{"id":2117,"date":"2023-07-23T14:55:03","date_gmt":"2023-07-23T14:55:03","guid":{"rendered":"https:\/\/statorials.org\/ko\/dplyr-%e1%84%89%e1%85%a1%e1%86%a8%e1%84%8c%e1%85%a6-%e1%84%85%e1%85%a1%e1%84%8b%e1%85%b5%e1%86%ab\/"},"modified":"2023-07-23T14:55:03","modified_gmt":"2023-07-23T14:55:03","slug":"dplyr-%e1%84%89%e1%85%a1%e1%86%a8%e1%84%8c%e1%85%a6-%e1%84%85%e1%85%a1%e1%84%8b%e1%85%b5%e1%86%ab","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/dplyr-%e1%84%89%e1%85%a1%e1%86%a8%e1%84%8c%e1%85%a6-%e1%84%85%e1%85%a1%e1%84%8b%e1%85%b5%e1%86%ab\/","title":{"rendered":"Dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568)"},"content":{"rendered":"

<\/p>\n

\n

dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec R\uc758 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c \ud589\uc744 \uc81c\uac70\ud558\ub824\uba74 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

1. NA\uac00 \uc788\ub294 \ud589\uc744 \uc0ad\uc81c\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n

 df %>%\n  n \/ A. omit<\/span> ()<\/strong><\/span><\/pre>\n
 2. \ud2b9\uc815 \uc5f4\uc5d0\uc11c NA\uac00 \uc788\ub294 \ud589\uc744 \uc0ad\uc81c\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n
 df %>%<\/span><\/strong>\nfilter( !<\/span> is. na<\/span> (column_name))<\/span><\/strong><\/pre>\n
 3. \uc911\ubcf5 \uc81c\uac70<\/strong><\/span><\/p>\n
 df %>%\n  distinct()\n<\/strong><\/span><\/pre>\n
 4. \uc778\ub371\uc2a4 \uc704\uce58\ubcc4\ub85c \ud589 \uc0ad\uc81c<\/strong><\/span><\/p>\n
 df %>%<\/strong><\/span>\nfilter( !<\/span> row_number() %in%<\/span> c(1, 2, 4))<\/strong><\/span><\/pre>\n
 5. \uc870\uac74\uc5d0 \ub530\ub77c \ud589 \uc0ad\uc81c<\/strong><\/span><\/p>\n
 df %>%\n  filter(column1 ==<\/span> ' A<\/span> ' | column2 ><\/span> 8)<\/strong><\/span><\/pre>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \ub2e4\uc74c \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c \uc774\ub7ec\ud55c \uac01 \ubc29\ubc95\uc744 \uc2e4\uc81c\ub85c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 library<\/span> (dplyr)<\/span>\n\n#create data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'B', 'B', 'C', 'C'),\n                 points=c(4, NA, 7, 5, 9, 9),\n                 assists=c(1, 3, 5, NA, 2, 2))\n\n#view data frame\n<\/span>df\n\n  team points assists\n1 to 4 1\n2 A NA 3\n3 B 7 5\n4 B 5 NA\n5 C 9 2\n6 C 9 2\n<\/strong><\/span><\/pre>\n
 \uc608\uc2dc 1: NA\uac00 \uc788\ub294 \ud589 \uc0ad\uc81c<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c NA \uac12\uc744 \ud3ec\ud568\ud558\ub294 \ud589\uc744 \uc81c\uac70\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #remove any row with NA<\/span>\ndf %>%\n  n \/ A. omit<\/span> ()\n\n  team points assists\n1 to 4 1\n3 B 7 5\n5 C 9 2\n6 C 9 2<\/strong><\/pre>\n
 \uc608 2: \ud2b9\uc815 \uc5f4\uc5d0\uc11c NA\uac00 \uc788\ub294 \ud589 \uc0ad\uc81c<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ud2b9\uc815 \uc5f4\uc5d0\uc11c NA \uac12\uc774 \ud3ec\ud568\ub41c \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #remove any row with NA in 'points' column:<\/span>\ndf %>%\n  filter( !<\/span> is. na<\/span> (dots))\n\n  team points assists\n1 to 4 1\n2 B 7 5\n3 B 5 NA\n4 C 9 2\n5 C 9 2<\/strong><\/pre>\n
