population and growth rate
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data/SCPRC-EST2019-18+POP-RES.csv
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data/SCPRC-EST2019-18+POP-RES.csv
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SUMLEV,REGION,DIVISION,STATE,NAME,POPESTIMATE2019,POPEST18PLUS2019,PCNT_POPEST18PLUS
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010,0,0,00,United States,328239523,255200373,77.7
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040,3,6,01,Alabama,4903185,3814879,77.8
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040,4,9,02,Alaska,731545,551562,75.4
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040,4,8,04,Arizona,7278717,5638481,77.5
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040,3,7,05,Arkansas,3017804,2317649,76.8
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040,4,9,06,California,39512223,30617582,77.5
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040,4,8,08,Colorado,5758736,4499217,78.1
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040,1,1,09,Connecticut,3565287,2837847,79.6
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040,3,5,10,Delaware,973764,770192,79.1
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040,3,5,11,District of Columbia,705749,577581,81.8
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040,3,5,12,Florida,21477737,17247808,80.3
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040,3,5,13,Georgia,10617423,8113542,76.4
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040,4,9,15,Hawaii,1415872,1116004,78.8
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040,4,8,16,Idaho,1787065,1338864,74.9
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040,2,3,17,Illinois,12671821,9853946,77.8
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040,2,3,18,Indiana,6732219,5164245,76.7
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040,2,4,19,Iowa,3155070,2428229,77
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040,2,4,20,Kansas,2913314,2213064,76
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040,3,6,21,Kentucky,4467673,3464802,77.6
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040,3,7,22,Louisiana,4648794,3561164,76.6
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040,1,1,23,Maine,1344212,1095370,81.5
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040,3,5,24,Maryland,6045680,4710993,77.9
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040,1,1,25,Massachusetts,6892503,5539703,80.4
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040,2,3,26,Michigan,9986857,7842924,78.5
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040,2,4,27,Minnesota,5639632,4336475,76.9
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040,3,6,28,Mississippi,2976149,2277566,76.5
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040,2,4,29,Missouri,6137428,4766843,77.7
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040,4,8,30,Montana,1068778,840190,78.6
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040,2,4,31,Nebraska,1934408,1458334,75.4
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040,4,8,32,Nevada,3080156,2387517,77.5
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040,1,1,33,New Hampshire,1359711,1104458,81.2
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040,1,2,34,New Jersey,8882190,6943612,78.2
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040,4,8,35,New Mexico,2096829,1620991,77.3
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040,1,2,36,New York,19453561,15425262,79.3
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040,3,5,37,North Carolina,10488084,8187369,78.1
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040,2,4,38,North Dakota,762062,581891,76.4
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040,2,3,39,Ohio,11689100,9111081,77.9
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040,3,7,40,Oklahoma,3956971,3004733,75.9
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040,4,9,41,Oregon,4217737,3351175,79.5
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040,1,2,42,Pennsylvania,12801989,10167376,79.4
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040,1,1,44,Rhode Island,1059361,854866,80.7
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040,3,5,45,South Carolina,5148714,4037531,78.4
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040,2,4,46,South Dakota,884659,667558,75.5
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040,3,6,47,Tennessee,6829174,5319123,77.9
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040,3,7,48,Texas,28995881,21596071,74.5
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040,4,8,49,Utah,3205958,2274774,71
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040,1,1,50,Vermont,623989,509984,81.7
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040,3,5,51,Virginia,8535519,6674671,78.2
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040,4,9,53,Washington,7614893,5951832,78.2
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040,3,5,54,West Virginia,1792147,1432580,79.9
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040,2,3,55,Wisconsin,5822434,4555837,78.2
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040,4,8,56,Wyoming,578759,445025,76.9
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040,X,X,72,Puerto Rico Commonwealth,3193694,2620963,82.1
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data/population-world-wikipedia.tsv
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data/population-world-wikipedia.tsv
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Country Continent Region Pop_2018 Pop_2019 Change
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China Asia Eastern Asia 1,427,647,786 1,433,783,686 +0.43%
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India Asia Southern Asia 1,352,642,280 1,366,417,754 +1.02%
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United States Americas Northern America 327,096,265 329,064,917 +0.60%
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Indonesia Asia South-eastern Asia 267,670,543 270,625,568 +1.10%
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Pakistan Asia Southern Asia 212,228,286 216,565,318 +2.04%
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Brazil Americas South America 209,469,323 211,049,527 +0.75%
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Nigeria Africa Western Africa 195,874,683 200,963,599 +2.60%
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Bangladesh Asia Southern Asia 161,376,708 163,046,161 +1.03%
