自治体におけるデータ利活用〜最前線とその裏側

Transcript

1. ࣏ࣗମʹ͓͚Δ σʔλར׆༻ ʙ࠷લઢͱͦͷཪଆ 講師：下⼭ 紗代⼦ Ұࣾ ϦϯΫσʔλ ୅දཧࣄ ΠϯϑΥɾϥ΢ϯδגࣜձࣾ औక໾ σδλϧி σʔλεϖγϟϦετଞ ೥݄೔ʢ݄ʣ શࠃͷࣄྫ͔ΒݟΔɺ ަ௨·ͪͮ͘ΓͷਐΊํ
2. 2 Sayoko Shimoyama, LinkData Government Local Government Enterprise Civic Tech Public Sector Private Sector
3. Sayoko Shimoyama, LinkData 3 X ͍͔ʹɺτϥϯεϑΥʔϝʔγϣϯʢมֵʣΛਐΊΔ͔ D σδλϧͷྗ΋࢖͏ ͦΕҎ֎ͷ৭ʑͳྗ΋࢖͏
4. Sayoko Shimoyama, LinkData 4 X ͍͔ʹɺτϥϯεϑΥʔϝʔγϣϯʢมֵʣΛਐΊΔ͔ D σδλϧͷྗ΋࢖͏ σʔλͷྗ΋࢖͏ Data
5. ̍ਓ̍ਓ͕ଚॏ͞ΕΔࣾձ΁ͷ τϥϯεϑΥʔϝʔγϣϯ ैདྷɿਓ͕࢓૊Έʹ߹ΘͤΔ ͜Ε͔Βɿ࢓૊Έ͕ਓʹ߹ΘͤΔ ࢧԉΛඞཁͱ͢Δਓ͕ਃ੥Λ͢Ε͹ ॿ੒͕ۚ΋Β͑Δ ࢧԉΛඞཁͱ͢ΔਓΛσʔλͰಛఆ ͯ͠ॿ੒ۚΛৼΓࠐΉ ެڞަ௨ͷӡߦʹ߹Θͤͯߦಈ͢Δ ެڞަ௨ͷӡߦΛσʔλͰ࠷దԽͯ͠ ਓͷߦಈύλʔϯʹ߹ΘͤΔ τοϓμ΢ϯͰઆಘͯ͠෺ࣄΛܾΊΔ ΈΜͳͰσʔλΛݟͯೲಘܾͯ͠ΊΔ 5 Sayoko Shimoyama, LinkData
6. SAYOKO SHIMOYAMA, LINKDATA 2023-01-30 6 ૝૾ͯ͠Έͯ ͍ͩ͘͞
7. 2023-01-30 SAYOKO SHIMOYAMA, LINKDATA 7 ଎౓ϝʔλʔ΋ΧʔφϏ΋෇͍͍ͯͳ͍ंɺ ӡసͰ͖·͔͢ʁ
8. 2023-01-30 Sayoko Shimoyama, LinkData 8 ࢲͨͪ͸ɺ஌Βͳ͍ಓΛ ਐΜͰߦ͜͏ͱ͍ͯ͠Δ
9. SAYOKO SHIMOYAMA, LINKDATA 2023-01-30 9 ঢ়گΛਖ਼͘͠ ೺Ѳͯ͠൑அ Ͱ͖ͳ͍ਓʹ ӡస͸೚ͤΒ Εͳ͍
10. 2023-01-30 SAYOKO SHIMOYAMA, LINKDATA 10 ਖ਼֬ͳݱঢ়೺Ѳͱ໨ࢦ͢΂͖৔ॴΛઃఆ ͢ΔͨΊͷσʔλ׆༻ 現在速度は どのくらい︖ ガソリンは ⼗分ある︖ ⽬的地は正しく 設定されている︖ ⽬的地に 近づいている︖
11.  ҧ͍Λฉ͔ΕͨΒઆ໌Ͱ͖·͔͢ʁ σʔλ ৘ใ 4":0,0
    4)*.0:"."
    -*/,%"5" 
12. σʔλͱ͸ʁ *40ٴͼ+*4ن֨ʹΑΔఆٛ "
    SFJOUFSQSFUBCMF
    SFQSFTFOUBUJPO
    PG
    JOGPSNBUJPO
    JO
    B
    GPSNBMJ[FE
    NBOOFS
    TVJUBCMF
    GPS
    DPNNVOJDBUJPO
    JOUFSQSFUBUJPO
    PS
    QSPDFTTJOHz *40*&$
     IUUQTXXXJTPPSHPCQVJJTPTUEJTPJFDFEFO ೔ຊ޻ۀن֨ʮ9
    ৘ใॲཧ༻ޠجຊ༻ޠʯIUUQLJLBLVSVJDPNY9IUNM  4":0,0
    4)*.0:"."
    -*/,%"5"  ৘ใͷදݱͰ͋ͬͯɺ ఻ୡɺղऍ·ͨ͸ॲཧʹద͢ΔΑ͏ʹܗࣜԽ͞Εɺ ࠶౓৘ใͱͯ͠ղऍͰ͖Δ΋ͷ
13. ৘ใͱ͸ʁ *40ٴͼ+*4ن֨ʹΑΔఆٛ ,OPXMFEHF
    DPODFSOJOH
    PCKFDUT
    TVDI
    BT
    GBDUT
    FWFOUT
    UIJOHT
    QSPDFTTFT
    PS
    JEFBT
    JODMVEJOH
    DPODFQUT
    UIBU
    XJUIJO
    B
    DFSUBJO
    DPOUFYU
    IBT
    B
    QBSUJDVMBS
    NFBOJOH *40*&$
     IUUQTXXXJTPPSHPCQVJJTPTUEJTPJFDFEFO ೔ຊ޻ۀن֨ʮ9
    ৘ใॲཧ༻ޠجຊ༻ޠʯIUUQLJLBLVSVJDPNY9IUNM  4":0,0
    4)*.0:"."
