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
140
TokyoR116_BeginnersSession1_環境構築
kotatyamtema
0
200
TokyoR#114 shiny+DT超(ザックリ)入門
kotatyamtema
0
90
TokyoR #112 Beginners' Session2 data handing
kotatyamtema
0
110
TokyoR #111 Beginners' Session1 data handing
kotatyamtema
0
76
TokyoR#95 bignners session2 Visualization
kotatyamtema
0
60
TokyoR#102 bignners session2
kotatyamtema
0
72
TokyoR #110 Beginners' Session1
kotatyamtema
0
220
TokyoR #108 Beginners' Session1
kotatyamtema
0
230
Other Decks in Programming
See All in Programming
Strands Agents で実現する名刺解析アーキテクチャ
omiya0555
1
120
一人でAIプロダクトを作るための工夫 〜技術選定・開発プロセス編〜 / I want AI to work harder
rkaga
12
2.5k
技術的負債で信頼性が限界だったWordPress運用をShifterで完全復活させた話
rvirus0817
1
1.5k
「リーダーは意思決定する人」って本当?~ 学びを現場で活かす、リーダー4ヶ月目の試行錯誤 ~
marina1017
0
210
書き捨てではなく継続開発可能なコードをAIコーディングエージェントで書くために意識していること
shuyakinjo
1
270
Understanding Kotlin Multiplatform
l2hyunwoo
0
250
Understanding Ruby Grammar Through Conflicts
yui_knk
1
100
AIコーディングエージェント全社導入とセキュリティ対策
hikaruegashira
16
9.7k
自作OSでDOOMを動かしてみた
zakki0925224
1
1.3k
What's new in Adaptive Android development
fornewid
0
140
GUI操作LLMの最新動向: UI-TARSと関連論文紹介
kfujikawa
0
820
11年かかって やっとVibe Codingに 時代が追いつきましたね
yimajo
1
260
Featured
See All Featured
How to Think Like a Performance Engineer
csswizardry
25
1.8k
Done Done
chrislema
185
16k
The Cult of Friendly URLs
andyhume
79
6.5k
Scaling GitHub
holman
461
140k
Imperfection Machines: The Place of Print at Facebook
scottboms
267
13k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
10
1k
Docker and Python
trallard
45
3.5k
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
8
760
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
53
2.9k
Navigating Team Friction
lara
188
15k
GitHub's CSS Performance
jonrohan
1031
460k
KATA
mclloyd
32
14k
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