<\/p>\n
R taban\u0131nda sol birle\u015ftirme ger\u00e7ekle\u015ftirmek i\u00e7in merge()<\/strong> i\u015flevini kullanabilirsiniz:<\/span><\/p>\n Sol birle\u015ftirme ger\u00e7ekle\u015ftirmek i\u00e7in dplyr<\/a> paketindeki left_join()<\/strong> i\u015flevini de kullanabilirsiniz:<\/span><\/p>\n Not:<\/strong> \u00c7ok b\u00fcy\u00fck veri k\u00fcmeleriyle \u00e7al\u0131\u015f\u0131yorsan\u0131z left_join()<\/strong> i\u015flevi, merge()<\/strong> i\u015flevinden daha h\u0131zl\u0131 olma e\u011filimindedir.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, bu i\u015flevlerin her birinin pratikte a\u015fa\u011f\u0131daki veri \u00e7er\u00e7eveleriyle nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Birle\u015ftirilecek s\u00fctun olarak ‘ekip’ s\u00fctununu kullanarak sol birle\u015ftirme ger\u00e7ekle\u015ftirmek i\u00e7in R taban\u0131nda merge()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n Birle\u015ftirilecek s\u00fctun olarak ‘team’ s\u00fctununu kullanarak sol birle\u015ftirme ger\u00e7ekle\u015ftirmek i\u00e7in dplyr paketindeki left_join()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n Bu iki i\u015flev aras\u0131nda fark edece\u011finiz bir fark, merge()<\/strong> i\u015flevinin, birle\u015ftirmeyi ger\u00e7ekle\u015ftirmek i\u00e7in kulland\u0131\u011f\u0131n\u0131z s\u00fctuna g\u00f6re sat\u0131rlar\u0131 otomatik olarak alfabetik olarak s\u0131ralamas\u0131d\u0131r.<\/span><\/p>\n Tersine, left_join()<\/strong> i\u015flevi, ilk veri \u00e7er\u00e7evesindeki sat\u0131rlar\u0131n orijinal s\u0131ras\u0131n\u0131 korur.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’de i\u00e7 birle\u015ftirme nas\u0131l yap\u0131l\u0131r<\/a> R taban\u0131nda sol birle\u015ftirme ger\u00e7ekle\u015ftirmek i\u00e7in merge() i\u015flevini kullanabilirsiniz: #left join using base R merge(df1,df2, all. x = TRUE ) Sol birle\u015ftirme ger\u00e7ekle\u015ftirmek i\u00e7in dplyr paketindeki left_join() i\u015flevini de kullanabilirsiniz: #left join using dplyr dplyr::left_join(df2, df1) Not: \u00c7ok b\u00fcy\u00fck veri k\u00fcmeleriyle \u00e7al\u0131\u015f\u0131yorsan\u0131z left_join() i\u015flevi, merge() i\u015flevinden daha h\u0131zl\u0131 olma e\u011filimindedir. A\u015fa\u011f\u0131daki \u00f6rnekler, bu i\u015flevlerin her […]<\/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-1888","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n #left join using base R<\/span>\nmerge(df1,df2, all. x<\/span> = TRUE<\/span> )\n<\/strong><\/pre>\n #left join using dplyr\n<\/span>dplyr::left_join(df2, df1)<\/strong><\/pre>\n #define first data frame\n<\/span>df1 <- data. frame<\/span> (team=c(' Mavs<\/span> ', ' Hawks<\/span> ', ' Spurs<\/span> ', ' Nets<\/span> '),\n dots=c(99, 93, 96, 104))\n\ndf1\n\n team points\n1 Mavs 99\n2 Hawks 93\n3 Spurs 96\n4 Nets 104\n\n#define second data frame\n<\/span>df2 <- data. frame<\/span> (team=c(' Mavs<\/span> ', ' Hawks<\/span> ', ' Spurs<\/span> ', ' Nets<\/span> '),\n rebounds=c(25, 32, 38, 30),\n assists=c(19, 18, 22, 25))\n\ndf2\n\n team rebound assists\n1 Mavs 25 19\n2 Hawks 32 18\n3 Spurs 38 22\n4 Nets 30 25<\/strong><\/pre>\n \u00d6rnek 1: Base R’yi kullanarak sol birle\u015ftirme<\/strong><\/span><\/h2>\n
#perform left join using base R<\/span>\nmerge(df1, df2, by=' team<\/span> ', all. x<\/span> = TRUE<\/span> )\n\n team points rebound assists\n1 Hawks 93 32 18\n2 Mavs 99 25 19\n3 Nets 104 30 25\n4 Spurs 96 38 22\n<\/strong><\/pre>\n \u00d6rnek 2: dplyr kullanarak sol birle\u015ftirme<\/strong><\/span><\/h2>\n
library<\/span> (dplyr)\n\n#perform left join using dplyr<\/span> \nleft_join(df1, df2, by=' team<\/span> ')\n\n team points rebound assists\n1 Mavs 99 25 19\n2 Hawks 93 32 18\n3 Spurs 96 38 22\n4 Nets 104 30 25<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
R’de bulan\u0131k e\u015fle\u015ftirme nas\u0131l ger\u00e7ekle\u015ftirilir?<\/a>
R’de veri \u00e7er\u00e7evesine s\u00fctun nas\u0131l eklenir<\/a>
R’deki veri \u00e7er\u00e7evesinden s\u00fctunlar nas\u0131l kald\u0131r\u0131l\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"