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 2255119 1443988 617460 119719 27.4 5.3
## 2 Brazil 1032913 393863 589074 49976 57 4.8
## 3 Russia 576162 234146 334024 7992 58 1.4
## 4 India 410461 169451 227756 13254 55.5 3.2
## 5 United Kingdom 304580 260587 1319 42674 0.4 14
## 6 Peru 251338 100460 143017 7861 56.9 3.1
## 7 Spain 245938 67240 150376 28322 61.1 11.5
## 8 Italy 238275 21212 182453 34610 76.6 14.5
## 9 Chile 236748 35844 196609 4295 83 1.8
## 10 Iran 202584 31693 161384 9507 79.7 4.7
## 11 France 196724 92652 74436 29636 37.8 15.1
## 12 Germany 190670 7166 174609 8895 91.6 4.7
## 13 Turkey 186493 22738 158828 4927 85.2 2.6
## 14 Pakistan 176617 105224 67892 3501 38.4 2
## 15 Mexico 175202 23567 130854 20781 74.7 11.9
## 16 Saudi Arabia 154233 54086 98917 1230 64.1 0.8
## 17 Bangladesh 108775 63357 43993 1425 40.4 1.3
## 18 Canada 102762 29470 64826 8466 63.1 8.2
## 19 South Africa 92681 40478 50326 1877 54.3 2
## 20 Qatar 86488 19631 66763 94 77.2 0.1## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 US 2255119 1443988 617460 119719 27.4 5.3
## 2 Brazil 1032913 393863 589074 49976 57 4.8
## 3 United Kingdom 304580 260587 1319 42674 0.4 14
## 4 Russia 576162 234146 334024 7992 58 1.4
## 5 India 410461 169451 227756 13254 55.5 3.2
## 6 Pakistan 176617 105224 67892 3501 38.4 2
## 7 Peru 251338 100460 143017 7861 56.9 3.1
## 8 France 196724 92652 74436 29636 37.8 15.1
## 9 Spain 245938 67240 150376 28322 61.1 11.5
## 10 Bangladesh 108775 63357 43993 1425 40.4 1.3
## 11 Saudi Arabia 154233 54086 98917 1230 64.1 0.8
## 12 Sweden 56043 50990 0 5053 0 9
## 13 Netherlands 49710 43416 186 6108 0.4 12.3
## 14 South Africa 92681 40478 50326 1877 54.3 2
## 15 Egypt 53758 37325 14327 2106 26.7 3.9
## 16 Colombia 63454 37271 24035 2148 37.9 3.4
## 17 Chile 236748 35844 196609 4295 83 1.8
## 18 Belgium 60550 34083 16771 9696 27.7 16
## 19 Iran 202584 31693 161384 9507 79.7 4.7
## 20 Canada 102762 29470 64826 8466 63.1 8.2## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 US 2255119 1443988 617460 119719 27.4 5.3
## 2 Brazil 1032913 393863 589074 49976 57 4.8
## 3 Russia 576162 234146 334024 7992 58 1.4
## 4 India 410461 169451 227756 13254 55.5 3.2
## 5 Chile 236748 35844 196609 4295 83 1.8
## 6 Italy 238275 21212 182453 34610 76.6 14.5
## 7 Germany 190670 7166 174609 8895 91.6 4.7
## 8 Iran 202584 31693 161384 9507 79.7 4.7
## 9 Turkey 186493 22738 158828 4927 85.2 2.6
## 10 Spain 245938 67240 150376 28322 61.1 11.5
## 11 Peru 251338 100460 143017 7861 56.9 3.1
## 12 Mexico 175202 23567 130854 20781 74.7 11.9
## 13 Saudi Arabia 154233 54086 98917 1230 64.1 0.8
## 14 China 84553 380 79534 4639 94.1 5.5
## 15 France 196724 92652 74436 29636 37.8 15.1
## 16 Pakistan 176617 105224 67892 3501 38.4 2
## 17 Qatar 86488 19631 66763 94 77.2 0.1
## 18 Canada 102762 29470 64826 8466 63.1 8.2
## 19 South Africa 92681 40478 50326 1877 54.3 2
## 20 Bangladesh 108775 63357 43993 1425 40.4 1.3## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 US 2255119 1443988 617460 119719 27.4 5.3
## 2 Brazil 1032913 393863 589074 49976 57 4.8
## 3 United Kingdom 304580 260587 1319 42674 0.4 14
## 4 Italy 238275 21212 182453 34610 76.6 14.5
## 5 France 196724 92652 74436 29636 37.8 15.1
## 6 Spain 245938 67240 150376 28322 61.1 11.5
## 7 Mexico 175202 23567 130854 20781 74.7 11.9
## 8 India 410461 169451 227756 13254 55.5 3.2
## 9 Belgium 60550 34083 16771 9696 27.7 16
## 10 Iran 202584 31693 161384 9507 79.7 4.7
## 11 Germany 190670 7166 174609 8895 91.6 4.7
## 12 Canada 102762 29470 64826 8466 63.1 8.2
## 13 Russia 576162 234146 334024 7992 58 1.4
## 14 Peru 251338 100460 143017 7861 56.9 3.1
## 15 Netherlands 49710 43416 186 6108 0.4 12.3
## 16 Sweden 56043 50990 0 5053 0 9
## 17 Turkey 186493 22738 158828 4927 85.2 2.6
## 18 China 84553 380 79534 4639 94.1 5.5
## 19 Chile 236748 35844 196609 4295 83 1.8
## 20 Ecuador 49731 21129 24446 4156 49.2 