SQLを活用したデータ分析におけるChatGPTの活用法

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1. 42-Λ׆༻ͨ͠σʔλ෼ੳʹ͓͚Δ$IBU(15ͷ׆༻๏ 
   ߴڮ
   ޫ ୈճ
   ҙࢥܾఆͷͨΊͷσʔλ෼ੳษڧձ
2. © 
   )JLBSV
   5BLBIBTIJ  MJHIU ߴڮ
   ޫ )JLBSV
   5BLBIBTIJ ࣗݾ঺հ 1SPpMF ෳۀͰϓϩόεέοτϘʔϧϦʔάͷΫϥϒνʔϜͰϚʔέςΟϯάετϥςδετͱͯ͠ σʔλ෼ੳͷαϙʔτΛߦͬͨΓɺͦͷଞෳ਺ࣾͰ42-Λ׆༻ͨ͠σʔλ෼ੳͷαϙʔτܦ ݧ͋Γɻʰσʔλ෼ੳྗΛߴΊΔ
   ϏδωεύʔιϯͷͨΊͷ42-ೖ໳ʱͷஶॻɻ
   ୈճ
   ҙࢥܾఆͷͨΊͷσʔλ෼ੳษڧձʹͯʰҙࢥܾఆʹܨ͛ΔͨΊͷҼՌਪ࿦ʢ%*%ʣ ͱ1ZUIPOʹΑΔ$BVTBM*NQBDUʱͰൃදɻ ຊۀ ෳۀɾݸਓ׆ಈ ೥ʹ৽ଔͰϠϑʔגࣜձࣾʹೖࣾ͠ɺ8FCΤϯδχΞͱͯ͠αʔϏεͷ։ൃɺӡ༻ɺاըɺ ఏҊͳͲΛ୲౰ɻ೥͔Β͸גࣜձࣾΠʔϒοΫΠχγΞςΟϒδϟύϯʹग़޲͠ɺࣾ಺Ͱ σʔλαΠΤϯεάϧʔϓΛ্ཱͪ͛άϧʔϓϚωδϟʔ ෦௕ ͱͯࣾ͠಺ͷσʔλ׆༻Λଅਐɻ
   ೥͔Β֎ࢿܥίϯαϧςΟϯάاۀʹೖࣾ͠σʔλΛ׆༻ͨ͠ϚʔέςΟϯάࢧԉΛ࣮ࢪɻ
3. <13>
   σʔλ෼ੳྗΛߴΊΔ
   ϏδωεύʔιϯͷͨΊͷ42-ೖ໳ ઈࢍൃചத w42-͕શ͘Θ͔Βͳ͍ਓ͕ಡΜͰ΋σʔλ෼ੳͰ ࢖͏جຊతͳ42-͕͜ͷ࡭Ͱֶ΂Δ
   wϏδωεॻͱͯ͠ಡΈ΍͍͢ϖʔδʹऩ·Δ಺༰
   wϋϯζΦϯܗࣜͰ࣮ફΛҙࣝͨ͠42-ֶ͕΂Δ IUUQTXXXBNB[PODPKQEQ ೥݄ൃച
4. <13>
   σʔλ෼ੳྗΛߴΊΔ
   ϏδωεύʔιϯͷͨΊͷ42-ೖ໳ ઈࢍൃചத w42-͕શ͘Θ͔Βͳ͍ਓ͕ಡΜͰ΋σʔλ෼ੳͰ ࢖͏جຊతͳ42-͕͜ͷ࡭Ͱֶ΂Δ
   wϏδωεॻͱͯ͠ಡΈ΍͍͢ϖʔδʹऩ·Δ಺༰
   wϋϯζΦϯܗࣜͰ࣮ફΛҙࣝͨ͠42-ֶ͕΂Δ IUUQTXXXBNB[PODPKQEQ ೥݄ൃച $IBU(15͕͋Ε͹42-֮͑Δඞཁ͸ͳ͍ʂʁ
5. ΞδΣϯμ "HFOEB σʔλ෼ੳʹ͓͚ΔͭͷTUFQ $IBU(15Λ׆༻ͨ͠σʔλ෼ੳʹ͓͚Δ42-ͷੜ੒  
6. ΞδΣϯμ "HFOEB σʔλ෼ੳʹ͓͚ΔͭͷTUFQ $IBU(15Λ׆༻ͨ͠σʔλ෼ੳʹ͓͚Δ42-ͷੜ੒  
7. © 
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   5BLBIBTIJ  छྨͷσʔλ෼ੳ σʔλ෼ੳʹ͓͚ΔͭͷTUFQ w՝୊΍Ծઆ͕͋ͬͯͦΕΛσʔλΛ࢖ ͬͯݕূ͢ΔͨΊͷ෼ੳ wσʔλΛݟͳ͕Β՝୊΍ԾઆΛߟ͑Δ ͨΊͷ෼ੳ
   w&%"ʢ&YQMBOBUPSZ
   %BUB
   "OBMZTJTʣ Ծઆݕূܕσʔλ෼ੳ ୳ࡧܕσʔλ෼ੳ σʔλ෼ੳΛҙࢥܾఆʹͭͳ͛ΔͨΊʹ͸Ծઆݕূܕ෼ੳ͕ॏཁ
8. © 
