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 2347022 1510931 647548 121228 27.6 5.2
## 2 Brazil 1145906 465298 627963 52645 54.8 4.6
## 3 Russia 598878 234682 355847 8349 59.4 1.4
## 4 India 456183 183022 258685 14476 56.7 3.2
## 5 United Kingdom 307682 263341 1330 43011 0.4 14
## 6 Peru 260810 103969 148437 8404 56.9 3.2
## 7 Chile 250767 35692 210570 4505 84 1.8
## 8 Spain 246752 68051 150376 28325 60.9 11.5
## 9 Italy 238833 19573 184585 34675 77.3 14.5
## 10 Iran 209970 30947 169160 9863 80.6 4.7
## 11 France 197804 93086 74995 29723 37.9 15
## 12 Germany 192480 7741 175825 8914 91.3 4.6
## 13 Mexico 191410 24387 143646 23377 75 12.2
## 14 Turkey 190165 22316 162848 5001 85.6 2.6
## 15 Pakistan 188926 107417 77754 3755 41.2 2
## 16 Saudi Arabia 164144 52913 109885 1346 66.9 0.8
## 17 Bangladesh 119198 70018 47635 1545 40 1.3
## 18 South Africa 106108 48961 55045 2102 51.9 2
## 19 Canada 103767 29120 66135 8512 63.7 8.2
## 20 Qatar 89579 17979 71501 99 79.8 0.1## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 US 2347022 1510931 647548 121228 27.6 5.2
## 2 Brazil 1145906 465298 627963 52645 54.8 4.6
## 3 United Kingdom 307682 263341 1330 43011 0.4 14
## 4 Russia 598878 234682 355847 8349 59.4 1.4
## 5 India 456183 183022 258685 14476 56.7 3.2
## 6 Pakistan 188926 107417 77754 3755 41.2 2
## 7 Peru 260810 103969 148437 8404 56.9 3.2
## 8 France 197804 93086 74995 29723 37.9 15
## 9 Bangladesh 119198 70018 47635 1545 40 1.3
## 10 Spain 246752 68051 150376 28325 60.9 11.5
## 11 Sweden 60837 55676 0 5161 0 8.5
## 12 Saudi Arabia 164144 52913 109885 1346 66.9 0.8
## 13 South Africa 106108 48961 55045 2102 51.9 2
## 14 Netherlands 49930 43630 186 6114 0.4 12.2
## 15 Colombia 73760 40719 30517 2524 41.4 3.4
## 16 Egypt 58141 40241 15535 2365 26.7 4.1
## 17 Chile 250767 35692 210570 4505 84 1.8
## 18 Belgium 60810 34326 16771 9713 27.6 16
## 19 Argentina 47203 32549 13576 1078 28.8 2.3
## 20 Iran 209970 30947 169160 9863 80.6 4.7## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 US 2347022 1510931 647548 121228 27.6 5.2
## 2 Brazil 1145906 465298 627963 52645 54.8 4.6
## 3 Russia 598878 234682 355847 8349 59.4 1.4
## 4 India 456183 183022 258685 14476 56.7 3.2
## 5 Chile 250767 35692 210570 4505 84 1.8
## 6 Italy 238833 19573 184585 34675 77.3 14.5
## 7 Germany 192480 7741 175825 8914 91.3 4.6
## 8 Iran 209970 30947 169160 9863 80.6 4.7
## 9 Turkey 190165 22316 162848 5001 85.6 2.6
## 10 Spain 246752 68051 150376 28325 60.9 11.5
## 11 Peru 260810 103969 148437 8404 56.9 3.2
## 12 Mexico 191410 24387 143646 23377 75 12.2
## 13 Saudi Arabia 164144 52913 109885 1346 66.9 0.8
## 14 China 84653 458 79555 4640 94 5.5
## 15 Pakistan 