<\/p>\n
Verileri aya g\u00f6re h\u0131zla grupland\u0131rmak i\u00e7in R’deki lubridate<\/a> paketindeki Floor_date()<\/strong> i\u015flevini 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 Aylara 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 Verileri ba\u015fka bir metrik kullanarak da toplayabiliriz.<\/span><\/p>\n \u00d6rne\u011fin, bir g\u00fcnde yap\u0131lan maksimum sat\u0131\u015flar\u0131 aya g\u00f6re grupland\u0131rarak hesaplayabiliriz:<\/span><\/p>\n Sonu\u00e7tan \u015funu g\u00f6rebiliriz:<\/span><\/p>\n Summary()<\/strong> i\u015flevinde istedi\u011finiz \u00f6l\u00e7\u00fcm\u00fc kullanmaktan \u00e7ekinmeyin.<\/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 R’deki tarihten y\u0131l nas\u0131l \u00e7\u0131kar\u0131l\u0131r<\/a> Verileri aya g\u00f6re h\u0131zla grupland\u0131rmak i\u00e7in R’deki lubridate paketindeki Floor_date() i\u015flevini kullanabilirsiniz. Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r: library (tidyverse) df %>% group_by(month = lubridate::floor_date(date_column, ‘ month ‘)) %>% summarize(sum = sum(value_column)) A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir. \u00d6rnek: verileri R’de aya g\u00f6re gruplama R’de bir \u00fcr\u00fcn\u00fcn farkl\u0131 tarihlerdeki toplam sat\u0131\u015f\u0131n\u0131 g\u00f6steren a\u015fa\u011f\u0131daki […]<\/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-3135","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n library<\/span> (tidyverse)<\/span>\n\n<\/span>df %>% \n group_by(month = lubridate::floor_date(date_column, ' month<\/span> ')) %>%\n summarize(sum = sum(value_column))<\/strong><\/pre>\n \u00d6rnek: verileri R’de aya g\u00f6re gruplama<\/strong><\/h3>\n
#create data frame<\/span>\ndf <- data. frame<\/span> (date=as. Date<\/span> (c('1\/4\/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 2022-01-04 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 library<\/span> (tidyverse)\n\n#group data by month and sum sales\n<\/span>df %>% \n group_by(month = lubridate::floor_date(date, ' month<\/span> ')) %>%\n summarize(sum_of_sales = sum(sales))\n\n# A tibble: 3 x 2\n month sum_of_sales\n \n1 2022-01-01 22\n2 2022-02-01 45\n3 2022-03-01 56\n<\/strong><\/span><\/pre>\n\n
library<\/span> (tidyverse)\n\n#group data by month and find max sales\n<\/span>df %>% \n group_by(month = lubridate::floor_date(date, ' month<\/span> ')) %>%\n summarize(max_of_sales = max(sales))\n\n# A tibble: 3 x 2\n month max_of_sales\n \n1 2022-01-01 14\n2 2022-02-01 23\n3 2022-03-01 23\n<\/strong><\/span><\/pre>\n\n
Ek kaynaklar<\/strong><\/span><\/h3>\n
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>
R’de fakt\u00f6r tarihe nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"