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   5BLBIBTIJ  σʔλ෼ੳͰҙࢥܾఆʹͭͳ͛ΔͨΊͷͭͷTUFQ σʔλ෼ੳʹ͓͚ΔͭͷTUFQ        TUFQ TUFQ TUFQ TUFQ TUFQ TUFQ TUFQ ՝୊ Ծઆ ૝ఆ ෼ੳ ݁Ռ ߟ࡯ ߦಈ w ͳͥ෼ੳΛ͢Δ ͷ͔ʢ8IZʣ
   w ͦ΋ͦ΋ͷ՝୊ Λઃఆ͢Δ w ෼ੳΛ͢Δ͜ͱ Ͱ໌Β͔ʹͨ͠ ͍͜ͱ͸Կ͔ɺ ͦͷͨΊʹͲΜ ͳԾઆ͕͋Δͷ ͔Λߟ͑Δ
   w ෼ੳͱ͸ԾઆΛ ݕূ͢Δ͜ͱ w ෼ੳ݁Ռ͕෼ ͔ͬͨΒͲΜͳ ҙࢥܾఆ͕Ͱ͖ Δ͔ʁ
   w ࣄલʹ૝ఆΞΫ γϣϯΛߟ͑ͯ ͓͘͜ͱͰ෼ੳ ͔Βҙࢥܾఆ͠ ΍͘͢͢Δ w ͲͷΑ͏ʹ෼ੳ Λߦ͏͔ʁ
   w ۩ମతͳ෼ੳख ஈɻ42-Λ࢖ͬ ͨ෼ੳ΍ 1ZUIPOΛ࢖ͬ ͨ෼ੳͳͲ w ࡍͷ෼ੳ݁Ռ͕ Ͳ͏ͩͬͨͷ ͔ʁ
   w ਺஋ͱͯ͠ͷ ϑΝΫτ৘ใΛ ·ͱΊΔ w ෼ੳ݁Ռ͔ΒͲ ͷΑ͏ͳղऍ͕ Ͱ͖Δͷ͔ɺͲ ΜͳఏҊ͕Ͱ͖ ͦ͏͔ʁ
   w ϑΝΫτ৘ใΛ ͲͷΑ͏ʹղऍ ͯ͠ɺͲΜͳࣔ ࠦΛग़͔͢ w ෼ੳ݁ՌΛड͚ ͯ࣍ͷΞΫγϣ ϯ͸Ͳ͏͢Δͷ ͔ʁ
   w ͲΜͳҙࢥܾఆ Λͨ͠ͷ͔ʢ͢ Δͷ͔ʣ
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   5BLBIBTIJ  σʔλ෼ੳʹ͓͚ΔͭͷTUFQɹ۩ମྫ σʔλ෼ੳʹ͓͚ΔͭͷTUFQ        TUFQ TUFQ TUFQ TUFQ TUFQ TUFQ TUFQ ՝୊ Ծઆ ૝ఆ ෼ੳ ݁Ռ ߟ࡯ ߦಈ w ೥͔Β&$ αΠτͷച্͕ Լ͕͍ͬͯΔɻ &$αΠτͷച্ Λ্͛ΔͨΊʹ Ͳ͏͢Ε͹ྑ͍ ͔ w ঎඼"Λߪೖ͠ ͍ͯΔϢʔβʔ ͸঎඼#΋Ұॹ ʹߪೖ͍ͯ͠Δ ͷͰ͸ͳ͍͔ w ঎඼"Λങͬͯ Δਓʹ঎඼#Λ ϝʔϧͰ͓קΊ ͢Δ w %8)͔Β42- Λ࢖ͬͯόε έοτ෼ੳΛ࣮ ࢪ w ঎඼"Λߪೖ͠ ͍ͯΔਓ͕ ਓ
   w ͦͷ͏ͪ঎඼# Λߪೖ͍ͯ͠Δ ਓ͕ਓ
   w ͦͷ͏ͪ঎඼$ Λߪೖ͍ͯ͠Δ ਓ͕ਓ w ঎඼"͸঎඼# ΑΓ΋঎඼$ͷ ํ͕ҰॹʹങΘ Ε͓ͯΓɺ঎඼ "ͱ঎඼$ͷ૬ ੑ͕Α͍ w ঎඼"Λߪೖ͠ ͯ঎඼$Λߪೖ ͍ͯ͠ͳ͍ਓʹ ঎඼$ͷׂҾ ΫʔϙϯΛϝʔ ϧͰ഑෍͢Δ͜ ͱΛܾఆ
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    )JLBSV
    5BLBIBTIJ  $IBU(15ʹΑͬͯஔ͖׵ΘΔ΋ͷɾஔ͖׵ΘΒͳ͍΋ͷ σʔλ෼ੳʹ͓͚ΔͭͷTUFQ        TUFQ TUFQ TUFQ TUFQ TUFQ TUFQ TUFQ ՝୊ Ծઆ ૝ఆ ෼ੳ ݁Ռ ߟ࡯ ߦಈ º ˓ ˚ ˕ ˕ ˚ º ՝୊ͷઃఆ͸ਓ͕ߦ͏͕ɺ՝୊͕ܾ· Ε͹ԾઆΛग़͢͜ͱ΋$IBU(15Ͱ୅ ସՄೳ σʔλͷղऍ͸Ұൠ࿦ ͱͯ͠͸$IBU(15ͰҰ ఆͷߟ࡯ม͑ΒΕΔ͕ ҙࢥܾఆ͸ਓ͕ؒߦ͏ 1ZUIPO΍42-Λ࢖ͬͨ ۩ମతͳ෼ੳ͸ $IBU(15ʹΑͬͯ୅ସ ͞Ε΍͍͢
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    5BLBIBTIJ  42-Λ࢖ͬͨσʔλ෼ੳ σʔλ෼ੳʹ͓͚ΔͭͷTUFQʮ෼ੳɾ݁Ռʯ େاۀͳͲͰΑ͋͘ΔҰൠతͳσʔλ෼ੳ؀ڥ 42- 42- ෼ੳ݁Ռ σʔλ 42-Λ࢖͏͜ͱͰͦͷ࣌ʑʹԠͯ͡ඞཁͳσʔλ Λૉૣ͘ूܭ͢Δ͜ͱ͕Ͱ͖Δ w 42-͕࢖͑Δͱ൚༻తʹσʔλ෼ੳʹ࢖͑Δ
