{"id":479,"date":"2023-07-29T18:32:36","date_gmt":"2023-07-29T18:32:36","guid":{"rendered":"https:\/\/statorials.org\/ko\/%e1%84%85%e1%85%a9%e1%86%af%e1%84%85%e1%85%b5%e1%84%91%e1%85%a1%e1%86%b8-r-%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%84%91%e1%85%b5%e1%86%a8\/"},"modified":"2023-07-29T18:32:36","modified_gmt":"2023-07-29T18:32:36","slug":"%e1%84%85%e1%85%a9%e1%86%af%e1%84%85%e1%85%b5%e1%84%91%e1%85%a1%e1%86%b8-r-%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%84%91%e1%85%b5%e1%86%a8","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/%e1%84%85%e1%85%a9%e1%86%af%e1%84%85%e1%85%b5%e1%84%91%e1%85%a1%e1%86%b8-r-%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%84%91%e1%85%b5%e1%86%a8\/","title":{"rendered":"R\uc5d0\uc11c \ub864\ub9ac\ud31d \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ub9c9\ub300\ud615 \ucc28\ud2b8\uc640 \ub9c8\ucc2c\uac00\uc9c0\ub85c \ub9c9\ub300\ud615 \ucc28\ud2b8\ub294<\/strong> \ubc94\uc8fc\ud615 \ubcc0\uc218\uc758 \uc591\uc801 \uac12\uc744 \ube44\uad50\ud558\ub294 \ub370 \uc720\uc6a9\ud569\ub2c8\ub2e4. \ub9c9\ub300\ub97c \uc0ac\uc6a9\ud558\ub294 \ub300\uc2e0 \ub9c9\ub300 \uc0ac\ud0d5 \ucc28\ud2b8\ub294 \ub05d\uc5d0 \uc6d0\uc774 \uc788\ub294 \uc120\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc815\ub7c9\uc801 \uac12\uc744 \ub098\ud0c0\ub0c5\ub2c8\ub2e4.<\/span><\/p>\n

\ub9c9\ub300 \uc0ac\ud0d5 \ucc28\ud2b8\ub294 \ucc28\ud2b8\uc758 \uc0c9\uc0c1 \uc591\uc744 \ucd5c\uc18c\ud654\ud558\uace0 \ucc28\ud2b8\uc758 \uc120\uc774\ub098 \ub2e4\ub978 \uadf8\ub798\ud53d\uc774 \uc544\ub2cc \ucc28\ud2b8\uc758 \uc2e4\uc81c \uac12\uc5d0 \ub3c5\uc790\uc758 \uc8fc\uc758\ub97c \uc9d1\uc911\uc2dc\ud0a4\uba74\uc11c \uc5ec\ub7ec \ubc94\uc8fc\ub97c \ube44\uad50\ud560 \uc218 \uc788\ub294 \uc88b\uc740 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ub9ce\uc740 \uc0ac\ub78c\ub4e4\uc740 \ub610\ud55c \ub9c9\ub300\uc0ac\ud0d5 \ud310\uc774 \ubbf8\ud559\uc801\uc73c\ub85c \ub9cc\uc871\uc2a4\ub7fd\ub2e4\uace0 \uc0dd\uac01\ud569\ub2c8\ub2e4.<\/span><\/p>\n

\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \ub2e4\uc74c \ub864\ub9ac\ud31d \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ub370 \ud544\uc694\ud55c \ub2e8\uacc4\ub97c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

\uc608: R\uc758 Lollipop \ucc28\ud2b8<\/strong><\/span><\/h2>\n

\uc774 \uc608\uc5d0\uc11c\ub294 mtcars<\/strong> \ub0b4\uc7a5 R \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n

