WHO Covid diagram set
The World Health Organization issued daily COVID-19 Situation Reports from 26 Jan 2020 to 16 Aug 2020, and then changed to Weekly Epidemiological Updates until 13 Jun 2021; after that, no per-country figures are found in these publications.
- The following visualization sets are based on both report types, and cover the time range 26 Jan 2020 to 13 Jun 2021, on a weekly basis:
- #Available cumulated diagrams Jan 2020 - Jun 2021 (weekly): "Total Confirmed Cases" and "Total Deaths"
- #Available incremental diagrams Jan 2020 - Jun 2021 (weekly): increments of "Total Confirmed Cases" and "Total Deaths"
- #Available per capita diagrams Jan 2020 - Jun 2021 (weekly): "Total Confirmed Cases" and "Total Deaths" per capita
- #Available cumulated diagrams Jan 2020 - Jun 2021 (weekly, linear scale): "Total Confirmed Cases" and "Total Deaths", linear scale
- #Available region diagrams Jan 2020 - Jun 2021 (weekly): "Total Confirmed Cases" and "Total Deaths", ordered alphabetically by region name and country name (includes gnuplot source code)
- #Available country diagrams Jan 2020 - Jun 2021 (weekly): "Total Confirmed Cases" and "Total Deaths" and their increments, one diagram per country, linear scales; for some countries, Svg versions are available, too (on demand).
- The following visualization sets are based on the WHO Situation Reports only, and cover the time range 26 Jan 2020 to 16 Aug 2020, on a daily basis (all include gnuplot source code):
- #Available cumulated diagrams Jan-Aug 2020 (daily): "Total Confirmed Cases" and "Total Deaths"
- #Available incremental diagrams Jan-Aug 2020 (daily): smoothed increments of "Total Confirmed Cases" and "Total Deaths"
- #Available per capita diagrams Jan-Aug 2020 (daily): "Total Confirmed Cases" and "Total Deaths" per capita
- #Available cumulated diagrams Jan-Aug 2020 (daily, linear scale): "Total Confirmed Cases" and "Total Deaths", linear scale
- #Available country diagrams Jan-Aug 2020 (daily): "Total Confirmed Cases" and "Total Deaths" and their smoothed increments, one diagram per country, linear scales
Unless otherwise noted, logarithmic scale is used, and countries are ordered descendingly by number of "Total Confirmed Cases" on the last displayed day.
-
Cumulated (weekly, Jan 2020 - Jun 2021) -
Incremental (weekly, Jan 2020 - Jun 2021) -
Per capita (weekly, Jan 2020 - Jun 2021) -
Cumulated (linear scale, weekly, Jan 2020 - Jun 2021) -
By WHO region (weekly, Jan 2020 - Jun 2021) -
Single country (weekly, Jan 2020 - Jun 2021) -
Single country (svg, weekly, Jan 2020 - Jun 2021))
-
Cumulated (daily, Jan-Aug 2020) -
Incremental (daily, Jan-Aug 2020) -
Per capita (daily, Jan-Aug 2020) -
Cumulated (linear scale, daily, Jan-Aug 2020) -
Single country (daily, Jan-Aug 2020)
Available cumulated diagrams Jan 2020 - Jun 2021 (weekly)
editFile:WHO Covid c confirmed,deaths01.pdf * File:WHO Covid c confirmed,deaths02.pdf * File:WHO Covid c confirmed,deaths03.pdf * File:WHO Covid c confirmed,deaths04.pdf * File:WHO Covid c confirmed,deaths05.pdf * File:WHO Covid c confirmed,deaths06.pdf * File:WHO Covid c confirmed,deaths07.pdf * File:WHO Covid c confirmed,deaths08.pdf * File:WHO Covid c confirmed,deaths09.pdf * File:WHO Covid c confirmed,deaths10.pdf * File:WHO Covid c confirmed,deaths11.pdf * File:WHO Covid c confirmed,deaths12.pdf * File:WHO Covid c confirmed,deaths13.pdf * File:WHO Covid c confirmed,deaths14.pdf * File:WHO Covid c confirmed,deaths15.pdf * File:WHO Covid c confirmed,deaths16.pdf * File:WHO Covid c confirmed,deaths17.pdf * File:WHO Covid c confirmed,deaths18.pdf * File:WHO Covid c confirmed,deaths19.pdf * File:WHO Covid c confirmed,deaths20.pdf * File:WHO Covid c confirmed,deaths21.pdf * File:WHO Covid c confirmed,deaths22.pdf * File:WHO Covid c confirmed,deaths23.pdf * File:WHO Covid c confirmed,deaths24.pdf * File:WHO Covid c confirmed,deaths25.pdf * File:WHO Covid c confirmed,deaths26.pdf * File:WHO Covid c confirmed,deaths27.pdf * File:WHO Covid c confirmed,deaths28.pdf * File:WHO Covid c confirmed,deaths29.pdf * File:WHO Covid c confirmed,deaths30.pdf * File:WHO Covid c confirmed,deaths31.pdf * File:WHO Covid c confirmed,deaths32.pdf * File:WHO Covid c confirmed,deaths33.pdf
Available incremental diagrams Jan 2020 - Jun 2021 (weekly)
editFile:WHO Covid c -confirmed,-deaths01.pdf * File:WHO Covid c -confirmed,-deaths02.pdf * File:WHO Covid c -confirmed,-deaths03.pdf * File:WHO Covid c -confirmed,-deaths04.pdf * File:WHO Covid c -confirmed,-deaths05.pdf * File:WHO Covid c -confirmed,-deaths06.pdf * File:WHO Covid c -confirmed,-deaths07.pdf * File:WHO Covid c -confirmed,-deaths08.pdf * File:WHO Covid c -confirmed,-deaths09.pdf * File:WHO Covid c -confirmed,-deaths10.pdf * File:WHO Covid c -confirmed,-deaths11.pdf * File:WHO Covid c -confirmed,-deaths12.pdf * File:WHO Covid c -confirmed,-deaths13.pdf * File:WHO Covid c -confirmed,-deaths14.pdf * File:WHO Covid c -confirmed,-deaths15.pdf * File:WHO Covid c -confirmed,-deaths16.pdf * File:WHO Covid c -confirmed,-deaths17.pdf * File:WHO Covid c -confirmed,-deaths18.pdf * File:WHO Covid c -confirmed,-deaths19.pdf * File:WHO Covid c -confirmed,-deaths20.pdf * File:WHO Covid c -confirmed,-deaths21.pdf * File:WHO Covid c -confirmed,-deaths22.pdf * File:WHO Covid c -confirmed,-deaths23.pdf * File:WHO Covid c -confirmed,-deaths24.pdf * File:WHO Covid c -confirmed,-deaths25.pdf * File:WHO Covid c -confirmed,-deaths26.pdf * File:WHO Covid c -confirmed,-deaths27.pdf * File:WHO Covid c -confirmed,-deaths28.pdf * File:WHO Covid c -confirmed,-deaths29.pdf * File:WHO Covid c -confirmed,-deaths30.pdf * File:WHO Covid c -confirmed,-deaths31.pdf * File:WHO Covid c -confirmed,-deaths32.pdf * File:WHO Covid c -confirmed,-deaths33.pdf
Available per capita diagrams Jan 2020 - Jun 2021 (weekly)
editFile:WHO Covid c @confirmed,@deaths01.pdf * File:WHO Covid c @confirmed,@deaths02.pdf * File:WHO Covid c @confirmed,@deaths03.pdf * File:WHO Covid c @confirmed,@deaths04.pdf * File:WHO Covid c @confirmed,@deaths05.pdf * File:WHO Covid c @confirmed,@deaths06.pdf * File:WHO Covid c @confirmed,@deaths07.pdf * File:WHO Covid c @confirmed,@deaths08.pdf * File:WHO Covid c @confirmed,@deaths09.pdf * File:WHO Covid c @confirmed,@deaths10.pdf * File:WHO Covid c @confirmed,@deaths11.pdf * File:WHO Covid c @confirmed,@deaths12.pdf * File:WHO Covid c @confirmed,@deaths13.pdf * File:WHO Covid c @confirmed,@deaths14.pdf * File:WHO Covid c @confirmed,@deaths15.pdf * File:WHO Covid c @confirmed,@deaths16.pdf * File:WHO Covid c @confirmed,@deaths17.pdf * File:WHO Covid c @confirmed,@deaths18.pdf * File:WHO Covid c @confirmed,@deaths19.pdf * File:WHO Covid c @confirmed,@deaths20.pdf * File:WHO Covid c @confirmed,@deaths21.pdf * File:WHO Covid c @confirmed,@deaths22.pdf * File:WHO Covid c @confirmed,@deaths23.pdf * File:WHO Covid c @confirmed,@deaths24.pdf * File:WHO Covid c @confirmed,@deaths25.pdf * File:WHO Covid c @confirmed,@deaths26.pdf * File:WHO Covid c @confirmed,@deaths27.pdf * File:WHO Covid c @confirmed,@deaths28.pdf * File:WHO Covid c @confirmed,@deaths29.pdf * File:WHO Covid c @confirmed,@deaths30.pdf * File:WHO Covid c @confirmed,@deaths31.pdf * File:WHO Covid c @confirmed,@deaths32.pdf * File:WHO Covid c @confirmed,@deaths33.pdf
Used population data
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# Source [[:en:List of countries and dependencies by population]]: India 1360577267 USA 329562061 Indonesia 266911900 Pakistan 219159520 Brazil 211341126 Nigeria 206139587 Bangladesh 168377546 Russia 146745098 Mexico 126577691 Japan 125950000 Philippines 108490871 Egypt 100204059 Ethiopia 98665000 Vietnam 96208984 DR_Congo 89561404 Iran 83333792 Turkey 83154997 Germany 83149300 France 67076000 Thailand 66488992 UK 66435550 Italy 60243406 South_Africa 58775022 Tanzania 55890747 Myanmar 54339766 R_Korea 51780579 Colombia 49395678 Kenya 47564296 Spain 47100396 Argentina 44938712 Algeria 43000000 Sudan 42395775 Ukraine 41879904 Uganda 40299300 Iraq 39127900 Poland 38379000 Canada 37980263 Morocco 35857667 Saudi_Arabia 34218169 Uzbekistan 34105598 Malaysia 32738760 Afghanistan 32225560 Venezuela 32219521 Peru 32131400 Angola 31127674 Ghana 30280811 Mozambique 30066648 Nepal 29996478 Yemen 29825968 Cameroon 26545864 Madagascar 26251309 Cote_dIvoire 25823071 Australia 25666366 North_Korea 25450000 Taiwan 23604265 Niger 22314743 Sri_Lanka 21803000 Burkina_Faso 20870060 Mali 19973000 Romania 19405156 Malawi 19129952 Chile 19107216 Kazakhstan 18675088 Zambia 17885422 Syria 17500657 Ecuador 17457400 Netherlands 17451381 Guatemala 16604026 Chad 16244513 Senegal 16209125 Somalia 15893219 Cambodia 15288489 Zimbabwe 15159624 South_Sudan 12778250 Rwanda 12374397 Guinea 12218357 Benin 11733059 Tunisia 11722038 Haiti 11577779 Belgium 11524454 Bolivia 11469896 Cuba 11209628 Burundi 10953317 Greece 10724599 Czechia 10693939 Jordan 10650120 Dominican_Republic 10358320 Sweden 10333456 Portugal 10276617 Azerbaijan 10067108 UAE 9890400 Hungary 9772756 Belarus 9413446 Israel 9180450 Honduras 9158345 Tajikistan 9127000 Papua_New_Guinea 8935000 Austria 8902600 Switzerland 8586550 Sierra_Leone 7901454 Togo 7538000 *Hong_Kong 7500700 Paraguay 7152703 Lao_PDR 7123205 Bulgaria 7000039 Serbia 6963764 Libya 6871287 Lebanon 6825442 Kyrgyzstan 6533500 El_Salvador 6486201 Nicaragua 6460411 Turkmenistan 6031187 Denmark 5822763 Singapore 5703600 Finland 5527573 Congo 5518092 Central_African_R 5496011 Slovakia 5456362 Norway 5367580 Costa_Rica 5058007 Palestine 4976684 New_Zealand 4975247 Ireland 4921500 Oman 4664790 Liberia 4475353 Kuwait 4420110 Panama 4218808 Mauritania 4077347 Croatia 4076246 Georgia 3723464 Uruguay 3518552 Eritrea 3497117 Mongolia 3310754 Bosnia_Herzegovina 3301000 Puerto_Rico 3193694 Armenia 2957500 Albania 2845955 Lithuania 2793471 Qatar 2747282 Jamaica 2726667 Moldova 2681735 Namibia 2458936 Gambia 2347706 Botswana 2338851 Gabon 2172579 Slovenia 2094060 N_Macedonia 2077132 Lesotho 2007201 Latvia 1906800 Kosovo 1795666 Guinea_Bissau 1604528 Bahrain 1543300 Timor_Leste 1387149 Trinidad_Tobago 1363985 Equatorial_Guinea 1358276 Estonia 1328360 Mauritius 1265985 Eswatini 1093238 Djibouti 1078373 Fiji 884887 Cyprus 875900 Comoros 873724 Guyana 782766 Bhutan 741672 Solomon_Is 680806 Macau 679600 Montenegro 622359 Luxembourg 613894 Western_Sahara 582463 Suriname 581372 Cabo_Verde 550483 Malta 493559 Transnistria 469000 Brunei_Darussalam 442400 Belize 408487 Bahamas 385340 Maldives 374775 Iceland 364260 Northern_Cyprus 351965 Vanuatu 304500 Barbados 287025 New_Caledonia 282200 Fr_Polynesia 275918 Abkhazia 244832 Sao_Tome_Principe 201784 Samoa 200874 St_Lucia 178696 Guam 172400 Curacao 158665 Artsakh 148000 Kiribati 120100 Aruba 112309 Grenada 112003 St_Vincent_Grenadines 110608 Jersey 106800 US_Virgin_Is 104578 FS_Micronesia 104468 Tonga 100651 Seychelles 97625 Antigua_Barbuda 96453 Isle_of_Man 83314 Andorra 77543 Dominica 71808 Cayman_Is 65813 Bermuda 64027 Guernsey 62792 American_Samoa 56700 Greenland 56081 N_Mariana_Is 56200 Marshall_Is 55500 South_Ossetia 53532 St_Kitts_Nevis 52823 Faroe_Is 52124 Turks_Caicos_Is 41369 St_Maarten 40614 Liechtenstein 38749 Monaco 38300 St_Martin 35746 Gibraltar 33701 San_Marino 33574 Br_Virgin_Is 30030 Aland_Is 29885 Palau 17900 Cook_Is 15200 Anguilla 14869 Wallis_Futuna 11700 Nauru 11000 Tuvalu 10200 St_Barthelemy 9793 St_Pierre_Miquelon 6008 St_Helena_Ascension_Tristan_da_Cunha 5633 Montserrat 4989 Falkland_Is 3198 Christmas_Is 1928 Norfolk_Is 1756 Niue 1520 Tokelau 1400 Holy_See 799 Pitcairn_Is 50 # Source [[:en:French Guiana]] Fr_Guiana 290691 # Source [[:en:Martinique]] (2016) Martinique 376480 # Source [[:en:Réunion]] Reunion 859959 # Source [[:en:Guadeloupe]] (2016) Guadeloupe 395700 # Source [[:en:Mayotte]] Mayotte 279471 # Source [[:en:Caribbean Netherlands]] (2019) Bonaire_St_Eustatius_Saba 25157 # China's population is obtained from the WHO situation reports |
Available cumulated diagrams Jan 2020 - Jun 2021 (weekly, linear scale)
editFile:WHO Covid c confirmed,deaths lin01.pdf * File:WHO Covid c confirmed,deaths lin02.pdf * File:WHO Covid c confirmed,deaths lin03.pdf * File:WHO Covid c confirmed,deaths lin04.pdf * File:WHO Covid c confirmed,deaths lin05.pdf
Available region diagrams Jan 2020 - Jun 2021 (weekly)
editAfrican Region
edit- File:WHO Covid rn confirmed,deaths African Region01.pdf: Algeria * Angola * Benin * Botswana * Burkina_Faso * Burundi * Cabo_Verde * Cameroon
- File:WHO Covid rn confirmed,deaths African Region02.pdf: Central_African_R * Chad * Comoros * Congo * Cote_dIvoire * DR_Congo * Equatorial_Guinea * Eritrea
- File:WHO Covid rn confirmed,deaths African Region03.pdf: Eswatini * Ethiopia * Gabon * Gambia * Ghana * Guinea * Guinea_Bissau * Kenya
- File:WHO Covid rn confirmed,deaths African Region04.pdf: Lesotho * Liberia * Madagascar * Malawi * Mali * Mauritania * Mauritius * Mayotte
- File:WHO Covid rn confirmed,deaths African Region05.pdf: Mozambique * Namibia * Niger * Nigeria * Reunion * Rwanda * Sao_Tome_Principe * Senegal
- File:WHO Covid rn confirmed,deaths African Region06.pdf: Seychelles * Sierra_Leone * South_Africa * South_Sudan * Tanzania * Togo * Uganda * Zambia
- File:WHO Covid rn confirmed,deaths African Region07.pdf: Zimbabwe
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_African_Region01.gp"
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set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_African_Region01.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths African_Region by name [01]"
$data <<EOF
week day Algeria Angola Benin Botswana Burkina_Faso Burundi Cabo_Verde Cameroon Algeria Angola Benin Botswana Burkina_Faso Burundi Cabo_Verde Cameroon
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - - - - - - - - - - - - - -
8 23 - - - - - - - - - - - - - - - -
9 Mar 1 - - - - - - - 0.00001 - - - - - - -
10 8 17 - - - - - - 2 0.00001 - - - - - - 0.00001
11 15 37 - - - 3 - - 3 3 - - - 0.00001 - - 0.00001
12 22 94 2 2 - 72 - 3 27 15 0.00001 0.00001 - 3 - 0.00001 0.00001
13 "" 409 2 6 - 146 - 5 91 26 0.00001 0.00001 - 3 - 1 2
14 Apr 1251 10 13 4 302 3 5 555 130 2 0.00001 1 15 0.00001 1 9
15 12 1825 19 35 13 443 3 7 803 275 2 2 1 19 0.00001 1 10
16 19 2534 19 37 15 547 5 55 1016 367 2 1 1 32 0.00001 1 21
17 "" 3256 25 58 22 629 12 90 1518 419 2 1 1 41 1 1 53
18 May 4295 35 90 23 652 19 152 2077 459 2 2 1 44 1 2 64
19 10 5558 43 284 23 748 19 236 2335 494 2 2 1 48 1 2 110
20 17 6821 48 339 25 782 27 328 3047 542 2 2 1 51 1 3 139
21 24 8113 60 135 29 831 42 371 4400 592 3 3 1 52 1 3 159
22 "" 9267 84 232 35 853 42 421 5659 646 4 3 1 53 1 4 185
23 Jun 10050 86 268 40 888 83 542 7599 698 4 4 1 53 1 5 212
24 14 10810 138 412 60 892 94 726 8743 760 6 6 1 53 1 6 270
25 21 11631 172 650 89 901 144 863 10638 837 8 11 1 53 1 8 282
26 "" 12968 259 1124 125 954 144 1091 12592 892 10 14 1 53 1 12 313
27 Jul 15500 346 1199 275 987 191 1420 12592 946 19 21 1 53 1 16 313
28 12 18712 483 1378 314 1020 250 1623 14916 1004 25 26 1 54 1 19 359
29 19 22549 687 1602 522 1047 310 2014 16157 1068 29 31 1 53 1 21 373
30 "" 26159 916 1694 686 1081 345 2258 16708 1136 39 34 1 53 1 22 385
31 Aug 30950 1148 1805 804 1143 387 2480 17255 1223 52 36 2 53 1 24 391
32 9 34693 1572 1936 804 1175 405 2835 18042 1293 70 38 2 54 1 32 395
33 16 38133 1879 2063 1214 1240 413 3163 18469 1360 86 39 3 54 1 34 401
34 23 41068 2134 2115 1308 1297 430 3455 18762 1424 94 39 3 55 1 37 408
35 "" 43782 2551 2145 1633 1357 445 3778 19142 1491 107 40 6 55 1 39 411
36 Sep 46071 2935 2213 2002 1408 462 4275 19604 1549 117 40 8 55 1 42 415
37 13 48007 3335 2242 2252 1499 472 4711 20167 1605 132 40 10 56 1 44 415
38 20 49623 3901 2280 2567 1797 473 5186 20431 1665 147 40 13 56 1 50 416
39 "" 50914 4672 2325 2921 1929 484 5701 20735 1711 171 40 13 56 1 56 418
40 Oct 51995 5370 2357 3172 2088 513 6296 20838 1756 189 41 16 58 1 62 418
41 11 52940 6246 2411 3219 2241 524 6913 21160 1795 218 41 18 60 1 74 420
42 18 54616 7829 2496 5242 2387 550 7800 21570 1865 248 41 20 65 1 87 425
43 "" 55630 9644 2557 5923 2459 558 8423 21793 1897 270 41 21 67 1 94 426
44 Nov 57651 10805 2643 6642 2500 589 8793 21793 1956 284 41 24 67 1 95 426
45 8 60169 12335 2745 7835 2565 614 9291 22342 2011 303 43 27 67 1 100 429
46 15 65975 13374 2844 8225 2635 628 9780 22692 2125 322 43 27 68 1 102 433
47 22 73774 14413 2916 9594 2703 662 10234 23528 2258 336 43 31 68 1 104 435
48 "" 81212 15087 2974 9992 2816 681 10526 24117 2393 345 43 31 68 1 104 437
49 Dec 87502 15536 3055 9992 3156 694 10626 24752 2501 354 44 31 68 1 105 443
50 13 91638 16161 3090 12501 3894 729 11302 25143 2584 366 44 37 71 1 110 443
51 20 94781 16626 3152 12873 4954 761 11567 25849 2659 386 44 38 74 2 111 448
52 "" 97857 17149 3205 13622 6255 804 11698 26277 2722 399 44 38 77 2 112 448
53 Jan 100159 17608 3251 14805 6940 833 11883 26848 2769 407 44 42 86 2 113 448
54 10 101913 18156 3304 16051 7866 986 12237 26848 2803 416 44 48 89 2 114 448
55 17 103611 18765 3413 16051 9000 1236 12901 27336 2831 431 46 48 101 2 119 451
56 24 105369 19367 3643 18630 9967 1472 13414 29617 2861 457 48 88 109 2 124 462
57 "" 107122 19782 3786 21293 10580 1632 13981 29617 2888 464 48 134 120 2 133 462
58 Feb 108852 20062 4193 23503 11227 1723 14380 30313 2911 475 55 163 134 3 135 474
59 14 110513 20329 4560 24926 11588 1824 14700 31394 2935 491 56 202 138 3 139 474
60 21 111764 20499 5143 26524 11783 2031 14999 33749 2958 498 65 254 139 3 143 523
61 "" 112960 20782 5634 28370 11982 2209 15324 33749 2979 506 70 310 142 3 147 523
62 Mar 114104 21055 6071 31658 12153 2319 15724 35714 3010 512 75 359 143 3 152 551
63 14 115273 21323 6501 34098 12350 2441 16035 38988 3037 520 81 424 144 3 156 588
64 21 116066 21696 6818 35493 12516 2613 16440 38988 3055 526 90 458 145 6 159 588
65 "" 116750 22031 7100 38466 12673 2757 17018 47669 3077 533 90 506 145 6 165 721
66 Apr 117524 22579 7313 40878 12803 2911 17821 53920 3102 540 93 591 150 6 171 779
67 11 118378 23331 7515 42674 12956 3154 18629 57337 3126 550 93 636 152 6 177 851
68 18 119486 24300 7611 44075 13114 3612 19975 61731 3152 561 96 671 154 6 189 919
69 "" 120736 25492 7720 45855 13231 3853 21784 65998 3198 577 97 691 156 6 201 991
70 May 122311 26815 7821 46934 13319 4038 24127 70607 3261 600 99 712 157 6 220 1064
71 9 123900 28477 7884 48417 13377 4177 26111 74733 3321 630 100 734 162 6 232 1144
72 16 125194 30354 7984 52162 13395 4329 27951 74733 3366 655 101 761 164 6 246 1144
73 23 126651 32149 8025 54151 13414 4494 29198 76756 3411 715 101 784 165 6 256 1230
74 "" 128456 34180 8058 56313 13430 4754 30273 77982 3460 757 101 831 166 6 263 1270
75 Jun 130681 35594 8082 58764 13452 4905 31003 78929 3510 794 102 866 167 8 267 1275
76 13 133070 36600 8109 62040 13459 5013 31571 79904 3565 825 102 896 167 8 273 1302
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_African_Region02.gp"
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set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_African_Region02.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths African_Region by name [02]"
$data <<EOF
week day Central_African_R Chad Comoros Congo Cote_dIvoire DR_Congo Equatorial_Guinea Eritrea Central_African_R Chad Comoros Congo Cote_dIvoire DR_Congo Equatorial_Guinea Eritrea
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - - - - - - - - - - - - - -
8 23 - - - - - - - - - - - - - - - -
9 Mar - - - - - - - - - - - - - - - -
10 8 - - - - - - - - - - - - - - - -
11 15 1 - - 1 3 2 1 - 0.00001 - - 0.00001 0.00001 0.00001 0.00001 -
12 22 3 1 - 4 9 23 6 1 0.00001 0.00001 - 0.00001 0.00001 1 0.00001 0.00001
13 "" 6 5 - 19 140 68 6 6 0.00001 0.00001 - 0.00001 0.00001 6 0.00001 0.00001
14 Apr 9 7 - 45 245 148 16 20 0.00001 0.00001 - 5 2 16 0.00001 0.00001
15 12 11 11 - 60 533 223 18 33 0.00001 0.00001 - 5 4 20 0.00001 0.00001
16 19 12 33 - 143 742 327 79 39 0.00001 0.00001 - 6 6 25 0.00001 0.00001
17 "" 19 46 - 200 1111 442 258 39 0.00001 0.00001 - 8 14 28 1 0.00001
18 May 72 117 3 229 1362 674 315 39 0.00001 10 0.00001 10 15 33 2 0.00001
19 10 143 322 11 287 1667 991 439 39 0.00001 31 1 10 21 41 4 0.00001
20 17 301 474 11 391 2061 1454 690 39 0.00001 50 1 15 25 60 7 0.00001
21 24 552 648 34 487 2366 2140 1043 39 1 60 1 16 30 62 12 0.00001
22 "" 874 759 43 587 2799 2965 1043 39 1 65 2 19 33 68 12 0.00001
23 Jun 1570 836 97 653 3557 3877 1043 41 5 69 2 20 36 81 12 0.00001
24 14 2057 848 176 779 4848 4723 1043 65 7 72 2 25 45 105 12 0.00001
25 21 2808 858 247 883 7276 5671 1043 142 23 74 5 27 52 124 12 0.00001
26 "" 3340 865 272 1245 8944 6689 1043 191 40 74 7 40 66 152 12 0.00001
27 Jul 3969 871 309 1557 10244 7378 1043 215 48 74 7 44 70 181 12 0.00001
28 12 4288 874 314 2103 12052 7970 1043 232 53 74 7 47 81 188 12 0.00001
29 19 4485 889 328 2633 13696 8249 2350 251 55 75 7 49 87 192 41 0.00001
30 "" 4598 915 340 3038 15494 8766 2350 263 59 75 7 51 94 200 41 0.00001
31 Aug 4614 936 382 3387 16109 9069 4821 279 59 75 7 56 102 214 83 0.00001
32 9 4641 942 399 3664 16620 9435 4821 285 59 76 7 58 104 218 83 0.00001
33 16 4652 952 405 3831 16993 9637 4821 285 61 76 7 76 108 239 83 0.00001
34 23 4679 982 417 3850 17374 9810 4926 306 61 76 7 77 113 251 83 0.00001
35 "" 4700 1008 423 3979 17893 9993 4941 318 61 77 7 78 115 255 83 0.00001
36 Sep 4729 1034 448 4628 18269 10148 4972 330 62 77 7 102 119 259 83 0.00001
37 13 4749 1083 456 4934 18987 10384 4996 361 62 80 7 88 120 262 83 0.00001
38 20 4793 1149 470 4986 19200 10487 5002 364 62 81 7 89 120 268 83 0.00001
39 "" 4806 1177 474 5008 19556 10592 5028 375 62 83 7 89 120 271 83 0.00001
40 Oct 4845 1211 484 5089 19793 10751 5045 398 62 85 7 89 120 274 83 0.00001
41 11 4854 1291 491 5118 20036 10840 5063 414 62 92 7 90 120 276 83 0.00001
42 18 4858 1390 502 5156 20324 11051 5074 425 62 93 7 92 121 303 83 0.00001
43 "" 4863 1441 517 5253 20470 11173 5079 461 62 96 7 92 122 305 83 0.00001
44 Nov 4866 1483 530 5290 20692 11305 5088 463 62 98 7 92 124 307 83 0.00001
45 8 4879 1543 557 5379 20801 11516 5092 491 62 99 7 92 126 315 85 0.00001
46 15 4900 1591 574 5515 20945 11759 5104 493 63 100 7 92 128 318 85 0.00001
47 22 4911 1633 592 5632 21126 12179 5130 551 63 101 7 93 129 327 85 0.00001
48 "" 4913 1663 610 5774 21261 12607 5153 577 63 101 7 94 131 333 85 0.00001
49 Dec 4922 1722 615 5774 21441 13526 5159 632 63 102 7 94 132 344 85 0.00001
50 13 4936 1739 624 6049 21639 14341 5185 656 63 102 7 99 133 352 85 0.00001
51 20 4936 1867 643 6200 21772 15210 5214 754 63 102 7 100 133 369 85 0.00001
52 "" 4948 1986 715 6200 22081 16280 5236 992 63 103 7 100 133 566 85 1
53 Jan 4963 2169 864 6200 22250 17848 5277 1320 63 104 13 100 137 591 86 3
54 10 4973 2510 1150 7160 23254 18967 5289 1556 63 107 18 100 138 610 86 6
55 17 4973 2855 1577 7709 24856 20625 5356 1877 63 111 41 114 141 629 86 6
56 24 4980 3137 2260 7794 26612 21868 5401 1940 63 115 70 117 145 660 86 6
57 "" 4981 3347 2718 7887 28178 22603 5516 2135 63 118 90 117 152 671 86 7
58 Feb 4989 3473 3086 8060 29567 23484 5578 2326 63 125 108 122 162 679 86 7
59 14 4996 3622 3332 8419 30884 24239 5694 2429 63 127 128 123 173 692 87 7
60 21 4996 3794 3490 8625 31914 25079 5798 2685 63 133 143 127 185 700 89 7
61 "" 4997 3973 3571 8820 32631 25791 6005 2847 63 140 144 128 192 707 91 7
62 Mar 5021 4161 3591 9179 34935 26468 6329 2944 63 140 145 131 200 712 96 7
63 14 5021 4288 3623 9329 37304 26937 6562 3038 63 153 146 131 211 717 98 7
64 21 5087 4410 3665 9564 39913 27467 6736 3118 64 157 146 134 217 726 100 7
65 "" 5087 4501 3690 9681 42468 27886 6902 3208 64 160 146 135 229 734 102 9
66 Apr 5245 4589 3782 9681 44326 28292 7008 3334 72 164 146 135 247 745 103 10
67 11 5465 4616 3831 10084 45145 28542 7219 3447 74 167 146 137 261 745 106 10
68 18 5787 4691 3815 10084 45519 28894 7259 3491 75 168 146 137 274 745 106 10
69 "" 6224 4752 3829 10678 45820 29498 7559 3605 85 169 146 144 281 756 107 10
70 May 6411 4824 3908 10678 46114 29904 7694 3671 88 170 146 144 286 768 112 10
71 9 6674 4874 3922 11147 46344 30285 7694 3742 93 171 146 148 291 772 112 12
72 16 6866 4901 3930 11343 46619 30546 7694 3844 95 173 146 148 297 776 112 12
73 23 7010 4923 3940 11476 46942 30863 8436 3932 96 173 146 150 298 779 113 14
74 "" 7085 4928 3949 11658 47195 31416 8529 4061 98 173 146 153 301 782 118 14
75 Jun 7101 4939 3956 11920 47476 32796 8626 4461 98 174 146 155 306 797 118 14
76 13 7101 4942 3964 11920 47662 34949 8650 4848 98 174 146 155 306 834 120 16
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_African_Region03.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_African_Region03.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths African_Region by name [03]"
$data <<EOF
week day Eswatini Ethiopia Gabon Gambia Ghana Guinea Guinea_Bissau Kenya Eswatini Ethiopia Gabon Gambia Ghana Guinea Guinea_Bissau Kenya
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - - - - - - - - - - - - - -
8 23 - - - - - - - - - - - - - - - -
9 Mar - - - - - - - - - - - - - - - -
10 8 - - - - - - - - - - - - - - - -
11 15 1 1 1 - 2 1 - 1 0.00001 0.00001 0.00001 - 0.00001 0.00001 - 0.00001
12 22 1 9 3 1 19 2 - 7 0.00001 0.00001 1 0.00001 0.00001 0.00001 - 0.00001
13 "" 9 16 7 3 137 8 2 25 0.00001 0.00001 1 1 4 0.00001 0.00001 1
14 Apr 9 38 21 4 205 111 18 122 0.00001 0.00001 1 1 5 0.00001 0.00001 4
15 12 12 69 49 9 408 250 38 191 0.00001 3 1 1 8 0.00001 0.00001 7
16 19 22 105 108 9 834 477 50 262 1 3 1 1 9 3 0.00001 12
17 "" 56 122 176 10 1279 996 52 343 1 3 3 1 10 7 0.00001 14
18 May 108 133 335 17 2169 1586 260 435 1 3 5 1 18 7 1 22
19 10 163 210 661 20 4263 2042 642 649 2 5 8 1 22 11 3 30
20 17 202 306 1320 23 5735 2658 913 830 2 5 11 1 29 16 3 50
21 24 238 494 1934 25 6617 3176 1114 1192 2 5 12 1 31 20 6 50
22 "" 283 1063 2613 25 7768 3706 1256 1888 2 8 15 1 35 23 8 63
23 Jun 322 1934 3101 26 9462 4117 1368 2600 3 20 21 1 44 23 12 83
24 14 486 3166 3463 28 11118 4484 1460 3457 3 55 23 1 48 25 15 100
25 21 627 4469 4428 37 13717 4960 1512 4478 5 72 34 2 85 27 16 121
26 "" 745 5570 5209 45 16431 5291 1614 5811 8 94 40 2 103 30 21 141
27 Jul 954 6386 5620 57 19388 5570 1765 7577 13 116 44 2 117 34 25 159
28 12 1311 7560 5942 64 24248 6044 1842 9726 18 127 46 3 135 37 25 184
29 19 1729 9503 6121 93 27060 6491 1950 12750 21 167 46 4 145 39 26 225
30 "" 2142 13248 6984 216 31851 6927 1954 16643 28 209 49 6 161 42 26 278
31 Aug 2706 17999 7531 498 35501 7308 1981 21363 42 284 50 9 182 46 27 364
32 9 3128 22253 7923 1090 40533 7875 2052 25837 56 390 51 19 206 50 29 418
33 16 3745 28894 8225 1689 42210 8343 2117 29849 69 509 51 54 231 50 33 472
34 23 4189 39033 8388 2437 43325 8967 2149 32118 83 662 53 84 261 53 33 542
35 "" 4510 49654 8505 2797 43949 9251 2149 33794 91 770 53 96 270 59 33 572
36 Sep 4819 57466 8601 3120 44777 9722 2245 35020 94 897 53 99 283 61 38 594
37 13 5050 63888 8643 3376 45434 10020 2275 35963 98 996 53 102 286 63 39 619
38 20 5245 68131 8696 3504 45877 10286 2303 36829 104 1089 53 108 297 63 39 646
39 "" 5419 72700 8728 3564 46222 10548 2324 37871 108 1165 54 110 299 66 39 689
40 Oct 5530 76988 8797 3590 46768 10735 2362 38923 111 1207 54 115 301 66 39 725
41 11 5660 83429 8815 3628 46987 10996 2385 41158 113 1277 54 117 306 69 40 760
42 18 5788 89860 8884 3655 47372 11518 2403 45076 116 1365 54 118 310 70 41 839
43 "" 5863 93707 8937 3660 47690 11669 2403 49997 116 1437 54 119 316 71 41 920
44 Nov 5917 96169 8968 3670 48055 12072 2413 55192 117 1469 55 119 320 72 41 996
45 8 5989 99204 9022 3681 48788 12400 2413 61769 117 1518 55 120 320 73 41 1103
46 15 6093 102321 9062 3702 50018 12585 2419 69273 119 1565 58 122 320 74 43 1249
47 22 6205 105352 9131 3726 50874 12798 2421 76404 119 1636 59 123 323 75 43 1366
48 "" 6406 108930 9191 3734 51379 13039 2422 82605 121 1695 59 123 323 76 43 1445
49 Dec 6495 112740 9254 3770 52096 13207 2441 87984 122 1745 60 123 325 76 44 1518
50 13 6714 115360 9330 3782 52933 13420 2444 90305 127 1779 63 123 327 79 44 1568
51 20 7305 119494 9400 3788 53653 13532 2447 94151 137 1846 64 123 331 80 44 1633
52 "" 8367 122413 9497 3792 54286 13646 2447 95843 163 1901 64 123 333 80 45 1655
53 Jan 9711 125049 9571 3802 55064 13784 2447 96678 227 1944 64 124 335 81 45 1685
54 10 11180 127792 9694 3857 55772 13904 2447 98184 291 1985 66 125 336 81 45 1704
55 17 12736 130772 9899 3897 56981 14098 2478 99082 360 2029 66 127 341 81 45 1728
56 24 14330 133298 10278 3958 60115 14300 2531 99898 458 2063 67 128 361 81 45 1740
57 "" 15666 137021 10748 4090 65427 14475 2623 100675 562 2091 68 128 405 82 45 1755
58 Feb 16181 141453 11457 4237 70046 14665 2772 101690 604 2145 71 134 449 84 46 1776
59 14 16488 145704 12577 4302 75118 14895 2885 102792 630 2181 73 135 518 84 46 1795
60 21 16764 151857 13553 4543 79656 15303 3091 103993 645 2271 75 143 572 86 46 1817
61 "" 17002 158053 14564 4691 82586 15894 3247 105648 650 2354 83 148 594 89 48 1854
62 Mar 17173 165029 15517 4759 86092 16540 3312 108362 658 2420 90 152 640 93 49 1874
