source('./predict.R')
## [1] "2020-05-04"
## country cum_confirm cum_heal cum_dead inc_rate death_rate
## 1 United States 1191849 178671 68702 2.45 5.76
## 2 Spain 248301 151633 25428 0.48 10.24
## 3 Italy 210717 81654 28884 0.66 13.71
## 4 United Kingdom 186599 1918 28446 1.69 15.24
## 5 France 168693 50784 24895 0.18 14.76
## 6 Germany 166525 136228 7004 0.40 4.21
## 7 Russia 145268 18095 1356 7.86 0.93
## 8 Turkey 126045 63151 3397 1.34 2.70
## 9 Brazil 101826 42991 7051 4.87 6.92
## 10 Iran 98647 79397 6277 1.26 6.36
## 11 China 84403 79043 4643 0.01 5.50
## 12 Canada 59474 24908 3682 2.67 6.19
## 13 Belgium 50267 12378 7924 0.72 15.76
## 14 Peru 45928 13550 1286 7.98 2.80
## 15 India 42836 11782 1395 6.39 3.26
## 16 Netherlands 40770 322 5082 0.49 12.47
## 17 Switzerland 29981 24500 1762 0.25 5.88
## 18 Ecuador 29538 3300 1564 7.55 5.29
## 19 Saudi Arabia 28656 4134 190 6.09 0.66
## 20 Portugal 25524 1712 1063 0.96 4.16
## 21 Mexico 23471 13447 2154 6.26 9.18
## 22 Sweden 22721 1005 2769 1.81 12.19
## 23 Ireland 21506 13386 1303 1.56 6.06
## 24 Pakistan 20186 5590 462 5.67 2.29
## 25 Chile 19663 10041 260 6.66 1.32
## 26 Singapore 18778 1408 18 3.15 0.10
## 27 Belarus 17489 3259 103 4.69 0.59
## 28 Israel 16237 9858 234 0.27 1.44
## 29 Qatar 16191 1810 12 4.12 0.07
## 30 Austria 15621 13316 600 0.15 3.84
## 31 Japan 15253 4496 556 1.17 3.65
## 32 United Arab Emirates 14163 2763 126 0.00 0.89
## 33 Poland 13937 4095 683 1.78 4.90
## 34 Romania 13512 5269 803 2.65 5.94
## 35 Ukraine 12331 1619 303 3.51 2.46
## 36 Indonesia 11587 1954 864 3.53 7.46
## 37 South Korea 10801 9217 252 0.07 2.33
## 38 Bangladesh 10143 1209 182 7.28 1.79
## [1] "Pakistan leading cum_confirm == 0 trimed"
## [1] "Provinces added more than 0 cases in last 1 days:"
## time country province cum_confirm cum_heal cum_dead added
## 1 2020-05-04 China Taiwan 438 334 6 6
## 2 2020-05-04 China Shanghai 655 619 7 2
## 3 2020-05-04 China Shandong 788 773 7 1
## 4 2020-05-04 China Hong Kong 1040 900 4 1