{"id":4509,"date":"2023-07-10T13:16:04","date_gmt":"2023-07-10T13:16:04","guid":{"rendered":"https:\/\/statorials.org\/tr\/dplyr-sol-secili-sutunlara-katil\/"},"modified":"2023-07-10T13:16:04","modified_gmt":"2023-07-10T13:16:04","slug":"dplyr-sol-secili-sutunlara-katil","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/dplyr-sol-secili-sutunlara-katil\/","title":{"rendered":"Dplyr'de se\u00e7ilen s\u00fctunlar\u0131 kullanarak sol birle\u015ftirme nas\u0131l ger\u00e7ekle\u015ftirilir?"},"content":{"rendered":"

<\/p>\n

\n

Yaln\u0131zca se\u00e7ilen s\u00fctunlar\u0131 kullanarak iki veri \u00e7er\u00e7evesinde sol birle\u015ftirme ger\u00e7ekle\u015ftirmek i\u00e7in dplyr’de a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n

 library<\/span> (dplyr)\n\n<\/span>final_df <- df_A %>% \n  left_join(select(df_B, team, conference), by=\" team<\/span> \")<\/strong><\/pre>\n
 Bu \u00f6zel \u00f6rnek, df_A<\/strong> ve df_B<\/strong> ad\u0131 verilen veri \u00e7er\u00e7evelerinde, ekip<\/strong> ad\u0131 verilen s\u00fctuna kat\u0131larak sol birle\u015ftirme ger\u00e7ekle\u015ftirecektir, ancak sonu\u00e7ta ortaya \u00e7\u0131kan veri \u00e7er\u00e7evesine yaln\u0131zca df_B’nin<\/strong> ekip<\/strong> ve konferans<\/strong> s\u00fctunlar\u0131 dahil edilecektir.<\/span><\/p>\n
 A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n
 \u00d6rnek: dplyr’de se\u00e7ili s\u00fctunlar\u0131 kullanarak sol birle\u015ftirme ger\u00e7ekle\u015ftirme<\/strong><\/span><\/h2>\n
 R’de a\u015fa\u011f\u0131daki iki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n
 #create first data frame\n<\/span>df_A <- data. frame<\/span> (team=c('A', 'B', 'C', 'D', 'E'),\n                   dots=c(22, 25, 19, 14, 38))\n\ndf_A\n\n  team points\n1 to 22\n2 B 25\n3 C 19\n4 D 14\n5 E 38\n\n#create second data frame\n<\/span>df_B <- data. frame<\/span> (team=c('A', 'C', 'D', 'F', 'G'),\n                   conference=c('W', 'W', 'E', 'E', 'E'),\n                   rebounds=c(14, 8, 8, 6, 9),\n                   assists=c(4, 3, 9, 9, 4))\n\ndf_B\n\n  team conference rebounds assists\n1 AW 14 4\n2 CW 8 3\n3 OF 8 9\n4 FE 6 9\n5 GE 9 4\n<\/strong><\/pre>\n
 Sol birle\u015ftirme ger\u00e7ekle\u015ftirmek i\u00e7in dplyr’de a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz ancak yaln\u0131zca df_B’den<\/strong> ekip<\/strong> ve konferans<\/strong> s\u00fctunlar\u0131n\u0131 getirebiliriz:<\/span><\/p>\n
 library<\/span> (dplyr)\n\n#perform left join but only bring in team and conference columns from df_B\n<\/span>final_df <- df_A %>% \n  left_join(select(df_B, team, conference), by=\" team<\/span> \")\n\n#view final data frame\n<\/span>final_df\n\n  team points conference\n1A 22W\n2 B 25 NA\n3C 19W\n4 D 14 E\n5 E 38 NA\n<\/strong><\/pre>\n
 Ortaya \u00e7\u0131kan veri \u00e7er\u00e7evesi, df_A’daki<\/strong> t\u00fcm sat\u0131rlar\u0131 ve yaln\u0131zca tak\u0131m<\/strong> de\u011ferlerinin e\u015fle\u015fti\u011fi df_B’deki<\/strong> sat\u0131rlar\u0131 i\u00e7erir.<\/span><\/p>\n
 dplyr’\u0131n select()<\/strong> i\u015flevini kullanarak, yaln\u0131zca ekip<\/strong> ve konferans<\/strong> s\u00fctunlar\u0131n\u0131 df_B’den<\/strong> i\u00e7e aktarmak istedi\u011fimizi belirtebildik.<\/span><\/p>\n
 df_B’den<\/strong> gelen s\u0131\u00e7rama<\/strong> ve destek<\/strong> s\u00fctunlar\u0131n\u0131n son veri \u00e7er\u00e7evesine dahil edilmedi\u011fini unutmay\u0131n.<\/span><\/p>\n
 Not<\/strong> : left_join()<\/strong> i\u015flevinin tam belgelerini dplyr’de burada<\/a> bulabilirsiniz.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h2>\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 sola birle\u015ftirme nas\u0131l yap\u0131l\u0131r<\/a>
 R’de do\u011fru birle\u015ftirme nas\u0131l yap\u0131l\u0131r<\/a>
 R’de i\u00e7 birle\u015ftirme nas\u0131l yap\u0131l\u0131r<\/a>
 R’de d\u0131\u015f birle\u015ftirme nas\u0131l yap\u0131l\u0131r<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"
Yaln\u0131zca se\u00e7ilen s\u00fctunlar\u0131 kullanarak iki veri \u00e7er\u00e7evesinde sol birle\u015ftirme ger\u00e7ekle\u015ftirmek i\u00e7in dplyr’de a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: library (dplyr) final_df <- df_A %>% left_join(select(df_B, team, conference), by=” team “) Bu \u00f6zel \u00f6rnek, df_A ve df_B ad\u0131 verilen veri \u00e7er\u00e7evelerinde, ekip ad\u0131 verilen s\u00fctuna kat\u0131larak sol birle\u015ftirme ger\u00e7ekle\u015ftirecektir, ancak sonu\u00e7ta ortaya \u00e7\u0131kan veri \u00e7er\u00e7evesine yaln\u0131zca df_B’nin ekip […]<\/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-4509","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nDplyr'de se\u00e7ili s\u00fctunlar\u0131 kullanarak sol birle\u015ftirme nas\u0131l ger\u00e7ekle\u015ftirilir - 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