    -*/,%"5"  ࣄ࣮ɼࣄ৅ɼࣄ෺ɼաఔɼண૝ͳͲͷ ର৅෺ʹؔͯ͠஌Γಘͨ͜ͱͰ͋ͬͯɼ ֓೦ΛؚΈɼҰఆͷจ຺தͰಛఆͷҙຯΛ΋ͭ΋ͷɻ
14. 2023-01-30 σʔλ͸ɺ৘ใΛܗࣜԽͨ͠΋ͷ σʔλ ৘ใ ࠶౓৘ใͱͯ͠ղऍͰ͖Δ΋ͷ Sayoko Shimoyama, LinkData 14
15. 2023-01-30 ਺ࣈ 40 Sayoko Shimoyama, LinkData 15
16. 2023-01-30 ৘ใ JRതଟγςΟͰ 2023೥1݄23೔ʹ։࠵͞Εͨ σʔλ෼ੳϫʔΫγϣοϓͷ ࢀՃొ࿥ऀ਺͸ ਓͰ͢ɻ Sayoko Shimoyama, LinkData 16
17. 2023-01-30 σʔλ ϫʔΫγϣοϓ ։࠵೔ ϫʔΫγϣοϓ ։࠵৔ॴ ࢀՃొ࿥ऀ ਺  +3തଟγςΟ  Sayoko Shimoyama, LinkData 17
18. ৘ใ⇄σʔλ ૒ํ޲ʹม׵Մೳ 2023-01-30 Sayoko Shimoyama, LinkData 18 ϫʔΫγϣοϓ ։࠵೔ ϫʔΫγϣοϓ ։࠵৔ॴ ࢀՃొ࿥ ऀ਺  +3തଟγςΟ  JRതଟγςΟͰ 2023೥1݄23೔ʹ։࠵͞Εͨ σʔλ෼ੳϫʔΫγϣοϓͷ ࢀՃొ࿥ऀ਺͸ ਓͰ͢ɻ
19. σʔλԽ͢Δ͜ͱͰ ଞͷσʔλͱ૊Έ߹ΘͤΒΕΔ 2023-01-30 ৽͍͠ʮ৘ใʯ͕ औΓग़ͤΔ Sayoko Shimoyama, LinkData 19 Qɿ֤ϫʔΫγϣοϓͷ ʮΩϟϯηϧ཰ʯ͸ Ͳͷ͘Β͍ʁ 30 35 40 24 29 34 0 5 10 15 20 25 30 35 40 45 ϫʔΫγϣοϓผ ࢀՃऀ਺ͷൺֱ ౰೔ࢀՃऀ਺ ࢀՃొ࿥ऀ਺ 2023-01-23 2023-02-06 2023-02-25
20. σʔλ෼ੳ = σʔλ͔Βݱঢ়೺Ѳ΍ ൑அʹ࢖͏ͨΊͷ৘ใΛҾ͖ग़͢͜ͱ 2023-01-30 Sayoko Shimoyama, LinkData 20 Ωϟϯηϧ཰    30 35 40 24 29 34 0 5 10 15 20 25 30 35 40 45 ϫʔΫγϣοϓผ ࢀՃऀ਺ͷൺֱ ౰೔ࢀՃऀ਺ ࢀՃొ࿥ऀ਺ 2023-01-23 2023-02-06 2023-02-25
21. ϙΠϯτɿ %ɾ*ɾ,ɾ8ͷͭͳ͕ΓΛҙࣝ͢Δ 8JTEPN ʢ஌ܙʣ ,OPXMFEHF ʢ஌ࣝʣ *OGPSNBUJPO ʢ৘ใʣ %BUB ʢσʔλʣ  4BZPLP
    4IJNPZBNB
    -JOL%BUB  Ձ஋ աڈ ະདྷ ʮσʔλʯ͸ɺ୯ͳΔʢࣄ࣮΍ঢ় گΛද͢ʣ਺ࣈ΍จࣈྻͷू·Γ ͰɺͦΕ͚ͩͰ͸ҙຯΛ࣋ͨͳ͍ɻ σʔλॲཧʹΑͬͯಘΒΕΔ ʮ৘ใʯʹͳͬͯ͸͡Ίͯɺҙຯ Λ࣋ͭ΋ͷʹͳΔɻ ৘ใΛ஝ੵؔ͠࿈෇͚Δ͜ͱͰɺ ʮ஌ࣝʯͱͯ͠ࣄ৅ͷنଇੑ΍ ܏޲ΛཧղͰ͖Δɻ ஌ࣝΛ׆༻ͯ͠൑அ͕Ͱ͖Δঢ়ଶ ʹͳΔͱʮ஌ܙʯͱݺ΂Δ΋ͷʹ ͳΔɻ
22. DIKWϞσϧʹ౰ͯ͸Ίͨྫ 8JTEPN ʢ஌ܙʣ ,OPXMFEHF ʢ஌ࣝʣ *OGPSNBUJPO ʢ৘ใʣ %BUB ʢσʔλʣ 2023-01-30 Sayoko Shimoyama, LinkData 22 Ձ஋ աڈ ະདྷ ֤ϫʔΫγϣοϓͷ ొ࿥ऀ਺ͱ౰೔ࢀՃऀ਺ ֤ϫʔΫγϣοϓͷ Ωϟϯηϧ཰ ϫʔΫγϣοϓͷΩϟϯηϧ཰ ͸େମຖճʙ͘Β͍ ࣍ճ͔Βఆһ ͘Β͍ ଟΊʹਃࠐΛड͚෇͚ͯ΋ େৎ෉ͦ͏
23. ஫ҙɿʮ஌ܙʯ͸߃ٱతͳ΋ͷͰ͸ͳ͍ nݱ஍ͰΠϕϯτΛߦͳ͍ͬͯͨ࣌ͱΦϯϥΠϯΠϕϯτͰ͸Ωϟϯηϧ཰͸ มΘΔͷͰ͸ʁ nࢀՃऀ૚͕શવҧ͏Πϕϯτͷ৔߹͸ʁ มԽʹରԠͯ͠ʮ஌ܙʯΛΞοϓσʔτ͢ΔͨΊʹ͸ ৽͍͠σʔλΛऔಘͯ͠ DIKWͷϓϩηεΛ܁Γฦ͢ඞཁ͕͋Δ 2023-10-17 Sayoko Shimoyama, LinkData 23
24. ਺஋Λ࢖͏ͱ٬؍ੑ͕ߴ·Δ ྫʣ͋Δࢢʹ͓͚Δٹٸୂһ๊͕͍͑ͯͨ՝୊ 配属先が変わって 業務負担が増えた しかし上司の理解が得られない 根性が ⾜りない 2023-01-30 Sayoko Shimoyama, LinkData 24
25. ਺஋Λ࢖͏ͱ٬؍ੑ͕ߴ·Δ ࢢ಺ͷ֤ୂͷୂһ1ਓ͋ͨΓͷ ग़ಈ݅਺※ Λࢉग़ͯ͠ൺֱ ※࢖༻σʔλɿফ๷೥ใͷ೥ؒٹٸग़ಈ݅਺×֤ୂͷ഑ଐਓ਺ ࠷େͰ 7.75ഒ ͷࠩ 2023-01-30 Sayoko Shimoyama, LinkData 25 n ਺ࣈ͸ݴ༿ΑΓ΋ղऍͷ෯͕ڱ͍ n ղऍͷᴥᴪ͕ݴ༿ʹൺ΂ͯى͜Γʹ͍͘ n ཱ৔ͷҟͳΔਓͷؒͰͷೝࣝͷ͢Εҧ͍ΛݮΒ͢ޮՌ͕ظ଴Ͱ͖Δ ग़యݩɿ$PEF