63 14 17234 174054 16660 4939 87762 17592 3436 112805 661 2540 96 153 685 102 52 1908
64 21 17283 185641 17297 5255 89276 18562 3558 120163 665 2647 105 161 716 108 55 1987
65 "" 17318 198794 18426 5401 90287 19501 3630 129330 666 2784 109 163 740 116 61 2104
66 Apr 17347 213311 19863 5459 90674 20319 3661 138077 668 2936 119 165 744 129 65 2206
67 11 17373 227255 20636 5602 91260 20807 3678 145184 669 3146 127 168 754 133 66 2330
68 18 18415 240236 21858 5733 91663 21460 3710 151287 671 3328 133 170 771 138 66 2463
69 "" 18440 250955 22433 5820 91928 21803 3724 156318 671 3531 138 173 777 139 67 2603
70 May 18458 258062 23075 5898 92601 22247 3736 160053 671 3709 139 174 779 144 67 2744
71 9 18477 262217 23432 5929 92856 22633 3739 163238 671 3871 143 175 783 150 67 2883
72 16 18519 265832 23799 5946 93243 22734 3746 165379 672 3976 143 175 783 151 67 3001
73 23 18550 268901 24107 5978 93583 22988 3749 168108 672 4068 147 178 783 158 68 3049
74 "" 18589 271200 24365 5993 93775 23172 3761 170485 672 4143 150 179 784 161 68 3141
75 Jun 18636 272805 24591 5999 94188 23255 3787 172325 673 4201 154 179 786 162 68 3264
76 13 18732 274028 24736 6008 94493 23389 3802 175176 676 4237 156 180 789 167 69 3396
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_African_Region04.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_African_Region04.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths African_Region by name [04]"
$data <<EOF
week day Lesotho Liberia Madagascar Malawi Mali Mauritania Mauritius Mayotte Lesotho Liberia Madagascar Malawi Mali Mauritania Mauritius Mayotte
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - - - - - - - - - - - - - -
8 23 - - - - - - - - - - - - - - - -
9 Mar - - - - - - - - - - - - - - - -
10 8 - - - - - - - - - - - - - - - -
11 15 - - - - - 1 - 1 - - - - - 0.00001 - 0.00001
12 22 - 3 3 - - 2 12 11 - 0.00001 0.00001 - - 0.00001 0.00001 0.00001
13 "" - 3 26 - 18 5 102 50 - 0.00001 0.00001 - 0.00001 0.00001 2 0.00001
14 Apr - 10 70 3 39 6 196 147 - 1 0.00001 0.00001 4 1 7 2
15 12 - 48 104 12 87 7 319 191 - 5 0.00001 2 7 1 9 2
16 19 - 81 120 17 216 7 325 245 - 7 0.00001 2 13 1 9 4
17 "" - 120 124 33 370 7 331 354 - 11 0.00001 3 21 1 9 4
18 May - 154 149 38 544 8 332 596 - 18 0.00001 3 26 1 10 6
19 10 - 199 169 56 692 8 332 890 - 20 0.00001 3 37 1 10 11
20 17 1 223 283 65 835 40 332 1258 0.00001 20 0.00001 3 48 4 10 16
21 24 2 255 488 83 1015 227 332 1521 0.00001 26 2 4 62 6 10 19
22 "" 2 280 758 279 1250 483 335 1743 0.00001 27 6 4 76 21 10 21
23 Jun 4 345 1026 409 1523 947 337 2079 0.00001 30 8 4 90 43 10 25
24 14 4 446 1252 529 1776 1573 337 2282 0.00001 32 10 5 104 81 10 29
25 21 4 601 1503 730 1933 2621 337 2404 0.00001 33 13 11 109 102 10 31
26 "" 24 684 2005 1038 2060 3907 341 2540 0.00001 34 16 13 113 120 10 35
27 Jul 79 833 2728 1613 2303 4705 341 2668 0.00001 37 29 17 118 129 10 36
28 12 184 998 4578 2261 2406 5126 342 2711 1 47 34 33 121 144 10 40
29 19 359 1088 6849 2907 2472 5710 343 2782 6 70 55 59 121 151 10 37
30 "" 446 1135 8866 3557 2503 6116 344 2873 11 71 78 94 123 156 10 38
31 Aug 702 1189 11273 4186 2535 6310 344 2962 14 75 107 120 124 157 10 39
32 9 742 1234 12922 4624 2565 6498 344 3068 23 79 141 143 125 157 10 39
33 16 903 1257 13724 5026 2614 6693 346 3119 25 82 166 157 125 157 10 39
34 23 1015 1285 14277 5382 2699 6894 346 3237 30 82 178 168 125 158 10 39
35 "" 1066 1303 14791 5528 2757 7012 346 3301 31 82 190 174 126 158 10 40
36 Sep 1148 1306 15269 5611 2833 7134 356 3374 31 82 199 175 126 160 10 40
37 13 1245 1311 15737 5669 2916 7274 361 3374 33 82 210 177 128 161 10 40
38 20 1390 1335 16020 5718 3006 7365 367 3541 33 82 219 179 128 161 10 40
39 "" 1558 1338 16257 5766 3080 7462 367 3541 35 82 229 179 130 161 10 40
40 Oct 1639 1347 16529 5783 3170 7511 381 3779 38 82 232 179 131 161 10 42
41 11 1767 1363 16702 5821 3273 7523 395 3989 40 82 237 180 132 161 10 43
42 18 1833 1381 16810 5860 3407 7621 407 4159 42 82 238 181 132 163 10 43
43 "" 1940 1416 16968 5894 3499 7663 439 4321 43 82 244 183 133 163 10 44
44 Nov 1947 1426 17111 5930 3554 7663 441 4366 43 82 244 184 136 163 10 44
45 8 1963 1442 17111 5948 3676 7725 452 4550 44 82 244 184 137 163 10 45
46 15 1967 1498 17233 5964 3868 7885 470 4921 44 82 249 185 139 165 10 46
47 22 2058 1554 17310 6003 4206 8075 491 5036 44 82 250 185 143 169 10 48
48 "" 2109 1595 17341 6025 4567 8424 501 5181 44 83 251 185 149 172 10 49
49 Dec 2137 1676 17513 6049 5062 8424 505 5181 44 83 255 185 163 172 10 49
50 13 2150 1676 17587 6118 5721 9679 514 5551 44 83 259 186 191 194 10 52
51 20 2285 1779 17587 6153 6164 10971 524 5708 44 83 259 187 220 225 10 53
52 "" 2577 1800 17633 6343 6574 10971 524 5767 50 83 260 188 249 225 10 54
53 Jan 2577 1800 17767 6711 7226 14364 527 5890 50 83 262 192 276 347 10 55
54 10 2577 1800 17767 8306 7565 15214 539 6232 50 83 262 220 295 378 10 56
55 17 6371 1887 18001 11785 7823 15893 547 6611 97 84 267 300 308 396 10 58
56 24 7656 1914 18301 18439 7965 16222 556 7544 123 84 273 470 323 410 10 59
57 "" 8278 1939 18743 23497 8069 16460 568 8231 160 84 279 687 330 418 10 61
58 Feb 9380 1956 19065 26875 8160 16777 584 10755 183 84 281 837 338 425 10 64
59 14 9852 1969 19360 28876 8226 16777 595 13535 225 84 285 937 342 425 10 78
60 21 10461 1988 19598 30528 8292 17083 603 15792 285 85 292 1004 347 434 10 92
61 "" 10491 2010 19831 31798 8365 17179 610 16861 292 85 297 1037 352 439 10 102
62 Mar 10523 2024 20155 32398 8560 17309 620 18140 307 85 300 1067 358 442 10 125
63 14 10530 2030 21356 32789 8862 17410 691 18642 309 85 326 1082 360 442 10 129
64 21 10535 2042 22113 33216 9270 17587 812 19006 309 85 340 1093 367 446 10 151
65 "" 10686 2053 23424 33458 9773 17745 870 19306 315 85 381 1113 376 448 10 154
66 Apr 10707 2061 25262 33639 10432 17917 1034 19490 315 85 449 1119 391 449 12 162
67 11 10707 2066 27548 33805 11705 18005 1112 19643 315 85 493 1127 405 450 12 167
68 18 10709 2071 31617 33934 12980 18121 1203 19789 315 85 538 1138 429 452 15 168
69 "" 10728 2086 35262 34011 13560 18192 1206 19849 316 85 593 1147 462 454 16 169
70 May 10731 2099 37296 34095 13896 18402 1206 20094 316 85 654 1148 485 455 16 170
71 9 10773 2114 38874 34166 14082 18636 1246 20134 319 85 716 1153 499 456 17 170
72 16 10790 2128 40005 34210 14176 18806 1288 20176 320 85 754 1153 511 457 17 171
73 23 10806 2142 40780 34274 14236 19114 1322 20176 320 85 793 1153 512 458 17 171
74 "" 10825 2179 41234 34329 14265 19463 1393 19325 326 86 829 1154 517 463 17 173
75 Jun 10837 2251 41631 34384 14296 19785 1458 19347 326 86 859 1156 518 466 18 173
76 13 10859 2484 41894 34485 14349 20040 1572 19373 326 93 882 1159 523 475 18 173
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_African_Region05.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_African_Region05.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths African_Region by name [05]"
$data <<EOF
week day Mozambique Namibia Niger Nigeria Reunion Rwanda Sao_Tome_Principe Senegal Mozambique Namibia Niger Nigeria Reunion Rwanda Sao_Tome_Principe Senegal
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - - - - - - - - - - - - - -
8 23 - - - - - - - - - - - - - - - -
9 Mar - - - 1 - - - - - - - 0.00001 - - - -
10 8 - - - 1 - - - 4 - - - 0.00001 - - - 0.00001
11 15 - 2 - 2 6 - - 21 - 0.00001 - 0.00001 0.00001 - - 0.00001
12 22 - 3 1 22 47 17 - 56 - 0.00001 0.00001 0.00001 0.00001 0.00001 - 0.00001
13 "" 8 8 10 65 143 60 - 119 0.00001 0.00001 1 1 0.00001 0.00001 - 0.00001
14 Apr 10 14 144 210 334 102 - 219 0.00001 0.00001 8 4 0.00001 0.00001 - 2
15 12 20 16 491 318 388 120 4 278 0.00001 0.00001 11 10 0.00001 0.00001 0.00001 2
16 19 31 16 639 373 407 144 4 350 0.00001 0.00001 19 11 0.00001 0.00001 0.00001 3
17 "" 70 16 684 1182 412 183 8 614 0.00001 0.00001 27 35 0.00001 0.00001 0.00001 7
18 May 79 16 736 2388 420 255 23 1115 0.00001 0.00001 35 85 0.00001 0.00001 3 9
19 10 87 16 815 4151 430 280 165 1634 0.00001 0.00001 45 128 0.00001 0.00001 4 17
20 17 129 16 889 5621 443 289 169 2429 0.00001 0.00001 51 176 0.00001 0.00001 7 25
21 24 168 20 943 7526 452 325 174 2976 0.00001 0.00001 61 221 1 0.00001 8 34
22 "" 244 23 956 9855 471 359 295 3535 2 0.00001 64 273 1 1 10 42
23 Jun 409 29 970 12233 480 431 295 4249 2 0.00001 65 342 1 2 10 47
24 14 553 32 978 15181 489 541 388 4996 2 0.00001 65 399 1 2 10 60
25 21 688 46 1035 19808 505 702 388 5783 4 0.00001 67 506 1 2 10 82
26 "" 839 136 1059 24077 520 878 393 6459 5 0.00001 67 558 2 2 11 102
27 Jul 969 375 1082 28167 536 1092 399 7272 7 0.00001 68 634 2 3 11 129
28 12 1135 713 1099 31987 577 1299 407 8014 9 1 68 724 3 3 12 145
29 19 1435 1203 1104 36107 624 1539 743 8669 10 2 69 778 3 5 14 163
30 "" 1616 1687 1124 39977 657 1752 862 9552 11 7 69 856 3 5 14 187
31 Aug 1907 2224 1136 43537 664 2042 874 10284 12 11 69 883 4 5 15 209
32 9 2241 2852 1157 46140 681 2134 878 11003 16 16 69 942 5 6 15 229
33 16 2791 3907 1165 48770 788 2352 885 12032 19 35 69 974 5 8 15 251
34 23 3304 5538 1172 51905 1117 2889 892 12850 20 46 69 997 6 11 15 266
35 "" 3760 7116 1175 53727 1557 3843 895 13456 22 69 69 1011 3 16 15 282
36 Sep 4341 8514 1177 54905 2115 4349 898 13881 26 87 69 1054 6 18 15 289
37 13 5040 9604 1178 56177 2723 4565 906 14193 35 98 69 1078 10 22 15 293
38 20 6537 10292 1182 57145 3194 4671 908 14688 41 111 69 1095 10 25 15 302
39 "" 7757 10918 1194 58198 3685 4811 911 14869 54 120 69 1106 11 29 15 306
40 Oct 9049 11572 1200 59287 4178 4852 913 15051 64 123 69 1113 16 29 15 312
41 11 9844 11891 1200 60103 4491 4892 922 15213 70 128 69 1115 16 30 15 313
42 18 11080 12326 1211 61558 4921 4992 933 15432 75 131 69 1125 17 34 15 319
43 "" 12161 12675 1215 62111 5361 5073 941 15565 88 133 69 1132 22 34 15 322
44 Nov 12869 12935 1220 62853 5659 5137 945 15616 92 133 69 1144 22 35 16 324
45 8 13577 13170 1242 63790 6264 5213 962 15668 99 134 69 1156 27 36 16 326
46 15 14340 13449 1301 64996 6881 5394 964 15779 110 138 70 1163 29 42 16 327
47 22 14981 13811 1351 66228 7501 5620 979 15865 123 143 70 1166 35 46 17 330
48 "" 15586 14285 1472 67330 7940 5872 985 16027 129 150 70 1171 40 47 17 332
49 Dec 16133 14950 1789 68937 8200 6084 999 16397 133 153 77 1180 41 51 17 337
50 13 16812 16097 1856 72757 8345 6528 1009 17061 140 160 77 1194 41 56 17 349
51 20 17477 18437 2361 77933 8704 7232 1012 17670 147 171 82 1218 42 59 17 361
52 "" 18162 21398 2803 83576 8909 7817 1014 18523 159 187 89 1247 42 72 17 387
53 Jan 18968 24654 3208 89163 9037 8567 1024 19511 168 213 102 1302 42 98 17 416
54 10 21361 27723 3322 97478 9247 9461 1054 21000 187 251 104 1342 42 118 17 459
55 17 25862 30198 4132 108943 9443 10850 1130 22738 234 280 138 1420 45 140 17 509
56 24 31628 32213 4321 120602 9701 12647 1182 24460 297 317 151 1495 45 172 17 569
57 "" 37705 33828 4516 130557 9996 15118 1256 26213 363 350 159 1578 46 193 17 621
58 Feb 44112 34845 4598 139242 10487 16337 1339 28489 451 371 165 1647 47 217 18 675
59 14 48588 35797 4690 145664 10907 17267 1482 30641 514 386 169 1747 47 236 19 741
60 21 54968 37295 4733 151553 11562 17988 1578 32630 587 402 170 1831 48 247 21 795
61 "" 58772 38644 4740 155417 12416 18790 1786 34255 630 418 172 1905 52 261 28 866
62 Mar 62131 39877 4740 158237 13125 19426 1938 35632 686 437 172 1964 59 267 31 908
63 14 64296 41025 4857 160537 13801 20226 2078 36726 722 458 181 2013 71 276 32 955
64 21 65799 42203 4918 161651 14631 20761 2142 37693 740 492 185 2030 87 287 34 1007
65 "" 67011 43499 4987 162489 15561 21309 2210 38456 762 508 185 2041 102 300 34 1034
66 Apr 68005 44581 5033 163113 16586 22243 2240 38953 782 531 188 2058 115 311 35 1063
67 11 68578 45323 5072 163736 17508 23343 2263 39364 789 564 188 2060 123 314 35 1077
68 18 69134 46515 5114 164147 18425 23866 2275 39731 798 602 190 2061 135 322 35 1090
69 "" 69643 47671 5158 164684 19343 24535 2298 40082 807 624 191 2061 141 328 35 1099
70 May 69965 48654 5228 165153 20381 25225 2310 40388 814 643 191 2063 148 335 35 1109
71 9 70166 49893 5319 165382 21451 25586 2318 40665 821 683 192 2065 150 338 35 1117
72 16 70410 51113 5330 165702 22644 25934 2327 40828 826 710 192 2066 169 342 35 1124
73 23 70568 52712 5364 165979 23566 26424 2334 41023 831 763 192 2067 176 348 36 1129
74 "" 70724 54659 5410 166285 24901 26780 2345 41331 836 818 192 2071 189 349 37 1138
75 Jun 71082 58057 5438 166756 26075 27162 2353 41631 837 905 192 2117 203 359 37 1145
76 13 71461 64205 5446 167059 27235 27660 2357 41952 840 993 192 2117 212 366 37 1151
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_African_Region06.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_African_Region06.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths African_Region by name [06]"
$data <<EOF
week day Seychelles Sierra_Leone South_Africa South_Sudan Tanzania Togo Uganda Zambia Seychelles Sierra_Leone South_Africa South_Sudan Tanzania Togo Uganda Zambia
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - - - - - - - - - - - - - -
8 23 - - - - - - - - - - - - - - - -
9 Mar - - - - - - - - - - - - - - - -
10 8 - - 2 - - 1 - - - - 0.00001 - - 0.00001 - -
11 15 - - 38 - - 1 - - - - 0.00001 - - 0.00001 - -
12 22 7 - 240 - 6 15 1 2 0.00001 - 0.00001 - 0.00001 0.00001 0.00001 0.00001
13 "" 7 - 1187 - 14 28 14 16 0.00001 - 1 - 0.00001 0.00001 0.00001 0.00001
14 Apr 10 4 1585 - 20 40 48 39 0.00001 0.00001 9 - 1 3 0.00001 1
15 12 11 8 2028 4 32 73 53 40 0.00001 0.00001 25 0.00001 3 3 0.00001 2
16 19 11 30 3034 4 148 83 55 57 0.00001 0.00001 52 0.00001 5 5 0.00001 2
17 "" 11 86 4361 5 300 96 75 84 0.00001 3 86 0.00001 10 6 0.00001 3
18 May 11 155 6336 45 480 123 85 119 0.00001 8 123 0.00001 18 9 0.00001 3
19 10 11 291 9420 120 509 153 116 252 0.00001 18 186 0.00001 21 10 0.00001 4
20 17 11 462 14355 231 509 298 227 679 0.00001 29 261 1 21 11 0.00001 7
21 24 11 621 21343 563 509 373 312 920 0.00001 39 407 6 21 12 0.00001 7
22 "" 11 852 30967 994 509 428 446 1057 0.00001 46 643 10 21 13 0.00001 7
23 Jun 11 946 45973 1317 509 487 722 1154 0.00001 48 952 14 21 13 0.00001 7
24 14 11 1132 65736 1684 509 525 823 1357 0.00001 51 1423 25 21 13 0.00001 10
25 21 11 1309 92681 1864 509 561 823 1430 0.00001 53 1877 34 21 13 0.00001 11
26 "" 70 1410 131800 1958 509 615 833 1531 0.00001 59 2413 36 21 14 0.00001 21
27 Jul 81 1533 187977 2058 509 676 927 1632 0.00001 62 3026 38 21 15 0.00001 30
28 12 100 1618 264184 2139 509 710 1013 1895 0.00001 63 3971 41 21 15 0.00001 42
29 19 108 1701 350879 2200 509 774 1062 2980 0.00001 65 4948 43 21 15 0.00001 120
30 "" 107 1768 434200 2262 509 853 1103 4328 0.00001 66 6655 45 21 17 1 139
31 Aug 114 1835 503290 2429 509 927 1176 6228 0.00001 67 8153 46 21 18 4 165
32 9 126 1895 553188 2470 509 1012 1269 7903 0.00001 68 10210 47 21 22 6 203
33 16 127 1954 583653 2489 509 1092 1385 9186 0.00001 69 11677 47 21 26 12 260
34 23 127 1980 607045 2499 509 1212 2166 10627 0.00001 69 12987 47 21 27 20 277
35 "" 131 2019 622551 2519 509 1390 2756 11902 0.00001 70 13981 47 21 27 28 284
36 Sep 135 2043 636884 2544 509 1443 3539 12709 0.00001 71 14779 48 21 31 39 292
37 13 135 2096 648214 2578 509 1555 4703 13466 0.00001 72 15427 49 21 37 52 312
38 20 139 2159 659656 2642 509 1640 6017 14024 0.00001 72 15940 49 21 41 63 329
39 "" 141 2208 669498 2686 509 1736 7364 14612 0.00001 72 16376 49 21 46 71 332
40 Oct 142 2259 679716 2726 509 1840 8491 14830 0.00001 72 16938 50 21 48 79 333
41 11 147 2300 690896 2777 509 1935 9538 15415 0.00001 72 17673 55 21 49 86 336
42 18 148 2331 705254 2847 509 2071 10691 15897 0.00001 73 18492 55 21 51 97 346
43 "" 152 2346 716759 2890 509 2187 11557 16200 0.00001 74 19008 56 21 52 101 348
44 Nov 154 2366 725452 2926 509 2296 12495 16432 0.00001 74 19276 59 21 55 111 349
45 8 154 2373 735906 2943 509 2442 14066 16908 0.00001 74 19789 59 21 57 131 349
46 15 158 2389 749182 3003 509 2605 15789 17097 0.00001 74 20206 59 21 60 144 350
47 22 161 2405 765409 3047 509 2771 17667 17394 0.00001 74 20845 60 21 63 168 356
48 "" 172 2410 785139 3104 509 2926 19944 17589 0.00001 74 21439 61 21 64 201 357
49 Dec 182 2420 810449 3166 509 3051 22188 17898 0.00001 74 22067 61 21 65 206 364
50 13 185 2435 852965 3181 509 3202 27071 18091 0.00001 75 23106 62 21 66 220 364
51 20 202 2486 912477 3228 509 3396 30702 18620 0.00001 75 24539 62 21 66 230 373
52 "" 211 2549 994911 3308 509 3555 33563 19671 0.00001 76 26521 62 21 68 245 382
53 Jan 284 2560 1088889 3558 509 3683 35712 21230 0.00001 76 29175 63 21 68 274 392
54 10 502 2803 1214176 3640 509 3932 37554 26567 1 77 32824 63 21 72 301 464
55 17 689 2970 1325659 3693 509 4272 38085 36074 1 77 36851 63 21 73 304 532
56 24 1033 3120 1404839 3773 509 4636 39044 44592 3 77 40574 64 21 74 317 627
57 "" 1186 3528 1449236 3961 509 5041 39533 53352 3 79 43951 64 21 77 324 745
58 Feb 1504 3759 1473700 4355 509 5436 39821 61427 6 79 46180 65 21 79 327 839
59 14 1892 3821 1490063 5310 509 5823 40019 68454 8 79 47821 74 21 80 328 940
60 21 2328 3849 1502367 6417 509 6268 40199 73894 10 79 48940 85 21 81 333 1016
61 "" 2592 3887 1512225 7349 509 6851 40335 77171 11 79 49941 87 21 83 334 1059
62 Mar 2950 3918 1520206 8677 509 7521 40452 82011 14 79 50647 102 21 90 334 1116
63 14 3202 3937 1528414 9429 509 8049 40544 84474 15 79 51261 104 21 93 334 1153
64 21 3616 3948 1536801 9849 509 8839 40651 86273 16 79 52082 106 21 102 334 1178
65 "" 4054 3962 1544466 10048 509 9676 40767 87727 18 79 52648 108 21 107 335 1198
66 Apr 4294 3987 1551501 10255 509 11064 40962 88800 22 79 52954 112 21 110 335 1215
67 11 4490 3993 1557527 10340 509 11947 41113 89918 24 79 53256 114 21 116 337 1226
68 18 4834 4020 1565680 10432 509 12496 41340 90844 25 79 53711 114 21 119 338 1234
69 "" 5170 4044 1574370 10515 509 12787 41575 91317 26 79 54125 114 21 121 341 1245
70 May 5602 4057 1582842 10583 509 12992 41907 91670 27 79 54406 115 21 123 343 1251
71 9 6811 4068 1594817 10637 509 13141 42308 92057 28 79 54724 116 21 124 346 1257
72 16 9184 4103 1611143 10652 509 13244 42674 92409 30 79 55183 115 21 125 347 1260
73 23 10433 4117 1632572 10670 509 13352 43507 93106 38 79 55772 115 21 125 350 1267
74 "" 11415 4140 1659070 10688 509 13432 45931 94751 40 79 56363 115 21 125 362 1276
75 Jun 12238 4168 1691491 10688 509 13533 51676 99540 42 79 56929 115 21 125 374 1303
76 13 13414 4312 1739425 10688 509 13597 60250 110332 43 82 57653 115 21 126 423 1365
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_African_Region07.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_African_Region07.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths African_Region by name [07]"
$data <<EOF
week day Zimbabwe Zimbabwe
4 Jan - -
5 Feb - -
6 9 - -
7 16 - -
8 23 - -
9 Mar - -
10 8 - -
11 15 - -
12 22 2 0.00001
13 "" 5 1
14 Apr 9 1
15 12 13 3
16 19 25 3
17 "" 31 4
18 May 34 4
19 10 35 4
20 17 44 4
21 24 56 4
22 "" 174 4
23 Jun 279 4
24 14 356 4
25 21 479 4
26 "" 567 7
27 Jul 698 8
28 12 982 18
29 19 1478 25
30 "" 2434 34
31 Aug 3659 69
32 9 4575 102
33 16 5176 130
34 23 5893 153
35 "" 6406 196
36 Sep 6837 206
37 13 7508 224
38 20 7672 225
39 "" 7803 227
40 Oct 7858 228
41 11 7994 229
42 18 8159 232
43 "" 8303 242
44 Nov 8367 243
45 8 8471 250
46 15 8786 257
47 22 9120 265
48 "" 9822 275
49 Dec 10617 291
50 13 11081 305
51 20 12151 318
52 "" 12963 341
53 Jan 14491 377
54 10 20499 483
55 17 26881 683
56 24 31007 974
57 "" 33271 1193
58 Feb 34487 1316
59 14 35104 1398
60 21 35768 1432
61 "" 35994 1458
62 Mar 36260 1485
63 14 36471 1501
64 21 36662 1510
65 "" 36818 1519
66 Apr 36911 1524
67 11 37273 1538
68 18 37669 1552
69 "" 38064 1556
70 May 38260 1568
71 9 38414 1576
72 16 38554 1582
73 23 38679 1586
74 "" 38933 1594
75 Jun 39168 1605
76 13 39852 1632
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
# plot field 'deaths'
replot $data using 0:4 with lines lc 8 lw 2 title at 0.135, 0.763
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Eastern Mediterranean Region
edit- File:WHO Covid rn confirmed,deaths Eastern Mediterranean Region01.pdf: Afghanistan * Bahrain * Djibouti * Egypt * Iran * Iraq * Jordan * Kuwait
- File:WHO Covid rn confirmed,deaths Eastern Mediterranean Region02.pdf: Lebanon * Libya * Morocco * Oman * Pakistan * Palestine * Qatar * Saudi_Arabia
- File:WHO Covid rn confirmed,deaths Eastern Mediterranean Region03.pdf: Somalia * Sudan * Syria * Tunisia * UAE * Yemen
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Eastern_Mediterranean_Region01.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Eastern_Mediterranean_Region01.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Eastern_Mediterranean_Region by name [01]"
$data <<EOF
week day Afghanistan Bahrain Djibouti Egypt Iran Iraq Jordan Kuwait Afghanistan Bahrain Djibouti Egypt Iran Iraq Jordan Kuwait
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - 1 - - - - - - - 0.00001 - - - -
8 23 - - - 1 28 - - - - - - 0.00001 5 - - -
9 Mar 1 40 - 1 593 13 - 45 0.00001 0.00001 - 0.00001 43 0.00001 - 0.00001
10 8 4 56 - 48 5823 54 1 62 0.00001 0.00001 - 0.00001 145 4 0.00001 0.00001
11 15 10 211 - 93 12729 93 1 112 0.00001 0.00001 - 2 608 9 0.00001 0.00001
12 22 24 306 1 285 20610 214 84 176 0.00001 1 0.00001 8 1556 17 0.00001 0.00001
13 "" 114 476 15 576 35408 506 246 235 4 4 0.00001 36 2517 42 1 0.00001
14 Apr 299 688 51 1070 55743 878 323 556 7 4 0.00001 71 3452 56 5 1
15 12 555 1040 187 1939 70029 1318 381 1154 18 6 2 146 4357 72 7 1
16 19 933 1773 732 3032 80868 1513 413 1751 30 7 2 224 5031 82 7 6
17 "" 1463 2589 1008 4319 89328 1763 444 2892 49 20 2 307 5650 86 7 19
18 May 2469 3284 1112 6193 96448 2219 460 4619 72 8 2 415 6156 95 9 33
19 10 4402 4774 1189 8964 106220 2679 522 7623 119 8 3 514 6589 107 9 49
20 17 6635 6747 1331 11719 118392 3260 607 13802 169 12 4 612 6937 121 9 107
21 24 10582 8802 2270 16513 133521 4272 704 20464 218 13 10 735 7359 152 9 148
22 "" 15094 10793 3194 23449 148950 6179 734 26192 250 17 22 913 7734 195 9 205
23 Jun 20342 14383 4169 32612 169425 11098 795 31131 357 24 26 1198 8209 318 9 254
24 14 24766 18227 4449 42980 184955 18950 953 35466 471 39 41 1484 8730 549 9 289
25 21 28833 21331 4565 53758 202584 29222 1015 39145 581 60 45 2106 9507 1013 9 319
26 "" 30967 25267 4643 63923 220180 43262 1111 44391 729 78 52 2708 10364 1660 9 344
27 Jul 32951 28857 4736 74035 237878 58354 1150 49303 864 96 55 3280 11408 2368 10 365
28 12 34451 32470 4968 81158 255117 75194 1176 54058 1010 104 56 3769 12635 3055 10 386
29 19 35475 36004 5003 87172 271606 90220 1214 58904 1181 124 56 4251 13979 3691 11 407
30 "" 36157 38747 5039 91583 288839 107573 1310 63309 1259 137 58 4558 15484 4284 11 429
31 Aug 36710 41190 5081 94316 306752 126704 1208 67448 1283 148 58 4834 16982 4805 11 453
32 9 37054 43629 5338 95314 324692 147389 1246 71199 1312 162 59 4992 18264 5310 11 474
33 16 37596 46430 5367 96336 341070 172583 1339 75697 1375 170 59 5141 19492 5785 11 498
34 23 37999 49038 5382 97237 356792 201050 1576 79957 1387 183 60 5243 20502 6353 11 513
35 "" 38143 51391 5385 98497 371816 227446 1893 84224 1402 189 60 5376 21359 6891 15 528
36 Sep 38398 54771 5387 99712 384666 256719 2353 88963 1412 196 60 5511 22154 7422 16 540
37 13 38641 59586 5394 100856 399940 286778 3062 94211 1420 211 61 5627 23029 7941 22 558
38 20 39044 64499 5401 101900 419043 315597 4540 99049 1441 221 61 5750 24118 8491 30 581
39 "" 39227 68775 5409 102736 443086 345969 8061 103199 1453 239 61 5869 25394 8935 43 597
40 Oct 39341 72310 5418 103575 468119 375931 14749 106458 1462 258 61 5970 26746 9347 88 620
41 11 39799 75287 5423 104387 496253 400124 23998 110568 1477 273 61 6040 28293 9790 181 655
42 18 40287 78224 5469 105547 534631 430678 38937 116832 1497 302 61 6130 30712 10317 380 710
43 "" 40937 80533 5541 106707 574856 455398 55055 122317 1518 316 65 6211 32953 10671 624 749
44 Nov 41425 81645 5561 107555 612772 472630 72607 125926 1536 321 61 6266 34864 10910 829 779
45 8 42033 83264 5605 108962 673250 496019 104802 131205 1556 329 61 6355 37832 11283 1181 808
46 15 43035 84523 5645 110547 749525 516915 141305 136341 1605 333 61 6442 41034 11623 1704 835
47 22 44503 85591 5661 112676 841308 533555 178161 139734 1675 338 61 6535 44327 11925 2172 863
48 "" 45966 86645 5676 115183 935799 548821 210709 142195 1752 341 61 6621 47486 12200 2626 875
49 Dec 47641 87731 5692 118014 1028986 562520 237513 144164 1865 341 61 6750 50016 12411 3010 889
50 13 48952 88964 5725 121089 1100818 573622 257275 146044 1960 348 61 6898 51949 12565 3335 911
51 20 50536 90062 5781 124891 1152072 583118 272797 147775 2054 349 61 7069 53448 12680 3545 918
52 "" 51848 91518 5805 131315 1194963 590779 286356 149449 2158 351 61 7352 54574 12767 3729 929
53 Jan 52709 93184 5841 140878 1237474 597033 296668 151074 2221 352 61 7741 55438 12829 3877 937
54 10 53489 95317 5866 148799 1280438 602331 305959 153900 2277 355 61 8142 56100 12881 4009 942
55 17 53984 97268 5903 155507 1324395 607587 313557 157399 2339 358 61 8527 56717 12935 4137 947
56 24 54595 99456 5918 161143 1367032 612870 319519 160901 2378 367 61 8902 57294 12988 4217 952
57 "" 55023 102626 5931 165418 1411731 618922 325674 164622 2400 372 62 9263 57889 13041 4304 959
58 Feb 55335 106713 5941 169106 1459370 627416 333855 170036 2410 379 63 9604 58412 13111 4369 964
59 14 55492 112102 5968 173202 1510873 641628 344803 176903 2427 398 63 9935 58883 13164 4444 998
60 21 55604 117234 6022 177543 1566081 664750 359811 183322 2432 420 63 10298 59409 13245 4543 1039
61 "" 55714 121778 6065 181829 1623159 692241 386496 189890 2443 444 63 10639 59980 13383 4675 1078
62 Mar 55847 126126 6134 185922 1681682 723189 421415 199428 2449 469 63 10954 60594 13548 4900 1120
63 14 55985 130404 6252 190280 1739360 754318 469000 208460 2457 481 63 11256 61142 13719 5285 1165
64 21 56103 135326 6518 194771 1793805 789390 526666 217933 2463 498 63 11557 61724 13969 5788 1215
65 "" 56294 140818 7249 199364 1846923 827157 582133 227178 2470 513 66 11845 62308 14177 6472 1279
66 Apr 56676 147770 8509 204256 1920394 868200 626875 235989 2497 531 72 12123 62999 14430 7130 1339
67 11 57160 155402 9722 209677 2049078 918155 662395 245704 2521 554 93 12405 64232 14678 7708 1403
68 18 57793 163113 10412 215484 2215445 970987 683466 255860 2539 588 114 12694 66327 14948 8178 1440
69 "" 58843 170335 10746 221570 2377039 1025288 700423 265404 2582 620 132 12998 69120 15217 8563 1511
70 May 60122 177997 11121 228584 2516157 1070366 712077 275270 2637 648 145 13402 72090 15498 8871 1569
71 9 61842 187905 11335 236272 2640670 1108558 719233 284076 2686 678 149 13845 74524 15741 9076 1635
72 16 63484 199093 11414 244520 2739875 1136917 723345 290801 2742 737 151 14269 76633 15930 9243 1687
73 23 65728 214870 11491 252690 2823887 1164149 729706 298223 2802 809 152 14670 78381 16158 9357 1724
74 "" 70761 235699 11527 260659 2893218 1193608 735139 306717 2919 939 154 15001 79741 16334 9443 1764
75 Jun 79224 249582 11556 267171 2960751 1221678 739319 315900 3145 1091 154 15309 80941 16518 9516 1794
76 13 89861 257852 11572 272491 3020522 1250691 742831 326451 3527 1206 154 15582 81911 16690 9582 1817
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Eastern_Mediterranean_Region02.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Eastern_Mediterranean_Region02.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Eastern_Mediterranean_Region by name [02]"
$data <<EOF
week day Lebanon Libya Morocco Oman Pakistan Palestine Qatar Saudi_Arabia Lebanon Libya Morocco Oman Pakistan Palestine Qatar Saudi_Arabia
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - - - - - - - - - - - - - -
8 23 1 - - - - - - - 0.00001 - - - - - - -
9 Mar 2 - - 6 4 - 1 - 0.00001 - - 0.00001 0.00001 - 0.00001 -
10 8 28 - 2 16 5 16 12 7 0.00001 - 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001
11 15 93 - 18 20 28 38 337 103 3 - 1 0.00001 0.00001 0.00001 0.00001 0.00001
12 22 206 - 86 52 495 52 470 392 4 - 3 0.00001 3 0.00001 0.00001 0.00001
13 "" 412 3 437 167 1526 104 590 1203 8 0.00001 26 0.00001 13 1 1 4
14 Apr 527 17 960 298 2880 217 1325 2370 18 1 66 2 45 1 3 29
15 12 619 25 1545 599 5038 268 2728 4033 20 1 111 3 86 2 6 52
16 19 673 49 2685 1266 7993 320 5008 8274 21 1 137 6 159 2 8 92
17 "" 704 61 3897 1998 12723 342 9358 16299 24 2 159 10 269 2 10 136
18 May 733 63 4729 2568 19103 353 14872 25459 25 3 173 12 440 2 12 176
19 10 809 64 5910 3400 29465 547 21331 37136 26 3 186 17 639 4 13 239
20 17 902 65 6741 5186 40151 555 30972 52016 26 3 192 22 873 4 15 302
21 24 1097 75 7406 7257 54601 602 42213 70161 26 3 198 36 1133 5 21 379
22 "" 1191 130 7780 10423 69496 626 55262 83384 26 5 204 42 1483 5 36 480
23 Jun 1320 256 8151 16016 98943 643 67195 98869 29 5 208 72 2002 5 51 676
24 14 1442 418 8692 22077 139230 673 78416 123308 32 8 212 99 2632 5 70 932
25 21 1536 544 9839 28566 176617 979 86488 154233 32 10 213 128 3501 5 94 1230
26 "" 1719 727 11877 36953 202955 2053 93663 178504 33 18 220 159 4118 7 110 1511