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Russia Europe Eastern Europe 145,734,038 145,872,256 +0.09%
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Mexico Americas Central America 126,190,788 127,575,529 +1.10%
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Japan Asia Eastern Asia 127,202,192 126,860,301 −0.27%
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Ethiopia Africa Eastern Africa 109,224,414 112,078,730 +2.61%
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Philippines Asia South-eastern Asia 106,651,394 108,116,615 +1.37%
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Egypt Africa Northern Africa 98,423,598 100,388,073 +2.00%
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Vietnam Asia South-eastern Asia 95,545,962 96,462,106 +0.96%
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DR Congo Africa Middle Africa 84,068,091 86,790,567 +3.24%
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Germany Europe Western Europe 83,124,418 83,517,045 +0.47%
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Turkey Asia Western Asia 82,340,088 83,429,615 +1.32%
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Iran Asia Southern Asia 81,800,188 82,913,906 +1.36%
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Thailand Asia South-eastern Asia 68,863,514 69,037,513 +0.25%
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United Kingdom Europe Northern Europe 67,141,684 67,530,172 +0.58%
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France Europe Western Europe 64,990,511 65,129,728 +0.21%
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Italy Europe Southern Europe 60,627,291 60,550,075 −0.13%
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South Africa Africa Southern Africa 57,792,518 58,558,270 +1.33%
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Tanzania Africa Eastern Africa 56,313,438 58,005,463 +3.00%
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Myanmar Asia South-eastern Asia 53,708,320 54,045,420 +0.63%
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Kenya Africa Eastern Africa 51,392,565 52,573,973 +2.30%
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South Korea Asia Eastern Asia 51,171,706 51,225,308 +0.10%
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Colombia Americas South America 49,661,048 50,339,443 +1.37%
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Spain Europe Southern Europe 46,692,858 46,736,776 +0.09%
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Argentina Americas South America 44,361,150 44,780,677 +0.95%
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Uganda Africa Eastern Africa 42,729,036 44,269,594 +3.61%
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Ukraine Europe Eastern Europe 44,246,156 43,993,638 −0.57%
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Algeria Africa Northern Africa 42,228,408 43,053,054 +1.95%
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Sudan Africa Northern Africa 41,801,533 42,813,238 +2.42%
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Iraq Asia Western Asia 38,433,600 39,309,783 +2.28%
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Afghanistan Asia Southern Asia 37,171,921 38,041,754 +2.34%
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Poland Europe Eastern Europe 37,921,592 37,887,768 −0.09%
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Canada Americas Northern America 37,074,562 37,411,047 +0.91%
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Morocco Africa Northern Africa 36,029,093 36,471,769 +1.23%
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Saudi Arabia Asia Western Asia 33,702,756 34,268,528 +1.68%
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Uzbekistan Asia Central Asia 32,476,244 32,981,716 +1.56%
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Peru Americas South America 31,989,260 32,510,453 +1.63%
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Malaysia Asia South-eastern Asia 31,528,033 31,949,777 +1.34%
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Angola Africa Middle Africa 30,809,787 31,825,295 +3.30%
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Mozambique Africa Eastern Africa 29,496,004 30,366,036 +2.95%
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Yemen Asia Western Asia 28,498,683 29,161,922 +2.33%
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Ghana Africa Western Africa 28,206,728 28,833,629 +2.22%
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Nepal Asia Southern Asia 28,095,714 28,608,710 +1.83%
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Venezuela Americas South America 28,887,118 28,515,829 −1.29%
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Madagascar Africa Eastern Africa 26,262,313 26,969,307 +2.69%
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North Korea Asia Eastern Asia 25,549,604 25,666,161 +0.46%
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Ivory Coast Africa Western Africa 25,069,230 25,716,544 +2.58%
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Cameroon Africa Middle Africa 25,216,267 25,876,380 +2.62%
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Australia Oceania Australia and New Zealand 24,898,152 25,203,198 +1.23%
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Taiwan Asia Eastern Asia 23,726,460 23,773,876 +0.20%
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Niger Africa Western Africa 22,442,822 23,310,715 +3.87%
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Sri Lanka Asia Southern Asia 21,228,763 21,323,733 +0.45%
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Burkina Faso Africa Western Africa 19,751,466 20,321,378 +2.89%
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Mali Africa Western Africa 19,077,749 19,658,031 +3.04%
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Romania Europe Eastern Europe 19,506,114 19,364,557 −0.73%
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Malawi Africa Eastern Africa 18,143,217 18,628,747 +2.68%
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Chile Americas South America 18,729,160 18,952,038 +1.19%
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Kazakhstan Asia Central Asia 18,319,618 18,551,427 +1.27%
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Zambia Africa Eastern Africa 17,351,708 17,861,030 +2.94%
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Guatemala Americas Central America 17,247,849 17,581,472 +1.93%
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Ecuador Americas South America 17,084,358 17,373,662 +1.69%