    GPS
    +BQBO
    σʔλΞΧσϛʔʹ͓͚Δ๭࣏ࣗମͷνʔϜͷ౰೔ൃදࢿྉ
26. ױ ऀ ͷ ੜ ଘ ཰ ٬؍తͳσʔλͳ͠Ͱ͸ɺ ઐ໳ՈͰ͋ͬͯ΋൑அΛؒҧ͏͜ͱ͕͋Δ nEBPMɿEvidence Based Policy Making …ΤϏσϯεʢ͔֬ͳࠜڌʣʹ ج͍ͮͨ੓ࡦཱҊ nEBPM͸ҩֶʢEvidence Based Medicineʣ͔Β೿ੜͨ͠ߟ͑ํ • 1989೥ɺ౰࣌Ұൠతʹ࢖༻͞Εͯ ͍ͨෆ੔຺ͷༀͷޮՌΛσʔλΛ औͬͯݕূ ˠ෰༻ʹΑͬͯࢮ๢཰͕ߴ·Δ ͜ͱ͕൑໌ 2023-08-08 Sayoko Shimoyama, LinkData 26 ౰࣌Ұൠతͳෆ੔຺ͷༀ ϓϥηϘʢِༀʣ ܦݧత஌ࣝͷΈͰ൑அ͢Δ͜ͱͷ ةݥੑ
27. σʔλ෼ੳ݁Ռ͕ܦݧ΍ΧϯΛӽ͑ͨྫɿ PredPolʢถࠃͷ൜ࡑൃੜ༧ଌγεςϜʣ nΧϦϑΥϧχΞେֶ͕։ൃͨ͠൜ࡑ༧ଌ γεςϜ nաڈͷ൜ࡑ৘ใͷσʔλϕʔεΛ΋ͱʹɺ কདྷʮ͍ͭɺͲ͜Ͱʯ൜ࡑ͕ى͖Δͷ͔ɺ ػցֶशͰ༧ଌ nϩαϯθϧεࢢܯͷ൜ࡑ෼ੳ׭ͱPredPol ͷ༧ଌΛൺֱͨ͠ͱ͜ΖɺPredPolͷํ͕ ̎ഒҎ্ਖ਼֬ʹ༧ଌͰ͖ͨ 2023-01-30 Sayoko Shimoyama, LinkData 27 ैདྷͷܦݧ΍ΧϯཔΓͷํ๏Ͱ͸ͳ͘ɺ σʔλʹجͮ͘٬؍తͳࠜڌ͔Β൑அ͢Δํ๏΁γϑτ https://www.predpol.com/
28. σʔλͰࠜڌΛࣔ͢͜ͱͰ߹ҙܗ੒ΛਐΊͨྫɿ εʔύʔϒϩοΫߏ૝ʢόϧηϩφࢢʣ nόϧηϩφͰ͸ࣗಈंͷ ަ௨ྔ͕ଟ͘ɺԚછ෺࣭΍ CO2ɺ૽ԻͳͲʹΑΔެ֐ ͕՝୊ ʢWHOͷج४஋Λৗʹ௒ աঢ়ଶʣ nʮࢢຽத৺౎ࢢʯΛίϯ ηϓτʹ͔͔͛ɺஈ֊తʹ ं͕௨ΕΔಓΛ੍ݶ͢Δ ܭըΛ࣮ࢪ ʢ2015೥ʙʣ 2023-01-30 Sayoko Shimoyama, LinkData 28 出典︓Mueller et al., Changing the urban design of cities for health: The superblock model, Environment International, Volume 134, 2020, 105132, ISSN 0160-4120, https://doi.org/10.1016/j.envint.2019.105132.
29. 2023-01-30 Sayoko Shimoyama, LinkData 29 ग़యɿAjuntament de Barcelona, SUPERBLOCK BARCELONA: Towards the city we want, 2021 https://ajuntament.barcelona.cat/superilles/sites/default/files/20210202_Superblock_Barcelona_web.pdf
30. σʔλͰࠜڌΛࣔ͢͜ͱͰ߹ҙܗ੒ΛਐΊͨྫɿ εʔύʔϒϩοΫߏ૝ʢόϧηϩφࢢʣ nަ௨ྔ΍؀ڥʹؔ͢Δηϯγϯά σʔλΛ༻͍ͨ෼ੳΛ࣮ࢪ nܭը͕ਐΜͩ৔߹ʹͲͷ͘Β͍ ໰୊͕վળ͢Δͷ͔ɺ۩ମతͳ ਺஋Ͱࣔ͢͜ͱͰ߹ҙܗ੒Λਪਐ 2023-01-30 Sayoko Shimoyama, LinkData 30 ަ௨ྔ͕21%ݮ 94%ͷࢢຽ͕ةݥͳϨϕϧͷཻࢠ ঢ়෺࣭ʹࡽ͞ΕΔ͜ͱ͸ͳ͘ͳΔ 73.5%ͷࢢຽ͸ʮ65σγϕϧҎ্ ͷ૽ԻʯΛܦݧͤͣʹ͢Ή σʔλग़యɿ IUUQTDJUJFTPGUIFGVUVSFFVTVQFS CMPDLTCBSDFMPOBBOTXFSUPDBS DFOUSJDDJUZ
31. ͜Ε͔Βͷࣾձʹඞཁͳͷ͸ɺ ߹ҙܗ੒ͷͨΊʹσʔλΛ࢖͏͜ͱ ݱঢ় w σʔλΛ࢖Θͳͯ͘΋ ϓϩδΣΫτΛਐΊΔ ͜ͱ͸Մೳ ໰୊ w ར֐ͷҟͳΔؔ܎ऀ͕ ͍Δͱ߹ҙܗ੒͕ࠔ೉ ղܾࡦ w ఆྔσʔλΛ࢖ͬͯ ೝࣝͷ͢Εҧ͍ΛݮΒ͠ ্ͨͰ߹ҙܗ੒ΛਐΊΔ 2023-01-30 Sayoko Shimoyama, LinkData 31 ୲౰ऀͷ൑அͷΈ ͰਐΊͯ0,ͳ৔߹ τοϓμ΢ϯͰ ԿͰ΋௨ΔνʔϜ ΍૊৫ ݸਓͷײ֮͸ ଞਓͱڞ༗Ͱ ͖ͳ͍ ݱঢ়ೝ͕ࣝ߹Θͣ ٞ࿦͕ฏߦઢʹͳ Δ͜ͱ΋ ਺஋Ͱఆྔతʹࣔ ͢͜ͱͰɺݴ༿Α Γ΋ղऍͷᴥᴪ͕ ੜ͡ʹ͘͘ͳΔ ཱ৔ͷҟͳΔਓ ಉ࢜Ͱ΋ೝࣝΛ ߹Θ্ͤͨͰ߹ҙ ܗ੒ΛਐΊΒΕΔ
