Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
「データビジュアライゼーションによる合意形成の活性化」
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Yuichi Yazaki
August 22, 2016
Research
550
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
「データビジュアライゼーションによる合意形成の活性化」
Yuichi Yazaki
August 22, 2016
More Decks by Yuichi Yazaki
See All by Yuichi Yazaki
Data visualization to expand your skills as a creator
n1n9
0
370
世界の行政機関 情報可視化 事例
n1n9
0
2.4k
コロナ禍におけるデータ可視化
n1n9
2
250
発信者主体の情報可視化作品作りにおけるスケッチの行い方考察
n1n9
2
830
残された我々のための「データ・ヒューマニティ」
n1n9
6
2k
Open Data Day logo generator
n1n9
0
350
データビジュアライゼーション講習のご案内
n1n9
0
450
IxDA Tokyo #3 Community Talk: Dissolving boundaries, building connections.
n1n9
0
1.3k
ハッカーズチャンプルー2017「データ・ビジュアライゼーションによる 地域や社会との関わり方」
n1n9
0
1.3k
Other Decks in Research
See All in Research
進学校の生徒にはア行の苗字が多いのか
ozekinote
0
550
MM-OVSeg: Multimodal Optical–SAR Fusion for Open-Vocabulary Segmentation in Remote Sensing
satai
3
120
Claude Code × autoresearch 実践
mathbullet
0
250
Karkada さんの論文 × 2 の紹介: (1) Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models, (2) Symmetry in language statistics shapes the geometry of model representations
eumesy
PRO
1
370
Using our influence and power for patient safety
helenbevan
0
410
Language and AI
ayaniwa
0
220
2026年度 生成AI を活用した論文執筆ガイド/ワークショップ / 2026 Academic Year Guide to Writing Papers Using Generative AI - Workshop
ks91
PRO
0
220
JICA QUEST 共創×革新プログラム Impact Report(海ノ向こうコーヒー)
ontheslope
0
460
SOTAのさらに先へ:厳しい推論制約下での高性能モデルのPost-Training
analokmaus
0
1.5k
CVPR2026論文紹介_VLMにとって良いvision encoderとは何か?Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance
kobayashi31
1
200
【中間報告】国会議員の立法・政策実務を支える環境を巡る現状と課題
polipoli
0
500
Sleuthcon Keynote - How Cybercriminals (ab)use AI
fr0gger
0
300
Featured
See All Featured
Claude Code のすすめ
schroneko
67
230k
DBのスキルで生き残る技術 - AI時代におけるテーブル設計の勘所