 #view first six rows of mtcars\n<\/em><\/span>head(mtcars)\n<\/strong><\/pre>\n
<\/h3>\n
 \uae30\ubcf8 \ub864\ub9ac\ud31d \ucc28\ud2b8<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.  <\/strong> \ub370\uc774\ud130\uc138\ud2b8\uc5d0 \uc788\ub294 \uc790\ub3d9\ucc28 32\ub300 \uac01\uac01\uc758 mpg<\/em> (\uac24\ub7f0\ub2f9 \ub9c8\uc77c)\ub97c \ube44\uad50\ud558\ub294 \ub9c9\ub300\uc0ac\ud0d5 \ucc28\ud2b8\ub97c \ub9cc\ub4ed\ub2c8\ub2e4.<\/span><\/p>\n
 \uc790\ub3d9\ucc28 \uc774\ub984\uc740 \ub370\uc774\ud130\uc138\ud2b8\uc758 \ud589 \uc774\ub984\uc5d0 \uc815\uc758\ub418\uc5b4 \uc788\uc73c\ubbc0\ub85c \uba3c\uc800 \uc774\ub7ec\ud55c \ud589 \uc774\ub984\uc744 \ud3ec\ud568\ud558\ub294 \ub370\uc774\ud130\uc138\ud2b8\uc5d0 \uc0c8 \uc5f4\uc744 \ub9cc\ub4ed\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c\uc73c\ub85c \ub864\ub9ac\ud31d \ucc28\ud2b8\ub97c \ub9cc\ub4dc\ub294 \ub370 \uc0ac\uc6a9\ud560 ggplot2<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \ub85c\ub4dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 ggplot2\uc5d0\uc11c\ub294 geom_segment\ub97c<\/strong> \uc0ac\uc6a9\ud558\uc5ec \ud50c\ub86f\uc5d0 \uc120\uc744 \ub9cc\ub4ed\ub2c8\ub2e4. \uc2dc\uc791 \ubc0f \ub05d x \uac12\uc744 \uac01\uac01 0<\/em> \ubc0f mpg<\/em> \ub85c \uc124\uc815\ud588\uc2b5\ub2c8\ub2e4. \uc2dc\uc791 \ubc0f \ub05d y \uac12\uc744 char<\/em> \ub85c \uc124\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 #create new column for car names<\/span>\nmtcars$car <- row.names(mtcars)\n\n#load ggplot2<\/em> library<\/span>\nlibrary(ggplot2)\n\n#create lollipop chart<\/span>\nggplot(mtcars, aes(x = mpg, y = car)) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point()<\/strong><\/pre>\n
 \ub77c\ubca8 \ucd94\uac00<\/strong><\/span><\/h2>\n
 label<\/strong> \ubc0f geom_text<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ucc28\ud2b8\uc5d0 \ub808\uc774\ube14\uc744 \ucd94\uac00\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 ggplot(mtcars, aes(x = mpg, y = car, label = mpg<\/span> )) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point() +\n        geom_text(nudge_x = 1.5)<\/span><\/strong><\/pre>\n
 \ub610\ub294 \uac01 \uc904\uc758 \ub05d\uc5d0 \ub808\uc774\ube14\uc744 \ubc30\uce58\ud558\ub294 \ub300\uc2e0 \uc6d0\uc744 \ub354 \ud06c\uac8c \ub9cc\ub4e4\uace0 \ub808\uc774\ube14\uc758 \uae00\uaf34 \uc0c9\uc0c1\uc744 \ud770\uc0c9\uc73c\ub85c \ubcc0\uacbd\ud558\uc5ec \uc6d0 \ub0b4\ubd80\uc5d0 \ub808\uc774\ube14\uc744 \ubc30\uce58\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 ggplot(mtcars, aes(x = mpg, y = car, label = mpg)) +\n        geom_segment(aes(x = 0, y = car, xend = mpg, yend = car)) +\n        geom_point( size = 7<\/span> ) +\n        geom_text( color = 'white', size = 2<\/span> )<\/strong><\/pre>\n
 \uac12\uc744 \ud3c9\uade0\uacfc \ube44\uad50<\/strong><\/span><\/h2>\n
 \ub9c9\ub300\uc0ac\ud0d5 \ucc28\ud2b8\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac12\uc744 \ud2b9\uc815 \uc22b\uc790\uc640 \ube44\uad50\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4 \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c \ud3c9\uade0 mpg<\/em> \uac12\uc744 \ucc3e\uc740 \ub2e4\uc74c \uac01 \uc790\ub3d9\ucc28\uc758 mpg\ub97c<\/em> \ud3c9\uade0\uacfc \ube44\uad50\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 dplyr<\/strong> \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud3c9\uade0 mpg<\/em> \uac12\uc744 \ucc3e\uc740 \ub2e4\uc74c mpg\uc758<\/em> \uc624\ub984\ucc28\uc21c\uc73c\ub85c \uc790\ub3d9\ucc28\ub97c \uc815\ub82c\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 #load library dplyr\n<\/em><\/span>library(dplyr)\n\n#find mean value of mpg<\/em> and arrange cars in order by mpg<\/em> descending<\/span>\nmtcars_new <- mtcars %>%\n                arrange(mpg) %>%\n                mutate(mean_mpg = mean(mpg),\n                       flag = ifelse(mpg - mean_mpg > 0, TRUE, FALSE),\n                       car = factor(car, levels = .$car))\n\n#view first six rows of mtcars_new\n<\/em>head(mtcars_new)\n<\/span><\/span><\/strong><\/pre>\n
