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新型コロナの最前線研究を伝える可視化と、
テレビ番組のデータジャーナリズム

 新型コロナの最前線研究を伝える可視化と、
テレビ番組のデータジャーナリズム

Data Visualization and Data journalism for TV programs about front-line research on the COVID-19 pandemic.

This deck was made for Data Visualization Japan Meetup 2020.

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Masaki Yamabe

January 05, 2021
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Transcript

  1. ৽ܕίϩφͷ࠷લઢݚڀΛ఻͑ΔՄࢹԽͱɺ
 ςϨϏ൪૊ͷσʔλδϟʔφϦζϜ %"5"7*46"-*;"5*0/+"1"/ ࠓ೥࿩୊ʹͳͬͨσʔλՄࢹԽίϯςϯπதͷਓू߹ʂ ܚጯେֶେֶӃ੓ࡦɾϝσΟΞݚڀՊɹࢁลਅ޾ !NBTBLJDLɹNZBNBCF!TGDLFJPBDKQ

  2. ʲ͓ಡΈ͍ͩ͘͞ʳ ຊࢿྉʹ͍ͭͯ w ຊࢿྉ͸ɺ%BUB7JTVBMJ[BUJPO+BQBOओ࠵ɺ%BUB7JTVBMJ[BUJPO+BQBO.FFUVQʮࠓ೥࿩୊ʹͳͬ ͨσʔλՄࢹԽίϯςϯπதͷਓू߹ʂʯʢҎԼɺຊൃදʣʹ޲੍͚ͯ࡞ͨ͠εϥΠυࢿྉͰ͢ɻ w ຊࢿྉͷஶ࡞ݖ͸ɺຊࢿྉ಺෦ʹهࡌͷݪஶ࡞ऀ͕ଘࡏ͢ΔҾ༻෦෼Λআ͍ͯɺࢁลਅ޾ʢҎԼɺஶऀʣ ͕༗͍ͯ͠·͢ɻ w ຊࢿྉ͸ɺຊࢿྉ಺෦ʹهࡌͷݪஶ࡞ऀ͕ଘࡏ͢ΔҾ༻෦෼Λআ͍ͯ$SFBUJWF$PNNPOT-JDFOTF

    /$#:4"ʹج͖ͮར༻Λڐ୚͠·͢ɻ w ຊࢿྉͷਖ਼֬ੑɺ׬શੑʹ͍ͭͯ͸ແอূͰ͢ɻຊࢿྉ͔Βੜ͍͔ͨ͡ͳΔଛ֐ʹ͍ͭͯ΋อোͷٛ຿Λ ෛ͍·ͤΜɻ w ຊൃද͸/),ͷঝ୚Λܦͨ΋ͷͰ͕͢ɺຊൃදͷ಺༰͸/),ͷެࣜͳݟղΛࣔ͢΋ͷͰ͸͋Γ·ͤΜɻ w ຊࢿྉͷ௚઀త·ͨ͸ؒ઀తͳར༻ʹࡍͯ͠͸ɺ্ه಺༰Λཧղ͠ಉҙͨ͠΋ͷͱΈͳ͞Ε·͢ɻ w ຊࢿྉʹؔͯ͠ͷ͓໰͍߹Θͤ͸NZBNBCF!TGDLFJPBDKQ·Ͱɻ
  3. ຊ೔ͷτϐοΫ ࣗݾ঺հ /),ͱ੍࡞ͨ͠৽ܕίϩφʹؔ͢Δߴղ૾౓ՄࢹԽ ੍࡞෣୆ཪ ࢼௌޙͷ൓ԠɾධՁ ·ͱΊ

  4. ϓϩϑΟʔϧ  ɹɹ๏੓େֶ޻ֶ෦ిࢠ৘ใֶՊଔ  ɹɹࠃࡍ৘ใՊֶܳज़ΞΧσϛʔଔʢݱɿ*"."4৘ใՊֶܳज़େֶӃେֶӃʣ ʙɹάϥϑΟοΫσβΠφʔͱͯ͠ۈ຿ ʙɹ8FC੍࡞ɾ6*σβΠϯىۀ ʙ ɹɹ౦ژܳज़େɺଟຎඒେɺܚጯେ4'$ɺ৘ใՊֶܳज़େֶӃେֶʹͯඇৗۈߨࢣ ɹɹɹɹɹɹɹɹϓϩάϥϛϯάɾϝσΟΞΞʔτɾσʔλϏδϡΞϥΠζͳͲΛ୲౰