32. 2023-01-30 Sayoko Shimoyama, LinkData 32 σʔλͷຽओԽ EBUB
    EFNPDSBUJ[BUJPO
33. σʔλͷ ຽओԽ ݚڀऀ΍σʔλαΠΤϯςΟετ ͳͲɺैདྷҰ෦ઐ໳ՈͷΈ͕ѻ͑ͯ ͍ͨσʔλͷར׆༻Λɺಛผͳ஌ࣝ Λ࣋ͨͳ͍ਓͰ΋Մೳʹ͢Δ͜ͱ 2023-01-30 Sayoko Shimoyama, LinkData 33
34. Sayoko Shimoyama, LinkData 2023-01-30 DXͷਐߦͰ σʔλ΁ͷ ΞΫηεͱ πʔϧ׆༻͕ ༰қʹ ग़యɿ “ Data Democratization and How to Get Started?”, DZone, https://dzone.com/articles/data- democratization-and-how-to-get- started 34
35. σʔλͷຽओԽʹΑΔ૊৫มֵ ʮσʔλͷຽओԽʯ͸࣍ୈʹاۀશମ ʹӨڹΛٴ΅͍ͯ͘͠ɻ ͦ͏ͳΔͱɺϏδωεͱσʔλΛࠓ·Ͱ Ҏ্ʹີ઀ʹ݁ͼ͚ͭΔ͜ͱ͕Ͱ͖Δɻ σʔλͷར׆༻ʹՃΘΔैۀһΛ޿͘૿ ΍͠ɺ͋ΒΏΔࣄۀʹ͓͍ͯσʔλʹج ͍ͮͨҙࢥܾఆΛߦͬͯޮ཰Խ΍ੜ࢈ੑ ޲্Λଅਐ͢ΔσʔλυϦϒϯͳ૊৫΁ ͱมֵ͍ͯ͘͜͠ͱ͕Ͱ͖Δɻ ग़యɿʮσʔλͷຽओԽʯैۀһʹΑΔσʔλར׆༻ͷ֦େ, IPA ࣾձج൫ηϯλʔ, 2022೥5݄12೔ https://www.ipa.go.jp/ikc/reports/datademocra_01.html 2023-01-30 Sayoko Shimoyama, LinkData 35
36. ࣄྫɿ౷ܭσʔλΛࣄۀܭըͷࡦఆʹ׆༻ɺ ԯԁ΋ͷࢿۚௐୡʹ੒ޭ ൘ۚృ૷ళφοϓϑΝΫτϦʔʢैۀһ਺ɿ19໊ʣ Sayoko Shimoyama, LinkData 36 ग़యɿܦࡁ࢈ۀল
    ౷ܭར׆༻ࣄྫू https://www.meti.go.jp/statistics/pr/rikatuyou_20210326/rikatuyou_20210326.html ͜Ε·Ͱʹ λʔήοτͱ ͍ͯͨ͠ࢢ৔ ͸ࠓޙ௿໎ͷ ݟࠐΈ ࠓޙ΋҆ఆ ͯ͠धཁ͕ ݟࠐ·ΕΔ ࢢ৔Λσʔ λ͔Βൃݟ 2023-01-30
37. ߦ੓૊৫ʹ͓͍ͯ΋ਐΉ σʔλͷຽओԽɿਆށࢢͷྫ ߦ੓ΛऔΓר͘ٸܹͳ֎෦ ؀ڥͷมԽʹεϐʔυײΛ࣋ͬͯ ରԠ͍ͯͨ͘͠ΊɺਆށࢢͰ͸ ಺෦ਓࡐʹΑΓߦ੓σʔλ΍ެత ౷ܭσʔλΛ#*πʔϧ౳Ͱ෼ੳɾ ՄࢹԽ͠ɺμογϡϘʔυʢ౷ܭ Ճ޻ͨ͠ෳ਺ͷσʔλΛάϥϑ౳ Ͱ෼͔Γ΍͘͢ҰཡͰ͖Δը໘ʣ ΛશிͰڞ༗͢Δ࢓૊ΈΛߏங͠ ͍ͯ·͢ɻ ग़యɿਆށࢢ هऀൃදࢿྉ https://www.city.kobe.lg.jp/a47946/163739689725.html 2023-01-30 Sayoko Shimoyama, LinkData 37 ೥ʮ%BUB
    4UB3U
    "XBSEʯͰ ૯຿େਉ৆Λड৆
38. 2023-01-30 Sayoko Shimoyama, LinkData μογϡϘʔυʁ 38
39. (σʔλͷ) μογϡϘʔυ ͱ͸ n ൑அ΍ҙࢥܾఆʹඞཁͱ ͳΔෳ਺ͷσʔλΛɺҰ໨Ͱ ݟͯ෼͔ΔΑ͏ʹ·ͱΊͯ ՄࢹԽͨ͠΋ͷ nը૾ͱͯ͠షͬͯ͋Δ͚ͩ ͷάϥϑͱҧͬͯɺදࣔΛ ੾Γସ͑ͨΓߜΓࠐΜͩΓ Ͱ͖ΔΑ͏ʹ࡞ΒΕ͍ͯΔ ͜ͱ͕ଟ͍ Sayoko Shimoyama, LinkData 2023-01-30 39 ग़యɿਆށࢢ
    େ౎ࢢൺֱ౷ܭ೥ද IUUQTXXXDJUZLPCFMHKQBTIJTFUPLFUPVLFJIJLBLVJOEFYIUNM
40. #*πʔϧ #VTJOFTT
    *OUFMMJHFODF اۀͳͲͷ૊৫ʹ͓͍ͯɺ γεςϜʹ஝ੵ͞ΕΔ๲ େͳσʔλΛ෼ੳɾՄࢹ Խ͢Δ͜ͱͰɺܦӦ্ͷ ਝ଎ͳҙࢥܾఆΛՄೳʹ ͢Δख๏΍ٕज़ 4":0,0
    4)*.0:"."
    -*/,%"5"  
41. ਓؒͷ೴͸ ϏδϡΞϧΛ ςΩετͷ ສഒ ଎͘ೝ஌ ਺ࣈ͚ͩݟͤΔΑΓ ΋ɺϏδϡΞϥΠζ ͢Δͱ఻ΘΓ΍͘͢ ͳΔ 4":0,0
    4)*.0:"."