    w ͔͠͠42-Λ࢖ͬͨ෼ੳ͸$IBU(15ʹஔ͖׵Θͬͯ͠·͏ʂʁ جװγεςϜ %8)ʢσʔλ΢ΣΞϋ΢ε
    ʣ #*πʔϧ
12. ΞδΣϯμ "HFOEB σʔλ෼ੳʹ͓͚ΔͭͷTUFQ $IBU(15Λ׆༻ͨ͠σʔλ෼ੳʹ͓͚Δ42-ͷੜ੒  
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    )JLBSV
    5BLBIBTIJ  $IBU(15Λ࢖ͬͯ42-Λࣗಈੜ੒͢Δπʔϧ $IBU(15Λ׆༻ͨ͠σʔλ෼ੳʹ͓͚Δ42-ͷੜ੒ IUUQTTRMDSFBUPSDPNIPNF 42-
    $3&"503 w $IBU(15Λ࢖ͬͨ42-ੜ੒πʔϧ
    w ςʔϒϧఆٛΛઃఆ͢Δ͜ͱͰࣗવݴ ޠͰ42-ͷ࡞੒͕Ͱ͖Δπʔϧ
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    5BLBIBTIJ  42-
    $3&"503 $IBU(15Λ࢖ͬͯ42-Λࣗಈੜ੒͢Δπʔϧ ςʔϒϧఆٛΛઃఆͯ͠ɺ42-Λੜ੒ͯ͘͠ΕΔπʔϧ
15. © 
    )JLBSV
    5BLBIBTIJ  ͭͷύλʔϯͰ42-ͷ݁ՌΛൺֱ $IBU(15Λ׆༻ͨ͠σʔλ෼ੳʹ͓͚Δ42-ͷੜ੒ ᶃਓؒ ᶄ$IBU(15 ᶅ42-
    $3&"503
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    5BLBIBTIJ  $IBU(15ͷϓϩϯϓτ $IBU(15Λ׆༻ͨ͠σʔλ෼ੳʹ͓͚Δ42-ͷੜ੒ ࣍ͷ৚݅ʹै͍ɺ
    ೥ͷ೥ؒͷϢʔβʔ͝ͱͷߪ ೖ݅਺ʹԠͯ͡
    ).- ϔ
    ϏʔɺϛυϧɺϥΠτ ʹ෼ ྨ͠ɺ).-͝ͱͷϢʔβʔ਺Λूܭͯͩ͘͠͞
    ͍ɻ ·ͨɺ͜ͷͱ͖Ϣʔβʔ৘ใ͕ۭͷσʔλͱΩϟϯη ϧͷ͋Δߪೖσʔλ
    ͸আ֎͍ͯͩ͘͠͞ɻ
    ϔϏʔ೥ؒͷߪೖ݅਺͕
    
    ݅Ҏ্
    ϛυϧ೥ؒͷߪೖ݅਺͕
    
    ݅Ҏ্ɺ
    ݅ະຬ
    ϥΠτ೥ؒͷߪೖ݅਺͕
    
    ݅ະຬ ˞ʰσʔλ෼ੳྗΛߴΊΔ
    ϏδωεύʔιϯͷͨΊͷ42-ೖ໳ʱୈষ
    ԋश໰୊ΑΓ ࣄલʹςʔϒϧͷεΩʔϚΛΠϯϓοτ ໰୊ʢϓϩϯϓτʣ &$αΠτͰ).-෼ੳΛߦ͏ྫ
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    5BLBIBTIJ  ਓ͕ॻ͍ͨ42-ͱ$IBU(15͕ॻ͍ͨ42-ͷൺֱ $IBU(15Λ׆༻ͨ͠σʔλ෼ੳʹ͓͚Δ42-ͷੜ੒ ᶃਓؒ ᶄ$IBU(15 ᶅ42-
