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
TokyoR#119 rvestでhtml_liveをさわってみた話
kotatyamtema
0
23
TokyoR#119 bignners session2 Visualization
kotatyamtema
0
160
Shinyのすすめ - Introduction to shiny -
kotatyamtema
0
150
TokyoR116_BeginnersSession1_環境構築
kotatyamtema
0
220
TokyoR#114 shiny+DT超(ザックリ)入門
kotatyamtema
0
92
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
78
Other Decks in Programming
See All in Programming
「正規表現をつくる」をつくる / make "make regex"
makenowjust
1
710
Web エンジニアが JavaScript で AI Agent を作る / JSConf JP 2025 sponsor session
izumin5210
4
1.9k
Tangible Code
chobishiba
3
690
Amazon Bedrock Knowledge Bases Hands-on
konny0311
0
150
「10分以内に機能を消せる状態」 の実現のためにやっていること
togishima
1
530
Promise.tryで実現する新しいエラーハンドリング New error handling with Promise try
bicstone
3
960
知られているようで知られていない JavaScriptの仕様 4選
syumai
0
630
例外処理を理解して、設計段階からエラーを見つけやすく、起こりにくく #phpconfuk
kajitack
12
6.3k
歴史から学ぶ「Why PHP?」 PHPを書く理由を改めて理解する / Learning from History: “Why PHP?” Rediscovering the Reasons for Writing PHP
seike460
PRO
0
160
しっかり学ぶ java.lang.*
nagise
1
410
Atomics APIを知る / Understanding Atomics API
ssssota
1
180
How Software Deployment tools have changed in the past 20 years
geshan
0
1.4k
Featured
See All Featured
Music & Morning Musume
bryan
46
7k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
26
3.2k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
17k
Building Applications with DynamoDB
mza
96
6.8k
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
49
3.2k
Art, The Web, and Tiny UX
lynnandtonic
303
21k
Building a Scalable Design System with Sketch
lauravandoore
463
33k
The World Runs on Bad Software
bkeepers
PRO
72
12k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
659
61k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
2.6k
The Straight Up "How To Draw Better" Workshop
denniskardys
239
140k
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