{"id":2136,"date":"2023-07-23T13:19:09","date_gmt":"2023-07-23T13:19:09","guid":{"rendered":"https:\/\/statorials.org\/tr\/rdeki-yinelenen-satirlari-kaldir\/"},"modified":"2023-07-23T13:19:09","modified_gmt":"2023-07-23T13:19:09","slug":"rdeki-yinelenen-satirlari-kaldir","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/rdeki-yinelenen-satirlari-kaldir\/","title":{"rendered":"R'de yinelenen sat\u0131rlar\u0131 kald\u0131rma (\u00f6rneklerle)"},"content":{"rendered":"

<\/p>\n

\n

R’deki bir veri \u00e7er\u00e7evesinden yinelenen sat\u0131rlar\u0131 kald\u0131rmak i\u00e7in iki y\u00f6ntemden birini kullanabilirsiniz:<\/span><\/p>\n

Y\u00f6ntem 1: Base R’yi kullan\u0131n<\/strong><\/span><\/p>\n

 #remove duplicate rows across entire data frame<\/span>\ndf[ !<\/span> duplicated(df), ]\n\n#remove duplicate rows across specific columns of data frame<\/span>\ndf[ !<\/span> duplicated(df[c(' var1<\/span> ')]), ]\n<\/strong><\/pre>\n
 Y\u00f6ntem 2: dplyr’\u0131 kullan\u0131n<\/strong><\/span><\/p>\n
 #remove duplicate rows across entire data frame<\/span> \ndf %>%\n  distinct(.keep_all = TRUE<\/span> )\n\n#remove duplicate rows across specific columns of data frame<\/span>\ndf %>%\n  distinct(var1, .keep_all = TRUE<\/span> )\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki \u00f6rnekler, bu s\u00f6zdiziminin pratikte a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesiyle nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n
 #define data frame\n<\/span>df <- data. frame<\/span> (team=c('A', 'A', 'A', 'B', 'B', 'B'),\n                 position=c('Guard', 'Guard', 'Forward', 'Guard', 'Center', 'Center'))\n\n#view data frame\n<\/span>df\n\n  team position\n1A Guard\n2 A Guard\n3 A Forward\n4 B Guard\n5B Center\n6B Center\n<\/strong><\/pre>\n
 \u00d6rnek 1: Base R’yi kullanarak yinelenen sat\u0131rlar\u0131 kald\u0131r\u0131n<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki kod, R taban i\u015flevlerini kullanarak yinelenen sat\u0131rlar\u0131n bir veri \u00e7er\u00e7evesinden nas\u0131l kald\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n
 #remove duplicate rows from data frame\ndf[ !<\/span> duplicated(df), ]\n\n  team position\n1A Guard\n3 A Forward\n4 B Guard\n5B Center<\/span><\/span>\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki kod, R taban\u0131n\u0131 kullanarak bir veri \u00e7er\u00e7evesindeki belirli s\u00fctunlardan yinelenen sat\u0131rlar\u0131n nas\u0131l kald\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n
 #remove rows where there are duplicates in the 'team' column\ndf[ !<\/span> duplicated(df[c(' team<\/span> ')]), ]\n<\/span><\/span>\n  team position\n1A Guard\n4 B Guard\n<\/strong><\/pre>\n
 \u00d6rnek 2: Dplyr kullanarak yinelenen sat\u0131rlar\u0131 kald\u0131r\u0131n<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki kod, dplyr<\/a> paketindeki Different()<\/strong> i\u015flevini kullanarak yinelenen sat\u0131rlar\u0131n bir veri \u00e7er\u00e7evesinden nas\u0131l kald\u0131r\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#remove duplicate rows from data frame<\/span>\ndf %>%\n  distinct(.keep_all = TRUE<\/span> )\n\n  team position\n1A Guard\n2 A Forward\n3 B Guard\n4B Center<\/strong><\/pre>\n
 .keep_all<\/strong> arg\u00fcman\u0131n\u0131n R’ye t\u00fcm s\u00fctunlar\u0131 orijinal veri \u00e7er\u00e7evesinde tutmas\u0131n\u0131 s\u00f6yledi\u011fini unutmay\u0131n.<\/span><\/p>\n
 A\u015fa\u011f\u0131daki kod, bir veri \u00e7er\u00e7evesindeki belirli s\u00fctunlardan yinelenen sat\u0131rlar\u0131 kald\u0131rmak i\u00e7in Different()<\/strong> i\u015flevinin nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#remove duplicate rows from data frame<\/span>\ndf %>%\n  distinct(team, .keep_all = TRUE<\/span> )\n\n  team position\n1A Guard\n2 B Guard\n<\/strong><\/pre>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer ortak i\u015flevlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n
 Ko\u015fula ba\u011fl\u0131 olarak R’deki sat\u0131rlar nas\u0131l silinir<\/a>
 R’de belirli bir s\u00fctunda NA bulunan sat\u0131rlar nas\u0131l silinir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
R’deki bir veri \u00e7er\u00e7evesinden yinelenen sat\u0131rlar\u0131 kald\u0131rmak i\u00e7in iki y\u00f6ntemden birini kullanabilirsiniz: Y\u00f6ntem 1: Base R’yi kullan\u0131n #remove duplicate rows across entire data frame df[ ! duplicated(df), ] #remove duplicate rows across specific columns of data frame df[ ! duplicated(df[c(‘ var1 ‘)]), ] Y\u00f6ntem 2: dplyr’\u0131 kullan\u0131n #remove duplicate rows across entire data frame df […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-2136","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nR'de Yinelenen Sat\u0131rlar\u0131n Kald\u0131r\u0131lmas\u0131 (\u00d6rneklerle) \u2013 Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde, R'deki bir veri \u00e7er\u00e7evesinden yinelenen 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