    -*/,%"5"   https://www.slideshare.net/elsekramer/show-dont-tell-the-rise-of-visual-on-social-media/35-brand_identity
42. ೔ຊશࠃͷσʔλΛμογϡϘʔυͰදࣔ Ͱ͖ΔπʔϧɿRESASʢϦʔαεʣ n஍Ҭܦࡁ෼ੳγεςϜ; Regional Economy (and) Society Analyzing System n಺ֳ׭๪·ͪɾͻͱɾ͠͝ͱ૑ੜຊ෦͕ߏங n஍Ҭܦࡁʹؔ͢Δ༷ʑͳσʔλʢ࢈ۀͷߏ଄ɺਓޱ ಈଶɺࣄۀॴ৘ใͳͲʣΛɺ஍ਤ΍άϥϑͰ؆୯ʹ ՄࢹԽͯ͠ݟΔ͜ͱ͕Ͱ͖ΔγεςϜ n஍ํ૑ੜͷ࣮ݱʹ޲͚ͯɺ٬؍తͳσʔλʹج͖ͮɺ ࣗΒͷ஍Ҭͷݱঢ়ͱ՝୊Λ೺Ѳ͠ɺͦͷಛੑʹଈ͠ ͨ஍Ҭ՝୊Λநग़Ͱ͖ΔΑ͏ʹ͢Δ໨తͰ࡞ΒΕͨ  4BZPLP
    4IJNPZBNB
    -JOL%BUB  https://resas.go.jp
43. ྫʣ๺෦۝भΤϦΞͰ஍ݩͰब৬͢Δਓͷׂ߹ ͕Ұ൪ଟ͍ͷ͸Ͳͷݝͩͱࢥ͍·͔͢ʁ 1. 福岡県 2. 佐賀県 3. ⻑崎県 4. 熊本県 5. ⼤分県 2023-01-30 Sayoko Shimoyama, LinkData 43
44. RESAS > ਓޱϚοϓ > ৽ଔऀब৬ɾਐֶ > ஍ݩब৬཰ͷਪҠ https://resas.go.jp/employ-education-localjob- academic/#/toTransition/8.115477217419937/33.61470834/133.60245925/40/40100/1/1/0.0/2020/0/2/20/0/41__-42__-43__-44__ 2023-01-30 Sayoko Shimoyama, LinkData 44
45. σʔλ͸༧૝ͨ͠Γɺ͋ͨΓΛ෇͚ ͳ͕ΒݟΔͱָ͍͠ʂ 2023-01-30 Sayoko Shimoyama, LinkData 45 当たっていたら もちろん嬉しい 外れても「そっちだっ たかー」と新しい情報 が得られるので嬉しい
46. ࢀߟɿ σʔλ෼ੳʹΑΔ੓ࡦ൓өͷྲྀΕ ԾઆΛ ཱͯΔ σʔλΛ ूΊΔ ෼ੳ ධՁ ੓ࡦཱҊ ࢦඪ࡞੒ ՝୊ ৽͍͠՝୊ͷݕ౼ Ծઆͷؒҧ͍Λૣظʹൃݟ ੓ࡦͷਫ਼౓Λ্͛Δ ਺஋໨ඪɺޮՌࢦඪ Λ࡞੒͢Δ  4BZPLP
    4IJNPZBNB
    -JOL%BUB  ग़యݩɿ૯຿ল ஍ํެڞஂମʹ͓͚Δσʔλར׆༻ΨΠυϒοΫ
    7FS
     ผఴࢿྉɽσʔλΞΧσϛʔʢσʔλ෼ੳฤʣͷڭࡐɾࢿྉ౳
    $$
    #:
    
    +1
47. ෼ੳ՝୊ઃఆͷྫ طଘࣄۀʹ͓͚Δ՝୊ͷߜΓࠐΈͱରࡦͷݕ౼ ྫɿݕ਍ͷड਍཰Λ૿Ճ͍ͤͨ͞ ˠݕ਍ͷ࣮ࢪঢ়گ΍ର৅ऀʹ͍ͭͯԾઆΛݩʹ෼ੳΛߦ͍ɺͲͷΑ͏ʹ Ξϓϩʔν͢Δͷ͕༗ޮ͔ܭըΛཱ࣮ͯͯࢪ͠ɺޮՌ͕ग़Δ͔ϞχλϦϯάɻ αʔϏεͷઃܭʹ͓͚Δχʔζͷ෼ੳͱܧଓతͳվળ ྫɿΠϕϯτͷҊ಺ΛιʔγϟϧϝσΟΞͰ͓஌Βͤ͢ΔαʔϏε ˠͲͷΤϦΞͲͷଐੑͷਓ͕ͲͷΑ͏ͳ৘ใΛඞཁͱ͍ͯ͠Δ͔χʔζΛ෼ੳ͠ɺ αʔϏεઃܭʹ൓өɻ͞ΒʹϩάσʔλΛ࢖ͬͯαʔϏεΛվળɻ  4BZPLP
    4IJNPZBNB
    -JOL%BUB 
48. ࣄྫɿ ࢢຽϞχλϦϯά σʔλΛ׆༻ͨ͠ γΣΞαΠΫϧ ಋೖʢલڮࢢʣ nϨϯλαΠΫϧͷ૸ߦ σʔλͱΞϯέʔτௐࠪ ͷ෼ੳ݁Ռ͔Βɺར༻ χʔζΛ೺Ѳ nϨϯλαΠΫϧͷճస཰ ͱར༻ऀΛ૿Ճͤ͞Δ͜ ͱʹ੒ޭ 4BZPLP
    4IJNPZBNB
    -JOL%BUB   ग़యɿ౷ܭσʔλར׆༻ηϯλʔ ྩ࿨
    
    ೥౓ ౷ܭσʔλར׆༻ࣄྫू https://www.stat.go.jp/dstart/case/download.html
49. ࣄྫɿ ࢢຽϞχλϦϯά σʔλΛ׆༻ͨ͠ γΣΞαΠΫϧ ಋೖʢલڮࢢʣ σʔλऩूɾ෼ੳ ࿈ܞڠఆΛ݁Μͩاۀ͔ΒిಈΞγετࣗసं
    ୆ͷఏڙΛड͚ɺ ࢢຽϞχλϦϯάͰ૸ߦσʔλٴͼΞϯέʔτௐࠪͷ෼ੳΛ࣮ࢪɻ ՝୊ γΣΞαΠΫϧγεςϜߏஙͷͨΊͷར༻ऀχʔζ͕೺ѲͰ͖͍ͯͳ͍ɻ ໨త Ӻલʹෳ਺ଘࡏ͢ΔطଘϨϯλαΠΫϧΛແਓ؅ཧͷγΣΞαΠΫϧ΁ͱҰຊԽ͢Δ ͜ͱͰɺར༻ऀͷརศੑ޲্ΛਤΓ͞ΒͳΔར༻૿ʹͭͳ͍͛ͨɻ 4BZPLP
    4IJNPZBNB
