{"id":4182,"date":"2023-07-13T00:49:45","date_gmt":"2023-07-13T00:49:45","guid":{"rendered":"https:\/\/statorials.org\/ko\/dplyr-%e1%84%91%e1%85%b5%e1%86%af%e1%84%90%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-na%e1%84%85%e1%85%b3%e1%86%af-%e1%84%8b%e1%85%b2%e1%84%8c%e1%85%b5%e1%84%92%e1%85%a1%e1%86%b8%e1%84%82%e1%85%b5%e1%84%83\/"},"modified":"2023-07-13T00:49:45","modified_gmt":"2023-07-13T00:49:45","slug":"dplyr-%e1%84%91%e1%85%b5%e1%86%af%e1%84%90%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-na%e1%84%85%e1%85%b3%e1%86%af-%e1%84%8b%e1%85%b2%e1%84%8c%e1%85%b5%e1%84%92%e1%85%a1%e1%86%b8%e1%84%82%e1%85%b5%e1%84%83","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/dplyr-%e1%84%91%e1%85%b5%e1%86%af%e1%84%90%e1%85%a5%e1%84%82%e1%85%b3%e1%86%ab-na%e1%84%85%e1%85%b3%e1%86%af-%e1%84%8b%e1%85%b2%e1%84%8c%e1%85%b5%e1%84%92%e1%85%a1%e1%86%b8%e1%84%82%e1%85%b5%e1%84%83\/","title":{"rendered":"Dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec na \ub77c\uc778\uc744 \uc783\uc9c0 \uc54a\uace0 \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95"},"content":{"rendered":"

<\/p>\n

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\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uba74 R\uc758 dplyr<\/strong> \ubc0f Tidyr<\/strong> \ud328\ud0a4\uc9c0\uc5d0 \uc788\ub294 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec NA \uac12\uc774 \ud3ec\ud568\ub41c \ud589\uc744 \uc783\uc9c0 \uc54a\uace0 \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ud544\ud130\ub9c1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n

