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#95 bignners session2 Visualization
Search
yu_sekiya
January 28, 2024
Programming
73
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
TokyoR#95 bignners session2 Visualization
TokyoR#95初心者セッション2の資料
yu_sekiya
January 28, 2024
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
57
TokyoR#119 bignners session2 Visualization
kotatyamtema
0
240
Shinyのすすめ - Introduction to shiny -
kotatyamtema
0
180
TokyoR116_BeginnersSession1_環境構築
kotatyamtema
0
260
TokyoR#114 shiny+DT超(ザックリ)入門
kotatyamtema
0
110
TokyoR#113 bignners session2 Visualization
kotatyamtema
0
140
TokyoR #112 Beginners' Session2 data handing
kotatyamtema
0
140
TokyoR #111 Beginners' Session1 data handing
kotatyamtema
0
100
TokyoR#102 bignners session2
kotatyamtema
0
94
Other Decks in Programming
See All in Programming
キャリア迷子上等 ─ "ない道"は自分で作ればいい
16bitidol
3
1.7k
運用エージェントは "作る" から "育てる" へ - 記憶と自己進化の3層設計パターン / self-evolving-agents-three-layer-agent-design
gawa
12
3.5k
AIとRubyの静的型付け
ukin0k0
0
540
関係性から理解する"同一性"の型用語たち
pvcresin
2
640
AI 時代のソフトウェア設計の学び方
masuda220
PRO
29
12k
CSC307 Lecture 17
javiergs
PRO
0
320
Signal Forms: Beyond the Basics @ngBaguette 2026 in Paris
manfredsteyer
PRO
0
230
Agentic UI
manfredsteyer
PRO
0
110
RTSPクライアントを自作してみた話
simotin13
0
510
軽量Java基盤の設計 DIコンテナに頼らない、長期保守と1秒起動の実現 JJUG CCC 2026 Spring
macha64
0
460
LLM Plugin for Node-REDの利用方法と開発について
404background
0
160
脅威をエンジニアリングの糧にして――現場編 / Turning Threats into Engineering Fuel — Field Edition
nrslib
0
250
Featured
See All Featured
Winning Ecommerce Organic Search in an AI Era - #searchnstuff2025
aleyda
1
2k
WENDY [Excerpt]
tessaabrams
11
38k
Getting science done with accelerated Python computing platforms
