In [1]:
# COVID 19 Spread Prediction
In [2]:
%sql
show tables
database tableName isTemporary default covid19_spread false default covid_spread false
In [3]:
%sql
select country, date, log(label + 1) as confirmed from covid_spread where date = '2020-04-24' order by label desc limit 10
country date confirmed US 2020-04-24T00:00:00.000+0000 13.676787425838866 Spain 2020-04-24T00:00:00.000+0000 12.300314072603523 Italy 2020-04-24T00:00:00.000+0000 12.154642499673624 France 2020-04-24T00:00:00.000+0000 11.979774122522663 Germany 2020-04-24T00:00:00.000+0000 11.942009438677026 United Kingdom 2020-04-24T00:00:00.000+0000 11.844004613571817 Turkey 2020-04-24T00:00:00.000+0000 11.530676970545883 Iran 2020-04-24T00:00:00.000+0000 11.387305551045577 China 2020-04-24T00:00:00.000+0000 11.33721401321588 Russia 2020-04-24T00:00:00.000+0000 11.136383034489144
In [4]:
%sql
select country, since_100th_confirmed_n_days, label as confirmed from covid19_spread where label > 10000
country since_100th_confirmed_n_days confirmed China 10 11891 China 11 16630 China 12 19716 China 13 23707 China 14 27440 China 15 30587 China 16 34110 China 17 36814 China 18 39829 China 19 42354 China 20 44386 China 21 44759 China 22 59895 China 23 66358 China 24 68413 China 25 70513 China 26 72434 China 27 74211 China 28 74619 China 29 75077 China 30 75550 China 31 77001 China 32 77022 China 33 77241 China 34 77754 China 35 78166 China 36 78600 China 37 78928 China 38 79356 China 39 79932 China 40 80136 China 41 80261 China 42 80386 China 43 80537 China 44 80690 China 45 80770 China 46 80823 China 47 80860 China 48 80887 Italy 16 10149 China 49 80921 Italy 17 12462 China 50 80932 Iran 15 10075 Italy 18 12462 China 51 80945 Iran 16 11364 Italy 19 17660 China 52 80977 Iran 17 12729 Italy 20 21157 China 53 81003 Iran 18 13938 Italy 21 24747 China 54 81033 Iran 19 14991 Italy 22 27980 China 55 81058 Iran 20 16169 Italy 23 31506 Spain 15 11748 China 56 81102 Germany 17 12327 Iran 21 17361 Italy 24 35713 Spain 16 13910 China 57 81156 France 19 10970 Germany 18 15320 Iran 22 18407 Italy 25 41035 Spain 17 17963 US 16 13747 China 58 81250 France 20 12758 Germany 19 19848 Iran 23 19644 Italy 26 47021 Spain 18 20410 US 17 19273 China 59 81305 France 21 14463 Germany 20 22213 Iran 24 20610 Italy 27 53578 Spain 19 25374 US 18 25600 China 60 81435 France 22 16243 Germany 21 24873 Iran 25 21638 Italy 28 59138 Spain 20 28768 US 19 33276 China 61 81498 France 23 20123 Germany 22 29056 Iran 26 23049 Italy 29 63927 Spain 21 35136 US 20 43843 China 62 81591 France 24 22622 Germany 23 32986 Iran 27 24811 Italy 30 69176 Spain 22 39885 US 21 53736 China 63 81661 France 25 25600 Germany 24 37323 Iran 28 27017 Italy 31 74386 Spain 23 49515 Switzerland 20 10897 US 22 65778 China 64 81782 France 26 29551 Germany 25 43938 Iran 29 29406 Italy 32 80589 Spain 24 57786 Switzerland 21 11811 United Kingdom 21 11812 US 23 83836 China 65 81897 France 27 33402 Germany 26 50871 Iran 30 32332 Italy 33 86498 Spain 25 65719 Switzerland 22 12928 United Kingdom 22 14745 US 24 101657 China 66 81999 France 28 38105 Germany 27 57695 Iran 31 35408 Italy 34 92472 Spain 26 73235 Switzerland 23 14076 United Kingdom 23 17312 US 25 121465 Belgium 23 10836 China 67 82122 France 29 40708 Germany 28 62095 Iran 32 38309 Italy 35 97689 Netherlands 23 10930 Spain 27 80110 Switzerland 24 14829 United Kingdom 24 19780 US 26 140909 Belgium 24 11899 China 68 82198 France 30 45170 Germany 29 66885 Iran 33 41495 Italy 36 101739 Netherlands 24 11817 Spain 28 87956 Switzerland 25 15922 Turkey 11 10827 United Kingdom 25 22453 US 27 161831 Austria 23 10180 Belgium 25 12775 China 69 82279 France 31 52827 Germany 30 71808 Iran 34 44605 Italy 37 105792 Netherlands 25 12667 Spain 29 95923 Switzerland 26 16605 Turkey 12 13531 United Kingdom 26 25481 US 28 188172 Austria 24 10711 Belgium 26 13964 China 70 82361 France 32 57749 Germany 31 77872 Iran 35 47593 Italy 38 110574 Netherlands 26 13696 Spain 30 104118 Switzerland 27 17768 Turkey 13 15679 United Kingdom 27 29865 US 29 213242 Austria 25 11129 Belgium 27 15348 Canada 22 11284 China 71 82432 France 33 59929 Germany 32 84794 Iran 36 50468 Italy 39 115242 Netherlands 27 14788 Spain 31 112065 Switzerland 28 18827 Turkey 14 18135 United Kingdom 28 34173 US 30 243622 Austria 26 11524 Belgium 28 16770 Canada 23 12437 China 72 82511 France 34 65202 Germany 33 91159 Iran 37 53183 Italy 40 119827 Netherlands 28 15821 Spain 32 119199 Switzerland 29 19606 Turkey 15 20921 United Kingdom 29 38689 US 31 275367 Austria 27 11781 Belgium 29 18431 Brazil 22 10360 Canada 24 12978 China 73 82543 France 35 69500 Germany 34 96092 Iran 38 55743 Italy 41 124632 Netherlands 29 16727 Portugal 22 10524 Spain 33 126168 Switzerland 30 20505 Turkey 16 23934 United Kingdom 30 42477 US 32 308650 Austria 28 12051 Belgium 30 19691 Brazil 23 11130 Canada 25 15756 China 74 82602 France 36 71412 Germany 35 100123 Iran 39 58226 Italy 42 128948 Netherlands 30 17953 Portugal 23 11278 Spain 34 131646 Switzerland 31 21100 Turkey 17 27069 United Kingdom 31 48436 US 33 336802 Austria 29 12297 Belgium 31 20814 Brazil 24 12161 Canada 26 16563 China 75 82665 France 37 75343 Germany 36 103374 Iran 40 60500 Italy 43 132547 Netherlands 31 18926 Portugal 24 11730 Spain 35 136675 Switzerland 32 21657 Turkey 18 30217 United Kingdom 32 52279 US 34 366317 Austria 30 12639 Belgium 32 22194 Brazil 25 14034 Canada 27 17872 China 76 82718 France 38 79163 Germany 37 107663 Iran 41 62589 Italy 44 135586 Netherlands 32 19709 Portugal 25 12442 Spain 36 141942 Switzerland 33 22253 Turkey 19 34109 United Kingdom 33 55949 US 35 397121 Austria 31 12942 Belgium 33 23403 Brazil 26 16170 Canada 28 19141 China 77 82809 France 39 83057 Germany 38 113296 Iran 42 64586 Italy 45 139422 Netherlands 33 20682 Portugal 26 13141 Spain 37 148220 Switzerland 34 23280 Turkey 20 38226 United Kingdom 34 61474 US 36 428654 Austria 32 13244 Belgium 34 24983 