    $3&"503 WITH hml_users AS( SELECT user_id, CASE WHEN COUNT(DISTINCT order_id) >= 500 THEN 'ϔϏʔ' WHEN COUNT(DISTINCT order_id) >= 300 THEN 'ϛυϧ' ELSE 'ϥΠτ' END AS hml FROM orders WHERE user_id IS NOT NULL AND order_date BETWEEN '2022-01-01' AND '2022-12-31' AND is_canceled = 0 GROUP BY user_id ) SELECT hml, COUNT(DISTINCT user_id) AS uu FROM hml_users GROUP BY hml SELECT CASE WHEN order_counts >= 500 THEN 'ϔϏʔ' WHEN order_counts >= 300 AND order_counts < 500 THEN 'ϛυϧ' ELSE 'ϥΠτ' END AS hml, COUNT(DISTINCT orders.user_id) AS user_count FROM orders JOIN ( SELECT user_id, COUNT(*) AS order_counts FROM orders JOIN products ON orders.order_product_id = products.product_id WHERE orders.is_canceled = 0 AND orders.order_date >= '2022-01-01' AND orders.order_date < '2023-01-01' GROUP BY user_id ) AS user_orders ON orders.user_id = user_orders.user_id WHERE orders.is_canceled = 0 AND orders.order_date >= '2022-01-01' AND orders.order_date < '2023-01-01' GROUP BY hml; SELECT CASE WHEN purchases_per_user.user_purchases >= 500 THEN 'ϔϏʔ' WHEN purchases_per_user.user_purchases >= 300 THEN 'ϛυϧ' ELSE 'ϥΠτ' END AS HML, COUNT(DISTINCT orders.user_id) AS user_count FROM orders INNER JOIN ( SELECT user_id, COUNT(*) AS user_purchases FROM orders WHERE orders.is_canceled = 0 AND orders.order_date BETWEEN '2022-01-01' AND '2022-12-31' GROUP BY user_id ) AS purchases_per_user ON orders.user_id = purchases_per_user.user_id INNER JOIN users ON orders.user_id = users.user_id AND users.is_deleted = 0 GROUP BY HML;
