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
TokyoR#114 shiny+DT超(ザックリ)入門
Search
yu_sekiya
July 13, 2024
Technology
0
92
TokyoR#114 shiny+DT超(ザックリ)入門
TokyoR#114の応用セッション「shiny+DT超(ザックリ)入門」の資料です。
実際のコードはもう少し整理したらgithubで公開します。
yu_sekiya
July 13, 2024
Tweet
Share
More Decks by yu_sekiya
See All by yu_sekiya
TokyoR#119 rvestでhtml_liveをさわってみた話
kotatyamtema
0
30
TokyoR#119 bignners session2 Visualization
kotatyamtema
0
190
Shinyのすすめ - Introduction to shiny -
kotatyamtema
0
160
TokyoR116_BeginnersSession1_環境構築
kotatyamtema
0
230
TokyoR#113 bignners session2 Visualization
kotatyamtema
0
120
TokyoR #112 Beginners' Session2 data handing
kotatyamtema
0
120
TokyoR #111 Beginners' Session1 data handing
kotatyamtema
0
87
TokyoR#95 bignners session2 Visualization
kotatyamtema
0
62
TokyoR#102 bignners session2
kotatyamtema
0
83
Other Decks in Technology
See All in Technology
Connection-based OAuthから学ぶOAuth for AI Agents
flatt_security
0
400
Knowledge Work の AI Backend
kworkdev
PRO
0
290
NIKKEI Tech Talk #41: セキュア・バイ・デザインからクラウド管理を考える
sekido
PRO
0
240
ActiveJobUpdates
igaiga
1
330
AWSの新機能をフル活用した「re:Inventエージェント」開発秘話
minorun365
2
490
Agentic AIが変革するAWSの開発・運用・セキュリティ ~Frontier Agentsを試してみた~ / Agentic AI transforms AWS development, operations, and security I tried Frontier Agents
yuj1osm
0
100
2025年の医用画像AI/AI×medical_imaging_in_2025_generated_by_AI
tdys13
0
140
「もしもデータ基盤開発で『強くてニューゲーム』ができたなら今の僕はどんなデータ基盤を作っただろう」
aeonpeople
0
250
半年で、AIゼロ知識から AI中心開発組織の変革担当に至るまで
rfdnxbro
0
150
モダンデータスタックの理想と現実の間で~1.3億人Vポイントデータ基盤の現在地とこれから~
taromatsui_cccmkhd
2
280
なぜ あなたはそんなに re:Invent に行くのか?
miu_crescent
PRO
0
220
Identity Management for Agentic AI 解説
fujie
0
500
Featured
See All Featured
The B2B funnel & how to create a winning content strategy
katarinadahlin
PRO
0
200
Discover your Explorer Soul
emna__ayadi
2
1k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
9.8k
The Anti-SEO Checklist Checklist. Pubcon Cyber Week
ryanjones
0
29
Rebuilding a faster, lazier Slack
samanthasiow
85
9.3k
Facilitating Awesome Meetings
lara