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Netherlands Europe Western Europe 17,059,560 17,097,130 +0.22%
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Syria Asia Western Asia 16,945,057 17,070,135 +0.74%
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Cambodia Asia South-eastern Asia 16,249,792 16,486,542 +1.46%
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Senegal Africa Western Africa 15,854,323 16,296,364 +2.79%
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Chad Africa Middle Africa 15,477,729 15,946,876 +3.03%
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Somalia Africa Eastern Africa 15,008,226 15,442,905 +2.90%
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Zimbabwe Africa Eastern Africa 14,438,802 14,645,468 +1.43%
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Guinea Africa Western Africa 12,414,293 12,771,246 +2.88%
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Rwanda Africa Eastern Africa 12,301,970 12,626,950 +2.64%
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Benin Africa Western Africa 11,485,044 11,801,151 +2.75%
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Tunisia Africa Northern Africa 11,565,201 11,694,719 +1.12%
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Belgium Europe Western Europe 11,482,178 11,539,328 +0.50%
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Bolivia Americas South America 11,353,142 11,513,100 +1.41%
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Cuba Americas Caribbean 11,338,134 11,333,483 −0.04%
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Haiti Americas Caribbean 11,123,178 11,263,770 +1.26%
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South Sudan Africa Eastern Africa 10,975,927 11,062,113 +0.79%
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Burundi Africa Eastern Africa 10,524,117 10,864,245 +3.23%
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Dominican Republic Americas Caribbean 10,627,141 10,738,958 +1.05%
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Czech Republic Europe Eastern Europe 10,665,677 10,689,209 +0.22%
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Greece Europe Southern Europe 10,522,246 10,473,455 −0.46%
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Portugal Europe Southern Europe 10,256,193 10,226,187 −0.29%
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Jordan Asia Western Asia 9,965,318 10,101,694 +1.37%
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Azerbaijan Asia Western Asia 9,949,537 10,047,718 +0.99%
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Sweden Europe Northern Europe 9,971,638 10,036,379 +0.65%
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United Arab Emirates Asia Western Asia 9,630,959 9,770,529 +1.45%
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Honduras Americas Central America 9,587,522 9,746,117 +1.65%
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Hungary Europe Eastern Europe 9,707,499 9,684,679 −0.24%
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Belarus Europe Eastern Europe 9,452,617 9,452,411 0.00%
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Tajikistan Asia Central Asia 9,100,835 9,321,018 +2.42%
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Austria Europe Western Europe 8,891,388 8,955,102 +0.72%
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Papua New Guinea Oceania Melanesia 8,606,323 8,776,109 +1.97%
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Serbia Europe Southern Europe 8,802,754 8,772,235 −0.35%
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Switzerland Europe Western Europe 8,525,611 8,591,365 +0.77%
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Israel Asia Western Asia 8,381,516 8,519,377 +1.64%
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Togo Africa Western Africa 7,889,093 8,082,366 +2.45%
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Sierra Leone Africa Western Africa 7,650,150 7,813,215 +2.13%
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Hong Kong Asia Eastern Asia 7,371,730 7,436,154 +0.87%
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Laos Asia South-eastern Asia 7,061,507 7,169,455 +1.53%
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Paraguay Americas South America 6,956,066 7,044,636 +1.27%
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Bulgaria Europe Eastern Europe 7,051,608 7,000,119 −0.73%
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Lebanon Asia Western Asia 6,859,408 6,855,713 −0.05%
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Libya Africa Northern Africa 6,678,559 6,777,452 +1.48%
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Nicaragua Americas Central America 6,465,501 6,545,502 +1.24%
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El Salvador Americas Central America 6,420,746 6,453,553 +0.51%
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Kyrgyzstan Asia Central Asia 6,304,030 6,415,850 +1.77%
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Turkmenistan Asia Central Asia 5,850,901 5,942,089 +1.56%
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Singapore Asia South-eastern Asia 5,757,499 5,804,337 +0.81%
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Denmark Europe Northern Europe 5,752,126 5,771,876 +0.34%
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Finland Europe Northern Europe 5,522,576 5,532,156 +0.17%
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Slovakia Europe Eastern Europe 5,453,014 5,457,013 +0.07%
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Congo Africa Middle Africa 5,244,359 5,380,508 +2.60%
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Norway Europe Northern Europe 5,337,962 5,378,857 +0.77%
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Costa Rica Americas Central America 4,999,441 5,047,561 +0.96%
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Palestine Asia Western Asia 4,862,979 4,981,420 +2.44%
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Oman Asia Western Asia 4,829,473 4,974,986 +3.01%
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Liberia Africa Western Africa 4,818,973 4,937,374 +2.46%
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Ireland Europe Northern Europe 4,818,690 4,882,495 +1.32%
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New Zealand Oceania Australia and New Zealand 4,743,131 4,783,063 +0.84%
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Central African Republic Africa Middle Africa 4,666,368 4,745,185 +1.69%
