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Boxes and whiskers — generated by Stable Diffusion XL v1.0 2024 4 (WBS) 2024 4 — 2024-11 – p.1/11

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https://speakerdeck.com/ks91/collections/corporate-data-analysis-2024-winter 2024 4 — 2024-11 – p.2/11

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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 4 — 2024-11 – p.3/11

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( ) 2024 4 — 2024-11 – p.4/11

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( ) (histogram) x ( : 10 ) y ( ) 2024 4 — 2024-11 – p.5/11

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“ .txt” # > <- read.table(" .txt", header=T) > attach( ) # ( ) > hist( ) # > hist( ) # # > hist( , xlab=" ", ylab=" ", main=" ") ‘hist( . . . )’ ‘xlab’ ‘ylab’ x y ‘main’ 2024 4 — 2024-11 – p.6/11

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਺ֶͷ੒੷ͷ౓਺෼෍ ᩘᏛࡢᚓⅬ ᗘᩘ 0 20 40 60 80 100 0 5 10 15 2024 4 — 2024-11 – p.7/11

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(box plot / box-and-whisker plot) ( ; box) 1 2 ( ) 3 1 −1 . 5× 3 +1 . 5× ◦ 2024 4 — 2024-11 – p.8/11

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“ .txt” # attach( ) > boxplot( ) # > boxplot( ) # > boxplot( , ) # > boxplot( ) # > boxplot( , ylim=c(0, 100)) # 0 100 ‘boxplot( . . . )’ ( ) ( ) boxplot( [2:3], ylim=c(0, 100)) 2024 4 — 2024-11 – p.9/11

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ⱥㄒ ᩘᏛ 0 20 40 60 80 100 2024 4 — 2024-11 – p.10/11

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2024 4 — 2024-11 – p.11/11