<\/p>\n
Verileri R’de haftaya g\u00f6re gruplamak i\u00e7in R taban\u0131ndaki strftime()<\/strong> i\u015flevini \u201c %V<\/strong> \u201d arg\u00fcman\u0131yla kullanabilirsiniz.<\/span><\/p>\n Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir.<\/span><\/p>\n R’de bir \u00fcr\u00fcn\u00fcn farkl\u0131 tarihlerdeki toplam sat\u0131\u015f\u0131n\u0131 g\u00f6steren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Her tarihin hafta numaras\u0131n\u0131 g\u00f6r\u00fcnt\u00fcleyen bir s\u00fctun eklemek i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span><\/p>\n Not<\/strong> : Belgelere g\u00f6re, %V%<\/strong> tarih say\u0131lar\u0131n\u0131 \u015fu \u015fekilde hesaplar: “y\u0131l\u0131n hafta numaras\u0131 (haftan\u0131n ilk g\u00fcn\u00fc olarak Pazartesi) ondal\u0131k say\u0131 olarak [01,53].” 1 Ocak’\u0131 i\u00e7eren hafta, yeni y\u0131lda d\u00f6rt veya daha fazla g\u00fcn i\u00e7eriyorsa 1. hafta olarak kabul edilir. Aksi takdirde bir \u00f6nceki y\u0131l\u0131n son haftas\u0131, takip eden hafta ise 1. haftad\u0131r.”<\/em><\/span><\/p>\n Bu yeni s\u00fctunu olu\u015fturduktan sonra de\u011ferleri hafta say\u0131s\u0131na g\u00f6re gruplayabiliriz.<\/span><\/p>\n \u00d6rne\u011fin, haftaya g\u00f6re grupland\u0131r\u0131lm\u0131\u015f sat\u0131\u015flar\u0131n toplam\u0131n\u0131 hesaplamak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span><\/p>\n Sonu\u00e7tan \u015funu g\u00f6rebiliriz:<\/span><\/p>\n Ve benzeri.<\/span><\/p>\n Verileri toplamak i\u00e7in ba\u015fka bir metrik de kullanabiliriz.<\/span><\/p>\n \u00d6rne\u011fin, haftaya g\u00f6re grupland\u0131r\u0131lm\u0131\u015f ortalama sat\u0131\u015flar\u0131 hesaplamak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span><\/p>\n Sonu\u00e7tan \u015funu g\u00f6rebiliriz:<\/span><\/p>\n Ve benzeri.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer ortak g\u00f6revlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Veriler R cinsinden aya g\u00f6re nas\u0131l gruplan\u0131r?<\/a> Verileri R’de haftaya g\u00f6re gruplamak i\u00e7in R taban\u0131ndaki strftime() i\u015flevini \u201c %V \u201d arg\u00fcman\u0131yla kullanabilirsiniz. Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r: df$week_num <- strftime(df$date, format = ” %V “) A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir. \u00d6rnek: verileri R’de haftaya g\u00f6re gruplama R’de bir \u00fcr\u00fcn\u00fcn farkl\u0131 tarihlerdeki toplam sat\u0131\u015f\u0131n\u0131 g\u00f6steren a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip […]<\/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-3247","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df$week_num <- strftime(df$date, format = \" %V<\/span> \")\n<\/strong><\/pre>\n \u00d6rnek: verileri R’de haftaya g\u00f6re gruplama<\/strong><\/h2>\n
#create data frame<\/span>\ndf <- data. frame<\/span> (date=as. Date<\/span> (c('1\/8\/2022', '1\/9\/2022', '2\/10\/2022', '2\/15\/2022',\n '3\/5\/2022', '3\/22\/2022', '3\/27\/2022'), '%m\/%d\/%Y'),\n sales=c(8, 14, 22, 23, 16, 17, 23))\n\n#view data frame\n<\/span>df\n\n dirty date\n1 2022-01-08 8\n2 2022-01-09 14\n3 2022-02-10 22\n4 2022-02-15 23\n5 2022-03-05 16\n6 2022-03-22 17\n7 2022-03-27 23<\/strong><\/pre>\n #add column to show week number\n<\/span>df$week_num <- strftime(df$date, format = \" %V<\/span> \")\n\n#view updated data frame\n<\/span>df\n\n date sales week_num\n1 2022-01-08 8 01\n2 2022-01-09 14 01\n3 2022-02-10 22 06\n4 2022-02-15 23 07\n5 2022-03-05 16 09\n6 2022-03-22 17 12\n7 2022-03-27 23 12<\/strong><\/span><\/pre>\n library<\/span> (dplyr)\n\n#calculate sum of sales, grouped by week\n<\/span>df %>%\n group_by(week_num) %>%\n summarize(total_sales = sum(sales))\n\n# A tibble: 6 x 2\n week_num total_sales\n \n1 01 22\n2 06 22\n3 07 23\n4 09 16\n5 12 40\n<\/strong><\/span><\/pre>\n\n
library<\/span> (dplyr)\n\n#calculate mean of sales, grouped by week\n<\/span>df %>%\n group_by(week_num) %>%\n summarize(mean_sales = mean(sales))\n\n# A tibble: 5 x 2\n week_num mean_sales\n \n1 01 11\n2 06 22\n3 07 23\n4 09 16\n5 12 20<\/strong><\/span><\/pre>\n\n
Ek kaynaklar<\/strong><\/span><\/h3>\n
R’deki tarihten y\u0131l nas\u0131l \u00e7\u0131kar\u0131l\u0131r<\/a>
R’deki tarihten ay nas\u0131l \u00e7\u0131kar\u0131l\u0131r<\/a>
R’de bir veri \u00e7er\u00e7evesi tarihe g\u00f6re nas\u0131l s\u0131ralan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"