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 2422299 1558389 663562 124410 27.4 5.1
## 2 Brazil 1228114 493619 679524 54971 55.3 4.5
## 3 Russia 613148 229997 374557 8594 61.1 1.4
## 4 India 490401 189463 285637 15301 58.2 3.1
## 5 United Kingdom 309455 264780 1361 43314 0.4 14
## 6 Peru 268602 108616 151225 8761 56.3 3.3
## 7 Chile 259064 34834 219327 4903 84.7 1.9
## 8 Spain 247486 68780 150376 28330 60.8 11.4
## 9 Italy 239706 18303 186725 34678 77.9 14.5
## 10 Iran 215096 29863 175103 10130 81.4 4.7
## 11 Mexico 202951 25529 152362 25060 75.1 12.3
## 12 France 197885 92655 75475 29755 38.1 15
## 13 Pakistan 195745 107615 84168 3962 43 2
## 14 Germany 193371 7667 176764 8940 91.4 4.6
## 15 Turkey 193115 22363 165706 5046 85.8 2.6
## 16 Saudi Arabia 170639 51329 117882 1428 69.1 0.8
## 17 Bangladesh 126606 73490 51495 1621 40.7 1.3
## 18 South Africa 118375 56109 59974 2292 50.7 1.9
## 19 Canada 104463 29027 66869 8567 64 8.2
## 20 Qatar 91838 17188 74544 106 81.2 0.1## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 US 2422299 1558389 663562 124410 27.4 5.1
## 2 Brazil 1228114 493619 679524 54971 55.3 4.5
## 3 United Kingdom 309455 264780 1361 43314 0.4 14
## 4 Russia 613148 229997 374557 8594 61.1 1.4
## 5 India 490401 189463 285637 15301 58.2 3.1
## 6 Peru 268602 108616 151225 8761 56.3 3.3
## 7 Pakistan 195745 107615 84168 3962 43 2
## 8 France 197885 92655 75475 29755 38.1 15
## 9 Bangladesh 126606 73490 51495 1621 40.7 1.3
## 10 Spain 247486 68780 150376 28330 60.8 11.4
## 11 Sweden 63890 58660 0 5230 0 8.2
## 12 South Africa 118375 56109 59974 2292 50.7 1.9
## 13 Saudi Arabia 170639 51329 117882 1428 69.1 0.8
## 14 Netherlands 50122 43817 186 6119 0.4 12.2
## 15 Colombia 77313 42973 31729 2611 41 3.4
## 16 Egypt 61130 42259 16338 2533 26.7 4.1
## 17 Argentina 52457 36519 14788 1150 28.2 2.2
## 18 Chile 259064 34834 219327 4903 84.7 1.9
## 19 Belgium 61007 34391 16890 9726 27.7 15.9
## 20 Iran 215096 29863 175103 10130 81.4 4.7## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 Brazil 1228114 493619 679524 54971 55.3 4.5
## 2 US 2422299 1558389 663562 124410 27.4 5.1
## 3 Russia 613148 229997 374557 8594 61.1 1.4
## 4 India 490401 189463 285637 15301 58.2 3.1
## 5 Chile 259064 34834 219327 4903 84.7 1.9
## 6 Italy 239706 18303 186725 34678 77.9 14.5
## 7 Germany 193371 7667 176764 8940 91.4 4.6
## 8 Iran 215096 29863 175103 10130 81.4 4.7
## 9 Turkey 193115 22363 165706 5046 85.8 2.6
## 10 Mexico 202951 25529 152362 25060 75.1 12.3
## 11 Peru 268602 108616 151225 8761 56.3 3.3
## 12 Spain 247486 68780 150376 28330 60.8 11.4
## 13 Saudi Arabia 170639 51329 117882 1428 69.1 0.8
## 14 Pakistan 195745 107615 84168 3962 43 2
## 15 China 84701 488 