27 Jul 1855 918 13822 45106 228474 4250 99183 205929 35 27 232 203 4712 19 123 1858
28 12 2168 1389 15542 54697 248872 6688 103128 229480 36 38 245 248 5197 32 146 2181
29 19 2775 1791 17015 65504 263496 9587 106308 248416 40 48 269 308 5568 62 154 2447
30 "" 3582 2547 19645 74858 273113 12795 109036 264973 47 58 305 371 5822 78 164 2703
31 Aug 4730 3691 25051 79159 278305 15555 110911 277478 61 80 367 421 5951 86 174 2887
32 9 6223 5078 32007 81357 284103 18374 112650 287262 74 108 480 509 6074 103 182 3130
33 16 8442 7327 41017 82924 288717 21554 114809 297315 97 139 632 562 6168 119 192 3369
34 23 12191 10437 50812 83769 292765 24707 116765 306370 121 188 858 609 6235 138 193 3619
35 "" 16275 12958 60056 85005 295636 28527 118407 313911 155 231 1078 650 6288 164 196 3840
36 Sep 20011 17094 70160 86380 298509 33250 119864 319932 187 272 1329 705 6342 199 202 4049
37 13 23669 22348 84435 88337 301481 38516 121523 325050 239 354 1553 762 6379 238 205 4240
38 20 28297 27234 99816 91753 305671 44763 123146 329271 286 426 1795 818 6416 291 209 4458
39 "" 35228 31828 115241 95907 310275 48572 124850 332790 340 499 2041 885 6457 334 214 4655
40 Oct 43480 36087 131228 98585 314616 52013 126339 335997 398 578 2293 935 6513 390 216 4850
41 11 52558 41686 149841 104129 318932 55134 127778 338944 455 623 2572 1009 6570 442 219 5018
42 18 62944 49949 175749 110594 323459 59082 129671 342583 526 732 2976 1114 6659 484 224 5201
43 "" 72186 57223 199745 113354 328602 62588 131432 345232 579 801 3373 1190 6739 525 230 5313
44 Nov 81228 61095 219084 114434 332993 65262 132556 347282 637 857 3695 1208 6806 555 232 5402
45 8 93097 67039 252185 117167 341753 69612 134013 350229 713 920 4197 1286 6943 584 232 5525
46 15 104267 72628 288211 119442 354461 74350 135570 352950 806 995 4697 1326 7109 633 234 5641
47 22 115242 76808 320962 121360 371508 82780 137062 355034 894 1068 5256 1365 7603 698 235 5761
48 "" 125637 81273 349688 122579 392356 94861 138477 356911 991 1153 5739 1391 7942 791 237 5870
49 Dec 135876 85529 376738 124329 413191 109702 139783 358526 1090 1219 6184 1435 8303 905 239 5954
50 13 145245 89880 397597 125669 435056 123002 140827 359749 1190 1278 6589 1463 8724 1062 240 6036
51 20 156570 93772 415226 127019 454673 137106 141858 360848 1270 1346 6909 1483 9250 1232 243 6112
52 "" 169472 97653 430562 128290 469482 148540 142903 362066 1379 1415 7204 1491 9816 1406 244 6176
53 Jan 186408 100744 442141 128867 484362 157879 144240 362979 1476 1487 7452 1499 10258 1578 245 6239
54 10 215553 104002 451637 130070 499517 165250 145672 363692 1590 1568 7709 1505 10598 1735 246 6286
55 17 249158 108017 458865 131264 516770 170637 147089 364753 1866 1651 7911 1509 10908 1861 246 6318
56 24 276587 112540 465769 132486 530818 174413 148772 366185 2280 1737 8128 1517 11247 1951 248 6350
57 "" 298913 117650 470691 133728 543214 178516 150984 367813 3031 1842 8259 1527 11623 2010 248 6372
58 Feb 317836 122894 474966 135041 553128 182541 153690 369961 3562 1936 8381 1532 11914 2058 250 6397
59 14 336992 126881 478135 136622 561625 188464 156804 372410 3961 2014 8460 1539 12276 2125 255 6428
60 21 353371 129325 480948 138494 569846 194875 159967 374691 4297 2088 8548 1549 12563 2172 256 6457
61 "" 372775 132458 483410 140588 578797 206438 163197 377061 4652 2174 8615 1562 12837 2236 257 6488
62 Mar 393211 137482 485974 142896 588728 220639 166475 379474 5013 2236 8676 1583 13166 2352 262 6524
63 14 415362 143643 488632 145257 602536 234449 169767 382059 5334 2348 8718 1600 13476 2494 265 6563
64 21 436575 150341 491463 149135 623135 249421 173206 384653 5715 2487 8763 1620 13799 2656 272 6602
65 "" 458338 156116 494358 153838 649824 263220 177135 387794 6058 2602 8798 1650 14158 2810 284 6643
66 Apr 477113 161088 497832 160018 682888 277130 182548 392009 6379 2684 8842 1681 14697 2941 301 6690
67 11 494633 166888 501688 168005 715968 294639 189064 397636 6630 2807 8891 1747 15329 3102 331 6747
68 18 508503 171131 505447 176668 750158 308579 195757 404054 6886 2882 8944 1821 16094 3251 376 6810
69 "" 519615 174752 509037 185278 790016 319100 201496 411263 7116 2947 8988 1942 16999 3419 418 6887
70 May 527508 177508 511562 193253 825519 325967 206302 418411 7302 3029 9026 2010 17957 3525 465 6968
71 9 532269 179697 513628 199344 854240 330278 210603 425442 7460 3063 9064 2083 18797 3619 502 7059
72 16 535233 181179 514817 204913 874751 332499 212927 432269 7585 3085 9098 2184 19467 3691 526 7147
73 23 538218 182899 516812 209924 897468 334042 215160 439847 7670 3105 9119 2256 20177 3727 543 7237
74 "" 540132 184815 518868 215366 916239 336679 217041 448284 7718 3116 9138 2321 20680 3760 554 7334
75 Jun 541423 186953 521195 222799 930511 338694 218455 456562 7758 3137 9173 2401 21189 3784 566 7440
76 13 542523 188762 523620 233152 939931 340253 219613 464780 7794 3158 9207 2489 21633 3798 576 7553
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Eastern_Mediterranean_Region03.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Eastern_Mediterranean_Region03.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Eastern_Mediterranean_Region by name [03]"
$data <<EOF
week day Somalia Sudan Syria Tunisia UAE Yemen Somalia Sudan Syria Tunisia UAE Yemen
4 Jan - - - - - - - - - - - -
5 Feb - - - - 5 - - - - - - -
6 9 - - - - 7 - - - - - 0.00001 -
7 16 - - - - 8 - - - - - 0.00001 -
8 23 - - - - 13 - - - - - 0.00001 -
9 Mar - - - - 19 - - - - - 0.00001 -
10 8 - - - 1 45 - - - - 0.00001 0.00001 -
11 15 - 1 - 16 85 - - 0.00001 - 0.00001 0.00001 -
12 22 1 2 - 60 153 - 0.00001 1 - 1 2 -
13 "" 3 5 5 278 468 - 0.00001 1 0.00001 8 2 -
14 Apr 7 10 16 553 1505 - 0.00001 2 2 19 10 -
15 12 21 19 25 685 3736 1 1 2 2 28 20 0.00001
16 19 135 66 38 866 6302 1 7 10 2 37 37 0.00001
17 "" 390 213 42 939 9813 1 18 17 3 38 71 0.00001
18 May 671 592 44 1009 13599 10 31 41 3 42 119 2
19 10 997 1164 47 1032 17417 36 48 64 3 45 185 8
20 17 1357 2289 51 1037 22627 126 55 97 3 45 214 19
21 24 1594 3634 70 1048 28704 216 61 146 4 48 244 40
22 "" 1916 4800 122 1076 33896 314 73 262 4 48 262 78
23 Jun 2289 6081 125 1087 38268 486 82 359 6 49 275 112
24 14 2579 7007 170 1094 41990 709 87 447 6 49 288 161
25 21 2755 8580 198 1156 44533 926 88 521 7 50 301 255
26 "" 2878 9258 256 1168 47360 1107 90 572 9 50 311 297
27 Jul 2961 9767 338 1181 50857 1252 92 608 10 50 321 338
28 12 3051 10250 394 1245 54453 1389 92 650 16 50 331 365
29 19 3111 10762 496 1348 56711 1585 93 680 25 50 338 444
30 "" 3178 11385 627 1443 58562 1678 93 717 36 50 343 475
31 Aug 3212 11738 780 1552 60760 1734 93 752 43 51 351 495
32 9 3227 11894 1125 1678 62300 1801 93 773 50 51 356 513
33 16 3256 12314 1593 2023 64102 1862 93 798 60 54 361 529
34 23 3269 12682 2143 2738 66617 1911 93 815 85 68 372 547
35 "" 3310 13189 2628 3572 69328 1950 97 823 106 75 379 564
36 Sep 3332 13407 3104 4776 73471 1987 98 832 130 93 388 573
37 13 3376 13470 3506 6635 78849 2013 98 834 152 107 399 583
38 20 3401 13535 3765 9736 84242 2030 98 836 170 155 404 586
39 "" 3588 13606 4038 15178 90618 2034 99 836 188 207 411 588
40 Oct 3745 13653 4329 20944 97760 2045 99 836 204 276 426 590
41 11 3847 13670 4673 31259 105133 2055 99 836 221 456 443 596
42 18 3864 13724 5134 40542 116517 2060 99 836 251 626 466 599
43 "" 3941 13747 5461 52399 126234 2064 104 837 272 983 480 600
44 Nov 3941 13804 5728 59813 132629 2067 104 837 288 1317 495 600
45 8 4229 14155 6147 69543 141032 2070 107 1116 313 1848 514 602
46 15 4301 14626 6613 79339 149135 2072 107 1116 341 2279 528 603
47 22 4382 15839 7154 87471 157785 2073 108 1193 372 2752 548 605
48 "" 4451 17404 7715 94980 166502 2078 113 1235 409 3153 569 605
49 Dec 4525 19747 8320 102991 175276 2081 121 1301 442 3526 589 607
50 13 4579 21386 9041 110393 183755 2087 121 1347 506 3836 609 607
51 20 4662 22823 10050 119151 192404 2091 124 1434 601 4126 634 607
52 "" 4690 23316 10932 130230 200892 2096 127 1468 669 4426 655 607
53 Jan 4714 23316 11616 141979 211641 2105 130 1468 723 4765 674 611
54 10 4726 23316 12274 157514 227702 2108 130 1468 768 5153 702 611
55 17 4744 26279 12942 177231 249808 2116 130 1603 824 5616 740 613
56 24 4754 28522 13557 195314 274376 2122 130 1722 879 6154 783 616
57 "" 4784 29449 13998 207468 300661 2124 130 1807 916 6680 838 616
58 Feb 4854 29765 14408 216176 323402 2131 134 1835 947 7162 914 616
59 14 5092 29933 14820 222504 345605 2140 148 1849 975 7508 1001 617
60 21 5889 30128 15143 227643 368175 2161 194 1864 996 7755 1108 619
61 "" 6991 30347 15533 232615 388594 2273 231 1880 1023 7974 1213 632
62 Mar 8041 30540 15925 237028 408236 2448 294 1895 1058 8167 1310 651
63 14 8946 30923 16401 241257 424405 2775 349 1953 1094 8359 1388 684
64 21 9968 31147 17240 245405 438638 3282 419 1986 1153 8526 1433 738
65 "" 10838 31407 18356 249703 453069 3973 488 2028 1227 8705 1477 833
66 Apr 11623 31833 19284 258335 468023 4701 546 2063 1299 8931 1504 933
67 11 12271 31833 20118 270297 481937 5280 605 2063 1368 9235 1529 1032
68 18 12837 33022 21004 283976 495224 5774 656 2208 1437 9717 1550 1120
69 "" 13459 33673 21999 298572 508925 6109 689 2300 1526 10231 1569 1176
70 May 13915 33944 22818 310734 521948 6329 713 2349 1598 10808 1591 1230
71 9 14415 34826 23319 319512 534445 6466 747 2445 1648 11350 1610 1271
72 16 14486 34889 23693 325832 544931 6542 753 2446 1693 11779 1629 1286
73 23 14623 34889 24052 334099 554516 6653 767 2446 1729 12182 1648 1305
74 "" 14653 35479 24440 343374 567263 6735 768 2628 1763 12574 1673 1320
75 Jun 14729 36004 24639 353782 581197 6780 773 2697 1790 12948 1696 1325
76 13 14779 36304 24789 367047 596017 6857 774 2732 1808 13436 1724 1347
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
# plot field 'deaths'
replot $data using 0:9 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:10 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:11 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:12 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:13 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:14 with lines lc 2 lw 2 title at 0.135, 0.673
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
European Region
edit- File:WHO Covid rn confirmed,deaths European Region01.pdf: Albania * Andorra * Armenia * Austria * Azerbaijan * Belarus * Belgium * Bosnia_Herzegovina
- File:WHO Covid rn confirmed,deaths European Region02.pdf: Bulgaria * Croatia * Cyprus * Czechia * Denmark * Estonia * Faroe_Is * Finland
- File:WHO Covid rn confirmed,deaths European Region03.pdf: France * Georgia * Germany * Gibraltar * Greece * Greenland * Guernsey * Holy_See
- File:WHO Covid rn confirmed,deaths European Region04.pdf: Hungary * Iceland * Ireland * Isle_of_Man * Israel * Italy * Jersey * Kazakhstan
- File:WHO Covid rn confirmed,deaths European Region05.pdf: Kosovo * Kyrgyzstan * Latvia * Liechtenstein * Lithuania * Luxembourg * Malta * Moldova
- File:WHO Covid rn confirmed,deaths European Region06.pdf: Monaco * Montenegro * N_Macedonia * Netherlands * Norway * Poland * Portugal * Romania
- File:WHO Covid rn confirmed,deaths European Region07.pdf: Russia * San_Marino * Serbia * Slovakia * Slovenia * Spain * Sweden * Switzerland
- File:WHO Covid rn confirmed,deaths European Region08.pdf: Tajikistan * Turkey * UK * Ukraine * Uzbekistan
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_European_Region01.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_European_Region01.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths European_Region by name [01]"
$data <<EOF
week day Albania Andorra Armenia Austria Azerbaijan Belarus Belgium Bosnia_Herzegovina Albania Andorra Armenia Austria Azerbaijan Belarus Belgium Bosnia_Herzegovina
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - 1 - - - - - - - 0.00001 -
7 16 - - - - - - 1 - - - - - - - 0.00001 -
8 23 - - - - - - 1 - - - - - - - 0.00001 -
9 Mar - - - 10 3 1 1 - - - - 0.00001 0.00001 0.00001 0.00001 -
10 8 - 1 1 104 9 6 169 2 - 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001
11 15 38 2 8 800 19 21 689 18 1 0.00001 0.00001 1 0.00001 0.00001 0.00001 0.00001
12 22 76 88 160 3024 53 76 2815 92 2 0.00001 0.00001 8 1 0.00001 67 1
13 "" 212 321 424 8291 164 94 9134 269 10 4 3 68 4 0.00001 353 6
14 Apr 333 466 746 11766 512 440 18431 632 18 17 7 186 5 4 1283 21
15 12 446 622 1013 13807 1058 2226 28018 948 23 28 13 337 11 23 3346 37
16 19 548 704 1248 14662 1373 4779 37183 1268 26 35 20 443 18 45 5453 46
17 "" 712 738 1746 15134 1617 9590 45325 1485 27 40 28 536 21 67 6917 56
18 May 795 747 2386 15558 1894 15828 49517 1757 31 44 35 596 25 97 7765 68
19 10 868 754 3313 15777 2422 22973 52596 2070 31 48 45 615 31 131 8581 97
20 17 946 761 4472 16140 3138 28681 54989 2265 31 51 60 628 36 160 9005 131
21 24 989 763 6661 16407 3982 35244 56810 2371 32 51 81 639 49 194 9237 140
22 "" 1136 764 9282 16638 5246 41658 58186 2493 33 51 131 668 61 229 9453 152
23 Jun 1246 852 13130 16822 7239 46868 59072 2645 34 51 200 672 84 259 9580 158
24 14 1521 853 16667 17014 9570 53241 59918 2892 36 51 269 677 115 303 9650 162
25 21 1891 855 20268 17247 12238 57936 60550 3354 43 52 350 688 148 343 9696 169
26 "" 2402 855 24645 17562 15890 61095 61209 4107 55 52 426 700 193 377 9732 179
27 Jul 2893 855 28606 18196 19801 63270 61909 5249 76 52 484 705 241 418 9771 190
28 12 3371 855 31969 18795 23521 64764 62606 6402 89 52 565 706 298 459 9782 215
29 19 4008 880 34877 19508 27133 65953 63706 8164 111 52 641 711 349 495 9800 245
30 "" 4637 897 37317 20349 29633 66846 65634 10069 134 52 705 712 408 524 9821 283
31 Aug 5396 930 39050 21224 32157 67946 69309 11875 161 52 754 718 454 563 9845 335
32 9 6275 956 40410 21935 33481 68738 73308 14089 193 52 791 721 488 585 9870 396
33 16 7260 997 41663 23211 34107 69424 77776 15802 225 53 818 728 506 607 9935 466
34 23 8275 1047 42792 25099 35105 70285 81374 17712 245 53 852 732 515 637 9988 526
35 "" 9279 1124 43750 26937 36174 71523 84505 19546 275 53 877 733 529 671 9891 588
36 Sep 10102 1215 44783 29056 37192 72663 87731 21198 312 53 897 735 545 705 9905 632
37 13 11185 1344 45862 32951 38172 73975 91443 22254 330 53 916 754 559 744 9919 668
38 20 12226 1564 47431 37948 39042 75461 100654 24892 358 53 930 765 574 776 9944 746
39 "" 13153 1836 49400 42940 39895 77289 112709 26795 375 53 951 787 585 813 9974 808
40 Oct 14117 2110 52496 48019 40561 79852 127529 28234 392 53 977 809 595 851 10044 870
41 11 15231 2696 56451 54685 41752 83023 156838 30343 416 55 1020 858 608 891 10175 920
42 18 17055 3377 65460 65557 44964 87698 222160 34120 451 59 1091 910 626 929 10413 984
43 "" 19445 4325 80410 85048 50486 93707 333624 40894 480 72 1222 988 679 961 10899 1086
44 Nov 20875 4756 92254 106584 55269 99459 445795 50090 509 75 1363 1097 730 985 11734 1234
45 8 23705 5319 106424 146502 63748 105283 500685 61212 557 75 1559 1318 824 1004 13029 1490
46 15 27233 5725 117337 198216 73429 112870 531184 70900 612 75 1763 1629 946 1039 14303 1857
47 22 32196 6207 126224 240909 89898 123999 556808 79309 685 76 1952 2155 1107 1096 15522 2246
48 "" 36790 6610 134768 274275 114025 133324 576499 86710 787 76 2142 2822 1323 1143 16536 2576
49 Dec 42148 7005 141937 298231 142323 145279 591752 93768 889 78 2326 3674 1593 1198 17316 2922
50 13 47742 7288 148325 317031 171423 158334 608135 100306 989 78 2486 4355 1883 1254 17945 3298
51 20 52542 7560 153825 334629 199127 171579 625928 105524 1074 80 2630 5127 2175 1316 18616 3625
52 "" 55755 7806 157147 348359 213192 184922 638874 109330 1143 83 2763 5752 2454 1376 19192 3923
53 Jan 58991 8166 160027 362963 219462 198125 650009 112345 1190 84 2850 6214 2703 1442 19693 4100
54 10 63033 8586 162131 378110 224050 210368 664261 115379 1233 85 2929 6614 2890 1507 20069 4305
55 17 67216 9038 164586 389752 226951 223537 678838 117793 1270 91 2992 6964 2998 1573 20431 4449
56 24 71441 9499 166036 400187 228688 235859 693666 119840 1310 96 3039 7318 3072 1639 20779 4569
57 "" 77251 9885 167026 409892 230066 246570 710153 121891 1369 101 3080 7636 3126 1708 21092 4696
58 Feb 84212 10206 168088 419307 231022 256959 725610 123704 1446 105 3117 7884 3156 1773 21389 4791
59 14 91987 10463 169167 428692 231995 267029 738631 125642 1543 107 3141 8088 3178 1840 21662 4892
60 21 99062 10672 170402 439879 232973 276990 754473 128049 1653 107 3164 8247 3195 1903 21903 4995
61 "" 106215 10849 172058 453767 234267 285959 771510 131690 1775 110 3192 8394 3218 1966 22071 5088
62 Mar 112078 11019 174679 469539 236768 294432 787891 136498 1918 112 3221 8529 3241 2029 22261 5247
63 14 116813 11228 178385 488007 239692 301328 808283 143218 2030 112 3255 8652 3276 2087 22441 5488
64 21 120541 11481 183713 508744 245490 309293 837006 152754 2133 113 3348 8817 3339 2148 22707 5817
65 "" 123641 11809 190317 530844 254370 317631 870757 163875 2204 115 3464 8995 3464 2211 22897 6278
66 Apr 126183 12174 196634 552496 268714 326065 900995 174846 2256 117 3592 9165 3648 2276 23162 6803
67 11 128155 12497 202817 571805 283579 334863 926640 183125 2310 120 3735 9393 3879 2344 23470 7358
68 18 129456 12771 208520 588101 298522 342923 949994 190296 2340 123 3878 9616 4107 2413 23741 7837
69 "" 130409 13024 213288 603419 311465 351674 974417 195471 2372 124 4018 9821 4342 2483 24017 8242
70 May 131185 13232 216863 616614 320322 359982 995559 198832 2396 125 4139 9978 4538 2552 24284 8579
71 9 131666 13406 219270 626067 326056 367674 1017482 200989 2411 127 4234 10110 4666 2622 24554 8811
72 16 131978 13510 220860 632398 329371 374714 1031922 202313 2429 127 4323 10207 4768 2691 24707 9007
73 23 132176 13609 221948 636861 332235 384773 1048880 203253 2442 127 4392 10280 4851 2761 24841 9117
74 "" 132297 13693 222636 640162 333723 391637 1061196 203938 2449 127 4432 10334 4903 2821 24935 9222
75 Jun 132374 13758 223180 642429 334647 398909 1070801 204360 2451 127 4458 10373 4936 2900 25033 9395
76 13 132449 13813 223682 644361 335126 404740 1076337 204643 2453 127 4484 10396 4953 2969 25088 9488
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_European_Region02.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_European_Region02.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths European_Region by name [02]"
$data <<EOF
week day Bulgaria Croatia Cyprus Czechia Denmark Estonia Faroe_Is Finland Bulgaria Croatia Cyprus Czechia Denmark Estonia Faroe_Is Finland
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - 1 - - - - - - - -
6 9 - - - - - - - 1 - - - - - - - 0.00001
7 16 - - - - - - - 1 - - - - - - - 0.00001
8 23 - - - - - - - 1 - - - - - - - 0.00001
9 Mar - 7 - - 3 1 - 2 - 0.00001 - - 0.00001 0.00001 - 0.00001
10 8 2 11 - 26 31 10 1 19 0.00001 0.00001 - 0.00001 0.00001 0.00001 0.00001 0.00001
11 15 43 37 21 214 827 79 9 210 2 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001
12 22 163 206 84 995 1326 306 92 521 3 1 0.00001 0.00001 13 0.00001 0.00001 1
13 "" 331 657 179 2663 2201 640 155 1218 7 5 5 11 65 1 0.00001 9
14 Apr 503 1126 426 4472 4077 1018 181 1882 17 12 11 59 161 13 0.00001 25
15 12 661 1534 616 5902 5996 1304 184 2905 28 21 15 129 260 24 0.00001 49
16 19 878 1832 761 6654 7242 1512 184 3681 41 39 17 181 346 38 0.00001 90
17 "" 1247 2016 810 7352 8445 1635 187 4475 55 54 17 218 418 46 0.00001 186
18 May 1594 2088 864 7755 9407 1699 187 5179 72 77 20 245 475 53 0.00001 220
19 10 1955 2176 892 8095 10319 1733 187 5880 90 87 21 276 526 60 0.00001 265
20 17 2211 2224 914 8455 10858 1770 187 6286 108 95 17 296 543 63 0.00001 297
21 24 2408 2243 927 8890 11289 1821 187 6568 126 99 17 314 561 64 0.00001 306
22 "" 2513 2246 943 9230 11633 1865 187 6826 140 103 17 319 571 67 0.00001 316
23 Jun 2711 2247 960 9567 11924 1931 187 6964 160 104 18 327 587 69 0.00001 322
24 14 3266 2251 980 9991 12139 1973 187 7087 172 107 18 329 597 69 0.00001 325
25 21 3872 2299 985 10448 12391 1981 187 7142 199 107 19 336 600 69 0.00001 326
26 "" 4625 2624 994 11298 12675 1986 187 7191 216 107 19 347 604 69 0.00001 328
27 Jul 5677 3094 1002 12440 12832 1993 187 7248 241 113 19 351 606 69 0.00001 329
28 12 6672 3672 1014 13115 12946 2014 188 7279 262 118 19 352 609 69 0.00001 329
29 19 8638 4235 1037 13855 13173 2021 188 7318 299 120 19 358 611 69 0.00001 328
30 "" 10312 4792 1053 15212 13438 2033 191 7388 338 133 19 368 613 69 0.00001 329
31 Aug 11836 5224 1124 16699 13789 2072 225 7443 385 145 19 383 615 69 0.00001 329
32 9 13343 5543 1233 18235 14442 2147 291 7568 445 157 19 389 617 63 0.00001 331
33 16 14333 6420 1332 19891 15483 2184 370 7720 495 165 20 395 621 63 0.00001 333
34 23 15131 7900 1417 21790 16127 2265 384 7871 539 170 21 411 621 63 0.00001 334
35 "" 16164 9861 1483 24094 16700 2363 411 8049 605 183 21 421 624 64 0.00001 335
36 Sep 16954 11739 1507 27752 17547 2491 413 8225 665 197 21 431 627 64 0.00001 335
37 13 17891 13368 1523 35401 19216 2655 418 8512 717 218 21 453 629 64 0.00001 337
38 20 18819 14725 1580 48306 21847 2875 431 8922 755 244 22 499 635 64 0.00001 339
39 "" 19997 16007 1684 63294 26213 3165 460 9577 789 269 22 591 648 64 0.00001 343
40 Oct 21518 17401 1811 80605 29302 3577 473 10244 841 293 22 711 654 67 0.00001 345
41 11 23871 19932 1986 109374 32082 3846 477 11580 887 317 25 905 667 68 0.00001 346
42 18 29503 25580 2644 173885 35392 4078 485 13424 986 363 25 1422 680 68 0.00001 351
43 "" 40132 37208 3636 268370 41412 4428 490 14970 1136 452 25 2365 708 73 0.00001 354
44 Nov 52844 49316 4366 335102 46351 4905 495 16113 1279 546 26 3251 721 73 0.00001 358
45 8 74485 64704 5871 411220 54230 5933 495 17385 1632 752 28 4681 740 73 0.00001 362
46 15 97435 81844 7051 458229 61078 7148 497 19102 2091 1006 39 6058 757 80 0.00001 369
47 22 120697 100410 8456 490750 69635 9375 499 21216 2820 1304 43 7095 781 87 0.00001 375
48 "" 141747 123693 10231 518649 78354 11698 502 24307 3749 1655 48 8054 823 109 0.00001 393
49 Dec 160844 147454 12181 544179 88858 14500 506 27218 4729 2102 59 8815 878 126 0.00001 415
50 13 178952 172523 14800 579079 107116 17713 525 30073 5626 2562 77 9535 935 148 0.00001 453
51 20 191029 194962 17476 624140 131606 21794 546 32582 6551 3177 89 10331 1019 174 0.00001 489
52 "" 197384 204930 19391 670599 151167 25392 571 34084 7123 3671 111 11044 1153 204 0.00001 524
53 Jan 202880 212958 23445 740481 167541 29131 614 36107 7644 4072 129 11960 1345 244 0.00001 561
54 10 208406 219993 27011 831165 180240 33516 646 38068 8097 4368 147 13115 1542 283 1 586
55 17 211736 224954 28811 889159 188199 37079 649 39911 8474 4616 167 14338 1747 325 1 618
56 24 214696 228920 29887 937617 193917 40716 652 41915 8811 4827 183 15369 1969 376 1 644
57 "" 218618 232426 30770 984774 198095 44208 654 44402 9028 5027 197 16308 2106 419 1 671
58 Feb 223552 235402 31644 1034975 201186 47928 655 46894 9311 5169 211 17235 2215 461 1 692
59 14 229516 237657 32390 1088009 204067 52416 657 49572 9608 5318 220 18143 2284 495 1 710
60 21 236439 239945 33153 1153159 207081 57616 658 52653 9839 5429 229 19214 2333 535 1 726
61 "" 246706 242973 34424 1235480 210732 65600 658 56407 10167 5526 231 20339 2358 589 1 742
62 Mar 259811 246514 36575 1321331 214326 75003 658 60904 10593 5590 232 21717 2377 653 1 767
63 14 277878 251045 39277 1399078 219918 84807 661 66006 11234 5677 238 23226 2390 719 1 786
64 21 302480 257639 41882 1469547 224848 95401 661 71123 11966 5773 242 24667 2399 787 1 805
65 "" 327770 267222 44305 1515029 227049 103630 661 75545 12650 5893 250 25874 2413 847 1 817
66 Apr 352259 280026 47282 1551896 232718 109399 661 78106 13507 6058 261 26945 2428 941 1 846
67 11 371531 292516 51035 1580189 237101 114174 661 81707 14351 6308 272 27808 2439 1020 1 868
68 18 385963 307790 55407 1600347 241731 117554 662 83633 15138 6562 288 28426 2452 1092 1 887
69 "" 397100 322626 61576 1618076 247010 120215 663 85537 15859 6854 298 28946 2474 1143 1 903
70 May 404846 335173 66372 1634114 252045 122685 664 86808 16444 7182 313 29343 2489 1168 1 914
71 9 409961 344494 69163 1645061 258182 125126 668 88561 16902 7469 334 29667 2497 1201 1 922
72 16 414041 350390 70899 1652840 265539 127053 670 89878 17250 7708 346 29901 2502 1222 1 931
73 23 416565 353986 71836 1657893 272659 128592 676 91157 17487 7903 353 30020 2507 1240 1 932
74 "" 418221 356141 72159 1661159 279434 129486 712 92244 17657 8014 357 30104 2516 1251 1 948
75 Jun 419426 357565 72750 1663517 285636 130119 741 92770 17813 8086 363 30159 2518 1263 1 959
76 13 420294 358563 73157 1665097 289559 130510 755 93774 17898 8139 373 30225 2525 1266 1 964
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_European_Region03.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_European_Region03.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths European_Region by name [03]"
$data <<EOF
week day France Georgia Germany Gibraltar Greece Greenland Guernsey Holy_See France Georgia Germany Gibraltar Greece Greenland Guernsey Holy_See
4 Jan 3 - - - - - - - - - - - - - - -
5 Feb 6 - 8 - - - - - - - - - - - - -
6 9 11 - 14 - - - - - 0.00001 - 0.00001 - - - - -
7 16 12 - 16 - - - - - 1 - 0.00001 - - - - -
8 23 12 - 16 - - - - - 1 - 0.00001 - - - - -
9 Mar 100 3 57 - 3 - - - 2 0.00001 0.00001 - 0.00001 - - -
10 8 706 12 795 1 66 - - 1 10 0.00001 0.00001 0.00001 0.00001 - - 0.00001
11 15 4469 30 3795 1 228 - 1 1 91 0.00001 8 0.00001 2 - 0.00001 0.00001
12 22 14296 49 21463 10 530 2 1 1 562 0.00001 67 0.00001 13 0.00001 0.00001 0.00001
13 "" 37145 90 52547 56 1061 10 39 4 2311 0.00001 389 0.00001 32 0.00001 0.00001 0.00001
14 Apr 67757 170 91714 98 1673 10 136 7 7546 1 1342 1 68 0.00001 2 0.00001
15 12 92787 252 120479 113 2081 11 200 8 13814 3 2673 1 93 0.00001 6 0.00001
16 19 110721 394 139897 133 2207 11 236 8 19294 4 4294 0.00001 105 0.00001 9 0.00001
17 "" 122875 485 154175 136 2506 11 245 9 22580 5 5640 0.00001 130 0.00001 11 0.00001
18 May 129458 589 162496 144 2620 11 252 11 24724 8 6649 0.00001 143 0.00001 13 0.00001
19 10 137008 635 169218 146 2710 11 252 12 26268 10 7395 0.00001 151 0.00001 13 0.00001
20 17 140008 695 174355 147 2819 11 252 12 27578 12 7914 0.00001 162 0.00001 13 0.00001
21 24 142173 730 178281 151 2876 11 252 12 28281 12 8247 0.00001 171 0.00001 13 0.00001
22 "" 148436 783 181482 161 2915 13 252 12 28717 12 8500 0.00001 175 0.00001 13 0.00001
23 Jun 150022 809 183979 174 2952 13 252 12 29084 13 8668 0.00001 180 0.00001 13 0.00001
24 14 152460 864 186269 176 3112 13 252 12 29335 14 8787 0.00001 183 0.00001 13 0.00001
25 21 154562 906 189822 176 3256 13 252 12 29565 14 8882 0.00001 190 0.00001 13 0.00001
26 "" 156156 924 193499 176 3366 13 252 12 29700 15 8957 0.00001 191 0.00001 13 0.00001
27 Jul 158734 951 196335 178 3511 13 252 12 29808 15 9012 0.00001 192 0.00001 13 0.00001
28 12 161275 986 198804 180 3772 13 252 12 29907 15 9063 0.00001 193 0.00001 13 0.00001
29 19 164247 1028 201574 180 3983 13 252 12 30046 15 9084 0.00001 194 0.00001 13 0.00001
30 "" 169222 1131 205269 185 4166 13 252 12 30078 16 9118 0.00001 201 0.00001 13 0.00001
31 Aug 175920 1177 209893 187 4587 14 252 12 30147 17 9141 0.00001 206 0.00001 13 0.00001
32 9 185353 1225 215891 193 5421 14 252 12 30201 17 9196 0.00001 211 0.00001 13 0.00001
33 16 202118 1336 223453 206 6858 14 252 12 30277 17 9231 0.00001 226 0.00001 13 0.00001
34 23 223419 1411 232864 229 8381 14 252 12 30376 17 9269 0.00001 240 0.00001 13 0.00001
35 "" 256829 1469 241771 274 9977 14 252 12 30465 19 9295 0.00001 260 0.00001 13 0.00001
36 Sep 300515 1679 249985 305 11386 14 252 12 30546 19 9325 0.00001 280 0.00001 13 0.00001
37 13 353986 2227 259428 323 13036 14 253 12 30749 19 9349 0.00001 302 0.00001 13 0.00001
38 20 420855 3502 271415 346 14978 14 254 12 31109 19 9386 0.00001 331 0.00001 13 0.00001
39 "" 503658 5254 284140 364 17228 14 256 12 31514 28 9457 0.00001 376 0.00001 13 0.00001
40 Oct 580703 8118 299237 416 19613 14 256 12 31969 50 9529 0.00001 405 0.00001 13 0.00001
41 11 691368 11794 322864 468 22078 16 258 12 32449 85 9615 0.00001 436 0.00001 13 0.00001
42 18 867978 18663 366299 558 25370 16 258 26 33204 143 9789 0.00001 509 0.00001 13 0.00001
43 "" 1134296 32127 449275 667 31496 17 266 26 34721 238 10098 0.00001 581 0.00001 13 0.00001
44 Nov 1331808 40727 532930 693 39251 17 267 26 36473 335 10481 0.00001 626 0.00001 13 0.00001
45 8 1714361 57753 658505 770 54809 17 278 26 39849 475 11289 0.00001 749 0.00001 13 0.00001
46 15 1918345 79678 790503 876 72510 17 282 26 43913 703 12485 1 1035 0.00001 13 0.00001
47 22 2089353 104732 918269 943 90121 18 283 26 48170 976 14022 3 1527 0.00001 13 0.00001
48 "" 2169811 132368 1042700 999 103034 18 286 26 51767 1230 16123 5 2223 0.00001 13 0.00001
49 Dec 2241830 162475 1171322 1042 114568 18 288 26 54618 1504 18772 5 2902 0.00001 13 0.00001
50 13 2324603 189726 1320716 1070 123842 19 289 26 57392 1790 21787 5 3540 0.00001 13 0.00001
51 20 2418439 208638 1494009 1184 130485 19 291 26 60043 2094 26049 6 4102 0.00001 13 0.00001
52 "" 2507532 221605 1640858 1534 135114 26 297 26 62197 2377 29778 6 4553 0.00001 13 0.00001
53 Jan 2599127 229169 1765666 2212 139709 27 299 26 64543 2603 34272 7 4921 0.00001 13 0.00001
