Use Python Code Your task is : Use pandas to read the csv table. Example df = pd.read_csv('COVID19.csv' ), then make a visualization of confirmed cases of COVID-19 by country using matplotlib, seaborn, etc. Just tell me how to do it ! Why this question always get rejected ?! Covid-19 Confirmed table (csv) : Province/State Country Lat Long ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 2/1/2020 2/2/2020 2/3/2020 2/4/2020 2/5/2020 2/6/2020 2/7/2020 2/8/2020 2/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 3/1/2020 3/2/2020 3/3/2020 3/4/2020 3/5/2020 3/6/2020 3/7/2020 3/8/2020 3/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 4/1/2020 4/2/2020 4/3/2020 4/4/2020 4/5/2020 4/6/2020 4/7/2020 Afghanistan 33 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 4 4 5 7 7 7 11 16 21 22 22 22 24 24 40 40 74 84 94 110 110 120 170 174 237 273 281 299 349 367 423 Albania 41.1533 20.1683 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 10 12 23 33 38 42 51 55 59 64 70 76 89 104 123 146 174 186 197 212 223 243 259 277 304 333 361 377 383 Algeria 28.0339 1.6596 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 3 5 12 12 17 17 19 20 20 20 24 26 37 48 54 60 74 87 90 139 201 230 264 302 367 409 454 511 584 716 847 986 1171 1251 1320 1423 1468 Andorra 42.5063 1.5218 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 39 39 53 75 88 113 133 164 188 224 267 308 334 370 376 390 428 439 466 501 525 545 Angola -11.2027 17.8739 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 3 3 3 4 4 5 7 7 7 8 8 8 10 14 16 17 Antigua and Barbuda 17.0608 -61.7964 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 3 3 3 7 7 7 7 7 7 7 9 15 15 15 15 19 Argentina -38.4161 -63.6167 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 8 12 12 17 19 19 31 34 45 56 68 79 97 128 158 266 301 387 387 502 589 690 745 820 1054 1054 1133 1265 1451 1451 1554 1628 Armenia 40.0691 45.0382 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 4 8 18 26 52 78 84 115 136 160 194 235 249 265 290 329 407 424 482 532 571 663 736 770 822 833 853 Australian Capital Territory Australia -35.4735 149.0124 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 2 3 4 6 9 19 32 39 39 53 62 71 77 78 80 84 87 91 93 96 96 96 New South Wales Australia -33.8688 151.2093 0 0 0 0 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 6 6 13 22 22 26 28 38 48 55 65 65 92 112 134 171 210 267 307 353 436 669 669 818 1029 1219 1405 1617 1791 2032 2032 2182 2298 2389 2493 2580 2637 2686 Northern Territory Australia -12.4634 130.8456 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1 1 3 3 5 5 6 6 12 12 15 15 15 17 19 21 22 26 27 28 28 Queensland Australia -28.0167 153.4 0 0 0 0 0 0 0 1 3 2 3 2 2 3 3 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 9 9 9 11 11 13 13 13 15 15 18 20 20 35 46 61 68 78 94 144 184 221 259 319 397 443 493 555 625 656 689 743 781 835 873 900 907 921 934 South Australia Australia -34.9285 138.6007 0 0 0 0 0 0 0 0 0 0 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 5 5 7 7 7 7 7 9 9 16 19 20 29 29 37 42 50 67 100 134 170 170 235 257 287 299 305 337 367 367 396 407 407 411 411 Tasmania Australia -41.4545 145.9707 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 2 2 2 3 3 5 5 6 7 7 10 10 10 16 22 28 28 36 47 47 62 66 66 69 69 72 74 80 82 86 89 Victoria Australia -37.8136 144.9631 0 0 0 0 1 1 1 1 2 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 7 7 9 9 10 10 10 11 11 15 18 21 21 36 49 57 71 94 121 121 121 229 355 355 411 466 520 574 685 769 821 917 968 1036 1085 1115 1135 1158 1191 Western Australia Australia -31.9505 115.8605 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 2 3 3 3 3 4 6 9 9 14 17 17 28 31 35 52 64 90 120 140 175 175 231 231 278 311 355 364 392 400 400 436 453 460 460 Austria 47.5162 14.5501 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 3 3 9 14 18 21 29 41 55 79 104 131 182 246 302 504 655 860 1018 1332 1646 2013 2388 2814 3582 4474 5283 5588 6909 7657 8271 8788 9618 10180 10711 11129 11524 11781 12051 12297 12639 Azerbaijan 40.1431 47.5769 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 3 6 6 9 9 9 11 11 11 15 15 23 28 28 28 44 44 53 65 72 87 93 122 165 182 209 273 298 359 400 443 521 584 641 717 Bahamas 25.0343 -77.3963 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 3 3 4 4 4 5 5 9 10 10 11 14 14 21 24 24 28 28 29 33 Bahrain 26.0275 50.55 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 23 33 33 36 41 47 49 49 52 55 60 85 85 95 110 195 195 195 210 214 214 228 256 278 285 305 334 377 392 419 458 466 476 499 515 567 569 643 672 688 700 756 811 Bangladesh 23.685 90.3563 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 3 3 3 3 5 8 10 14 17 20 25 27 33 39 39 44 48 48 48 49 51 54 56 61 70 88 123 164 Barbados 13.1939 -59.5432 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 5 5 6 14 17 18 18 18 24 26 33 33 34 34 46 51 52 56 60 63 Belarus 53.7098 27.9534 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 6 6 6 6 6 6 9 9 12 27 27 27 36 36 51 51 69 76 76 81 81 86 86 94 94 94 152 152 163 304 351 440 562 700 861

