This report is created to check daily change in COVID19 cases. Data for analysis is taken from given link.
## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 US 2279879 1463372 622133 119969 27.3 5.3
## 2 Brazil 1085038 433845 600576 50617 55.4 4.7
## 3 Russia 583879 236636 339142 8101 58.1 1.4
## 4 India 425282 174387 237196 13699 55.8 3.2
## 5 United Kingdom 305803 261767 1319 42717 0.4 14
## 6 Peru 251338 101510 141967 7861 56.5 3.1
## 7 Spain 246272 67573 150376 28323 61.1 11.5
## 8 Chile 242355 37307 200569 4479 82.8 1.8
## 9 Italy 238499 20972 182893 34634 76.7 14.5
## 10 Iran 204952 31738 163591 9623 79.8 4.7
## 11 France 197008 92869 74496 29643 37.8 15
## 12 Germany 191272 7637 174740 8895 91.4 4.7
## 13 Turkey 187685 22495 160240 4950 85.4 2.6
## 14 Pakistan 181088 106040 71458 3590 39.5 2
## 15 Mexico 180545 24225 134495 21825 74.5 12.1
## 16 Saudi Arabia 157612 55215 101130 1267 64.2 0.8
## 17 Bangladesh 112306 65765 45077 1464 40.1 1.3
## 18 Canada 103078 29347 65249 8482 63.3 8.2
## 19 South Africa 97302 43764 51608 1930 53 2
## 20 Qatar 87369 18952 68319 98 78.2 0.1## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 US 2279879 1463372 622133 119969 27.3 5.3
## 2 Brazil 1085038 433845 600576 50617 55.4 4.7
## 3 United Kingdom 305803 261767 1319 42717 0.4 14
## 4 Russia 583879 236636 339142 8101 58.1 1.4
## 5 India 425282 174387 237196 13699 55.8 3.2
## 6 Pakistan 181088 106040 71458 3590 39.5 2
## 7 Peru 251338 101510 141967 7861 56.5 3.1
## 8 France 197008 92869 74496 29643 37.8 15
## 9 Spain 246272 67573 150376 28323 61.1 11.5
## 10 Bangladesh 112306 65765 45077 1464 40.1 1.3
## 11 Saudi Arabia 157612 55215 101130 1267 64.2 0.8
## 12 Sweden 56043 50990 0 5053 0 9
## 13 South Africa 97302 43764 51608 1930 53 2
## 14 Netherlands 49801 43506 186 6109 0.4 12.3
## 15 Colombia 68836 39071 27412 2353 39.8 3.4
## 16 Egypt 55233 38304 14736 2193 26.7 4
## 17 Chile 242355 37307 200569 4479 82.8 1.8
## 18 Belgium 60550 34083 16771 9696 27.7 16
## 19 Iran 204952 31738 163591 9623 79.8 4.7
## 20 Canada 103078 29347 65249 8482 63.3 8.2## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 US 2279879 1463372 622133 119969 27.3 5.3
## 2 Brazil 1085038 433845 600576 50617 55.4 4.7
## 3 Russia 583879 236636 339142 8101 58.1 1.4
## 4 India 425282 174387 237196 13699 55.8 3.2
## 5 Chile 242355 37307 200569 4479 82.8 1.8
## 6 Italy 238499 20972 182893 34634 76.7 14.5
## 7 Germany 191272 7637 174740 8895 91.4 4.7
## 8 Iran 204952 31738 163591 9623 79.8 4.7
## 9 Turkey 187685 22495 160240 4950 85.4 2.6
## 10 Spain 246272 67573 150376 28323 61.1 11.5
## 11 Peru 251338 101510 141967 7861 56.5 3.1
## 12 Mexico 180545 24225 134495 21825 74.5 12.1
## 13 Saudi Arabia 