    ʙ ɹɹܚጯٛक़େֶେֶӃ੓ࡦɾϝσΟΞݚڀՊޙظത࢜՝ఔʢ࿬ాྰݚڀࣨʣ  ஶॻ ɹɹࢁลਅ޾ɾݹݎਅ඙ʮσʔλՄࢹԽϓϩάϥϛϯάೖ໳ʯ ल࿨γεςϜ  IUUQTXXXNBTBLJZBNBCFDPN
  5. ීஈͳʹΛ΍͍ͬͯΔ͔ ܚጯେֶ؀ڥ৘ใֶ෦࿬ాྰݚڀࣨ w /BUVSF*OUFSQSFUBUJPOCZ$PEJOHੈքΛղऍ͢ΔͨΊͷίʔσΟϯά w ໨ͷલʹ͋Γͳ͕Β΋஌֮͢Δ͜ͱ͕Ͱ͖ͳ͍ࣗવքͷ৘ใΛՄࢹԽՄௌԽ෺࣭Խ͢Δ͜ͱͰɺ ੈքͷݟํΛ৽͘͢͠ΔϝσΟΞΛ࡞Γग़͢͜ͱɻ ݸਓͷݚڀςʔϚ w ʮՄࢹԽͷΫΦϦΞʯݱ࣮ͷෳࡶ͞Λײੑతʹ఻͑ΔՄࢹԽͷσβΠϯ

    ˞ࠓճͷϓϩδΣΫτ͸/),ͱͷڞಉݚڀͰ͸ͳ͍Ͱ͕͢ɺݚڀͷ಺༰ΛϓϥΫςΟΧϧʹ࣮ફ͍ͯ͠Δ΋ͷͰ͢
  6. Visualization of Air Conditioner ࣨ಺ͷۭؾͷՄࢹԽϓϩδΣΫτ ܚጯٛक़େֶେֶӃ ࿬ాྰݚڀࣨ × μΠΩϯ޻ۀגࣜձࣾ

  7. Visualization of Air Conditioner ࣨ಺ͷۭؾͷՄࢹԽϓϩδΣΫτ ܚጯٛक़େֶେֶӃ ࿬ాྰݚڀࣨ × μΠΩϯ޻ۀגࣜձࣾ .FEJB"NCJUJPO5PLZP

    ձظɿ೥݄೔ʙ೔ ʮඒज़ख஽ʯʢඒज़ग़൛ࣾʣ೥݄߸
  8. ೔ຊՊֶະདྷؗ ৗઃలࣔ Geo Prismʮւ༸େ॥؀γϛϡϨʔγϣϯʯ Akira Wakita Lab., JAMSTEC, Miraikan, Rhizomatiks

    Research
  9. Akira Wakita Lab., JAMSTEC, Miraikan, Rhizomatiks Research

  10. /),ͱ੍࡞ͨ͠৽ܕίϩφͷߴղ૾౓ՄࢹԽ ʮίϩφՒʯΛ,,ͰՄࢹԽ͢ΔίϯςϯπΛ੍࡞ ήϊϜ࣍ݩܥ౷थ ײછϦεΫۭ࣌ؒ%Ϛοϓ

  11. ͶΒ͍ اըͷࠎࢠ w ৽ܕίϩφʹؔ͢ΔϏοάσʔλɾ๲େͳྔͷσʔλΛߴਫ਼ࡉʹՄࢹԽ͠ɺ ઐ໳Ոͱͱ΋ʹಡΈղ͘ɻ w ,ɾ,ͰϦΞϧσʔλΛՄࢹԽ͠ɺײછരൃͷ࣮૾Λඳ͖৽ͨͳؾ͖ͮ΍ ײછͷΠϯύΫτΛಧ͚Δɻ

  12. ์ૹɾల࣮ࣔ੷ʢ೥ʣ w ݄೔ɹ/),#4, ʮϏοάσʔλͰಡΈղ͘৽ܕίϩφ΢Πϧεײછരൃʯ w ݄೔ɹ/),#4, ʮϏοάσʔλΛ̔,ͰՄࢹԽ৽ܕίϩφ΢Πϧεײછരൃʯ w ݄ ೔ɹ೔ຊՊֶະདྷؗʹͯ