Use Python Code Your task is : Use pandas to read the csv table. Example df = pd.read_csv('COVID19.csv' ), then make a visualization of confirmed cases of COVID-19 by country using matplotlib, seaborn, etc. Just tell me how to do it ! Why this question always get rejected ?! Covid-19 Confirmed table (csv) : Province/State Country Lat Long ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 2/1/2020 2/2/2020 2/3/2020 2/4/2020 2/5/2020 2/6/2020 2/7/2020 2/8/2020 2/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 3/1/2020 3/2/2020 3/3/2020 3/4/2020 3/5/2020 3/6/2020 3/7/2020 3/8/2020 3/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 4/1/2020 4/2/2020 4/3/2020 4/4/2020 4/5/2020 4/6/2020 4/7/2020 Afghanistan 33 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 4 4 5 7 7 7 11 16 21 22 22 22 24 24 40 40 74 84 94 110 110 120 170 174 237 273 281 299 349 367 423 Albania 41.1533 20.1683 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 10 12 23 33 38 42 51 55 59 64 70 76 89 104 123 146 174 186 197 212 223 243 259 277 304 333 361 377 383 Algeria 28.0339 1.6596 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 3 5 12 12 17 17 19 20 20 20 24 26 37 48 54 60 74 87 90 139 201 230 264 302 367 409 454 511 584 716 847 986 1171 1251 1320 1423 1468 Andorra 42.5063 1.5218 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 39 39 53 75 88 113 133 164 188 224 267 308 334 370 376 390 428 439 466 501 525 545 Angola -11.2027 17.8739 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 2 2 3 3 3 4 4 5 7 7 7 8 8 8 10 14 16 17 Antigua and Barbuda 17.0608 -61.7964 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 3 3 3 7 7 7 7 7 7 7 9 15 15 15 15 19 Argentina -38.4161 -63.6167 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 8 12 12 17 19 19 31 34 45 56 68 79 97 128 158 266 301 387 387 502 589 690 745 820 1054 1054 1133 1265 1451 1451 1554 1628 Armenia 40.0691 45.0382 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 4 8 18 26 52 78 84 115 136 160 194 235 249 265 290 329 407 424 482 532 571 663 736 770 822 833 853 Australian Capital Territory Australia -35.4735 149.0124 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 2 2 3 4 6 9 19 32 39 39 53 62 71 77 78 80 84 87 91 93 96 96 96 New South Wales Australia -33.8688 151.2093 0 0 0 0 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 6 6 13 22 22 26 28 38 48 55 65 65 92 112 134 171 210 267 307 353 436 669 669 818 1029 1219 1405 1617 1791 2032 2032 2182 2298 2389 2493 2580 2637 2686 Northern Territory Australia -12.4634 130.8456 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1 1 3 3 5 5 6 6 12 12 15 15 15 17 19 21 22 26 27 28 28 Queensland Australia -28.0167 153.4 0 0 0 0 0 0 0 1 3 2 3 2 2 3 3 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 9 9 9 11 11 13 13 13 15 15 18 20 20 35 46 61 68 78 94 144 184 221 259 319 397 443 493 555 625 656 689 743 781 835 873 900 907 921 934 South Australia Australia -34.9285 138.6007 0 0 0 0 0 0 0 0 0 0 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 5 5 7 7 7 7 7 9 9 16 19 20 29 29 37 42 50 67 100 134 170 170 235 257 287 299 305 337 367 367 396 407 407 411 411 Tasmania Australia -41.4545 145.9707 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 2 2 2 3 3 5 5 6 7 7 10 10 10 16 22 28 28 36 47 47 62 66 66 69 69 72 74 80 82 86 89 Victoria Australia -37.8136 144.9631 0 0 0 0 1 1 1 1 2 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 7 7 9 9 10 10 10 11 11 15 18 21 21 36 49 57 71 94 121 121 121 229 355 355 411 466 520 574 685 769 821 917 968 1036 1085 1115 1135 1158 1191 Western Australia Australia -31.9505 115.8605 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 2 3 3 3 3 4 6 9 9 14 17 17 28 31 35 52 64 90 120 140 175 175 231 231 278 311 355 364 392 400 400 436 453 460 460 Austria 47.5162 14.5501 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 3 3 9 14 18 21 29 41 55 79 104 131 182 246 302 504 655 860 1018 1332 1646 2013 2388 2814 3582 4474 5283 5588 6909 7657 8271 8788 9618 10180 10711 11129 11524 11781 12051 12297 12639 Azerbaijan 40.1431 47.5769 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 3 6 6 9 9 9 11 11 11 15 15 23 28 28 28 44 44 53 65 72 87 93 122 165 182 209 273 298 359 400 443 521 584 641 717 Bahamas 25.0343 -77.3963 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 3 3 4 4 4 5 5 9 10 10 11 14 14 21 24 24 28 28 29 33 Bahrain 26.0275 50.55 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 23 33 33 36 41 47 49 49 52 55 60 85 85 95 110 195 195 195 210 214 214 228 256 278 285 305 334 377 392 419 458 466 476 499 515 567 569 643 672 688 700 756 811 Bangladesh 23.685 90.3563 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 3 3 3 3 5 8 10 14 17 20 25 27 33 39 39 44 48 48 48 49 51 54 56 61 70 88 123 164 Barbados 13.1939 -59.5432 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 5 5 6 14 17 18 18 18 24 26 33 33 34 34 46 51 52 56 60 63 Belarus 53.7098 27.9534 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 6 6 6 6 6 6 9 9 12 27 27 27 36 36 51 51 69 76 76 81 81 86 86 94 94 94 152 152 163 304 351 440 562 700 861