54 10 2721692 239229 1908527 3021 144293 29 302 26 67217 2773 40343 12 5227 0.00001 13 0.00001
55 17 2846971 247805 2033518 3575 148370 30 309 26 69753 2933 46419 30 5441 0.00001 13 0.00001
56 24 2985259 253518 2134936 3905 151646 30 310 26 72484 3055 51870 59 5622 0.00001 13 0.00001
57 "" 3126351 258111 2216363 4096 156473 30 449 26 75466 3178 56945 73 5779 0.00001 13 0.00001
58 Feb 3262505 262024 2284010 4170 163213 30 689 26 78389 3283 61517 80 5951 0.00001 13 0.00001
59 14 3390070 265557 2334561 4212 171466 30 782 26 81226 3352 64960 84 6103 0.00001 13 0.00001
60 21 3521249 268355 2386559 4228 178918 30 810 26 83707 3435 67841 88 6272 0.00001 14 0.00001
61 "" 3671208 270758 2442336 4236 189831 30 819 26 85872 3510 70045 92 6468 0.00001 14 0.00001
62 Mar 3814830 272851 2500182 4244 203978 31 821 26 87972 3576 71900 93 6705 0.00001 14 0.00001
63 14 3965264 274989 2569245 4263 219521 31 821 26 89632 3648 73371 93 7038 0.00001 14 0.00001
64 21 4180829 277480 2659516 4270 235611 31 821 26 91613 3700 74664 94 7421 0.00001 14 0.00001
65 "" 4435057 280301 2772401 4273 252590 31 821 26 93884 3751 75870 94 7826 0.00001 14 0.00001
66 Apr 4679794 283833 2885386 4275 273459 31 821 26 95875 3811 76963 94 8302 0.00001 14 0.00001
67 11 4945238 288396 2998268 4277 293763 31 821 26 97956 3877 78353 94 8833 0.00001 14 0.00001
68 18 5178513 295358 3142262 4291 313444 31 822 26 99921 3939 79914 94 9397 0.00001 14 0.00001
69 "" 5390187 303751 3287418 4283 331730 31 822 26 102031 4025 81564 94 9950 0.00001 14 0.00001
70 May 5553806 312445 3416822 4283 346422 31 822 26 103994 4151 83192 94 10453 0.00001 14 0.00001
71 9 5676293 321919 3520329 4286 360577 31 822 26 105544 4281 84775 94 10978 0.00001 14 0.00001
72 16 5769839 330375 3593434 4286 375831 31 822 26 106778 4442 86096 94 11365 0.00001 14 0.00001
73 23 5820918 337573 3648958 4286 388929 34 822 26 107403 4622 87380 94 11734 0.00001 14 0.00001
74 "" 5557673 343603 3679148 4293 400395 40 822 26 108543 4757 88406 94 12024 0.00001 14 0.00001
75 Jun 5605201 349098 3700367 4300 408789 40 823 26 109096 4910 89222 94 12253 0.00001 17 0.00001
76 13 5632993 353965 3714969 4308 414613 44 823 26 109499 5048 89834 94 12405 0.00001 17 0.00001
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_European_Region04.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_European_Region04.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths European_Region by name [04]"
$data <<EOF
week day Hungary Iceland Ireland Isle_of_Man Israel Italy Jersey Kazakhstan Hungary Iceland Ireland Isle_of_Man Israel Italy Jersey Kazakhstan
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - 2 - - - - - - - - - -
6 9 - - - - - 3 - - - - - - - 0.00001 - -
7 16 - - - - - 3 - - - - - - - 0.00001 - -
8 23 - - - - 1 76 - - - - - - 0.00001 2 - -
9 Mar - - 1 - 7 1128 - - - - 0.00001 - 0.00001 29 - -
10 8 7 45 19 - 25 5883 - - 0.00001 0.00001 0.00001 - 0.00001 234 - -
11 15 32 138 129 - 178 21157 2 6 0.00001 0.00001 2 - 0.00001 1441 0.00001 0.00001
12 22 131 473 785 2 883 53578 12 56 4 1 3 0.00001 1 4827 0.00001 0.00001
13 "" 408 963 2415 32 3865 92472 61 265 13 2 36 0.00001 15 10023 1 1
14 Apr 733 1417 4604 126 7589 124632 123 531 34 4 137 1 42 15362 3 5
15 12 1410 1689 8928 204 10525 152271 198 897 99 8 320 1 96 19470 4 10
16 19 1916 1760 14758 291 13107 175925 234 1546 189 9 571 4 158 23227 11 17
17 "" 2500 1790 18561 308 15398 195351 278 2601 272 10 1063 18 199 26384 19 25
18 May 2998 1798 21176 315 16152 209328 290 3877 340 10 1265 23 227 28710 23 26
19 10 3263 1801 22760 329 16444 218268 293 5056 413 10 1446 23 245 30395 25 31
20 17 3509 1802 24048 334 16608 224760 297 6157 451 10 1533 24 268 31763 27 34
21 24 3741 1804 24582 336 16712 229327 306 8322 486 10 1604 24 279 32735 29 35
22 "" 3867 1806 24929 336 17012 232664 308 10858 524 10 1651 24 284 33340 29 38
23 Jun 3970 1806 25183 336 17706 234801 309 12694 542 10 1670 24 292 33846 30 54
24 14 4064 1808 25295 336 18876 236651 313 14496 559 10 1705 24 300 34301 30 73
25 21 4094 1822 25374 336 20494 238275 318 17225 570 10 1715 24 305 34610 31 118
26 "" 4138 1836 25437 336 22519 240136 319 20780 578 10 1734 24 312 34716 31 173
27 Jul 4183 1860 25509 336 28433 241419 320 47171 589 10 1741 24 326 34854 31 240
28 12 4229 1888 25611 336 36821 242827 325 58253 595 10 1746 24 353 34945 31 352
29 19 4315 1922 25750 336 48041 244216 331 70339 596 10 1753 24 395 35042 31 375
30 "" 4435 1843 25869 336 60140 245864 332 81720 596 10 1764 24 454 35102 31 585
31 Aug 4526 1893 26109 336 68492 247832 335 91593 597 10 1763 24 493 35146 31 793
32 9 4653 1955 26644 336 79892 250103 345 109939 602 10 1772 24 579 35203 31 1109
33 16 4877 1999 27191 336 88488 253438 356 119781 607 10 1774 24 640 35392 31 1433
34 23 5133 2058 27908 336 99827 258136 363 127203 611 10 1777 24 798 35430 32 1633
35 "" 5669 2100 28720 336 110863 266853 374 130673 614 10 1777 24 885 35473 32 1781
36 Sep 7892 2136 29534 336 125084 276338 383 133924 624 10 1777 24 988 35534 32 1878
37 13 11825 2162 30730 337 142213 286297 380 136384 633 10 1783 24 1068 35603 32 1948
38 20 17990 2307 32538 339 176452 296569 393 138348 683 10 1792 24 1176 35692 32 1999
39 "" 24014 2601 34560 340 214071 308104 402 140175 736 10 1802 24 1395 35818 32 2043
40 Oct 30575 2872 37668 341 255160 322751 421 141484 822 10 1810 24 1629 35968 32 2075
41 11 36596 3460 41714 345 286109 349494 449 143632 933 10 1821 24 1877 36140 32 2106
42 18 47768 4055 49962 348 301024 414241 491 145473 1173 11 1852 24 2138 36543 32 2178
43 "" 63642 4504 58067 348 310105 542789 530 147615 1535 11 1885 24 2435 37479 32 2219
44 Nov 79199 4865 61456 353 313533 679430 574 150863 1819 12 1913 24 2517 38618 32 2251
45 8 109616 5063 64855 357 318077 902490 643 155876 2438 18 1945 24 2641 41063 32 2306
46 15 140961 5186 67526 363 322371 1144552 728 160612 3097 25 1978 25 2716 44683 32 2306
47 22 174618 5269 70143 368 327327 1380531 806 166625 3800 26 2022 25 2744 49261 32 2365
48 "" 211527 5371 71942 369 332192 1564532 923 173806 4672 26 2050 25 2831 54363 32 2477
49 Dec 250278 5476 73948 370 342929 1709991 1238 179344 5868 27 2099 25 2906 59514 32 2477
50 13 280400 5552 75756 370 350772 1825775 1637 185513 6965 28 2123 25 2956 64036 32 2542
51 20 302989 5621 78776 373 371373 1938083 2234 190969 8099 28 2154 25 3075 68447 36 2609
52 "" 316060 5683 85394 374 383715 2038759 2583 196216 9047 28 2200 25 3138 71620 41 2669
53 Jan 327995 5754 96926 380 425582 2141201 2760 203563 9884 29 2252 25 3338 74985 44 2845
54 10 342237 5880 140727 392 481306 2257866 2921 209369 10648 29 2336 25 3631 78394 57 2885
55 17 351828 5956 169780 418 539731 2368733 3044 215947 11341 29 2595 25 3940 81800 62 2956
56 24 359574 5981 186184 432 569152 2455185 3104 224395 11968 29 2947 25 4158 85162 63 2956
57 "" 367586 6002 195303 434 637242 2541783 3143 235844 12524 29 3292 25 4722 88279 66 3126
58 Feb 376495 6021 202548 434 677315 2625098 3173 244428 13090 29 3674 25 5014 91003 67 3185
59 14 387462 6033 208796 436 720393 2710819 3198 250476 13706 29 3931 25 5335 93356 67 3185
60 21 403023 6045 214378 449 742752 2795796 3213 257100 14299 29 4135 25 5522 95486 68 3311
61 "" 428599 6049 218980 475 764791 2907825 3215 262725 14974 29 4313 25 5669 97507 69 3389
62 Mar 466017 6059 222699 606 798354 3046762 3220 268327 15873 29 4419 25 5863 99578 69 3389
63 14 516490 6072 226358 1092 806257 3201838 3222 273521 16952 29 4534 25 5925 101881 69 3456
64 21 571596 6097 229831 1432 824716 3356331 3224 283027 18262 29 4585 26 6064 104642 69 3586
65 "" 633861 6163 233937 1551 831084 3512453 3225 292306 19972 29 4653 26 6165 107636 69 3696
66 Apr 679413 6225 237695 1570 833200 3650247 3229 305860 21504 29 4715 29 6231 110704 69 3812
67 11 720164 6258 240643 1574 835813 3754077 3230 323208 23417 29 4783 29 6292 113923 69 3963
68 18 750508 6286 243238 1575 836926 3857443 3232 341599 25184 29 4835 29 6334 116676 69 4157
69 "" 769518 6390 246204 1585 837974 3949517 3233 361575 26625 29 4872 29 6350 119021 69 4157
70 May 782892 6472 249437 1587 838535 4035617 3234 381078 27802 29 4906 29 6365 121033 69 4542
71 9 791709 6506 252303 1590 838887 4102921 3234 396130 28602 29 4921 29 6376 122694 69 4542
72 16 798147 6537 254870 1590 839118 4153374 3236 414345 29175 29 4941 29 6381 124063 69 4933
73 23 801672 6556 258258 1591 839316 4188190 3238 423193 29475 29 4941 29 6398 125153 69 4933
74 "" 804032 6576 261157 1592 839454 4213055 3243 441801 29624 30 4941 29 6408 126002 69 7321
75 Jun 806008 6604 263689 1597 839566 4230153 3243 450868 29770 30 4941 29 6418 126472 69 7465
76 13 806790 6616 266489 1599 839663 4243482 3274 458452 29820 30 4941 29 6430 126976 69 7586
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_European_Region05.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_European_Region05.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths European_Region by name [05]"
$data <<EOF
week day Kosovo Kyrgyzstan Latvia Liechtenstein Lithuania Luxembourg Malta Moldova Kosovo Kyrgyzstan Latvia Liechtenstein Lithuania Luxembourg Malta Moldova
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - - - - - - - - - - - - - -
8 23 - - - - - - - - - - - - - - - -
9 Mar - - - - 1 - - - - - - - 0.00001 - - -
10 8 - - 1 1 1 2 3 1 - - 0.00001 0.00001 0.00001 0.00001 0.00001 0.00001
11 15 - - 30 4 9 38 12 12 - - 0.00001 0.00001 0.00001 1 0.00001 0.00001
12 22 - 14 124 36 105 670 73 80 - 0.00001 0.00001 0.00001 1 8 0.00001 1
13 "" 91 84 305 61 394 1831 139 231 1 0.00001 0.00001 0.00001 7 18 0.00001 2
14 Apr 140 147 509 77 771 2729 213 752 1 1 1 1 9 31 0.00001 12
15 12 283 377 630 80 1053 3270 370 1560 7 5 3 1 23 62 3 30
16 19 510 554 712 82 1298 3537 426 2351 12 5 5 1 33 72 3 60
17 "" 731 682 804 83 1438 3711 448 3304 20 8 12 1 41 85 4 94
18 May 823 795 871 83 1406 3812 467 4052 22 10 16 1 46 92 4 124
19 10 870 1002 930 83 1444 3877 490 4867 28 12 18 1 50 101 5 165
20 17 944 1138 997 83 1534 3930 546 5934 29 14 19 1 55 104 6 209
21 24 1025 1403 1046 83 1616 3990 609 6994 29 14 22 1 63 109 6 250
22 "" 1064 1748 1065 83 1670 4016 616 8098 30 16 24 1 70 110 7 294
23 Jun 1151 2007 1086 83 1705 4035 622 9511 30 22 25 1 71 110 9 335
24 14 1437 2285 1097 83 1763 4063 646 11459 32 27 28 1 75 110 9 399
25 21 2030 3151 1111 83 1795 4105 664 13953 25 35 30 1 76 110 9 464
26 "" 2547 4513 1115 83 1813 4217 670 16080 37 46 30 1 78 110 9 526
27 Jul 3313 7094 1123 84 1831 4476 672 17672 54 78 30 1 79 110 9 582
28 12 4672 10629 1173 85 1865 4842 674 19208 91 132 30 1 79 110 9 640
29 19 5574 24984 1189 86 1915 5409 674 20794 120 923 31 1 80 111 9 680
30 "" 6874 32813 1206 87 2001 6189 686 22828 159 1277 31 1 80 112 9 733
31 Aug 8511 36719 1238 89 2093 6695 845 25113 227 1409 32 1 80 114 9 789
32 9 10016 39919 1288 89 2231 7113 935 27443 305 1468 32 1 81 119 9 841
33 16 11232 41856 1315 93 2386 7439 1247 29905 380 1495 32 1 81 123 9 895
34 23 12294 43023 1333 101 2594 7704 1577 33072 447 1056 33 1 84 124 10 935
35 "" 13172 43820 1375 107 2839 6580 1847 36404 498 1059 34 1 86 124 10 990
36 Sep 13984 44403 1425 108 3040 6854 2014 39473 546 1061 35 1 86 124 14 1063
37 13 14523 44881 1464 109 3296 7159 2247 42714 579 1063 35 1 86 124 15 1118
38 20 14959 45416 1515 112 3664 7718 2634 46336 604 1063 36 1 87 124 17 1201
39 "" 15382 46251 1654 117 4295 8311 2929 50534 609 1063 36 1 89 124 29 1279
40 Oct 15715 47428 2019 123 5081 8709 3139 55888 620 1066 38 1 94 125 37 1353
41 11 16087 49230 2596 138 5963 9360 3681 61762 635 1085 40 1 103 130 41 1458
42 18 16848 52526 3450 224 7726 10646 4282 67050 643 1111 44 1 113 133 45 1584
43 "" 18105 56738 4757 413 10949 14399 5373 71811 656 1136 60 1 136 147 50 1700
44 Nov 19799 59443 5894 533 14824 17933 6042 76040 671 1150 71 3 165 157 62 1785
45 8 23382 62819 7880 765 22719 22481 7039 81675 734 1177 96 3 203 185 74 1891
46 15 28573 66504 10231 970 33387 25931 7917 88772 799 1199 121 4 266 219 95 2006
47 22 33545 69581 12744 1109 44740 29762 8560 96689 894 1231 153 8 374 260 104 2130
48 "" 38388 72427 16561 1273 60193 33409 9501 105852 979 1266 193 15 493 300 128 2269
49 Dec 42294 75102 20787 1396 74649 37017 10423 115557 1077 1295 253 16 626 345 149 2403
50 13 46075 77356 25046 1502 93101 41272 11101 125723 1176 1307 324 18 815 396 166 2547
51 20 48639 79122 30297 1725 112359 44067 11621 134578 1238 1330 427 22 1019 440 187 2727
52 "" 50362 80373 35819 1998 130598 45776 12241 140996 1295 1348 515 26 1254 470 206 2883
53 Jan 51688 81305 41929 2221 146637 46838 12997 145694 1330 1359 668 33 1644 503 220 3020
54 10 53480 82273 48952 2379 159671 47876 14396 149093 1365 1369 818 38 2200 530 233 3130
55 17 55455 83109 55097 2441 167516 48757 15588 152640 1395 1384 961 40 2445 552 239 3245
56 24 57656 83900 60496 2504 176624 49581 16658 155937 1440 1400 1097 45 2649 564 251 3347
57 "" 59891 84529 65708 2561 182539 50547 17903 159513 1482 1412 1180 46 2803 579 267 3434
58 Feb 61966 85071 71320 2588 186770 51689 18676 164243 1510 1426 1327 46 2937 592 282 3530
59 14 64052 85475 76282 2611 190724 52699 19651 169805 1534 1441 1443 49 3070 606 290 3640
60 21 65939 85885 81109 2617 194051 53968 20762 176245 1561 1458 1538 52 3171 623 303 3760
61 "" 68760 86229 85810 2642 199145 55313 22219 184856 1585 1464 1614 52 3244 637 313 3924
62 Mar 72457 86550 90009 2663 202214 56506 24216 194605 1630 1471 1687 53 3328 657 329 4091
63 14 76505 86850 93484 2678 205385 57700 26267 203710 1686 1481 1757 54 3396 688 350 4294
64 21 81349 87389 97149 2704 209011 59210 27904 214203 1742 1490 1821 54 3476 715 369 4531
65 "" 87024 88092 100716 2731 213941 60755 28808 225660 1820 1495 1872 54 3551 738 385 4785
66 Apr 92932 89014 103867 2764 219711 62105 29189 234394 1896 1506 1923 54 3609 750 397 5092
67 11 97424 90227 107240 2842 226173 63650 29548 240886 1966 1522 1986 54 3687 768 402 5369
68 18 101110 91883 110997 2892 233631 64746 29927 245494 2051 1549 2048 54 3760 785 409 5548
69 "" 103772 93831 114955 2947 241297 66202 30149 248898 2108 1582 2101 56 3848 790 412 5709
70 May 105332 96060 119370 3022 249680 67397 30307 251160 2168 1619 2139 56 3950 797 415 5826
71 9 106302 98400 123331 3062 257827 68291 30438 252604 2193 1655 2208 57 4034 802 417 5943
72 16 106800 100473 127597 3073 265536 68922 30478 253736 2213 1703 2257 57 4103 806 417 6016
73 23 107170 102511 130712 3088 270849 69545 30504 254601 2229 1751 2323 57 4185 810 417 6072
74 "" 107339 104555 132918 3099 274199 69889 30529 255105 2233 1803 2370 57 4257 814 419 6100
75 Jun 107443 106973 134677 3111 276453 70182 30568 255432 2234 1847 2407 57 4307 818 419 6132
76 13 107528 110370 135940 3117 277746 70406 30581 255758 2239 1890 2451 58 4339 818 419 6152
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_European_Region06.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_European_Region06.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths European_Region by name [06]"
$data <<EOF
week day Monaco Montenegro N_Macedonia Netherlands Norway Poland Portugal Romania Monaco Montenegro N_Macedonia Netherlands Norway Poland Portugal Romania
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - - - - - - - - - - - - - -
8 23 - - - - - - - - - - - - - - - -
9 Mar 1 - 1 7 15 - - 3 0.00001 - 0.00001 0.00001 0.00001 - - 0.00001
10 8 1 - 3 188 147 6 21 13 0.00001 - 0.00001 1 0.00001 0.00001 0.00001 0.00001
11 15 2 - 13 959 907 111 112 123 0.00001 - 0.00001 12 1 3 0.00001 0.00001
12 22 18 14 85 3631 1926 536 1280 367 0.00001 0.00001 0.00001 136 7 5 12 0.00001
13 "" 19 82 241 9762 3845 1638 5170 1452 0.00001 1 4 639 20 18 100 29
14 Apr 37 197 483 16627 5510 3627 10524 3613 0.00001 2 17 1651 50 79 266 141
15 12 54 262 828 24413 6320 6356 15987 5990 0.00001 2 34 2643 98 208 470 282
16 19 98 308 1170 31589 6984 8742 19685 8418 1 5 49 3601 148 347 687 417
17 "" 68 319 1367 37190 7467 11273 23392 10635 1 6 59 4409 193 524 880 575
18 May 68 322 1506 40236 7759 13375 25190 12732 1 7 82 4987 204 664 1023 771
19 10 95 324 1622 42382 8069 15651 27406 15131 1 8 91 5422 213 785 1126 926
20 17 96 324 1762 43870 8197 18257 28810 16704 1 9 98 5670 232 915 1203 1081
21 24 98 324 1941 45064 8309 20931 30471 17857 1 9 113 5811 235 993 1302 1170
22 "" 98 324 2164 46257 8411 23571 32203 19133 1 9 131 5951 236 1061 1396 1253
23 Jun 99 324 2915 47335 8504 25986 34351 20290 1 9 151 6011 238 1153 1474 1318
24 14 99 324 3902 48640 8606 29017 36463 21679 1 9 179 6057 242 1237 1512 1391
25 21 99 359 5005 49502 8708 31620 38841 23730 1 9 233 6089 244 1346 1528 1500
26 "" 99 444 5906 50074 8815 33714 41189 26022 1 9 277 6105 249 1435 1561 1589
27 Jul 99 720 6932 50493 8895 35719 43569 28582 1 13 334 6117 251 1512 1605 1731
28 12 99 1164 7967 50866 8965 37521 46221 32079 1 23 375 6128 252 1568 1654 1871
29 19 99 1664 9026 51526 9015 39746 48390 36691 1 30 414 6129 255 1618 1684 2009
30 "" 99 2569 9934 52732 9085 42622 49955 43678 1 40 460 6140 255 1664 1716 2165
31 Aug 99 3253 10900 54732 9208 46346 51310 52111 1 51 493 6148 255 1721 1737 2379
32 9 99 3610 11771 57987 9468 51167 52537 60623 1 62 523 6157 256 1800 1750 2659
33 16 143 4013 12546 62437 9850 56090 53981 69374 1 75 535 6160 261 1869 1775 2954
34 23 108 4315 13308 66034 10197 61181 55211 77544 1 84 557 6191 264 1951 1792 3233
35 "" 130 4777 14293 69563 10543 66239 57448 85833 1 96 596 6215 264 2032 1818 3539
36 Sep 147 5518 14762 73790 11120 70387 59943 93864 1 107 606 6232 264 2113 1838 3850
37 13 169 6706 15694 80937 11866 73650 63310 102386 1 118 646 6244 265 2182 1860 4127
38 20 192 8114 16557 91841 12645 78330 68025 111550 1 134 689 6266 267 2282 1899 4402
39 "" 210 10284 17343 108521 13406 85980 72939 121235 1 158 721 6357 270 2424 1944 4687
40 Oct 222 12083 18602 131749 14149 98140 78247 134065 1 174 753 6440 275 2604 1995 4947
41 11 233 12917 20555 168082 15221 121638 85574 152403 1 190 785 6558 275 2972 2067 5358
42 18 265 15730 23628 228234 16136 175766 99911 180388 2 236 834 6751 278 3573 2181 5872
43 "" 310 16950 27199 301249 17908 263929 121133 212492 2 270 934 7062 279 4483 2343 6470
44 Nov 359 18958 31577 350764 19563 362731 141279 241339 2 313 994 7385 282 5631 2507 6968
45 8 483 23070 38782 403914 23225 521640 173540 296999 2 337 1110 7950 285 7636 2848 7793
46 15 545 26888 46062 441927 27226 691118 211266 353185 2 385 1281 8432 294 10045 3305 8813
47 22 581 30780 53631 478678 31438 843475 255970 412808 3 434 1487 8858 306 13288 3824 9916
48 "" 607 34887 60723 512695 34747 973593 290706 465982 3 487 1699 9313 328 16746 4363 11045
49 Dec 637 37981 67311 549784 37371 1054273 318640 508345 3 530 1901 9649 354 19861 4876 12186
50 13 668 41546 73087 603140 40022 1126700 344700 551900 3 582 2096 10010 387 22676 5461 13264
51 20 723 44037 77949 676589 42775 1202700 370787 587944 3 626 2274 10454 404 25397 6063 14296
52 "" 797 46740 81425 754171 44932 1257799 392996 613760 3 667 2427 10974 421 27118 6556 15108
53 Jan 901 49339 83789 813725 48278 1318562 423870 637395 4 690 2522 11565 436 29119 7045 15919
54 10 1053 52468 86150 866190 53792 1385522 476187 668202 5 725 2614 12307 471 31189 7701 16592
55 17 1194 55561 88749 906932 57734 1435582 539416 691488 8 745 2696 12963 517 33355 8709 17164
56 24 1345 58335 90471 944009 60565 1475445 624469 709194 8 768 2779 13510 544 35363 10194 17722
57 "" 1475 61719 92518 974761 62575 1513385 711018 726918 12 805 2848 13958 563 37180 12179 18264
58 Feb 1647 65227 94599 1001797 64483 1550255 761906 743343 20 836 2916 14355 582 39087 13954 18809
59 14 1755 68921 96872 1025787 66236 1588955 784079 760091 21 882 2976 14793 592 40807 15183 19325
60 21 1862 71995 99031 1051919 68107 1638767 796339 777276 22 939 3047 15200 607 42171 15897 19795
61 "" 1953 75833 102482 1083961 70034 1706986 803844 799164 24 999 3126 15542 622 43769 16276 20287
62 Mar 2019 79771 106832 1115508 73493 1794914 809412 824995 26 1059 3185 15803 632 45285 16512 20854
63 14 2106 83690 112107 1151180 78040 1906632 813716 855326 27 1122 3300 16045 639 47178 16669 21439
64 21 2173 85763 118736 1194520 84553 2058550 817080 892848 27 1169 3448 16260 648 49300 16762 22132
65 "" 2254 90081 126230 1244924 90934 2250991 820042 932179 28 1241 3642 16450 656 51884 16827 22997
66 Apr 2326 92517 132924 1295228 96770 2438542 822862 970224 29 1303 3860 16606 673 54941 16868 23973
67 11 2373 94417 141157 1342329 101959 2574631 826928 1002865 31 1373 4182 16754 684 58421 16910 25006
68 18 2395 95548 146733 1395233 106223 2688025 830560 1027039 31 1434 4419 16904 708 62032 16942 26072
69 "" 2429 96342 150274 1453058 109581 2758856 833964 1044722 31 1451 4650 17038 736 65415 16959 27267
70 May 2457 97613 152581 1502081 112540 2803233 836947 1056572 32 1503 4891 17169 756 68068 16976 28194
71 9 2479 98359 153891 1553292 115410 2833052 839258 1065254 32 1541 5079 17319 767 70012 16991 28903
72 16 2493 98844 154636 1593670 118275 2854079 841848 1071334 32 1560 5197 17436 774 71664 17006 29485
73 23 2501 99240 155028 1622761 120754 2865622 844811 1075236 32 1572 5296 17536 781 72928 17017 29885
74 "" 2503 99597 155246 1644633 124029 2871950 848213 1077426 32 1583 5398 17615 783 73738 17023 30247
75 Jun 2508 99804 155407 1661454 126169 2875136 852034 1078742 33 1591 5448 17675 785 74152 17032 30725
76 13 2524 99947 155528 1671678 127676 2877469 856740 1079657 33 1598 5471 17708 789 74573 17045 31825
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_European_Region07.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_European_Region07.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths European_Region by name [07]"
$data <<EOF
week day Russia San_Marino Serbia Slovakia Slovenia Spain Sweden Switzerland Russia San_Marino Serbia Slovakia Slovenia Spain Sweden Switzerland
4 Jan - - - - - - - - - - - - - - - -
5 Feb 2 - - - - 1 1 - - - - - - - - -
6 9 2 - - - - 1 1 - 0.00001 - - - - 0.00001 0.00001 -
7 16 2 - - - - 2 1 - 0.00001 - - - - 0.00001 0.00001 -
8 23 2 - - - - 2 1 - 0.00001 - - - - 0.00001 0.00001 -
9 Mar 2 1 - - - 45 13 18 0.00001 0.00001 - - - 0.00001 0.00001 0.00001
10 8 7 27 1 3 12 430 161 264 0.00001 1 0.00001 0.00001 0.00001 5 0.00001 2
11 15 34 92 41 44 141 5753 924 1359 0.00001 5 0.00001 0.00001 0.00001 136 0.00001 11
12 22 306 151 173 178 383 24926 1746 6077 0.00001 20 1 0.00001 1 1326 20 56
13 "" 1534 228 659 295 691 72248 3447 13152 8 22 10 0.00001 9 5690 102 235
14 Apr 4731 259 1624 471 977 124736 6443 20489 43 32 39 0.00001 22 11744 373 666
15 12 15770 356 3380 728 1188 161852 10151 24820 130 35 74 2 50 16353 887 831
16 19 42853 455 5994 1089 1317 191726 13822 27322 361 39 117 11 70 20043 1511 1110
17 "" 74588 513 7779 1373 1388 219764 18177 28978 681 40 151 17 81 22524 2192 1336
18 May 134687 580 9362 1407 1439 216582 22082 29734 1280 41 189 24 94 25100 2669 1466
19 10 209688 632 10032 1455 1454 223578 25921 30168 1915 41 213 26 101 26478 3220 1531
20 17 281752 652 10496 1493 1465 230698 29677 30489 2631 41 228 28 103 27563 3674 1601
21 24 344481 672 11092 1504 1478 235290 33188 30642 3541 42 238 28 106 28678 3992 1640
22 "" 405843 687 11381 1521 1473 239600 37113 30762 4693 42 242 28 108 29043 4395 1656
23 Jun 467673 695 11741 1528 1494 241310 43887 30873 5859 42 248 28 108 27135 4656 1660
24 14 528964 695 12251 1545 1492 243605 50931 31011 6948 42 253 28 109 27136 4874 1676
25 21 584680 713 12803 1586 1519 245938 56043 31217 8111 42 260 28 109 28322 5053 1680
26 "" 634437 713 13792 1657 1572 248469 65137 31472 9073 42 267 28 111 28341 5280 1681
27 Jul 681251 713 15829 1749 1679 250545 71419 32114 10161 42 306 28 111 28385 5420 1685
28 12 727162 713 18073 1893 1827 253908 74898 32713 11335 42 382 28 111 28403 5526 1685
29 19 771546 716 20498 1976 1940 260255 77281 33406 12342 42 461 28 111 28420 5619 1687
30 "" 812485 716 23263 2141 2066 272421 78997 34215 13269 42 526 28 115 28432 5697 1699
31 Aug 850870 716 25882 2337 2171 288522 80422 35412 14128 42 582 29 117 28445 5743 1707
32 9 887536 717 27863 2566 2247 314362 82323 36362 14931 42 632 31 120 28503 5763 1711
33 16 922853 719 29471 2855 2401 342813 84294 37831 15685 42 670 31 124 28617 5783 1714
34 23 956749 726 30548 3316 2617 386054 86068 39526 16383 42 695 33 127 28838 5810 1719
35 "" 990326 733 31282 3842 2834 439286 83958 41615 17093 42 710 33 128 29011 5821 1724
36 Sep 1025505 735 31849 4526 3131 498989 84985 43849 17820 42 723 37 130 29418 5835 1731
37 13 1062811 741 32300 5453 3603 566326 86505 46595 18578 42 731 38 131 29747 5846 1742
38 20 1103399 742 32840 6546 4309 640040 88237 49171 19418 42 740 39 133 30495 5865 1764
39 "" 1151438 746 33312 8600 5191 716481 90923 51747 20324 42 746 44 136 31232 5880 1777
40 Oct 1215001 750 33842 12321 6330 789932 94283 54263 21358 42 753 54 140 32086 5895 1783
41 11 1298718 766 34685 18797 8254 861112 98451 60230 22597 42 762 61 141 32929 5894 1793
42 18 1415316 784 36160 29835 13683 936560 103200 74227 24366 42 776 88 161 33775 5918 1822
43 "" 1547774 852 39827 45155 24080 1046132 110594 120680 26589 42 793 165 188 34752 5933 1913
44 Nov 1636781 958 46954 57664 34307 1185678 124355 153728 28235 42 820 219 231 35878 5938 2035
45 8 1774334 1101 60635 73667 44271 1328832 146461 211160 30537 42 880 351 378 38833 6022 2404
46 15 1925825 1253 81086 85567 54122 1458591 177355 256186 33186 42 989 510 500 40769 6164 2956
47 22 2089329 1427 116125 95257 64284 1556730 208295 289483 36179 43 1168 644 657 42619 6406 3567
48 "" 2269316 1586 163035 104632 74264 1628208 243129 317017 39527 45 1484 798 913 44668 6681 4236
49 Dec 2460770 1789 213843 115462 84775 1684647 278912 343101 43141 48 1891 981 1244 46252 7067 4832
50 13 2653928 1932 261437 132984 95481 1730575 320098 372329 46941 51 2275 1175 1448 47624 7514 5378
51 20 2848377 2107 296528 151336 105013 1797236 367120 402264 50858 55 2632 1555 2347 48926 7993 5981
52 "" 3050248 2264 323367 167523 114192 1854951 396048 426199 54778 57 2983 1773 2530 49824 8279 6508
53 Jan 3236787 2463 341904 187463 125086 1893502 437379 450075 58506 61 3288 2317 2889 50442 8727 7049
54 10 3401954 2650 357894 208209 139281 2025560 489471 475604 61837 64 3548 2918 3147 51690 9433 7545
55 17 3568209 2778 371216 223325 148556 2211967 523486 492787 65566 65 3730 3474 3327 53079 10323 7930
56 24 3719400 2874 382285 236476 157293 2456675 547166 506775 69462 65 3868 4068 3555 55041 11005 8300
57 "" 3850439 3025 393897 249913 166473 2705001 566957 518759 73182 67 4000 4642 3752 57806 11591 8601
58 Feb 3967281 3136 406352 263326 173696 2913425 588062 529285 76661 69 4112 5199 3891 60802 12115 8822
59 14 4071883 3304 419493 276234 179153 3041454 608411 538116 80126 72 4214 5812 3977 64217 12428 8982
60 21 4164726 3472 434122 292143 184351 3121687 631166 545158 83293 72 4321 6505 4056 66704 12649 9148
61 "" 4246079 3716 456450 308083 189630 3180212 657309 552290 86122 74 4429 7189 4110 68813 12826 9219
62 Mar 4322776 3922 482397 323390 195086 3142358 684961 559627 89100 76 4542 7836 4168 70501 13003 9278
63 14 4390608 4126 512051 337503 199855 3183704 712527 567967 92090 77 4694 8528 4218 72258 13146 9359
64 21 4456869 4356 546896 348869 205511 3206116 744272 577905 95030 79 4900 9044 4259 72793 13262 9455
65 "" 4519832 4626 581617 357910 212039 3247738 780018 589486 97740 84 5151 9496 4309 74420 13402 9577
66 Apr 4580894 4775 614365 365242 219422 3291394 813191 602578 100374 84 5422 10025 4368 75541 13498 9677
67 11 4641390 4956 639476 371062 225952 3336637 857401 619477 102986 85 5700 10565 4407 76179 13621 9764
68 18 4702101 5010 660299 375974 231599 3396685 900138 629507 105582 86 5954 11106 4460 76882 13788 9815
69 "" 4762569 5047 677972 379911 236612 3456886 938343 643562 108232 89 6196 11495 4523 77496 13923 9899
70 May 4823255 5066 690931 383098 241311 3514942 973604 656952 110862 90 6386 11766 4567 78080 14048 9971
71 9 4880262 5079 699574 385475 245795 3577486 1007792 670704 113326 90 6539 12019 4610 78879 14173 10069
72 16 4940245 5087 705890 387523 249018 3598452 1037126 676437 115871 90 6664 12224 4649 79281 14275 10122
73 23 5001505 5089 709673 388835 251531 3631661 1058341 684265 118482 90 6766 12292 4675 79601 14366 10169
74 "" 5063442 5090 712046 389690 253496 3663176 1068473 689924 121162 90 6844 12339 4692 79888 14451 10196
75 Jun 5126437 5090 713562 390436 255218 3693012 1078062 694181 123787 90 6909 12404 4707 80099 14523 10215
76 13 5208687 5090 714753 391026 256352 3729458 1083456 696934 126430 90 6958 12439 4721 80465 14574 10246
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_European_Region08.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_European_Region08.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths European_Region by name [08]"
$data <<EOF
week day Tajikistan Turkey UK Ukraine Uzbekistan Tajikistan Turkey UK Ukraine Uzbekistan
4 Jan - - - - - - - - - -
5 Feb - - 2 - - - - - - -
6 9 - - 3 - - - - 0.00001 - -
7 16 - - 9 - - - - 0.00001 - -
8 23 - - 9 - - - - 0.00001 - -
9 Mar - - 23 - - - - 0.00001 - -
10 8 - - 210 1 - - - 2 0.00001 -
11 15 - 5 1144 3 - - 0.00001 21 1 -