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    5BLBIBTIJ  ਓ͕ॻ͍ͨ42-ͱ$IBU(15͕ॻ͍ͨ42-ͷൺֱ $IBU(15Λ׆༻ͨ͠σʔλ෼ੳʹ͓͚Δ42-ͷੜ੒ ᶃਓؒ ᶄ$IBU(15 ᶅ42-
    $3&"503 ˓ ˕ ˚ w ݁Ռ͸ਖ਼ղ͕ͩগ͠42- ͕৑௕ w ༨෼ͳ৚͕݅ೖͬͯඍົ ʹҧ͏݁Ռ
    w 42-͕গ͠৑௕ w XJUI۟Λ࢖ͬͯՄಡੑͷ ߴ͍42-Λҙࣝ
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    5BLBIBTIJ  $IBU(15Ͱ42-Λग़ྗ͢Δ࣌ͷϙΠϯτ ϓϩϯϓτΛมߋͯ͠42-Λग़ྗ ࣍ͷ৚݅ʹै͍ɺ
    ೥ͷ೥ؒͷϢʔβʔ͝ͱͷߪೖ݅਺ʹԠͯ͡
    ).- ϔ
    ϏʔɺϛυϧɺϥΠτ ʹ ෼ྨ͠ɺ).-͝ͱͷϢʔβʔ਺Λूܭͯͩ͘͠͞
    ͍ɻ·ͨɺ͜ͷͱ͖Ϣʔβʔ৘ใ͕ۭͷσʔλͱΩϟ ϯηϧͷ͋Δߪೖσʔλ͸আ֎͍ͯͩ͘͠͞ɻσʔλϕʔε͸42-JUFͰ͢ɻ·ͨɺ42-͸XJUI۟Λ࢖ͬ ͯՄಡੑͷߴ͍42-ʹ͍ͯͩ͘͠͞ɻ
    ϔϏʔ೥ؒͷߪೖ݅਺͕
    
    ݅Ҏ্
    ϛυϧ೥ؒͷߪೖ݅਺͕
    
    ݅Ҏ্ɺ
    ݅ະຬ
    ϥΠτ೥ؒͷߪೖ݅਺͕
    
    ݅ະຬ ໰୊ʢϓϩϯϓτʣ ✔࢖͍ͬͯΔσʔλϕʔεΛࢦఆ͢Δʢ42-JUFɺ.Z42-ɺ1PTUHSF42-ͳͲʣ
    ✔ʮXJUI۟Λ࢖ͬͯʯͳͲՄಡੑΛߴΊΔΑ͏ʹ໌ࣔతʹࢦఆ͢Δ $IBU(15Ͱ42-Λग़ྗ͢Δ࣌ͷϙΠϯτ
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    5BLBIBTIJ  ଟগ͸վળ͞ΕΔ͕·ͩ৑௕ͳ42- $IBU(15Λ׆༻ͨ͠σʔλ෼ੳʹ͓͚Δ42-ͷੜ੒ ᶄ$IBU(15 ᶅ42-
    $3&"503 WITH -- 2022೥ʹ஫จ͞Εͨߪೖσʔλͷநग़ order_2022 AS ( SELECT * FROM orders WHERE order_date BETWEEN '2022-01-01' AND '2022-12-31' AND is_canceled = 0 ), -- Ϣʔβʔ͝ͱͷ೥ؒߪೖ݅਺ͷܭࢉ user_purchase_count AS ( SELECT user_id, COUNT(DISTINCT order_id) AS purchase_count FROM order_2022 GROUP BY user_id ), -- ϢʔβʔΛHML͝ͱʹ෼ྨ͢Δ user_hml AS ( SELECT user_id, CASE WHEN purchase_count >= 500 THEN 'ϔϏʔ' WHEN purchase_count >= 300 THEN 'ϛυϧ' ELSE 'ϥΠτ' END AS hml FROM user_purchase_count ), -- HML͝ͱͷϢʔβʔ਺Λूܭ͢Δ hml_user_count AS ( SELECT hml, COUNT(DISTINCT user_id) AS user_count FROM user_hml GROUP BY hml ) -- ࠷ऴతͳग़ྗ݁Ռ SELECT hml, user_count