Tokyo.R#89 Data visualization

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#89 @kilometer00 2021.01.23 BeginneR Session -- Data Visualization --

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Who！？誰だ？

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Who！？名前：三村 @kilometer 職業：ポスドク (こうがくはくし) 専⾨：⾏動神経科学(霊⻑類) 脳イメージング医療システム⼯学 R歴： ~ 10年ぐらい流⾏: 直⽴⼆⾜歩⾏

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㲚⚥傴盈ס緾錌מ⹆ⱶ׊ױ׊גն 鞄㚞ꝧ㡎 "NB[PO־׼◀硜ך׀ױ׌

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BeginneR Session

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BeginneR

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BeginneR Advanced Hoxo_m If I have seen further it is by standing on the shoulders of Giants. -- Sir Isaac Newton, 1676

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Before A'er BeginneR Session BeginneR BeginneR

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Why & How

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"a" != "b" # is A in B? ブール演算⼦ Boolean Algebra [1] TRUE 1 %in% 10:100 # is A in B? [1] FALSE

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George Boole 1815 - 1864 A Class-Room Introduction to Logic https://niyamaklogic.wordpress.com/c ategory/laws-of-thoughts/ Mathematician Philosopher &

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ブール演算⼦ Boolean Algebra A == B A != B George Boole 1815 - 1864 A | B A & B A %in% B # equal to # not equal to # or # and # is A in B? wikipedia

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1JQFBMHFCSB X %>% f X %>% f(y) X %>% f %>% g X %>% f(y, .) f(X) f(X, y) g(f(X)) f(y, X) %>% {magrittr} 「dplyr再⼊⾨（基本編）」yutanihilation https://speakerdeck.com/yutannihilation/dplyrzai-ru-men-ji-ben-bian

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① ② ③ ④ lift take pour put Bring me milk from the kitchen!

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① lift Bring me milk from the kitchen! lift(Robot, glass, table) -> Robot' take ② take(Robot', fridge, milk) -> Robot''

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Bring me milk from the kitchen! Robot' <- lift(Robot, glass, table) Robot'' <- take(Robot', fridge, milk) Robot''' <- pour(Robot'', milk, glass) result <- put(Robot''', glass, table) result <- Robot %>% lift(glass, table) %>% take(fridge, milk) %>% pour(milk, glass) %>% put(glass, table) by using pipe, # ① # ② # ③ # ④ # ① # ② # ③ # ④

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Programing

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Programing

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Programing Write Run Read Think Write Run Read Think Communicate Share

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Text Image Information Intention Data decode encode Data analysis feedback ≠

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Text Image First, A. Next, B. Then C. Finally D. time Intention encode "Frozen" structure A B C D time value α β

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&ODPEF "QQMF 3FBM "QQMF *OGPSNBUJPO %FDPEF

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%JWFSHFODF 3FBM *OGP %BUB "QQMF &ODPEJOH

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"QQMF &ODPEF 'SVJU 3FE JNBHF 3FBM *OGPSNBUJPO

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"QQMF &ODPEF 'SVJU 3FE JNBHF 3FBM *OGPSNBUJPO DIBOOFM

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⫝⥼ (mapping) !: # → % # % ֵ׾䗯㕔ס꥗⺬ס釐碛؅յ⮯ס䗯㕔ס꥗⺬ס גדחס釐碛מ㵚䑴טׄ׾وٞجت

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⫝⥼ (mapping) !"##$%& '"(" )!"&*

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! " #$ %$ #& %& ! " %$ %& #$ #& ⺎釱⴫ ⊂ ⫝⥼ mapping

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! " #$ %$ #& %& ! " %$ %& #$ #& ⺎釱⴫ ⊂ ⫝⥼ mapping x axis, y axis, color, fill, shape, linetype, alpha… aesthetic channels

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"QQMF &ODPEF 'SVJU 3FE JNBHF 3FBM *OGPSNBUJPO DIBOOFM

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! " #$ %$ #& %& ! " %$ %& #$ #& mapping x axis, y axis, color, fill, shape, linetype, alpha… aesthetic channels data ggplot2 package

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ggplot2 # install.packages("tidyverse") library(tidyverse) dat <- data.frame(a = 1:3, b = 8:10) Attach package Simple example > dat a b 1 1 8 2 2 9 3 3 10

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dat <- data.frame(a = 1:3, b = 8:10) ggplot(data = dat) + geom_point(mapping = aes(x = a, y = b)) ggplot2

