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
さまざまなグラフ描画(1) / Various graphical representatio...
Search
Kenji Saito
PRO
November 29, 2024
Technology
92
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
さまざまなグラフ描画(1) / Various graphical representations (1)
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7回で使用したスライドです。
Kenji Saito
PRO
November 29, 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
14
インシデントレスポンス演習 I / Incident Response Exercise I
ks91
PRO
0
22
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
9
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
27
金融テクノロジーのガバナンス / Governance of Financial Technology
ks91
PRO
0
50
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
87
やり抜く力を見せるエージェントたち / Agents Who Demonstrate Perseverance
ks91
PRO
0
35
ブロックチェーン / Blockchain
ks91
PRO
0
120
デジタルとコミュニケーション / Digital and Communication
ks91
PRO
0
53
Other Decks in Technology
See All in Technology
SONiC Scale-Up Working Group から探る Scale-UpやUltraEthernet機能の実装方法
ebiken
PRO
1
120
エラーバジェットのアラートのタイミングを考える.pdf
kairim0
0
120
Claude Code の Sandbox 機能を Anthropic Sandbox Runtime(srt) で試そう!/lets-play-anthropic-sandbox-runtime
tomoki10
1
540
Android の公式 Skill / Android skills
yanzm
0
130
protovalidate-es を導入してみた
bengo4com
0
170
【Cyber-sec+】経営層を"動かす"ための考え方
hssh2_bin
0
130
Bucharest Tech Week 2026 - Reinventing testing practices in the AI era
edeandrea
PRO
1
140
Oracle AI Database@Google Cloud:サービス概要のご紹介
oracle4engineer
PRO
6
1.5k
連合学習と機密コンピューティング
lycorptech_jp
PRO
0
100
2026.06.13_AI時代に事業会社が「SIer出身エンジニア」を求める理由 / Why Businesses Seek Engineers with a System Integrator Background in the AI Era
jumtech
0
1k
スキルと MCP ツール、責務をどう分けるか? AI が迷わないインターフェース設計の戦略
cdataj
1
950
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
810
Featured
See All Featured
Why Our Code Smells
bkeepers
PRO
340
58k
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
34
2.8k
Making the Leap to Tech Lead
cromwellryan
135
9.9k
How to train your dragon (web standard)
notwaldorf
97
6.7k
We Have a Design System, Now What?
morganepeng
55
8.2k
Paper Plane
katiecoart
PRO
1
51k
Context Engineering - Making Every Token Count
addyosmani
9
960
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
11
940
Digital Ethics as a Driver of Design Innovation
axbom
PRO
1
310
Ecommerce SEO: The Keys for Success Now & Beyond - #SERPConf2024
aleyda
1
2k
The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs
inesmontani
PRO
3
3.5k
Site-Speed That Sticks
csswizardry
13
1.2k
Transcript
Boxes and whiskers — generated by Stable Diffusion XL v1.0
2024 7 (1) (WBS) 2024 7 (1) — 2024-11 – p.1/18
https://speakerdeck.com/ks91/collections/corporate-data-analysis-2024-winter 2024 7 (1) — 2024-11 – p.2/18