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    ೥౓ ౷ܭσʔλར׆༻ࣄྫू https://www.stat.go.jp/dstart/case/download. html
50. ࣄྫɿ ࢢຽϞχλϦϯά σʔλΛ׆༻ͨ͠ γΣΞαΠΫϧ ಋೖʢલڮࢢʣ ෼ੳ݁ՌΛ౿·͑ͨࢪࡦͷ࣮ࢪ 
    ೔ି͠Ͱ͸ͳ͘ɺ࣌ؒି͠Ͱ ͋ΔγΣΞαΠΫϧ͕χʔζʹ ଈ͓ͯ͠Γɺճ༡ੑ΍ճస਺Λ ଅਐ͢Δ໨త͔Β
    ෼ͱ͍͏ ୹࣌ؒͷ୯ҐΛઃఆ ໷ؒଳར༻ͷજࡏతͳχʔζ͕ ͋Δ͜ͱ͔Βɺ 
    ࣌ؒར༻Մೳʹมߋ ར༻ऀ͕ଟཱͪ͘دΔ৔ॴΛத৺ ʹόεఀ͔ΒNݍ಺ʹ αΠΫϧϙʔτΛઃஔ ෼ੳ݁Ռ͔Β൑໌ͨ͠ར༻࣮ଶ 
    ճ͋ͨΓͷ৐ं࣌ؒ͸
    
    ࣌ؒҎԼ͕൒਺Ҏ্ɻ طଘϨϯλαΠΫϧͷӦۀ࣌ؒ͸
    
    ࣌ʙ
    ࣌Ͱ͕͋ͬͨɺϞχλʔ σʔλʹΑΔͱӦۀ࣌ؒ֎ͷར༻ ͕ˋ͋ͬͨɻ ૸ߦσʔλ͔Βɺ ଟཱͪ͘دΒΕΔ৔ॴ͕ಛఆͰ͖ ͨɻ 4BZPLP
    4IJNPZBNB
    -JOL%BUB   ग़యɿ౷ܭσʔλར׆༻ηϯλʔ ྩ࿨
    
    ೥౓ ౷ܭσʔλར׆༻ࣄྫू https://www.stat.go.jp/dstart/case/download. html
51. ࣄྫɿ ࢢຽϞχλϦϯά σʔλΛ׆༻ͨ͠ γΣΞαΠΫϧ ಋೖʢલڮࢢʣ ࢪࡦͷޮՌଌఆ ճస཰ɿ
    ʢطଘϨϯλαΠΫ ϧͷฏۉʣ͔Β
    ʢ৽γΣΞα ΠΫϧಋೖޙͷฏۉʣ΁্͕ͬͨɻ ར༻ऀ਺ɿطଘϨϯλαΠΫϧ
    
    ୆ʢલ೥౓݄ฏۉʣ͔Β
     
    ୆ʢ৽γΣΞαΠΫϧಋೖޙ ͷฏۉʣ΁ͱ໿ഒ૿ͱͳͬͨɻ 4BZPLP
    4IJNPZBNB
    -JOL%BUB   ग़యɿ౷ܭσʔλར׆༻ηϯλʔ ྩ࿨
    
    ೥౓ ౷ܭσʔλར׆༻ࣄྫू https://www.stat.go.jp/dstart/case/download. html 0.24 0.42 طଘϨϯλαΠΫϧ ৽γΣΞαΠΫϧ 833.9 1,650 0 500 1000 1500 2000 طଘϨϯλαΠΫϧ ৽γΣΞαΠΫϧ ར༻ऀ਺ ճస཰
52. σʔλ෼ੳʹΑΔ੓ࡦ൓өͷྲྀΕ ԾઆΛ ཱͯΔ σʔλΛ ूΊΔ ෼ੳ ධՁ ੓ࡦཱҊ ࢦඪ࡞੒ ՝୊ ৽͍͠՝୊ͷݕ౼ Ծઆͷؒҧ͍Λૣظʹൃݟ ੓ࡦͷਫ਼౓Λ্͛Δ ਺஋໨ඪɺ ޮՌࢦඪ Λ࡞੒͢Δ  4BZPLP
    4IJNPZBNB
    -JOL%BUB  ग़యݩɿ૯຿ল ஍ํެڞஂମʹ͓͚Δσʔλར׆༻ΨΠυϒοΫ
    7FS
     ผఴࢿྉɽσʔλΞΧσϛʔʢσʔλ෼ੳฤʣͷڭࡐɾࢿྉ౳
    $$
    #:
    
    +1 ຽؒͷʮച্ʯͷ Α͏ͳ෼͔Γ΍͢ ͍ࢦඪͷͳ͍ߦ੓ ʹ͓͍ͯॏཁ
53. ʮΞ΢τϓοτࢦඪʯͱʮΞ΢τΧϜࢦඪʯ ͷ྆ํΛ࢖ͬͯϞχλϦϯά͢Δ Πϯϓοτ ʢ౤ࢿʣ Ξ΢τϓοτ ʢ׆ಈࢦඪʣ Ξ΢τΧϜ ʢ੒Ռࢦඪʣ  4BZPLP
    4IJNPZBNB
    -JOL%BUB  ౤ࢿɿͲͷ͘Β͍ ਓɾϞϊɾΧωΛ ࢖͔ͬͨ ࣄۀ࣮ࢪɿࣄۀ͕ ద੾ʹ࣮ࢪͰ͖ͯ ͍Δ͔ΛଌΔ ੒ՌɿࣄۀΛ࣮ࢪ ͨ݁͠Ռɺ੒Ռ͕ ڍ͕͔ͬͨΛଌΔ ྫʣݟकΓୂ݁੒ ʢਓ਺ɾ༧ࢉʣ ύτϩʔϧ८ճ ݅਺ ൜ࡑൃੜ݅਺ ʢ͕ݮগ͔ͨ͠ʣ
54. ͦͷ··਺஋ʹͰ͖ͳ͍ ఆੑతޮՌ͸Ͳ͏ଌΕ͹ྑ͍ͷ͔ʁ ΞϯέʔτͰฉ͘ ͱ͍͏ํ๏͕Α͘औΒΕΔ ࢦඪͷͭʹ͢Δͷ͸0, Ξϯέʔτ݁ՌͷΈͰଌΔͱ ٬؍ੑʹ͚ܽΔ৔߹͕͋Δ  4BZPLP
    4IJNPZBNB
    -JOL%BUB  ॅΈ΍͢͞ ·ͪͷ ʹ͗Θ͍ ࢠҭͯͷ ͠΍͢͞ உঁฏ౳ ࿝ޙͷ҆৺
55. ࣄྫɿ ॅΈΑ͞ϥϯΩϯά ʢ౦༸ܦࡁʣ 2023-01-30 SAYOKO SHIMOYAMA, LINKDATA 55 ग़యɿhttps://toyokeizai.net/articles/-/595401?page=3
56. 4BZPLP
    4IJNPZBNB