188926 107417 77754 3755 41.2 2
## 16 France 197804 93086 74995 29723 37.9 15
## 17 Qatar 89579 17979 71501 99 79.8 0.1
## 18 Canada 103767 29120 66135 8512 63.7 8.2
## 19 South Africa 106108 48961 55045 2102 51.9 2
## 20 Bangladesh 119198 70018 47635 1545 40 1.3## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 US 2347022 1510931 647548 121228 27.6 5.2
## 2 Brazil 1145906 465298 627963 52645 54.8 4.6
## 3 United Kingdom 307682 263341 1330 43011 0.4 14
## 4 Italy 238833 19573 184585 34675 77.3 14.5
## 5 France 197804 93086 74995 29723 37.9 15
## 6 Spain 246752 68051 150376 28325 60.9 11.5
## 7 Mexico 191410 24387 143646 23377 75 12.2
## 8 India 456183 183022 258685 14476 56.7 3.2
## 9 Iran 209970 30947 169160 9863 80.6 4.7
## 10 Belgium 60810 34326 16771 9713 27.6 16
## 11 Germany 192480 7741 175825 8914 91.3 4.6
## 12 Canada 103767 29120 66135 8512 63.7 8.2
## 13 Peru 260810 103969 148437 8404 56.9 3.2
## 14 Russia 598878 234682 355847 8349 59.4 1.4
## 15 Netherlands 49930 43630 186 6114 0.4 12.2
## 16 Sweden 60837 55676 0 5161 0 8.5
## 17 Turkey 190165 22316 162848 5001 85.6 2.6
## 18 China 84653 458 79555 4640 94 5.5
## 19 Chile 250767 35692 210570 4505 84 1.8
## 20 Ecuador 51643 22378 24991 4274 48.4 8.3## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 Iceland 1824 8 1806 10 99 0.5
## 2 New Zealand 1516 11 1483 22 97.8 1.5
## 3 Luxembourg 4133 64 3959 110 95.8 2.7
## 4 Thailand 3156 75 3023 58 95.8 1.8
## 5 Malaysia 8590 283 8186 121 95.3 1.4
## 6 China 84653 458 79555 4640 94 5.5
## 7 Austria 17408 454 16261 693 93.4 4
## 8 Norway 8772 386 8138 248 92.8 2.8
## 9 Switzerland 31332 376 29000 1956 92.6 6.2
## 10 Australia 7521 494 6924 103 92.1 1.4
## 11 Serbia 13092 775 12054 263 92.1 2
## 12 Cuba 2318 110 2123 85 91.6 3.7
## 13 Germany 192480 7741 175825 8914 91.3 4.6
## 14 Slovakia 1589 113 1448 28 91.1 1.8
## 15 Denmark 12761 565 11593 603 90.8 4.7
## 16 Croatia 2366 117 2142 107 90.5 4.5
## 17 Japan 17879 818 16096 965 90 5.4
## 18 Slovenia 1534 49 1376 109 89.7 7.1
## 19 Estonia 1982 142 1771 69 89.4 3.5
## 20 Finland 7155 428 6400 327 89.4 4.6## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 Mauritania 3292 2215 963 114 29.3 3.5
## 2 Ethiopia 4848 3361 1412 75 29.1 1.5
## 3 Somalia 2812 1904 818 90 29.1 3.2
## 4 Argentina 47203 32549 13576 1078 28.8 2.3
## 5 Belgium 60810 34326 16771 9713 27.6 16
## 6 US 2347022 1510931 647548 121228 27.6 5.2
## 7 Egypt 58141 40241 15535 2365 26.7 4.1
## 8 Philippines 31825 22197 8442 1186 26.5 3.7
## 9 Bolivia 26389 19243 6300 846 23.9 3.2
## 10 Nepal 10099 7851 2224 24 22 0.2
## 11 Guatemala 14540 11061 2897 582 19.9 4
## 12 Central African Republic 3051 2492 522 37 17.1 