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Mauritania Africa Western Africa 4,403,313 4,525,696 +2.78%
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Panama Americas Central America 4,176,869 4,246,439 +1.67%
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Kuwait Asia Western Asia 4,137,312 4,207,083 +1.69%
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Croatia Europe Southern Europe 4,156,405 4,130,304 −0.63%
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Moldova Europe Eastern Europe 4,051,944 4,043,263 −0.21%
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Georgia Asia Western Asia 4,002,942 3,996,765 −0.15%
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Eritrea Africa Eastern Africa 3,452,786 3,497,117 +1.28%
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Uruguay Americas South America 3,449,285 3,461,734 +0.36%
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Bosnia and Herzegovina Europe Southern Europe 3,323,925 3,301,000 −0.69%
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Mongolia Asia Eastern Asia 3,170,216 3,225,167 +1.73%
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Armenia Asia Western Asia 2,951,745 2,957,731 +0.20%
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Jamaica Americas Caribbean 2,934,847 2,948,279 +0.46%
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Puerto Rico Americas Caribbean 3,039,596 2,933,408 −3.49%
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Albania Europe Southern Europe 2,882,740 2,880,917 −0.06%
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Qatar Asia Western Asia 2,781,682 2,832,067 +1.81%
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Lithuania Europe Northern Europe 2,801,264 2,759,627 −1.49%
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Namibia Africa Southern Africa 2,448,301 2,494,530 +1.89%
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Gambia Africa Western Africa 2,280,094 2,347,706 +2.97%
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Botswana Africa Southern Africa 2,254,068 2,303,697 +2.20%
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Gabon Africa Middle Africa 2,119,275 2,172,579 +2.52%
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Lesotho Africa Southern Africa 2,108,328 2,125,268 +0.80%
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North Macedonia Europe Southern Europe 2,082,957 2,083,459 +0.02%
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Slovenia Europe Southern Europe 2,077,837 2,078,654 +0.04%
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Guinea-Bissau Africa Western Africa 1,874,303 1,920,922 +2.49%
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Latvia Europe Northern Europe 1,928,459 1,906,743 −1.13%
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Bahrain Asia Western Asia 1,569,446 1,641,172 +4.57%
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Trinidad and Tobago Americas Caribbean 1,389,843 1,394,973 +0.37%
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Equatorial Guinea Africa Middle Africa 1,308,975 1,355,986 +3.59%
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Estonia Europe Northern Europe 1,322,920 1,325,648 +0.21%
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East Timor Asia South-eastern Asia 1,267,974 1,293,119 +1.98%
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Mauritius Africa Eastern Africa 1,189,265 1,198,575 +0.78%
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Cyprus Asia Western Asia 1,170,125 1,179,551 +0.81%
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Eswatini Africa Southern Africa 1,136,281 1,148,130 +1.04%
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Djibouti Africa Eastern Africa 958,923 973,560 +1.53%
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Fiji Oceania Melanesia 883,483 889,953 +0.73%
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Réunion Africa Eastern Africa 882,526 888,927 +0.73%
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Comoros Africa Eastern Africa 832,322 850,886 +2.23%
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Guyana Americas South America 779,006 782,766 +0.48%
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Bhutan Asia Southern Asia 754,388 763,092 +1.15%
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Solomon Islands Oceania Melanesia 652,857 669,823 +2.60%
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Macau Asia Eastern Asia 631,636 640,445 +1.39%
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Montenegro Europe Southern Europe 627,809 627,987 +0.03%
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Luxembourg Europe Western Europe 604,245 615,729 +1.90%
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Western Sahara Africa Northern Africa 567,402 582,463 +2.65%
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Suriname Americas South America 575,990 581,372 +0.93%
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Cape Verde Africa Western Africa 543,767 549,935 +1.13%
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Maldives Asia Southern Asia 515,696 530,953 +2.96%
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Guadeloupe Americas Caribbean 446,928 447,905 +0.22%
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Malta Europe Southern Europe 439,248 440,372 +0.26%
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Brunei Asia South-eastern Asia 428,963 433,285 +1.01%
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Belize Americas Central America 383,071 390,353 +1.90%
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Bahamas Americas Caribbean 385,637 389,482 +1.00%
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Martinique Americas Caribbean 375,673 375,554 −0.03%
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Iceland Europe Northern Europe 336,713 339,031 +0.69%
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Vanuatu Oceania Melanesia 292,680 299,882 +2.46%
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Barbados Americas Caribbean 286,641 287,025 +0.13%
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New Caledonia Oceania Melanesia 279,993 282,750 +0.98%
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French Guiana Americas South America 275,713 282,731 +2.55%
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French Polynesia Oceania Polynesia 277,679 279,287 +0.58%
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Mayotte Africa Eastern Africa 259,531 266,150 +2.55%