( 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 7 (1) — 2024-11 – p.3/18
( ) ( ) 2024 7 (1) — 2024-11 –
p.4/18
(line chart) x y cda-demo “ -1.R” Git “ -1.R”
1 2024 7 (1) — 2024-11 – p.5/18
“ .txt” 1 1 <- read.table(" .txt", header=T) A 4
plot( 1$ , 1$A , type="o", pch=0, ylim=c(40, 80), xaxp=c(1,4,3), ylab=" ", xlab=" ", main="A ") ‘type="o"’ ‘pch=0’ ‘xaxp=c(1,4,3)’ x 1 4 3 1.5 2024 7 (1) — 2024-11 – p.6/18
1 2 3 4 40 50 60 70 80 A⤌ࡢᖹᆒⅬࡢ᥎⛣
ᶍヨᅇ ᖹᆒⅬ 2024 7 (1) — 2024-11 – p.7/18
plot ( ) type ( ) : "p" ( )
"l" ( ) "o" ( ) "h" ( ) cf. https://r-charts.com/base-r/line-types/ (Line plot types) pch (plotting character)( ) : 0 ( ) 1 (◦) 2 (△) 3 (+) 4 (×) cf. https://r-charts.com/base-r/pch-symbols/ lty (line type)( ) : 1 ( ) 2 ( ) 3 ( ) cf. https://r-charts.com/base-r/line-types/ (Line types) lwd (line width)( ) 2024 7 (1) — 2024-11 – p.8/18
(1/2) A B plot( 1$ , 1$A , type="o", lty=1,
pch=1, col=1, ylim=c(40, 80), xaxp=c(1,4,3), ylab=" ", xlab=" ", main="A,B,C,D ") par(new=T) plot( 1$ , 1$B , type="o", lty=2, pch=2, col=2, ylim=c(40, 80), xaxp=c(1,4,3), axes=F, ann=F) ‘par(new=T)’ ( ) B plot ‘axes=F’ ‘ann=F’ ‘ylim’ ‘xaxp’ ‘lty’ ‘pch’ ‘col’ 2024 7 (1) — 2024-11 – p.9/18
(2/2) C D par(new=T) plot( 1$ , 1$C , type="o",
lty=3, pch=3, col=3, ylim=c(40, 80), xaxp=c(1,4,3), axes=F, ann=F) par(new=T) plot( 1$ , 1$D , type="o", lty=4, pch=4, col=4, ylim=c(40, 80), xaxp=c(1,4,3), axes=F, ann=F) legend("topleft", legend=names( 1)[2:5], lty=1:4, pch=1:4, col=1:4) ‘legend(. . .)’ ( top-left) 2024 7 (1) — 2024-11 – p.10/18
1 2 3 4 40 50 60 70 80 A,B,C,D⤌ࡢᖹᆒⅬࡢ᥎⛣
ᶍヨᅇ ᖹᆒⅬ A⤌ B⤌ C⤌ D⤌ 2024 7 (1) — 2024-11 – p.11/18
(radar chart) n n 0 n n 2024 7 (1)
— 2024-11 – p.12/18
(1/2) AI(GPT-4) install.packages("fmsb") library("fmsb") 2 <- read.table(" .txt", header=T) maxmin
<- data.frame( =c(7,0), =c(7,0), =c(7,0), =c(7,0), =c(7,0)) fmsb ( ) maxmin 2024 7 (1) — 2024-11 – p.13/18
(2/2) data <- rbind(maxmin, 2) radarchart(data, seg=7, centerzero=T, title="GPT-4 ")
legend("topleft", legend=c(" ", " "), lty=1:2, pch=16, col=c("black", "red")) ‘rbind(. . .)’ ‘radarchart(. . .)’ 2 3 ( 1∼ ) ‘seg=7’ 7 ‘centerzero=T’ 0 2024 7 (1) — 2024-11 – p.14/18
GPT-4 ࡼࡿே㛫ࡢᛶ᱁ࡢᨃែ ༠ㄪᛶ ㄔᐇᛶ እྥᛶ ᚰ㓄ᛶ 㛤ᨺᛶ ᨃែࡢᑐ㇟ ᨃែࡢ⤖ᯝ 2024
7 (1) — 2024-11 – p.15/18
2 barplot(as.matrix( 2), beside=T, ylim=c(0, 7), yaxp=c(1,7,6), col=c("black", "red"), density=c(25,
50), legend.text=c(" ", " "), args.legend=list(x="topleft"), main="GPT-4 ") ‘as.matrix(. . .)’ ( ) ‘args.legend’ 2024 7 (1) — 2024-11 – p.16/18
༠ㄪᛶ እྥᛶ 㛤ᨺᛶ ᨃែࡢᑐ㇟ ᨃែࡢ⤖ᯝ GPT-4 ࡼࡿே㛫ࡢᛶ᱁ࡢᨃែ 1 2 3
4 5 6 7 ㄔᐇᛶ ᚰ㓄ᛶ 2024 7 (1) — 2024-11 – p.17/18
2024 7 (1) — 2024-11 – p.18/18