FROM hml_user_count ORDER BY hml DESC WITH purchase_counts AS ( SELECT user_id, COUNT(*) AS cnt FROM orders WHERE is_canceled = 0 AND order_date BETWEEN '2022-01-01' AND '2022-12-31' GROUP BY user_id ) SELECT CASE WHEN cnt >= 500 THEN 'ϔϏʔ' WHEN cnt >= 300 THEN 'ϛυϧ' ELSE 'ϥΠτ' END AS HML, COUNT(*) AS user_count FROM purchase_counts JOIN users ON purchase_counts.user_id = users.user_id WHERE users.is_deleted = 0 GROUP BY HML;
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    5BLBIBTIJ  (PPHMFͷੜ੒"*
    ʰ#BSEʱ 0OF
    NPSF
    UIJOH IUUQTCBSEHPPHMFDPN #BSE w (PPHMF͕։ൃͨ͠ੜ੒త"*Ͱɺ࠷৽ͷ"* ج൫Ϟσϧʮ1B-.
    ʯΛར༻
    
    w ೥݄೔࣌఺Ͱ΢ΣΠτϦετ͕ ͳ͘ͳΓΧࠃҎ্ͰӳޠͰͷར༻͕ ՄೳʹͳΓɺ೔ຊޠʹ΋ରԠ
    w ೥݄೔࣌఺Ͱ͸ʮࢼݧӡ༻൛ʯ
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    5BLBIBTIJ  (PPHMFͷੜ੒"*
    ʰ#BSEʱ 0OF
    NPSF
    UIJOH #BSE SELECT COUNT(DISTINCT user_id) AS user_count, CASE WHEN COUNT(order_id) >= 500 THEN 'ϔϏʔ' WHEN COUNT(order_id) >= 300 AND COUNT(order_id) < 500 THEN 'ϛυϧ' WHEN COUNT(order_id) < 300 THEN 'ϥΠτ' END AS category FROM orders WHERE user_id IS NOT NULL AND is_canceled = FALSE AND order_date BETWEEN '2022-01-01' AND '2022-12-31' GROUP BY category; w ΤϥʔͰ࣮ߦ݁Ռ͕ฦͬͯ͜ͳ͍
    w ͨͩ͠ɺ#BSE͸ෳ਺ͷճ౴͕ฦͬ ͯ͘ΔͷͰɺҰ෦ਖ਼ղ΋ฦͬͯ͘Δ º
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    5BLBIBTIJ  ·ͱΊ 4VNNBSZ σʔλ෼ੳʹ͸̓ͭͷTUFQ͕͋Γ$IBU(15ͳͲͷ"*ʹΑͬͯ୅ ସ͞ΕΔ෦෼ͱ͞Εͳ͍෦෼͕͋Δ  w ద੾ͳ໰͍ͷઃఆʢ՝୊ʣͱҙࢥܾఆʢߦಈʣ͸୅ସ͞Εͳ͍
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