jacobtomlinson
2
220
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
How to Align SEO within the Product Triangle To Get Buy-In & Support - #RIMC
aleyda
2
1.5k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
The Limits of Empathy - UXLibs8
cassininazir
1
350
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
31
3.2k
Code Reviewing Like a Champion
maltzj
528
40k
What the history of the web can teach us about the future of AI
inesmontani
PRO
1
600
The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs
inesmontani
PRO
3
3.5k
The Curious Case for Waylosing
cassininazir
1
380
Transcript
ॳ৺ऀηογϣϯ 1MPU7JTVBMJ[BUJPO 5PLZP3 !LPUBUZBNUFNB
ࣗݾհ 5XJUUFS*%!LPUBUZBNUFNB େֶͰͷઐߦಈੜଶֶ ཱҊdั֫d࣮ݧdੳ·ͰϫϯΦϖ ࠓ·Ͱ٬ઌ΅ͬͪੳˠΞύϨϧ௨ൢձࣾ ݱࡏҩྍݕࠪձࣾ 3ྺա͔͗ͨʁӬԕͷॳ৺ऀ ۙگͳΜ͔ͪΐͬͱ͍Ζ͍ΖมԽ͕͠ΜͲ͍ ɹɹࠓ͜ͷࠒɻ ࣗ༝ͱ͕࣌ؒཉ͍͠ɺࣗ༝ͱ࣌ؒ
త ͳͥσʔλͷՄࢹԽ͕ඞཁͳͷ͔ HHQMPUΛͬͯجຊతͳ࡞ਤ͕ Ͱ͖ΔΑ͏ʹͳΔ
࣍ ʮσʔλΛՄࢹԽ͢Δʯͱ ͳͥՄࢹԽ͕ඞཁͳͷ͔ 3Ͱ࡞ਤHHQMPUೖ ͞·͟·ͳάϥϑͱ͍ํ
.&/6 ʮσʔλΛՄࢹԽ͢Δʯͱ ͳͥՄࢹԽ͕ඞཁͳͷ͔ ཁͷམͱ݀͠ దͳछྨͷબ 3Ͱ࡞ਤHHQMPUೖ ༻σʔλʢQFOHVJOTʣ
HHQMPUͷ࡞ਤ֓೦ جຊͷॻ͖ํ ͞·͟·ͳάϥϑͱ͍ํ άϥϑͷछྨͱ͍ํ ओͳάϥϑͷαϯϓϧ ώετάϥϜ άϥϑ ശͻ͛ਤ ࢄਤ ંΕઢάϥϑ
.&/6 ʮσʔλΛՄࢹԽ͢Δʯͱ ͳͥՄࢹԽ͕ඞཁͳͷ͔ ཁͷམͱ݀͠ దͳछྨͷબ 3Ͱ࡞ਤHHQMPUೖ ༻σʔλʢQFOHVJOTʣ
HHQMPUͷ࡞ਤ֓೦ جຊͷॻ͖ํ ͞·͟·ͳάϥϑͱ͍ํ άϥϑͷछྨͱ͍ํ ओͳάϥϑͷαϯϓϧ ώετάϥϜ άϥϑ ശͻ͛ਤ ࢄਤ ંΕઢάϥϑ
ʮσʔλΛՄࢹԽ͢Δʯͱ σʔλͷཧղͷ࠷ॳͷҰา ཁͰݟಀͯ͠͠·͏ҟৗͷݕ ݴޠԽ͠ʹ͍͘ใͷڞ༗ ্࢘ҙࢥܾఆͷޮՌతͳϓϨθϯࢿྉ ใྔ͕ଟ͍ͷͰޮՌతʹ͓͏
.&/6 ʮσʔλΛՄࢹԽ͢Δʯͱ ͳͥՄࢹԽ͕ඞཁͳͷ͔ ཁͷམͱ݀͠ దͳछྨͷબ 3Ͱ࡞ਤHHQMPUೖ ༻σʔλʢQFOHVJOTʣ
HHQMPUͷ࡞ਤ֓೦ جຊͷॻ͖ํ ͞·͟·ͳάϥϑͱ͍ํ άϥϑͷछྨͱ͍ํ ओͳάϥϑͷαϯϓϧ ώετάϥϜ άϥϑ ശͻ͛ਤ ࢄਤ ંΕઢάϥϑ
ͳͥՄࢹԽ͕ඞཁͳͷ͔ ཁʹམͱ͕݀͋͠Δ ฏۉඪ४ภࠩͰσʔλͷΛදݱ͖͠Εͳ͍ ཁʢฏۉͱඪ४ภࠩʣಉ͡
ͳͥՄࢹԽ͕ඞཁͳͷ͔ ཁʹམͱ͕݀͋͠Δ ฏۉඪ४ภࠩͰσʔλͷΛදݱ͖͠Εͳ͍ શ͘ҧ͏ͷσʔλ
ͳͥՄࢹԽ͕ඞཁͳͷ͔ దͳछྨͷਤͷબ͕ॏཁ ෆదͳਤΛ͏ͱ͔Γʹ͍͚ͩ͘Ͱͳ͘ ҹૢ࡞ϛεϦʔσΟϯάΛট͘ ໓فئ%ԁάϥϑ
্खʹՄࢹԽͯ͠ ΑΓਂ͍σʔλͷ ཧղΛ
.&/6 ʮσʔλΛՄࢹԽ͢Δʯͱ ͳͥՄࢹԽ͕ඞཁͳͷ͔ ཁͷམͱ݀͠ దͳछྨͷબ 3Ͱ࡞ਤHHQMPUೖ ༻σʔλʢQFOHVJOTʣ
