36.1 | 1439 | | | Novosibirsk | 1473754 | Russia | 22.6 | 43.8 | 502.1 | | | Yekaterinburg | 1349772 | Russia | 24.4 | 33 | 495 | | | Nizhny Novgorod | 1250619 | Russia | 24.1 | 30.4 | 410.68 | | | Samara | 1164685 | Russia | 20.1 | 44.7 | 541.382 | | | Kazan | 1143535 | Russia | 34.3 | 29.3 | 425.3 | | | Rostov-on-Don | 1089261 | Russia | 59.2 | 26.4 | 348.5 | | | Volgograd | 1021215 | Russia | 12.4 | 49.2 | 859.353 | | | Krasnoyarsk | 1035528 | Russia | 36.2 | 23.8 | 348 | | | Saratov | 839755 | Russia | 25.1 | 35.2 | 394 | | | Krasnodar | 805680 | Russia | 26.2 | 20.7 | 192.19 | | | Tolyatti | 718127 | Russia | 31 | 15 | 314.78 | | | Izhevsk | 637309 | Russia | 32.7 | 21.3 | 315.15 | | | Vladivostok | 600378 | Russia | 16.4 | 39.6 | 331.16 | | | Orenburg | 560046 | Russia | 13.6 | 36.3 | 259 | | | Tula | 490508 | Russia | 18.2 | 21.8 | 145.8 | | | Cheboksary | 479266 | Russia | 16.7 | 13.9 | 250.87 | | | Tver | 411044 | Russia | 20.3 | 27.8 | 152.22 | | | Arkhangelsk | 350985 | Russia | 13.8 | 35.7 | 294.42 | | | Vologda | 306487 | Russia | 18.1 | 11.1 | 116 | | | Nizhnevartovsk | 265994 | Russia | 20.1 | 13.7 | 71 | | |