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dat <- data.frame(a = 1:3, b = 8:10) ggplot(data = dat) + geom_point(mapping = aes(x = a, y = b)) ! " #! $! #" $" ! " $! $" #! #" mapping x axis, y axis, color, fill, shape, linetype, alpha… aesthetic channels data ggplot2

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dat <- data.frame(a = 1:3, b = 8:10) ggplot(data = dat) + geom_point(mapping = aes(x = a, y = b)) + geom_path(mapping = aes(x = a, y = b))

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dat <- data.frame(a = 1:3, b = 8:10) ggplot(data = dat, mapping = aes(x = a, y = b)) + geom_point() + geom_path() inheritance

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dat <- data.frame(a = 1:3, b = 8:10) ggplot(data = dat) + aes(x = a, y = b)) + geom_point() + geom_path()

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dat <- data.frame(a = 1:3, b = 8:10) ggplot(data = dat) + aes(x = a, y = b)) + geom_point() + geom_path()

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dat <- data.frame(a = 1:3, b = 8:10) g <- ggplot(data = dat) + aes(x = a, y = b)) + geom_point() g + geom_path()

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Anscombe's quartet > anscombe x1 x2 x3 x4 y1 y2 y3 y4 1 10 10 10 8 8.04 9.14 7.46 6.58 2 8 8 8 8 6.95 8.14 6.77 5.76 3 13 13 13 8 7.58 8.74 12.74 7.71 4 9 9 9 8 8.81 8.77 7.11 8.84 5 11 11 11 8 8.33 9.26 7.81 8.47 6 14 14 14 8 9.96 8.10 8.84 7.04 7 6 6 6 8 7.24 6.13 6.08 5.25 8 4 4 4 19 4.26 3.10 5.39 12.50 9 12 12 12 8 10.84 9.13 8.15 5.56 10 7 7 7 8 4.82 7.26 6.42 7.91 11 5 5 5 8 5.68 4.74 5.73 6.89

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ggplot(data = anscombe) + aes(x = x1, y = y1)) + geom_point() Anscombe's quartet

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> anscombe x1 x2 x3 x4 y1 y2 y3 y4 1 10 10 10 8 8.04 9.14 7.46 6.58 2 8 8 8 8 6.95 8.14 6.77 5.76 3 13 13 13 8 7.58 8.74 12.74 7.71 4 9 9 9 8 8.81 8.77 7.11 8.84 5 11 11 11 8 8.33 9.26 7.81 8.47 6 14 14 14 8 9.96 8.10 8.84 7.04 7 6 6 6 8 7.24 6.13 6.08 5.25 8 4 4 4 19 4.26 3.10 5.39 12.50 9 12 12 12 8 10.84 9.13 8.15 5.56 10 7 7 7 8 4.82 7.26 6.42 7.91 11 5 5 5 8 5.68 4.74 5.73 6.89 x y mapping Anscombe's quartet

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> anscombe x1 x2 x3 x4 y1 y2 y3 y4 1 10 10 10 8 8.04 9.14 7.46 6.58 2 8 8 8 8 6.95 8.14 6.77 5.76 3 13 13 13 8 7.58 8.74 12.74 7.71 anscombe_long <- pivot_longer(data = anscombe, cols = everything(), names_pattern = "(.)(.)", names_to = c(".value", "key")) Wide -> Long form

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anscombe_long <- pivot_longer(data = anscombe, cols = everything(), names_pattern = "(.)(.)", names_to = c(".value", "key")) > anscombe_long # A tibble: 44 x 3 key x y 1 1 10 8.04 2 2 10 9.14 3 3 10 7.46 4 4 8 6.58 5 1 8 6.95 6 2 8 8.14 7 3 8 6.77 8 4 8 5.76 Anscombe's quartet

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anscombe_long <- pivot_longer(data = anscombe, cols = everything(), names_pattern = "(.)(.)", names_to = c(".value", "key")) g_anscomb <- ggplot(data = anscombe_long)+ aes(x = x, y = y, color = key)+ geom_point() > anscombe_long # A tibble: 44 x 3 key x y 1 1 10 8.04 2 2 10 9.14 3 3 10 7.46 4 4 8 6.58 5 1 8 6.95 6 2 8 8.14 7 3 8 6.77 8 4 8 5.76 Anscombe's quartet

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g_anscomb + facet_wrap( ~ key) Anscombe's quartet

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g_anscomb + facet_wrap( ~ key) + theme(legend.position = "none") Anscombe's quartet

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Wide Long Nested input output pivot_longer pivot_wider group_nest unnest ggplot visualization map output ggsave