Upgrade to Pro — share decks privately, control downloads, hide ads and more …

TokyoR#113 bignners session2 Visualization

yu_sekiya
June 08, 2024
Programming
0
77

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

More Decks by yu_sekiya

See All by yu_sekiya
TokyoR116_BeginnersSession1_環境構築
kotatyamtema
0
110
TokyoR#114　shiny+DT超(ザックリ)入門
kotatyamtema
0
77
TokyoR #112 Beginners' Session2 data handing
kotatyamtema
0
80
TokyoR #111 Beginners' Session1 data handing
kotatyamtema
0
61
TokyoR#95 bignners session2 Visualization
kotatyamtema
0
54
TokyoR#102 bignners session2
kotatyamtema
0
63
TokyoR #110 Beginners' Session1
kotatyamtema
0
210
TokyoR #108 Beginners' Session1
kotatyamtema
0
210
TokyoR #106 Beginners' Session1
kotatyamtema
0
290

Other Decks in Programming

See All in Programming
WebDriver BiDiとは何なのか
yotahada3
1
140
『テスト書いた方が開発が早いじゃん』を解き明かす #phpcon_nagoya
o0h
PRO
2
220
How mixi2 Uses TiDB for SNS Scalability and Performance
kanmo
37
14k
技術を根付かせる / How to make technology take root
kubode
1
250
『GO』アプリ データ基盤のログ収集システムコスト削減
mot_techtalk
0
120
dbt Pythonモデルで実現するSnowflake活用術
trsnium
0
150
一休.com のログイン体験を支える技術 〜Web Components x Vue.js 活用事例と最適化について〜
atsumim
0
470
Flutter × Firebase Genkit で加速する生成 AI アプリ開発
coborinai
0
160
ソフトウェアエンジニアの成長
masuda220
PRO
10
1.1k
お前もAI鬼にならないか？👹Bolt & Cursor & Supabase & Vercelで人間をやめるぞ、ジョジョー！👺
taishiyade
6
4k
定理証明プラットフォーム lapisla.net
abap34
1
1.8k
なぜイベント駆動が必要なのか - CQRS/ESで解く複雑系システムの課題 -
j5ik2o
10
3.6k

Featured

See All Featured
What’s in a name? Adding method to the madness
productmarketing
PRO
22
3.3k
Producing Creativity
orderedlist
PRO
344
39k
Designing on Purpose - Digital PM Summit 2013
jponch
117
7.1k
KATA
mclloyd
29
14k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
366
25k
Being A Developer After 40
akosma
89
590k
The Cult of Friendly URLs
andyhume
78
6.2k
The Power of CSS Pseudo Elements
geoffreycrofte
75
5.5k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
4
330
A Tale of Four Properties
chriscoyier
158
23k
Automating Front-end Workflow
addyosmani
1368
200k
How GitHub (no longer) Works
holman
314
140k

Transcript

  1. ॳ৺ऀηογϣϯ 1MPU7JTVBMJ[BUJPO 5PLZP3 !LPUBUZBNUFNB  

  2. ࣗݾ঺հ 5XJUUFS*%!LPUBUZBNUFNB େֶͰͷઐ໳ߦಈੜଶֶ ཱҊdั֫d࣮ݧd෼ੳ·ͰϫϯΦϖ ࠓ·Ͱ٬ઌ΅ͬͪ෼ੳ԰ˠΞύϨϧ௨ൢձࣾ ݱࡏҩྍݕࠪձࣾ 3ྺ೥ա͔͗ͨ΋ʁӬԕͷॳ৺ऀ ۙگࣗ෼ͷଘࡏҙٛΛݟࣦ͍ͦ͏ͳࠓ೔͜ͷࠒʜ ۚમత༨༟˺ਫ਼ਆత༨༟ ɹɹ

  3. ໨త ͳͥσʔλͷՄࢹԽ͕ඞཁͳͷ͔ HHQMPUΛ࢖ͬͯجຊతͳ࡞ਤ͕ Ͱ͖ΔΑ͏ʹͳΔ

  4. ໨࣍  ʮσʔλΛՄࢹԽ͢Δʯͱ͸  ͳͥՄࢹԽ͕ඞཁͳͷ͔  3Ͱ࡞ਤHHQMPUೖ໳  ͞·͟·ͳάϥϑͱ࢖͍ํ

  5. .&/6 ʮσʔλΛՄࢹԽ͢Δʯͱ͸ ͳͥՄࢹԽ͕ඞཁͳͷ͔  ཁ໿஋ͷམͱ݀͠  ద੾ͳछྨͷબ୒ 3Ͱ࡞ਤHHQMPUೖ໳  ࢖༻σʔλʢQFOHVJOTʣ