8.4## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 Iceland 1822 7 1805 10 99.1 0.5
## 2 New Zealand 1511 7 1482 22 98.1 1.5
## 3 Luxembourg 4105 44 3951 110 96.2 2.7
## 4 Thailand 3147 71 3018 58 95.9 1.8
## 5 Malaysia 8556 289 8146 121 95.2 1.4
## 6 China 84553 380 79534 4639 94.1 5.5
## 7 Austria 17323 460 16175 688 93.4 4
## 8 Croatia 2299 50 2142 107 93.2 4.7
## 9 Norway 8742 360 8138 244 93.1 2.8
## 10 Serbia 12803 654 11889 260 92.9 2
## 11 Switzerland 31243 387 28900 1956 92.5 6.3
## 12 Australia 7461 463 6896 102 92.4 1.4
## 13 Germany 190670 7166 174609 8895 91.6 4.7
## 14 Denmark 12591 509 11482 600 91.2 4.8
## 15 Slovakia 1586 111 1447 28 91.2 1.8
## 16 Japan 17725 822 15948 955 90 5.4
## 17 Cuba 2309 153 2071 85 89.7 3.7
## 18 Ireland 25374 961 22698 1715 89.5 6.8
## 19 Slovenia 1519 51 1359 109 89.5 7.2
## 20 Estonia 1981 154 1758 69 88.7 3.5## # 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 US 2255119 1443988 617460 119719 27.4 5.3
## 3 Somalia 2755 1916 751 88 27.3 3.2
## 4 Egypt 53758 37325 14327 2106 26.7 3.9
## 5 Philippines 29400 20600 7650 1150 26 3.9
## 6 Ethiopia 4469 3275 1122 72 25.1 1.6
## 7 Mauritania 2813 2009 696 108 24.7 3.8
## 8 Venezuela 3789 2921 835 33 22 0.9
## 9 Bolivia 23512 17686 5086 740 21.6 3.1
## 10 Guatemala 12755 9683 2558 514 20.1 4
## 11 Nepal 8605 7005 1578 22 18.3 0.3
## 12 Central African Republic 2686 2247 420 19 15.6 0.7
## 13 Congo (Kinshasa) 5672 4740 807 125 14.2 2.2
## 14 Honduras 12306 10673 1275 358 10.4 2.9
## 15 Guinea-Bissau 1541 1371 153 17 9.9 1.1
## 16 South Sudan 1882 1726 122 34 6.5 1.8
## 17 Haiti 5077 4965 24 88 0.5 1.7
## 18 Netherlands 49710 43416 186 6108 0.4 12.3
## 19 United Kingdom 304580 260587 1319 42674 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 196724 92652 74436 29636 37.8 15.1
## 3 Italy 238275 21212 182453 34610 76.6 14.5
## 4 Hungary 4086 931 2585 570 63.3 14
## 5 United Kingdom 304580 260587 1319 42674 0.4 14
## 6 Netherlands 49710 43416 186 6108 0.4 12.3
## 7 Mexico 175202 23567 130854 20781 74.7 11.9
## 8 Spain 245938 67240 150376 28322 61.1 11.5
## 9 Sweden 56043 50990 0 5053 0 9
## 10 Ecuador 49731 21129 24446 4156 49.2 8.4
## 11 Canada 102762 29470 64826 8466 63.1 8.2
## 12 Algeria 11631 2470 8324 837 71.6 7.2
## 13 Slovenia 1519 51 1359 109 89.5 7.2
## 14 Ireland 25374 961 22698 1715 89.5 6.8
## 15 Niger 1035 57 911 67 88 6.5
## 16 Romania 23730 5495 16735 1500 70.5 6.3
## 17 Switzerland 31243 387 28900 1956 92.5 6.3
## 18 Sudan 8580 4734 3325 521 38.8 6.1
## 19 Greece 3256 1692 1374 190 42.2 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 39145 8100 30726 319 78.5 0.8
## 2 Saudi Arabia 154233 54086 98917 1230 64.1 0.8
## 3 Zambia 1430 225 1194 11 83.5 0.8
## 4 Central African Republic 2686 2247 420 19 15.6 0.7
## 5 Cote d'Ivoire 7276 4232 2992 52 41.1 0.7
## 6 Kazakhstan 17225 6436 10671 118 62 0.7
## 7 United Arab Emirates 44533 12478 31754 301 71.3 0.7
## 8 Belarus 57936 20844 36749 343 63.4 0.6
## 9 Costa Rica 2127 1101 1014 12 47.7 0.6
## 10 Ghana 13717 3558 10074 85 73.4 0.6
## 11 Sri Lanka 1950 467 1472 11 75.5 0.6
## 12 Guinea 4960 1303 3630 27 73.2 0.5
## 13 Iceland 1822 7 1805 10 99.1 0.5
## 14 Maldives 2187 391 1788 8 81.8 0.4
## 15 Oman 28566 13658 14780 128 51.7 0.4
## 16 Bahrain 21331 5481 15790 60 74 0.3
## 17 Nepal 8605 7005 1578 22 18.3 0.3
## 18 Uzbekistan 6153 1844 4290 19 69.7 0.3
## 19 Qatar 86488 19631 66763 94 77.2 0.1
## 20 Singapore 41833 7583 34224 26 81.8 0.1## # A tibble: 9 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 China 84553 380 79534 4639 94.1 5.5
## 2 India 410461 169451 227756 13254 55.5 3.2
## 3 Burma 287 85 196 6 68.3 2.1
## 4 Afghanistan 28424 19563 8292 569 29.2 2
## 5 Pakistan 176617 105224 67892 3501 38.4 2
## 6 Bangladesh 108775 63357 43993 1425 40.4 1.3
## 7 Sri Lanka 1950 467 1472 11 75.5 0.6
## 8 Nepal 8605 7005 1578 22 18.3 0.3
## 9 Bhutan 68 38 30 0 44.1 0Acknowledgment: JHU CCSE repository developers