{"id":2476,"date":"2023-07-22T02:52:07","date_gmt":"2023-07-22T02:52:07","guid":{"rendered":"https:\/\/statorials.org\/tr\/r-eksik-degerleri-enterpolasyonla\/"},"modified":"2023-07-22T02:52:07","modified_gmt":"2023-07-22T02:52:07","slug":"r-eksik-degerleri-enterpolasyonla","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/r-eksik-degerleri-enterpolasyonla\/","title":{"rendered":"R'de eksik de\u011ferlerin enterpolasyonu nas\u0131l yap\u0131l\u0131r (bir \u00f6rnek dahil)"},"content":{"rendered":"

<\/p>\n

\n

R’deki bir veri \u00e7er\u00e7evesi s\u00fctunundaki eksik de\u011ferlerin enterpolasyonunu yapmak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n

 library<\/span> (dplyr)\nlibrary<\/span> (zoo)\n\ndf <- df %>%\n        mutate(column_name = na. approx<\/span> (column_name))\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n
 \u00d6rnek: R’de Eksik De\u011ferlerin Enterpolasyonu<\/strong><\/span><\/h2>\n
 R’de bir ma\u011fazan\u0131n ard\u0131 ard\u0131na 15 g\u00fcn boyunca yapt\u0131\u011f\u0131 toplam sat\u0131\u015flar\u0131 g\u00f6steren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n
 #create data frame\n<\/span>df <- data. frame<\/span> (day=1:15,\n                 sales=c(3, 6, 8, 10, 14, 17, 20, NA, NA, NA, NA, 35, 39, 44, 49))\n\n#view data frame\n<\/span>df\n\n   day sales\n1 1 3\n2 2 6\n3 3 8\n4 4 10\n5 5 14\n6 6 17\n7 7 20\n8 8 NA\n9 9 NA\n10 10 NA\n11 11 NA\n12 12 35\n13 13 39\n14 14 44\n15 15 49\n<\/strong><\/pre>\n
 Veri \u00e7er\u00e7evesinde d\u00f6rt g\u00fcnl\u00fck sat\u0131\u015f rakamlar\u0131n\u0131n eksik oldu\u011funu unutmay\u0131n.<\/span><\/p>\n
 Zaman i\u00e7indeki sat\u0131\u015flar\u0131 g\u00f6rselle\u015ftirmek i\u00e7in basit bir \u00e7izgi grafik olu\u015ftursayd\u0131k \u015f\u00f6yle g\u00f6r\u00fcn\u00fcrd\u00fc:<\/span> <\/p>\n
 #create line chart to visualize sales\n<\/span>plot(df$sales, type=' o<\/span> ', pch= 16<\/span> , col=' steelblue<\/span> ', xlab=' Day<\/span> ', ylab=' Sales<\/span> ')<\/strong> <\/pre>\n
\"R'de<\/p>\n
 Eksik de\u011ferleri doldurmak i\u00e7in, zoo<\/strong> paketindeki na.approx()<\/a> i\u015flevinin yan\u0131 s\u0131ra dplyr<\/strong> paketindeki mutate()<\/a> i\u015flevini de kullanabiliriz:<\/span><\/p>\n
 library<\/span> (dplyr)\nlibrary<\/span> (zoo)\n\n#interpolate missing values in 'sales' column\n<\/span>df <- df %>%\n        mutate(sales = na. approx<\/span> (sales))\n\n#view updated data frame<\/span>\ndf\n\n   day sales\n1 1 3\n2 2 6\n3 3 8\n4 4 10\n5 5 14\n6 6 17\n7 7 20\n8 8 23\n9 9 26\n10 10 29\n11 11 32\n12 12 35\n13 13 39\n14 14 44\n15 15 49\n<\/strong><\/pre>\n
 Eksik de\u011ferlerin her birinin de\u011fi\u015ftirildi\u011fini unutmay\u0131n.<\/span><\/p>\n
 G\u00fcncellenmi\u015f veri \u00e7er\u00e7evesini g\u00f6rselle\u015ftirmek i\u00e7in ba\u015fka bir \u00e7izgi grafik olu\u015fturursak \u015f\u00f6yle g\u00f6r\u00fcn\u00fcr:<\/span> <\/p>\n
 #create line chart to visualize sales\n<\/span>plot(df$sales, type=' o<\/span> ', pch= 16<\/span> , col=' steelblue<\/span> ', xlab=' Day<\/span> ', ylab=' Sales<\/span> ')<\/strong> <\/pre>\n
\"\"<\/p>\n
 na.approx()<\/strong> i\u015flevi taraf\u0131ndan se\u00e7ilen de\u011ferlerin, verilerin trendiyle olduk\u00e7a iyi e\u015fle\u015fti\u011fini unutmay\u0131n.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h2>\n
 A\u015fa\u011f\u0131daki e\u011fitimler, R’de eksik de\u011ferlerin nas\u0131l ele al\u0131naca\u011f\u0131 hakk\u0131nda ek bilgi sa\u011flar:<\/span><\/p>\n
 R’de eksik de\u011ferler nas\u0131l bulunur ve say\u0131l\u0131r<\/a>
 Eksik de\u011ferlerin t\u00fcm\u00fc R’ye nas\u0131l aktar\u0131l\u0131r?<\/a>
 R’de is.na i\u015flevi nas\u0131l kullan\u0131l\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
R’deki bir veri \u00e7er\u00e7evesi s\u00fctunundaki eksik de\u011ferlerin enterpolasyonunu yapmak i\u00e7in a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullanabilirsiniz: library (dplyr) library (zoo) df <- df %>% mutate(column_name = na. approx (column_name)) A\u015fa\u011f\u0131daki \u00f6rnek, bu s\u00f6zdiziminin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir. \u00d6rnek: R’de Eksik De\u011ferlerin Enterpolasyonu R’de bir ma\u011fazan\u0131n ard\u0131 ard\u0131na 15 g\u00fcn boyunca yapt\u0131\u011f\u0131 toplam sat\u0131\u015flar\u0131 g\u00f6steren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine […]<\/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-2476","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nR'de Eksik De\u011ferlerin Enterpolasyonu Nas\u0131l Yap\u0131l\u0131r (\u00d6rnekle) - 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