     HHQMPUͷ࡞ਤ֓೦  جຊͷॻ͖ํ ͞·͟·ͳάϥϑͱ࢖͍ํ  άϥϑͷछྨͱ࢖͍ํ  ओͳάϥϑͷαϯϓϧ  ώετάϥϜ  ๮άϥϑ  ശͻ͛ਤ  ࢄ෍ਤ  ંΕઢάϥϑ

  6. .&/6 ʮσʔλΛՄࢹԽ͢Δʯͱ͸ ͳͥՄࢹԽ͕ඞཁͳͷ͔  ཁ໿஋ͷམͱ݀͠  ద੾ͳछྨͷબ୒ 3Ͱ࡞ਤHHQMPUೖ໳  ࢖༻σʔλʢQFOHVJOTʣ

     HHQMPUͷ࡞ਤ֓೦  جຊͷॻ͖ํ ͞·͟·ͳάϥϑͱ࢖͍ํ  άϥϑͷछྨͱ࢖͍ํ  ओͳάϥϑͷαϯϓϧ  ώετάϥϜ  ๮άϥϑ  ശͻ͛ਤ  ࢄ෍ਤ  ંΕઢάϥϑ

  7. ʮσʔλΛՄࢹԽ͢Δʯͱ͸ σʔλͷཧղ΁ͷ࠷ॳͷҰา ཁ໿஋Ͱ͸ݟಀͯ͠͠·͏ҟৗͷݕ஌ ݴޠԽ͠ʹ͍͘৘ใͷڞ༗  ্࢘΍ҙࢥܾఆ૚΁ͷޮՌతͳϓϨθϯࢿྉ ৘ใྔ͕ଟ͍ͷͰޮՌతʹ࢖͓͏

  8. .&/6 ʮσʔλΛՄࢹԽ͢Δʯͱ͸ ͳͥՄࢹԽ͕ඞཁͳͷ͔  ཁ໿஋ͷམͱ݀͠  ద੾ͳछྨͷબ୒ 3Ͱ࡞ਤHHQMPUೖ໳  ࢖༻σʔλʢQFOHVJOTʣ

     HHQMPUͷ࡞ਤ֓೦  جຊͷॻ͖ํ ͞·͟·ͳάϥϑͱ࢖͍ํ  άϥϑͷछྨͱ࢖͍ํ  ओͳάϥϑͷαϯϓϧ  ώετάϥϜ  ๮άϥϑ  ശͻ͛ਤ  ࢄ෍ਤ  ંΕઢάϥϑ

  9. ͳͥՄࢹԽ͕ඞཁͳͷ͔ ཁ໿஋ʹ͸མͱ͕݀͋͠Δ ฏۉඪ४ภࠩͰ͸σʔλͷ෼෍Λදݱ͖͠Εͳ͍

  10. ͳͥՄࢹԽ͕ඞཁͳͷ͔ ཁ໿஋ʹ͸མͱ͕݀͋͠Δ ฏۉඪ४ภࠩͰ͸σʔλͷ෼෍Λදݱ͖͠Εͳ͍ IUUQTWJTVBMJ[JOHKQUIFEBUBTBVSVTEP[FO

  11. ͳͥՄࢹԽ͕ඞཁͳͷ͔ ౷ܭ஋ʹ΋མͱ͕݀͋͠Δ γϯϓιϯͷύϥυοΫεʢ4JNQTPOTQBSBEPYʣ ˠσʔλશମͷ૬ؔͱάϧʔϓ͝ͱͷ૬ؔ͸Ұக͠ͳ͍͜ͱ͕͋Δ

  12. ͳͥՄࢹԽ͕ඞཁͳͷ͔ ద੾ͳछྨͷਤͷબ୒͕ॏཁ ෆద੾ͳਤΛ࢖͏ͱ෼͔Γʹ͍͚ͩ͘Ͱͳ͘ ҹ৅ૢ࡞΍ϛεϦʔσΟϯάΛট͘ ๾໓فئ%ԁάϥϑ

  13. ্खʹՄࢹԽͯ͠ ΑΓਂ͍σʔλͷ ཧղΛ

  14. .&/6 ʮσʔλΛՄࢹԽ͢Δʯͱ͸ ͳͥՄࢹԽ͕ඞཁͳͷ͔  ཁ໿஋ͷམͱ݀͠  ద੾ͳछྨͷબ୒ 3Ͱ࡞ਤHHQMPUೖ໳  ࢖༻σʔλʢQFOHVJOTʣ

     HHQMPUͷ࡞ਤ֓೦  جຊͷॻ͖ํ ͞·͟·ͳάϥϑͱ࢖͍ํ  άϥϑͷछྨͱ࢖͍ํ  ओͳάϥϑͷαϯϓϧ  ώετάϥϜ  ๮άϥϑ  ശͻ͛ਤ  ࢄ෍ਤ  ંΕઢάϥϑ