 library<\/span> (dplyr)\nlibrary<\/span> (tidyr)\n\n<\/strong>#filter for rows where team is not equal to 'A' (and keep rows with NA)<\/strong><\/span>\ndf <- df %>% filter((team !=<\/span> ' A<\/span> ') %>% replace_na( TRUE<\/span> ))<\/strong><\/pre>\n
 \uc774 \uc218\uc2dd\uc740 \ud544\ud130\ub9c1 \uc911\uc5d0 \ub370\uc774\ud130 \ud504\ub808\uc784\uc5d0\uc11c \uc81c\uac70\ub418\uc9c0 \uc54a\ub3c4\ub85d NA \uac12\uc744 TRUE\ub85c \ubcc0\ud658\ud558\uae30 \uc704\ud574 Tidyr<\/strong> \ud328\ud0a4\uc9c0\uc758 replacement_na()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n
 \ub2e4\uc74c \uc608\uc5d0\uc11c\ub294 \uc2e4\uc81c\ub85c \uc774 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n
 \uc608: dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec NA \ud589\uc744 \uc783\uc9c0 \uc54a\uace0 \ub370\uc774\ud130 \ud504\ub808\uc784 \ud544\ud130\ub9c1<\/strong><\/span><\/h2>\n
 \ub2e4\uc591\ud55c \ub18d\uad6c \uc120\uc218\uc5d0 \ub300\ud55c \uc815\ubcf4\ub97c \ud3ec\ud568\ud558\ub294 \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\n<\/span>df <- data. frame<\/span> (team=c('A', NA, 'A', 'B', NA, 'C', 'C', 'C'),\n                 points=c(18, 13, 19, 14, 24, 21, 20, 28),\n                 assists=c(5, 7, 17, 9, 12, 9, 5, 12))\n\n#view data frame\n<\/span>df\n\n  team points assists\n1 to 18 5\n2 <NA> 13 7\n3 A 19 17\n4 B 14 9\n5 <NA> 24 12\n6 C 21 9\n7 C 20 5\n8 C 28 12\n<\/strong><\/pre>\n
 \uc774\uc81c dplyr<\/strong> \ud328\ud0a4\uc9c0\uc758 filter()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud300<\/strong> \uc5f4\uc758 \uac12\uc774 A\uc640 \uac19\uc9c0 \uc54a\uc740 \ud589\ub9cc \ud3ec\ud568\ud558\ub3c4\ub85d \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ud544\ud130\ub9c1\ud55c\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/span><\/span><\/p>\n
 library<\/span> (dplyr)<\/span>\n\n#filter for rows where team is not equal to 'A'<\/span>\ndf <- df %>% filter(team !=<\/span> ' A<\/span> ')\n\n#view updated data frame<\/span>\ndf\n\n  team points assists\n1 B 14 9\n2 C 21 9\n3 C 20 5\n4 C 28 12\n<\/strong><\/pre>\n
 \ud300<\/strong> \uc5f4\uc758 \uac12\uc774 NA\uc778 \ud589\uc744 \ud3ec\ud568\ud558\uc5ec \ud300<\/strong> \uc5f4\uc758 \uac12\uc774 A\uc778 \ubaa8\ub4e0 \ud589\uc774 \ud544\ud130\ub9c1\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ud300\uc774<\/strong> A\uc778 \ud589\uc744 \ud544\ud130\ub9c1\ud558\uace0 NA \uac12\uc774 \uc788\ub294 \ud589\uc744 \uc720\uc9c0\ud558\ub824\uba74<\/em> \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 library<\/span> (dplyr)\nlibrary<\/span> (tidyr)\n\n<\/strong>#filter for rows where team is not equal to 'A' (and keep rows with NA)<\/strong><\/span>\ndf <- df %>% filter((team !=<\/span> ' A<\/span> ') %>% replace_na( TRUE<\/span> ))\n\n#view updated data frame<\/span>\ndf\n\n  team points assists\n1 <NA> 13 7\n2 B 14 9\n3 <NA> 24 12\n4 C 21 9\n5 C 20 5\n6 C 28 12\n<\/strong><\/pre>\n
 \ud300<\/strong> \uc5f4\uc758 \uac12\uc774 A\uc778 \ubaa8\ub4e0 \ud589\uc740 \ud544\ud130\ub9c1\ub418\uc5c8\uc9c0\ub9cc \ud300<\/strong> \uc5f4\uc758 \uac12\uc774 NA\uc778 \ud589\uc740 \uc720\uc9c0\ud588\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ucc38\uace0<\/strong> : \uc5ec\uae30\uc5d0\uc11c<\/a> Tidyr replacement_na()<\/strong> \ud568\uc218\uc5d0 \ub300\ud55c \uc804\uccb4 \ubb38\uc11c\ub97c \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n
 \ucd94\uac00 \ub9ac\uc18c\uc2a4<\/strong><\/span><\/h2>\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 \ud589 \ubc88\ud638\ub85c \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95<\/a>
 dplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc5ec\ub7ec \uc870\uac74\uc73c\ub85c \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95
 dplyr\uc5d0\uc11c “\ud3ec\ud568\ub418\uc9c0 \uc54a\uc74c” \ud544\ud130\ub97c \uc0ac\uc6a9\ud558\ub294 \ubc29\ubc95<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\ub2e4\uc74c \uae30\ubcf8 \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\uba74 R\uc758 dplyr \ubc0f Tidyr \ud328\ud0a4\uc9c0\uc5d0 \uc788\ub294 \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec NA \uac12\uc774 \ud3ec\ud568\ub41c \ud589\uc744 \uc783\uc9c0 \uc54a\uace0 \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ud544\ud130\ub9c1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. library (dplyr) library (tidyr) #filter for rows where team is not equal to ‘A’ (and keep rows with NA) df <- df %>% filter((team != ‘ A ‘) %>% replace_na( TRUE )) […]<\/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-4182","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"\ndplyr\uc744 \uc0ac\uc6a9\ud558\uc5ec NA \ud589\uc744 \uc783\uc9c0 \uc54a\uace0 \ub370\uc774\ud130 \ud504\ub808\uc784\uc744 \ud544\ud130\ub9c1\ud558\ub294 \ubc29\ubc95 - 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