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Related questions

Question

Use Python Code

Your task is : Use pandas to read the csv table. Example df = pd.read_csv('COVID19.csv' ), then make a visualization of confirmed cases of COVID-19 by country using matplotlib, seaborn, etc. Just tell me how to do it ! Why this question always get rejected ?!

Covid-19 Confirmed table (csv) :

Province/State	Country	Lat	Long	########	########	########	########	########	########	########	########	########	########	2/1/2020	2/2/2020	2/3/2020	2/4/2020	2/5/2020	2/6/2020	2/7/2020	2/8/2020	2/9/2020	########	########	########	########	########	########	########	########	########	########	########	########	########	########	########	########	########	########	########	########	3/1/2020	3/2/2020	3/3/2020	3/4/2020	3/5/2020	3/6/2020	3/7/2020	3/8/2020	3/9/2020	########	########	########	########	########	########	########	########	########	########	########	########	########	########	########	########	########	########	########	########	########	########	4/1/2020	4/2/2020	4/3/2020	4/4/2020	4/5/2020	4/6/2020	4/7/2020
	Afghanistan	33	65	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	1	1	1	1	1	1	1	1	4	4	5	7	7	7	11	16	21	22	22	22	24	24	40	40	74	84	94	110	110	120	170	174	237	273	281	299	349	367	423
	Albania	41.1533	20.1683	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	10	12	23	33	38	42	51	55	59	64	70	76	89	104	123	146	174	186	197	212	223	243	259	277	304	333	361	377	383
	Algeria	28.0339	1.6596	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	1	3	5	12	12	17	17	19	20	20	20	24	26	37	48	54	60	74	87	90	139	201	230	264	302	367	409	454	511	584	716	847	986	1171	1251	1320	1423	1468
	Andorra	42.5063	1.5218	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	1	1	1	1	1	1	1	1	1	2	39	39	53	75	88	113	133	164	188	224	267	308	334	370	376	390	428	439	466	501	525	545
	Angola	-11.2027	17.8739	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	2	2	3	3	3	4	4	5	7	7	7	8	8	8	10	14	16	17
	Antigua and Barbuda	17.0608	-61.7964	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	1	1	1	1	1	3	3	3	7	7	7	7	7	7	7	9	15	15	15	15	19
	Argentina	-38.4161	-63.6167	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	2	8	12	12	17	19	19	31	34	45	56	68	79	97	128	158	266	301	387	387	502	589	690	745	820	1054	1054	1133	1265	1451	1451	1554	1628
	Armenia	40.0691	45.0382	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	1	1	1	1	1	1	4	8	18	26	52	78	84	115	136	160	194	235	249	265	290	329	407	424	482	532	571	663	736	770	822	833	853
Australian Capital Territory	Australia	-35.4735	149.0124	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	2	2	3	4	6	9	19	32	39	39	53	62	71	77	78	80	84	87	91	93	96	96	96