12 22 - 947 5018 47 33 - 21 233 3 0.00001
13 "" - 7402 17093 418 133 - 108 1019 9 2
14 Apr - 23934 41907 1251 298 - 501 4313 32 2
15 12 - 52167 78995 2777 796 - 1101 9875 83 3
16 19 - 82329 114221 5449 1495 - 1890 15464 141 5
17 "" - 107773 148381 8617 1865 - 2706 20319 209 8
18 May 76 124375 182264 11913 2127 2 3336 28131 288 9
19 10 561 137115 215264 15232 2387 19 3739 31587 391 10
20 17 1322 148067 240165 18291 2741 39 4096 34466 514 11
21 24 2738 155686 257158 20986 3132 44 4308 36675 617 13
22 "" 3807 163103 272830 23672 3554 47 4515 38376 708 14
23 Jun 4453 169218 284872 26999 4181 48 4669 40465 788 17
24 14 4971 176677 294379 31154 4994 50 4792 41662 889 19
25 21 5399 186493 303114 36560 6216 52 4927 42589 1002 19
26 "" 5799 195883 310254 42982 7725 52 5082 43514 1129 20
27 Jul 6159 204610 284904 47677 9829 52 5206 44198 1227 31
28 12 6505 211981 288957 53521 12706 55 5344 44798 1383 58
29 19 6834 218717 294070 58842 16429 57 5475 45273 1485 84
30 "" 7150 225173 298685 64849 20226 59 5596 45738 1605 112
31 Aug 7451 231869 303956 72168 25040 60 5710 46193 1725 149
32 9 7745 239622 309767 80949 30197 62 5829 46566 1897 190
33 16 8029 248117 316371 91356 34944 64 5955 41358 2070 228
34 23 8277 257032 324605 104958 38698 66 6102 41423 2271 269
35 "" 8516 267064 332756 119074 41303 68 6284 41498 2527 311
36 Sep 8757 278228 344168 135894 43476 70 6620 41549 2846 343
37 13 9014 289635 365178 154335 47042 72 6999 41623 3178 388
38 20 9303 301348 390362 175678 51235 73 7445 41759 3557 429
39 "" 9605 312966 429281 198634 54953 75 7929 41971 3959 454
40 Oct 9895 323014 480021 226462 58421 77 8384 42317 4397 479
41 11 10180 334031 590848 261035 60894 79 8778 42760 4972 503
42 18 10493 347493 722413 303638 63430 80 9296 43646 5673 529
43 "" 10819 363999 894694 355601 65765 81 9874 44998 6590 554
44 Nov 11017 375367 1011664 395440 67055 82 10252 46555 7306 568
45 8 11294 391739 1171445 460331 68593 83 10803 48888 8450 581
46 15 11573 411055 1344360 535857 70102 85 11418 51766 9603 598
47 22 11854 440805 1493387 624744 71552 86 12219 54626 10951 603
48 "" 12118 487912 1605176 722679 72809 86 13373 58030 12213 608
49 Dec 12389 533198 1705975 813306 73904 87 14705 61014 13588 611
50 13 12798 995471 1830960 894215 74811 87 16199 64026 15154 612
51 20 13182 1189947 2004223 964448 75806 89 17851 67075 16585 612
52 "" 13182 1319035 2256009 1025989 76751 89 19624 70405 17774 613
53 Jan 13182 1417697 2599793 1074093 77238 89 21295 74570 18854 614
54 10 13705 1502780 3017413 1115026 77572 91 22631 80868 19767 617
55 17 13705 1566327 3357365 1160682 77968 91 23832 88590 20802 619
56 24 13714 2424328 3617463 1191812 78375 91 24933 97329 21861 621
57 "" 13714 2470901 3796092 1219455 78711 91 25865 105571 22707 621
58 Feb 13714 2524786 3929839 1244849 79098 91 26685 112092 23597 621
59 14 13714 2579896 4027110 1271143 79416 91 27377 116908 24330 622
60 21 13714 2631876 4105679 1304456 79654 91 27983 120365 25103 622
61 "" 13714 2693164 4170523 1347849 79886 91 28503 122705 25982 622
62 Mar 13714 2769230 4213347 1401228 80176 91 28965 124419 27022 622
63 14 13714 2866012 4253824 1460756 80567 91 29421 125464 28303 622
64 21 13714 2992694 4291275 1546363 81339 91 29959 126122 29941 622
65 "" 13714 3179115 4329184 1644063 82340 91 30923 126573 31954 626
66 Apr 13714 3445052 4357095 1745709 83623 91 32078 126826 34333 631
67 11 13714 3798333 4368049 1853249 84922 91 33702 127080 37014 634
68 18 13714 4212645 4385942 1946510 86680 91 35608 127260 39786 637
69 "" 13714 4591416 4403174 2025271 89027 91 38011 127417 42323 643
70 May 13714 4849408 4418534 2083180 91643 91 40504 127524 44596 652
71 9 13714 5016141 4433094 2119510 94397 91 42746 127603 46393 662
72 16 13714 5106862 4448855 2153864 96670 91 44537 127675 48075 668
73 23 13714 5178648 4460450 2182521 98451 91 46071 127716 49368 680
74 "" 13714 5235978 4480949 2201472 100124 91 47271 127775 50472 690
75 Jun 13714 5282594 4511673 2214517 101722 91 48068 127836 51182 696
76 13 13714 5325435 4558498 2223558 103510 91 48668 127896 51679 708
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
# plot field 'deaths'
replot $data using 0:8 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:9 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:10 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:11 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:12 with lines lc 5 lw 2 title at 0.135, 0.691
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Other
edit(Data available only for 4 Jan 2020 ... 25 Oct 2020)
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Other01.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Other01.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:44-4]
set logscale y
set logscale y2
set yrange [1:8548111]
set y2range [1:8548111]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Other by name [01]"
$data <<EOF
week day Diamond_Princess Diamond_Princess
4 Jan - -
5 Feb - -
6 9 64 0.00001
7 16 355 0.00001
8 23 634 2
9 Mar 705 6
10 8 696 7
11 15 697 7
12 22 712 7
13 29 712 7
14 Apr 712 11
15 12 712 11
16 19 712 13
17 26 712 13
18 May 712 13
19 10 712 13
20 17 712 13
21 24 712 13
22 31 741 13
23 Jun 741 13
24 14 741 13
25 21 741 13
26 28 741 13
27 Jul 741 13
28 12 741 13
29 19 741 13
30 26 741 13
31 Aug 741 13
32 9 741 13
33 16 741 13
34 23 - -
35 30 741 13
36 Sep 741 13
37 13 741 13
38 20 741 13
39 27 741 13
40 Oct 741 13
41 11 741 13
42 18 741 13
43 25 741 13
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
# plot field 'deaths'
replot $data using 0:4 with lines lc 8 lw 2 title at 0.135, 0.763
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Region of the Americas
edit- File:WHO Covid rn confirmed,deaths Region of the Americas01.pdf: Anguilla * Antigua_Barbuda * Argentina * Aruba * Bahamas * Barbados * Belize * Bermuda
- File:WHO Covid rn confirmed,deaths Region of the Americas02.pdf: Bolivia * Bonaire * Br_Virgin_Is * Brazil * Canada * Cayman_Is * Chile *
- File:WHO Covid rn confirmed,deaths Region of the Americas03.pdf: Colombia * Costa_Rica * Cuba * Curacao * Dominica * Dominican_Republic * Ecuador * El_Salvador
- File:WHO Covid rn confirmed,deaths Region of the Americas04.pdf: Falkland_Is * Fr_Guiana * Grenada * Guadeloupe * Guatemala * Guyana * Haiti * Honduras
- File:WHO Covid rn confirmed,deaths Region of the Americas05.pdf: Jamaica * Martinique * Mexico * Montserrat * Nicaragua * Panama * Paraguay * Peru
- File:WHO Covid rn confirmed,deaths Region of the Americas06.pdf: Puerto_Rico * Saba * St_Barthelemy * St_Eustatius * St_Kitts_Nevis * St_Lucia * St_Maarten * St_Martin
- File:WHO Covid rn confirmed,deaths Region of the Americas07.pdf: St_Pierre_Miquelon * St_Vincent_Grenadines * Suriname * Trinidad_Tobago * Turks_Caicos_Is * USA * US_Virgin_Is * Uruguay
- File:WHO Covid rn confirmed,deaths Region of the Americas08.pdf: Venezuela
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas01.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas01.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Region_of_the_Americas by name [01]"
$data <<EOF
week day Anguilla Antigua_Barbuda Argentina Aruba Bahamas Barbados Belize Bermuda Anguilla Antigua_Barbuda Argentina Aruba Bahamas Barbados Belize Bermuda
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - - - - - - - - - - - - - -
8 23 - - - - - - - - - - - - - - - -
9 Mar - - - - - - - - - - - - - - - -
10 8 - - 9 - - - - - - - 1 - - - - -
11 15 - 1 45 - - - - - - 0.00001 2 - - - - -
12 22 - 1 158 5 4 5 - 2 - 0.00001 3 0.00001 0.00001 0.00001 - 0.00001
13 "" 2 7 690 46 10 24 2 17 0.00001 0.00001 17 0.00001 0.00001 0.00001 0.00001 0.00001
14 Apr 3 7 1353 64 24 51 4 35 0.00001 0.00001 42 0.00001 3 0.00001 0.00001 0.00001
15 12 3 21 1975 92 42 67 10 48 0.00001 2 82 0.00001 8 4 2 4
16 19 3 23 2784 96 54 75 18 83 0.00001 2 129 2 9 5 2 5
17 "" 3 24 3701 100 72 77 18 99 0.00001 3 179 2 11 6 2 5
18 May 3 24 4532 100 82 81 18 114 0.00001 3 229 2 11 7 2 6
19 10 3 25 5680 101 92 82 18 118 0.00001 3 297 3 11 7 2 7
20 17 3 25 7479 101 96 85 18 123 0.00001 3 363 3 11 7 2 9
21 24 3 25 10649 101 97 90 18 128 0.00001 3 439 3 11 7 2 9
22 "" 3 25 14702 101 101 92 18 140 0.00001 3 510 3 11 7 2 9
23 Jun 3 25 21037 101 103 92 19 141 0.00001 3 642 3 11 7 2 9
24 14 3 26 28764 101 103 96 20 142 0.00001 3 802 3 11 7 2 9
25 21 3 26 39570 101 104 97 22 146 0.00001 3 979 3 11 7 2 9
26 "" 3 26 55343 101 104 97 24 146 0.00001 3 1192 3 11 7 2 9
27 Jul 3 68 72786 104 104 97 30 146 0.00001 3 1453 3 11 7 2 9
28 12 3 74 94060 105 108 98 37 150 0.00001 3 1787 3 11 7 2 9
29 19 3 76 119301 108 129 104 40 152 0.00001 3 2204 3 11 7 2 9
30 "" 3 82 153520 117 316 108 48 153 0.00001 3 2847 3 11 7 2 9
31 Aug 3 91 191302 120 508 110 48 156 0.00001 3 3543 3 14 7 2 9
32 9 3 92 235677 263 830 138 146 158 0.00001 3 4450 3 14 7 2 9
33 16 3 93 282437 894 1119 148 388 159 0.00001 3 5565 4 17 7 3 9
34 23 3 94 329043 1387 1703 157 648 167 0.00001 3 6795 6 27 7 5 9
35 "" 3 94 392009 1848 2057 166 870 168 0.00001 3 8305 8 40 7 12 9
36 Sep 3 95 461882 2292 2476 178 1152 175 0.00001 3 9685 13 55 7 15 9
37 13 3 95 535705 2819 2874 180 1435 177 0.00001 3 11206 16 67 7 19 9
38 20 3 95 613658 3382 3177 185 1590 178 0.00001 3 12705 23 69 7 20 9
39 "" 3 98 691235 3756 3790 190 1808 181 0.00001 3 15208 25 89 7 23 9
40 Oct 3 106 779689 3998 4332 196 2080 181 0.00001 3 20599 27 96 7 28 9
41 11 3 111 871468 4150 4955 205 2427 184 0.00001 3 23225 31 106 7 35 9
42 18 3 119 989680 4322 5773 222 2813 185 0.00001 3 26267 34 123 7 44 9
43 "" 3 124 1090589 4420 6466 233 3145 190 0.00001 3 28896 36 132 7 50 9
44 Nov 3 127 1157179 4472 6644 236 3462 199 0.00001 3 30792 37 142 7 58 9
45 8 3 130 1228814 4564 6916 242 4016 209 0.00001 3 33136 39 151 7 67 9
46 15 3 133 1296378 4639 7163 249 4715 222 0.00001 4 35045 43 155 7 85 9
47 22 3 139 1359042 4693 7367 255 5056 227 0.00001 4 36790 45 163 7 107 9
48 "" 4 141 1407277 4791 7496 270 5587 247 0.00001 4 38216 45 163 7 141 9
49 Dec 7 144 1454631 4923 7570 285 7383 288 0.00001 4 39512 45 163 7 170 9
50 13 10 147 1489328 5011 7659 292 8965 391 0.00001 4 40606 46 163 7 185 9
51 20 10 152 1531374 5124 7733 307 9929 516 0.00001 5 41672 47 164 7 215 9
52 "" 12 155 1574554 5228 7788 347 10490 561 0.00001 5 42422 47 169 7 228 9
53 Jan 15 159 1629594 5442 7871 395 10807 604 0.00001 5 43319 49 170 7 249 10
54 10 15 169 1703352 5883 7969 808 11202 646 0.00001 5 44273 50 175 7 271 12
55 17 15 187 1783047 6296 8032 1036 11529 670 0.00001 6 45227 52 175 7 281 12
56 24 15 195 1853830 6623 8101 1243 11700 686 0.00001 6 46575 52 175 9 290 12
57 "" 17 218 1915362 6858 8174 1498 11877 691 0.00001 7 47775 58 176 12 301 12
58 Feb 17 277 1970009 7134 8256 1676 12013 692 0.00001 7 48985 61 176 18 306 12
59 14 18 427 2021553 7338 8311 1947 12134 694 0.00001 9 50188 68 178 23 313 12
60 21 18 598 2054681 7553 8403 2677 12227 699 0.00001 11 51000 70 179 30 314 12
61 "" 18 726 2104197 7804 8519 2994 12293 705 0.00001 14 51946 71 179 33 314 12
62 Mar 18 813 2146714 8009 8600 3217 12335 722 0.00001 21 52870 75 181 37 315 12
63 14 21 962 2192025 8272 8722 3391 12370 735 0.00001 27 53646 77 185 37 316 12
64 21 22 1033 2234913 8624 8839 3512 12400 767 0.00001 28 54476 81 186 39 316 12
65 "" 23 1122 2291051 9073 9000 3603 12440 947 0.00001 28 55235 82 188 41 317 12
66 Apr 25 1170 2373153 9503 9171 3665 12456 1362 0.00001 28 56023 86 188 42 317 12
67 11 29 1182 2497881 9896 9417 3708 12487 1773 0.00001 30 57350 92 189 44 318 14
68 18 29 1213 2658628 10219 9696 3773 12538 2060 0.00001 31 59084 92 194 44 318 17
69 "" 58 1222 2824652 10469 10050 3820 12599 2315 0.00001 31 61176 95 196 44 321 23
70 May 93 1232 2977363 10608 10453 3863 12668 2393 0.00001 32 63865 98 199 44 323 28
71 9 99 1237 3118134 10737 10773 3931 12686 2434 0.00001 32 66872 100 212 45 323 30
72 16 109 1240 3269466 10826 11073 3961 12714 2466 0.00001 32 69853 104 217 46 323 32
73 23 109 1255 3482512 10892 11499 3985 12764 2488 0.00001 42 73391 106 225 47 323 32
74 "" 109 1259 3702422 10957 11745 4009 12791 2491 0.00001 42 76693 107 229 47 324 32
75 Jun 109 1263 3915397 11018 11930 4029 12861 2494 0.00001 42 80411 107 232 47 325 33
76 13 109 1263 4093090 11069 12052 4033 12938 2497 0.00001 42 84628 107 234 47 325 33
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas02.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas02.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Region_of_the_Americas by name [02]"
$data <<EOF
week day Bolivia Bonaire Bonaire_St_Eustatius_Saba Br_Virgin_Is Brazil Canada Cayman_Is Chile Bolivia Bonaire Bonaire_St_Eustatius_Saba Br_Virgin_Is Brazil Canada Cayman_Is Chile
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - 4 - - - - - - - - - -
6 9 - - - - - 7 - - - - - - - 0.00001 - -
7 16 - - - - - 7 - - - - - - - 0.00001 - -
8 23 - - - - - 9 - - - - - - - 0.00001 - -
9 Mar - - - - 2 19 - - - - - - 0.00001 0.00001 - -
10 8 - - - - 19 57 - 5 - - - - 0.00001 0.00001 - 0.00001
11 15 3 - - - 121 244 1 61 0.00001 - - - 0.00001 1 0.00001 0.00001
12 22 19 - - - 904 1048 3 434 0.00001 - - - 11 13 1 1
13 "" 74 - - 2 3417 4757 8 1909 0.00001 - - 0.00001 92 55 1 6
14 Apr 139 - 2 3 9056 12938 28 4161 10 - 0.00001 0.00001 359 214 1 27
15 12 275 - 2 3 19638 22544 45 6927 20 - 0.00001 0.00001 1056 600 1 73
16 19 493 - 5 3 33682 32400 61 9730 31 - 0.00001 0.00001 2141 1346 1 126
17 "" 807 - 5 6 52995 44353 70 12858 44 - 0.00001 1 3670 2350 1 181
18 May 1229 - 6 6 91589 55572 74 18435 66 - 0.00001 1 6329 3446 1 247
19 10 2266 - 6 7 145328 66780 81 27219 106 - 0.00001 1 9897 4628 1 304
20 17 3577 - 6 8 218223 74993 94 41428 164 - 0.00001 1 14817 5595 1 421
21 24 5579 - 6 8 330890 82892 129 65393 230 - 0.00001 1 21048 6277 1 673
22 "" 8731 - 7 8 465166 89741 141 94858 300 - 0.00001 1 27878 6996 1 997
23 Jun 12728 - 7 8 645771 94335 164 127745 427 - 0.00001 1 35026 7703 1 1541
24 14 16929 - 7 8 828810 97943 187 167355 559 - 0.00001 1 41828 8049 1 3101
25 21 22476 - 7 8 1032913 100629 195 236748 715 - 0.00001 1 48954 8346 1 4295
26 "" 29423 - 7 8 1274974 102794 196 267766 934 - 0.00001 1 55961 8508 1 5347
27 Jul 36818 - 7 8 1539081 105091 201 291847 1320 - 0.00001 1 63174 8663 1 6192
28 12 45565 - 7 8 1800827 107126 201 312029 1702 - 0.00001 1 70398 8759 1 6881
29 19 56102 - 10 8 2046328 109669 203 328846 2049 - 0.00001 1 77851 8839 1 8445
30 "" 66456 - 11 8 2343366 113206 203 343592 2473 - 0.00001 1 85238 8881 1 9020
31 Aug 76789 - 11 8 2662485 116312 203 357658 2977 - 0.00001 1 92475 8935 1 9533
32 9 87891 - 13 9 2962442 118985 203 371023 3524 - 0.00001 1 99572 8970 1 10011
33 16 97950 - 13 9 3275520 121652 203 383902 3939 - 0.00001 1 106523 9020 1 10395
34 23 107435 - 13 21 3532330 124372 205 395708 4366 - 0.00001 1 113358 9064 1 10792
35 "" 114409 - 15 35 3804803 127358 205 408009 4846 - 0.00001 1 119504 9108 1 11181
36 Sep 119580 - 18 63 4092832 131124 205 420434 5343 - 0.00001 1 125521 9141 1 11551
37 13 125172 - 25 66 4282164 135626 208 432666 7250 - 0.00001 1 130396 9163 1 11895
38 20 130051 - 36 71 4495183 141911 208 444674 7550 - 1 1 135793 9205 1 12254
39 "" 133222 - 85 71 4689613 150456 210 455979 7800 - 1 1 140537 9255 1 12591
40 Oct 136219 - 124 71 4880523 162659 213 468471 8045 - 1 1 145388 9409 1 12919
41 11 138226 - 148 71 5055888 178117 220 479595 8262 - 2 1 149639 9585 1 13272
42 18 139771 - 150 72 5235344 198148 233 493305 8481 - 3 1 153905 9760 1 13676
43 "" 140853 - 150 72 5394128 216104 239 503598 8645 - 3 1 157134 9946 1 14003
44 Nov 141631 - 153 72 5516658 231999 240 510256 8715 - 3 1 159477 10110 1 14207
45 8 142343 135 - 72 5631181 255809 250 519977 8781 3 - 1 162015 10436 1 14499
46 15 143069 136 - 72 5810652 287318 254 529676 8835 3 - 1 164737 10828 1 14777
47 22 143854 139 - 72 6020164 320719 261 539143 8900 3 - 1 168613 11334 2 15030
48 "" 144494 142 - 72 6238350 359064 274 548941 8943 3 - 1 171974 11894 2 15322
49 Dec 145325 145 - 73 6533968 402569 288 558668 8987 3 - 1 175964 12496 2 15592
50 13 146697 150 - 76 6836227 448841 298 569781 9013 3 - 1 180437 13251 2 15846
51 20 149149 154 - 86 7162978 495346 311 583354 9033 3 - 1 185650 14040 2 16101
52 "" 153590 - 182 93 7448560 539298 318 598394 9083 - 3 1 190488 14781 2 16404
53 Jan 162055 - 189 93 7700578 587639 338 615902 9186 - 3 1 195411 15679 2 16724
54 10 171154 254 - 114 8013708 644348 359 637742 9328 3 - 1 201460 16707 2 17037
55 17 183589 329 - 121 8393492 695707 374 665493 9571 3 - 1 208246 17729 2 17435
56 24 198257 350 - 137 8753920 737407 383 694647 9871 3 - 1 215243 18828 2 17854
57 "" 213392 362 - 141 9118513 770793 390 722900 10226 3 - 1 222666 19801 2 18339
58 Feb 225910 366 - 141 9447165 797756 405 748082 10687 3 - 1 230034 20609 2 18895
59 14 235098 372 - 151 9765455 820306 416 772395 11107 4 - 1 237489 21162 2 19443
60 21 240676 387 - 153 10081676 840586 428 795845 11390 4 - 1 244765 21576 2 19974
61 "" 247891 406 - 153 10455630 861472 438 821418 11609 4 - 1 252835 21915 2 20476
62 Mar 253297 455 - 154 10869227 881761 451 850483 11789 5 - 1 262770 22192 2 21008
63 14 258324 455 - 154 11363380 903233 468 885379 11903 5 - 1 275105 22404 2 21574
64 21 263808 919 - 154 11871390 927069 475 925089 12041 6 - 1 290314 22617 2 22180
65 "" 268711 1221 - 154 12404414 956655 487 969913 12143 10 - 1 307112 22826 2 22653
66 Apr 273947 - 1411 154 12910082 987918 501 1019478 12305 - 11 1 328206 23002 2 23421
67 11 280649 1475 - 178 13373174 1045278 516 1068522 12428 14 - 1 348718 23251 2 24213
68 18 287360 1511 - 187 13832455 1106062 525 1117348 12625 14 - 1 368749 23541 2 25055
69 "" 295892 1527 - 194 14237078 1164581 534 1162811 12783 15 - 1 386416 23883 2 25742
70 May 305594 1531 - 194 14659011 1219425 543 1204755 12975 16 - 1 403781 24219 2 26457
71 9 316153 1547 - 219 15082449 1273169 548 1241976 13182 16 - 1 419114 24529 2 27101
72 16 329733 1564 - 248 15519525 1318399 565 1280252 13451 17 - 1 432628 24869 2 27734
73 23 346070 1580 - 248 15970949 1352121 574 1323413 13857 17 - 1 446309 25162 2 28386
74 "" 364570 1585 - 289 16391930 1374275 581 1369756 14377 17 - 1 459045 25440 2 29047
75 Jun 383457 1589 - 289 16841408 1389508 587 1420266 14900 17 - 1 470842 25679 2 29816
76 13 403291 1591 - 295 17296118 1399716 592 1468992 15417 17 - 1 484235 25886 2 30579
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas03.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas03.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Region_of_the_Americas by name [03]"
$data <<EOF
week day Colombia Costa_Rica Cuba Curacao Dominica Dominican_Republic Ecuador El_Salvador Colombia Costa_Rica Cuba Curacao Dominica Dominican_Republic Ecuador El_Salvador
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - - - - - - - - - - - - - -
8 23 - - - - - - - - - - - - - - - -
9 Mar - - - - - - 1 - - - - - - - 0.00001 -
10 8 1 5 - - - 1 14 - 0.00001 0.00001 - - - 0.00001 0.00001 -
11 15 24 23 4 2 - 5 23 - 0.00001 0.00001 0.00001 0.00001 - 0.00001 0.00001 -
12 22 196 113 16 3 - 72 506 1 0.00001 2 1 1 - 2 7 0.00001
13 "" 539 263 119 7 11 581 1823 19 6 2 3 1 0.00001 20 48 0.00001
14 Apr 1267 416 288 11 11 1488 3465 56 25 2 6 1 0.00001 68 172 3
15 12 2473 558 620 14 16 2620 7257 118 80 3 16 1 0.00001 126 315 6
16 19 3439 649 986 14 16 4335 9022 190 153 4 32 1 0.00001 217 456 7
17 "" 4881 687 1337 14 16 5926 22719 274 225 6 51 1 0.00001 273 576 8
18 May 7006 725 1611 16 16 7578 27464 446 314 6 66 1 0.00001 326 1371 10
19 10 10051 773 1754 16 16 9882 28818 784 428 6 74 1 0.00001 385 1704 16
20 17 14216 843 1862 16 16 12110 31467 1265 546 8 79 1 0.00001 428 2594 25
21 24 19131 911 1931 16 16 14422 36258 1819 682 10 81 1 0.00001 458 3096 33
22 "" 26688 1022 2025 20 16 16908 38571 2395 853 10 83 1 0.00001 498 3334 44
23 Jun 36635 1263 2173 21 16 19195 42728 2934 1145 10 83 1 0.00001 536 3608 53
24 14 46858 1612 2238 22 18 22572 46356 3603 1545 12 84 1 0.00001 577 3874 72
25 21 63276 2058 2309 23 18 25778 50183 4475 2045 12 85 1 0.00001 655 4199 93
26 "" 84442 2836 2330 23 18 30619 54574 5727 2811 12 86 1 0.00001 718 4424 143
27 Jul 109505 4311 2369 25 18 36184 61535 7507 3777 18 86 1 0.00001 786 4769 210
28 12 140776 6845 2420 25 18 43114 67209 9391 4925 27 87 1 0.00001 880 5031 254
29 19 182140 9969 2445 28 18 51519 73382 11508 6288 47 87 1 0.00001 971 5282 324
30 "" 233541 13669 2478 29 18 60896 80036 14221 7975 87 87 1 0.00001 1055 5507 390
31 Aug 295508 17820 2633 29 18 71415 86232 17050 10105 150 87 1 0.00001 1170 5736 459
32 9 367196 22081 2888 31 18 78778 93572 19978 12250 218 88 1 0.00001 1289 5916 536
33 16 445111 26931 3292 32 18 85545 100688 22619 14492 281 88 1 0.00001 1438 6065 603
34 23 522138 32134 3617 37 19 90561 107089 24420 16568 340 89 1 0.00001 1554 6277 654
35 "" 590520 38485 3925 55 20 93726 112906 25537 18767 407 94 1 0.00001 1673 6537 708
36 Sep 650062 45680 4298 78 22 98776 118045 26206 20888 469 100 1 0.00001 1840 6724 752
37 13 702088 53969 4653 135 24 102232 114732 26851 22518 583 108 1 0.00001 1941 10836 782
38 20 750471 62374 5055 210 24 107700 125620 27428 23850 686 113 1 0.00001 2044 11089 808
39 "" 798317 70816 5412 315 24 110957 133981 28415 25103 812 120 1 0.00001 2093 11273 826
40 Oct 841531 77829 5780 399 31 113926 140351 29358 26397 930 122 1 0.00001 2128 11597 857
41 11 894300 86053 5948 532 32 118014 146828 29951 27495 1055 123 1 0.00001 2167 12188 887
42 18 959572 95514 6258 744 33 121667 153423 31666 28970 1183 127 1 0.00001 2203 12395 926
43 "" 1015885 103088 6595 858 38 124843 161635 32925 30154 1282 128 1 0.00001 2225 12553 953
44 Nov 1063151 108866 6887 944 50 127018 168192 33445 31135 1371 128 1 0.00001 2245 12670 975
45 8 1127733 115417 7267 1030 63 129645 173486 35145 32405 1453 130 2 0.00001 2263 12815 1006
46 15 1182697 122123 7568 1215 68 133225 179627 36358 33669 1537 131 2 0.00001 2282 12997 1039
47 22 1233444 129418 7798 1561 72 137770 184876 37250 34929 1608 132 3 0.00001 2308 13139 1070
48 "" 1290510 137093 8173 2046 85 142653 190909 38405 36214 1690 133 3 0.00001 2328 13371 1107
49 Dec 1352607 143685 8714 2740 85 147655 197391 39718 37467 1773 136 7 0.00001 2345 13756 1153
50 13 1408909 150947 9354 3404 87 153585 201524 41394 38669 1895 137 8 0.00001 2360 13874 1193
51 20 1482072 157472 10024 3823 88 159064 205920 43195 40019 1996 137 11 0.00001 2382 13948 1242
52 "" 1574707 162990 11038 4051 96 165940 209274 44619 41690 2086 141 12 0.00001 2404 13990 1297
53 Jan 1654880 169321 12225 4230 96 172965 214513 46242 43495 2185 146 14 0.00001 2416 14059 1351
54 10 1755568 177614 14188 4405 106 180644 220349 48574 45431 2305 148 18 0.00001 2424 14177 1408
55 17 1870179 184187 17501 4498 110 191339 230808 50157 47868 2416 166 19 0.00001 2432 14316 1479
56 24 1987418 189308 20627 4537 113 202507 238232 52672 50586 2518 191 20 0.00001 2513 14596 1551
57 "" 2077633 193276 25674 4574 117 212553 249779 53989 53284 2604 213 20 0.00001 2646 14851 1614
58 Feb 2142660 196438 32011 4597 121 222148 257115 56237 55403 2672 233 21 0.00001 2801 15004 1673
59 14 2185169 199187 37483 4633 121 228895 265527 57428 57196 2714 261 22 0.00001 2932 15269 1734
60 21 2217001 201678 43484 4666 134 234502 273097 58546 58511 2763 291 22 0.00001 3028 15513 1792
61 "" 2244792 204341 49161 4708 142 239009 282599 59866 59518 2800 318 22 0.00001 3093 15713 1847
62 Mar 2269582 206640 54835 4751 144 242660 292943 60800 60300 2833 344 22 0.00001 3162 16020 1894
63 14 2294617 209093 60558 4751 156 245616 300666 62086 60950 2862 366 22 0.00001 3213 16215 1945
64 21 2324426 211903 65962 5520 157 248989 310868 62531 61771 2896 392 23 0.00001 3269 16435 1975
65 "" 2367337 215178 71584 6648 161 251582 322699 63766 62645 2931 414 27 0.00001 3302 16679 1998
66 Apr 2428048 216764 78382 8834 165 253781 333175 64431 63777 2957 431 38 0.00001 3334 16910 2021
67 11 2504206 222544 85572 10632 165 257186 344877 65491 65283 3018 453 60 0.00001 3385 17275 2048
68 18 2619422 228577 92474 11674 172 260627 358157 67404 67564 3071 512 80 0.00001 3414 17641 2072
69 "" 2740544 236930 100318 12022 173 263944 372754 68318 70446 3136 581 99 0.00001 3451 18158 2098
70 May 2859724 250991 107622 12181 174 266861 384589 69198 73720 3231 654 108 0.00001 3487 18724 2128
71 9 2968626 265486 114912 12222 175 270600 398921 70255 76867 3365 722 113 0.00001 3523 19137 2150
72 16 3084460 282741 123221 12244 178 276272 409520 70915 80250 3547 796 118 0.00001 3569 19692 2182
73 23 3192050 299219 131832 12266 184 282685 417840 72220 83719 3765 863 122 0.00001 3606 20180 2211
74 "" 3342567 314102 140087 12271 188 290526 424741 73246 87207 3962 943 122 0.00001 3628 20485 2241
75 Jun 3518046 327979 147831 12276 188 299681 431429 74141 90890 4153 1003 122 0.00001 3652 20773 2266
76 13 3694707 339900 156238 12291 189 307847 437121 75351 94615 4322 1057 123 0.00001 3705 20997 2292
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas04.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas04.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Region_of_the_Americas by name [04]"
$data <<EOF
week day Falkland_Is Fr_Guiana Grenada Guadeloupe Guatemala Guyana Haiti Honduras Falkland_Is Fr_Guiana Grenada Guadeloupe Guatemala Guyana Haiti Honduras
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - - - - - - - - - - - - - -
8 23 - - - - - - - - - - - - - - - -
9 Mar - - - - - - - - - - - - - - - -
10 8 - 5 - - - - - - - 0.00001 - - - - - -
11 15 - 7 - 3 - 1 - 2 - 0.00001 - 0.00001 - 1 - 0.00001
12 22 - 15 - 51 12 5 2 24 - 0.00001 - 0.00001 1 1 0.00001 0.00001
13 "" - 31 7 96 32 5 8 67 - 0.00001 0.00001 2 1 1 0.00001 1
14 Apr 1 62 12 130 50 23 18 264 0.00001 0.00001 0.00001 7 1 4 0.00001 15
15 12 5 86 14 143 137 37 31 392 0.00001 0.00001 0.00001 8 3 6 2 24
16 19 11 96 13 145 235 63 44 457 0.00001 0.00001 0.00001 11 7 6 3 46
17 "" 13 109 15 149 430 73 72 591 0.00001 1 0.00001 12 13 7 6 55
18 May 13 128 20 152 644 82 85 899 0.00001 1 0.00001 12 18 9 8 75
19 10 13 141 21 154 900 93 146 1771 0.00001 1 0.00001 13 24 10 12 107
20 17 13 189 22 155 1643 116 310 2460 0.00001 1 0.00001 13 30 10 20 134
21 24 13 261 22 156 2743 127 812 3477 0.00001 1 0.00001 13 53 10 25 167
22 "" 13 436 23 162 4607 150 1584 4886 0.00001 1 0.00001 14 90 11 35 199
23 Jun 13 639 23 164 6485 153 2924 5971 0.00001 1 0.00001 14 216 12 50 248
24 14 13 1161 23 171 8982 159 3941 8132 0.00001 2 0.00001 14 351 12 64 306
25 21 13 2163 23 174 12509 183 4980 11258 0.00001 5 0.00001 14 483 12 87 349
26 "" 13 3461 23 182 15828 230 5722 15994 0.00001 12 0.00001 14 672 12 98 471
27 Jul 13 4913 23 184 21293 256 6230 22116 0.00001 16 0.00001 16 880 14 110 605
28 12 13 5949 23 190 27619 290 6617 27053 0.00001 26 0.00001 14 1139 16 135 750
29 19 13 6655 23 195 33809 320 6975 31745 0.00001 37 0.00001 14 1443 19 146 857
30 "" 13 7332 23 203 44492 352 7260 37559 0.00001 41 0.00001 14 1699 20 156 1061
31 Aug 13 7857 24 265 50979 413 7424 42014 0.00001 43 0.00001 14 1957 20 161 1337
32 9 13 8267 24 290 56189 538 7599 46635 0.00001 48 0.00001 14 2197 22 177 1465
33 16 13 8588 24 446 62313 649 7831 49467 0.00001 53 0.00001 14 2355 22 196 1548
34 23 13 8797 24 771 67856 881 8050 53381 0.00001 55 0.00001 15 2580 30 196 1632
35 "" 13 9076 24 935 73679 1180 8174 58810 0.00001 58 0.00001 15 2728 35 201 1827
36 Sep 13 9322 24 1363 77481 1416 8326 63798 0.00001 62 0.00001 20 2845 44 212 1984
37 13 13 9521 24 3080 81658 1763 8457 66049 0.00001 63 0.00001 24 2949 52 216 2058
38 20 13 9692 24 3426 85152 2102 8600 70611 0.00001 65 0.00001 26 3105 62 221 2146
39 "" 13 9863 24 4954 89702 2709 8684 73840 0.00001 65 0.00001 42 3213 73 227 2271
40 Oct 13 10029 24 5903 93748 2968 8792 78269 0.00001 67 0.00001 75 3285 85 229 2386
41 11 13 10144 24 6483 97544 3358 8860 82552 0.00001 69 0.00001 77 3365 100 230 2492
42 18 13 10268 27 7122 101599 3734 8925 88435 0.00001 69 0.00001 111 3541 109 231 2568
43 "" 13 10385 28 7474 104894 4023 9026 93214 0.00001 69 0.00001 127 3651 119 232 2623
44 Nov 13 10536 28 7742 107939 4143 9054 96888 0.00001 70 0.00001 139 3729 124 232 2669
45 8 13 10704 30 7903 111050 4457 9127 99576 0.00001 70 0.00001 133 3811 133 232 2741
46 15 15 10844 32 8098 114719 4724 9168 102079 0.00001 70 0.00001 139 3920 138 232 2820
47 22 16 11014 41 8225 118417 5005 9214 104179 0.00001 70 0.00001 144 4074 143 232 2855
48 "" 17 11179 41 8344 121798 5310 9264 107134 0.00001 70 0.00001 149 4161 149 232 2899
49 Dec 17 11407 41 8427 125352 5601 9370 109960 0.00001 71 0.00001 149 4239 151 233 2941
50 13 19 11800 43 8451 129099 5839 9491 113708 0.00001 71 0.00001 152 4405 154 233 2971
51 20 23 12369 94 8557 132595 6076 9674 116212 0.00001 71 0.00001 155 4624 159 234 3023
52 "" 29 12773 116 8620 135171 6289 9846 118659 0.00001 71 0.00001 155 4763 162 235 3061
53 Jan 29 13273 134 8620 138316 6351 10077 122974 0.00001 71 0.00001 155 4827 164 236 3160
54 10 29 14113 135 8702 143127 6469 10241 126396 0.00001 74 1 155 4999 167 237 3266
55 17 32 14975 139 8834 148598 6805 10781 132412 0.00001 75 1 156 5220 170 240 3344
56 24 37 15664 147 9056 153890 7143 11099 139182 0.00001 76 1 157 5456 170 243 3439