  15. ࠓճ࢖༻͢Δσʔλ͸QBMNFSQFOHVJOTύοέʔδʹೖ͍ͬͯΔ lQFOHVJOTzσʔλ ˠࣄલʹܽଌ஋Λআ֎ ˠඞཁʹԠͯ͡ཁ໿஋Λࢉग़ IUUQTBMMJTPOIPSTUHJUIVCJPQBMNFSQFOHVJOT ࢖༻σʔλ

  16. HHQMPUͷ࡞ਤ֓೦ HHQMPUͱ͸ UJEZWFSTͷதͰ༻ҙ͞Ε͍ͯΔ࡞ਤ༻QBDLBHF QIPUPTIPQ΍*MMVTUSBUPSͷΑ͏ʹ ϨΠϠʔΛॏͶ͍ͯ͘ΠϝʔδͰ࡞ਤ HHQMPU   HFPN@999 

    TDBMF@ @

  17. جຊͷॻ͖ํ ؔ਺ͷؒ͸z zͰͭͳ͙ QMPUHHQMPU EBUBQFOHVJO@QMPUEBUB  BFT YCPEZ@NBTT@H  ZqJQQFS@MFOHUI@NN

      HFPN@QPJOU BFT DPMPVSTQFDJFT  TIBQFTFY  อଘํ๏ HHTBWF QMPUQMPU pMFlQMPUQOHz VOJUTlNNz  XJEUI IFJHIU EQJ 

  18. .&/6 ʮσʔλΛՄࢹԽ͢Δʯͱ͸ ͳͥՄࢹԽ͕ඞཁͳͷ͔  ཁ໿஋ͷམͱ݀͠  ద੾ͳछྨͷબ୒ 3Ͱ࡞ਤHHQMPUೖ໳  ࢖༻σʔλʢQFOHVJOTʣ

     HHQMPUͷ࡞ਤ֓೦  جຊͷॻ͖ํ ͞·͟·ͳάϥϑͱ࢖͍ํ  άϥϑͷछྨͱ࢖͍ํ  ओͳάϥϑͷαϯϓϧ  ώετάϥϜ  ๮άϥϑ  ശͻ͛ਤ  ࢄ෍ਤ  ંΕઢάϥϑ

  19. άϥϑͷछྨͱ࢖͍ํ

  20. ओͳάϥϑͷαϯϓϧ ώετάϥϜ QFOHVJOT@IJTUHHQMPU EBUBQFOHVJO@QMPUEBUB  BFT YCPEZ@NBTT@H pMMTQFDJFT  

    HFPN@IJTUPHSBN QPTJUJPOJEFOUJUZ BMQIB CJOXJEUI  QMPU QFOHVJOT@IJTU

  21. 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

  22. ओͳάϥϑͷαϯϓϧ ശͻ͛ਤ QFOHVJO@CPYQMPUHHQMPU EBUBQFOHVJO@QMPUEBUB  BFT YTQFDJFT ZCPEZ@NBTT@H pMMTFY 

     HFPN@CPYQMPU QPTJUJPOEPEHF  QMPU QFOHVJO@CPYQMPU

  23. ओͳάϥϑͷαϯϓϧ ࢄ෍ਤ QFOHVJO@QPJOUHHQMPU EBUBQFOHVJO@QMPUEBUB  BFT YCPEZ@NBTT@H ZqJQQFS@MFOHUI@NN  

    HFPN@QPJOU BFT DPMPSTQFDJFT TIBQFTFY  QMPU QFOHVJO@QPJOU

  24. 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

  25. ·ͱΊ w ՄࢹԽ͢Δ͜ͱͰཁ໿஋͚ͩͰ͸෼͔Βͳ͍͜ͱ ͕ݟ͑Δ w ؒҧͬͨํ๏ͰͷՄࢹԽ͸༗֐ w HHQMPUύοέʔδΛ࢖͏ͱ؆୯ʹ৭ʑͳ࡞ਤ͕ Ͱ͖Δ ͍͖ͳΓػցֶशͰ͸ͳ͘

    ࠷ॳʹՄࢹԽ͠Α͏

  26. ࢀߟࢿྉ w HHQMPUDIFBUTIFFU IUUQTSBXHJUIVCVTFSDPOUFOUDPN STUVEJPDIFBUTIFFUTNBJOEBUB WJTVBMJ[BUJPOQEG ɾHHQMPUʹΑΔՄࢹԽೖ໳ IUUQTLB[VUBOHJUIVCJPGVLVPLB3 JOUSP@HHQMPUIUNM