    ʮ/),αΠΤϯεελδΞϜʯలࣔ w ݄೔ɹ/),૯߹ /),εϖγϟϧʮ৽ܕίϩφʠୈ೾ʡةػ͸৐Γ੾ΕΔͷ͔ʯ
  13. ٕज़తഎܠ w /),Ͱ͸ʮ/."14ʢ/FXT.BTIVQ"EWBODFE1SPCF4ZTUFNʹߴ౓৘ใར༻ใಓγεςϜʣʯ Λӡ༻͓ͯ͠Γɺऔࡐ΍൪૊੍࡞ʹ͓͚Δ༷ʑͳσʔλͷ෼ੳ΍ՄࢹԽ͕Մೳʹͳ͍ͬͯΔɻ w /."14ͰՄࢹԽɺ$(ͷΧϝϥϫʔΫɺ,,ͷϨϯμϦϯάɺऩ࿥Λ୲͏ w /."14Ͱ࠶ݱ͢Δ%Ϟσϧ΍ՄࢹԽΞϧΰϦζϜͷ։ൃ w ਺஋͔Βࢹ֮ཁૉ΁ͷม׵ʢϏδϡΞϧσβΠϯʣͷݕ౼

    ओʹ1SPDFTTJOHͰ։ൃɻϓϩσϡʔαʔɺऔࡐ୲౰ऀɺઐ໳ݚڀऀɺ$(ΤϯδχΞ΁ఏڙɻ ՄࢹԽϥΠϒϥϦ౳͸࢖༻ͤͣɺ΄΅ϑϧεΫϥονɻ ͜ͷ෦෼Λ୲౰
  14. ήϊϜ3࣍ݩܥ౷थ

  15. QSPKFDU BSUXPSL IUUQTWJNFPDPN

  16. None
  17. BΞσχϯ Dγτγϯ HάΞχϯ V΢ϥγϧ ʜʜBVVDHHVDVVDVVHHBBDHʜʜ $PWJEͷ3/" ໿ສԘجͰߏ੒ ʜʜBVVDHHVDVHDVVHHBBDHʜʜ ૿৩ίϐʔϛεʢมҟʣ͕ൃੜ

  18. ʜʜBVVDHHVDVVDVVHHBBDHʜʜ ʜʜBVVDHHVDVHDVVHHBBDHʜʜ ʜʜBVVDHHVDVHDVVHHBBDHʜʜ ʜʜBVVDHHVDVHDVVHHBBDHʜʜ ʜʜBVVDHHVDVHDVVHHBBDHʜʜ ʜʜBVVDHHVDVHDVVHHBBDHʜʜ ʜʜBVVDHHVDVHDVVHHBBDHʜʜ มҟͷڞ௨෦෼Λݟ͍ͯ͘ͱɺ ΢Πϧεͷܥ౷Λ෼ੳͰ͖Δɻ

  19. None
  20. None
  21. None
  22. (*4"*%ʢ(MPCBMJOJUJBUJWFPOTIBSJOHBMMJOqVFO[BEBUBʣ ΢ΠϧεήϊϜ৘ใΛڞ༗͢ΔࠃࡍతͳऔΓ૊Έ

  23. ήϊϜσʔλͷՄࢹԽ΍෼ੳϦιʔεΛఏڙ͢Δ ΦʔϓϯιʔεϓϩδΣΫτ

  24. None
  25. ࣍ݩԽʹΑͬͯ΢Πϧε֦ࢄͷ࣌ؒతۭؒత޿͕Γ͕දݱͰ͖ͨ

  26. Japan

  27. China

  28. USA

  29. UK

  30. Germany

  31. France

  32. Italy

  33. Spain

  34. Russia

  35. South Korea

  36. Taiwan

  37. Brazil

  38. Canada

  39. South Africa

  40. D614G 4%͔Β(΁มҟ %ʮ෢׽גʯ (ʮԤभגʯ

  41. ˜/),ʮϏοάσʔλΛ̔,ͰՄࢹԽ৽ܕίϩφ΢Πϧεײછരൃʯ

  42. ˜/),ʮϏοάσʔλΛ̔,ͰՄࢹԽ৽ܕίϩφ΢Πϧεײછരൃʯ

  43. εϖΠϯۓٸࣄଶ੍ݶ &6Ҭ಺ೖࠃ੍ݶ ೔ຊۓٸࣄଶએݴ ΠλϦΞશࠃҠಈ੍ݶ ˜/),ʮϏοάσʔλΛ̔,ͰՄࢹԽ৽ܕίϩφ΢Πϧεײછരൃʯ

  44. εϖΠϯۓٸࣄଶ੍ݶ &6Ҭ಺ೖࠃ੍ݶ ೔ຊۓٸࣄଶએݴ ΠλϦΞશࠃҠಈ੍ݶ

  45. %&.0

  46. ՝୊ ਖ਼֬ͳҐஔʹϓϩοτͰ͖ͳ͍ ɹɹ3FHJPO$PVOUSZ-PDBUJPOɹͷ$PVOUSZϨϕϧ ɹɹͦ΋ͦ΋มҟ͕Ͳ͜Ͱى͔ͬͨ͜͸ಛఆͰ͖ͳ͍ɻ࠾औ͞ΕͨҐஔ͔Βਪఆ͢Δɻ ݕࠪ਺ʹΑͬͯใࠂ਺ʹ͕ࠩग़Δɻมҟ͕গͳ͍ʢଟ͍ʣΑ͏ʹݟ͑Δɻ