soudai
PRO
68
57k
Optimising Largest Contentful Paint
csswizardry
37
3.9k
Reality Check: Gamification 10 Years Later
codingconduct
0
2.3k
How to build an LLM SEO readiness audit: a practical framework
nmsamuel
1
880
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
9
1.5k
Max Prin - Stacking Signals: How International SEO Comes Together (And Falls Apart)
techseoconnect
PRO
0
430
WCS-LA-2024
lcolladotor
0
810
Reflections from 52 weeks, 52 projects
jeffersonlam
356
21k
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
35
2.8k
A Guide to Academic Writing Using Generative AI - A Workshop
ks91
PRO
1
390
B2B Lead Gen: Tactics, Traps & Triumph
marketingsoph
0
220
Transcript
ΞʔόϯσʔλνϟϨϯδ!ೆ ςʔϚʮެڞࢪઃʯ ࡚༟Ұ ʮσʔλϏδϡΞϥΠθʔγϣϯʹΑΔ ߹ҙܗͷ׆ੑԽʯ
ίϛϡχςΟ׆ಈ $PNNVOJUZ"DUJWJUJFT
σʔλɾϏδϡΞϥΠθʔ γϣϯɾδϟύϯ PWFSQFPQMF EFTJHOFS QSPHSBNNFS BOBMZ[FSKPVSOBMJTU 'BDFCPPLHSPVQ POMJOFEJTDVTTJPO NFFUVQIBOETPO GPVOEFS
PWFSQFPQMF EFTJHOFS QSPHSBNNFS KPVSOBMJTU MPDBMHPW QFPQMFDJUJ[FO 'BDFCPPLHSPVQ NFFUVQ XPSLTIPQIBOETPO GPVOEFS PWFSQFPQMF .FEJDBMEPNBJOQFPQMF EPDUPSBOBMZ[FS 'BDFCPPLHSPVQ POMJOFEJTDVTTJPONFFUVQ PSHBOJ[FUFBN ҩྍϏοάσʔλ ษڧձ PWFSQFPQMF KPVSOBMJTUEFTJHOFSQSPHSBNNFS XIPXPSLTGPSOFXTQBQFSDPNQBOZ 'BDFCPPLHSPVQ NFFUVQXPSLTIPQ PSHBOJ[FUFBN 0/"+BQBO ίʔυɾϑΥʔɾ τΩϣ BCPVUQFPQMF QSBDUJUJPOFSTPGJOGPHSBQIJDT HSBQIJD SFDPSEJOHEBUBWJTVBMJ[BUJPO 'BDFCPPLHSPVQ NFFUVQ PSHBOJ[FUFBN ΦʔϓϯɾσβΠϯɾ ϥϘ QIPUPCZBLJLPZBOB
࡞ .Z8PSLT
IUUQTUSVDUVSFBOESFQSFTFOUBUJPODPNXPSLTPEE ΦʔϓϯɾσʔλɾϩΰɾδΣωϨʔλ
IUUQXXXOILPSKQOFXTGVLVTIJNBXPSEDMPVE ݪൃࣄނආऀͷ
IUUQTUSVDUVSFBOESFQSFTFOUBUJPODPNXPSLTQSFGFDUVSBM.JHSBOUT ࡾେࢢݍͷਓͷྲྀΕ
ϫʔΫγϣοϓ 8PSLTIPQT
ࠃཱࠃձਤॻؗॳͷ σʔλɾϏδϡΞϥΠθʔγϣϯɾΠϕϯτ
ํ࣏ࣗମʹ·ͭΘΔσʔλ ࢀՃऀͷ࡞ IUUQMBCOEMHPKQDNT RWJTVBMJ[F
͘·Ϟϯόʔɾνϟʔτ IUUQTXXXGBDFCPPLDPNQIPUPQIQ GCJETFUBUZQFUIFBUFS
σʔλͰֆΛඳ͘ϫʔΫγϣοϓ IUUQTNUSMOFULZPUPFWFOUT@EBUFESBXJOHXPSLTIPQ
σʔλɾϏδϡΞϥΠθʔγϣϯͱʁ What is Data Visualization?