57 "" 40 16083 148 9156 159118 7528 11533 146110 0.00001 76 1 157 5618 175 245 3575
58 Feb 44 16296 148 9156 162937 7887 11806 153253 0.00001 79 1 158 5854 179 246 3694
59 14 49 16456 148 9302 167071 8181 12143 159024 0.00001 80 1 159 6094 186 247 3848
60 21 49 16529 148 9455 170931 8357 12274 164077 0.00001 83 1 160 6249 189 247 3975
61 "" 51 16627 148 9968 174335 8513 12430 168911 0.00001 85 1 164 6374 195 250 4117
62 Mar 51 16693 151 10458 178337 8729 12536 173020 0.00001 87 1 168 6467 200 251 4247
63 14 51 16764 151 10725 182679 9069 12632 177168 0.00001 87 1 168 6563 206 250 4325
64 21 51 16764 154 11095 187659 9486 12714 181357 0.00001 87 1 169 6685 212 251 4422
65 "" 51 16922 155 11512 192133 10007 12736 186337 0.00001 89 1 173 6775 225 252 4536
66 Apr 52 17132 155 11890 195036 10446 12788 189726 0.00001 96 1 177 6875 235 252 4622
67 11 60 17549 157 12304 202640 10958 12840 194548 0.00001 94 1 189 7001 252 251 4766
68 18 62 18081 159 12927 212307 11642 12918 199682 0.00001 95 1 194 7190 267 251 4934
69 "" 63 18826 159 12927 221307 12448 12958 205696 0.00001 98 1 194 7395 277 251 5095
70 May 63 19543 161 14634 228477 13283 13094 212333 0.00001 101 1 228 7543 296 254 5281
71 9 63 20366 161 15429 234883 14037 13164 218330 0.00001 104 1 236 7717 314 263 5585
72 16 63 21465 161 15429 240170 14988 13393 225256 0.00001 108 1 236 7845 335 271 5937
73 23 63 22780 161 16517 247106 16014 13735 231560 0.00001 112 1 255 7996 355 280 6133
74 "" 63 23763 161 16874 253837 16724 14258 236451 0.00001 116 1 255 8121 380 307 6284
75 Jun 63 24725 161 17108 261392 17459 15282 241039 0.00001 121 1 260 8280 403 323 6454
76 13 63 25506 161 17288 269308 18088 16079 245695 0.00001 133 1 265 8416 419 346 6599
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas05.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas05.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Region_of_the_Americas by name [05]"
$data <<EOF
week day Jamaica Martinique Mexico Montserrat Nicaragua Panama Paraguay Peru Jamaica Martinique Mexico Montserrat Nicaragua Panama Paraguay Peru
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - - - - - - - - - - - - - -
8 23 - - - - - - - - - - - - - - - -
9 Mar - - 2 - - - - - - - 0.00001 - - - - -
10 8 - 2 7 - - - - 6 - 0.00001 0.00001 - - - - 0.00001
11 15 8 10 41 - - 27 6 43 0.00001 0.00001 0.00001 - - 1 0.00001 0.00001
12 22 16 32 164 1 2 137 18 318 1 0.00001 1 0.00001 0.00001 1 1 2
13 "" 30 93 717 5 4 786 56 635 1 1 12 0.00001 1 14 3 11
14 Apr 53 145 1688 6 5 1673 96 1595 3 3 60 0.00001 1 41 3 61
15 12 65 155 3844 9 7 2974 133 5897 4 6 233 0.00001 1 74 6 169
16 19 163 163 6875 11 9 4210 202 13489 5 12 546 0.00001 1 115 8 300
17 "" 288 170 12872 11 11 5338 223 21648 7 14 1221 1 3 154 9 634
18 May 432 180 20739 11 14 6720 333 40459 8 14 1972 1 4 192 10 1124
19 10 490 186 31522 11 16 8070 689 61847 9 14 3160 1 5 231 10 1714
20 17 511 192 45032 11 25 9268 778 84495 9 14 4767 1 8 266 11 2392
21 24 544 197 62527 11 279 10267 850 111698 9 14 6989 1 17 295 11 3244
22 "" 575 200 84627 11 885 12531 964 148285 9 14 9415 1 35 326 11 4230
23 Jun 595 202 110026 11 1309 15463 1090 187400 10 14 13170 1 46 370 11 5162
24 14 614 202 139196 11 1655 19211 1261 220749 10 14 16448 1 55 421 11 6308
25 21 652 236 170485 11 2014 24274 1362 247925 10 14 20394 1 64 485 13 7660
26 "" 686 242 208392 11 2014 29905 1711 272364 10 14 25779 1 74 575 13 8939
27 Jul 721 249 245251 11 2182 35995 2385 295599 10 14 29843 1 83 698 20 10226
28 12 753 255 289174 12 2411 43257 2736 319646 10 15 34191 1 91 863 20 11500
29 19 768 262 331298 12 2712 51408 3457 345537 10 15 38310 1 99 1038 28 12799
30 "" 831 269 378285 12 3004 57993 4224 375961 10 15 42645 1 108 1250 38 17843
31 Aug 878 269 424637 13 3080 65256 5338 407492 10 15 46688 1 116 1421 49 19021
32 9 987 336 469407 13 3266 72560 6508 463875 12 16 51311 1 123 1591 69 20649
33 16 1082 336 511369 13 3413 79402 9022 516296 14 16 55908 1 128 1734 108 25856
34 23 1346 464 549734 13 3540 84392 12536 576067 16 16 59610 1 133 1859 182 27245
35 "" 2011 596 585738 13 3659 90624 15874 629961 19 16 63146 1 137 1966 280 28471
36 Sep 2964 754 623090 13 3773 95596 20654 676848 30 18 66851 1 141 2063 398 29554
37 13 3511 939 658299 13 3877 100330 26512 716670 40 18 70183 1 144 2140 496 30470
38 20 4758 1122 688954 13 3979 104879 32127 756412 60 18 72803 1 147 2229 611 31283
39 "" 5854 1298 720858 13 4065 109431 37226 794584 88 20 75844 1 149 2311 761 32037
40 Oct 6795 1543 753090 13 4146 113962 42684 821564 119 21 78492 1 151 2406 890 32609
41 11 7559 1851 809751 13 4225 118841 48275 843355 138 22 83507 1 153 2474 1045 33158
42 18 8321 2266 851227 13 4297 124745 54724 868675 173 25 86167 1 154 2564 1188 33759
43 "" 8749 2800 891160 13 4362 129200 59594 888715 192 27 88924 1 155 2633 1309 34149
44 Nov 9094 3818 918811 13 4424 132867 62596 900180 206 31 91289 1 156 2688 1387 34411
45 8 9472 4215 955128 13 4480 137760 66481 917503 218 33 94323 1 157 2770 1472 34783
46 15 9780 4732 997393 13 4533 144477 70392 932650 229 37 97624 1 158 2856 1556 35106
47 22 10240 5091 1025969 13 4583 152289 75058 946087 237 39 100823 1 159 2932 1647 35484
48 "" 10669 5413 1090675 13 4629 161744 80436 958324 251 40 104873 1 160 3030 1720 35839
49 Dec 11063 5520 1156770 13 4671 173607 86499 970860 261 41 108863 1 161 3154 1813 36195
50 13 11608 5553 1229379 13 4709 187779 92113 980943 271 41 113019 1 162 3309 1927 36544
51 20 12135 5634 1301546 13 4748 206310 98296 993760 285 42 117249 1 163 3504 2050 36969
52 "" 12684 6072 1372243 13 4790 226660 103888 1005546 294 42 121837 1 164 3756 2154 37368
53 Jan 12931 6091 1437185 13 4829 249733 108349 1017199 303 43 126507 1 165 4064 2262 37724
54 10 13455 6117 1507931 13 4867 273037 113994 1029471 311 43 132069 1 166 4363 2372 38145
55 17 14096 6227 1609735 13 4916 293592 120789 1056023 323 43 139022 1 167 4689 2479 38654
56 24 14772 6370 1732290 13 4953 307793 126370 1088096 336 44 147614 1 168 4980 2585 39427
57 "" 15527 6370 1841893 13 4992 318253 131886 1125875 348 44 156579 1 169 5221 2693 40686
58 Feb 16841 6442 1912871 15 5027 325487 136890 1173045 357 45 164290 1 170 5426 2791 41933
59 14 18830 6521 1978954 19 5064 330985 142598 1220748 372 45 172557 1 171 5595 2904 43255
60 21 20924 6593 2030491 20 5106 335339 149684 1269523 391 45 178965 1 172 5711 3026 44690
61 "" 22817 6746 2076882 20 5142 339781 157603 1316363 417 45 184474 1 173 5820 3152 46094
62 Mar 25303 6886 2119305 20 5176 343743 165811 1358294 446 47 189578 1 174 5907 3278 47491
63 14 29912 7037 2157771 20 5216 347226 177593 1402610 484 47 193851 1 175 5981 3436 48664
64 21 34665 7264 2187910 20 5251 350220 190499 1451645 524 47 197219 1 176 6035 3662 49897
65 "" 37747 7679 2219845 20 5288 353017 204704 1512384 556 50 200862 1 177 6087 3958 51032
66 Apr 40449 8163 2247357 20 5326 355850 217886 1568345 613 54 203854 1 178 6126 4294 52331
67 11 42119 8887 2272064 20 5366 358098 232142 1628519 669 59 207020 1 179 6156 4698 54285
68 18 43684 9758 2299939 20 5407 360249 246806 1689051 721 66 211693 1 180 6185 5177 56454
69 "" 44867 9758 2323430 20 5450 362358 263134 1745655 756 66 214504 1 181 6200 5715 59012
70 May 45777 11139 2344755 20 5498 364576 279077 1799445 779 79 216907 1 182 6232 6385 61477
71 9 46588 11490 2361874 20 5575 366762 294233 1839465 803 87 218657 1 183 6258 6974 63519
72 16 47233 11490 2377995 20 5649 370043 309638 1879049 843 87 220159 1 184 6292 7482 65608
73 23 47899 11789 2392744 20 5731 373308 327229 1915566 912 93 221256 1 185 6321 8115 67569
74 "" 48374 11979 2408778 20 5833 376854 348184 1947555 942 95 223072 1 186 6365 8892 68978
75 Jun 48901 12060 2429631 20 5949 381122 368183 1976166 964 97 228568 1 187 6389 9609 185813
76 13 49232 12130 2448820 20 6085 386269 387687 1998056 996 99 229823 1 188 6427 10561 188100
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas06.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas06.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Region_of_the_Americas by name [06]"
$data <<EOF
week day Puerto_Rico Saba St_Barthelemy St_Eustatius St_Kitts_Nevis St_Lucia St_Maarten St_Martin Puerto_Rico Saba St_Barthelemy St_Eustatius St_Kitts_Nevis St_Lucia St_Maarten St_Martin
4 Jan - - - - - - - - - - - - - - - -
5 Feb - - - - - - - - - - - - - - - -
6 9 - - - - - - - - - - - - - - - -
7 16 - - - - - - - - - - - - - - - -
8 23 - - - - - - - - - - - - - - - -
9 Mar - - - - - - - - - - - - - - - -
10 8 - - 1 - - - - 2 - - 0.00001 - - - - 0.00001
11 15 3 - 1 - - - - 2 0.00001 - 0.00001 - - - - 0.00001
12 22 21 - 3 - - 2 1 4 1 - 0.00001 - - 0.00001 0.00001 0.00001
13 "" 64 - 5 - 2 3 3 6 2 - 0.00001 - 0.00001 0.00001 0.00001 0.00001
14 Apr 452 - 6 - 9 13 23 24 18 - 0.00001 - 0.00001 0.00001 2 2
15 12 788 - 6 - 12 15 50 33 42 - 0.00001 - 0.00001 0.00001 9 2
16 19 1118 - 6 - 14 15 57 37 60 - 0.00001 - 0.00001 0.00001 9 2
17 "" 1276 - 6 - 15 15 73 38 77 - 0.00001 - 0.00001 0.00001 12 3
18 May 1757 - 6 - 15 17 76 38 54 - 0.00001 - 0.00001 0.00001 13 3
19 10 2173 - 6 - 15 18 77 38 108 - 0.00001 - 0.00001 0.00001 15 3
20 17 2589 - 6 - 15 18 78 39 122 - 0.00001 - 0.00001 0.00001 15 3
21 24 3100 - 6 - 15 18 78 39 127 - 0.00001 - 0.00001 0.00001 15 3
22 "" 3718 - 6 - 15 18 78 41 133 - 0.00001 - 0.00001 0.00001 15 3
23 Jun 4915 - 6 - 15 19 77 41 142 - 0.00001 - 0.00001 0.00001 15 3
24 14 5690 - 6 - 15 19 77 41 146 - 0.00001 - 0.00001 0.00001 15 3
25 21 6463 - 6 - 15 19 77 42 147 - 0.00001 - 0.00001 0.00001 15 3
26 "" 7066 - 6 - 15 19 77 42 152 - 0.00001 - 0.00001 0.00001 15 3
27 Jul 7787 - 6 - 15 22 78 44 155 - 0.00001 - 0.00001 0.00001 15 3
28 12 9366 - 6 - 17 22 78 44 167 - 0.00001 - 0.00001 0.00001 15 3
29 19 11453 - 6 - 17 23 79 46 178 - 0.00001 - 0.00001 0.00001 15 3
30 "" 14540 - 7 - 17 24 94 49 201 - 0.00001 - 0.00001 0.00001 15 3
31 Aug 17872 - 8 - 17 25 128 53 225 - 0.00001 - 0.00001 0.00001 15 3
32 9 21424 - 9 - 17 25 176 53 274 - 0.00001 - 0.00001 0.00001 16 3
33 16 25695 - 13 - 17 25 263 109 329 - 0.00001 - 0.00001 0.00001 17 5
34 23 29577 - 16 - 17 26 353 176 381 - 0.00001 - 0.00001 0.00001 17 5
35 "" 32550 - 18 - 17 26 444 213 428 - 0.00001 - 0.00001 0.00001 17 5
36 Sep 34492 - 18 - 17 26 504 239 464 - 0.00001 - 0.00001 0.00001 19 6
37 13 37092 - 21 - 17 27 530 256 535 - 0.00001 - 0.00001 0.00001 19 6
38 20 40993 - 23 - 17 27 565 330 605 - 0.00001 - 0.00001 0.00001 19 6
39 "" 45413 - 48 - 19 27 618 383 642 - 0.00001 - 0.00001 0.00001 22 8
40 Oct 50375 - 62 - 19 27 668 412 681 - 0.00001 - 0.00001 0.00001 22 8
41 11 53364 - 65 - 19 29 699 466 728 - 0.00001 - 0.00001 0.00001 22 8
42 18 57950 - 72 - 19 36 753 531 768 - 0.00001 - 0.00001 0.00001 22 8
43 "" 63135 - 83 - 19 54 784 542 804 - 0.00001 - 0.00001 0.00001 22 8
44 Nov 66128 - 89 - 19 78 805 591 822 - 0.00001 - 0.00001 0.00001 22 9
45 8 37567 5 90 14 19 110 870 604 862 0.00001 0.00001 0.00001 0.00001 0.00001 22 12
46 15 41772 5 109 14 19 160 914 655 921 0.00001 0.00001 0.00001 0.00001 2 23 12
47 22 46434 5 127 14 19 203 973 690 1012 0.00001 0.00001 0.00001 0.00001 2 24 12
48 "" 51581 5 127 14 22 246 1041 690 1083 0.00001 0.00001 0.00001 0.00001 2 25 12
49 Dec 55532 5 152 14 22 265 1105 744 1185 0.00001 0.00001 0.00001 0.00001 2 25 12
50 13 61723 5 164 18 27 274 1201 838 1266 0.00001 0.00001 0.00001 0.00001 4 26 12
51 20 67211 5 182 18 30 280 1294 948 1342 0.00001 0.00001 0.00001 0.00001 5 26 12
52 "" 72443 - 189 - 30 305 1370 986 1432 - 0.00001 - 0.00001 5 26 12
53 Jan 77932 - 190 - 33 353 1434 995 1526 - 0.00001 - 0.00001 5 27 12
54 10 82630 5 191 19 34 395 1531 1002 1616 0.00001 0.00001 0.00001 0.00001 5 27 12
55 17 86523 5 224 19 34 576 1629 1046 1703 0.00001 0.00001 0.00001 0.00001 6 27 12
56 24 90073 6 376 20 35 770 1708 1191 1771 0.00001 0.00001 0.00001 0.00001 10 27 12
57 "" 93406 6 379 20 37 1195 1822 1289 1823 0.00001 0.00001 0.00001 0.00001 13 27 12
58 Feb 95355 6 379 20 40 1813 1911 1289 1872 0.00001 0.00001 0.00001 0.00001 18 27 12
59 14 97313 6 425 20 40 2487 1985 1377 1915 0.00001 0.00001 0.00001 0.00001 23 27 12
60 21 98835 6 475 20 41 2860 2027 1456 1957 0.00001 0.00001 0.00001 0.00001 28 27 12
61 "" 100044 6 612 20 41 3356 2051 1554 2032 0.00001 0.00001 0.00001 0.00001 35 27 12
62 Mar 101327 6 671 20 41 3843 2066 1581 2059 0.00001 0.00001 0.00001 0.00001 43 27 12
63 14 102567 6 725 20 43 3989 2078 1612 2077 0.00001 1 0.00001 0.00001 48 27 12
64 21 103891 6 776 20 44 4113 2093 1633 2092 0.00001 1 0.00001 0.00001 55 27 12
65 "" 105625 6 857 20 44 4191 2118 1657 2109 0.00001 1 0.00001 0.00001 58 27 12
66 Apr 108861 - 910 - 44 4273 2151 1687 2126 - 1 - 0.00001 61 27 13
67 11 113200 6 928 20 44 4329 2174 1703 2152 0.00001 1 0.00001 0.00001 64 27 13
68 18 120571 6 954 20 44 4398 2202 1710 2194 0.00001 1 0.00001 0.00001 65 27 13
69 "" 127450 6 954 20 44 4463 2212 1710 2263 0.00001 1 0.00001 0.00001 70 27 13
70 May 131956 6 988 20 45 4552 2230 1749 2310 0.00001 1 0.00001 0.00001 74 27 14
71 9 134888 7 994 20 45 4654 2250 1777 2367 0.00001 1 0.00001 0.00001 75 27 14
72 16 136426 7 994 20 45 4788 2272 1777 2431 0.00001 1 0.00001 0.00001 75 27 14
73 23 137610 7 1016 20 46 4935 2346 1895 2471 0.00001 1 0.00001 0.00001 77 27 15
74 "" 138485 7 1023 20 68 5035 2404 2009 2499 0.00001 1 0.00001 0.00001 77 28 15
75 Jun 138949 7 1029 20 78 5108 2448 2113 2516 0.00001 1 0.00001 0.00001 80 28 22
76 13 139323 7 1032 20 119 5168 2511 2228 2530 0.00001 1 0.00001 0.00001 80 31 25
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas07.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas07.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Region_of_the_Americas by name [07]"
$data <<EOF
week day St_Pierre_Miquelon St_Vincent_Grenadines Suriname Trinidad_Tobago Turks_Caicos_Is USA US_Virgin_Is Uruguay St_Pierre_Miquelon St_Vincent_Grenadines Suriname Trinidad_Tobago Turks_Caicos_Is USA US_Virgin_Is Uruguay
4 Jan - - - - - 2 - - - - - - - - - -
5 Feb - - - - - 8 - - - - - - - - - -
6 9 - - - - - 12 - - - - - - - 0.00001 - -
7 16 - - - - - 15 - - - - - - - 0.00001 - -
8 23 - - - - - 35 - - - - - - - 0.00001 - -
9 Mar - - - - - 62 - - - - - - - 0.00001 - -
10 8 - - - - - 213 - - - - - - - 11 - -
11 15 - 1 - 1 - 1678 - - - 0.00001 - 0.00001 - 41 - -
12 22 - 1 2 9 - 15219 6 94 - 0.00001 0.00001 0.00001 - 201 0.00001 0.00001
13 "" - 1 8 74 2 103321 17 274 - 0.00001 0.00001 2 0.00001 1668 0.00001 0.00001
14 Apr - 3 10 100 5 273808 40 386 - 0.00001 0.00001 6 0.00001 7020 0.00001 4
15 12 1 12 10 109 8 492881 53 494 0.00001 0.00001 1 8 1 18516 1 7
16 19 1 12 10 114 11 695353 53 508 0.00001 0.00001 1 8 1 32427 3 9
17 "" 1 14 10 115 11 899281 55 563 0.00001 0.00001 1 8 1 46204 3 12
18 May 1 16 10 116 12 1093880 66 648 0.00001 0.00001 1 8 1 62406 4 17
19 10 1 17 10 116 12 1245775 68 694 0.00001 0.00001 1 8 1 75364 4 17
20 17 1 17 10 116 12 1409452 69 732 0.00001 0.00001 1 8 1 85860 6 19
21 24 1 18 11 116 12 1568448 69 753 0.00001 0.00001 1 8 1 94011 6 20
22 "" 1 25 12 116 12 1716078 69 816 0.00001 0.00001 1 8 1 101567 6 22
23 Jun 1 26 90 117 12 1886794 71 834 0.00001 0.00001 1 8 1 109038 6 23
24 14 1 27 187 117 12 2032524 72 847 0.00001 0.00001 3 8 1 114466 6 23
25 21 1 29 293 123 12 2208829 74 853 0.00001 0.00001 8 8 1 118895 6 24
26 "" 1 29 391 124 16 2452048 81 919 0.00001 0.00001 10 8 1 124811 6 26
27 Jul 1 29 565 130 45 2776366 111 952 0.00001 0.00001 14 8 2 129226 6 28
28 12 2 29 729 133 66 3163581 167 985 0.00001 0.00001 18 8 2 133486 6 29
29 19 4 35 943 136 75 3544143 283 1037 0.00001 0.00001 19 8 2 137674 6 32
30 "" 4 52 1305 147 92 4009808 352 1166 0.00001 0.00001 23 8 2 143663 7 34
31 Aug 4 54 1706 173 114 4523888 421 1265 0.00001 0.00001 26 8 2 152630 8 35
32 9 4 56 2203 225 170 4897958 528 1325 0.00001 0.00001 29 8 2 159930 9 37
33 16 4 57 2838 474 274 5258565 734 1421 0.00001 0.00001 41 10 2 167201 9 38
34 23 5 58 3460 899 347 5567217 932 1516 0.00001 0.00001 56 13 2 174246 10 42
35 "" 5 60 3848 1577 490 5855521 1118 1556 0.00001 0.00001 66 19 3 180689 14 43
36 Sep 6 61 4252 2142 591 6144138 1167 1653 0.00001 0.00001 75 32 5 186663 16 45
37 13 11 64 4529 2892 641 6386832 1211 1773 0.00001 0.00001 93 50 5 191809 19 45
38 20 11 64 4691 3739 667 6662003 1242 1890 0.00001 0.00001 96 60 5 197442 19 46
39 "" 16 64 4817 4285 680 6960152 1296 1967 0.00001 0.00001 102 70 5 202478 19 47
40 Oct 16 64 4899 4709 695 7256234 1326 2097 0.00001 0.00001 105 78 6 207366 20 48
41 11 16 64 5018 5043 695 7583748 1324 2251 0.00001 0.00001 106 90 6 212229 20 49
42 18 16 67 5130 5297 698 8065615 1335 2531 0.00001 0.00001 109 96 6 218131 21 51
43 "" 16 73 5170 5511 701 8548111 1348 2851 0.00001 0.00001 109 105 6 223699 21 53
44 Nov 16 74 5201 5668 703 8952086 1376 3082 0.00001 0.00001 111 107 6 228185 21 58
45 8 14 76 5227 5798 707 9636579 1390 3370 0.00001 0.00001 112 111 6 234500 23 61
46 15 14 78 5268 5980 716 10641431 1434 3883 0.00001 0.00001 114 111 6 242542 23 64
47 22 14 84 5289 6261 726 11789012 1491 4477 0.00001 0.00001 116 113 6 252460 23 69
48 "" 14 85 5311 6586 748 12939666 1538 5303 0.00001 0.00001 117 118 6 262736 23 74
49 Dec 14 87 5322 6735 755 14191298 1633 6731 0.00001 0.00001 117 121 6 276503 23 80
50 13 14 94 5339 6852 769 15648098 1791 8849 0.00001 0.00001 117 122 6 293129 23 90
51 20 14 100 5459 6955 789 17314834 1910 11950 0.00001 0.00001 117 123 6 311150 23 109
52 "" 16 108 5880 7097 844 18648989 1979 15848 0.00001 0.00001 119 125 6 328014 23 143
53 Jan 16 122 6277 7158 908 19974413 2036 19753 0.00001 0.00001 123 127 6 345253 23 193
54 10 16 204 6854 7219 965 21761186 2143 24339 0.00001 0.00001 131 127 6 365886 24 240
55 17 16 450 7409 7343 1079 23344423 2252 30946 0.00001 1 139 130 6 389084 24 291
56 24 20 720 7945 7456 1244 24604325 2335 36170 0.00001 2 148 133 7 410667 24 364
57 "" 24 896 8364 7533 1459 25676612 2398 40529 0.00001 2 154 134 8 433173 24 425
58 Feb 24 1170 8619 7607 1654 26547977 2449 44303 0.00001 3 158 135 9 455735 24 478
59 14 24 1418 8778 7637 1833 27221607 2524 47828 0.00001 6 166 137 12 477147 25 527
60 21 24 1498 8854 7666 1998 27702074 2575 51377 0.00001 6 168 139 14 491894 25 563
61 "" 24 1556 8913 7704 2099 28174978 2646 56542 0.00001 8 170 139 14 506760 25 601
62 Mar 24 1658 8966 7729 2172 28602211 2714 61929 0.00001 8 175 139 14 519075 25 637
63 14 24 1680 9012 7769 2200 29063401 2767 69074 0.00001 8 176 140 15 528456 25 689
64 21 24 1694 9055 7821 2290 29437770 2814 78401 0.00001 9 176 140 15 536008 25 760
65 "" 24 1721 9088 7939 2325 29859706 2901 92343 0.00001 10 177 141 17 543003 26 875
66 Apr 24 1755 9137 8116 2344 30304462 2931 111568 0.00001 10 177 145 17 550539 26 1041
67 11 25 1790 9265 8323 2344 30772857 2971 137946 0.00001 10 178 145 17 555712 26 1363
68 18 25 1819 9496 8742 2369 31250635 3028 159569 0.00001 10 187 150 17 560858 26 1788
69 "" 25 1830 9932 9487 2376 31656636 3080 179537 0.00001 10 193 157 17 565809 27 2227
70 May 25 1864 10363 10824 2390 32002328 3125 198428 0.00001 11 204 169 17 570537 27 2616
71 9 25 1912 10933 12720 2402 32337112 3210 216146 0.00001 12 214 196 17 575477 27 3032
72 16 25 1932 11707 15379 2404 32574504 3267 235206 0.00001 12 223 265 17 579664 27 3369
73 23 25 1973 12742 18935 2408 32762914 3308 258540 0.00001 12 243 348 17 583696 27 3760
74 "" 25 2027 14305 22620 2412 32916501 3442 282198 0.00001 12 282 458 17 588292 27 4118
75 Jun 25 2068 16009 25801 2420 33015604 3560 308490 0.00001 12 332 556 17 591276 28 4516
76 13 25 2101 17799 28106 2421 33120623 3690 333484 0.00001 12 390 644 18 594272 28 4906
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas08.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Region_of_the_Americas08.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Region_of_the_Americas by name [08]"
$data <<EOF
week day Venezuela Venezuela
4 Jan - -
5 Feb - -
6 9 - -
7 16 - -
8 23 - -
9 Mar - -
10 8 - -
11 15 2 0.00001
12 22 36 0.00001
13 "" 113 2
14 Apr 144 3
15 12 171 9
16 19 204 9
17 "" 318 10
18 May 345 10
19 10 388 10
20 17 504 10
21 24 944 10
22 "" 1370 14
23 Jun 2145 20
24 14 2879 23
25 21 3591 30
26 "" 4779 41
27 Jul 6537 59
28 12 8803 83
29 19 11191 107
30 "" 14263 134
31 Aug 18574 164
32 9 24166 208
33 16 31381 266
34 23 38188 317
35 "" 43879 358
36 Sep 50973 412
37 13 58663 468
38 20 65174 530
39 "" 71273 591
40 Oct 76820 643
41 11 81696 684
42 18 86636 736
43 "" 89565 773
44 Nov 91589 793
45 8 94305 821
46 15 96441 844
47 22 99017 866
48 "" 101524 888
49 Dec 103877 913
50 13 106715 944
51 20 109395 979
52 "" 111603 1010
53 Jan 113562 1028
54 10 115667 1056
55 17 118856 1095
56 24 122795 1136
57 "" 125776 1177
58 Feb 129231 1223
59 14 132259 1267
60 21 135114 1308
61 "" 138295 1338
62 Mar 141356 1371
63 14 144786 1422
64 21 149145 1475
65 "" 154905 1543
66 Apr 162730 1629
67 11 172461 1739
68 18 180609 1870
69 "" 189381 2009
70 May 197683 2136
71 9 205181 2263
72 16 212998 2366
73 23 221042 2483
74 "" 230147 2595
75 Jun 239252 2698
76 13 248820 2797
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
# plot field 'deaths'
replot $data using 0:4 with lines lc 8 lw 2 title at 0.135, 0.763
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
South East Asia Region
edit- File:WHO Covid rn confirmed,deaths South East Asia Region01.pdf: Bangladesh * Bhutan * India * Indonesia * Maldives * Myanmar * Nepal * Sri_Lanka
- File:WHO Covid rn confirmed,deaths South East Asia Region02.pdf: Thailand * Timor_Leste
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_South_East_Asia_Region01.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_South_East_Asia_Region01.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths South_East_Asia_Region by name [01]"
$data <<EOF
week day Bangladesh Bhutan India Indonesia Maldives Myanmar Nepal Sri_Lanka Bangladesh Bhutan India Indonesia Maldives Myanmar Nepal Sri_Lanka
4 Jan - - - - - - 1 - - - - - - - - -
5 Feb - - 2 - - - 1 1 - - - - - - - -
6 9 - - 3 - - - 1 1 - - 0.00001 - - - 0.00001 0.00001
7 16 - - 3 - - - 1 1 - - 0.00001 - - - 0.00001 0.00001
8 23 - - 3 - - - 1 1 - - 0.00001 - - - 0.00001 0.00001
9 Mar - - 3 - - - 1 1 - - 0.00001 - - - 0.00001 0.00001
10 8 - 1 34 4 2 - 1 1 - 0.00001 0.00001 0.00001 0.00001 - 0.00001 0.00001
11 15 3 1 107 117 10 - 1 11 0.00001 0.00001 2 4 0.00001 - 0.00001 0.00001
12 22 24 2 283 450 13 - 1 72 2 0.00001 4 38 0.00001 - 0.00001 0.00001
13 "" 48 3 979 1155 16 8 5 106 5 0.00001 25 102 0.00001 0.00001 0.00001 0.00001
14 Apr 70 5 3374 2092 19 20 9 159 8 0.00001 77 191 0.00001 1 0.00001 5
15 12 621 5 8356 4241 19 38 9 199 34 0.00001 273 373 0.00001 3 0.00001 7
16 19 2144 5 15712 6248 34 107 31 254 84 0.00001 507 535 0.00001 5 0.00001 7
17 "" 4998 7 26496 8607 137 146 49 460 140 0.00001 824 720 0.00001 5 0.00001 7
18 May 8790 7 39980 10843 519 151 59 705 175 0.00001 1301 831 1 6 0.00001 7
19 10 13770 7 62939 13645 785 178 110 847 214 0.00001 2109 959 3 6 0.00001 9
20 17 20995 21 90927 17025 1078 182 291 960 314 0.00001 2872 1089 4 6 1 9
21 24 32078 24 131868 21745 1313 201 584 1089 452 0.00001 3867 1351 4 6 3 9
22 "" 44608 33 182143 25773 1672 224 1401 1620 610 0.00001 5164 1573 5 6 6 10
23 Jun 63026 48 246628 30514 1901 240 3235 1814 846 0.00001 6929 1801 8 6 13 11
24 14 84379 66 320922 37420 2013 261 5335 1884 1139 0.00001 9195 2091 8 6 18 11
25 21 108775 68 410461 45029 2187 286 8605 1950 1425 0.00001 13254 2429 8 6 22 11
26 "" 133978 76 528859 52812 2305 296 12309 2033 1695 0.00001 16095 2720 8 6 28 11
27 Jul 159679 78 673165 62142 2435 313 15491 2074 1997 0.00001 19268 3089 10 6 34 11
28 12 181129 82 849553 74018 2664 330 16719 2511 2305 0.00001 22674 3535 13 6 38 11
29 19 202066 87 1077618 84882 2930 341 17502 2708 2581 0.00001 26816 4016 15 6 40 11
30 "" 221178 93 1385522 97286 3252 349 18483 2770 2874 0.00001 32063 4714 15 6 45 11
31 Aug 239860 102 1750723 109936 3949 353 20086 2815 3132 0.00001 37364 5193 17 6 56 11
32 9 255113 108 2153010 123503 4898 359 22592 2841 3365 0.00001 43379 5658 19 6 73 11
33 16 274525 133 2589682 137468 5679 374 26019 2886 3625 0.00001 49980 6071 22 6 102 11
34 23 292625 155 3044940 151498 6660 444 31117 2947 3907 0.00001 56706 6594 26 6 146 12
35 "" 308925 195 3542733 169195 7578 749 37340 2995 4206 0.00001 63498 7261 28 6 207 12
36 Sep 323565 228 4113811 190665 8486 1319 45277 3121 4447 0.00001 70626 7940 29 8 280 12
37 13 336044 244 4754356 214746 9052 2796 53120 3204 4702 0.00001 78586 8650 31 16 336 12
38 20 347372 259 5400619 240687 9649 5263 62797 3283 4913 0.00001 86752 9448 33 81 401 13
39 "" 357873 271 5992532 271339 10045 9991 71821 3349 5129 0.00001 94503 10308 34 198 467 13
40 Oct 367565 283 6549373 299506 10465 16503 84570 3395 5325 0.00001 101782 11055 34 371 528 13
41 11 377073 306 7053806 328952 10859 26064 105684 4628 5500 0.00001 108334 11765 34 598 614 13
42 18 390206 330 7597063 365240 11232 37205 136036 5625 5681 0.00001 115197 12617 37 914 757 13
43 "" 400251 342 7946429 392934 11532 46200 159830 8413 5818 0.00001 119502 13411 37 1122 862 16
44 Nov 407684 349 8184082 410088 11659 52706 170743 10663 5923 0.00001 122111 13869 38 1237 937 20
45 8 418764 359 8507754 433836 11962 60348 191636 13419 6049 0.00001 126121 14540 39 1396 1087 34
46 15 430496 375 8814579 463007 12154 66734 208299 16191 6173 0.00001 129635 15148 42 1534 1215 53
47 22 445281 379 9095806 493308 12578 77848 218639 19771 6350 0.00001 133227 15774 45 1722 1305 83
48 "" 460619 396 9392919 527999 12947 86633 230723 22501 6580 0.00001 136696 16646 46 1865 1454 107
49 Dec 475879 426 9644222 569707 13159 96520 239885 27228 6807 0.00001 140182 17589 47 2059 1577 137
50 13 489178 437 9857029 611631 13348 105863 247593 32135 7020 0.00001 143019 18653 48 2220 1689 149
51 20 499560 446 10031223 657948 13474 114198 253184 36049 7242 0.00001 145477 19659 48 2398 1777 165
52 "" 508099 597 10187850 706837 13618 121280 257700 40380 7428 0.00001 147622 20994 48 2579 1819 187
53 Jan 515184 710 10323965 758473 13834 125616 261438 44371 7599 0.00001 149435 22555 48 2711 1870 211
54 10 521382 810 10450284 818386 14065 130049 264521 47840 7756 1 150999 23947 49 2826 1912 229
55 17 527063 842 10557985 896642 14462 133869 267056 52313 7883 1 152274 25767 49 2942 1954 256
56 24 531326 854 10654533 977474 14885 137098 269180 57587 8003 1 153339 27664 50 3045 1994 280
57 "" 534770 858 10746183 1066313 15736 139864 270854 63293 8111 1 154274 29728 51 3125 2027 313
58 Feb 537770 861 10826363 1147010 16656 141304 271806 68576 8190 1 154996 31393 54 3168 2035 351
59 14 540266 863 10904940 1210703 17716 141585 272614 74852 8266 1 155642 32936 56 3188 2054 384
60 21 543024 866 10991651 1271353 18612 141735 273351 79480 8342 1 156302 34316 60 3196 2061 435
61 "" 545831 867 11096731 1329074 19597 141890 274065 82890 8400 1 157051 35981 61 3199 2773 464
62 Mar 549724 868 11210799 1373836 20663 142023 274655 85336 8451 1 157756 37154 64 3200 3010 493
63 14 556236 868 11359048 1414741 21476 142136 275178 87600 8527 1 158607 38329 64 3201 3014 526
64 21 568706 868 11599130 1455788 22373 142212 275829 89846 8668 1 159755 39447 65 3204 3016 544
65 "" 591806 871 11971624 1492002 23403 142377 276750 91839 8869 1 161552 40364 66 3206 3027 558
66 Apr 630277 891 12485509 1527524 24651 142479 277768 93295 9213 1 164623 41242 67 3206 3032 575
67 11 678937 910 13358805 1562868 25524 142576 279725 94848 9661 1 169275 42443 67 3206 3039 595
68 18 715252 952 14788109 1599763 26145 142628 283658 96439 10283 1 177150 43328 69 3206 3075 617
69 "" 742400 1018 16960172 1636792 27621 142704 297087 100586 10952 1 192311 44500 71 3206 3136 638
70 May 760584 1106 19557457 1672880 30237 142831 328893 109862 11510 1 215542 45652 73 3209 3298 687
71 9 772127 1202 22296414 1709762 34724 142947 385890 123234 11878 1 242362 46842 83 3210 3632 786
72 16 779796 1279 24684077 1736670 43782 143059 447704 140471 12124 1 270284 47967 96 3212 4856 941
73 23 787726 1392 26530132 1769940 54365 143228 505643 161242 12348 1 299266 49205 123 3216 6153 1178
74 "" 797386 1603 27894800 1809926 62906 143526 553422 180593 12549 1 325972 50262 158 3216 7163 1405
75 Jun 809314 1682 28809339 1850206 67538 144253 585100 202357 12801 1 346759 51449 182 3223 7799 1656
76 13 826922 1813 29439989 1911358 70301 145603 608472 223638 13118 1 370384 52879 197 3244 8412 2136
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_South_East_Asia_Region02.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_South_East_Asia_Region02.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths South_East_Asia_Region by name [02]"
$data <<EOF
week day Thailand Timor_Leste Thailand Timor_Leste
4 Jan 5 - - -
5 Feb 19 - - -
6 9 32 - 0.00001 -
7 16 34 - 0.00001 -
8 23 35 - 0.00001 -
9 Mar 42 - 0.00001 -
10 8 50 - 1 -
11 15 75 - 1 -
12 22 411 1 1 0.00001
13 "" 1388 1 7 0.00001
14 Apr 2067 1 20 0.00001
15 12 2551 2 38 0.00001
16 19 2765 19 47 0.00001
17 "" 2922 24 51 0.00001
18 May 2969 24 54 0.00001
19 10 3009 24 56 0.00001
20 17 3028 24 56 0.00001
21 24 3040 24 56 0.00001
22 "" 3081 24 57 0.00001
23 Jun 3112 24 58 0.00001
24 14 3135 24 58 0.00001