Brazil 27 18092 Canada 29 20654 China 78 82883 France 40 87366 Germany 39 118181 Iran 43 66220 Italy 46 143626 Netherlands 34 21903 Portugal 27 13956 Russia 23 10131 Spain 38 153222 Switzerland 35 24051 Turkey 21 42282 United Kingdom 35 65872 US 37 462780 Austria 33 13555 Belgium 35 26667 Brazil 28 19638 Canada 30 22059 China 79 82941 France 41 91738 Germany 40 122171 Iran 44 68192 Israel 29 10408 Italy 47 147577 Netherlands 35 23249 Portugal 28 15472 Russia 24 11917 Spain 39 158273 Switzerland 36 24551 Turkey 22 47029 United Kingdom 36 74605 US 38 496535 Austria 34 13806 Belgium 36 28018 Brazil 29 20727 Canada 31 23316 China 80 83014 France 42 94863 Germany 41 124908 Iran 45 70029 Israel 30 10743 Italy 48 152271 Netherlands 36 24571 Portugal 29 15987 Russia 25 13584 Spain 40 163027 Sweden 36 10151 Switzerland 37 25107 Turkey 23 52167 United Kingdom 37 79874 US 39 526396 Austria 35 13945 Belgium 37 29647 Brazil 30 22192 Canada 32 24298 China 81 83134 France 43 121712 Germany 42 127854 Iran 46 71686 Israel 31 11145 Italy 49 156363 Netherlands 37 25746 Portugal 30 16585 Russia 26 15770 Spain 41 166831 Sweden 37 10483 Switzerland 38 25415 Turkey 24 56956 United Kingdom 38 85206 US 40 555313 Austria 36 14041 Belgium 38 30589 Brazil 31 23430 Canada 33 25679 China 82 83213 France 44 125394 Germany 43 130072 India 30 10453 Iran 47 73303 Ireland 30 10647 Israel 32 11586 Italy 50 159516 Netherlands 38 26710 Portugal 31 16934 Russia 27 18328 Spain 42 170099 Sweden 38 10948 Switzerland 39 25688 Turkey 25 61049 United Kingdom 39 89570 US 41 580619 Austria 37 14226 Belgium 39 31119 Brazil 32 25262 Canada 34 27034 China 83 83306 France 45 131361 Germany 44 131359 India 31 11487 Iran 48 74877 Ireland 31 11479 Israel 33 12046 Italy 51 162488 Netherlands 39 27580 Peru 28 10303 Portugal 32 17448 Russia 28 21102 Spain 43 172541 Sweden 39 11445 Switzerland 40 25936 Turkey 26 65111 United Kingdom 40 94845 US 42 607670 Austria 38 14336 Belgium 40 33573 Brazil 33 28320 Canada 35 28208 China 84 83356 France 46 134582 Germany 45 134753 India 32 12322 Iran 49 76389 Ireland 32 12547 Israel 34 12501 Italy 52 165155 Netherlands 40 28316 Peru 29 11475 Portugal 33 18091 Russia 29 24490 Spain 44 177644 Sweden 40 11927 Switzerland 41 26336 Turkey 27 69392 United Kingdom 41 99483 US 43 636350 Austria 39 14476 Belgium 41 34809 Brazil 34 30425 Canada 36 30808 China 85 83403 France 47 147091 Germany 46 137698 India 33 13430 Iran 50 77995 Ireland 33 13271 Israel 35 12758 Italy 53 168941 Netherlands 41 29383 Peru 30 12491 Portugal 34 18841 Russia 30 27938 Spain 45 184948 Sweden 41 12540 Switzerland 42 26732 Turkey 28 74193 United Kingdom 42 104145 US 44 667592 Austria 40 14595 Belgium 42 36138 Brazil 35 33682 Canada 37 32813 China 86 83760 France 48 149130 Germany 47 141397 India 34 14352 Iran 51 79494 Ireland 34 13980 Israel 36 12982 Italy 54 172434 Netherlands 42 30619 Peru 31 13489 Portugal 35 19022 Russia 31 32008 Spain 46 190839 Sweden 42 13216 Switzerland 43 27078 Turkey 29 78546 United Kingdom 43 109769 US 45 699706 Austria 41 14671 Belgium 43 37183 Brazil 36 36658 Canada 38 34355 China 87 83787 France 49 149149 Germany 48 143342 India 35 15722 Iran 52 80868 Ireland 35 14758 Israel 37 13265 Italy 55 175925 Japan 57 10296 Netherlands 43 31766 Peru 32 14420 Portugal 36 19685 Russia 32 36793 Spain 47 191726 Sweden 43 13822 Switzerland 44 27404 Turkey 30 82329 United Kingdom 44 115314 US 46 732197 Austria 42 14749 Belgium 44 38496 Brazil 37 38654 Canada 39 35632 Chile 34 10088 China 88 83805 France 50 154097 Germany 49 145184 India 36 17615 Iran 53 82211 Ireland 36 15251 Israel 38 13491 Italy 56 178972 Japan 58 10797 Netherlands 44 32838 Peru 33 15628 Portugal 37 20206 Russia 33 42853 Spain 48 198674 Sweden 44 14385 Switzerland 45 27740 Turkey 31 86306 United Kingdom 45 121172 US 47 758809 Austria 43 14795 Belgium 45 39983 Brazil 38 40743 Canada 40 37657 Chile 35 10507 China 89 83817 Ecuador 33 10128 France 51 156480 Germany 50 147065 India 37 18539 Iran 54 83505 Ireland 37 15652 Israel 39 13713 Italy 57 181228 Japan 59 10797 Netherlands 45 33588 Peru 34 16325 Portugal 38 20863 Russia 34 47121 Saudi Arabia 37 10484 Spain 49 200210 Sweden 45 14777 Switzerland 46 27944 Turkey 32 90980 United Kingdom 46 125856 US 48 784326 Austria 44 14873 Belgium 46 40956 Brazil 39 43079 Canada 41 39401 Chile 36 10832 China 90 83853 Ecuador 34 10398 France 52 159297 Germany 51 148291 India 38 20080 Iran 55 84802 Ireland 38 16040 Israel 40 13942 Italy 58 183957 Japan 60 11135 Netherlands 46 34317 Peru 35 17837 Portugal 39 21379 Russia 35 52763 Saudi Arabia 38 11631 Spain 50 204178 Sweden 46 15322 Switzerland 47 28063 Turkey 33 95591 United Kingdom 47 130172 US 49 811865 Austria 45 14925 Belgium 47 41889 Brazil 40 45757 Canada 42 41648 Chile 37 11296 China 91 83868 Ecuador 35 10850 France 53 157125 Germany 52 150648 India 39 21370 Iran 56 85996 Ireland 39 16671 Israel 41 14498 Italy 59 187327 Japan 61 11512 Netherlands 47 35032 Pakistan 37 10076 Peru 36 19250 Poland 39 10169 Portugal 40 21982 Russia 36 57999 Saudi Arabia 39 12772 Singapore 53 10141 Spain 51 208389 Sweden 47 16004 Switzerland 48 28268 Turkey 34 98674 United Kingdom 48 134638 US 50 840351 Austria 46 15002 Belgium 48 42797 Brazil 41 50036 Canada 43 43285 Chile 38 11812 China 92 83884 Ecuador 36 11183 France 54 159460 Germany 53 153129 India 40 23077 Iran 57 87026 Ireland 40 17607 Israel 42 14803 Italy 60 189973 Japan 62 12368 Mexico 35 11633 Netherlands 48 35921 Pakistan 38 11155 Peru 37 20914 Poland 40 10511 Portugal 41 22353 Romania 40 10096 Russia 37 62773 Saudi Arabia 40 13930 Singapore 54 11178 Spain 52 213024 Sweden 48 16755 Switzerland 49 28496 Turkey 35 101790 United Kingdom 49 139246 US 51 869170 Austria 47 15071 Canada 44 43286 China 93 83885 France 55 159495 Germany 54 153393 Ireland 41 17607 Italy 61 189973 Netherlands 49 36727 Russia 38 68622 Sweden 49 17567 Switzerland 50 28677 United Kingdom 50 139246 US 52 869172 Belgium 49 44293 Brazil 42 50230 Chile 39 11812 Ecuador 37 11183 India 41 23502 Iran 58 88194 Israel 43 14882 Japan 63 12368 Mexico 36 11633 Pakistan 39 11155 Peru 38 20914 Poland 41 10759 Portugal 42 22353 Romania 41 10417 Saudi Arabia 41 13930 Singapore 55 12075 Spain 53 219764 Turkey 36 101790