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São Tomé and Príncipe Africa Middle Africa 211,028 215,056 +1.91%
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Samoa Oceania Polynesia 196,129 197,097 +0.49%
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Saint Lucia Americas Caribbean 181,889 182,790 +0.50%
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Guernsey and Jersey Europe Northern Europe 170,499 172,259 +1.03%
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Guam Oceania Micronesia 165,768 167,294 +0.92%
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Curaçao Americas Caribbean 162,752 163,424 +0.41%
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Kiribati Oceania Micronesia 115,847 117,606 +1.52%
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F.S. Micronesia Oceania Micronesia 112,640 113,815 +1.04%
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Grenada Americas Caribbean 111,454 112,003 +0.49%
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Tonga Oceania Polynesia 110,589 110,940 +0.32%
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Saint Vincent and the Grenadines Americas Caribbean 110,211 110,589 +0.34%
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Aruba Americas Caribbean 105,845 106,314 +0.44%
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U.S. Virgin Islands Americas Caribbean 104,680 104,578 −0.10%
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Seychelles Africa Eastern Africa 97,096 97,739 +0.66%
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Antigua and Barbuda Americas Caribbean 96,286 97,118 +0.86%
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Isle of Man Europe Northern Europe 84,077 84,584 +0.60%
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Andorra Europe Southern Europe 77,006 77,142 +0.18%
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Dominica Americas Caribbean 71,625 71,808 +0.26%
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Cayman Islands Americas Caribbean 64,174 64,948 +1.21%
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Bermuda Americas Northern America 62,756 62,506 −0.40%
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Marshall Islands Oceania Micronesia 58,413 58,791 +0.65%
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Greenland Americas Northern America 56,564 56,672 +0.19%
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Northern Mariana Islands Oceania Micronesia 56,882 56,188 −1.22%
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American Samoa Oceania Polynesia 55,465 55,312 −0.28%
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Saint Kitts and Nevis Americas Caribbean 52,441 52,823 +0.73%
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Faroe Islands Europe Northern Europe 48,497 48,678 +0.37%
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Sint Maarten Americas Caribbean 41,940 42,388 +1.07%
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Monaco Europe Western Europe 38,682 38,964 +0.73%
|
||||
Turks and Caicos Islands Americas Caribbean 37,665 38,191 +1.40%
|
||||
Liechtenstein Europe Western Europe 37,910 38,019 +0.29%
|
||||
San Marino Europe Southern Europe 33,785 33,860 +0.22%
|
||||
Gibraltar Europe Southern Europe 33,718 33,701 −0.05%
|
||||
British Virgin Islands Americas Caribbean 29,802 30,030 +0.77%
|
||||
Caribbean Netherlands Americas Caribbean 25,711 25,979 +1.04%
|
||||
Palau Oceania Micronesia 17,907 18,008 +0.56%
|
||||
Cook Islands Oceania Polynesia 17,518 17,548 +0.17%
|
||||
Anguilla Americas Caribbean 14,731 14,869 +0.94%
|
||||
Tuvalu Oceania Polynesia 11,508 11,646 +1.20%
|
||||
Wallis and Futuna Oceania Polynesia 11,661 11,432 −1.96%
|
||||
Nauru Oceania Micronesia 10,670 10,756 +0.81%
|
||||
Saint Helena, Ascension and Tristan da Cunha Africa Western Africa 6,035 6,059 +0.40%
|
||||
Saint Pierre and Miquelon Americas Northern America 5,849 5,822 −0.46%
|
||||
Montserrat Americas Caribbean 4,993 4,989 −0.08%
|
||||
Falkland Islands Americas South America 3,234 3,377 +4.42%
|
||||
Niue Oceania Polynesia 1,620 1,615 −0.31%
|
||||
Tokelau Oceania Polynesia 1,319 1,340 +1.59%
|
||||
Vatican City Europe Southern Europe 801 799 −0.25%
|
||||
|
147
generate.js
147
generate.js
@ -7,8 +7,9 @@ const pug = require('pug');
|
||||
|
||||
const publicDir = path.join(__dirname, 'public');
|
||||
const templatesDir = path.join(__dirname, 'tmpl');
|
||||
const dataDir = path.resolve(path.join(__dirname, '..', 'COVID-19', 'csse_covid_19_data'));
|
||||
const timeSeriesDir = path.join(dataDir, 'csse_covid_19_time_series');
|
||||
const dataDir = path.join(__dirname, 'data');
|
||||
const covidDataDir = path.resolve(path.join(__dirname, '..', 'COVID-19', 'csse_covid_19_data'));
|
||||
const timeSeriesDir = path.join(covidDataDir, 'csse_covid_19_time_series');
|
||||
|
||||
const promiseMe = (fn) => {
|
||||
return new Promise((resolve, reject) => {
|
||||
@ -41,6 +42,8 @@ const deathsGlobalCsv = path.join(timeSeriesDir, 'time_series_covid19_deaths_glo
|
||||
const confirmedGlobalCsv = path.join(timeSeriesDir, 'time_series_covid19_confirmed_global.csv');
|
||||
const deathsUSCsv = path.join(timeSeriesDir, 'time_series_covid19_deaths_US.csv');
|
||||
const confirmedUSCsv = path.join(timeSeriesDir, 'time_series_covid19_confirmed_US.csv');
|
||||
const populationStatesCsv = path.join(dataDir, 'SCPRC-EST2019-18+POP-RES.csv');
|
||||
const populationCountriesCsv = path.join(dataDir, 'population-world-wikipedia.tsv');
|
||||
|
||||
const zeroPad = value => value < 10 ? `0${value}` : value.toString();
|
||||
const toSafeName = x => x.replace(/[^A-Za-z]/g, '-').toLowerCase();
|
||||
@ -56,6 +59,14 @@ const processGlobalDeaths = async () => {
|
||||
const timeSeriesUSRaw = fs.readFileSync(deathsUSCsv, { encoding: 'utf8' });
|
||||
console.log(`read US deaths CSV in ${Date.now() - start}ms`);
|
||||
|
||||
start = Date.now();
|
||||
const populationUSRaw = fs.readFileSync(populationStatesCsv, {encoding: 'utf8'});
|
||||
console.log(`read US states population CSV in ${Date.now() - start}ms`);
|
||||
|
||||
start = Date.now();
|
||||
const populationCountriesRaw = fs.readFileSync(populationCountriesCsv, {encoding: 'utf8'});
|
||||
console.log(`read countries population CSV in ${Date.now() - start}ms`);
|
||||
|
||||
start = Date.now();
|
||||
let tsGlobalRecords = parseCsv(timeSeriesGlobalRaw, {
|
||||
cast: true,
|
||||
@ -70,10 +81,82 @@ const processGlobalDeaths = async () => {
|
||||
});
|
||||
console.log(`parsed US deaths CSV in ${Date.now() - start}ms`);
|
||||
|
||||
start = Date.now();
|
||||