79572 4641 93.9 5.5
## 16 France 197885 92655 75475 29755 38.1 15
## 17 Qatar 91838 17188 74544 106 81.2 0.1
## 18 Canada 104463 29027 66869 8567 64 8.2
## 19 South Africa 118375 56109 59974 2292 50.7 1.9
## 20 Bangladesh 126606 73490 51495 1621 40.7 1.3## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 US 2422299 1558389 663562 124410 27.4 5.1
## 2 Brazil 1228114 493619 679524 54971 55.3 4.5
## 3 United Kingdom 309455 264780 1361 43314 0.4 14
## 4 Italy 239706 18303 186725 34678 77.9 14.5
## 5 France 197885 92655 75475 29755 38.1 15
## 6 Spain 247486 68780 150376 28330 60.8 11.4
## 7 Mexico 202951 25529 152362 25060 75.1 12.3
## 8 India 490401 189463 285637 15301 58.2 3.1
## 9 Iran 215096 29863 175103 10130 81.4 4.7
## 10 Belgium 61007 34391 16890 9726 27.7 15.9
## 11 Germany 193371 7667 176764 8940 91.4 4.6
## 12 Peru 268602 108616 151225 8761 56.3 3.3
## 13 Russia 613148 229997 374557 8594 61.1 1.4
## 14 Canada 104463 29027 66869 8567 64 8.2
## 15 Netherlands 50122 43817 186 6119 0.4 12.2
## 16 Sweden 63890 58660 0 5230 0 8.2
## 17 Turkey 193115 22363 165706 5046 85.8 2.6
## 18 Chile 259064 34834 219327 4903 84.7 1.9
## 19 China 84701 488 79572 4641 93.9 5.5
## 20 Ecuador 53156 22716 26097 4343 49.1 8.2## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 Iceland 1830 9 1811 10 99 0.5
## 2 New Zealand 1520 14 1484 22 97.6 1.4
## 3 Malaysia 8600 208 8271 121 96.2 1.4
## 4 Thailand 3158 62 3038 58 96.2 1.8
## 5 Luxembourg 4151 73 3968 110 95.6 2.6
## 6 China 84701 488 79572 4641 93.9 5.5
## 7 Cuba 2321 65 2171 85 93.5 3.7
## 8 Austria 17477 459 16320 698 93.4 4
## 9 Norway 8788 401 8138 249 92.6 2.8
## 10 Switzerland 31428 470 29000 1958 92.3 6.2
## 11 Djibouti 4635 314 4269 52 92.1 1.1
## 12 Finland 7172 245 6600 327 92 4.6
## 13 Ireland 25405 314 23364 1727 92 6.8
## 14 Australia 7595 533 6958 104 91.6 1.4
## 15 Germany 193371 7667 176764 8940 91.4 4.6
## 16 Serbia 13372 954 12154 264 90.9 2
## 17 Denmark 12836 573 11660 603 90.8 4.7
## 18 Estonia 1984 125 1790 69 90.2 3.5
## 19 Japan 18055 942 16142 971 89.4 5.4
## 20 Slovakia 1630 150 1452 28 89.1 1.7## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 Venezuela 4563 3197 1327 39 29.1 0.9
## 2 Benin 1017 715 288 14 28.3 1.4
## 3 Argentina 52457 36519 14788 1150 28.2 2.2
## 4 Belgium 61007 34391 16890 9726 27.7 15.9
## 5 US 2422299 1558389 663562 124410 27.4 5.1
## 6 Philippines 33069 22947 8910 1212 26.9 3.7
## 7 Egypt 61130 42259 16338 2533 26.7 4.1
## 8 Bolivia 28503 20252 7338 913 25.7 3.2
## 9 Equatorial Guinea 2001 1454 515 32 25.7 1.6
## 10 Nepal 11162 8486 2650 26 23.7 0.2
## 11 Guatemala 15619 12047 2949 623 18.9 4
## 12 Central African Republic 3244 2597 607 40 18.7 1.2
## 13 Congo (Kinshasa) 