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
散布図と相関(と Git) / Scatter plots and correlations ...
Search
Kenji Saito
PRO
November 28, 2024
Technology
68
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
散布図と相関(と Git) / Scatter plots and correlations (and Git)
早稲田大学大学院経営管理研究科「企業データ分析」2024 冬のオンデマンド教材 第5回で使用したスライドです。
Kenji Saito
PRO
November 28, 2024
More Decks by Kenji Saito
See All by Kenji Saito
文化的ループ (推論, エージェント) と思考プロセスの検証可能性 / Cultural Loops (Inference, Agents) and the Verifiability of Thought Processes
ks91
PRO
0
18
アカデミーキャンプ2026 夏 「ヤツらを究めろ!ウチらとヤツらの自由研究∼ シーズン2」DAY 3 / Academy Camp 2026 Summer: Master Them! Our Independent Research Project with Them—Season 2 DAY3
ks91
PRO
0
49
アカデミーキャンプ2026 夏 「ヤツらを究めろ!ウチらとヤツらの自由研究∼ シーズン2」DAY 1 / Academy Camp 2026 Summer: Master Them! Our Independent Research Project with Them—Season 2 DAY1
ks91
PRO
0
56
アカデミーキャンプ2026 夏 「ヤツらを究めろ!ウチらとヤツらの自由研究∼ シーズン2」DAY 2 / Academy Camp 2026 Summer: Master Them! Our Independent Research Project with Them—Season 2 DAY2
ks91
PRO
0
85
責任2.0 ∼ AI が主体となる世界で ∼ / Responsibility 2.0: In a World Where AI Takes Responsibilities
ks91
PRO
0
75
発表と総括 / Presentations and Summary
ks91
PRO
0
230
インシデントレスポンス演習II / Incident Response Exercise II
ks91
PRO
0
110
脱金融のフューチャー・デザイン / Future Design Beyond Finance
ks91
PRO
0
190
戦略と安全保障 / Strategy and Security
ks91
PRO
0
120
Other Decks in Technology
See All in Technology
強化学習「理論」入門
enakai00
3
3.6k
Agent 時代の Kaggle 展望 / kaggle-in-the-agentic-era
upura
1
770
20260804_Q4AzureUpdateBite_FabricDataAgentの精度を高める設計.pdf
matayuuu
1
140
MulticaとPi Coding Agentで、小規模OSSを30本同時運用した流れ
eiei114
0
130
AWS ネットワーク構築でハマった(ハマりかけた) 5選とそこから得た教訓
nagisa53
4
230
Eight Engineering Unit 紹介資料
sansan33
PRO
3
8.2k
私がブラウザを自作したくなった理由
supurazako
1
240
AIコーディングの次。コードレビューと理解負荷を解消して組織の開発生産性を高める
moongift
PRO
2
2.6k
20分でわかるセキュアAPI
nwiizo
2
290
2026-08-05 IBM Z開発最前線!IBM Bob Premium Package for Zって何がすごいの?
yutanonaka
0
130
LanceDB入門
mocobeta
8
560
Genie Codeハンズオン基礎編
taka_aki
1
120
Featured
See All Featured
Unlocking the hidden potential of vector embeddings in international SEO
frankvandijk
0
890
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
35
2.5k
RailsConf 2023
tenderlove
30
1.5k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
31
3.3k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
128
56k
BBQ
matthewcrist
89
10k
Stop Working from a Prison Cell
hatefulcrawdad
274
21k
Tips & Tricks on How to Get Your First Job In Tech
honzajavorek
1
700
Building Experiences: Design Systems, User Experience, and Full Site Editing
marktimemedia
0
580
The Web Performance Landscape in 2024 [PerfNow 2024]
tammyeverts
12
1.2k
Leo the Paperboy
mayatellez
8
2.1k
Transcript
Boxes and whiskers — generated by Stable Diffusion XL v1.0
2024 5 ( Git) (WBS) 2024 5 ( Git) — 2024-11 – p.1/16
https://speakerdeck.com/ks91/collections/corporate-data-analysis-2024-winter 2024 5 ( Git) — 2024-11 – p.2/16
( 20 ) 1 • 2 R • 3 •
4 • 5 • 6 ( ) 7 (1) 8 (2) 9 R ( ) (1) 10 R ( ) (2) 11 R ( ) (1) 12 R ( ) (2) 13 GPT-4 14 GPT-4 15 ( ) LaTeX Overleaf 8 (12/16 ) / (2 ) OK / 2024 5 ( Git) — 2024-11 – p.3/16
RStudio Git 2 2024 5 ( Git) — 2024-11 –
p.4/16
RStudio Git RStudio Git Git ( GPL) GitHub Git (
) RStudio pull 2024 5 ( Git) — 2024-11 – p.5/16
Git RStudio Git (OS ) Linux : ( OK) macOS
: Xcode (Apple ) Xcode AppStore https://apps.apple.com/jp/app/xcode/id497799835 Windows : https://gitforwindows.org OK https://github.com/ks91/cda-demo Git ( ) 2024 5 ( Git) — 2024-11 – p.6/16
(scatter plot) 2 x y ( ) (◦ ) plot
(verb): mark out or allocate (points) on a graph cda-demo “ .R” 1 2024 5 ( Git) — 2024-11 – p.7/16
“ .txt” 1 1 <- read.table(" .txt", header=T) plot( 1,
xlim=c(0, 100), ylim=c(0, 100), xlab=" ", ylab=" ", main=" ") : 2024 5 ( Git) — 2024-11 – p.8/16
0 20 40 60 80 100 0 20 40 60
80 100 ṇࡢ┦㛵ࡢ ⱥㄒࡢヨ㦂⤖ᯝ ᩘᏛࡢヨ㦂⤖ᯝ 2024 5 ( Git) — 2024-11 – p.9/16
“ .txt” 2 2 <- read.table(" .txt", header=T) plot( 2,
xlim=c(0, 20.0), ylim=c(13.0, 18.0), xlab=" ", ylab="100m ( )", main=" ") : 2024 5 ( Git) — 2024-11 – p.10/16
0 5 10 15 20 13 14 15 16 17
18 ㈇ࡢ┦㛵ࡢ 㐌ᙜࡓࡾࡢㄢእ㐠ື㛫 100m㉮ࡢࢱ࣒ (⛊) 2024 5 ( Git) — 2024-11 – p.11/16
1 2 plot( 1$ , 2$ , xlim=c(0, 100), ylim=c(13.0,
18.0), xlab=" ", ylab="100m ( )", main=" ") ( ) : 2024 5 ( Git) — 2024-11 – p.12/16
0 20 40 60 80 100 13 14 15 16
17 18 ↓┦㛵ࡢ ⱥㄒࡢヨ㦂⤖ᯝ 100m㉮ࡢࢱ࣒ (⛊) 2024 5 ( Git) — 2024-11 – p.13/16
3 1 2 3 3 <- data.frame( = 1$ ,
= 1$ , = 2$ , = 2$ ) plot( 3) 2 12 : plot 2024 5 ( Git) — 2024-11 – p.14/16
ⱥㄒ 20 40 60 80 20 40 60 80 100
13 14 15 16 17 20 40 60 80 ᩘᏛ 㐠ື㛫 0 5 10 15 13 14 15 16 17 20 40 60 80 100 0 5 10 15 ▷㊥㞳 2024 5 ( Git) — 2024-11 – p.15/16
2024 5 ( Git) — 2024-11 – p.16/16