157612 55215 101130 1267 64.2 0.8
## 14 China 84572 398 79535 4639 94 5.5
## 15 France 197008 92869 74496 29643 37.8 15
## 16 Pakistan 181088 106040 71458 3590 39.5 2
## 17 Qatar 87369 18952 68319 98 78.2 0.1
## 18 Canada 103078 29347 65249 8482 63.3 8.2
## 19 South Africa 97302 43764 51608 1930 53 2
## 20 Bangladesh 112306 65765 45077 1464 40.1 1.3## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 US 2279879 1463372 622133 119969 27.3 5.3
## 2 Brazil 1085038 433845 600576 50617 55.4 4.7
## 3 United Kingdom 305803 261767 1319 42717 0.4 14
## 4 Italy 238499 20972 182893 34634 76.7 14.5
## 5 France 197008 92869 74496 29643 37.8 15
## 6 Spain 246272 67573 150376 28323 61.1 11.5
## 7 Mexico 180545 24225 134495 21825 74.5 12.1
## 8 India 425282 174387 237196 13699 55.8 3.2
## 9 Belgium 60550 34083 16771 9696 27.7 16
## 10 Iran 204952 31738 163591 9623 79.8 4.7
## 11 Germany 191272 7637 174740 8895 91.4 4.7
## 12 Canada 103078 29347 65249 8482 63.3 8.2
## 13 Russia 583879 236636 339142 8101 58.1 1.4
## 14 Peru 251338 101510 141967 7861 56.5 3.1
## 15 Netherlands 49801 43506 186 6109 0.4 12.3
## 16 Sweden 56043 50990 0 5053 0 9
## 17 Turkey 187685 22495 160240 4950 85.4 2.6
## 18 China 84572 398 79535 4639 94 5.5
## 19 Chile 242355 37307 200569 4479 82.8 1.8
## 20 Ecuador 50640 21426 24991 4223 49.4 8.3## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 Iceland 1823 8 1805 10 99 0.5
## 2 New Zealand 1513 9 1482 22 98 1.5
## 3 Luxembourg 4120 54 3956 110 96 2.7
## 4 Thailand 3148 72 3018 58 95.9 1.8
## 5 Malaysia 8572 295 8156 121 95.1 1.4
## 6 China 84572 398 79535 4639 94 5.5
## 7 Austria 17341 454 16197 690 93.4 4
## 8 Norway 8745 363 8138 244 93.1 2.8
## 9 Serbia 12894 686 11947 261 92.7 2
## 10 Switzerland 31292 336 29000 1956 92.7 6.3
## 11 Australia 7474 469 6903 102 92.4 1.4
## 12 Croatia 2317 68 2142 107 92.4 4.6
## 13 Germany 191272 7637 174740 8895 91.4 4.7
## 14 Denmark 12591 509 11482 600 91.2 4.8
## 15 Slovakia 1587 112 1447 28 91.2 1.8
## 16 Cuba 2312 124 2103 85 91 3.7
## 17 Slovenia 1520 35 1376 109 90.5 7.2
## 18 Japan 17780 877 15948 955 89.7 5.4
## 19 Ireland 25379 966 22698 1715 89.4 6.8
## 20 Estonia 1981 148 1764 69 89 3.5## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 Somalia 2779 1907 782 90 28.1 3.2
## 2 Belgium 60550 34083 16771 9696 27.7 16
## 3 US 2279879 1463372 622133 119969 27.3 5.3
## 4 Mauritania 2984 2062 811 111 27.2 3.7
## 5 Ethiopia 4532 3245 1213 74 26.8 1.6
## 6 Egypt 55233 38304 14736 2193 26.7 4
## 7 Philippines 30052 20990 7893 1169 26.3 3.9
## 8 Bolivia 24388 18161 5454 773 22.4 3.2
## 9 Venezuela 3917 3049 835 33 21.3 0.8
## 10 Guatemala 13145 9903 2711 531 20.6 4
## 11 Nepal 9026 7231 1772 23 19.6 0.3
## 12 