6411 5384 885 142 13.8 2.2
## 14 Guinea-Bissau 1556 1346 191 19 12.3 1.2
## 15 South Sudan 1942 1682 224 36 11.5 1.9
## 16 Honduras 15366 13340 1600 426 10.4 2.8
## 17 Haiti 5543 4935 512 96 9.2 1.7
## 18 Netherlands 50122 43817 186 6119 0.4 12.2
## 19 United Kingdom 309455 264780 1361 43314 0.4 14
## 20 Sweden 63890 58660 0 5230 0 8.2## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 Yemen 1076 402 386 288 35.9 26.8
## 2 Belgium 61007 34391 16890 9726 27.7 15.9
## 3 France 197885 92655 75475 29755 38.1 15
## 4 Italy 239706 18303 186725 34678 77.9 14.5
## 5 Hungary 4123 906 2640 577 64 14
## 6 United Kingdom 309455 264780 1361 43314 0.4 14
## 7 Mexico 202951 25529 152362 25060 75.1 12.3
## 8 Netherlands 50122 43817 186 6119 0.4 12.2
## 9 Spain 247486 68780 150376 28330 60.8 11.4
## 10 Canada 104463 29027 66869 8567 64 8.2
## 11 Ecuador 53156 22716 26097 4343 49.1 8.2
## 12 Sweden 63890 58660 0 5230 0 8.2
## 13 Algeria 12445 2647 8920 878 71.7 7.1
## 14 Slovenia 1547 62 1376 109 88.9 7
## 15 Ireland 25405 314 23364 1727 92 6.8
## 16 Niger 1056 72 917 67 86.8 6.3
## 17 Romania 25286 5815 17906 1565 70.8 6.2
## 18 Sudan 8984 4622 3806 556 42.4 6.2
## 19 Switzerland 31428 470 29000 1958 92.3 6.2
## 20 Greece 3321 1756 1374 191 41.4 5.8## # A tibble: 20 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 Kuwait 42788 9082 33367 339 78 0.8
## 2 Paraguay 1569 580 976 13 62.2 0.8
## 3 Saudi Arabia 170639 51329 117882 1428 69.1 0.8
## 4 Cote d'Ivoire 8334 4787 3487 60 41.8 0.7
## 5 Kazakhstan 19750 7390 12220 140 61.9 0.7
## 6 United Arab Emirates 46563 11090 35165 308 75.5 0.7
## 7 Belarus 60382 18567 41448 367 68.6 0.6
## 8 Ghana 15473 3947 11431 95 73.9 0.6
## 9 Guinea 5174 1284 3861 29 74.6 0.6
## 10 Iceland 1830 9 1811 10 99 0.5
## 11 Sri Lanka 2010 397 1602 11 79.7 0.5
## 12 Costa Rica 2684 1445 1227 12 45.7 0.4
## 13 Maldives 2277 421 1848 8 81.2 0.4
## 14 Oman 34902 16238 18520 144 53.1 0.4
## 15 Bahrain 24081 5509 18501 71 76.8 0.3
## 16 Uzbekistan 7177 2280 4877 20 68 0.3
## 17 Nepal 11162 8486 2650 26 23.7 0.2
## 18 West Bank and Gaza 1382 933 446 3 32.3 0.2
## 19 Qatar 91838 17188 74544 106 81.2 0.1
## 20 Singapore 42736 6106 36604 26 85.7 0.1## # A tibble: 9 x 7
## Country_Region Ccase Acase Rcase Dcase RR DR
## <fct> <int> <int> <int> <int> <dbl> <dbl>
## 1 China 84701 488 79572 4641 93.9 5.5
## 2 India 490401 189463 285637 15301 58.2 3.1
## 3 Afghanistan 30175 19326 10174 675 33.7 2.2
## 4 Burma 293 76 211 6 72 2
## 5 Pakistan 195745 107615 84168 3962 43 2
## 6 Bangladesh 126606 73490 51495 1621 40.7 1.3
## 7 Sri Lanka 2010 397 1602 11 79.7 0.5
## 8 Nepal 11162 8486 2650 26 23.7 0.2
## 9 Bhutan 70 36 34 0 48.6 0Acknowledgment: JHU CCSE repository developers