{"id":2005,"date":"2023-07-24T02:59:17","date_gmt":"2023-07-24T02:59:17","guid":{"rendered":"https:\/\/statorials.org\/ko\/ggplot-%e1%84%92%e1%85%b5%e1%84%89%e1%85%b3%e1%84%90%e1%85%a9%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%86%b7-%e1%84%87%e1%85%b5%e1%84%8b%e1%85%b2%e1%86%af\/"},"modified":"2023-07-24T02:59:17","modified_gmt":"2023-07-24T02:59:17","slug":"ggplot-%e1%84%92%e1%85%b5%e1%84%89%e1%85%b3%e1%84%90%e1%85%a9%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%86%b7-%e1%84%87%e1%85%b5%e1%84%8b%e1%85%b2%e1%86%af","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/ggplot-%e1%84%92%e1%85%b5%e1%84%89%e1%85%b3%e1%84%90%e1%85%a9%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%86%b7-%e1%84%87%e1%85%b5%e1%84%8b%e1%85%b2%e1%86%af\/","title":{"rendered":"Ggplot2\uc758 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc5d0 \ubc31\ubd84\uc728\uc744 \ud45c\uc2dc\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec ggplot2\uc5d0\uc11c \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc758 y\ucd95\uc5d0 \ubc31\ubd84\uc728\uc744 \ud45c\uc2dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 library<\/span> (ggplot2)\nlibrary<\/span> (scales)\n\n#create histogram with percentages\n<\/span>ggplot(data, aes<\/span> (x = factor<\/span> (team))) +  \n  geom_bar( aes<\/span> (y = (..count..)\/ sum<\/span> (..count..))) +\n  scale_y_continuous(labels=percent)\n<\/strong><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608 1: \ubc31\ubd84\uc728\uc774 \ud3ec\ud568\ub41c \uae30\ubcf8 \ud788\uc2a4\ud1a0\uadf8\ub7a8<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Y\ucd95\uc5d0 \ubc31\ubd84\uc728\uc774 \ud45c\uc2dc\ub41c \ubc94\uc8fc\ud615 \ubcc0\uc218\uc5d0 \ub300\ud55c \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 library<\/span> (ggplot2)\nlibrary<\/span> (scales)\n\n#define data frame\n<\/span>data <- data. frame<\/span> (team = c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'C', 'C', 'C', 'C') ,\n                   points = c(77, 79, 93, 85, 89, 99, 90, 80, 68, 91, 92))\n\n#create histogram with percentages\n<\/span>ggplot(data, aes<\/span> (x = factor<\/span> (team))) +  \n  geom_bar( aes<\/span> (y = (..count..)\/ sum<\/span> (..count..))) +\n  scale_y_continuous(labels=percent)<\/strong> <\/pre>\n
\"\"<\/p>\n
 \uc608 2: \ubc31\ubd84\uc728\uc774 \ud3ec\ud568\ub41c \ud788\uc2a4\ud1a0\uadf8\ub7a8(\uc18c\uc218\uc810 \uc81c\uac70)<\/strong><\/span><\/h3>\n
 \uc815\ubc00\ub3c4<\/strong> \uc778\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec y\ucd95\uc5d0 \uc815\uc218\ub9cc \ubc31\ubd84\uc728\ub85c \ud45c\uc2dc\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 library<\/span> (ggplot2)\nlibrary<\/span> (scales)\n\n#define data frame\n<\/span>data <- data. frame<\/span> (team = c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'C', 'C', 'C', 'C') ,\n                   points = c(77, 79, 93, 85, 89, 99, 90, 80, 68, 91, 92))\n\n#create histogram with percentages\n<\/span>ggplot(data, aes<\/span> (x = factor<\/span> (team))) +  \n  geom_bar( aes<\/span> (y = (..count..)\/ sum<\/span> (..count..))) +\n  scale_y_continuous(labels = scales ::<\/span> percent_format(accuracy = 1L<\/span> ))<\/strong> <\/pre>\n
\"\ubc31\ubd84\uc728\uc774<\/p>\n
 \uc608 3: \ubc31\ubd84\uc728\uc774 \ud3ec\ud568\ub41c \uc0ac\uc6a9\uc790 \uc815\uc758 \ud788\uc2a4\ud1a0\uadf8\ub7a8<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 Y\ucd95\uc5d0 \ubc31\ubd84\uc728\uc774 \ud45c\uc2dc\ub418\uace0 \uc0ac\uc6a9\uc790 \uc815\uc758 \uc81c\ubaa9, \ucd95 \ub808\uc774\ube14 \ubc0f \uc0c9\uc0c1\uc774 \ud3ec\ud568\ub41c \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span> <\/p>\n