    -JOL%BUB  ఆੑతޮՌ͸ఆྔతޮՌʹ෼ղͯ͠ࢦඪԽ͢Δ ॅΈΑ͞ϥϯΩϯάʢ౦༸ܦࡁʣར༻σʔλ ॅΈΑ͞ " ҆৺౓  ਓޱ౰ͨΓපӃɾҰൠ਍ྍॴපচ਺ʢ೥݄ʣɿްੜ࿑ಇলʮҩྍࢪઃௐࠪʯ  ࿝೥ਓޱ౰ͨΓհޢ࿝ਓ෱ࢱɾอ݈ࢪઃఆһ਺ʢ೥݄ʣɿްੜ࿑ಇলʮհޢαʔϏεࢪઃɾࣄۀॴௐࠪʯ  ʙࡀঁੑਓޱ౰ͨΓʙࡀࣇ਺ʢ೥݄ʣɿ૯຿লʮॅຽجຊ୆ாʹجͮ͘ਓޱɺਓޱಈଶٴͼੈଳ਺ʯ  ࢠͲ΋ҩྍඅॿ੒ʢର৅೥ྸɾॴಘ੍ݶͷ༗ແʣʢ೥݄ʣɿ౦༸ܦࡁௐ΂  ਓޱ౰ͨΓܐ๏൜ೝ஌݅਺ʢ೥ʣɿ֤౎ಓ෎ݝܯ࡯ௐ΂  ਓޱ౰ͨΓަ௨ࣄނ݅਺ʢ೥ʣɿަ௨ࣄނ૯߹෼ੳηϯλʔௐ΂ # རศ౓  ਓޱ౰ͨΓখചൢചֹʢ೥ʣɿ૯຿লɾܦࡁ࢈ۀলʮܦࡁηϯαε׆ಈௐࠪʯ  ਓޱ౰ͨΓେن໛খചళళฮ໘ੵʢ೥ʣɿ౦༸ܦࡁʮશࠃେܕখചళ૯ཡʯ  Մॅ஍໘ੵ౰ͨΓҿ৯ྉ඼খചࣄۀॴ਺ʢ೥݄ʣɿ૯຿লɾܦࡁ࢈ۀলʮܦࡁηϯαε׆ಈௐࠪʯ  ਓޱ౰ͨΓҿ৯ళ਺ʢ೥݄ʣ૯຿লɾܦࡁ࢈ۀলʮܦࡁηϯαε׆ಈௐࠪʯ $ շద౓  సग़ೖਓޱൺ཰ʢ೥ʣɿ૯຿লʮॅຽجຊ୆ாʹجͮ͘ਓޱɺਓޱಈଶٴͼੈଳ਺ʯ  ਫಓྉۚʢ೥݄ʣɿ౦༸ܦࡁௐ΂  Ԛਫॲཧਓޱීٴ཰ʢ೥݄ʣɿࠃ౔ަ௨লɺ೶ྛਫ࢈লɺ؀ڥলௐ΂  ؾީʢ݄ฏۉ࠷ߴɾ࠷௿ؾԹɺ೔র࣌ؒɺ࠷ਂੵઇʣʢʙ೥ʣɿؾ৅ிʮϝογϡฏ೥஋σʔλʯ  ౎ࢢܭը۠Ҭਓޱ౰ͨΓ౎ࢢެԂ໘ੵʢ೥݄ʣɿࠃ౔ަ௨লʮ౎ࢢެԂ੔උਫ४ௐॻʯ % ෋༟౓  ࡒ੓ྗࢦ਺ʢ೥౓ʣɿ૯຿লʮࢢொଜผܾࢉঢ়گௐʯ  ਓޱ౰ͨΓ๏ਓࢢຽ੫ʢ೥౓ʣ
    ɿ૯຿লʮࢢொଜผܾࢉঢ়گௐʯ  ೲ੫ٛ຿ऀਓ౰ͨΓॴಘʢ೥ʣɿ૯຿লʮࢢொଜ੫՝੫ঢ়گ౳ͷௐʯ  ॅ୐౰ͨΓԆ΂চ໘ੵʢ೥݄ʣɿ૯຿লʮॅ୐ɾ౔஍౷ܭௐࠪʯ  ॅ୐஍ฏۉ஍Ձʢ೥݄ʣɿࠃ౔ަ௨লʮ౎ಓ෎ݝ஍Ձௐࠪʯ https://toyokeizai.net/articles/-/595401?page=2 ˞੨എܠͷࢦඪ͸਺஋͕ খ͍͞΄Ͳྑ͍ͱఆٛ 
57. σδλϧాԂ ౎ࢢࠃՈߏ૝ͷ ࣮ݱʹ޲͚ͨ ஍Ҭ޾෱౓ (Well-Being) ࢦඪ Ұൠࣾஂ๏ਓεϚʔτγςΟɾ ΠϯεςΟςϡʔτ ʮ஍Ҭ޾෱౓(Well-Being) ࢦඪʯ https://www.sci- japan.or.jp/LWCI/index.html Sayoko Shimoyama, LinkData 2023-10-17 57
58. Well-Being = ਎ମతɾ ਫ਼ਆతɾࣾձత ʹྑ޷ͳঢ়ଶʹ ͋Δ͜ͱ ݈߁ͱ͸ɺපؾͰ͸ͳ͍ ͱ͔ɺऑ͍ͬͯͳ͍ͱ͍͏ ͜ͱͰ͸ͳ͘ɺ೑ମతʹ΋ɺ ਫ਼ਆతʹ΋ɺ ͦͯࣾ͠ձత ʹ΋ɺ͢΂͕ͯຬͨ͞Εͨ ঢ়ଶ(Well-Being)ʹ͋Δ ͜ͱ (WHOʹΑΔఆٛ) 58 2023-10-17 SAYOKO SHIMOYAMA, LINKDATA
59. 2023-10-17 Sayoko Shimoyama, LinkData 59 Ұൠࣾஂ๏ਓεϚʔτγςΟɾΠϯεςΟςϡʔτʮ஍Ҭ޾෱౓(Well-Being) ࢦඪʯ https://www.sci-japan.or.jp/LWCI/index.html
60. ࢦඪͷߏ੒ ஍Ҭ޾෱౓ʢ8FMM#FJOHʣࢦඪ ٬؍ࢦඪ w ໿߲໨ w ެද͞Ε͍ͯΔ֤छ౷ܭσʔλ౳Λ΋ͱ ʹ4$*+BQBO͕ಠࣗʹूܭɾՃ޻ ओ؍ࢦඪ w ໿߲໨ w 4$*+BQBO͕࣮ࢪͨ͠Ξϯέʔτௐࠪ݁Ռ Λूܭ 2023-10-17 Sayoko Shimoyama, LinkData 60
61. ྫɿ ෱Ԭݝീঁࢢ ͷ٬؍ࢦඪ 2023-10-17 Sayoko Shimoyama, LinkData 61 n50ͷϥΠϯ͕શࠃฏۉ ஋ nެࣜαΠτ͔Βμο γϡϘʔυͰӾཡՄೳ https://www.sci- japan.or.jp/LWCI/index .html
62. ఆྔతͳࢦඪΛ༻ ͍ͯݱঢ়Λ೺Ѳ͠ɺ ໨ඪΛઃఆͯ͠ ਐ௙Λ؅ཧ͢Δ ീঁࢢͷLWCࢦඪͷ μογϡϘʔυ https://www.sci- japan.or.jp/LWCI/index.ht ml Sayoko Shimoyama, LinkData 2023-10-17 62
63. ߦ੓ػؔͷอ༗σʔλΛར׆༻͢Δํ๏ ͸େ͖͘෼͚ͯ2छྨ 2023-10-17 Sayoko Shimoyama, LinkData 63 ߦ੓อ༗σʔλ ͷར׆༻ ૊৫಺෦Ͱͷ ར׆༻ ૊৫֎෦Ͱͷ ར׆༻ • ݱঢ়೺Ѳ • ۀ຿ޮ཰Խ • &#1. ʜFUD ΦʔϓϯσʔλΛ௨ͨ͡ • ׭ຽڠಇʹΑΔ஍Ҭ ՝୊ղܾ • Ϗδωε૑ग़ɾଅਐ • ߦ੓ػೳͷߴ౓Խ ʜFUD
64. ඪ४తͳόε৘ใ ϑΥʔϚοτʹΑΔ ެڞަ௨Φʔϓϯ σʔλ ࠃ౔ަ௨ল͕੔උͨ͠ ʮඪ४తͳόε৘ใϑΥʔ Ϛοτʢ(5'4+1ʣʯͰ όεࣄۀऀ͕Φʔϓϯσʔλ Λެ։͢Δ͜ͱͰɺ෯޿͍ ׆༻͕Մೳʹ 4":0,0
    4)*.0:"."
