responses(rows for person and columns for items)
:RECOVERY+Collaborative+Group 3611 1 60.09 Massachusetts 1261.807107 4 71.04 New+York 681.4259624 7 69.07 Italy 884.3367613 3 51.51 Beijing 5210.985548 3 125.03 Shandong 150.6852043 1 12.28 Japan 1539.354578 4 78.47 Switzerland 1639.163027 1 40.49 Guangdong 7148.019279 1 84.55 Hong+Kong 2336.317587 1 48.34 Maryland 2107.483348 1 45.91 Montana 2227.597884 1 47.2 New+Jersey 110.9055682 1 10.53 California 707.3429053 5 59.47 Georgia 775.0057135 1 27.84 Washington 2219.187012 1 47.11 Germany 926.0566189 6 74.54 Henan 1148.34597 1 33.89 Tianjin 21.03269011 1 4.59 U.K 2365.655968 3 84.24 Australia 1248 1 35.33 Louisiana 412.2882384 1 20.3 Hubei 5285.796508 3 125.93 Washington+State+2019-nCoV+Case+Investigation+Team 2575 1 50.74 American+Heart+Association+Council+on+Epidemiology+and+Prevention+Statistics+Committee+and+Stroke+Statistics+Subcommittee 1452 3 66 Zhejiang 6.491012923 1 2.55 Shanghai 715.3547676 1 26.75 Virginia 321.8411146 1 17.94 France 744.6380183 1 27.29 Denmark 0.000413806 2 0.03 Canada 915.9426897 1 30.26 PARTNER+3+Investigators 597 1 24.43 ESC+Scientific+Document+Group 1409 7 99.31 GBD+2017+Disease+and+Injury+Incidence+and+Prevalence+Collaborators 2236 1 47.29 GBD+2017+Causes+of+Death+Collaborators 1543 1 39.28 DEFUSE+3+Investigators 975 1 31.22 Pennsylvania 1191.567155 2 48.82 Texas 780.6688902 3 48.39 NCD+Risk+Factor+Collaboration+(NCD-RisC) 1105 3 57.58 Israel 0.038484325 1 0.2 Michigan 0.91420107 1 0.96 Norway 2.36456E-07 1 0 Florida 738.3168127 1 27.17 GBD+2016+Disease+and+Injury+Incidence+and+Prevalence+Collaborators 1882 1 43.38 GBD+2016+Causes+of+Death+Collaborators 1495 1 38.67 Astralia 1102.468307 1 33.2 GBD+2015+Obesity+Collaborators 1523 1 39.03 Spain 1022.535845 1 31.98 Oregon 15.49095176 1 3.94 Taiwan 2.096472344 1 1.45 South+Korea 72.10104534 1 8.49 Singapore 376.1699151 1 19.4 Illinois 580.269285 1 24.09 Netherlands 195.9909614 1 14 Ohio 340.6771915 1 18.46 Poland 0.123723661 1 0.35 Minnesota 1.32057671 1 1.15 Brazil 898.2840961 1 29.97 Chile 0.00120421 1 0.03 Turkey 1.52687E-05 1 0 India 0.301340743 1 0.55 Kansas 1448 1 38.05 Missouri 712.4000877 1 26.69 North+Carolina 9.11467692 1 3.02 Kentucky 1.26584E-10 1 0 GBD+2015+Risk+Factors+Collaborators 1193 1 34.54 GBD+2015+Disease+and+Injury+Incidence+and+Prevalence+Collaborators 2036 1 45.12 GBD+2015+Mortality+and+Causes+of+Death+Collaborators 2004 1 44.77 Sweden 930.6720971 1 30.51 New+Zealand 1239 1 35.2 District+of+Columbia 0.797764363 1 0.89 Connecticut 1448.188208 1 38.06 Tennessee 1.127272818 1 1.06 Ireland 0.040148827 1 0.2 Rhode+Island 0.020646722 1 0.14 Belgium 5.11781E-05 1 0.01 American+Heart+Association+Statistics+Committee;+Stroke+Statistics+Subcommittee 2692 1 51.88
For columns(e.g.,name, citation, publication, and x-index) with blanks from MS Excel using copy and pasted methods. If three columns exist, the bubble size is equal
X-axis: Y-axis: Move forward on X: Move forward on Y: Bubble: Wider on X: Wider on Y: Bubblesize:


27.1694527 -200 -68.02897986 -200 27.67208952 -190 -67.5292349 -190 28.17472635 -180 -67.02948993 -180 28.67736317 -170 -66.52974497 -170 29.18 -160 -66.03 -160 29.68263683 -150 -65.53025503 -150 30.37828245 -140 -62.5118935 -140 31.0739925 -130 -57.49346235 -130 31.7697854 -120 -54.47494169 -120 32.46568876 -110 -47.45630169 -110 33.16172099 -100 -41.43752246 -100 33.85793733 -90 -35.41854432 -90 34.5544022 -80 -29.39929766 -80 35.25120765 -70 -23.37968303 -70 35.948547 -60 -17.35949157 -60 36.64672401 -50 -11.3383951 -50 37.346337 -40 -5.315747176 -40 38.04879436 -30 0.709973821 -30 41.63834157 -20 8.758146296 -20 45.7908829 -10 9.493207933 -10 50.8059296 0 11.02524267 0 53.80846377 10 10.69767351 10 57.9761373 20 11.44671761 20 62.1036343 30 12.15863776 30 66.22185672 40 12.861988 40 69.33648289 50 13.56201523 50 72.44934578 60 14.26041316 60 74.56121248 70 14.95789058 70 76.67245158 80 15.65478809 80 78.9 90 16.35130819 90 80.52754842 100 17.04757054 100 82.35509683 110 17.7436396 110 83.18264525 120 18.43956137 120 84.41019367 130 19.13537268 130 85.43774208 140 19.83110114 140 85.9652905 150 20.52675597 150 86.49283892 160 21 160 86.72038733 170 21.47324403 170 86.94793575 180 21.94648807 180 87.17548416 190 22.4197321 190 87.40303258 200 22.89297613 200
This is used for plot the Kano diagram