w ΠϯϑΥάϥϑΟοΫεʢྫɿάϥϑɺԁά ϥϑͳͲʜʣʹ͍͚ۙͲɺϒϥβ্Ͱಈతʹ ಈ͘ɻ w ಈָ͍͍͚ͯͩ͠͡Όͳ͘ɺใͷΓऔΓํ ΛݟΔਓ͕બΔɻ w ༰Λࣗࣄʹ͢Δ͜ͱ͕Ͱ͖Δɻ w
ଟ༷ͳϞϊͷݟํΛఏڙͰ͖Δɻ
ίϯϐϡʔλʹཧղ͠ ͍͕͢ɺਓؒೝ ͮ͠Β͍ ਓؒͷೝೳྗʹ͋Θͤ ͯநԽ͠ɺ୯ͳΔࣈ Ͱͳ͘ɺҙຯ͋Δใ ʹมԽͤ͞Δ ใ͔ΒͳΔ΄ͲϙΠϯ τΛݟ͚ͭɺࣗ͝ͱԽ ͢Δ
ͳΔ΄Ͳʂ σʔλ ՄࢹԽ ڞײ σʔλˠՄࢹԽˠڞײ
ίʔυɾϑΥʔɾτΩϣͰͷࣄྫ "DUJWJUJFTPG$PEF'PS5PLZP
ʮ৽͍͠୯ҐΛͭ͘Δʯ
࿑ಇྗʢ̢ࣈΧʔϒʣ IUUQXXXHFOEFSHPKQBCPVU@EBOKPXIJUFQBQFSI[FOUBJIUNMIPOQFOC@T@IUNM ߦ۠ Λࡉ͔͘ ͢Δ
w ͍ͭঁੑ͔Γ͚ͩͲஉੑͲ͏ͳͷʁ w ҬʹΑͬͯҧ͍ͳ͍ͷʁ ࢢ۠ொଜϨϕϧͰ ࿑ಇྗʢ̢ࣈΧʔϒʣ IUUQXXXHFOEFSHPKQBCPVU@EBOKPXIJUFQBQFSI[FOUBJIUNMIPOQFOC@T@IUNM ߦ۠ Λࡉ͔͘ ͢Δ
۠ɾੑผग़ͯ͠Έͨ IUUQXXXHFOEFSHPKQBCPVU@EBOKPXIJUFQBQFSI[FOUBJIUNMIPOQFOC@T@IUNM ߦ۠ Λࡉ͔͘ ͢Δ ࿑ಇྗʢ̢ࣈΧʔϒʣ
۠ɾੑผग़ͯ͠Έͨ IUUQXXXHFOEFSHPKQBCPVU@EBOKPXIJUFQBQFSI[FOUBJIUNMIPOQFOC@T@IUNM ߦ۠ Λࡉ͔͘ ͢Δ ࿑ಇྗʢ̢ࣈΧʔϒʣ
ேͷ௨ۈ࣌ؒͷஈ IUUQXXXHFOEFSHPKQBCPVU@EBOKPXIJUFQBQFSI[FOUBJIUNMIPOQFOC@T@IUNM ೋͭͷࢦ ඪͷׂΓ ࢉ ࿑ಇྗʢ̢ࣈΧʔϒʣ IUUQTESJWFHPPHMFDPNpMFE#US-#(+L;8U&D5'+4E[0).WJFX IUUQTEPDTHPPHMFDPNTQSFBETIFFUTEH44WP2J9/27'E5NVC#N;S-#J/@P7NK4;CF"O1,42FEJU VTQTIBSJOH Ոฏۉʸ௨ۈ࣌ؒฏۉ
IUUQIPJLVFONBQDPEFGPSUPLZP 5PLZPอҭԂϚοϓЌ൛
IUUQTXXXGBDFCPPLDPNFWFOUT BDUJWF@UBCQPTUT σʔλ͔ΒอҭԂΛߟ͑Δ$JWJD)BDL/JHIU5PLZP
w อҭ࢜ɺอҭॴɺػࣇಐɺอҭॴͷӡӦऀͱ͍͏ͦ ΕͧΕʹ͍ͭͯɺϚΫϩͳࢹ͔ΒͷσʔλΛ֓؍ɻ IUUQTTQFBLFSEFDLDPNDPEFGPSUPLZPEFUBLBSBCBPZVZVBOXPLBPFSV σʔλ͔ΒอҭԂΛߟ͑Δ$JWJD)BDL/JHIU5PLZP
IUUQXXXBNB[PODPKQEQ ʮষݩͰϫʔΫγϣοϓΛ։͜͏ʯΛ$PEF'PS5PLZPͰ୲
IUUQTSFTBTHPKQDBTF 3&4"4࣏ࣗମʹΑΔར׆༻ࣄྫू
΄͔ͷํͷࣄྫ 8PSLTCZ0UIFST
ΦϦϯϐοΫɾϝμϧͷଟ༷ͳݟํ IUUQTMBOEJOHHPPHMFDPNBMUNFEBMUBCMF
·ͱΊ $PODMVTJPO
σʔλ৯ࡐɺՄࢹԽௐཧɻ w ΦʔϓϯσʔλͷՁʮܗࡁΈʯͷʮੜσʔλʯʹ͋Δɻ w σʔλͷՃͷํʹʮϞϊͷݟํʯؚ͕·Ε͍ͯΔɻ w Έ߹ΘͤɺׂΓࢉʹΑΔʮࢲͷʯࢦඪʹΑΔ৽͍͠Ձײͷ ൃݟɻ w શ͘ಉ͡σʔλ͔ΒͰʮௐཧʯͷํ৭ʑɻ
w ʮௐཧʯͷํʹΑͬͯɺਓ͕ड͚Δҹ͔ͳΓҟͳΔɻ
શମ࠷దͱݸਓ࠷దΛͭͳ͙ σʔλϏδϡΞϥΠθʔγϣϯ w ݸผ࠷దͷɻʮʯɻ w ݸਓͷࢹɻ ݸਓͷ՝ ࣾձͷ՝ w શମ࠷దͷɻʮʯɻ
w ߦͷࢹɻ౷ܭσʔλɻ w ʮΛݟͯΛݟͳ͍ʯ͔ΒʮΛݟͯݟΔʯ w ࣗҎ֎ͷʮʯΈΔ͜ͱͰɺࣗΛ٬؍ࢹͰ͖Δ w ෳͷ݅Λಉ࣌ʹൺֱ͢Δ͜ͱͰʮෳࡶܥʯͰ͋Δݱ࣮ ͷղΛ
՝ͷՄࢹԽͱղܾผͷͷ w ΰϛശΛ૿͢ w ΰϛྨํ๏ͷվળ w ίϯϏχͷಇ͖͔͚ w ऩूใΛΘ͔Γ͘͢· ͱΊΔ
w Մ೩ૉࡐͷ։ൃ׆༻ w ೩ͯ͠༗Ψεͷग़ͳ ͍ૉࡐͷ։ൃ ՝ͷղܾํ๏ ՝ͷՄࢹԽ w ΰϛശͷ͕গͳ͍ w Ͳͦ͜͜ͷΤϦΞͰΰϛ͕ ଟ͍ w Կʑͷछྨͷΰϛ͕ଟ͍ ྫɿΰϛ
None