let populationUSStateRecords = parseCsv(populationUSRaw, {
|
||||
cast: true,
|
||||
columns: true,
|
||||
});
|
||||
console.log(`parsed US states population CSV in ${Date.now() - start}ms`);
|
||||
|
||||
start = Date.now();
|
||||
let populationCountriesRecords = parseCsv(populationCountriesRaw, {
|
||||
cast: true,
|
||||
columns: true,
|
||||
delimiter: '\t',
|
||||
ltrim: true,
|
||||
rtrim: true,
|
||||
});
|
||||
console.log(`parsed countries population CSV in ${Date.now() - start}ms`);
|
||||
|
||||
const statePopulationMap = populationUSStateRecords
|
||||
.sort((a, b) => a.NAME.localeCompare(b.NAME))
|
||||
.reduce((map, item) => {
|
||||
map[item.NAME] = Number(item.POPESTIMATE2019);
|
||||
return map;
|
||||
}, {});
|
||||
|
||||
const countryNameMap = {
|
||||
'Cape Verde': 'Cabo Verde',
|
||||
'DR Congo': 'Congo (Brazzaville)',
|
||||
'Congo': 'Congo (Kinshasa)',
|
||||
'Ivory Coast': 'Cote d\'Ivoire',
|
||||
'Czech Republic': 'Czechia',
|
||||
'Vatican City': 'Holy See',
|
||||
'South Korea': 'Korea, South',
|
||||
'Taiwan': 'Taiwan*',
|
||||
'East Timor': 'Timor-Leste',
|
||||
'Palestine': 'West Bank and Gaza',
|
||||
'Myanmar': 'Burma',
|
||||
'São Tomé and Príncipe': 'Sao Tome and Principe',
|
||||
};
|
||||
|
||||
const countryPopulationMap = populationCountriesRecords
|
||||
.sort((a, b) => a.Country.localeCompare(b.Country))
|
||||
.reduce((map, item) => {
|
||||
map[item.Country] = Number(item.Pop_2019.toString().replace(/,/g, ''));
|
||||
const otherName = countryNameMap[item.Country];
|
||||
if (otherName) {
|
||||
map[otherName] = map[item.Country];
|
||||
}
|
||||
return map;
|
||||
}, {});
|
||||
|
||||
countryPopulationMap['Diamond Princess'] = statePopulationMap['Diamond Princess'] = 3711;
|
||||
countryPopulationMap['MS Zaandam'] = 1829;
|
||||
countryPopulationMap['Kosovo'] = 1810463;
|
||||
statePopulationMap['Grand Princess'] = 3533;
|
||||
|
||||
// tsGlobalRecords = tsGlobalRecords.filter((record) => {
|
||||
// return record['Country/Region'] === 'Spain';
|
||||
// return record['Country/Region'] === 'US';
|
||||
// });
|
||||
|
||||
const getGrowthRate = (record) => {
|
||||
const ts = record.timeSeriesDaily;
|
||||
const len = ts.length;
|
||||
if (len < 2) {
|
||||
return 0;
|
||||
}
|
||||
const latest = len - 1;
|
||||
const earliest = Math.max(len - 14, 0);
|
||||
const pow = 1/(latest - earliest + 1);
|
||||
const hi = ts[latest].value;
|
||||
const lo = Math.max(ts[earliest].value, 0.5);
|
||||
if (hi === 0 && lo < 1) {
|
||||
return 0;
|
||||
}
|
||||
return Math.pow((hi / lo), pow) - 1;
|
||||
};
|
||||
|
||||
// state/county data is separated for the US and doesn't need to be rolled up
|
||||
tsUSRecords.forEach((usRecord) => {
|
||||
const newRecord = {
|
||||
@ -191,6 +274,27 @@ const processGlobalDeaths = async () => {
|
||||
delete record.Long;
|
||||
delete record.Admin2;
|
||||
delete record.Population;
|
||||
|
||||
if (!record.population && !record.state && !record.county) {
|
||||
const mappedPop = countryPopulationMap[record.country];
|
||||
if (!mappedPop) {
|
||||
console.log(require('util').inspect(countryPopulationMap, false, null, true));
|
||||
throw new Error('found no population for ' + record.country);
|
||||
}
|
||||
record.population = mappedPop;
|
||||
} else if (!record.population && record.state && !record.county && record.country === 'United States') {
|
||||
// US territories and cruise ships
|
||||
const mappedPop = statePopulationMap[record.state];
|
||||
if (!mappedPop) {
|
||||
console.log(require('util').inspect(statePopulationMap, false, null, true));
|
||||
throw new Error('found no population for ' + record.state);
|
||||
}
|
||||
// console.log(`setting population to ${mappedPop} for ${record.state}`);
|
||||
record.population = mappedPop;
|
||||
}
|
||||
|
||||
record.deathsPerMillion = !!record.population ? record.total / record.population * 1000000 : 0;
|
||||
record.deathGrowthRate = getGrowthRate(record);
|
||||
});
|
||||
|
||||
tsGlobalRecords.sort((a, b) => {
|
||||
@ -206,6 +310,7 @@ const processGlobalDeaths = async () => {
|
||||
tsGlobalRecords.forEach((record) => {
|
||||
perCountryTotals[record.country] = perCountryTotals[record.country] || {
|
||||
total: 0,
|
||||
population: 0,
|
||||
timeSeriesDaily: {},
|
||||
timeSeriesMonthly: {},
|
||||
states: [],
|
||||
@ -213,6 +318,10 @@ const processGlobalDeaths = async () => {
|
||||
};
|
||||
|
||||
const item = perCountryTotals[record.country];
|
||||
if (!record.state && !record.county) {
|
||||
// country population
|
||||
item.population = record.population;
|
||||
}
|
||||
|
||||
// roll up up state/county data
|
||||
if (record.state && record.county) {
|
||||
@ -222,11 +331,23 @@ const processGlobalDeaths = async () => {
|
||||
country: record.country,
|
||||
countrySafeName: record.countrySafeName,
|
||||
total: 0,
|
||||
population: 0,
|
||||
deathsPerMillion: 0,
|
||||
timeSeriesDaily: {},
|
||||
timeSeriesMonthly: {},
|
||||
counties: [],
|
||||
};
|
||||
|
||||
if (!stateItem.population && record.country === 'United States') {
|
||||
const population = statePopulationMap[record.state];
|
||||
if (!population) {
|
||||
console.log(require('util').inspect(statePopulationMap, false, null, true));
|
||||
throw new Error('no population for ' + record.state);
|
||||
}
|
||||
|
||||
stateItem.population = population;
|
||||
}
|
||||
|
||||
stateItem.total += record.total;
|
||||
record.timeSeriesDaily.forEach((ts) => {
|
||||
stateItem.timeSeriesDaily[ts.key] = stateItem.timeSeriesDaily[ts.key] || {
|
||||
@ -284,6 +405,8 @@ const processGlobalDeaths = async () => {
|
||||
countrySafeName: item.countrySafeName,
|
||||
total: item.total,
|
||||
counties: item.counties,
|
||||
population: item.population,
|
||||
deathsPerMillion: item.population > 0 ? item.total / item.population * 1000000 : 0,
|
||||
timeSeriesDaily: Object.keys(item.timeSeriesDaily).sort().map((date) => {
|
||||
return {
|
||||
key: date,
|
||||
@ -300,17 +423,28 @@ const processGlobalDeaths = async () => {
|
||||
}),
|
||||
};
|
||||
|
||||
stateItem.deathGrowthRate = getGrowthRate(stateItem);
|
||||
|
||||
// insert into states array for the country
|
||||
perCountryTotals[item.country].states.push(stateItem);
|
||||
});
|
||||
|
||||
const countryArr = Object.keys(perCountryTotals).map((countryName) => {
|
||||
const item = perCountryTotals[countryName];
|
||||
return {
|
||||
if (!item.population) {
|
||||
// some countries don't have roll up (e.g. Canada, China, Australia)
|
||||
// and only contain province data instead of data for the whole country.
