{"id":3787,"date":"2023-07-15T13:13:38","date_gmt":"2023-07-15T13:13:38","guid":{"rendered":"https:\/\/statorials.org\/ko\/ggplot2-%e1%84%83%e1%85%a1%e1%84%8c%e1%85%ae%e1%86%bc-%e1%84%85%e1%85%a1%e1%84%8b%e1%85%b5%e1%86%ab\/"},"modified":"2023-07-15T13:13:38","modified_gmt":"2023-07-15T13:13:38","slug":"ggplot2-%e1%84%83%e1%85%a1%e1%84%8c%e1%85%ae%e1%86%bc-%e1%84%85%e1%85%a1%e1%84%8b%e1%85%b5%e1%86%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/ggplot2-%e1%84%83%e1%85%a1%e1%84%8c%e1%85%ae%e1%86%bc-%e1%84%85%e1%85%a1%e1%84%8b%e1%85%b5%e1%86%ab\/","title":{"rendered":"Ggplot2\uc5d0\uc11c \uc5ec\ub7ec \uc904\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec ggplot2\uc5d0\uc11c \uc5ec\ub7ec \uc904\uc744 \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 ggplot(df, aes(x=x_var, y=y_var)) + \n  geom_line(aes(color=group_var)) +\n  scale_color_manual(name=' legend_title<\/span> ', labels=c(' lab1<\/span> ', ' lab2<\/span> ', ' lab3<\/span> '),\n                     values=c(' color1<\/span> ', ' color2<\/span> ', ' color3<\/span> '))\n<\/strong><\/span><\/pre>\n
 \uc774 \ud2b9\uc815 \uad6c\ubb38\uc740 ggplot2\uc5d0 \uc138 \uc904\uc758 \ud50c\ub86f\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \uc774 \uad6c\ubb38\uc740 \ub370\uc774\ud130 \ud504\ub808\uc784\uc774 \uae34 \ud615\uc2dd<\/a> \uc774\ub77c\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \uc608\ub294 \uc2e4\uc81c\ub85c ggplot2\uc5d0\uc11c \uc5ec\ub7ec \uc904\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608: ggplot2\uc5d0 \uc5ec\ub7ec \uc904 \uadf8\ub9ac\uae30<\/strong><\/span><\/h2>\n
 5\uc77c \ub3d9\uc548 3\uac1c\uc758 \uc11c\ub85c \ub2e4\ub978 \ub9e4\uc7a5\uc5d0\uc11c \ubc1c\uc0dd\ud55c \ud310\ub9e4\ub7c9\uc5d0 \ub300\ud55c \uc815\ubcf4\uac00 \ud3ec\ud568\ub41c \ub2e4\uc74c\uacfc \uac19\uc740 \ub370\uc774\ud130 \ud504\ub808\uc784\uc774 R\uc5d0 \uc788\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 #create data frame\ndf <- data. frame<\/span> (day=c(1, 2, 3, 4, 5),\n                 storeA=c(5, 6, 8, 8, 9),\n                 storeB=c(3, 3, 4, 5, 7),\n                 storeC=c(8, 10, 12, 12, 17))\n\n#view data frame\n<\/span>df\n\n  day storeA storeB storeC\n1 1 5 3 8\n2 2 6 3 10\n3 3 8 4 12\n4 4 8 5 12\n5 5 9 7 17\n<\/span><\/span><\/strong><\/span><\/pre>\n
 \uc774 \ub370\uc774\ud130 \ud504\ub808\uc784\uc740 \ud604\uc7ac \uc640\uc774\ub4dc \ud615\uc2dd\uc785\ub2c8\ub2e4.<\/span><\/p>\n
 \uadf8\ub7ec\ub098 Tidyr<\/strong> \ud328\ud0a4\uc9c0\uc758 ivot_longer()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\ub97c \uae34 \ud615\uc2dd\uc73c\ub85c \ube60\ub974\uac8c \ubcc0\ud658\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 library<\/span> (tidyr)\n\n#convert data from wide to long format\n<\/span>df <- df %>% pivot_longer(cols=c(' storeA<\/span> ', ' storeB<\/span> ', ' storeC<\/span> '),\n                          names_to=' store<\/span> ',\n                          values_to=' sales<\/span> ')\n\n#view updated data frame\n<\/span>df\n\n# A tibble: 15 x 3\n     day store sales\n      \n 1 1 blindA 5\n 2 1 storeB 3\n 3 1 blindC 8\n 4 2 blindA 6\n 5 2 storeB 3\n 6 2 storeC 10\n 7 3 storeA 8\n 8 3 storeB 4\n 9 3 storeC 12\n10 4 storeA 8\n11 4 storeB 5\n12 4 storeC 12\n13 5 storeA 9\n14 5 storeB 7\n15 5 storeC 17<\/strong><\/span><\/pre>\n
 \uc774\uc81c \ub370\uc774\ud130 \ud504\ub808\uc784\uc774 \uae34 \ud615\uc2dd\uc774\ubbc0\ub85c ggplot2\uc640 \ud568\uaed8 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec \uac01 \ub9e4\uc7a5\uc758 \ub9e4\ucd9c\uc744 \ud45c\uc2dc\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\n#plot sales by store\nggplot(df, aes(x=day, y=sales)) + \n  geom_line(aes(color=store)) +\n  scale_color_manual(name=' Store<\/span> ', labels=c(' A<\/span> ', ' B<\/span> ', ' C<\/span> '),<\/span>\nvalues=c(' red<\/span> ', ' purple<\/span> ', ' steelblue<\/span> '))\n<\/span><\/span><\/strong><\/span><\/pre>\n