HHQMPUͷ࡞ਤ֓೦ جຊͷॻ͖ํ ͞·͟·ͳάϥϑͱ͍ํ άϥϑͷछྨͱ͍ํ ओͳάϥϑͷαϯϓϧ ώετάϥϜ άϥϑ ശͻ͛ਤ ࢄਤ ંΕઢάϥϑ
ࠓճ༻͢ΔσʔλQBMNFSQFOHVJOTύοέʔδʹೖ͍ͬͯΔ lQFOHVJOTzσʔλ ˠࣄલʹܽଌΛআ֎ ˠඞཁʹԠͯ͡ཁΛࢉग़ IUUQTBMMJTPOIPSTUHJUIVCJPQBMNFSQFOHVJOT ༻σʔλ
HHQMPUͷ࡞ਤ֓೦ HHQMPUͱ UJEZWFSTͷதͰ༻ҙ͞Ε͍ͯΔ࡞ਤ༻QBDLBHF QIPUPTIPQ*MMVTUSBUPSͷΑ͏ʹ ϨΠϠʔΛॏͶ͍ͯ͘ΠϝʔδͰ࡞ਤ HHQMPU HFPN@999
TDBMF@ @
جຊͷॻ͖ํ ؔͷؒz zͰͭͳ͙ QMPUHHQMPU EBUBQFOHVJO@QMPUEBUB BFT YCPEZ@NBTT@H ZqJQQFS@MFOHUI@NN
HFPN@QPJOU BFT DPMPVSTQFDJFT TIBQFTFY อଘํ๏ HHTBWF QMPUQMPU pMFlQMPUQOHz VOJUTlNNz XJEUI IFJHIU EQJ
.&/6 ʮσʔλΛՄࢹԽ͢Δʯͱ ͳͥՄࢹԽ͕ඞཁͳͷ͔ ཁͷམͱ݀͠ దͳछྨͷબ 3Ͱ࡞ਤHHQMPUೖ ༻σʔλʢQFOHVJOTʣ
HHQMPUͷ࡞ਤ֓೦ جຊͷॻ͖ํ ͞·͟·ͳάϥϑͱ͍ํ άϥϑͷछྨͱ͍ํ ओͳάϥϑͷαϯϓϧ ώετάϥϜ άϥϑ ശͻ͛ਤ ࢄਤ ંΕઢάϥϑ
άϥϑͷछྨͱ͍ํ
ओͳάϥϑͷαϯϓϧ ώετάϥϜ QFOHVJOT@IJTUHHQMPU EBUBQFOHVJO@QMPUEBUB BFT YCPEZ@NBTT@H pMMTQFDJFT
HFPN@IJTUPHSBN QPTJUJPOJEFOUJUZ BMQIB CJOXJEUI QMPU QFOHVJOT@IJTU
ओͳάϥϑͷαϯϓϧ άϥϑ QFOHVJO@CBSHHQMPU EBUBQFOHVJO@QMPU BFT YTQFDJFT ZNFBO pMMTFY
HFPN@CBS TUBUJEFOUJUZ QPTJUJPOEPEHF HFPN@FSSPSCBS BFT ZNJONFBOTE ZNBYNFBO TE QPTJUJPOQPTJUJPO@EPEHF XJEUI XJEUI QMPU QFOHVJO@CBS
ओͳάϥϑͷαϯϓϧ ശͻ͛ਤ QFOHVJO@CPYQMPUHHQMPU EBUBQFOHVJO@QMPUEBUB BFT YTQFDJFT ZCPEZ@NBTT@H pMMTFY
HFPN@CPYQMPU QPTJUJPOEPEHF QMPU QFOHVJO@CPYQMPU
ओͳάϥϑͷαϯϓϧ ࢄਤ QFOHVJO@QPJOUHHQMPU EBUBQFOHVJO@QMPUEBUB BFT YCPEZ@NBTT@H ZqJQQFS@MFOHUI@NN
HFPN@QPJOU BFT DPMPSTQFDJFT TIBQFTFY QMPU QFOHVJO@QPJOU
ओͳάϥϑͷαϯϓϧ ંΕઢάϥϑ QFOHVJO@MJOFHHQMPU EBUBQFOHVJO@QMPU BFT YZFBS ZNFBO
HFPN@MJOF BFT DPMPVSTQFDJFT MJOFUZQFTFY HFPN@FSSPSCBS BFT ZNJONFBOTE ZNBYNFBO TE ɹɹɹɹɹDPMPVSTQFDJFT XJEUI QMPU QFOHVJO@MJOF
·ͱΊ w ՄࢹԽ͢Δ͜ͱͰཁ͚ͩͰ͔Βͳ͍͜ͱ ͕ݟ͑Δ w ؒҧͬͨํ๏ͰͷՄࢹԽ༗ w HHQMPUύοέʔδΛ͏ͱ؆୯ʹ৭ʑͳ࡞ਤ͕ Ͱ͖Δ ͍͖ͳΓػցֶशͰͳ͘
࠷ॳʹՄࢹԽ͠Α͏
ࢀߟࢿྉ w HHQMPUDIFBUTIFFU IUUQTSBXHJUIVCVTFSDPOUFOUDPN STUVEJPDIFBUTIFFUTNBJOEBUB WJTVBMJ[BUJPOQEG ɾHHQMPUʹΑΔՄࢹԽೖ IUUQTLB[VUBOHJUIVCJPGVLVPLB3 JOUSP@HHQMPUIUNM
&/+0: