棒グラフ、帯グラフ(、円グラフ) / Bar chart, band chart (, pie chart)

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6回で使用したスライドです。

Transcript

1. Boxes and whiskers — generated by Stable Diffusion XL v1.0 2024 6 ( ) (WBS) 2024 6 ( ) — 2024-11 – p.1/23
2. https://speakerdeck.com/ks91/collections/corporate-data-analysis-2024-winter 2024 6 ( ) — 2024-11 – p.2/23
3. ( 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 6 ( ) — 2024-11 – p.3/23
4. ( ) ( ) 2024 6 ( ) — 2024-11 – p.4/23
5. (bar chart) y ( ) cda-demo “ .R” Git “ .R” 1 2024 6 ( ) — 2024-11 – p.5/23
6. “ .txt” 1 1 <- read.table(" .txt", header=T) 10 barplot( 1$ [1:10], names.arg=c(1:10), xlab=" ", ylab=" ", main=" 1 10 ") ‘barplot( . . . )’ : 2024 6 ( ) — 2024-11 – p.6/23
7. 1 2 3 4 5 6 7 8 9 10 ฟᖍ␒ྕ1ࠥ10ࡢⱥㄒࡢヨ㦂⤖ᯝ ฟᖍ␒ྕ ᚓⅬ 0 20 40 60 80 2024 6 ( ) — 2024-11 – p.7/23
8. ( 10 ) 1 2 ## t(table) table ## (matrix) 2 <- t( data.frame( = 1$ [1:10], = 1$ [1:10])) (‘beside=T’) barplot( , beside=T, names.arg=c(1:10), legend.text=T, ylim=c(0, 100), xlab=" ", ylab=" ", main=" 1 10 ") : 2024 6 ( ) — 2024-11 – p.8/23
9. 1 2 3 4 5 6 7 8 9 10 ⱥㄒ ᩘᏛ ฟᖍ␒ྕ1ࠥ10ࡢⱥㄒ࣭ᩘᏛࡢヨ㦂⤖ᯝ ฟᖍ␒ྕ ᚓⅬ 0 20 40 60 80 100 2024 6 ( ) — 2024-11 – p.9/23
10. 100% barplot 2024 6 ( ) — 2024-11 – p.10/23
11. A∼D ( 100%) X Y data1 <- c( "A "=51, "B "=21, "C "=20, "D "=8) data2 <- c( "A "=33, "B "=35, "C "=20, "D "=12) data <- matrix(c(data1, data2), length(data1), 2) # 4 2 colnames(data) <- c("X ", "Y ") # 2024 6 ( ) — 2024-11 – p.11/23
12. barplot(data, horiz=T, col=cm.colors(4), xlab=" (%)", legend.text=names(data1), main=" ") ‘horiz’ ( F (False)) ‘col’ ‘cm.colors(4)’ cm ( ) 4 ‘legend.text=names(data1)’ data1 2024 6 ( ) — 2024-11 – p.12/23
13. Xᆅᇦ Yᆅᇦ A♫〇 B♫〇 C♫〇 D♫〇 ᆅᇦูࢩ࢙࢔ ࢩ࢙࢔ (%) 0 20 40 60 80 100 2024 6 ( ) — 2024-11 – p.13/23
14. ( ) barplot(data, col=cm.colors(4), ylab=" (%)", legend.text=names(data1), main=" ") ‘horiz’ R ggplot2 2024 6 ( ) — 2024-11 – p.14/23
15. Xᆅᇦ Yᆅᇦ D♫〇 C♫〇 B♫〇 A♫〇 ᆅᇦูࢩ࢙࢔ ࢩ࢙࢔ (%) 0 20 40 60 80 100 2024 6 ( ) — 2024-11 – p.15/23
16. barplot(data, beside=T, col=cm.colors(4), ylab=" (%)", legend.text=names(data1), main=" ") ‘beside=T’ 2024 6 ( ) — 2024-11 – p.16/23
17. Xᆅᇦ Yᆅᇦ A♫〇 B♫〇 C♫〇 D♫〇 ᆅᇦูࢩ࢙࢔ ࢩ࢙࢔ (%) 0 10 20 30 40 50 2024 6 ( ) — 2024-11 – p.17/23
18. ## ## col ## density density <- c(50, 25, 13, 7) barplot(data, beside=T, density=density, ylab=" (%)", legend.text=names(data1), main=" ") ‘density’ 2024 6 ( ) — 2024-11 – p.18/23
19. Xᆅᇦ Yᆅᇦ A♫〇 B♫〇 C♫〇 D♫〇 ᆅᇦูࢩ࢙࢔ ࢩ࢙࢔ (%) 0 10 20 30 40 50 2024 6 ( ) — 2024-11 – p.19/23
20. 2024 6 ( ) — 2024-11 – p.20/23
21. pie(data1, col=cm.colors(4), main="X ") pie(data2, col=cm.colors(4), main="Y ") ‘pie( . . . )’ 2024 6 ( ) — 2024-11 – p.21/23
22. A♫〇 B♫〇 C♫〇 D♫〇 Xᆅᇦ࡛ࡢࢩ࢙࢔ A♫〇 B♫〇 C♫〇 D♫〇 Yᆅᇦ࡛ࡢࢩ࢙࢔ X B C Y A B D % p.15 p.17 2024 6 ( ) — 2024-11 – p.22/23
23. 2024 6 ( ) — 2024-11 – p.23/23