    -*/,%"5"   ग़యɿʮ
    (5'4+1
    ඪ४తͳόε৘ใϑΥʔϚοτʹΑΔ ެڞަ௨Φʔϓϯσʔλ࠷৽ঢ়گʯҏ౻ণؽࢯʢ౦ژେֶ ੜ࢈ٕज़ݚڀॴʣ IUUQTXXXSPTFO[VDPNOFUNJFSVCVTGPSNBU@QPTUFS@QEG
65. Ϣʔβࢹ఺Ͱ ͷ৘ใൃ৴ͷ ඞཁੑ ग़యɿ Ѫඤͷެڞަ௨৘ใൃ৴Λύϫʔ Ξοϓ͢ΔͨΊͷΦϯϥΠϯηϛ φʔʢʣ ʮ࣏ࣗମ৬һʹΑΔ(5'4+1ͷ੔ උͱ׆༻ʯ ૯຿ল஍Ҭ৘ใԽΞυόΠβʔ ௯২
    ྑޗࢯ 4":0,0
    4)*.0:"."
    -*/,%"5"  
66. αʔϏεͷ ड͚ख͸ ͞·͟· 4":0,0
    4)*.0:"."
    -*/,%"5"   ग़యɿ Ѫඤͷެڞަ௨৘ใൃ৴Λύϫʔ Ξοϓ͢ΔͨΊͷΦϯϥΠϯηϛ φʔʢʣ ʮ࣏ࣗମ৬һʹΑΔ(5'4+1ͷ੔ උͱ׆༻ʯ ૯຿ল஍Ҭ৘ใԽΞυόΠβʔ ௯২
    ྑޗࢯ
67. σʔλ͕ඪ४Խ ͞Ε͍ͯΔͱ ׆༻͠΍͍͢ 4":0,0
    4)*.0:"."
    -*/,%"5"   ग़యɿ Ѫඤͷެڞަ௨৘ใൃ৴Λύϫʔ Ξοϓ͢ΔͨΊͷΦϯϥΠϯηϛ φʔʢʣ ʮ࣏ࣗମ৬һʹΑΔ(5'4+1ͷ੔ උͱ׆༻ʯ ૯຿ল஍Ҭ৘ใԽΞυόΠβʔ ௯২
    ྑޗࢯ
68. σʔλ͕ඪ४Խ ͞Ε͍ͯΔͱ ૊Έ߹Θͤͯ ׆༻͠΍͍͢ 4":0,0
    4)*.0:"."
    -*/,%"5"   ग़యɿ Ѫඤͷެڞަ௨৘ใൃ৴Λύϫʔ Ξοϓ͢ΔͨΊͷΦϯϥΠϯηϛ φʔʢʣ ʮ࣏ࣗମ৬һʹΑΔ(5'4+1ͷ੔ උͱ׆༻ʯ ૯຿ল஍Ҭ৘ใԽΞυόΠβʔ ௯২
    ྑޗࢯ
69. (5'4+1͸ ࡞੒ิॿ πʔϧ΋ॆ࣮ 4":0,0
    4)*.0:"."
    -*/,%"5"   ग़యɿ Ѫඤͷެڞަ௨৘ใൃ৴Λύϫʔ Ξοϓ͢ΔͨΊͷΦϯϥΠϯηϛ φʔʢʣ ʮ࣏ࣗମ৬һʹΑΔ(5'4+1ͷ੔ උͱ׆༻ʯ ૯຿ল஍Ҭ৘ใԽΞυόΠβʔ ௯২
    ྑޗࢯ
70. 561ஂମ͕ όε৘ใΛ Φʔϓϯσʔλ ͱͯ͠ඪ४ܗࣜ Ͱެ։த  SAYOKO SHIMOYAMA, LINKDATA 70 ग़యɿ
    (5'4+1
    ඪ४తͳόε৘ใ ϑΥʔϚοτ
    ೥݄ݱࡏ IUUQTXXXHUGTKQ
71. 4BZPLP
    4IJNPZBNB
    -JOL%BUB  Data is the new oil. σʔλ͸৽ͨͳ ੴ༉Ͱ͋Δ ͱݴ͏ͷ͸ ΋͏ݹ͍ʁ 
72. 4BZPLP
    4IJNPZBNB
    -JOL%BUB  Data is the new soil. σʔλ͸ ৽ͨͳ ౔৕Ͱ͋Δ %BWJE
    .D$BOEMFTT
    5&%(MPCBM
     
73. Ұൠࣾஂ๏ਓϦϯΫσʔλ ୅දཧࣄ Լࢁ ࣿ୅ࢠ Email: support@linkdata.org ຊࢿྉʹؔ͢Δ࣭͝໰ɾ͝ҙݟ΍ɺ σʔλ׆༻ݚमɾϫʔΫγϣοϓ։࠵ͷ͝૬ஊͳͲ͸ ͪ͜Β΁͓د͍ͤͩ͘͞ɻ 2023-01-30 Sayoko Shimoyama, LinkData 73