In [5]:
train_df = spark.sql('select * from covid_spread where date < "2020-04-17"')
test_df = spark.sql('select * from covid_spread where date > "2020-04-18" and date < "2020-04-24"')
today_df = spark.sql('select * from covid_spread where date = "2020-04-24"')
In [6]:
train_df.cache()
test_df.cache()
today_df.cache()
test_df.printSchema()
root
-- country: string (nullable = true)
-- date: timestamp (nullable = true)
-- since_1st_confirmed_n_days: integer (nullable = true)
-- since_100th_confirmed_n_days: integer (nullable = true)
-- since_1st_recovered_n_days: integer (nullable = true)
-- since_100th_recovered_n_days: integer (nullable = true)
-- since_1st_deaths_n_days: integer (nullable = true)
-- since_10th_deaths_n_days: integer (nullable = true)
-- confirmed_n_lag_7d: integer (nullable = true)
-- recovered_n_lag_7d: integer (nullable = true)
-- deaths_n_lag_7d: integer (nullable = true)
-- active_n_lag_7d: integer (nullable = true)
-- confirmed_n_lag_8d: integer (nullable = true)
-- recovered_n_lag_8d: integer (nullable = true)
-- deaths_n_lag_8d: integer (nullable = true)
-- active_n_lag_8d: integer (nullable = true)
-- confirmed_n_lag_9d: integer (nullable = true)
-- recovered_n_lag_9d: integer (nullable = true)
-- deaths_n_lag_9d: integer (nullable = true)
-- active_n_lag_9d: integer (nullable = true)
-- confirmed_n_lag_10d: integer (nullable = true)
-- recovered_n_lag_10d: integer (nullable = true)
-- deaths_n_lag_10d: integer (nullable = true)
-- active_n_lag_10d: integer (nullable = true)
-- label: integer (nullable = true)
In [7]:
test_df.describe().toPandas().transpose()
0
1
2
3
4
summary
count
mean
stddev
min
max
country
534
None
None
Afghanistan
Venezuela
since_1st_confirmed_n_days
534
57.859550561797754
16.153605205912104
29
92
since_100th_confirmed_n_days
534
36.62359550561798
11.221072268079299
12
92
since_1st_recovered_n_days
534
44.29775280898876
16.876088377291232
13
92
since_100th_recovered_n_days
534
18.091760299625467
13.475466119560908
0
86
since_1st_deaths_n_days
534
37.54494382022472
12.482514701027922
14
92
since_10th_deaths_n_days
534
24.0561797752809
14.467814742637621
0
92
confirmed_n_lag_7d
534
21606.026217228464
70034.1288425759
175
667592
recovered_n_lag_7d
534
5209.250936329588
14857.638586293844
0
78401
deaths_n_lag_7d
534
1391.9550561797753
4399.822301742068
1
32930
active_n_lag_7d
534
15004.8202247191
58195.2596243724
56
579959
confirmed_n_lag_8d
534
20690.12734082397
66947.77900875534
171
636350
recovered_n_lag_8d
534
4900.958801498127
14255.344086830975
0
78311
deaths_n_lag_8d
534
1314.870786516854
4141.393151426182
1
28338
active_n_lag_8d
534
14474.297752808989
55870.72603911815
61
555916
confirmed_n_lag_9d
534
19781.361423220973
63879.44863059973
171
607670
recovered_n_lag_9d
534
4609.172284644194
13679.907691046496
0
78200
deaths_n_lag_9d
534
1242.691011235955
3917.1563258417805
1
25843
active_n_lag_9d
534
13929.498127340825
53514.61636699947
61
534064
confirmed_n_lag_10d
534
18861.262172284645
60739.833258487386
167
580619
recovered_n_lag_10d
534
4338.842696629214
13114.625706004928
0
78039
deaths_n_lag_10d
534
1172.4026217228463
3705.6588814486367
1
23538
active_n_lag_10d
534
13350.016853932584
51039.84312623381
70
513599
label
534
27923.219101123595
91582.5821441101
227
869170
In [8]:
display(test_df)
country date since_1st_confirmed_n_days since_100th_confirmed_n_days since_1st_recovered_n_days since_100th_recovered_n_days since_1st_deaths_n_days since_10th_deaths_n_days confirmed_n_lag_7d recovered_n_lag_7d deaths_n_lag_7d active_n_lag_7d confirmed_n_lag_8d recovered_n_lag_8d deaths_n_lag_8d active_n_lag_8d confirmed_n_lag_9d recovered_n_lag_9d deaths_n_lag_9d active_n_lag_9d confirmed_n_lag_10d recovered_n_lag_10d deaths_n_lag_10d active_n_lag_10d label Afghanistan 2020-04-18T00:00:00.000+0000 54 22 33 0 27 12 555 32 18 505 521 32 15 474 484 32 15 437 444 29 14 401 933 Albania 2020-04-18T00:00:00.000+0000 40 26 28 13 38 21 433 197 23 213 416 182 23 211 409 165 23 221 400 154 22 224 548 Algeria 2020-04-18T00:00:00.000+0000 53 28 37 11 37 29 1825 460 275 1090 1761 405 256 1100 1666 347 235 1084 1572 237 205 1130 2534 Andorra 2020-04-18T00:00:00.000+0000 47 27 37 6 27 18 601 71 26 504 601 71 26 504 583 58 25 500 564 52 23 489 704 Argentina 2020-04-18T00:00:00.000+0000 46 29 35 19 41 22 1975 440 83 1452 1975 375 82 1518 1795 365 72 1358 1715 358 63 1294 2758 Armenia 2020-04-18T00:00:00.000+0000 48 30 32 10 23 9 967 173 13 781 937 149 12 776 921 138 10 773 881 114 9 758 1248 Australia 2020-04-18T00:00:00.000+0000 83 39 79 25 48 23 6303 1806 57 4440 6215 1793 54 4368 6108 1472 51 4585 6010 1080 50 4880 6547 Austria 2020-04-18T00:00:00.000+0000 53 41 40 23 37 27 13806 6604 337 6865 13555 6064 319 7172 13244 5240 295 7709 12942 4512 273 8157 14671 Azerbaijan 2020-04-18T00:00:00.000+0000 48 23 38 9 36 8 1058 200 11 847 991 159 10 822 926 101 9 816 822 63 8 751 1373 Bangladesh 2020-04-18T00:00:00.000+0000 41 12 33 0 31 12 482 36 30 416 424 33 27 364 330 33 21 276 218 33 20 165 2144 Belarus 2020-04-18T00:00:00.000+0000 50 19 40 9 18 12 2226 172 23 2031 1981 169 19 1793 1486 139 16 1331 1066 77 13 976 4779 Belgium 2020-04-18T00:00:00.000+0000 74 43 61 28 38 32 28018 5986 3346 18686 26667 5568 3019 18080 24983 5164 2523 17296 23403 4681 2240 16482 37183 Bosnia and Herzegovina 2020-04-18T00:00:00.000+0000 44 27 32 9 28 19 946 139 37 770 901 129 36 736 858 101 35 722 804 79 34 691 1268 Brazil 2020-04-18T00:00:00.000+0000 52 36 33 19 32 29 20727 173 1124 19430 19638 173 1057 18408 18092 173 950 16969 16170 127 819 15224 36658 Bulgaria 2020-04-18T00:00:00.000+0000 