  47. ϦεΫۭ࣌ؒ3DϚοϓ

  48. None
  49. ۭ࣌ؒΧʔωϧີ౓ਪఆͷࢹ֮Խ ౦๺େֶେֶӃ؀ڥՊֶݚڀՊ த୩༑थڭत

  50. ˜/),/),εϖγϟϧʮ৽ܕίϩφʠୈ೾ʡةػ͸৐Γ੾ΕΔͷ͔ʯ

  51. ˜/),/),εϖγϟϧʮ৽ܕίϩφʠୈ೾ʡةػ͸৐Γ੾ΕΔͷ͔ʯ

  52. ϦεΫΤϦΞͷมԽ ݄ʙ݄̑ ݄ʙ݄ ݄ʙ݄

  53. /55υίϞࠃ಺ਓޱ෼෍౷ܭ ࠃཱ৘ใֶݚڀॴ ਫ໺و೭।ڭत

  54. None
  55. %&.0

  56. ౦ւେֶҩֶ෦த઒૲ߨࢣ ӈʣ݄೔์ૹ ϏοάσʔλΛ̔,ͰՄࢹԽ৽ܕίϩφ΢Πϧεײછരൃ Լʣ݄೔์ૹ /),εϖγϟϧʮ৽ܕίϩφʠୈ೾ʡةػ͸৐Γ੾ΕΔͷ͔ʯ

  57. ݄ ೔ /),αΠΤϯεελδΞϜ !೔ຊՊֶະདྷؗ

  58. ੍࡞෣୆ཪ

  59. ࣌ܥྻ w ݄ॳ०ɹɹاըձٞࢀՃ w ݄ɹɹɹɹऔࡐɺετʔϦʔͷݕ౼ɺϓϩτλΠϓ w ݄ɹɹɹɹϏδϡΞϥΠζ։ൃ w ݄ॳ०ɹ൪૊ऩ࿥ w

    ݄೔ɹɹ#4,์ૹ w ݄೔ɹ#4,์ૹ w ݄ ೔ɹ/),αΠΤϯεελδΞϜ w ݄೔ɹ/),૯߹/),εϖγϟϧ
  60. ,ͷϙςϯγϟϧΛҾ͖ग़͢͜ͱ͕Ͱ͖Δର৅ΛϦαʔν

  61. ՄࢹԽϓϩηεͷৄࡉ ॳظஈ֊ʢ୳ࡧతՄࢹԽʣ w ઐ໳Ոͱऔࡐ୲౰ऀͷؒͰ఻͑Δ΂͖ετʔϦʔΛݕ౼͠ՊֶతݕূΛߦ͏ɻͦͷαϙʔτͱͯ͠ ՄࢹԽΛߦ͏ɻ୆ຊ࡞Γ΍ίϯςͱͯ͠΋੍࡞ͨ͠πʔϧͰՄࢹԽΛ׆༻ɻ தظஈ֊ʢ఻ୡతՄࢹԽʣ w ՄࢹԽͨ͠ࡍͷΘ͔Γ΍͢͞ͱඒ؍ͷཱ྆ʹ஫ྗɻଟ਺ͷόϦΤʔγϣϯΛ࡞੒ɻ w ൪૊ई΍ײછ֦େͷঢ়گʹ߹ΘͤɺετʔϦʔΛ࿅Γ্͛ΔɻͳʹΛ࢒͠ɺͳʹΛࣺͯΔ͔ɻ

    ࠷ऴஈ֊ʢ$(ΤϯδχΞͱͷ࿈ܞɺऩ࿥ۀ຿ʣ w ड͚౉͢͠ΔσʔλϑΥʔϚοτͷݕ౼΍ௐ੔ w ์ૹ਺೔લʹσʔλΛߋ৽͢Δ৔߹΋͋ΔͨΊɺύΠϓϥΠϯͷ؅ཧ͸ॏཁ w /."14Ͱग़ྗɺઐ໳ՈΛަ͑ͨࡱӨɺऩ࿥
  62. ॳظͷεέονʢ݄͝Ζʣ