 \uadf8\ub7f0 \ub2e4\uc74c \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc6d0\uc758 \uc0c9\uc0c1\uc744 \ud50c\ub798\uadf8<\/em> \uac12(\uc774 \uacbd\uc6b0 TRUE \ub610\ub294 FALSE)\uacfc \ub3d9\uc77c\ud558\uac8c \uc124\uc815\ud558\uace0 \uac01 \uc790\ub3d9\ucc28\uc758 \uc2dc\uc791 x \uac12\uc744 \ud3c9\uade0 mpg<\/em> \uac12\uacfc \ub3d9\uc77c\ud558\uac8c \uc124\uc815\ud558\uc5ec \ub9c9\ub300 \uc0ac\ud0d5 \ucc28\ud2b8\ub97c \ub9cc\ub4ed\ub2c8\ub2e4.<\/span><\/p>\n
 ggplot(mtcars_new, aes(x = mpg, y = car, color = flag<\/span> )) +\n        geom_segment(aes( x = mean_mpg<\/span> , y = car, xend = mpg, yend = car)) +\n        geom_point()<\/strong><\/pre>\n
 \uc774\ub7ec\ud55c \uc720\ud615\uc758 \uc0c9\uc0c1 \ud314\ub808\ud2b8\ub97c \uc0ac\uc6a9\ud558\uba74 \uc5b4\ub5a4 \uc790\ub3d9\ucc28\uac00 \ub370\uc774\ud130 \uc138\ud2b8 \ud3c9\uade0\ubcf4\ub2e4 mpg\uac00<\/em> \ub0ae\uace0 \ub192\uc740\uc9c0 \uc27d\uac8c \ud655\uc778\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uae30\ubcf8\uc801\uc73c\ub85c R\uc740 \ucc28\ud2b8 \uc0c9\uc0c1\uc73c\ub85c \ud30c\ub780\uc0c9\uacfc \ube68\uac04\uc0c9\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uadf8\ub7ec\ub098 scale_color_manual<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uba74 \uc6d0\ud558\ub294 \uc0c9\uc0c1\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 ggplot(mtcars_new, aes(x = mpg, y = car, color = flag)) +\n        geom_segment(aes(x = mean_mpg, y = car, xend = mpg, yend = car)) +\n        geom_point() +\n        scale_color_manual(values = c(\"purple\", \"blue\"))<\/span><\/strong><\/pre>\n
 \ucc28\ud2b8 \ubbf8\ud559 \ubcc0\uacbd<\/span><\/span><\/strong><\/h2>\n
 \ub9c8\uc9c0\ub9c9\uc73c\ub85c ggplot2<\/strong> \uc758 \uad11\ubc94\uc704\ud55c \uae30\ub2a5\uc744 \uc0ac\uc6a9\ud558\uc5ec \ucc28\ud2b8\uc758 \ubbf8\ud559\uc744 \ucd94\uac00\ub85c \uc218\uc815\ud558\uace0 \uc804\ubb38\uc801\uc778 \ucd5c\uc885 \uc81c\ud488\uc744 \ub9cc\ub4e4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 ggplot(mtcars_new, aes(x = mpg, y = car, color = flag)) +\n        geom_segment(aes(x = mean_mpg, y = car, xend = mpg, yend = car), color = \"grey\") +\n        geom_point() +\n        annotate(\"text\", x = 27, y = 20, label = \"Above Average\", color = \"#00BFC4\", size = 3, hjust = -0.1, vjust = .75) +\n        annotate(\"text\", x = 27, y = 17, label = \"Below Average\", color = \"#F8766D\", size = 3, hjust = -0.1, vjust = -.1) +\n        geom_segment(aes(x = 26.5, xend = 26.5, y = 19, yend = 23),\n                     arrow = arrow(length = unit(0.2,\"cm\")), color = \"#00BFC4\") +\n        geom_segment(aes(x = 26.5, xend = 26.5, y = 18, yend = 14),\n                     arrow = arrow(length = unit(0.2,\"cm\")), color = \"#F8766D\") +\n        labs(title = \"Miles per Gallon by Car\") +\n        theme_minimal() +\n        theme(axis.title = element_blank(),\n              panel.grid.minor = element_blank(),\n              legend.position = \"none\",\n              text = element_text(family = \"Georgia\"),\n              axis.text.y = element_text(size = 8),\n              plot.title = element_text(size = 20, margin = margin(b = 10), hjust = 0),\n              plot.subtitle = element_text(size = 12, color = \"darkslategrey\", margin = margin(b = 25, l = -25)),\n              plot.caption = element_text(size = 8, margin = margin(t = 10), color = \"grey70\", hjust = 0))<\/strong><\/pre>\n","protected":false},"excerpt":{"rendered":"
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