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
100
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
120
TokyoR116_BeginnersSession1_環境構築
kotatyamtema
0
190
TokyoR#114 shiny+DT超(ザックリ)入門
kotatyamtema
0
88
TokyoR #112 Beginners' Session2 data handing
kotatyamtema
0
110
TokyoR #111 Beginners' Session1 data handing
kotatyamtema
0
71
TokyoR#95 bignners session2 Visualization
kotatyamtema
0
60
TokyoR#102 bignners session2
kotatyamtema
0
71
TokyoR #110 Beginners' Session1
kotatyamtema
0
220
TokyoR #108 Beginners' Session1
kotatyamtema
0
230
Other Decks in Programming
See All in Programming
赤裸々に公開。 TSKaigiのオフシーズン
takezoux2
0
130
Cursor AI Agentと伴走する アプリケーションの高速リプレイス
daisuketakeda
1
110
WindowInsetsだってテストしたい
ryunen344
1
160
実践ArchUnit ~実例による検証パターンの紹介~
ogiwarat
2
260
Parallel::Pipesの紹介
skaji
2
910
生成AIコーディングとの向き合い方、AIと共創するという考え方 / How to deal with generative AI coding and the concept of co-creating with AI
seike460
PRO
1
250
無関心の谷
kanayannet
0
160
セキュリティマネジャー廃止とクラウドネイティブ型サンドボックス活用
kazumura
1
170
List Unfolding - 'unfold' as the Computational Dual of 'fold', and how 'unfold' relates to 'iterate'"
philipschwarz
PRO
0
190
SODA - FACT BOOK
sodainc
1
920
Bytecode Manipulation 으로 생산성 높이기
bigstark
1
330
XSLTで作るBrainfuck処理系
makki_d
0
200
Featured
See All Featured
Practical Orchestrator
shlominoach
188
11k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
657
60k
Building a Modern Day E-commerce SEO Strategy
aleyda
41
7.3k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
32
5.9k
Bash Introduction
62gerente
614
210k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
47
2.8k
Java REST API Framework Comparison - PWX 2021
mraible
31
8.6k
Mobile First: as difficult as doing things right
swwweet
223
9.7k
Embracing the Ebb and Flow
colly
86
4.7k
Git: the NoSQL Database
bkeepers
PRO
430
65k
Being A Developer After 40
akosma
90
590k
Writing Fast Ruby
sferik
628
61k
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