|
||||
// population doesn't get set in those cases.
|
||||
item.population = countryPopulationMap[countryName];
|
||||
}
|
||||
|
||||
const countryItem = {
|
||||
name: countryName,
|
||||
safeName: item.safeName,
|
||||
total: item.total,
|
||||
states: item.states,
|
||||
population: item.population,
|
||||
deathsPerMillion: item.population > 0 ? item.total / item.population * 1000000 : 0,
|
||||
timeSeriesDaily: Object.keys(item.timeSeriesDaily).sort().map((date) => {
|
||||
return {
|
||||
key: date,
|
||||
@ -326,6 +460,9 @@ const processGlobalDeaths = async () => {
|
||||
};
|
||||
}),
|
||||
};
|
||||
|
||||
countryItem.deathGrowthRate = getGrowthRate(countryItem);
|
||||
return countryItem;
|
||||
});
|
||||
|
||||
const worldData = {
|
||||
@ -374,6 +511,8 @@ const processGlobalDeaths = async () => {
|
||||
};
|
||||
});
|
||||
|
||||
worldData.deathGrowthRate = getGrowthRate(worldData);
|
||||
|
||||
console.log(`transformed data in ${Date.now() - start}ms`);
|
||||
|
||||
start = Date.now();
|
||||
|
||||
@ -11,10 +11,15 @@ block main
|
||||
thead: tr
|
||||
th #
|
||||
th(data-col="name"): +sortableLinks("name") State/Province
|
||||
if data.name === 'United States'
|
||||
th.text-center(data-col="population"): +sortableLinks("population") Population
|
||||
th.text-center(data-col="total"): +sortableLinks("total") Deaths
|
||||
if data.name === 'United States'
|
||||
th.text-center(data-col="million"): +sortableLinks("million") …/1M
|
||||
th.text-center.sorted(data-col="yesterday"): +sortableLinks("yesterday") …since yesterday
|
||||
th.text-center(data-col="week"): +sortableLinks("week") …since last week
|
||||
th.text-center(data-col="month"): +sortableLinks("month") …month-to-date
|
||||
th.text-center(data-col="growth"): +sortableLinks("growth") …growth rate
|
||||
th.text-center Last 14 days
|
||||
-
|
||||
data.states.sort((a, b) => {
|
||||
@ -30,7 +35,17 @@ block main
|
||||
- const yesterday = item.timeSeriesDaily[item.timeSeriesDaily.length - 1].delta || 0;
|
||||
- const lastWeek = item.timeSeriesDaily[item.timeSeriesDaily.length - 1].value - item.timeSeriesDaily[item.timeSeriesDaily.length - 7].value;
|
||||
- const lastMonth = item.timeSeriesMonthly[item.timeSeriesMonthly.length - 1].delta || 0;
|
||||
tr(id=("row-" + item.safeName) data-name=item.name data-total=item.total data-yesterday=yesterday data-week=lastWeek data-month=lastMonth)
|
||||
tr(
|
||||
id=("row-" + item.safeName)
|
||||
data-name=item.name
|
||||
data-population=item.population
|
||||
data-total=item.total
|
||||
data-million=item.deathsPerMillion
|
||||
data-yesterday=yesterday
|
||||
data-week=lastWeek
|
||||
data-month=lastMonth
|
||||
data-growth=item.deathGrowthRate
|
||||
)
|
||||
td.sort-order= i + 1
|
||||
td
|
||||
if item.name
|
||||
@ -44,10 +59,15 @@ block main
|
||||
em.text-muted All #{item.country}
|
||||
else
|
||||
em.text-muted Other #{item.country}
|
||||
if data.name === 'United States'
|
||||
td.text-right: +formatNumber(item.population)
|
||||
td.text-right: +formatNumber(item.total)
|
||||
if data.name === 'United States'
|
||||
td.text-right: +formatNumber(Math.round(item.deathsPerMillion))
|
||||
td.text-right.sorted: +formatNumber(yesterday)
|
||||
td.text-right: +formatNumber(lastWeek)
|
||||
td.text-right: +formatNumber(lastMonth)
|
||||
td.text-right= Number(item.deathGrowthRate * 100).toFixed(2) + '%'
|
||||
td
|
||||
canvas.mx-auto(id="sparkline-" + i width="200" height="50")
|
||||
script.