41 29 28 3 38 17 661 62 28 571 635 54 25 556 618 48 24 546 593 42 24 527 878 Burkina Faso 2020-04-18T00:00:00.000+0000 39 25 28 12 31 21 484 155 27 302 443 146 24 273 443 146 24 273 414 134 23 257 565 Cameroon 2020-04-18T00:00:00.000+0000 43 20 24 4 24 10 820 98 12 710 820 98 12 710 730 60 10 660 730 60 10 660 1017 Canada 2020-04-18T00:00:00.000+0000 83 38 66 25 40 29 23316 6589 654 16073 22059 5855 557 15647 20654 5162 503 14989 19141 4154 407 14580 34355 Chile 2020-04-18T00:00:00.000+0000 46 33 29 19 27 18 6927 1864 73 4990 6501 1571 65 4865 5972 1274 57 4641 5546 1115 48 4383 9730 China 2020-04-18T00:00:00.000+0000 87 87 87 81 87 87 83014 77877 3343 1794 82941 77791 3340 1810 82883 77679 3339 1865 82809 77567 3337 1905 83787 Colombia 2020-04-18T00:00:00.000+0000 43 30 32 11 27 20 2709 214 100 2395 2473 197 80 2196 2223 174 69 1980 2054 123 54 1877 3439 Cote d'Ivoire 2020-04-18T00:00:00.000+0000 38 22 32 4 20 0 533 58 4 471 444 52 3 389 444 52 3 389 384 48 3 333 801 Croatia 2020-04-18T00:00:00.000+0000 53 30 36 14 30 14 1534 323 21 1190 1495 231 21 1243 1407 219 20 1168 1343 179 19 1145 1832 Cuba 2020-04-18T00:00:00.000+0000 37 21 25 5 31 11 620 77 16 527 564 51 15 498 515 28 15 472 457 27 12 418 986 Czechia 2020-04-18T00:00:00.000+0000 48 36 33 12 27 21 5831 411 129 5291 5732 346 119 5267 5569 301 112 5156 5312 233 99 4980 6606 Denmark 2020-04-18T00:00:00.000+0000 51 39 43 17 35 28 6191 2111 260 3820 6014 1929 247 3838 5830 1883 237 3710 5597 1763 218 3616 7437 Diamond Princess 2020-04-18T00:00:00.000+0000 71 68 59 38 58 25 712 619 11 82 712 619 11 82 712 619 11 82 712 619 11 82 712 Dominican Republic 2020-04-18T00:00:00.000+0000 48 28 25 7 32 24 2759 108 135 2516 2620 98 126 2396 2349 80 118 2151 2111 50 108 1953 4335 Ecuador 2020-04-18T00:00:00.000+0000 48 31 28 14 35 27 7257 411 315 6531 7161 368 297 6496 4965 339 272 4354 4450 140 242 4068 9022 Egypt 2020-04-18T00:00:00.000+0000 64 35 50 23 41 28 1939 426 146 1367 1794 384 135 1275 1699 348 118 1233 1560 305 103 1152 3032 Estonia 2020-04-18T00:00:00.000+0000 51 35 34 5 24 16 1304 93 24 1187 1258 93 24 1141 1207 83 24 1100 1185 72 24 1089 1512 Finland 2020-04-18T00:00:00.000+0000 80 36 66 16 28 20 2905 300 49 2556 2769 300 48 2421 2605 300 42 2263 2487 300 40 2147 3681 France 2020-04-18T00:00:00.000+0000 85 49 66 27 63 42 94863 26663 13851 54349 91738 25195 13215 53328 87366 23413 12228 51725 83057 21452 10887 50718 149149 Germany 2020-04-18T00:00:00.000+0000 82 48 65 31 40 34 124908 57400 2736 64772 122171 53913 2767 65491 118181 52407 2607 63167 113296 46300 2349 64647 143342 Ghana 2020-04-18T00:00:00.000+0000 35 23 23 0 28 0 408 4 8 396 378 4 6 368 378 3 6 369 313 34 6 273 834 Greece 2020-04-18T00:00:00.000+0000 52 36 35 12 38 28 2081 269 93 1719 2011 269 92 1650 1955 269 87 1599 1884 269 83 1532 2235 Hungary 2020-04-18T00:00:00.000+0000 45 28 35 8 34 24 1310 115 85 1110 1190 112 77 1001 980 96 66 818 895 94 58 743 1834 Iceland 2020-04-18T00:00:00.000+0000 50 37 39 21 34 0 1689 841 8 840 1675 751 7 917 1648 688 6 954 1616 633 6 977 1760 India 2020-04-18T00:00:00.000+0000 79 35 62 19 38 26 8446 969 288 7189 7598 774 246 6578 6725 620 226 5879 5916 506 178 5232 15722 Indonesia 2020-04-18T00:00:00.000+0000 47 34 39 17 38 31 3842 286 327 3229 3512 282 306 2924 3293 252 280 2761 2956 222 240 2494 6248 Iran 2020-04-18T00:00:00.000+0000 59 52 52 49 59 54 70029 41947 4357 23725 68192 35465 4232 28495 66220 32309 4110 29801 64586 29812 3993 30781 80868 Iraq 2020-04-18T00:00:00.000+0000 54 36 40 24 45 35 1318 601 72 645 1279 550 70 659 1232 496 69 667 1202 452 69 681 1513 Ireland 2020-04-18T00:00:00.000+0000 49 35 32 0 38 23 8928 25 320 8583 8089 25 287 7777 6574 25 263 6286 6074 25 235 5814 14758 Israel 2020-04-18T00:00:00.000+0000 57 37 51 20 28 22 10743 1341 101 9301 10408 1183 95 9130 9968 1011 86 8871 9404 801 73 8530 13265 Italy 2020-04-18T00:00:00.000+0000 78 55 56 47 57 53 152271 32534 19468 100269 147577 30455 18849 98273 143626 28470 18279 96877 139422 26491 17669 95262 175925 Japan 2020-04-18T00:00:00.000+0000 87 57 83 39 65 40 6005 762 99 5144 5530 685 99 4746 4667 632 94 3941 4257 622 93 3542 10296 Kazakhstan 2020-04-18T00:00:00.000+0000 36 23 23 5 29 8 865 81 10 774 812 64 10 738 781 60 8 713 727 54 7 666 1615 Korea, South 2020-04-18T00:00:00.000+0000 87 58 71 43 58 53 10480 7243 211 3026 10450 7117 208 3125 10423 6973 204 3246 10384 6776 200 3408 10653 Kuwait 2020-04-18T00:00:00.000+0000 54 35 41 12 14 0 1154 133 1 1020 993 123 1 869 910 111 1 798 855 111 1 743 1751 Latvia 2020-04-18T00:00:00.000+0000 47 29 39 0 15 0 630 16 3 611 612 16 3 593 589 16 3 570 577 16 2 559 712 Lebanon 2020-04-18T00:00:00.000+0000 57 34 45 0 39 20 619 77 20 522 609 76 20 513 582 67 19 496 576 62 19 495 672 Lithuania 2020-04-18T00:00:00.000+0000 50 27 34 5 28 14 1026 54 23 949 999 54 22 923 955 8 16 931 912 8 15 889 1239 Luxembourg 2020-04-18T00:00:00.000+0000 49 32 27 15 35 22 3270 500 62 2708 3223 500 54 2669 3115 500 52 2563 3034 500 46 2488 3537 Malaysia 2020-04-18T00:00:00.000+0000 84 40 71 28 32 27 4530 1995 73 2462 4346 1830 70 2446 4228 1608 67 2553 4119 1487 65 2567 5305 Mexico 2020-04-18T00:00:00.000+0000 50 30 46 15 30 21 3844 633 233 2978 3441 633 194 2614 3181 633 174 2374 2785 633 141 2011 6875 Moldova 2020-04-18T00:00:00.000+0000 41 26 32 5 31 14 1560 75 30 1455 1438 56 29 1353 1289 50 29 1210 1174 40 27 1107 2378 Morocco 2020-04-18T00:00:00.000+0000 47 27 36 9 39 23 1545 146 111 1288 1448 122 107 1219 1374 109 97 1168 1275 97 93 1085 2685 Netherlands 2020-04-18T00:00:00.000+0000 51 43 35 20 43 36 24571 291 2653 21627 23249 287 2520 20442 21903 278 2403 19222 20682 272 2255 18155 31766 New Zealand 2020-04-18T00:00:00.000+0000 50 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7598 774 246 6578 6725 620 226 5879 17615 Indonesia 2020-04-19T00:00:00.000+0000 48 35 40 18 39 32 4241 359 373 3509 3842 286 327 3229 3512 282 306 2924 3293 252 280 2761 6575 