  63. ॳظͷՄࢹԽʢϔΞϘʔϧԽʣ

  64. ॳظͷՄࢹԽʢ࣌ؒͷάϦουΛೖΕΔʣ

  65. ॳظͷՄࢹԽʢ஍ਤͷಁաɺܦ࿏ͷϋΠϥΠτʣ

  66. ্݄०͝Ζʢॳظஈ֊ͷʮϔΞϘʔϧʯΛղͨ͘ΊʹΤοδΛଋͶΔΞϧΰϦζϜͷݕ౼ʣ

  67. ݄த०͝Ζʢ஍ཧ৘ใ΍τϙϩδʔΛม͑ͣʹΤοδΛଋͶΔख๏Λ։ൃʣ

  68. ΤοδଋԽલɹɹɹɹɹɹɹɹɹɹɹɹɹɹɹɹɹɹɹɹɹɹɹɹɹΤοδଋԽޙ

  69. +9௨৴ࣾײછ޷ධ஍఺σʔλ ࣍ݩΧʔωϧີ౓ਪఆ "SD(*4130

  70. https://nakaya-geolab.com/tools/ "SD(*4130ͷπʔϧϘοΫεͱͯ͠഑෍ Χʔωϧີ౓ਪఆͷ౳Ґ໘Λ.VMUJ1BUIΛੜ੒ 1ZUIPO 3 ౦๺େֶେֶӃத୩ݚڀࣨ

  71. ؔ౦ ؔ੢

  72. ؔ౦ ؔ੢

  73. "SD(*4130Ͱܭࢉͨ͠౳Ґ໘ΛPCKԽɺ1SPDFTTJOHͰ࣍ݩ౤Ө

  74. ײછެද஍఺΋࣍ݩԽͯ͠ॏͶΔ

  75. ಁա౓΍৭૬Λ1SPDFTTJOHͰݕ౼

  76. σβΠϯόϦΤʔγϣϯͷఏҊ

  77. 1SPDFTTJOHͰظؒ͝ͱͷ෼ੳ ݄ʙ݄̑ ݄ʙ݄ ݄ʙ݄

  78. ࠃཱ৘ใֶݚڀॴਫ໺ݚڀࣨ /55υίϞࠃ಺ਓޱ෼෍౷ܭʹج͖ͮ ࢢ۠ொଜΛάϧʔϐϯάͨ͠σʔλ 1SPDFTTJOHͰHFPKTPOΛ ΧϥʔϦϯάͨ͠TIBQFʹม׵

  79. ࡞੒͞Εͨֆίϯς

  80. ݄Լ०ࠒʢதظஈ֊ʣ࣍ݩۭؒͰͷΧϝϥϫʔΫݕ౼

  81. FRY, Benjamin Jotham. Computational information design. 2004. PhD Thesis. Massachusetts

    Institute of Technology. ϓϩδΣΫτͷৼΓฦΓ λΠτͳεέδϡʔϧɺ೔ʑมΘΔσʔλ ԿΛ࢒ͯ͠ɺԿΛࣺͯΔ͔ͷ൑அ ์ૹૉࡐͱͯ͠ͷ ΫΦϦςΟΞοϓ
  82. ධՁ

  83. ࢼௌޙΞϯέʔτ݁Ռ /),αΠΤϯεελδΞϜձ৔ʹͯʢ/ʣ ήϊϜ࣍ݩܥ౷थ ײછϦεΫۭ࣌ؒ%Ϛοϓ ίϝϯτ ݟ͑ͳ͍΢Πϧεͷมҟ΍ײછঢ়گ͕ݟ͑ͯɺཧղ͕ਂ·ͬͨ ৽ܕίϩφ΢Πϧεͷࣄ͕ͨ͘͞Μ෼͔Γ·ͨ͠ɻ ίϩφ΢Πϧε͕มҟΛଓ͚ͯ޿͕͍ͬͯΔͳͲɺ·ͩ஌Βͳ͍͜ͱ΋ଟ͍ͱࢥ͍ษڧʹͳͬͨɻө૾΋࠷৽తͩ

  84. ࢼௌޙΞϯέʔτ݁Ռ /),αΠΤϯεελδΞϜձ৔ʹͯʢ/ʣ ҹ৅ʹ࢒͍ͬͯΔ಺༰͸ʁ ࣸਅ ໛ܕ ՄࢹԽ ՄࢹԽ ՄࢹԽ ՄࢹԽ 

         ήϊϜܥ౷थ %Ϛοϓ
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  86. ࠓޙͷ༧ఆ w ݄์ૹ༧ఆͷ/),൪૊ͰΞοϓσʔτͨ͠ϏδϡΞϥΠζΛ࢖༻༧ఆ 5XJUUFSɹ!NBTBLJDL .BJMɹNZBNBCF!TGDLFJPBDKQ

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