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
66
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
ロボティクスの技術 / Robotics Technology
ks91
PRO
0
61
インシデントレスポンス演習 I / Incident Response Exercise I
ks91
PRO
0
88
責任 2.0/3.0 ∼ 知的創造過程の脱領土化 / Responsibility 2.0/3.0 - The Deterritorialization of the Intellectual Creative Process
ks91
PRO
0
17
エージェント化するAI:現在地とその先に起きる変化 〜 おかわり / AI as Agents: The Current State and the Changes Ahead - a second helping
ks91
PRO
0
31
金融テクノロジーのガバナンス / Governance of Financial Technology
ks91
PRO
0
69
セキュリティの基礎とインシデントレスポンス / Security Fundamentals and Incident Response
ks91
PRO
0
95
やり抜く力を見せるエージェントたち / Agents Who Demonstrate Perseverance
ks91
PRO
0
37
ブロックチェーン / Blockchain
ks91
PRO
0
130
デジタルとコミュニケーション / Digital and Communication
ks91
PRO
0
54
Other Decks in Technology
See All in Technology
Claude Code の Sandbox 機能を Anthropic Sandbox Runtime(srt) で試そう!/lets-play-anthropic-sandbox-runtime
tomoki10
1
590
200個のGitHubリポジトリを横断調査したかった
icck
0
130
2026TECHFRESH畢業分享會 - AI 時代的人生存檔點
line_developers_tw
PRO
0
970
2026TECHFRESH畢業分享會 - 原生還是跨平台? App 開發踩坑實錄
line_developers_tw
PRO
0
980
Android の公式 Skill / Android skills
yanzm
0
140
Snowflakeと仲良くなる第一歩
coco_se
4
460
非定型業務をAI slackbotで自動化する ~ 社内要望を自動壁打ちするbotを作った ~/automating-ad-hoc-work-with-ai-slackbot
shibayu36
0
650
AGENTS.mdとSkillsで始めるAIエージェント活用
sonoda_mj
3
210
EventBridge Connection
_kensh
5
710
「エンジニア進化論」2028年の開発完全自動化、エンジニアはどう進化するか
cyberagentdevelopers
PRO
6
5.1k
AIソロプレナー時代に2ヶ月で20人増員した事業創造会社の開発組織の話
miyatakoji
0
650
【Snowflake Summit 2026 Recap!!】Snowflake Summit Deep Dive: Security & Governance
civitaspo
0
150
Featured
See All Featured
Raft: Consensus for Rubyists
vanstee
141
7.5k
Building a Scalable Design System with Sketch
lauravandoore
463
34k
How to Get Subject Matter Experts Bought In and Actively Contributing to SEO & PR Initiatives.
livdayseo
0
140
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
1
190
Avoiding the “Bad Training, Faster” Trap in the Age of AI
tmiket
0
170
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
5
1.1k
Beyond borders and beyond the search box: How to win the global "messy middle" with AI-driven SEO
davidcarrasco
3
160
Collaborative Software Design: How to facilitate domain modelling decisions
baasie
1
250
Pawsitive SEO: Lessons from My Dog (and Many Mistakes) on Thriving as a Consultant in the Age of AI
davidcarrasco
0
160
What Being in a Rock Band Can Teach Us About Real World SEO
427marketing
0
250
Darren the Foodie - Storyboard
khoart
PRO
3
3.4k
The Illustrated Children's Guide to Kubernetes
chrisshort
51
52k
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