Iran 2020-04-19T00:00:00.000+0000 60 53 53 50 60 55 71686 43894 4474 23318 70029 41947 4357 23725 68192 35465 4232 28495 66220 32309 4110 29801 82211 Iraq 2020-04-19T00:00:00.000+0000 55 37 41 25 46 36 1352 640 76 636 1318 601 72 645 1279 550 70 659 1232 496 69 667 1539 Ireland 2020-04-19T00:00:00.000+0000 50 36 33 0 39 24 9655 25 334 9296 8928 25 320 8583 8089 25 287 7777 6574 25 263 6286 15251 Israel 2020-04-19T00:00:00.000+0000 58 38 52 21 29 23 11145 1627 103 9415 10743 1341 101 9301 10408 1183 95 9130 9968 1011 86 8871 13491 Italy 2020-04-19T00:00:00.000+0000 79 56 57 48 58 54 156363 34211 19899 102253 152271 32534 19468 100269 147577 30455 18849 98273 143626 28470 18279 96877 178972 Japan 2020-04-19T00:00:00.000+0000 88 58 84 40 66 41 6748 762 108 5878 6005 762 99 5144 5530 685 99 4746 4667 632 94 3941 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53913 2767 65491 147065 Ghana 2020-04-20T00:00:00.000+0000 37 25 25 0 30 0 566 4 8 554 566 4 8 554 408 4 8 396 378 4 6 368 1042 Greece 2020-04-20T00:00:00.000+0000 54 38 37 14 40 30 2145 269 99 1777 2114 269 98 1747 2081 269 93 1719 2011 269 92 1650 2245 Hungary 2020-04-20T00:00:00.000+0000 47 30 37 10 36 26 1458 120 109 1229 1410 118 99 1193 1310 115 85 1110 1190 112 77 1001 1984 Iceland 2020-04-20T00:00:00.000+0000 52 39 41 23 36 0 1711 933 8 770 1701 889 8 804 1689 841 8 840 1675 751 7 917 1773 India 2020-04-20T00:00:00.000+0000 81 37 64 21 40 28 10453 1181 358 8914 9205 1080 331 7794 8446 969 288 7189 7598 774 246 6578 18539 Indonesia 2020-04-20T00:00:00.000+0000 49 36 41 19 40 33 4557 380 399 3778 4241 359 373 3509 3842 286 327 3229 3512 282 306 2924 6760 Iran 2020-04-20T00:00:00.000+0000 61 54 54 51 61 56 73303 45983 4585 22735 71686 43894 4474 23318 70029 41947 4357 23725 68192 35465 4232 28495 83505 Iraq 2020-04-20T00:00:00.000+0000 56 38 42 26 47 37 1378 717 78 583 1352 640 76 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1193 1310 115 85 1110 2098 Iceland 2020-04-21T00:00:00.000+0000 53 40 42 24 37 1 1720 989 8 723 1711 933 8 770 1701 889 8 804 1689 841 8 840 1778 India 2020-04-21T00:00:00.000+0000 82 38 65 22 41 29 11487 1359 393 9735 10453 1181 358 8914 9205 1080 331 7794 8446 969 288 7189 20080 Indonesia 2020-04-21T00:00:00.000+0000 50 37 42 20 41 34 4839 426 459 3954 4557 380 399 3778 4241 359 373 3509 3842 286 327 3229 7135 Iran 2020-04-21T00:00:00.000+0000 62 55 55 52 62 57 74877 48129 4683 22065 73303 45983 4585 22735 71686 43894 4474 23318 70029 41947 4357 23725 84802 Iraq 2020-04-21T00:00:00.000+0000 57 39 43 27 48 38 1400 766 78 556 1378 717 78 583 1352 640 76 636 1318 601 72 645 1602 Ireland 2020-04-21T00:00:00.000+0000 52 38 35 0 41 26 11479 25 406 11048 10647 25 365 10257 9655 25 334 9296 8928 25 320 8583 16040 Israel 2020-04-21T00:00:00.000+0000 60 40 54 23 31 25 12046 2195 123 9728 11586 1855 116 9615 11145 1627 103 9415 10743 1341 101 9301 13942 Italy 2020-04-21T00:00:00.000+0000 81 58 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75 12 442 491 41 11 439 657 Nigeria 2020-04-21T00:00:00.000+0000 53 23 34 6 29 10 373 99 11 263 343 91 10 242 323 85 10 228 318 70 10 238 665 North Macedonia 2020-04-21T00:00:00.000+0000 55 30 39 5 30 20 908 86 44 778 854 44 38 772 828 41 34 753 760 41 34 685 1231 Pakistan 2020-04-21T00:00:00.000+0000 55 36 44 19 33 25 5837 1378 96 4363 5496 1095 93 4308 5230 1028 91 4111 5011 762 86 4163 9565 Panama 2020-04-21T00:00:00.000+0000 42 33 28 3 41 24 3472 61 94 3317 3400 29 87 3284 3234 23 79 3132 2974 17 74 2883 4658 Peru 2020-04-21T00:00:00.000+0000 46 35 35 21 32 25 10303 2869 230 7204 9784 2642 216 6926 7519 1798 193 5528 6848 1739 181 4928 17837 Philippines 2020-04-21T00:00:00.000+0000 82 38 69 12 79 37 5223 295 335 4593 4932 242 315 4375 4648 197 297 4154 4428 157 247 4024 6599 Poland 2020-04-21T00:00:00.000+0000 48 38 36 17 40 28 7202 618 263 6321 6934 487 245 6202 6674 439 232 6003 6356 375 208 5773 9856 Portugal 2020-04-21T00:00:00.000+0000 50 39 39 15 35 31 17448 347 567 16534 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2020-04-22T00:00:00.000+0000 51 38 43 21 42 35 5136 446 469 4221 4839 426 459 3954 4557 380 399 3778 4241 359 373 3509 7418 Iran 2020-04-22T00:00:00.000+0000 63 56 56 53 63 58 76389 49933 4777 21679 74877 48129 4683 22065 73303 45983 4585 22735 71686 43894 4474 23318 85996 Iraq 2020-04-22T00:00:00.000+0000 58 40 44 28 49 39 1415 812 79 524 1400 766 78 556 1378 717 78 583 1352 640 76 636 1631 Ireland 2020-04-22T00:00:00.000+0000 53 39 36 1 42 27 12547 77 444 12026 11479 25 406 11048 10647 25 365 10257 9655 25 334 9296 16671 Israel 2020-04-22T00:00:00.000+0000 61 41 55 24 32 26 12501 2563 130 9808 12046 2195 123 9728 11586 1855 116 9615 11145 1627 103 9415 14498 Italy 2020-04-22T00:00:00.000+0000 82 59 60 51 61 57 165155 38092 21645 105418 162488 37130 21067 104291 159516 35435 20465 103616 156363 34211 19899 102253 187327 Japan 2020-04-22T00:00:00.000+0000 91 61 87 43 69 44 8100 853 146 7101 7645 799 143 6703 7370 784 123 6463 6748 762 108 5878 11512 Kazakhstan 2020-04-22T00:00:00.000+0000 40 27 27 9 33 12 1295 240 16 1039 1232 203 14 1015 1091 138 12 941 951 99 10 842 2135 Korea, South 2020-04-22T00:00:00.000+0000 91 62 75 47 62 57 10591 7616 225 2750 10564 7534 222 2808 10537 7447 217 2873 10512 7368 214 2930 10694 Kuwait 2020-04-22T00:00:00.000+0000 58 39 45 16 18 1 1405 206 3 1196 1355 176 3 1176 1300 150 2 1148 1234 142 1 1091 2248 Latvia 2020-04-22T00:00:00.000+0000 51 33 43 1 19 0 666 44 5 617 657 16 5 636 655 16 5 634 651 16 5 630 761 Lebanon 2020-04-22T00:00:00.000+0000 61 38 49 3 43 24 658 85 21 552 641 80 21 540 632 80 20 532 630 80 20 530 682 Lithuania 2020-04-22T00:00:00.000+0000 54 31 38 9 32 18 1091 138 30 923 1070 101 29 940 1062 101 24 937 1053 97 23 933 1370 Luxembourg 2020-04-22T00:00:00.000+0000 53 36 31 19 39 26 3373 526 69 2778 3307 500 67 2740 3292 500 69 2723 3281 500 66 2715 3654 Malaysia 2020-04-22T00:00:00.000+0000 88 44 75 32 36 31 5072 