 library<\/span> (ggplot2)\nlibrary<\/span> (scales)\n\n#define data frame\n<\/span>data <- data. frame<\/span> (team = c('A', 'A', 'A', 'A', 'B', 'B', 'B', 'C', 'C', 'C', 'C') ,\n                   points = c(77, 79, 93, 85, 89, 99, 90, 80, 68, 91, 92))\n\n#create histogram with percentages and custom aesthetics\n<\/span>ggplot(data, aes<\/span> (x = factor<\/span> (team))) +  \n  geom_bar( aes<\/span> (y = (..count..)\/ sum<\/span> (..count..)), fill = ' lightblue<\/span> ') +\n  scale_y_continuous(labels=percent) +\n  labs(title = ' Breakdown by Team<\/span> ', x = ' Team<\/span> ', y = ' Percent of Total<\/span> ') +\n  theme_minimal()\n<\/strong><\/pre>\n
\"\"<\/p>\n
 \uad00\ub828 \ud56d\ubaa9:<\/strong><\/span> \ucd5c\uace0\uc758 ggplot2 \ud14c\ub9c8\uc5d0 \ub300\ud55c \uc644\uc804\ud55c \uac00\uc774\ub4dc<\/a><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 R\uc758 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc5d0\uc11c \ube48 \uc218\ub97c \ubcc0\uacbd\ud558\ub294 \ubc29\ubc95<\/a>
 R\uc5d0\uc11c \uc5ec\ub7ec \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95<\/a>
 R\uc5d0\uc11c \uc0c1\ub300 \ube48\ub3c4 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc744 \ub9cc\ub4dc\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec ggplot2\uc5d0\uc11c \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc758 y\ucd95\uc5d0 \ubc31\ubd84\uc728\uc744 \ud45c\uc2dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. library (ggplot2) library (scales) #create histogram with percentages ggplot(data, aes (x = factor (team))) + geom_bar( aes (y = (..count..)\/ sum (..count..))) + scale_y_continuous(labels=percent) \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc774 \uad6c\ubb38\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. \uc608 1: \ubc31\ubd84\uc728\uc774 \ud3ec\ud568\ub41c \uae30\ubcf8 \ud788\uc2a4\ud1a0\uadf8\ub7a8 \ub2e4\uc74c \ucf54\ub4dc\ub294 Y\ucd95\uc5d0 \ubc31\ubd84\uc728\uc774 \ud45c\uc2dc\ub41c \ubc94\uc8fc\ud615 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-2005","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nggplot2\uc758 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc5d0 \ubc31\ubd84\uc728\uc744 \ud45c\uc2dc\ud558\ub294 \ubc29\ubc95 - \ud1b5\uacc4<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 ggplot2\uc758 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc5d0 \ubc31\ubd84\uc728\uc744 \ud45c\uc2dc\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/ko\/ggplot-\u1112\u1175\u1109\u1173\u1110\u1169\u1100\u1173\u1105\u1162\u11b7-\u1107\u1175\u110b\u1172\u11af\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ggplot2\uc758 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc5d0 \ubc31\ubd84\uc728\uc744 \ud45c\uc2dc\ud558\ub294 \ubc29\ubc95 - \ud1b5\uacc4\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 \uba87 \uac00\uc9c0 \uc608\ub97c \ud1b5\ud574 ggplot2\uc758 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc5d0 \ubc31\ubd84\uc728\uc744 \ud45c\uc2dc\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/ggplot-\u1112\u1175\u1109\u1173\u1110\u1169\u1100\u1173\u1105\u1162\u11b7-\u1107\u1175\u110b\u1172\u11af\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T02:59:17+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/pour-cent5.png\" \/>\n<meta name=\"author\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\ubca4\uc790\ubbfc \uc564\ub354\uc2a8\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1\ubd84\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/ko\/ggplot-%e1%84%92%e1%85%b5%e1%84%89%e1%85%b3%e1%84%90%e1%85%a9%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%86%b7-%e1%84%87%e1%85%b5%e1%84%8b%e1%85%b2%e1%86%af\/\",\"url\":\"https:\/\/statorials.org\/ko\/ggplot-%e1%84%92%e1%85%b5%e1%84%89%e1%85%b3%e1%84%90%e1%85%a9%e1%84%80%e1%85%b3%e1%84%85%e1%85%a2%e1%86%b7-%e1%84%87%e1%85%b5%e1%84%8b%e1%85%b2%e1%86%af\/\",\"name\":\"ggplot2\uc758 \ud788\uc2a4\ud1a0\uadf8\ub7a8\uc5d0 \ubc31\ubd84\uc728\uc744 \ud45c\uc2dc\ud558\ub294 \ubc29\ubc95 - 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