25 21 3148 24 58 0.00001
26 "" 3162 24 58 0.00001
27 Jul 3190 24 58 0.00001
28 12 3217 24 58 0.00001
29 19 3249 24 58 0.00001
30 "" 3291 24 58 0.00001
31 Aug 3317 24 58 0.00001
32 9 3351 25 58 0.00001
33 16 3377 25 58 0.00001
34 23 3395 26 58 0.00001
35 "" 3411 27 58 0.00001
36 Sep 3444 27 58 0.00001
37 13 3473 27 58 0.00001
38 20 3506 27 59 0.00001
39 "" 3523 27 59 0.00001
40 Oct 3585 28 59 0.00001
41 11 3636 28 59 0.00001
42 18 3700 29 59 0.00001
43 "" 3746 30 59 0.00001
44 Nov 3784 30 59 0.00001
45 8 3837 30 60 0.00001
46 15 3866 30 60 0.00001
47 22 3913 30 60 0.00001
48 "" 3966 30 60 0.00001
49 Dec 4072 31 60 0.00001
50 13 4192 31 60 0.00001
51 20 4331 31 60 0.00001
52 "" 6020 41 60 0.00001
53 Jan 7379 44 64 0.00001
54 10 10298 49 67 0.00001
55 17 12054 52 70 0.00001
56 24 13500 67 73 0.00001
57 "" 18782 70 77 0.00001
58 Feb 23371 80 79 0.00001
59 14 24571 101 80 0.00001
60 21 25415 103 83 0.00001
61 "" 25951 113 83 0.00001
62 Mar 26370 120 85 0.00001
63 14 26927 178 86 0.00001
64 21 27803 271 90 0.00001
65 "" 28734 480 94 0.00001
66 Apr 29127 714 95 0.00001
67 11 32625 1008 97 1
68 18 42352 1236 101 2
69 "" 55460 1808 140 3
70 May 68984 2396 245 3
71 9 83375 2965 399 4
72 16 101447 4279 589 8
73 23 129500 5481 776 11
74 "" 154307 6752 1012 16
75 Jun 177467 7659 1236 17
76 13 195909 8285 1449 18
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
# plot field 'deaths'
replot $data using 0:5 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:6 with lines lc 1 lw 2 title at 0.135, 0.745
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Western Pacific Region
edit- File:WHO Covid rn confirmed,deaths Western Pacific Region01.pdf: Australia * Brunei_Darussalam * Cambodia * China * Fiji * Fr_Polynesia * Guam * Japan
- File:WHO Covid rn confirmed,deaths Western Pacific Region02.pdf: Lao_PDR * Marshall_Is * Malaysia * Mongolia * N_Mariana_Is * New_Caledonia * New_Zealand
- File:WHO Covid rn confirmed,deaths Western Pacific Region03.pdf: Papua_New_Guinea * Philippines * R_Korea * Singapore * Solomon_Is * Vanuatu * Vietnam
- File:WHO Covid rn confirmed,deaths Western Pacific Region04.pdf: Wallis_Futuna
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Western_Pacific_Region01.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Western_Pacific_Region01.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Western_Pacific_Region by name [01]"
$data <<EOF
week day Australia Brunei_Darussalam Cambodia China Fiji Fr_Polynesia Guam Japan Australia Brunei_Darussalam Cambodia China Fiji Fr_Polynesia Guam Japan
4 Jan 4 - - 1985 - - - 3 - - - - - - - -
5 Feb 12 - 1 14411 - - - 20 - - - - - - - -
6 9 15 - 1 37251 - - - 26 0.00001 - 0.00001 812 - - - 0.00001
7 16 15 - 1 68584 - - - 53 0.00001 - 0.00001 1666 - - - 1
8 23 22 - 1 77042 - - - 132 0.00001 - 0.00001 2445 - - - 1
9 Mar 25 - 1 79968 - - - 239 0.00001 - 0.00001 2873 - - - 5
10 8 74 - 2 80859 - - - 455 3 - 0.00001 3100 - - - 6
11 15 249 40 7 81048 - 3 - 780 3 0.00001 0.00001 3204 - 0.00001 - 22
12 22 1081 83 53 81498 2 15 15 1046 7 0.00001 0.00001 3267 0.00001 0.00001 0.00001 36
13 "" 3966 120 102 82341 5 34 56 1693 16 1 0.00001 3306 0.00001 0.00001 1 52
14 Apr 5635 135 114 82930 12 40 93 3271 34 1 0.00001 3338 0.00001 0.00001 4 70
15 12 6289 136 122 83482 16 51 133 6748 57 1 0.00001 3349 0.00001 0.00001 5 98
16 19 6586 137 122 84201 17 55 136 10361 69 1 0.00001 4642 0.00001 0.00001 5 161
17 "" 6703 138 122 84338 18 57 137 13182 81 1 0.00001 4642 0.00001 0.00001 5 348
18 May 6783 138 122 84393 18 58 144 14839 93 1 0.00001 4643 0.00001 0.00001 5 492
19 10 6929 141 122 84430 18 60 147 15747 97 1 0.00001 4643 0.00001 0.00001 5 613
20 17 7036 141 122 84484 18 60 149 16285 98 1 0.00001 4645 0.00001 0.00001 5 744
21 24 7106 141 124 84525 18 89 161 16550 102 1 0.00001 4645 0.00001 0.00001 5 820
22 "" 7185 141 125 84570 18 60 166 16851 103 2 0.00001 4645 0.00001 0.00001 5 891
23 Jun 7255 141 126 84629 18 60 171 17141 102 2 0.00001 4645 0.00001 0.00001 5 916
24 14 7302 141 126 84729 18 60 177 17429 102 2 0.00001 4645 0.00001 0.00001 5 925
25 21 7436 141 129 84997 18 60 214 17864 102 3 0.00001 4646 0.00001 0.00001 5 953
26 "" 7641 141 139 85190 18 62 240 18390 104 3 0.00001 4648 0.00001 0.00001 5 971
27 Jul 8362 141 141 85306 18 62 280 19522 104 3 0.00001 4648 0.00001 0.00001 5 977
28 12 9553 141 156 85522 26 62 304 21502 107 3 0.00001 4648 0.00001 0.00001 5 982
29 19 11441 141 171 85937 26 62 307 24642 118 3 0.00001 4653 0.00001 0.00001 5 985
30 "" 13950 141 225 86839 27 62 329 29382 145 3 0.00001 4659 0.00001 0.00001 5 996
31 Aug 17282 141 240 88302 27 62 351 36689 200 3 0.00001 4674 1 0.00001 5 1011
32 9 20698 142 248 89151 27 69 404 46782 278 3 0.00001 4688 1 0.00001 5 1040
33 16 23035 142 273 89761 28 166 508 54714 379 3 0.00001 4710 1 0.00001 5 1088
34 23 24602 143 273 90141 28 298 812 61747 485 3 0.00001 4717 1 0.00001 7 1176
35 "" 25547 144 273 90351 28 482 1339 67264 600 3 0.00001 4728 2 0.00001 10 1264
36 Sep 26207 145 274 90517 31 720 1671 71419 748 3 0.00001 4735 2 0.00001 16 1357
37 13 26607 145 275 90666 32 1020 1891 75218 803 3 0.00001 4741 2 2 25 1439
38 20 26885 145 275 90840 32 1318 2117 78657 844 3 0.00001 4744 2 2 34 1500
39 "" 27016 146 276 90966 32 1579 2354 81690 870 3 0.00001 4746 2 6 43 1545
40 Oct 27121 146 278 91121 32 2026 2699 85339 893 3 0.00001 4746 2 8 51 1597
41 11 27244 146 283 91305 32 2754 3056 88912 897 3 0.00001 4746 2 10 59 1627
42 18 27399 147 285 91546 32 4610 3742 93480 905 3 0.00001 4746 2 16 66 1676
43 "" 27527 148 288 91725 33 6493 4308 97498 905 3 0.00001 4746 2 26 75 1725
44 Nov 27590 148 291 91921 34 7262 4632 101146 907 3 0.00001 4746 2 29 79 1766
45 8 27652 148 295 92195 34 9995 5034 107086 907 3 0.00001 4748 2 39 89 1812
46 15 27711 148 302 92428 35 11706 5854 116677 907 3 0.00001 4749 2 53 93 1883
47 22 27807 148 306 92648 35 12978 6355 130179 907 3 0.00001 4749 2 63 104 1974
48 "" 27885 150 315 93329 38 14096 6655 144653 907 3 0.00001 4750 2 73 112 2106
49 Dec 27956 151 346 94160 44 15107 6845 160098 908 3 0.00001 4753 2 79 113 2315
50 13 28025 152 359 94950 44 15618 6953 177287 908 3 0.00001 4756 2 91 117 2562
51 20 28128 152 362 95716 46 16182 7031 195880 908 3 0.00001 4770 2 103 119 2873
52 "" 28296 152 364 96324 46 16550 7094 217312 908 3 0.00001 4777 2 108 121 3213
53 Jan 28462 157 381 96894 49 16926 7148 240954 909 3 0.00001 4791 2 114 123 3548
54 10 28582 173 391 97518 53 17241 7218 280775 909 3 0.00001 4798 2 122 124 3996
55 17 28689 174 439 98625 55 17635 7283 322296 909 3 0.00001 4804 2 126 126 4446
56 24 28761 175 458 99931 55 17852 7340 360661 909 3 0.00001 4810 2 128 128 5019
57 "" 28806 180 465 100877 55 18060 7379 386742 909 3 0.00001 4823 2 131 129 5654
58 Feb 28848 181 474 101272 56 18185 7436 403435 909 3 0.00001 4831 2 133 129 6338
59 14 28892 184 479 101515 56 18263 7484 414472 909 3 0.00001 4838 2 135 130 6912
60 21 28920 185 533 101669 56 18346 7507 424507 909 3 0.00001 4842 2 137 130 7417
61 "" 28965 186 805 101878 59 18387 7526 431740 909 3 0.00001 4843 2 139 131 7860
62 Mar 29030 189 987 102064 63 18459 7540 438956 909 3 0.00001 4848 2 140 133 8227
63 14 29112 192 1305 102333 66 18527 7558 446873 909 3 1 4849 2 141 133 8560
64 21 29192 205 1680 102523 67 18576 7570 455638 909 3 3 4849 2 141 134 8812
65 "" 29252 206 2233 102680 67 18607 7587 466849 909 3 10 4851 2 141 134 9031
66 Apr 29341 214 2689 102867 67 18633 7606 482867 909 3 19 4851 2 141 136 9221
67 11 29396 219 4238 103083 68 18652 7625 503403 909 3 29 4853 2 141 136 9382
68 18 29505 221 6389 103273 72 18696 7654 529829 910 3 43 4856 2 141 136 9622
69 "" 29658 223 9975 103464 87 18734 7697 562141 910 3 74 4856 2 141 136 9913
70 May 29812 227 14520 103649 119 18758 7757 597225 910 3 103 4858 2 141 136 10296
71 9 29906 230 19237 103796 136 18790 7813 633027 910 3 120 4858 3 141 139 10823
72 16 29967 232 22184 104191 168 18815 7855 677988 910 3 150 4858 4 141 139 11463
73 23 30004 236 25205 106715 206 18844 7896 714274 910 3 176 4863 4 141 139 12236
74 "" 30083 241 29404 110765 360 18860 7918 741674 910 3 209 4945 4 142 139 12920
75 Jun 30158 244 33613 114105 604 18889 7957 760323 910 3 252 5070 4 142 139 13523
76 13 30237 249 37959 116103 1013 18930 7984 773822 910 3 320 5257 4 142 139 14033
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Western_Pacific_Region02.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Western_Pacific_Region02.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Western_Pacific_Region by name [02]"
$data <<EOF
week day Lao_PDR Malaysia Marshall_Is Micronesia Mongolia N_Mariana_Is New_Caledonia New_Zealand Lao_PDR Malaysia Marshall_Is Micronesia Mongolia N_Mariana_Is New_Caledonia New_Zealand
4 Jan - 3 - - - - - - - - - - - - - -
5 Feb - 8 - - - - - - - - - - - - - -
6 9 - 17 - - - - - - - 0.00001 - - - - - -
7 16 - 22 - - - - - - - 0.00001 - - - - - -
8 23 - 22 - - - - - - - 0.00001 - - - - - -
9 Mar - 24 - - - - - 1 - 0.00001 - - - - - 0.00001
10 8 - 93 - - - - - 5 - 0.00001 - - - - - 0.00001
11 15 - 238 - - 1 - - 6 - 0.00001 - - 0.00001 - - 0.00001
12 22 - 1183 - - 10 - 4 66 - 3 - - 0.00001 - 0.00001 0.00001
13 "" 6 2320 - - 12 2 15 476 0.00001 27 - - 0.00001 0.00001 0.00001 1
14 Apr 10 3483 - - 14 8 18 872 0.00001 57 - - 0.00001 1 0.00001 1
15 12 16 4530 - - 16 11 18 1049 0.00001 73 - - 0.00001 2 0.00001 4
16 19 19 5305 - - 31 14 18 1098 0.00001 88 - - 0.00001 2 0.00001 11
17 "" 19 5742 - - 37 14 18 1121 0.00001 98 - - 0.00001 2 0.00001 18
18 May 19 6176 - - 39 14 18 1136 0.00001 103 - - 0.00001 2 0.00001 20
19 10 19 6589 - - 42 16 18 1144 0.00001 108 - - 0.00001 2 0.00001 21
20 17 19 6872 - - 135 21 18 1149 0.00001 113 - - 0.00001 2 0.00001 21
21 24 19 7185 - - 141 22 18 1154 0.00001 115 - - 0.00001 2 0.00001 21
22 "" 19 7762 - - 179 22 19 1154 0.00001 115 - - 0.00001 2 0.00001 22
23 Jun 19 8303 - - 193 26 20 1154 0.00001 117 - - 0.00001 2 0.00001 22
24 14 19 8445 - - 197 30 21 1154 0.00001 120 - - 0.00001 2 0.00001 22
25 21 19 8556 - - 204 30 21 1159 0.00001 121 - - 0.00001 2 0.00001 22
26 "" 19 8616 - - 219 30 21 1176 0.00001 121 - - 0.00001 2 0.00001 22
27 Jul 19 8658 - - 220 31 21 1183 0.00001 121 - - 0.00001 2 0.00001 22
28 12 19 8704 - - 227 33 21 1194 0.00001 122 - - 0.00001 2 0.00001 22
29 19 19 8764 - - 287 37 22 1203 0.00001 122 - - 0.00001 2 0.00001 22
30 "" 20 8884 - - 288 39 22 1206 0.00001 123 - - 0.00001 2 0.00001 22
31 Aug 20 8985 - - 291 44 22 1215 0.00001 125 - - 0.00001 2 0.00001 22
32 9 20 9070 - - 293 48 23 1219 0.00001 125 - - 0.00001 2 0.00001 22
33 16 22 9175 - - 298 50 23 1271 0.00001 125 - - 0.00001 2 0.00001 22
34 23 22 9257 - - 298 54 23 1324 0.00001 125 - - 0.00001 2 0.00001 22
35 "" 22 9317 - - 301 56 23 1378 0.00001 125 - - 0.00001 2 0.00001 22
36 Sep 22 9391 - - 310 58 26 1421 0.00001 128 - - 0.00001 2 0.00001 24
37 13 23 9868 - - 311 60 26 1446 0.00001 128 - - 0.00001 2 0.00001 24
38 20 23 10167 - - 311 68 26 1464 0.00001 130 - - 0.00001 2 0.00001 25
39 "" 23 10769 - - 313 70 27 1477 0.00001 133 - - 0.00001 2 0.00001 25
40 Oct 23 12088 - - 313 73 27 1498 0.00001 137 - - 0.00001 2 0.00001 25
41 11 23 15096 - - 315 77 27 1515 0.00001 155 - - 0.00001 2 0.00001 25
42 18 23 21363 - - 324 86 27 1531 0.00001 190 - - 0.00001 2 0.00001 25
43 "" 24 27805 - - 339 92 27 1585 0.00001 236 - - 0.00001 2 0.00001 25
44 Nov 24 31548 2 - 346 96 28 1603 0.00001 249 0.00001 - 0.00001 2 0.00001 25
45 8 24 39357 1 - 357 98 29 1626 0.00001 282 0.00001 - 0.00001 2 0.00001 25
46 15 24 46209 1 - 416 102 30 1645 0.00001 306 0.00001 - 0.00001 2 0.00001 25
47 22 25 53679 4 - 582 104 32 1672 0.00001 332 0.00001 - 0.00001 2 0.00001 25
48 "" 39 63176 4 - 760 105 32 1696 0.00001 354 0.00001 - 0.00001 2 0.00001 25
49 Dec 39 71359 4 - 842 109 35 1722 0.00001 380 0.00001 - 0.00001 2 0.00001 25
50 13 41 82246 4 - 906 113 36 1740 0.00001 411 0.00001 - 0.00001 2 0.00001 25
51 20 41 91969 4 - 953 116 37 1760 0.00001 433 0.00001 - 0.00001 2 0.00001 25
52 "" 41 103900 4 - 1082 122 38 1788 0.00001 451 0.00001 - 0.00001 2 0.00001 25
53 Jan 41 117373 4 - 1242 122 40 1825 0.00001 483 0.00001 - 0.00001 2 0.00001 25
54 10 41 133559 4 1 1408 125 40 1862 0.00001 542 0.00001 0.00001 0.00001 2 0.00001 25
55 17 41 155095 4 1 1512 128 44 1900 0.00001 594 0.00001 0.00001 1 2 0.00001 25
56 24 43 180455 4 1 1611 132 44 1926 0.00001 667 0.00001 0.00001 2 2 0.00001 25
57 "" 44 209661 4 - 1742 132 47 1947 0.00001 746 0.00001 - 2 2 0.00001 25
58 Feb 45 238721 4 - 1989 133 49 1964 0.00001 857 0.00001 - 2 2 0.00001 25
59 14 45 261805 4 - 2293 134 52 1974 0.00001 958 0.00001 - 2 2 0.00001 25
60 21 45 280272 4 - 2586 143 55 1994 0.00001 1051 0.00001 - 2 2 0.00001 26
61 "" 45 298315 4 - 2866 143 58 2020 0.00001 1121 0.00001 - 2 2 0.00001 26
62 Mar 47 311777 4 - 3161 145 58 2043 0.00001 1166 0.00001 - 2 2 0.00001 26
63 14 49 322409 4 - 3833 150 91 2067 0.00001 1206 0.00001 - 4 2 0.00001 26
64 21 49 331713 4 - 4806 157 116 2097 0.00001 1229 0.00001 - 5 2 0.00001 26
65 "" 49 340642 4 - 6693 159 121 2126 0.00001 1251 0.00001 - 6 2 0.00001 26
66 Apr 49 349610 4 - 9598 159 121 2151 0.00001 1286 0.00001 - 11 2 0.00001 26
67 11 49 359117 4 - 14183 160 121 2218 0.00001 1321 0.00001 - 20 2 0.00001 26
68 18 58 372859 4 - 20655 162 123 2238 0.00001 1370 0.00001 - 41 2 0.00001 26
69 "" 247 390252 4 - 29219 164 124 2245 0.00001 1426 0.00001 - 74 2 0.00001 26
70 May 821 411594 4 - 37285 168 124 2261 0.00001 1521 0.00001 - 115 2 0.00001 26
71 9 1233 436944 4 - 44016 169 124 2286 0.00001 1657 0.00001 - 160 2 0.00001 26
72 16 1570 466330 4 - 48101 173 124 2290 2 1866 0.00001 - 205 2 0.00001 26
73 23 1782 505115 4 - 51931 181 125 2307 2 2199 0.00001 - 244 2 0.00001 26
74 "" 1908 558534 4 - 56621 183 128 2316 3 2650 0.00001 - 268 2 0.00001 26
75 Jun 1957 610574 4 - 63978 183 128 2326 3 3291 0.00001 - 307 2 0.00001 26
76 13 1990 652204 4 - 73896 183 128 2352 3 3844 0.00001 - 351 2 0.00001 26
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Western_Pacific_Region03.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Western_Pacific_Region03.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Western_Pacific_Region by name [03]"
$data <<EOF
week day Papua_New_Guinea Philippines R_Korea Samoa Singapore Solomon_Is Vanuatu Vietnam Papua_New_Guinea Philippines R_Korea Samoa Singapore Solomon_Is Vanuatu Vietnam
4 Jan - - 2 - 4 - - 2 - - - - - - - -
5 Feb - 2 15 - 18 - - 7 - - - - - - - -
6 9 - 3 27 - 40 - - 14 - 1 0.00001 - 0.00001 - - 0.00001
7 16 - 3 29 - 72 - - 16 - 1 0.00001 - 0.00001 - - 0.00001
8 23 - 3 602 - 89 - - 16 - 1 5 - 0.00001 - - 0.00001
9 Mar - 3 3736 - 102 - - 16 - 1 18 - 0.00001 - - 0.00001
10 8 - 6 7134 - 138 - - 21 - 1 50 - 0.00001 - - 0.00001
11 15 - 111 8162 - 212 - - 53 - 6 75 - 0.00001 - - 0.00001
12 22 1 307 8897 - 432 - - 94 0.00001 19 104 - 2 - - 0.00001
13 "" 1 1075 9583 - 802 - - 179 0.00001 68 152 - 2 - - 0.00001
14 Apr 1 3094 10237 - 1189 - - 240 0.00001 144 183 - 5 - - 0.00001
15 12 2 4428 10512 - 2299 - - 258 0.00001 247 214 - 8 - - 0.00001
16 19 7 6087 10661 - 5573 - - 268 0.00001 397 234 - 11 - - 0.00001
17 "" 8 7294 10728 - 12693 - - 270 0.00001 494 242 - 12 - - 0.00001
18 May 8 8928 10793 - 17548 - - 270 0.00001 603 250 - 17 - - 0.00001
19 10 8 10610 10874 - 22460 - - 288 0.00001 704 256 - 20 - - 0.00001
20 17 8 12305 11050 - 27356 - - 318 0.00001 817 262 - 22 - - 0.00001
21 24 8 13777 11190 - 31068 - - 325 0.00001 863 266 - 23 - - 0.00001
22 "" 8 17224 11468 - 34366 - - 328 0.00001 950 270 - 23 - - 0.00001
23 Jun 8 21340 11776 - 37527 - - 329 0.00001 994 273 - 25 - - 0.00001
24 14 8 25392 12085 - 40197 - - 334 0.00001 1074 277 - 26 - - 0.00001
25 21 9 29400 12421 - 41833 - - 349 0.00001 1150 280 - 26 - - 0.00001
26 "" 11 34803 12715 - 43246 - - 355 0.00001 1236 282 - 26 - - 0.00001
27 Jul 11 41830 13091 - 44664 - - 355 0.00001 1290 283 - 26 - - 0.00001
28 12 11 54222 13417 - 45783 - - 370 0.00001 1372 289 - 26 - - 0.00001
29 19 15 65304 13745 - 47656 - - 382 0.00001 1773 295 - 27 - - 0.00001
30 "" 39 78412 14150 - 49888 - - 418 0.00001 1897 298 - 27 - - 0.00001
31 Aug 91 98232 14366 - 52512 - - 590 2 2039 301 - 27 - - 3
32 9 188 126885 14598 - 54929 - - 812 3 2209 305 - 27 - - 10
33 16 275 157918 15318 - 55661 - - 951 3 2600 305 - 27 - - 23
34 23 361 187249 17399 - 56266 - - 1014 4 2966 309 - 27 - - 26
35 "" 459 213131 19699 - 56717 - - 1040 5 3419 323 - 27 - - 32
36 Sep 488 234570 21177 - 56982 - - 1049 5 3790 334 - 27 - - 35
37 13 508 257863 22176 - 57357 - - 1060 5 4292 358 - 27 - - 35
38 20 516 283460 22975 - 57558 - - 1068 6 4930 383 - 27 - - 35
39 "" 532 301256 23611 - 57685 - - 1069 7 5284 401 - 27 - - 35
40 Oct 540 319330 24091 - 57800 1 - 1096 7 5678 421 - 27 0.00001 - 35
41 11 550 336926 24606 - 57866 1 - 1107 7 6238 432 - 27 0.00001 - 35
42 18 581 359169 25333 - 57915 3 - 1140 7 6675 447 - 28 0.00001 - 35
43 "" 588 371630 26043 - 57973 4 - 1169 7 7039 460 - 28 0.00001 - 35
44 Nov 589 380729 26635 - 58015 8 - 1180 7 7221 466 - 28 0.00001 - 35
45 8 597 393961 27427 - 58054 13 - 1213 7 7485 478 - 28 0.00001 - 35
46 15 600 406337 28546 - 58116 16 1 1265 7 7791 493 - 28 0.00001 0.00001 35
47 22 604 416852 30733 - 58148 16 1 1306 7 8080 505 - 28 0.00001 0.00001 35
48 "" 645 427797 33763 - 58205 17 1 1341 7 8333 523 - 29 0.00001 0.00001 35
49 Dec 671 438069 37546 - 58255 17 1 1365 7 8526 545 - 29 0.00001 0.00001 35
50 13 720 448331 42766 - 58313 17 1 1395 8 8730 580 - 29 0.00001 0.00001 35
51 20 760 458044 49665 - 58403 17 1 1411 8 8911 674 - 29 0.00001 0.00001 35
52 "" 780 469005 56872 - 58519 17 1 1440 9 9067 808 - 29 0.00001 0.00001 35
53 Jan 780 476916 63244 - 58662 17 1 1482 9 9253 962 - 29 0.00001 0.00001 35
54 10 811 485797 68663 - 58865 17 1 1513 9 9398 1125 - 29 0.00001 0.00001 35
55 17 834 498691 72340 - 59083 17 1 1537 9 9884 1249 - 29 0.00001 0.00001 35
56 24 849 511679 75084 2 59260 17 1 1548 9 10190 1349 0.00001 29 0.00001 0.00001 35
57 "" 851 523516 78203 2 59507 17 1 1781 9 10669 1420 0.00001 29 0.00001 0.00001 35
58 Feb 894 535521 80896 3 59675 17 1 1985 9 11110 1471 0.00001 29 0.00001 0.00001 35
59 14 922 547255 83525 3 59786 18 1 2195 10 11507 1522 0.00001 29 0.00001 0.00001 35
60 21 970 559288 86992 4 59858 18 1 2368 10 12068 1557 0.00001 29 0.00001 0.00001 35
61 "" 1275 574247 89674 4 59925 18 1 2432 12 12289 1603 0.00001 29 0.00001 0.00001 35
62 Mar 1583 591138 92471 4 60020 18 1 2509 16 12465 1634 0.00001 29 0.00001 0.00001 35
63 14 2173 616611 95635 4 60088 18 3 2553 21 12766 1669 0.00001 30 0.00001 0.00001 35
64 21 3359 656056 98660 4 60184 18 3 2572 36 12930 1696 0.00001 30 0.00001 0.00001 35
65 "" 5205 712417 101757 4 60288 18 3 2590 45 13159 1722 0.00001 30 0.00001 0.00001 35
66 Apr 6857 784023 105279 4 60468 19 3 2629 61 13423 1744 0.00001 30 0.00001 0.00001 35
67 11 8442 853187 109559 4 60633 19 3 2692 68 14744 1768 0.00001 30 0.00001 0.00001 35
68 18 9738 926035 114114 4 60808 20 3 2781 89 15810 1797 0.00001 30 0.00001 0.00001 35
69 "" 10670 989399 118887 1 60966 20 3 2833 102 16674 1813 0.00001 30 0.00001 0.00001 35
70 May 11206 1046637 123240 1 61179 20 3 2942 115 17354 1833 0.00001 31 0.00001 0.00001 35
71 9 12226 1094834 127309 1 61331 20 3 3245 121 18269 1874 0.00001 31 0.00001 0.00001 35
72 16 13928 1138173 131671 1 61536 20 3 4112 136 19051 1900 0.00001 31 0.00001 0.00001 36
73 23 15187 1178207 135929 1 61799 20 3 5119 156 19946 1931 0.00001 32 0.00001 0.00001 41
74 "" 15901 1216569 139910 1 62003 20 3 6908 162 20722 1957 0.00001 32 0.00001 0.00001 47
75 Jun 16327 1262250 144152 1 62176 20 3 8580 164 21732 1973 0.00001 33 0.00001 0.00001 53
76 13 16727 1308337 147874 1 62263 20 3 10337 165 22652 1985 0.00001 34 0.00001 0.00001 58
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
replot $data using 0:4 with lines lc 1 lw 5 dt 2 title at 0.135, 0.907
replot $data using 0:5 with lines lc 7 lw 5 dt 2 title at 0.135, 0.889
replot $data using 0:6 with lines lc 4 lw 5 dt 2 title at 0.135, 0.871
replot $data using 0:7 with lines lc 5 lw 5 dt 2 title at 0.135, 0.853
replot $data using 0:8 with lines lc 2 lw 5 dt 2 title at 0.135, 0.835
replot $data using 0:9 with lines lc 6 lw 5 dt 2 title at 0.135, 0.817
replot $data using 0:10 with lines lc 3 lw 5 dt 2 title at 0.135, 0.799
# plot field 'deaths'
replot $data using 0:11 with lines lc 8 lw 2 title at 0.135, 0.763
replot $data using 0:12 with lines lc 1 lw 2 title at 0.135, 0.745
replot $data using 0:13 with lines lc 7 lw 2 title at 0.135, 0.727
replot $data using 0:14 with lines lc 4 lw 2 title at 0.135, 0.709
replot $data using 0:15 with lines lc 5 lw 2 title at 0.135, 0.691
replot $data using 0:16 with lines lc 2 lw 2 title at 0.135, 0.673
replot $data using 0:17 with lines lc 6 lw 2 title at 0.135, 0.655
replot $data using 0:18 with lines lc 3 lw 2 title at 0.135, 0.637
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_Western_Pacific_Region04.gp"
|
|---|
set term pdf size 22,13
set term pdf font "sans,20"
set output "WHO_Covid_rn_confirmed,deaths_Western_Pacific_Region04.pdf"
set key autotitle columnhead
set termoption noenhanced
set xrange [-1:77-4]
set logscale y
set logscale y2
set yrange [1:33120623]
set y2range [1:33120623]
set grid y2tics
unset ytics
set xtics 3650,100
set y2tics
set format y2 "%.0f"
set datafile missing "-"
set title "confirmed,deaths Western_Pacific_Region by name [04]"
$data <<EOF
week day Wallis_Futuna Wallis_Futuna
4 Jan - -
5 Feb - -
6 9 - -
7 16 - -
8 23 - -
9 Mar - -
10 8 - -
11 15 - -
12 22 - -
13 "" - -
14 Apr - -
15 12 - -
16 19 - -
17 "" - -
18 May - -
19 10 - -
20 17 - -
21 24 - -
22 "" - -
23 Jun - -
24 14 - -
25 21 - -
26 "" - -
27 Jul - -
28 12 - -
29 19 - -
30 "" - -
31 Aug - -
32 9 - -
33 16 - -
34 23 - -
35 "" - -
36 Sep - -
37 13 - -
38 20 - -
39 "" - -
40 Oct - -
41 11 - -
42 18 - -
43 "" 1 0.00001
44 Nov 1 0.00001
45 8 1 0.00001
46 15 1 0.00001
47 22 2 0.00001
48 "" 3 0.00001
49 Dec 3 0.00001
50 13 3 0.00001
51 20 4 0.00001
52 "" 4 0.00001
53 Jan 4 0.00001
54 10 4 0.00001
55 17 4 0.00001
56 24 4 0.00001
57 "" 5 0.00001
58 Feb 5 0.00001
59 14 9 0.00001
60 21 9 0.00001
61 "" 9 0.00001
62 Mar 10 0.00001
63 14 176 0.00001
64 21 311 1
65 "" 376 4
66 Apr 425 4
67 11 441 5
68 18 447 5
69 "" 449 5
70 May 453 7
71 9 454 7
72 16 454 7
73 23 454 7
74 "" 454 7
75 Jun 454 7
76 13 454 7
EOF
set multiplot
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 5 dt 2 title at 0.135, 0.925
# plot field 'deaths'
replot $data using 0:4 with lines lc 8 lw 2 title at 0.135, 0.763
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
|
closeup China
edit(Data available only for 20 Jan 2020 ... 15 Mar 2020)
- File:WHO Covid rn confirmed,deaths closeup China01.pdf
- File:WHO Covid rn confirmed,deaths closeup China02.pdf
- File:WHO Covid rn confirmed,deaths closeup China03.pdf
- File:WHO Covid rn confirmed,deaths closeup China04.pdf
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_closeup_China01.gp"
|
|---|
set key autotitle columnhead
set key top left
set termoption noenhanced
set xrange [-1:60]
set logscale y
set logscale y2
set yrange [1:1432265]
set y2range [1:1432265]
set grid xtics y2tics
unset ytics
set y2tics
set format y2 "%.0f"
set title "confirmed,deaths closeup_China by name [01]"
$data <<EOF
rep day Anhui Beijing Chongqing Fujian Gansu Guangdong Guangxi Guizhou Hainan Anhui Beijing Chongqing Fujian Gansu Guangdong Guangxi Guizhou Hainan
1 Jan . 5 . . . 14 . . . . . . . . . . . .
2 "" . 5 1 . . 17 . . . . . . . . . . . .
3 "" . 10 5 . . 26 . . . . . . . . . . . .
- - - - - - - - - - - - - - - - - - - -
4 "" . 10 5 . . 32 . . . . . . . . . . . .
5 25 . . . . . . . . . . . . . . . . . .
6 "" . . . . . . . . . . . . . . . . . .
7 "" . . . . . . . . . . . . . . . . . .
8 "" . . . . . . . . . . . . . . . . . .
9 "" . . . . . . . . . . . . . . . . . .
10 30 . . . . . . . . . . . . . . . . . .
11 "" . . . . . . . . . . . . . . . . . .
12 Feb 297 156 238 144 35 520 100 29 57 . . . . . . . . .
13 "" 340 183 262 159 45 604 111 38 63 . . . . . . . . .
14 "" 408 212 300 179 51 683 127 46 70 . . . . . . . . .
15 "" 480 228 337 194 56 797 139 56 79 . . . . . . . . .
16 05 530 253 366 205 57 870 150 64 89 . . . . . . . . .
17 "" 591 274 389 215 62 944 168 69 100 . . . . . . . . .
18 "" 665 297 411 224 70 1018 172 77 111 . . . . . . . . .
19 "" 733 315 426 239 71 1075 183 89 123 . . . . . . . . .
20 "" 779 326 446 250 81 1120 195 96 128 . . . . . . . . .
21 10 830 337 468 261 85 1151 210 109 136 . . . . . . . . .
22 "" 860 342 486 267 86 1177 215 118 142 . . . . . . . . .
23 "" 889 352 505 272 86 1219 222 131 145 4 3 3 0.00001 2 1 1 1 3
24 "" 910 366 518 279 87 1241 222 135 157 . . . . . . . . .
25 "" 934 372 529 281 90 1261 226 140 157 6 3 4 0.00001 2 2 2 1 4
26 15 950 375 537 285 90 1294 235 143 162 6 4 5 0.00001 2 2 2 1 4
27 "" 962 380 544 287 90 1316 237 144 162 6 4 5 0.00001 2 2 2 1 4
28 "" 973 381 551 290 91 1322 238 146 162 6 4 5 0.00001 2 4 2 1 4
29 "" 982 387 553 292 91 1328 242 146 163 6 4 5 0.00001 2 4 2 1 4
30 "" 986 393 555 293 91 1331 244 146 163 6 4 5 0.00001 2 5 2 2 4
31 20 987 395 560 293 91 1332 245 146 168 6 4 5 1 1 5 2 2 4
32 "" 988 396 567 293 91 1333 246 146 168 6 4 6 1 2 5 2 2 4
33 "" 989 399 572 293 91 1339 249 146 168 6 4 6 1 2 5 2 2 4
34 "" 989 399 573 293 91 1342 249 146 168 6 4 6 1 2 6 2 2 4
35 "" 989 399 575 293 91 1345 251 146 168 6 4 6 1 2 6 2 2 5
36 25 989 400 576 294 91 1347 252 146 168 6 4 6 1 2 7 2 2 5
37 "" 989 400 576 294 91 1347 252 146 168 6 4 6 1 2 7 2 2 5
38 "" 989 410 576 296 91 1347 252 146 168 6 5 6 1 2 7 2 2 5
39 "" 990 410 576 296 91 1348 252 146 168 6 7 6 1 2 7 2 2 5
40 "" 990 411 576 296 91 1349 252 146 168 6 8 6 1 2 7 2 2 5
41 Mar 990 413 576 296 91 1349 252 146 168 6 8 6 1 2 7 2 2 5
42 "" 990 414 576 296 91 1350 252 146 168 6 8 6 1 2 7 2 2 5
43 "" 990 414 576 296 91 1350 252 146 168 6 8 6 1 2 7 2 2 5
44 "" 990 417 576 296 91 1350 252 146 168 6 8 6 1 2 7 2 2 5
45 05 990 418 576 296 91 1350 252 146 168 6 8 6 1 2 7 2 2 5
46 "" 990 422 576 296 102 1351 252 146 168 6 8 6 1 2 7 2 2 6
47 "" 990 426 576 296 119 1352 252 146 168 6 8 6 1 2 7 2 2 6
48 "" 990 428 576 296 120 1352 252 146 168 6 8 6 1 2 7 2 2 6
49 "" 990 428 576 296 124 1352 252 146 168 6 8 6 1 2 8 2 2 6
50 10 990 429 576 296 124 1353 252 146 168 6 8 6 1 2 8 2 2 6
51 "" 990 435 576 296 125 1353 252 146 168 6 8 6 1 2 8 2 2 6
52 "" 990 435 576 296 127 1356 252 146 168 6 8 6 1 2 8 2 2 6
53 "" 990 436 576 296 127 1356 252 146 168 6 8 6 1 2 8 2 2 6
54 "" 990 437 576 296 129 1356 252 146 168 6 8 6 1 2 8 2 2 6
55 15 990 442 576 296 132 1357 252 146 168 6 8 6 1 2 8 2 2 6
56 "" . . . . . . . . . . . . . . . . . .
57 "" . . . . . . . . . . . . . . . . . .
58 "" . . . . . . . . . . . . . . . . . .
59 "" . . . . . . . . . . . . . . . . . .
60 20 . . . . . . . . . . . . . . . . . .
EOF
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 2 dt 2
replot $data using 0:4 with lines lc 1 lw 2 dt 2
replot $data using 0:5 with lines lc 7 lw 2 dt 2
replot $data using 0:6 with lines lc 4 lw 2 dt 2
replot $data using 0:7 with lines lc 5 lw 2 dt 2
replot $data using 0:8 with lines lc 2 lw 2 dt 2
replot $data using 0:9 with lines lc 6 lw 2 dt 2
replot $data using 0:10 with lines lc 3 lw 2 dt 2
replot $data using 0:11 with lines lc 0 lw 2 dt 2
# plot field 'deaths'
replot $data using 0:12 with lines lc 8
replot $data using 0:13 with lines lc 1
replot $data using 0:14 with lines lc 7
replot $data using 0:15 with lines lc 4
replot $data using 0:16 with lines lc 5
replot $data using 0:17 with lines lc 2
replot $data using 0:18 with lines lc 6
replot $data using 0:19 with lines lc 3
replot $data using 0:20 with lines lc 0
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
pause -1
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_closeup_China02.gp"
|
|---|
set key autotitle columnhead
set key top left
set termoption noenhanced
set xrange [-1:60]
set logscale y
set logscale y2
set yrange [1:1432265]
set y2range [1:1432265]
set grid xtics y2tics
unset ytics
set y2tics
set format y2 "%.0f"
set title "confirmed,deaths closeup_China by name [02]"
$data <<EOF
rep day Hebei Heilongjiang Henan Hong_Kong Hubei Hunan Inner_Mongolia Jiangsu Jiangxi Hebei Heilongjiang Henan Hong_Kong Hubei Hunan Inner_Mongolia Jiangsu Jiangxi
1 Jan . . . . 258 . . . . . . . . . . . . .
2 "" . . 1 . 270 1 . . 2 . . . . . . . . .
3 "" . . 1 1 375 1 . . 2 . . . . . . . . .
- - - - - - - - - - - - - - - - - - - -
4 "" . . 1 2 375 1 . . 2 . . . . . . . . .
5 25 . . . . . . . . . . . . . . . . . .
6 "" . . . . . . . . . . . . . . . . . .
7 "" . . . . . . . . . . . . . . . . . .
8 "" . . . . . . . . . . . . . . . . . .
9 "" . . . . . . . . . . . . . . . . . .
10 30 . . . . . . . . . . . . . . . . . .
11 "" . . . . . . . . . . . . . . . . . .
12 Feb 96 80 422 13 7153 389 23 202 286 . . . . . . . . .
13 "" 104 95 493 14 9074 463 26 231 333 . . . . . . . . .
14 "" 113 118 566 15 11177 521 33 271 391 . . . . . . . . .
15 "" 126 155 675 15 13522 593 37 308 476 . . . . . . . . .
16 05 135 190 764 18 16678 661 42 341 548 . . . . . . . . .