Central African Republic 2808 2313 472 23 16.8 0.8
## 13 Congo (Kinshasa) 5826 4855 841 130 14.4 2.2
## 14 Honduras 12769 11113 1293 363 10.1 2.8
## 15 Guinea-Bissau 1541 1371 153 17 9.9 1.1
## 16 South Sudan 1892 1689 169 34 8.9 1.8
## 17 Haiti 5077 4965 24 88 0.5 1.7
## 18 Netherlands 49801 43506 186 6109 0.4 12.3
## 19 United Kingdom 305803 261767 1319 42717 0.4 14
## 20 Sweden 56043 50990 0 5053 0 9## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 Belgium 60550 34083 16771 9696 27.7 16
## 2 France 197008 92869 74496 29643 37.8 15
## 3 Italy 238499 20972 182893 34634 76.7 14.5
## 4 United Kingdom 305803 261767 1319 42717 0.4 14
## 5 Hungary 4094 935 2589 570 63.2 13.9
## 6 Netherlands 49801 43506 186 6109 0.4 12.3
## 7 Mexico 180545 24225 134495 21825 74.5 12.1
## 8 Spain 246272 67573 150376 28323 61.1 11.5
## 9 Sweden 56043 50990 0 5053 0 9
## 10 Ecuador 50640 21426 24991 4223 49.4 8.3
## 11 Canada 103078 29347 65249 8482 63.3 8.2
## 12 Algeria 11771 2504 8422 845 71.5 7.2
## 13 Slovenia 1520 35 1376 109 90.5 7.2
## 14 Ireland 25379 966 22698 1715 89.4 6.8
## 15 Niger 1036 58 911 67 87.9 6.5
## 16 Romania 24045 5622 16911 1512 70.3 6.3
## 17 Switzerland 31292 336 29000 1956 92.7 6.3
## 18 Sudan 8580 4734 3325 521 38.8 6.1
## 19 Greece 3266 1702 1374 190 42.1 5.8
## 20 Mali 1933 569 1255 109 64.9 5.6## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 Kuwait 39650 8084 31240 326 78.8 0.8
## 2 Saudi Arabia 157612 55215 101130 1267 64.2 0.8
## 3 Venezuela 3917 3049 835 33 21.3 0.8
## 4 Zambia 1430 225 1194 11 83.5 0.8
## 5 Cote d'Ivoire 7492 4370 3068 54 41 0.7
## 6 Kazakhstan 17732 6715 10897 120 61.5 0.7
## 7 United Arab Emirates 44925 12208 32415 302 72.2 0.7
## 8 Belarus 58505 20493 37666 346 64.4 0.6
## 9 Ghana 14154 3596 10473 85 74 0.6
## 10 Sri Lanka 1950 441 1498 11 76.8 0.6
## 11 Costa Rica 2213 1169 1032 12 46.6 0.5
## 12 Guinea 4988 1292 3669 27 73.6 0.5
## 13 Iceland 1823 8 1805 10 99 0.5
## 14 Maldives 2203 392 1803 8 81.8 0.4
## 15 Oman 29471 13788 15552 131 52.8 0.4
## 16 Bahrain 21764 5282 16419 63 75.4 0.3
## 17 Nepal 9026 7231 1772 23 19.6 0.3
## 18 Uzbekistan 6315 1919 4377 19 69.3 0.3
## 19 Qatar 87369 18952 68319 98 78.2 0.1
## 20 Singapore 42095 7127 34942 26 83 0.1## # A tibble: 9 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 China 84572 398 79535 4639 94 5.5
## 2 India 425282 174387 237196 13699 55.8 3.2
## 3 Burma 290 84 200 6 69 2.1
## 4 Afghanistan 28833 19488 8764 581 30.4 2
## 5 Pakistan 181088 106040 71458 3590 39.5 2
## 6 Bangladesh 112306 65765 45077 1464 40.1 1.3
## 7 Sri Lanka 1950 441 1498 11 76.8 0.6
## 8 Nepal 9026 7231 1772 23 19.6 0.3
## 9 Bhutan 68 38 30 0 44.1 0Acknowledgment: JHU CCSE repository developers