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Boxes and whiskers — generated by Stable Diffusion XL v1.0 2024 6 ( ) (WBS) 2024 6 ( ) — 2024-11 – p.1/23

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https://speakerdeck.com/ks91/collections/corporate-data-analysis-2024-winter 2024 6 ( ) — 2024-11 – p.2/23

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( 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

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( ) ( ) 2024 6 ( ) — 2024-11 – p.4/23

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(bar chart) y ( ) cda-demo “ .R” Git “ .R” 1 2024 6 ( ) — 2024-11 – p.5/23

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“ .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

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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

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( 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

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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

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100% barplot 2024 6 ( ) — 2024-11 – p.10/23

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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

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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

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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

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( ) barplot(data, col=cm.colors(4), ylab=" (%)", legend.text=names(data1), main=" ") ‘horiz’ R ggplot2 2024 6 ( ) — 2024-11 – p.14/23

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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

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barplot(data, beside=T, col=cm.colors(4), ylab=" (%)", legend.text=names(data1), main=" ") ‘beside=T’ 2024 6 ( ) — 2024-11 – p.16/23

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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

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## ## 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

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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

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2024 6 ( ) — 2024-11 – p.20/23

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pie(data1, col=cm.colors(4), main="X ") pie(data2, col=cm.colors(4), main="Y ") ‘pie( . . . )’ 2024 6 ( ) — 2024-11 – p.21/23

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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

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2024 6 ( ) — 2024-11 – p.23/23