2647 83 2342 4987 2478 82 2427 4817 2276 77 2464 4683 2108 76 2499 5532 Mexico 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Germany 2020-04-23T00:00:00.000+0000 87 53 70 36 45 39 137698 77000 4052 56646 134753 72600 3804 58349 131359 68200 3294 59865 130072 64300 3194 62578 153129 Ghana 2020-04-23T00:00:00.000+0000 40 28 28 0 33 0 641 83 8 550 636 17 8 611 636 17 8 611 566 4 8 554 1154 Greece 2020-04-23T00:00:00.000+0000 57 41 40 17 43 33 2207 269 105 1833 2192 269 102 1821 2170 269 101 1800 2145 269 99 1777 2463 Hungary 2020-04-23T00:00:00.000+0000 50 33 40 13 39 29 1652 199 142 1311 1579 192 134 1253 1512 122 122 1268 1458 120 109 1229 2284 Iceland 2020-04-23T00:00:00.000+0000 55 42 44 26 39 3 1739 1144 8 587 1727 1077 8 642 1720 989 8 723 1711 933 8 770 1789 India 2020-04-23T00:00:00.000+0000 84 40 67 24 43 31 13430 1768 448 11214 12322 1432 405 10485 11487 1359 393 9735 10453 1181 358 8914 23077 Indonesia 2020-04-23T00:00:00.000+0000 52 39 44 22 43 36 5516 548 496 4472 5136 446 469 4221 4839 426 459 3954 4557 380 399 3778 7775 Iran 2020-04-23T00:00:00.000+0000 64 57 57 54 64 59 77995 52229 4869 20897 76389 49933 4777 21679 74877 48129 4683 22065 73303 45983 4585 22735 87026 Iraq 2020-04-23T00:00:00.000+0000 59 41 45 29 50 40 1434 856 80 498 1415 812 79 524 1400 766 78 556 1378 717 78 583 1677 Ireland 2020-04-23T00:00:00.000+0000 54 40 37 2 43 28 13271 77 486 12708 12547 77 444 12026 11479 25 406 11048 10647 25 365 10257 17607 Israel 2020-04-23T00:00:00.000+0000 62 42 56 25 33 27 12758 2818 142 9798 12501 2563 130 9808 12046 2195 123 9728 11586 1855 116 9615 14803 Italy 2020-04-23T00:00:00.000+0000 83 60 61 52 62 58 168941 40164 22170 106607 165155 38092 21645 105418 162488 37130 21067 104291 159516 35435 20465 103616 189973 Japan 2020-04-23T00:00:00.000+0000 92 62 88 44 70 45 8626 901 178 7547 8100 853 146 7101 7645 799 143 6703 7370 784 123 6463 12368 Kazakhstan 2020-04-23T00:00:00.000+0000 41 28 28 10 34 13 1402 277 17 1108 1295 240 16 1039 1232 203 14 1015 1091 138 12 941 2289 Korea, South 2020-04-23T00:00:00.000+0000 92 63 76 48 63 58 10613 7757 229 2627 10591 7616 225 2750 10564 7534 222 2808 10537 7447 217 2873 10708 Kuwait 2020-04-23T00:00:00.000+0000 59 40 46 17 19 2 1524 225 3 1296 1405 206 3 1196 1355 176 3 1176 1300 150 2 1148 2399 Latvia 2020-04-23T00:00:00.000+0000 52 34 44 2 20 1 675 57 5 613 666 44 5 617 657 16 5 636 655 16 5 634 778 Lebanon 2020-04-23T00:00:00.000+0000 62 39 50 4 44 25 663 86 21 556 658 85 21 552 641 80 21 540 632 80 20 532 688 Lithuania 2020-04-23T00:00:00.000+0000 55 32 39 10 33 19 1128 178 32 918 1091 138 30 923 1070 101 29 940 1062 101 24 937 1398 Luxembourg 2020-04-23T00:00:00.000+0000 54 37 32 20 40 27 3444 552 69 2823 3373 526 69 2778 3307 500 67 2740 3292 500 69 2723 3665 Malaysia 2020-04-23T00:00:00.000+0000 89 45 76 33 37 32 5182 2766 84 2332 5072 2647 83 2342 4987 2478 82 2427 4817 2276 77 2464 5603 Mexico 2020-04-23T00:00:00.000+0000 55 35 51 20 35 26 5847 2125 449 3273 5399 2125 406 2868 5014 1964 332 2718 4661 1843 296 2522 11633 Moldova 2020-04-23T00:00:00.000+0000 46 31 37 10 36 19 2154 235 54 1865 2049 171 46 1832 1934 134 40 1760 1712 107 35 1570 2926 Morocco 2020-04-23T00:00:00.000+0000 52 32 41 14 44 28 2283 249 130 1904 2024 229 127 1668 1888 217 126 1545 1763 203 126 1434 3568 Netherlands 2020-04-23T00:00:00.000+0000 56 48 40 25 48 41 29383 311 3327 25745 28316 304 3145 24867 27580 297 2955 24328 26710 295 2833 23582 35921 New Zealand 2020-04-23T00:00:00.000+0000 55 32 30 20 25 6 1401 770 9 622 1386 728 9 649 1366 628 9 729 1349 546 5 798 1456 Niger 2020-04-23T00:00:00.000+0000 34 20 18 6 29 18 584 90 14 480 584 90 14 480 570 90 14 466 529 75 12 442 671 Nigeria 2020-04-23T00:00:00.000+0000 55 25 36 8 31 12 442 152 13 277 407 128 12 267 373 99 11 263 343 91 10 242 981 North Macedonia 2020-04-23T00:00:00.000+0000 57 32 41 7 32 22 1081 121 46 914 974 98 45 831 908 86 44 778 854 44 38 772 1300 Pakistan 2020-04-23T00:00:00.000+0000 57 38 46 21 35 27 6919 1645 128 5146 6383 1446 111 4826 5837 1378 96 4363 5496 1095 93 4308 11155 Panama 2020-04-23T00:00:00.000+0000 44 35 30 5 43 26 3751 75 103 3573 3574 72 95 3407 3472 61 94 3317 3400 29 87 3284 5166 Peru 2020-04-23T00:00:00.000+0000 48 37 37 23 34 27 12491 6120 274 6097 11475 3108 254 8113 10303 2869 230 7204 9784 2642 216 6926 20914 Philippines 2020-04-23T00:00:00.000+0000 84 40 71 14 81 39 5660 435 362 4863 5453 353 349 4751 5223 295 335 4593 4932 242 315 4375 6981 Poland 2020-04-23T00:00:00.000+0000 50 40 38 19 42 30 7918 774 314 6830 7582 668 286 6628 7202 618 263 6321 6934 487 245 6202 10511 Portugal 2020-04-23T00:00:00.000+0000 52 41 41 17 37 33 18841 493 629 17719 18091 383 599 17109 17448 347 567 16534 16934 277 535 16122 22353 Qatar 2020-04-23T00:00:00.000+0000 54 43 40 19 26 1 4103 415 7 3681 3711 406 7 3298 3428 373 7 3048 3231 334 7 2890 7764 Romania 2020-04-23T00:00:00.000+0000 57 40 50 27 32 30 7707 1357 392 5958 7216 1217 372 5627 6879 1051 351 5477 6633 914 331 5388 10096 Russia 2020-04-23T00:00:00.000+0000 83 37 71 23 35 23 27938 2304 232 25402 24490 1986 198 22306 21102 1694 170 19238 18328 1470 148 16710 62773 Saudi Arabia 2020-04-23T00:00:00.000+0000 52 40 44 24 30 23 6380 990 83 5307 5862 931 79 4852 5369 889 73 4407 4934 805 65 4064 13930 Serbia 2020-04-23T00:00:00.000+0000 48 35 38 6 34 26 5318 0 103 5215 4873 0 99 4774 4465 0 94 4371 4054 0 85 3969 6630 Singapore 2020-04-23T00:00:00.000+0000 91 54 75 40 33 9 4427 683 10 3734 3699 652 10 3037 3252 611 10 2631 2918 586 9 2323 11178 Slovakia 2020-04-23T00:00:00.000+0000 48 36 32 10 36 5 977 167 8 802 863 151 6 706 835 113 2 720 769 107 2 660 1325 Slovenia 2020-04-23T00:00:00.000+0000 49 41 29 17 40 25 1268 174 61 1033 1248 165 61 1022 1220 152 56 1012 1212 152 55 1005 1366 South Africa 2020-04-23T00:00:00.000+0000 49 36 30 13 27 18 2605 903 48 1654 2506 410 34 2062 2415 410 27 1978 2272 410 27 1835 3953 Spain 2020-04-23T00:00:00.000+0000 