57
6.7k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
12
1.4k
Noah Learner - AI + Me: how we built a GSC Bulk Export data pipeline
techseoconnect
PRO
0
74
A designer walks into a library…
pauljervisheath
210
24k
Code Reviewing Like a Champion
maltzj
527
40k
Building AI with AI
inesmontani
PRO
1
580
Neural Spatial Audio Processing for Sound Field Analysis and Control
skoyamalab
0
130
Transcript
TIJOZ %5 βοΫϦ ೖ 5PLZP3 !LPUBUZBNUFNB
ࣗݾհ 5XJUUFS*%!LPUBUZBNUFNB େֶͰͷઐߦಈੜଶֶ ཱҊdั֫d࣮ݧdੳ·ͰϫϯΦϖ ࠓ·Ͱ٬ઌ΅ͬͪੳˠΞύϨϧ௨ൢձࣾ ݱࡏҩྍݕࠪձࣾ 3ྺա͔͗ͨʁӬԕͷॳ৺ऀ ۙگࣗͷଘࡏҙٛΛݟࣦ͍ͦ͏ͳࠓ͜ͷࠒʜ ͍ͭʹ.BD#PPLങ͍ସ͑·ͨ͠ ɹɹ
త TIJOZʹβοΫϦೖ͠ͳ͓ͦ͏ ͪΐͬͱ͚ͩ%5ͱྑ͘ͳΖ͏
࣍ TIJOZͱ 3TUVEJPΛͬͨTIJOZηοτΞοϓ %5ύοέʔδͱ TIJOZ %5ೖσϞΞϓϦ
TIJOZͱ 3Ͱ8FCΞϓϦέʔγϣϯΛ࡞͢ΔͨΊͷύοέʔδ IUUQTTIJOZQPTJUDP ྑ͍ ɹɹɾͯ͢3Ͱॻ͚ΔͷͰɺ࡞ͨ͠ίʔυΛ࣮͍͢͠ ɹɹɾػೳ͕ݶఆ͞Ε͍ͯΔͷͰൺֱత؆୯ʹॻ͚Δ ѱ͍ ɹɹɾϑϩϯτΤϯυଆͷػೳʢϢʔβʔೝূಉ࣌ଓॲཧ ͳͲʣ·ͬͨ͘ͳ͍
3TUVEJPΛͬͨTIJOZηοτΞοϓ ʮ৽ن࡞ʯ͔Βʮ4IJOZ8FC"QQʯΛબ ϙοϓΞοϓʹΞϓϦͷ໊લ ϑΥϧμ໊ Λ ೖྗ ˠʮ࡞ $SFBUF ʯ ೖྗ໊ͨ͠લͷϑΥϧμԼʹTFSWFS3
VJ3 4JOHMF'MJFΛબͨ͠߹BQQ3 ͕ ࡞͞ΕΔ
3TUVEJPΛͬͨTIJOZηοτΞοϓ 4FSWFS3͘͠VJ3Λ3TUVEJP্Ͱ։͍ͯʮ3VO"QQʯΛ ΫϦοΫ͢ΔͱΞϓϦ͕ىಈ͢Δ ΫϦοΫ
3TUVEJPΛͬͨTIJOZηοτΞοϓ σϑΥϧτͰೖྗ͞Ε͍ͯΔTIJOZBQQ
%5ύοέʔδͱ +BWB4DSJQUͷ%BUB5BCMFTϥΠϒϥϦΛ3Ͱ͑ΔΑ͏ʹͨ͠ ύοέʔδ IUUQTEBUBUBCMFTOFU w ྑ͍ ࣗಈతʹ͖Ε͍ͳςʔϒϧ͕ॻ͚Δ
ΠϯλϥΫςΟϒͳςʔϒϧ͕ॻ͚Δ w ѱ͍ +BWB4DSJQUϥΠϒϥϦͳͷͰɺҰ෦өͰ͖ͳ͍ॲཧ͕͋Δ
TIJOZ %5ೖσϞΞϓϦ TIJOZʹ%5ͰςʔϒϧΛදࣔͤͯ͞ڍಈΛ֬ೝ͢ΔΞϓϦΛ ࡞͢Δ ϑΝΠϧߏͱׂ ɾHMPCBM3 0QUJPOઃఆɺύοέʔδͷݺͼग़ࣗ͠࡞ؔͷಡΈࠐΈɺࣄલͷσʔ λॲཧͳͲɺΞϓϦ্ཱͪ͛࣌ʹ࣮ߦ͢ΔઃఆॲཧΛ·ͱΊͯهࡌ ɾTFSWFS3 VJ3͔ΒͷೖྗΛड͚࣮ͯߦ͢ΔॲཧΛهࡌ
ɾVJ3 ΞϓϦͷ6*෦ͷઃܭTFSWFS3͔Βͷग़ྗΛදࣔ͢ΔॲཧΛهࡌ
ࠓճ༻͢ΔσʔλQBMNFSQFOHVJOTύοέʔδʹೖ͍ͬͯΔ lQFOHVJOTzσʔλ ˠܽଌΛআ֎ ˠछ͝ͱʹࢄਤ࡞ͯ͠දࣔͤ͞Δ IUUQTBMMJTPOIPSTUHJUIVCJPQBMNFSQFOHVJOT TIJOZ %5ೖσϞΞϓϦ
TIJOZ %5ೖσϞΞϓϦ લ४උɿछྨͷࢄਤΛϖϯΪϯछ͝ͱʹ࡞͠ɺΈ߹ΘͤͱϖϯΪϯछ Λهࡌͨ͠ςʔϒϧΛ࡞
TIJOZ %5ೖσϞΞϓϦ 6*ߏ fl VJE3PXɿߦํͷׂͷ࡞ DPMVNOɿྻํͷׂͷ࡞ʢXJEUIͷ߹ܭ͕ʹͳΔΑ͏ௐʣ XFMM1BOFMɿDPMVNOͷதʹΛ࡞
TIJOZ %5ೖσϞΞϓϦ ࠷ॳʹදࣔ͢Δςʔϒϧ VJ3 TFSWFS3 BQQ
TIJOZ %5ೖσϞΞϓϦ %5ͷػೳʮSPXT@TFMFDUFEʯͷڍಈ VJ3 TFSWFS3 BQQ
TIJOZ %5ೖσϞΞϓϦ SPXT@TFMFDUFEͰબͨ͠ରͷࢄਤΛදࣔ VJ3 TFSWFS3 BQQ
σϞ TIJOZ %5ೖσϞΞϓϦ
·ͱΊ w TIJOZΛ͑3Ͱ؆୯ʹ8FCΞϓϦ͕࡞ΕΔ w %5Ͱ͖Ε͍ͳ5BCMFΛศརʹ͓͏ ղੳϩδοΫͷڞ༗ʹTIBOZBQQ &OKPZ
ࢀߟࢿྉ w TIJOZ IUUQTTIJOZQPTJUDP ɾ%BUB5BCMFT%5 IUUQTEBUBUBCMFTOFU IUUQTSTUVEJPHJUIVCJP%5