New South Wales	Australia	-33.8688	151.2093	0	0	0	0	3	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	6	6	13	22	22	26	28	38	48	55	65	65	92	112	134	171	210	267	307	353	436	669	669	818	1029	1219	1405	1617	1791	2032	2032	2182	2298	2389	2493	2580	2637	2686
Northern Territory	Australia	-12.4634	130.8456	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	0	1	1	1	1	1	1	1	1	1	1	3	3	5	5	6	6	12	12	15	15	15	17	19	21	22	26	27	28	28
Queensland	Australia	-28.0167	153.4	0	0	0	0	0	0	0	1	3	2	3	2	2	3	3	4	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	9	9	9	11	11	13	13	13	15	15	18	20	20	35	46	61	68	78	94	144	184	221	259	319	397	443	493	555	625	656	689	743	781	835	873	900	907	921	934
South Australia	Australia	-34.9285	138.6007	0	0	0	0	0	0	0	0	0	0	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	3	3	3	3	5	5	7	7	7	7	7	9	9	16	19	20	29	29	37	42	50	67	100	134	170	170	235	257	287	299	305	337	367	367	396	407	407	411	411
Tasmania	Australia	-41.4545	145.9707	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	1	2	2	2	3	3	5	5	6	7	7	10	10	10	16	22	28	28	36	47	47	62	66	66	69	69	72	74	80	82	86	89
Victoria	Australia	-37.8136	144.9631	0	0	0	0	1	1	1	1	2	3	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	7	7	9	9	10	10	10	11	11	15	18	21	21	36	49	57	71	94	121	121	121	229	355	355	411	466	520	574	685	769	821	917	968	1036	1085	1115	1135	1158	1191
Western Australia	Australia	-31.9505	115.8605	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	2	2	2	2	3	3	3	3	4	6	9	9	14	17	17	28	31	35	52	64	90	120	140	175	175	231	231	278	311	355	364	392	400	400	436	453	460	460
	Austria	47.5162	14.5501	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	2	3	3	9	14	18	21	29	41	55	79	104	131	182	246	302	504	655	860	1018	1332	1646	2013	2388	2814	3582	4474	5283	5588	6909	7657	8271	8788	9618	10180	10711	11129	11524	11781	12051	12297	12639
	Azerbaijan	40.1431	47.5769	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	3	3	3	6	6	9	9	9	11	11	11	15	15	23	28	28	28	44	44	53	65	72	87	93	122	165	182	209	273	298	359	400	443	521	584	641	717
	Bahamas	25.0343	-77.3963	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	3	3	4	4	4	5	5	9	10	10	11	14	14	21	24	24	28	28	29	33
	Bahrain	26.0275	50.55	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	23	33	33	36	41	47	49	49	52	55	60	85	85	95	110	195	195	195	210	214	214	228	256	278	285	305	334	377	392	419	458	466	476	499	515	567	569	643	672	688	700	756	811
	Bangladesh	23.685	90.3563	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	3	3	3	3	3	3	3	5	8	10	14	17	20	25	27	33	39	39	44	48	48	48	49	51	54	56	61	70	88	123	164
	Barbados	13.1939	-59.5432	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	2	2	5	5	6	14	17	18	18	18	24	26	33	33	34	34	46	51	52	56	60	63
	Belarus	53.7098	27.9534	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	1	1	1	1	6	6	6	6	6	6	9	9	12	27	27	27	36	36	51	51	69	76	76	81	81	86	86	94	94	94	152	152	163	304	351	440	562	700	861

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