1.2
## 13 Congo (Kinshasa) 6027 5031 861 135 14.3 2.2
## 14 Guinea-Bissau 1556 1346 191 19 12.3 1.2
## 15 South Sudan 1930 1677 217 36 11.2 1.9
## 16 Honduras 13943 12077 1461 405 10.5 2.9
## 17 Haiti 5324 4799 436 89 8.2 1.7
## 18 Netherlands 49930 43630 186 6114 0.4 12.2
## 19 United Kingdom 307682 263341 1330 43011 0.4 14
## 20 Sweden 60837 55676 0 5161 0 8.5## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 Belgium 60810 34326 16771 9713 27.6 16
## 2 France 197804 93086 74995 29723 37.9 15
## 3 Italy 238833 19573 184585 34675 77.3 14.5
## 4 Hungary 4107 934 2600 573 63.3 14
## 5 United Kingdom 307682 263341 1330 43011 0.4 14
## 6 Mexico 191410 24387 143646 23377 75 12.2
## 7 Netherlands 49930 43630 186 6114 0.4 12.2
## 8 Spain 246752 68051 150376 28325 60.9 11.5
## 9 Sweden 60837 55676 0 5161 0 8.5
## 10 Ecuador 51643 22378 24991 4274 48.4 8.3
## 11 Canada 103767 29120 66135 8512 63.7 8.2
## 12 Algeria 12076 2541 8674 861 71.8 7.1
## 13 Slovenia 1534 49 1376 109 89.7 7.1
## 14 Ireland 25391 973 22698 1720 89.4 6.8
## 15 Niger 1051 71 913 67 86.9 6.4
## 16 Romania 24505 5779 17187 1539 70.1 6.3
## 17 Sudan 8889 4642 3699 548 41.6 6.2
## 18 Switzerland 31332 376 29000 1956 92.6 6.2
## 19 Greece 3302 1738 1374 190 41.6 5.8
## 20 Mali 1978 565 1302 111 65.8 5.6## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 Kuwait 41033 8395 32304 334 78.7 0.8
## 2 Saudi Arabia 164144 52913 109885 1346 66.9 0.8
## 3 Venezuela 4187 2825 1327 35 31.7 0.8
## 4 Cote d'Ivoire 7904 4664 3182 58 40.3 0.7
## 5 Ghana 14568 3566 10907 95 74.9 0.7
## 6 Kazakhstan 18765 7117 11514 134 61.4 0.7
## 7 United Arab Emirates 45683 11675 33703 305 73.8 0.7
## 8 Belarus 59487 20442 38688 357 65 0.6
## 9 Guinea 5040 1327 3685 28 73.1 0.6
## 10 Sri Lanka 1991 432 1548 11 77.7 0.6
## 11 Costa Rica 2368 1227 1129 12 47.7 0.5
## 12 Iceland 1824 8 1806 10 99 0.5
## 13 Maldives 2238 417 1813 8 81 0.4
## 14 Oman 32394 14975 17279 140 53.3 0.4
## 15 Bahrain 23062 5545 17450 67 75.7 0.3
## 16 Uzbekistan 6662 2083 4560 19 68.4 0.3
## 17 West Bank and Gaza 1169 724 442 3 37.8 0.3
## 18 Nepal 10099 7851 2224 24 22 0.2
## 19 Qatar 89579 17979 71501 99 79.8 0.1
## 20 Singapore 42432 6411 35995 26 84.8 0.1## # A tibble: 9 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 China 84653 458 79555 4640 94 5.5
## 2 India 456183 183022 258685 14476 56.7 3.2
## 3 Afghanistan 29481 19603 9260 618 31.4 2.1
## 4 Burma 292 82 204 6 69.9 2.1
## 5 Pakistan 188926 107417 77754 3755 41.2 2
## 6 Bangladesh 119198 70018 47635 1545 40 1.3
## 7 Sri Lanka 1991 432 1548 11 77.7 0.6
## 8 Nepal 10099 7851 2224 24 22 0.2
## 9 Bhutan 70 36 34 0 48.6 0Acknowledgment: JHU CCSE repository developers