17 "" 157 227 851 21 19665 711 46 373 600 . . . . . . . . .
18 "" 171 277 914 24 22112 772 49 408 661 . . . . . . . . .
19 "" 195 282 981 26 24953 803 50 439 698 . . . . . . . . .
20 "" 206 307 1033 26 27100 838 54 468 740 . . . . . . . . .
21 10 218 331 1073 36 29631 879 58 492 771 . . . . . . . . .
22 "" 239 360 1105 42 31728 912 58 515 804 . . . . . . . . .
23 "" 251 378 1135 49 33366 946 60 543 844 2 8 8 1 1068 2 0.00001 0.00001 1
24 "" 265 395 1169 50 34874 968 61 570 872 . . . . . . . . .
25 "" 283 418 1184 53 51986 988 63 593 900 3 11 11 1 1318 2 0.00001 0.00001 1
26 15 291 425 1212 56 54406 1001 68 604 913 3 11 13 1 1457 2 0.00001 0.00001 1
27 "" 300 445 1231 56 56249 1004 70 617 925 3 11 13 1 1596 3 0.00001 0.00001 1
28 "" 301 457 1246 57 58182 1006 72 626 930 3 11 16 1 1696 3 0.00001 0.00001 1
29 "" 302 464 1257 60 59989 1007 73 629 933 4 11 19 1 1789 4 0.00001 0.00001 1
30 "" 306 470 1262 62 61682 1008 75 631 934 4 12 19 1 1921 4 0.00001 0.00001 1
31 20 307 476 1265 65 62031 1010 75 631 934 5 12 19 2 2029 4 0.00001 0.00001 1
32 "" 308 479 1267 68 62662 1011 75 631 934 5 12 19 2 2144 4 0.00001 0.00001 1
33 "" 309 479 1270 68 63454 1013 75 631 934 6 12 19 2 2250 4 0.00001 0.00001 1
34 "" 311 480 1271 70 64084 1016 75 631 934 6 12 19 2 2346 4 0.00001 0.00001 1
35 "" 311 480 1271 74 64287 1016 75 631 934 6 12 19 2 2495 4 0.00001 0.00001 1
36 25 311 480 1271 81 64786 1016 75 631 934 6 12 19 2 2563 4 0.00001 0.00001 1
37 "" 312 480 1271 85 65187 1016 75 631 934 6 12 19 2 2615 4 0.00001 0.00001 1
38 "" 317 480 1272 91 65596 1017 75 631 934 6 13 20 2 2641 4 0.00001 0.00001 1
39 "" 318 480 1272 93 65914 1017 75 631 935 6 13 20 2 2682 4 0.00001 0.00001 1
40 "" 318 480 1272 94 66337 1018 75 631 935 6 13 21 2 2727 4 0.00001 0.00001 1
41 Mar 318 480 1272 95 66907 1018 75 631 935 6 13 22 2 2761 4 0.00001 0.00001 1
42 "" 318 480 1272 98 67103 1018 75 631 935 6 13 22 2 2803 4 0.00001 0.00001 1
43 "" 318 480 1272 101 67217 1018 75 631 935 6 13 22 2 2834 4 0.00001 0.00001 1
44 "" 318 480 1272 100 67332 1018 75 631 935 6 13 22 2 2871 4 1 0.00001 1
45 05 318 481 1272 104 67466 1018 75 631 935 6 13 22 2 2902 4 1 0.00001 1
46 "" 318 481 1272 104 67592 1018 75 631 935 6 13 22 2 2931 4 1 0.00001 1
47 "" 318 481 1272 107 67666 1018 75 631 935 6 13 22 2 2959 4 1 0.00001 1
48 "" 318 481 1272 109 67707 1018 75 631 935 6 13 22 2 2986 4 1 0.00001 1
49 "" 318 481 1272 114 67743 1018 75 631 935 6 13 22 3 3007 4 1 0.00001 1
50 10 318 481 1272 115 67760 1018 75 631 935 6 13 22 3 3024 4 1 0.00001 1
51 "" 318 482 1272 120 67773 1018 75 631 935 6 13 22 3 3046 4 1 0.00001 1
52 "" 318 482 1273 129 67781 1018 75 631 935 6 13 22 3 3056 4 1 0.00001 1
53 "" 318 482 1273 131 67786 1018 75 631 935 6 13 22 3 3062 4 1 0.00001 1
54 "" 318 482 1273 137 67790 1018 75 631 935 6 13 22 4 3075 4 1 0.00001 1
55 15 318 482 1273 141 67794 1018 75 631 935 6 13 22 4 3085 4 1 0.00001 1
56 "" . . . . . . . . . . . . . . . . . .
57 "" . . . . . . . . . . . . . . . . . .
58 "" . . . . . . . . . . . . . . . . . .
59 "" . . . . . . . . . . . . . . . . . .
60 20 . . . . . . . . . . . . . . . . . .
EOF
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 2 dt 2
replot $data using 0:4 with lines lc 1 lw 2 dt 2
replot $data using 0:5 with lines lc 7 lw 2 dt 2
replot $data using 0:6 with lines lc 4 lw 2 dt 2
replot $data using 0:7 with lines lc 5 lw 2 dt 2
replot $data using 0:8 with lines lc 2 lw 2 dt 2
replot $data using 0:9 with lines lc 6 lw 2 dt 2
replot $data using 0:10 with lines lc 3 lw 2 dt 2
replot $data using 0:11 with lines lc 0 lw 2 dt 2
# plot field 'deaths'
replot $data using 0:12 with lines lc 8
replot $data using 0:13 with lines lc 1
replot $data using 0:14 with lines lc 7
replot $data using 0:15 with lines lc 4
replot $data using 0:16 with lines lc 5
replot $data using 0:17 with lines lc 2
replot $data using 0:18 with lines lc 6
replot $data using 0:19 with lines lc 3
replot $data using 0:20 with lines lc 0
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
pause -1
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_closeup_China03.gp"
|
|---|
set key autotitle columnhead
set key top left
set termoption noenhanced
set xrange [-1:60]
set logscale y
set logscale y2
set yrange [1:1432265]
set y2range [1:1432265]
set grid xtics y2tics
unset ytics
set y2tics
set format y2 "%.0f"
set title "confirmed,deaths closeup_China by name [03]"
$data <<EOF
rep day Jilin Liaoning Macao Ningxia Qinghai Shaanxi Shandong Shanghai Shanxi Jilin Liaoning Macao Ningxia Qinghai Shaanxi Shandong Shanghai Shanxi
1 Jan . . . . . . . 1 . . . . . . . . . .
2 "" . . . . . . 1 2 . . . . . . . . . .
3 "" . . 1 . . . 1 9 . . . . . . . . . .
- - - - - - - - - - - - - - - - - - - -
4 "" . . 2 . . . 1 9 . . . . . . . . . .
5 25 . . . . . . . . . . . . . . . . . .
6 "" . . . . . . . . . . . . . . . . . .
7 "" . . . . . . . . . . . . . . . . . .
8 "" . . . . . . . . . . . . . . . . . .
9 "" . . . . . . . . . . . . . . . . . .
10 30 . . . . . . . . . . . . . . . . . .
11 "" . . . . . . . . . . . . . . . . . .
12 Feb 17 60 7 26 8 101 202 153 47 . . . . . . . . .
13 "" 21 64 7 28 9 116 225 177 56 . . . . . . . . .
14 "" 31 70 8 31 13 128 246 193 66 . . . . . . . . .
15 "" 42 74 8 34 15 142 270 208 74 . . . . . . . . .
16 05 54 81 10 34 17 165 298 233 81 . . . . . . . . .
17 "" 59 89 10 40 18 173 343 254 90 . . . . . . . . .
18 "" 65 94 10 43 18 184 379 269 96 . . . . . . . . .
19 "" 69 99 10 45 18 195 407 281 104 . . . . . . . . .
20 "" 78 105 10 45 18 208 435 292 115 . . . . . . . . .
21 10 80 107 10 49 18 213 459 295 119 . . . . . . . . .
22 "" 81 108 10 53 18 219 486 302 122 . . . . . . . . .
23 "" 83 111 10 58 18 225 497 306 124 1 0.00001 0.00001 0.00001 0.00001 0.00001 1 1 0.00001
24 "" 84 116 10 64 18 229 506 313 126 . . . . . . . . .
25 "" 86 117 10 67 18 230 519 318 126 1 1 0.00001 0.00001 0.00001 0.00001 2 1 0.00001
26 15 88 119 10 70 18 232 530 326 127 1 1 0.00001 0.00001 0.00001 0.00001 2 1 0.00001
27 "" 89 120 10 70 18 236 537 328 128 1 1 0.00001 0.00001 0.00001 0.00001 2 1 0.00001
28 "" 89 121 10 70 18 240 541 331 129 1 1 0.00001 0.00001 0.00001 0.00001 2 1 0.00001
29 "" 89 121 10 70 18 240 543 333 130 1 1 0.00001 0.00001 0.00001 0.00001 2 1 0.00001
30 "" 90 121 10 71 18 242 544 333 131 1 1 0.00001 0.00001 0.00001 0.00001 3 1 0.00001
31 20 91 121 10 71 18 245 546 333 131 2 1 0.00001 0.00001 0.00001 1 4 2 0.00001
32 "" 91 121 10 71 18 245 748 334 132 1 1 0.00001 0.00001 0.00001 1 4 2 0.00001
33 "" 91 121 10 71 18 245 750 334 132 1 1 0.00001 0.00001 0.00001 1 4 3 0.00001
34 "" 91 121 10 71 18 245 754 335 132 1 1 0.00001 0.00001 0.00001 1 4 3 0.00001
35 "" 93 121 10 71 18 245 755 335 132 1 1 0.00001 0.00001 0.00001 1 4 3 0.00001
36 25 93 121 10 71 18 245 755 335 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
37 "" 93 121 10 71 18 245 756 336 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
38 "" 93 121 10 72 18 245 756 337 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
39 "" 93 121 10 72 18 245 756 337 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
40 "" 93 121 10 73 18 245 756 337 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
41 Mar 93 122 10 73 18 245 756 337 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
42 "" 93 122 10 74 18 245 758 337 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
43 "" 93 125 10 74 18 245 758 338 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
44 "" 93 125 10 75 18 245 758 338 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
45 05 93 125 10 75 18 245 758 338 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
46 "" 93 125 10 75 18 245 758 339 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
47 "" 93 125 10 75 18 245 758 342 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
48 "" 93 125 10 75 18 245 758 342 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
49 "" 93 125 10 75 18 245 758 342 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
50 10 93 125 10 75 18 245 758 342 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
51 "" 93 125 10 75 18 245 759 344 133 1 1 0.00001 0.00001 0.00001 1 6 3 0.00001
52 "" 93 125 10 75 18 245 760 344 133 1 1 0.00001 0.00001 0.00001 2 6 3 0.00001
53 "" 93 125 10 75 18 245 760 346 133 1 1 0.00001 0.00001 0.00001 2 7 3 0.00001
54 "" 93 125 10 75 18 245 760 350 133 1 1 0.00001 0.00001 0.00001 2 7 3 0.00001
55 15 93 125 10 75 18 245 760 353 133 1 1 0.00001 0.00001 0.00001 2 7 3 0.00001
56 "" . . . . . . . . . . . . . . . . . .
57 "" . . . . . . . . . . . . . . . . . .
58 "" . . . . . . . . . . . . . . . . . .
59 "" . . . . . . . . . . . . . . . . . .
60 20 . . . . . . . . . . . . . . . . . .
EOF
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 2 dt 2
replot $data using 0:4 with lines lc 1 lw 2 dt 2
replot $data using 0:5 with lines lc 7 lw 2 dt 2
replot $data using 0:6 with lines lc 4 lw 2 dt 2
replot $data using 0:7 with lines lc 5 lw 2 dt 2
replot $data using 0:8 with lines lc 2 lw 2 dt 2
replot $data using 0:9 with lines lc 6 lw 2 dt 2
replot $data using 0:10 with lines lc 3 lw 2 dt 2
replot $data using 0:11 with lines lc 0 lw 2 dt 2
# plot field 'deaths'
replot $data using 0:12 with lines lc 8
replot $data using 0:13 with lines lc 1
replot $data using 0:14 with lines lc 7
replot $data using 0:15 with lines lc 4
replot $data using 0:16 with lines lc 5
replot $data using 0:17 with lines lc 2
replot $data using 0:18 with lines lc 6
replot $data using 0:19 with lines lc 3
replot $data using 0:20 with lines lc 0
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
pause -1
|
Gnuplot source code "WHO_Covid_rn_confirmed,deaths_closeup_China04.gp"
|
|---|
set key autotitle columnhead
set key top left
set termoption noenhanced
set xrange [-1:60]
set logscale y
set logscale y2
set yrange [1:1432265]
set y2range [1:1432265]
set grid xtics y2tics
unset ytics
set y2tics
set format y2 "%.0f"
set title "confirmed,deaths closeup_China by name [04]"
$data <<EOF
rep day Sichuan Taipei Tianjin Unspecified Xinjiang Xizang Yunnan Zhejiang Sichuan Taipei Tianjin Unspecified Xinjiang Xizang Yunnan Zhejiang
1 Jan . . . . . . . . . . . . . . . .
2 "" 1 1 2 . . . 1 5 . . . . . . . .
3 "" 2 1 2 131 . . 1 5 . . . . . . . .
- - - - - - - - - - - - - - - - - -
4 "" 2 1 2 384 . . 1 5 . . . . . . . .
5 25 . . . . . . . . . . . . . . . .
6 "" . . . . . . . . . . . . . . . .
7 "" . . . . . . . . . . . . . . . .
8 "" . . . . . . . . . . . . . . . .
9 "" . . . . . . . . . . . . . . . .
10 30 . . . . . . . . . . . . . . . .
11 "" . . . . . . . . . . . . . . . .
12 Feb 207 10 34 . 18 1 91 599 . . . . . . . .
13 "" 236 10 40 . 23 1 99 661 . . . . . . . .
14 "" 254 10 49 . 24 1 109 724 . . . . . . . .
15 "" 282 10 63 . 29 1 117 829 . . . . . . . .
16 05 301 11 67 . 32 1 122 895 . . . . . . . .
17 "" 321 11 70 . 36 1 128 954 . . . . . . . .
18 "" 344 16 79 . 39 1 135 1006 . . . . . . . .
19 "" 363 16 81 . 42 1 138 1048 . . . . . . . .
20 "" 386 17 88 . 45 1 140 1075 . . . . . . . .
21 10 405 18 91 . 49 1 141 1104 . . . . . . . .
22 "" 417 18 96 . 55 1 149 1117 . . . . . . . .
23 "" 436 18 106 . 59 1 154 1131 1 0.00001 2 . 0.00001 0.00001 0.00001 0.00001
24 "" 451 18 112 . 63 1 155 1145 . . . . . . . .
25 "" 463 18 119 . 65 1 162 1155 1 0.00001 3 . 1 0.00001 0.00001 0.00001
26 15 470 18 120 . 70 1 168 1162 1 0.00001 3 . 1 0.00001 0.00001 0.00001
27 "" 481 18 122 . 71 1 169 1167 3 0.00001 3 . 1 0.00001 0.00001 0.00001
28 "" 495 20 124 . 73 1 171 1171 3 1 3 . 1 0.00001 0.00001 0.00001
29 "" 508 22 125 . 76 1 172 1172 3 1 3 . 1 0.00001 0.00001 0.00001
30 "" 514 23 128 . 76 1 173 1173 3 1 3 . 1 0.00001 0.00001 0.00001
31 20 520 24 130 . 76 1 172 1175 3 1 3 . 1 0.00001 1 0.00001
32 "" 525 26 131 . 76 1 174 1203 3 1 3 . 1 0.00001 2 1
33 "" 526 26 133 . 76 1 174 1205 3 1 3 . 2 0.00001 2 1
34 "" 526 26 135 . 76 1 174 1205 3 1 3 . 2 0.00001 2 1
35 "" 527 28 135 . 76 1 174 1205 3 1 3 . 2 0.00001 2 1
36 25 529 31 135 . 76 1 174 1205 3 1 3 . 2 0.00001 2 1
37 "" 531 32 135 . 76 1 174 1205 3 1 3 . 2 0.00001 2 1
38 "" 534 32 135 . 76 1 174 1205 3 1 3 . 2 0.00001 2 1
39 "" 538 34 136 . 76 1 174 1205 3 1 3 . 3 0.00001 2 1
40 "" 538 39 136 . 76 1 174 1205 3 1 3 . 3 0.00001 2 1
41 Mar 538 39 136 . 76 1 174 1205 3 1 3 . 3 0.00001 2 1
42 "" 538 40 136 . 76 1 174 1206 3 1 3 . 3 0.00001 2 1
43 "" 538 42 136 . 76 1 174 1213 3 1 3 . 3 0.00001 2 1
44 "" 538 42 136 . 76 1 174 1213 3 1 3 . 3 0.00001 2 1
45 05 539 42 136 . 76 1 174 1215 3 1 3 . 3 0.00001 2 1
46 "" 539 45 136 . 76 1 174 1215 3 1 3 . 3 0.00001 2 1
47 "" 539 45 136 . 76 1 174 1215 3 1 3 . 3 0.00001 2 1
48 "" 539 45 136 . 76 1 174 1215 3 1 3 . 3 0.00001 2 1
49 "" 539 45 136 . 76 1 174 1215 3 1 3 . 3 0.00001 2 1
50 10 539 45 136 . 76 1 174 1215 3 1 3 . 3 0.00001 2 1
51 "" 539 47 136 . 76 1 174 1215 3 1 3 . 3 0.00001 2 1
52 "" 539 49 136 . 76 1 174 1215 3 1 3 . 3 0.00001 2 1
53 "" 539 49 136 . 76 1 174 1215 3 1 3 . 3 0.00001 2 1
54 "" 539 50 136 . 76 1 174 1227 3 1 3 . 3 0.00001 2 1
55 15 539 53 136 . 76 1 174 1231 3 1 3 . 3 0.00001 2 1
56 "" . . . . . . . . . . . . . . . .
57 "" . . . . . . . . . . . . . . . .
58 "" . . . . . . . . . . . . . . . .
59 "" . . . . . . . . . . . . . . . .
60 20 . . . . . . . . . . . . . . . .
EOF
# plot field 'confirmed'
plot $data using 0:3 with lines lc 8 lw 2 dt 2
replot $data using 0:4 with lines lc 1 lw 2 dt 2
replot $data using 0:5 with lines lc 7 lw 2 dt 2
replot $data using 0:6 with lines lc 4 lw 2 dt 2
replot $data using 0:7 with lines lc 5 lw 2 dt 2
replot $data using 0:8 with lines lc 2 lw 2 dt 2
replot $data using 0:9 with lines lc 6 lw 2 dt 2
replot $data using 0:10 with lines lc 3 lw 2 dt 2
# plot field 'deaths'
replot $data using 0:11 with lines lc 8
replot $data using 0:12 with lines lc 1
replot $data using 0:13 with lines lc 7
replot $data using 0:14 with lines lc 4
replot $data using 0:15 with lines lc 5
replot $data using 0:16 with lines lc 2
replot $data using 0:17 with lines lc 6
replot $data using 0:18 with lines lc 3
# plot hor axis calendar
replot $data using 0:(1):xticlabel(2) with lines
pause -1
|
Available country diagrams Jan 2020 - Jun 2021 (weekly)
editFile:WHO_Covid_C_Afghanistan.pdf * File:WHO_Covid_C_Albania.pdf * File:WHO_Covid_C_Algeria.pdf * File:WHO_Covid_C_Andorra.pdf * File:WHO_Covid_C_Angola.pdf * File:WHO_Covid_C_Anhui.pdf * File:WHO_Covid_C_Antigua_Barbuda.pdf * File:WHO_Covid_C_Argentina.pdf * File:WHO_Covid_C_Armenia.pdf * File:WHO_Covid_C_Aruba.pdf * File:WHO_Covid_C_Australia.pdf * File:WHO_Covid_C_Austria.pdf * File:WHO_Covid_C_Azerbaijan.pdf * File:WHO_Covid_C_Bahamas.pdf * File:WHO_Covid_C_Bahrain.pdf * File:WHO_Covid_C_Bangladesh.pdf * File:WHO_Covid_C_Barbados.pdf * File:WHO_Covid_C_Beijing.pdf * File:WHO_Covid_C_Belarus.pdf * File:WHO_Covid_C_Belgium.pdf * File:WHO_Covid_C_Belize.pdf * File:WHO_Covid_C_Benin.pdf * File:WHO_Covid_C_Bermuda.pdf * File:WHO_Covid_C_Bhutan.pdf * File:WHO_Covid_C_Bolivia.pdf * File:WHO_Covid_C_Bosnia_Herzegovina.pdf * File:WHO_Covid_C_Botswana.pdf * File:WHO_Covid_C_Brazil.pdf * File:WHO_Covid_C_Brunei_Darussalam.pdf * File:WHO_Covid_C_Bulgaria.pdf * File:WHO_Covid_C_Burkina_Faso.pdf * File:WHO_Covid_C_Burundi.pdf * File:WHO_Covid_C_Cabo_Verde.pdf * File:WHO_Covid_C_Cambodia.pdf * File:WHO_Covid_C_Cameroon.pdf * File:WHO_Covid_C_Canada.pdf * File:WHO_Covid_C_Cayman_Is.pdf * File:WHO_Covid_C_Central_African_R.pdf * File:WHO_Covid_C_Chad.pdf * File:WHO_Covid_C_Chile.pdf * File:WHO_Covid_C_China.pdf * File:WHO_Covid_C_Chongqing.pdf * File:WHO_Covid_C_Colombia.pdf * File:WHO_Covid_C_Comoros.pdf * File:WHO_Covid_C_Congo.pdf * File:WHO_Covid_C_Costa_Rica.pdf * File:WHO_Covid_C_Cote_dIvoire.pdf * File:WHO_Covid_C_Croatia.pdf * File:WHO_Covid_C_Cuba.pdf * File:WHO_Covid_C_Curacao.pdf * File:WHO_Covid_C_Cyprus.pdf * File:WHO_Covid_C_Czechia.pdf * File:WHO_Covid_C_DR_Congo.pdf * File:WHO_Covid_C_Denmark.pdf * File:WHO_Covid_C_Diamond_Princess.pdf * File:WHO_Covid_C_Djibouti.pdf * File:WHO_Covid_C_Dominica.pdf * File:WHO_Covid_C_Dominican_Republic.pdf * File:WHO_Covid_C_Ecuador.pdf * File:WHO_Covid_C_Egypt.pdf * File:WHO_Covid_C_El_Salvador.pdf * File:WHO_Covid_C_Equatorial_Guinea.pdf * File:WHO_Covid_C_Eritrea.pdf * File:WHO_Covid_C_Estonia.pdf * File:WHO_Covid_C_Eswatini.pdf * File:WHO_Covid_C_Ethiopia.pdf * File:WHO_Covid_C_Falkland_Is.pdf * File:WHO_Covid_C_Faroe_Is.pdf * File:WHO_Covid_C_Fiji.pdf * File:WHO_Covid_C_Finland.pdf * File:WHO_Covid_C_Fr_Guiana.pdf * File:WHO_Covid_C_Fr_Polynesia.pdf * File:WHO_Covid_C_France.pdf * File:WHO_Covid_C_Fujian.pdf * File:WHO_Covid_C_Gabon.pdf * File:WHO_Covid_C_Gambia.pdf * File:WHO_Covid_C_Gansu.pdf * File:WHO_Covid_C_Georgia.pdf * File:WHO_Covid_C_Germany.pdf * File:WHO_Covid_C_Ghana.pdf * File:WHO_Covid_C_Gibraltar.pdf * File:WHO_Covid_C_Greece.pdf * File:WHO_Covid_C_Greenland.pdf * File:WHO_Covid_C_Grenada.pdf * File:WHO_Covid_C_Guadeloupe.pdf * File:WHO_Covid_C_Guam.pdf * File:WHO_Covid_C_Guangdong.pdf * File:WHO_Covid_C_Guangxi.pdf * File:WHO_Covid_C_Guatemala.pdf * File:WHO_Covid_C_Guernsey.pdf * File:WHO_Covid_C_Guinea.pdf * File:WHO_Covid_C_Guinea_Bissau.pdf * File:WHO_Covid_C_Guizhou.pdf * File:WHO_Covid_C_Guyana.pdf * File:WHO_Covid_C_Hainan.pdf * File:WHO_Covid_C_Haiti.pdf * File:WHO_Covid_C_Hebei.pdf * File:WHO_Covid_C_Heilongjiang.pdf * File:WHO_Covid_C_Henan.pdf * File:WHO_Covid_C_Holy_See.pdf * File:WHO_Covid_C_Honduras.pdf * File:WHO_Covid_C_Hong_Kong.pdf * File:WHO_Covid_C_Hubei.pdf * File:WHO_Covid_C_Hunan.pdf * File:WHO_Covid_C_Hungary.pdf * File:WHO_Covid_C_Iceland.pdf * File:WHO_Covid_C_India.pdf * File:WHO_Covid_C_Indonesia.pdf * File:WHO_Covid_C_Inner_Mongolia.pdf * File:WHO_Covid_C_Iran.pdf * File:WHO_Covid_C_Iraq.pdf * File:WHO_Covid_C_Ireland.pdf * File:WHO_Covid_C_Isle_of_Man.pdf * File:WHO_Covid_C_Israel.pdf * File:WHO_Covid_C_Italy.pdf * File:WHO_Covid_C_Jamaica.pdf * File:WHO_Covid_C_Japan.pdf * File:WHO_Covid_C_Jersey.pdf * File:WHO_Covid_C_Jiangsu.pdf * File:WHO_Covid_C_Jiangxi.pdf * File:WHO_Covid_C_Jilin.pdf * File:WHO_Covid_C_Jordan.pdf * File:WHO_Covid_C_Kazakhstan.pdf * File:WHO_Covid_C_Kenya.pdf * File:WHO_Covid_C_Kosovo.pdf * File:WHO_Covid_C_Kuwait.pdf * File:WHO_Covid_C_Kyrgyzstan.pdf * File:WHO_Covid_C_Lao_PDR.pdf * File:WHO_Covid_C_Latvia.pdf * File:WHO_Covid_C_Lebanon.pdf * File:WHO_Covid_C_Liaoning.pdf * File:WHO_Covid_C_Liberia.pdf * File:WHO_Covid_C_Libya.pdf * File:WHO_Covid_C_Liechtenstein.pdf * File:WHO_Covid_C_Lithuania.pdf * File:WHO_Covid_C_Luxembourg.pdf * File:WHO_Covid_C_Macao.pdf * File:WHO_Covid_C_Madagascar.pdf * File:WHO_Covid_C_Malawi.pdf * File:WHO_Covid_C_Malaysia.pdf * File:WHO_Covid_C_Maldives.pdf * File:WHO_Covid_C_Mali.pdf * File:WHO_Covid_C_Malta.pdf * File:WHO_Covid_C_Martinique.pdf * File:WHO_Covid_C_Mauritania.pdf * File:WHO_Covid_C_Mauritius.pdf * File:WHO_Covid_C_Mayotte.pdf * File:WHO_Covid_C_Mexico.pdf * File:WHO_Covid_C_Moldova.pdf * File:WHO_Covid_C_Monaco.pdf * File:WHO_Covid_C_Mongolia.pdf * File:WHO_Covid_C_Montenegro.pdf * File:WHO_Covid_C_Montserrat.pdf * File:WHO_Covid_C_Morocco.pdf * File:WHO_Covid_C_Mozambique.pdf * File:WHO_Covid_C_Myanmar.pdf * File:WHO_Covid_C_N_Macedonia.pdf * File:WHO_Covid_C_N_Mariana_Is.pdf * File:WHO_Covid_C_Namibia.pdf * File:WHO_Covid_C_Nepal.pdf * File:WHO_Covid_C_Netherlands.pdf * File:WHO_Covid_C_New_Caledonia.pdf * File:WHO_Covid_C_New_Zealand.pdf * File:WHO_Covid_C_Nicaragua.pdf * File:WHO_Covid_C_Niger.pdf * File:WHO_Covid_C_Nigeria.pdf * File:WHO_Covid_C_Ningxia.pdf * File:WHO_Covid_C_Norway.pdf * File:WHO_Covid_C_Oman.pdf * File:WHO_Covid_C_Pakistan.pdf * File:WHO_Covid_C_Palestine.pdf * File:WHO_Covid_C_Panama.pdf * File:WHO_Covid_C_Paraguay.pdf * File:WHO_Covid_C_Peru.pdf * File:WHO_Covid_C_Philippines.pdf * File:WHO_Covid_C_Poland.pdf * File:WHO_Covid_C_Portugal.pdf * File:WHO_Covid_C_Puerto_Rico.pdf * File:WHO_Covid_C_Qatar.pdf * File:WHO_Covid_C_Qinghai.pdf * File:WHO_Covid_C_R_Korea.pdf * File:WHO_Covid_C_Reunion.pdf * File:WHO_Covid_C_Romania.pdf * File:WHO_Covid_C_Russia.pdf * File:WHO_Covid_C_Rwanda.pdf * File:WHO_Covid_C_San_Marino.pdf * File:WHO_Covid_C_Sao_Tome_Principe.pdf * File:WHO_Covid_C_Saudi_Arabia.pdf * File:WHO_Covid_C_Senegal.pdf * File:WHO_Covid_C_Serbia.pdf * File:WHO_Covid_C_Seychelles.pdf * File:WHO_Covid_C_Shaanxi.pdf * File:WHO_Covid_C_Shandong.pdf * File:WHO_Covid_C_Shanghai.pdf * File:WHO_Covid_C_Shanxi.pdf * File:WHO_Covid_C_Sichuan.pdf * File:WHO_Covid_C_Sierra_Leone.pdf * File:WHO_Covid_C_Singapore.pdf * File:WHO_Covid_C_Slovakia.pdf * File:WHO_Covid_C_Slovenia.pdf * File:WHO_Covid_C_Somalia.pdf * File:WHO_Covid_C_South_Africa.pdf * File:WHO_Covid_C_South_Sudan.pdf * File:WHO_Covid_C_Spain.pdf * File:WHO_Covid_C_Sri_Lanka.pdf * File:WHO_Covid_C_St_Kitts_Nevis.pdf * File:WHO_Covid_C_St_Lucia.pdf * File:WHO_Covid_C_St_Maarten.pdf * File:WHO_Covid_C_St_Martin.pdf * File:WHO_Covid_C_St_Vincent_Grenadines.pdf * File:WHO_Covid_C_Sudan.pdf * File:WHO_Covid_C_Suriname.pdf * File:WHO_Covid_C_Sweden.pdf * File:WHO_Covid_C_Switzerland.pdf * File:WHO_Covid_C_Syria.pdf * File:WHO_Covid_C_Taipei.pdf * File:WHO_Covid_C_Tajikistan.pdf * File:WHO_Covid_C_Tanzania.pdf * File:WHO_Covid_C_Thailand.pdf * File:WHO_Covid_C_Tianjin.pdf * File:WHO_Covid_C_Timor_Leste.pdf * File:WHO_Covid_C_Togo.pdf * File:WHO_Covid_C_Trinidad_Tobago.pdf * File:WHO_Covid_C_Tunisia.pdf * File:WHO_Covid_C_Turkey.pdf * File:WHO_Covid_C_Turks_Caicos_Is.pdf * File:WHO_Covid_C_UAE.pdf * File:WHO_Covid_C_UK.pdf * File:WHO_Covid_C_USA.pdf * File:WHO_Covid_C_US_Virgin_Is.pdf * File:WHO_Covid_C_Uganda.pdf * File:WHO_Covid_C_Ukraine.pdf * File:WHO_Covid_C_Unspecified.pdf * File:WHO_Covid_C_Uruguay.pdf * File:WHO_Covid_C_Uzbekistan.pdf * File:WHO_Covid_C_Venezuela.pdf * File:WHO_Covid_C_Vietnam.pdf * File:WHO_Covid_C_Xinjiang.pdf * File:WHO_Covid_C_Yemen.pdf * File:WHO_Covid_C_Yunnan.pdf * File:WHO_Covid_C_Zambia.pdf * File:WHO_Covid_C_Zhejiang.pdf * File:WHO_Covid_C_Zimbabwe.pdf
Svg
editFile:WHO Covid C Afghanistan svg.svg * File:WHO Covid C Azerbaijan svg.svg * File:WHO Covid C Cote dIvoire svg.svg * File:WHO Covid C Palestine svg.svg * File:WHO Covid C Zimbabwe svg.svg
Available cumulated diagrams Jan-Aug 2020 (daily)
editFile:WHO Covid 2020 Jan-Aug daily c confirmed,deaths01.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths02.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths03.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths04.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths05.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths06.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths07.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths08.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths09.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths10.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths11.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths12.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths13.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths14.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths15.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths16.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths17.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths18.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths19.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths20.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths21.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths22.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths23.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths24.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths25.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths26.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths27.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths28.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths29.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths30.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths31.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths32.pdf
Available incremental diagrams Jan-Aug 2020 (daily)
editFile:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths01.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths02.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths03.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths04.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths05.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths06.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths07.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths08.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths09.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths10.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths11.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths12.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths13.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths14.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths15.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths16.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths17.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths18.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths19.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths20.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths21.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths22.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths23.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths24.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths25.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths26.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths27.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths28.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths29.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths30.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths31.pdf * File:WHO Covid 2020 Jan-Aug daily c -~confirmed,-~deaths32.pdf
Available per capita diagrams Jan-Aug 2020 (daily)
editFile:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths01.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths02.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths03.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths04.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths05.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths06.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths07.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths08.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths09.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths10.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths11.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths12.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths13.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths14.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths15.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths16.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths17.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths18.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths19.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths20.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths21.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths22.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths23.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths24.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths25.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths26.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths27.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths28.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths29.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths30.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths31.pdf * File:WHO Covid 2020 Jan-Aug daily c @confirmed,@deaths32.pdf
Available cumulated diagrams Jan-Aug 2020 (daily, linear scale)
editFile:WHO Covid 2020 Jan-Aug daily c confirmed,deaths lin01.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths lin02.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths lin03.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths lin04.pdf * File:WHO Covid 2020 Jan-Aug daily c confirmed,deaths lin05.pdf
Available country diagrams Jan-Aug 2020 (daily)
editFile:WHO_Covid_2020_Jan-Aug_daily_C_Afghanistan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Albania.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Algeria.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Andorra.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Angola.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Anhui.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Antigua_Barbuda.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Argentina.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Armenia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Aruba.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Australia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Austria.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Azerbaijan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Bahamas.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Bahrain.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Bangladesh.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Barbados.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Beijing.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Belarus.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Belgium.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Belize.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Benin.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Bermuda.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Bhutan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Bolivia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Bosnia_Herzegovina.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Botswana.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Brazil.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Brunei_Darussalam.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Bulgaria.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Burkina_Faso.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Burundi.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Cabo_Verde.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Cambodia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Cameroon.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Canada.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Cayman_Is.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Central_African_R.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Chad.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Chile.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_China.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Chongqing.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Colombia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Comoros.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Congo.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Costa_Rica.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Cote_dIvoire.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Croatia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Cuba.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Curacao.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Cyprus.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Czechia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_DR_Congo.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Denmark.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Diamond_Princess.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Djibouti.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Dominica.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Dominican_Republic.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Ecuador.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Egypt.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_El_Salvador.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Equatorial_Guinea.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Eritrea.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Estonia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Eswatini.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Ethiopia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Falkland_Is.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Faroe_Is.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Fiji.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Finland.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Fr_Guiana.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Fr_Polynesia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_France.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Fujian.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Gabon.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Gambia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Gansu.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Georgia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Germany.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Ghana.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Gibraltar.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Greece.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Greenland.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Grenada.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Guadeloupe.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Guam.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Guangdong.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Guangxi.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Guatemala.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Guernsey.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Guinea.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Guinea_Bissau.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Guizhou.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Guyana.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Hainan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Haiti.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Hebei.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Heilongjiang.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Henan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Holy_See.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Honduras.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Hong_Kong.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Hubei.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Hunan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Hungary.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Iceland.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_India.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Indonesia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Inner_Mongolia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Iran.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Iraq.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Ireland.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Isle_of_Man.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Israel.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Italy.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Jamaica.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Japan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Jersey.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Jiangsu.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Jiangxi.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Jilin.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Jordan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Kazakhstan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Kenya.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Kosovo.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Kuwait.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Kyrgyzstan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Lao_PDR.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Latvia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Lebanon.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Liaoning.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Liberia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Libya.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Liechtenstein.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Lithuania.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Luxembourg.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Macao.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Madagascar.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Malawi.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Malaysia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Maldives.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Mali.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Malta.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Martinique.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Mauritania.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Mauritius.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Mayotte.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Mexico.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Moldova.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Monaco.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Mongolia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Montenegro.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Montserrat.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Morocco.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Mozambique.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Myanmar.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_N_Macedonia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_N_Mariana_Is.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Namibia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Nepal.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Netherlands.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_New_Caledonia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_New_Zealand.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Nicaragua.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Niger.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Nigeria.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Ningxia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Norway.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Oman.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Pakistan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Palestine.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Panama.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Paraguay.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Peru.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Philippines.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Poland.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Portugal.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Puerto_Rico.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Qatar.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Qinghai.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_R_Korea.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Reunion.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Romania.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Russia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Rwanda.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_San_Marino.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Sao_Tome_Principe.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Saudi_Arabia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Senegal.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Serbia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Seychelles.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Shaanxi.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Shandong.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Shanghai.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Shanxi.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Sichuan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Sierra_Leone.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Singapore.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Slovakia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Slovenia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Somalia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_South_Africa.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_South_Sudan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Spain.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Sri_Lanka.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_St_Kitts_Nevis.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_St_Lucia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_St_Maarten.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_St_Martin.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_St_Vincent_Grenadines.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Sudan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Suriname.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Sweden.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Switzerland.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Syria.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Taipei.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Tajikistan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Tanzania.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Thailand.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Tianjin.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Timor_Leste.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Togo.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Trinidad_Tobago.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Tunisia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Turkey.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Turks_Caicos_Is.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_UAE.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_UK.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_USA.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_US_Virgin_Is.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Uganda.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Ukraine.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Unspecified.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Uruguay.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Uzbekistan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Venezuela.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Vietnam.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Xinjiang.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Yemen.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Yunnan.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Zambia.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Zhejiang.pdf * File:WHO_Covid_2020_Jan-Aug_daily_C_Zimbabwe.pdf