\"\"<\/p>\n
 \uac1c\ubcc4 \ud589\uc5d0\ub294 \ub9e4\uc77c \uac01 \ub9e4\uc7a5\uc758 \ub9e4\ucd9c\uc774 \ud45c\uc2dc\ub429\ub2c8\ub2e4.<\/span><\/p>\n
 \uc120\uc744 \ub354 \uc27d\uac8c \ud574\uc11d\ud560 \uc218 \uc788\ub3c4\ub85d scale_color_manual()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud50c\ub86f \uc624\ub978\ucabd\uc5d0 \uc0ac\uc6a9\uc790 \uc815\uc758 \ubc94\ub840\ub97c \ub9cc\ub4e4\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \uc6d0\ud558\ub294 \ubc29\uc2dd\uc73c\ub85c \uc815\ud655\ud788 \ub098\ud0c0\ub098\ub294 \ubc94\ub840\ub97c \ub9cc\ub4e4\ub824\uba74 \uc774 \ud568\uc218\uc5d0 \ub300\ud55c \uc778\uc218\ub97c \uc790\uc720\ub86d\uac8c \uc218\uc815\ud558\uc138\uc694.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 ggplot2\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 ggplot2\uc5d0\uc11c \ud3c9\uade0\uacfc \ud45c\uc900\ud3b8\ucc28\ub97c \uadf8\ub9ac\ub294 \ubc29\ubc95<\/a>
ggplot2\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud50c\ub86f\uc5d0 \uc218\ud3c9\uc120\uc744 \ucd94\uac00\ud558\ub294 \ubc29\ubc95<\/a>
 ggplot2\uc5d0\uc11c \ucd94\uc138\uc120\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uc5ec ggplot2\uc5d0\uc11c \uc5ec\ub7ec \uc904\uc744 \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. ggplot(df, aes(x=x_var, y=y_var)) + geom_line(aes(color=group_var)) + scale_color_manual(name=’ legend_title ‘, labels=c(‘ lab1 ‘, ‘ lab2 ‘, ‘ lab3 ‘), values=c(‘ color1 ‘, ‘ color2 ‘, ‘ color3 ‘)) \uc774 \ud2b9\uc815 \uad6c\ubb38\uc740 ggplot2\uc5d0 \uc138 \uc904\uc758 \ud50c\ub86f\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4. \uc774 \uad6c\ubb38\uc740 \ub370\uc774\ud130 \ud504\ub808\uc784\uc774 \uae34 \ud615\uc2dd \uc774\ub77c\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. \ub2e4\uc74c \uc608\ub294 […]<\/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-3787","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\nggplot2\uc5d0\uc11c \uc5ec\ub7ec \uc904\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 ggplot2\uc5d0\uc11c \uc5ec\ub7ec \uc904\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \uc608\uc640 \ud568\uaed8 \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\/ggplot2-\u1103\u1161\u110c\u116e\u11bc-\u1105\u1161\u110b\u1175\u11ab\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ggplot2\uc5d0\uc11c \uc5ec\ub7ec \uc904\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 ggplot2\uc5d0\uc11c \uc5ec\ub7ec \uc904\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95\uc744 \uc608\uc640 \ud568\uaed8 \uc124\uba85\ud569\ub2c8\ub2e4.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/ko\/ggplot2-\u1103\u1161\u110c\u116e\u11bc-\u1105\u1161\u110b\u1175\u11ab\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-15T13:13:38+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/multiligne1.jpg\" \/>\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\/ggplot2-%e1%84%83%e1%85%a1%e1%84%8c%e1%85%ae%e1%86%bc-%e1%84%85%e1%85%a1%e1%84%8b%e1%85%b5%e1%86%ab\/\",\"url\":\"https:\/\/statorials.org\/ko\/ggplot2-%e1%84%83%e1%85%a1%e1%84%8c%e1%85%ae%e1%86%bc-%e1%84%85%e1%85%a1%e1%84%8b%e1%85%b5%e1%86%ab\/\",\"name\":\"ggplot2\uc5d0\uc11c \uc5ec\ub7ec \uc904\uc744 \uadf8\ub9ac\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) - 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