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#113 bignners session2 Visualization
Search
yu_sekiya
June 08, 2024
Programming
0
110
TokyoR#113 bignners session2 Visualization
TokyoR #113の初心者セッション2 可視化入門の資料です。
yu_sekiya
June 08, 2024
Tweet
Share
More Decks by yu_sekiya
See All by yu_sekiya
Shinyのすすめ - Introduction to shiny -
kotatyamtema
0
140
TokyoR116_BeginnersSession1_環境構築
kotatyamtema
0
210
TokyoR#114 shiny+DT超(ザックリ)入門
kotatyamtema
0
92
TokyoR #112 Beginners' Session2 data handing
kotatyamtema
0
110
TokyoR #111 Beginners' Session1 data handing
kotatyamtema
0
79
TokyoR#95 bignners session2 Visualization
kotatyamtema
0
62
TokyoR#102 bignners session2
kotatyamtema
0
74
TokyoR #110 Beginners' Session1
kotatyamtema
0
230
TokyoR #108 Beginners' Session1
kotatyamtema
0
230
Other Decks in Programming
See All in Programming
🔨 小さなビルドシステムを作る
momeemt
4
680
Updates on MLS on Ruby (and maybe more)
sylph01
1
180
AIと私たちの学習の変化を考える - Claude Codeの学習モードを例に
azukiazusa1
10
3.9k
250830 IaCの選定~AWS SAMのLambdaをECSに乗り換えたときの備忘録~
east_takumi
0
390
Ruby Parser progress report 2025
yui_knk
1
440
MCPでVibe Working。そして、結局はContext Eng(略)/ Working with Vibe on MCP And Context Eng
rkaga
5
2.3k
MCPで実現するAIエージェント駆動のNext.jsアプリデバッグ手法
nyatinte
7
1.1k
開発チーム・開発組織の設計改善スキルの向上
masuda220
PRO
20
11k
アルテニア コンサル/ITエンジニア向け 採用ピッチ資料
altenir
0
100
「待たせ上手」なスケルトンスクリーン、 そのUXの裏側
teamlab
PRO
0
510
AIコーディングAgentとの向き合い方
eycjur
0
270
FindyにおけるTakumi活用と脆弱性管理のこれから
rvirus0817
0
500
Featured
See All Featured
A Modern Web Designer's Workflow
chriscoyier
696
190k
Building a Modern Day E-commerce SEO Strategy
aleyda
43
7.6k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
18
1.1k
Building Applications with DynamoDB
mza
96
6.6k
YesSQL, Process and Tooling at Scale
rocio
173
14k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
34
3.1k
Large-scale JavaScript Application Architecture
addyosmani
512
110k
CoffeeScript is Beautiful & I Never Want to Write Plain JavaScript Again
sstephenson
162
15k
Understanding Cognitive Biases in Performance Measurement
bluesmoon
29
1.9k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
9
810
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
8
520
Building a Scalable Design System with Sketch
lauravandoore
462
33k
Transcript
ॳ৺ऀηογϣϯ 1MPU7JTVBMJ[BUJPO 5PLZP3 !LPUBUZBNUFNB
ࣗݾհ 5XJUUFS*%!LPUBUZBNUFNB େֶͰͷઐߦಈੜଶֶ ཱҊdั֫d࣮ݧdੳ·ͰϫϯΦϖ ࠓ·Ͱ٬ઌ΅ͬͪੳˠΞύϨϧ௨ൢձࣾ ݱࡏҩྍݕࠪձࣾ 3ྺա͔͗ͨʁӬԕͷॳ৺ऀ ۙگࣗͷଘࡏҙٛΛݟࣦ͍ͦ͏ͳࠓ͜ͷࠒʜ ۚમత༨༟˺ਫ਼ਆత༨༟ ɹɹ
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
ͳͥՄࢹԽ͕ඞཁͳͷ͔ ཁʹམͱ͕݀͋͠Δ ฏۉඪ४ภࠩͰσʔλͷΛදݱ͖͠Εͳ͍ IUUQTWJTVBMJ[JOHKQUIFEBUBTBVSVTEP[FO
ͳͥՄࢹԽ͕ඞཁͳͷ͔ ౷ܭʹམͱ͕݀͋͠Δ γϯϓιϯͷύϥυοΫεʢ4JNQTPOTQBSBEPYʣ ˠσʔλશମͷ૬ؔͱάϧʔϓ͝ͱͷ૬ؔҰக͠ͳ͍͜ͱ͕͋Δ
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