82 52 68 43 51 47 184948 74797 19315 90836 177644 70853 18708 88083 172541 67504 18056 86981 170099 64727 17756 87616 213024 Sweden 2020-04-23T00:00:00.000+0000 83 48 45 22 43 36 12540 550 1333 10657 11927 381 1203 10343 11445 381 1033 10031 10948 381 919 9648 16755 Switzerland 2020-04-23T00:00:00.000+0000 58 49 51 32 49 41 26732 15900 1281 9551 26336 15400 1239 9697 25936 13700 1174 11062 25688 13700 1138 10850 28496 Thailand 2020-04-23T00:00:00.000+0000 92 39 88 24 53 23 2672 1593 46 1033 2643 1497 43 1103 2613 1405 41 1167 2579 1288 40 1251 2839 Tunisia 2020-04-23T00:00:00.000+0000 50 30 32 3 35 23 822 43 37 742 780 43 35 702 747 43 34 670 726 43 34 649 918 Turkey 2020-04-23T00:00:00.000+0000 43 35 29 25 37 32 74193 7089 1643 65461 69392 5674 1518 62200 65111 4799 1403 58909 61049 3957 1296 55796 101790 Ukraine 2020-04-23T00:00:00.000+0000 51 29 33 9 41 25 4161 186 116 3859 3764 143 108 3513 3372 119 98 3155 3102 97 93 2912 7170 United Arab Emirates 2020-04-23T00:00:00.000+0000 85 36 71 20 34 19 5825 1095 35 4695 5365 1034 33 4298 4933 933 28 3972 4521 852 25 3644 8756 United Kingdom 2020-04-23T00:00:00.000+0000 83 49 71 30 49 40 104145 375 13759 90011 99483 368 12894 86221 94845 323 12129 82393 89570 304 11347 77919 139246 Uruguay 2020-04-23T00:00:00.000+0000 40 33 23 17 25 4 502 286 9 207 492 260 8 224 483 248 8 227 480 231 8 241 557 US 2020-04-23T00:00:00.000+0000 92 51 74 36 54 50 667592 54703 32930 579959 636350 52096 28338 555916 607670 47763 25843 534064 580619 43482 23538 513599 869170 Venezuela 2020-04-23T00:00:00.000+0000 40 28 32 10 27 2 204 111 9 84 197 111 9 77 189 110 9 70 189 110 9 70 311
In [9]:
from pyspark.ml.feature import VectorAssembler
features_cols = test_df.columns[2:-1]
features_vector = VectorAssembler(inputCols = features_cols, outputCol = 'features')
train = features_vector.transform(train_df)
train = train.select(['features', 'label'])
test = features_vector.transform(test_df)
test = test.select(['features', 'label'])
today = features_vector.transform(today_df)
today = today.select(['features', 'label'])
test.show(10)
+--------------------+-----+
features|label|
+--------------------+-----+
[54.0,22.0,33.0,0...| 933|
[40.0,26.0,28.0,1...| 548|
[53.0,28.0,37.0,1...| 2534|
[47.0,27.0,37.0,6...| 704|
[46.0,29.0,35.0,1...| 2758|
[48.0,30.0,32.0,1...| 1248|
[83.0,39.0,79.0,2...| 6547|
[53.0,41.0,40.0,2...|14671|
[48.0,23.0,38.0,9...| 1373|
[41.0,12.0,33.0,0...| 2144|
+--------------------+-----+
only showing top 10 rows
In [10]:
from pyspark.ml.regression import LinearRegression
lr = LinearRegression(maxIter=100, regParam=0.3, elasticNetParam=0.8)
lr_model = lr.fit(train)
print("Coefficients: " + str(lr_model.coefficients))
print("Intercept: " + str(lr_model.intercept))
print("RMSE: %f" % lr_model.summary.rootMeanSquaredError)
print("r2: %f" % lr_model.summary.r2)
Coefficients: [72.14881679528347,-97.1000567609742,5.253700076556317,-91.24869553515363,-110.79457149485029,337.14120676397175,1.046288902882675,0.019301947969223587,1.818955408854189,1.6869447449332695,0.17826526169666312,0.05898784697029512,0.36023297279203886,0.3719945910267039,0.0977350439383584,0.14161787668980905,1.0770622733263264,0.2724406170968765,-0.7136853950567289,0.17787198391025982,-4.046825044255584,-1.7499905256718378]
Intercept: -419.70270800065646
RMSE: 3559.367598
r2: 0.983878
In [11]:
test_result = lr_model.evaluate(test)
print("RMSE on test data = %g" % test_result.rootMeanSquaredError)
print("R2 on test data = %g" % test_result.r2)
RMSE on test data = 7756.75
R2 on test data = 0.992813
In [12]:
pred = lr_model.transform(test)
display(pred)
features label prediction List(1, 22, List(), List(54.0, 22.0, 33.0, 0.0, 27.0, 12.0, 555.0, 32.0, 18.0, 505.0, 521.0, 32.0, 15.0, 474.0, 484.0, 32.0, 15.0, 437.0, 444.0, 29.0, 14.0, 401.0)) 933 3427.1225815131 List(1, 22, List(), List(40.0, 26.0, 28.0, 13.0, 38.0, 21.0, 433.0, 197.0, 23.0, 213.0, 416.0, 182.0, 23.0, 211.0, 409.0, 165.0, 23.0, 221.0, 400.0, 154.0, 22.0, 224.0)) 548 2211.17430138375 List(1, 22, List(), List(53.0, 28.0, 37.0, 11.0, 37.0, 29.0, 1825.0, 460.0, 275.0, 1090.0, 1761.0, 405.0, 256.0, 1100.0, 1666.0, 347.0, 235.0, 1084.0, 1572.0, 237.0, 205.0, 1130.0)) 2534 7523.854684560882 List(1, 22, List(), List(47.0, 27.0, 37.0, 6.0, 27.0, 18.0, 601.0, 71.0, 26.0, 504.0, 601.0, 71.0, 26.0, 504.0, 583.0, 58.0, 25.0, 500.0, 564.0, 52.0, 23.0, 489.0)) 704 3795.7017915686756 List(1, 22, List(), List(46.0, 29.0, 35.0, 19.0, 41.0, 22.0, 1975.0, 440.0, 83.0, 1452.0, 1975.0, 375.0, 82.0, 1518.0, 1795.0, 365.0, 72.0, 1358.0, 1715.0, 358.0, 63.0, 1294.0)) 2758 4046.5941301025105 List(1, 22, List(), List(48.0, 30.0, 32.0, 10.0, 23.0, 9.0, 967.0, 173.0, 13.0, 781.0, 937.0, 149.0, 12.0, 776.0, 921.0, 138.0, 10.0, 773.0, 881.0, 114.0, 9.0, 758.0)) 1248 1056.6619603117717 List(1, 22, List(), List(83.0, 39.0, 79.0, 25.0, 48.0, 23.0, 6303.0, 1806.0, 57.0, 4440.0, 6215.0, 1793.0, 54.0, 4368.0, 6108.0, 1472.0, 51.0, 4585.0, 6010.0, 1080.0, 50.0, 4880.0)) 6547 8703.077346758262 List(1, 22, List(), List(53.0, 41.0, 40.0, 23.0, 37.0, 27.0, 13806.0, 6604.0, 337.0, 6865.0, 13555.0, 6064.0, 319.0, 7172.0, 13244.0, 5240.0, 295.0, 7709.0, 12942.0, 4512.0, 273.0, 8157.0)) 14671 15502.314191046215 List(1, 22, List(), List(48.0, 23.0, 38.0, 9.0, 36.0, 8.0, 1058.0, 200.0, 11.0, 847.0, 991.0, 159.0, 10.0, 822.0, 926.0, 101.0, 9.0, 816.0, 822.0, 63.0, 8.0, 751.0)) 1373 366.9234142812945 List(1, 22, List(), List(41.0, 12.0, 33.0, 0.0, 31.0, 12.0, 482.0, 36.0, 30.0, 416.0, 424.0, 33.0, 27.0, 364.0, 330.0, 33.0, 21.0, 276.0, 218.0, 33.0, 20.0, 165.0)) 2144 3256.9794498253723 List(1, 22, List(), List(50.0, 19.0, 40.0, 9.0, 18.0, 12.0, 2226.0, 172.0, 23.0, 2031.0, 1981.0, 169.0, 19.0, 1793.0, 1486.0, 139.0, 16.0, 1331.0, 1066.0, 77.0, 13.0, 976.0)) 4779 7657.540583675919 List(1, 22, List(), List(74.0, 43.0, 61.0, 28.0, 38.0, 32.0, 28018.0, 5986.0, 3346.0, 18686.0, 26667.0, 5568.0, 3019.0, 18080.0, 24983.0, 5164.0, 2523.0, 17296.0, 23403.0, 4681.0, 2240.0, 16482.0)) 37183 41846.83014279772 List(1, 22, List(), List(44.0, 27.0, 32.0, 9.0, 28.0, 19.0, 946.0, 139.0, 37.0, 770.0, 901.0, 129.0, 36.0, 736.0, 858.0, 101.0, 35.0, 722.0, 804.0, 79.0, 34.0, 691.0)) 1268 4023.1353861380903 List(1, 22, List(), List(52.0, 36.0, 33.0, 19.0, 32.0, 29.0, 20727.0, 173.0, 1124.0, 19430.0, 19638.0, 173.0, 1057.0, 18408.0, 18092.0, 173.0, 950.0, 16969.0, 16170.0, 127.0, 819.0, 15224.0)) 36658 37723.849437469435 List(1, 22, List(), List(41.0, 29.0, 28.0, 3.0, 38.0, 17.0, 661.0, 62.0, 28.0, 571.0, 635.0, 54.0, 25.0, 556.0, 618.0, 48.0, 24.0, 546.0, 593.0, 42.0, 24.0, 527.0)) 878 1962.9362991819594 List(1, 22, List(), List(39.0, 25.0, 28.0, 12.0, 31.0, 21.0, 484.0, 155.0, 27.0, 302.0, 443.0, 146.0, 24.0, 273.0, 443.0, 146.0, 24.0, 273.0, 414.0, 134.0, 23.0, 257.0)) 565 3279.544369305395 List(1, 22, List(), List(43.0, 20.0, 24.0, 4.0, 24.0, 10.0, 820.0, 98.0, 12.0, 710.0, 820.0, 98.0, 12.0, 710.0, 730.0, 60.0, 10.0, 660.0, 730.0, 60.0, 10.0, 660.0)) 1017 2278.580722358389 List(1, 22, List(), List(83.0, 38.0, 66.0, 25.0, 40.0, 29.0, 23316.0, 6589.0, 654.0, 16073.0, 22059.0, 5855.0, 557.0, 15647.0, 20654.0, 5162.0, 503.0, 14989.0, 19141.0, 4154.0, 407.0, 14580.0)) 34355 35706.30881022723 List(1, 22, List(), List(46.0, 33.0, 29.0, 19.0, 27.0, 18.0, 6927.0, 1864.0, 73.0, 4990.0, 6501.0, 1571.0, 65.0, 4865.0, 5972.0, 1274.0, 57.0, 4641.0, 5546.0, 1115.0, 48.0, 4383.0)) 9730 10575.218951476294 List(1, 22, List(), List(87.0, 87.0, 87.0, 81.0, 87.0, 87.0, 83014.0, 77877.0, 3343.0, 1794.0, 82941.0, 77791.0, 3340.0, 1810.0, 82883.0, 77679.0, 3339.0, 1865.0, 82809.0, 77567.0, 3337.0, 1905.0)) 83787 89950.44339903675 List(1, 22, List(), List(43.0, 30.0, 32.0, 11.0, 27.0, 20.0, 2709.0, 214.0, 100.0, 2395.0, 2473.0, 197.0, 80.0, 2196.0, 2223.0, 174.0, 69.0, 1980.0, 2054.0, 123.0, 54.0, 1877.0)) 3439 6952.656900800005 List(1, 22, List(), List(38.0, 22.0, 32.0, 4.0, 20.0, 0.0, 533.0, 58.0, 4.0, 471.0, 444.0, 52.0, 3.0, 389.0, 444.0, 52.0, 3.0, 389.0, 384.0, 48.0, 3.0, 333.0)) 801 -1338.830275016345 List(1, 22, List(), List(53.0, 30.0, 36.0, 14.0, 30.0, 14.0, 1534.0, 323.0, 21.0, 1190.0, 1495.0, 231.0, 21.0, 1243.0, 1407.0, 219.0, 20.0, 1168.0, 1343.0, 179.0, 19.0, 1145.0)) 1832 2706.9752185438565 List(1, 22, List(), List(37.0, 21.0, 25.0, 5.0, 31.0, 11.0, 620.0, 77.0, 16.0, 527.0, 564.0, 51.0, 15.0, 498.0, 515.0, 28.0, 15.0, 472.0, 457.0, 27.0, 12.0, 418.0)) 986 1119.8753606717605 List(1, 22, List(), List(48.0, 36.0, 33.0, 12.0, 27.0, 21.0, 5831.0, 411.0, 129.0, 5291.0, 5732.0, 346.0, 119.0, 5267.0, 5569.0, 301.0, 112.0, 5156.0, 5312.0, 233.0, 99.0, 4980.0)) 6606 10275.248312293174 List(1, 22, List(), List(51.0, 39.0, 43.0, 17.0, 35.0, 28.0, 6191.0, 2111.0, 260.0, 3820.0, 6014.0, 1929.0, 247.0, 3838.0, 5830.0, 1883.0, 237.0, 3710.0, 5597.0, 1763.0, 218.0, 3616.0)) 7437 11059.153535492453 List(1, 22, List(), List(71.0, 68.0, 59.0, 38.0, 58.0, 25.0, 712.0, 619.0, 11.0, 82.0, 712.0, 619.0, 11.0, 82.0, 712.0, 619.0, 11.0, 82.0, 712.0, 619.0, 11.0, 82.0)) 712 -2336.448541976141 List(1, 22, List(), List(48.0, 28.0, 25.0, 7.0, 32.0, 24.0, 2759.0, 108.0, 135.0, 2516.0, 2620.0, 98.0, 126.0, 2396.0, 2349.0, 80.0, 118.0, 2151.0, 2111.0, 50.0, 108.0, 1953.0)) 4335 8752.972350523472 List(1, 22, List(), List(48.0, 31.0, 28.0, 14.0, 35.0, 27.0, 7257.0, 411.0, 315.0, 6531.0, 7161.0, 368.0, 297.0, 6496.0, 4965.0, 339.0, 272.0, 4354.0, 4450.0, 140.0, 242.0, 4068.0)) 9022 17904.09234738687 List(1, 22, List(), List(64.0, 35.0, 50.0, 23.0, 41.0, 28.0, 1939.0, 426.0, 146.0, 1367.0, 1794.0, 384.0, 135.0, 1275.0, 1699.0, 348.0, 118.0, 1233.0, 1560.0, 305.0, 103.0, 1152.0)) 3032 6521.079644576415 List(1, 22, List(), List(51.0, 35.0, 34.0, 5.0, 24.0, 16.0, 1304.0, 93.0, 24.0, 1187.0, 1258.0, 93.0, 24.0, 1141.0, 1207.0, 83.0, 24.0, 1100.0, 1185.0, 72.0, 24.0, 1089.0)) 1512 4013.4867818043476 List(1, 22, List(), List(80.0, 36.0, 66.0, 16.0, 28.0, 20.0, 2905.0, 300.0, 49.0, 2556.0, 2769.0, 300.0, 48.0, 2421.0, 2605.0, 300.0, 42.0, 2263.0, 2487.0, 300.0, 40.0, 2147.0)) 3681 8577.542425503521 List(1, 22, List(), List(85.0, 49.0, 66.0, 27.0, 63.0, 42.0, 94863.0, 26663.0, 13851.0, 54349.0, 91738.0, 25195.0, 13215.0, 53328.0, 87366.0, 23413.0, 12228.0, 51725.0, 83057.0, 21452.0, 10887.0, 50718.0)) 149149 115944.97885177833 List(1, 22, List(), List(82.0, 48.0, 65.0, 31.0, 40.0, 34.0, 124908.0, 57400.0, 2736.0, 64772.0, 122171.0, 53913.0, 2767.0, 65491.0, 118181.0, 52407.0, 2607.0, 63167.0, 113296.0, 46300.0, 2349.0, 64647.0)) 143342 145468.34314021296 List(1, 22, List(), List(35.0, 23.0, 23.0, 0.0, 28.0, 0.0, 408.0, 4.0, 8.0, 396.0, 378.0, 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In [13]:
pred = lr_model.transform(today)
display(pred)
features label prediction List(1, 22, List(), List(89.0, 45.0, 85.0, 31.0, 54.0, 29.0, 6522.0, 3808.0, 66.0, 2648.0, 6462.0, 2355.0, 63.0, 4044.0, 6440.0, 2186.0, 63.0, 4191.0, 6415.0, 2186.0, 62.0, 4167.0)) 6661 7762.535186218617 List(1, 22, List(), List(59.0, 47.0, 46.0, 29.0, 43.0, 33.0, 14595.0, 9704.0, 431.0, 4460.0, 14476.0, 8986.0, 410.0, 5080.0, 14336.0, 8098.0, 393.0, 5845.0, 14226.0, 7633.0, 384.0, 6209.0)) 15071 15492.811311733069 List(1, 22, List(), List(89.0, 44.0, 72.0, 31.0, 46.0, 35.0, 32813.0, 10545.0, 1354.0, 20914.0, 30808.0, 9698.0, 1257.0, 19853.0, 28208.0, 8966.0, 1006.0, 18236.0, 27034.0, 8210.0, 899.0, 17925.0)) 43353 49401.504769309126 List(1, 22, List(), List(93.0, 93.0, 93.0, 87.0, 93.0, 93.0, 83760.0, 77552.0, 4636.0, 1572.0, 83403.0, 78401.0, 3346.0, 1656.0, 83356.0, 78311.0, 3346.0, 1699.0, 83306.0, 78200.0, 3345.0, 1761.0)) 83885 93533.28799235456 List(1, 22, List(), List(57.0, 45.0, 49.0, 23.0, 41.0, 34.0, 7268.0, 3571.0, 336.0, 3361.0, 7074.0, 3203.0, 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Content source: dmitrypetukhov/evangelism
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