|
||||
|
||||
@ -130,7 +130,7 @@ html
|
||||
span.sortables.mr-2.d-inline-flex.flex-column(style="font-size: 50%")
|
||||
a(href="#sort:" + col + ":asc") ▲
|
||||
a(href="#sort:" + col + ":desc") ▼
|
||||
span
|
||||
span.d-inline-block.text-truncate
|
||||
block
|
||||
|
||||
mixin heroChart(title)
|
||||
@ -234,16 +234,13 @@ html
|
||||
resortTable('name');
|
||||
break;
|
||||
case 'total':
|
||||
sortByNumberThenName('total');
|
||||
break;
|
||||
case 'yesterday':
|
||||
sortByNumberThenName('yesterday');
|
||||
break;
|
||||
case 'week':
|
||||
sortByNumberThenName('week');
|
||||
break;
|
||||
case 'month':
|
||||
sortByNumberThenName('month');
|
||||
case 'population':
|
||||
case 'million':
|
||||
case 'growth':
|
||||
sortByNumberThenName(value);
|
||||
break;
|
||||
}
|
||||
};
|
||||
|
||||
@ -11,10 +11,13 @@ block main
|
||||
thead: tr
|
||||
th #
|
||||
th(data-col="name"): +sortableLinks("name") County/Region
|
||||
th.text-center(data-col="population"): +sortableLinks("population") Population
|
||||
th.text-center(data-col="total"): +sortableLinks("total") Deaths
|
||||
th.text-center(data-col="million"): +sortableLinks("million") …1/M
|
||||
th.text-center.sorted(data-col="yesterday"): +sortableLinks("yesterday") …since yesterday
|
||||
th.text-center(data-col="week"): +sortableLinks("week") …since last week
|
||||
th.text-center(data-col="month"): +sortableLinks("month") …month-to-date
|
||||
th.text-center(data-col="growth"): +sortableLinks("growth") …growth rate
|
||||
th Last 14 days
|
||||
|
||||
-
|
||||
@ -32,17 +35,30 @@ block main
|
||||
- const yesterday = item.timeSeriesDaily[item.timeSeriesDaily.length - 1].delta || 0;
|
||||
- const lastWeek = item.timeSeriesDaily[item.timeSeriesDaily.length - 1].value - item.timeSeriesDaily[item.timeSeriesDaily.length - 7].value;
|
||||
- const lastMonth = item.timeSeriesMonthly[item.timeSeriesMonthly.length - 1].delta || 0;
|
||||
tr(id=("row-" + item.countySafeName) data-name=item.county data-total=item.total data-yesterday=yesterday data-week=lastWeek data-month=lastMonth)
|
||||
tr(
|
||||
id=("row-" + item.countySafeName)
|
||||
data-name=item.county
|
||||
data-population=item.population
|
||||
data-total=item.total
|
||||
data-million=item.deathsPerMillion
|
||||
data-yesterday=yesterday
|
||||
data-week=lastWeek
|
||||
data-month=lastMonth
|
||||
data-growth=item.deathGrowthRate
|
||||
)
|
||||
td.sort-order= i + 1
|
||||
td
|
||||
if item.county
|
||||
= item.county
|
||||
else
|
||||
em.text-muted Other #{item.state}
|
||||
td.text-right: +formatNumber(item.population)
|
||||
td.text-right: +formatNumber(item.total)
|
||||
td.text-right: +formatNumber(Math.round(item.deathsPerMillion))
|
||||
td.text-right.sorted: +formatNumber(yesterday)
|
||||
td.text-right: +formatNumber(lastWeek)
|
||||
td.text-right: +formatNumber(lastMonth)
|
||||
td.text-right= Number(item.deathGrowthRate * 100).toFixed(2) + '%'
|
||||
td
|
||||
canvas(id="sparkline-" + i width="200" height="50")
|
||||
script.
|
||||
|
||||
@ -9,11 +9,14 @@ block main
|
||||
thead: tr
|
||||
th #
|
||||
th(data-col="name"): +sortableLinks("name") Country
|
||||
th.text-center(data-col="population"): +sortableLinks("population") Population
|
||||
th.text-center(data-col="total"): +sortableLinks("total") Deaths
|
||||
th.text-center(data-col="million"): +sortableLinks("million") …/1M
|
||||
th.text-center.sorted(data-col="yesterday"): +sortableLinks("yesterday") …since yesterday
|
||||
th.text-center(data-col="week"): +sortableLinks("week") …since last week
|
||||
th.text-center(data-col="month"): +sortableLinks("month") …month-to-date
|
||||
th Last 14 days
|
||||
th.text-center(data-col="growth"): +sortableLinks("growth") …growth rate
|
||||
th.text-center Last 14 days
|
||||
-
|
||||
data.countries.sort((a, b) => {
|
||||
const yesterdayA = a.timeSeriesDaily[a.timeSeriesDaily.length - 1].delta;
|
||||
@ -29,15 +32,28 @@ block main
|
||||
- const yesterday = item.timeSeriesDaily[item.timeSeriesDaily.length - 1].delta || 0;
|
||||
- const lastWeek = item.timeSeriesDaily[item.timeSeriesDaily.length - 1].value - item.timeSeriesDaily[item.timeSeriesDaily.length - 7].value;
|
||||
- const lastMonth = item.timeSeriesMonthly[item.timeSeriesMonthly.length - 1].delta || 0;
|
||||
tr(id="row-" + item.safeName data-name=item.name data-total=item.total data-yesterday=yesterday data-week=lastWeek data-month=lastMonth)
|
||||
tr(
|
||||
id=("row-" + item.safeName)
|
||||
data-name=item.name
|
||||
data-population=item.population
|
||||
data-total=item.total
|
||||
data-million=item.deathsPerMillion
|
||||
data-yesterday=yesterday
|
||||
data-week=lastWeek
|
||||
data-month=lastMonth
|
||||
data-growth=item.deathGrowthRate
|
||||
)
|
||||
td.sort-order= i + 1
|
||||
td: a(href="./countries/" + item.safeName + ".html")= item.name
|
||||
td: a.d-inline-block.text-truncate(href="./countries/" + item.safeName + ".html" style="max-width: 125px")= item.name
|
||||
td.text-right: +formatNumber(item.population)
|
||||
td.text-right: +formatNumber(item.total)
|
||||
td.text-right: +formatNumber(Math.round(item.deathsPerMillion))
|
||||
td.text-right.sorted: +formatNumber(yesterday)
|
||||
td.text-right: +formatNumber(lastWeek)
|
||||
td.text-right: +formatNumber(lastMonth)
|
||||
td.text-right= Number(item.deathGrowthRate * 100).toFixed(2) + '%'
|
||||
td
|
||||
canvas(id="sparkline-" + i width="200" height="50")
|
||||
canvas.mx-auto(id="sparkline-" + i width="200" height="50")
|
||||
script.
|
||||
makeSparkline(
|
||||
"sparkline-#{i}",
|
||||
|
||||
Loading…
Reference in New Issue
Block a user