 \uc608\uc2dc 3: \uc911\ubcf5 \ud589 \uc81c\uac70<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc911\ubcf5 \ud589\uc744 \uc81c\uac70\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #remove duplicate rows<\/span>\ndf %>%\n  distinct()\n\n  team points assists\n1 to 4 1\n2 A NA 3\n3 B 7 5\n4 B 5 NA\n5 C 9 2<\/strong><\/pre>\n
 \uc608\uc2dc 4: \uc778\ub371\uc2a4 \uc704\uce58\ubcc4\ub85c \ud589 \uc0ad\uc81c<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \uc778\ub371\uc2a4 \uc704\uce58\uc5d0 \ub530\ub77c \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #remove rows 1, 2, and 4<\/span>\ndf %>%\n<\/span>filter( !<\/span> row_number() %in%<\/span> c(1, 2, 4))<\/span>\n\n  team points assists\n1 B 7 5\n2 C 9 2\n3 C 9 2<\/strong><\/pre>\n
 \uc608\uc2dc 5: \uc870\uac74\uc5d0 \ub530\ub77c \ud589 \uc0ad\uc81c<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ucf54\ub4dc\ub294 \ud2b9\uc815 \uc870\uac74\uc5d0 \ub530\ub77c \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 #only keep rows where team is equal to 'A' or points is greater than 8<\/span>\ndf %>%\n  filter(column1 ==<\/span> ' A<\/span> ' | column2 ><\/span> 8)<\/span>\n\n  team points assists\n1 to 4 1\n2 A NA 3\n3 C 9 2\n4 C 9 2<\/strong><\/pre>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h3>\n
 \ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 dplyr\uc5d0\uc11c \ub2e4\ub978 \uc77c\ubc18\uc801\uc778 \uae30\ub2a5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \uc124\uba85\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc778\ub371\uc2a4\ub85c \uc5f4\uc744 \uc120\ud0dd\ud558\ub294 \ubc29\ubc95<\/a>
 dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec \uadf8\ub8f9\ubcc4\ub85c \ubcc0\uc218\ub97c \uc815\ub82c\ud558\ub294 \ubc29\ubc95<\/a>
 dplyr\uc5d0\uc11c NA\ub97c 0\uc73c\ub85c \ubc14\uafb8\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec R\uc758 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c \ud589\uc744 \uc81c\uac70\ud558\ub824\uba74 \ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. 1. NA\uac00 \uc788\ub294 \ud589\uc744 \uc0ad\uc81c\ud569\ub2c8\ub2e4. df %>% n \/ A. omit () 2. \ud2b9\uc815 \uc5f4\uc5d0\uc11c NA\uac00 \uc788\ub294 \ud589\uc744 \uc0ad\uc81c\ud569\ub2c8\ub2e4. df %>% filter( ! is. na (column_name)) 3. \uc911\ubcf5 \uc81c\uac70 df %>% distinct() 4. \uc778\ub371\uc2a4 \uc704\uce58\ubcc4\ub85c \ud589 \uc0ad\uc81c df %>% filter( ! row_number() […]<\/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-2117","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\ndplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec R\uc758 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95\uc744 \uba87 \uac00\uc9c0 \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\/dplyr-\u1109\u1161\u11a8\u110c\u1166-\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=\"dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95(\uc608\uc81c \ud3ec\ud568) \u2013 Statorials\" \/>\n<meta property=\"og:description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec R\uc758 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c \ud589\uc744 \uc0ad\uc81c\ud558\ub294 \ubc29\ubc95\uc744 \uba87 \uac00\uc9c0 \uc608\uc640 \ud568\uaed8 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