{"id":3799,"date":"2023-07-15T11:48:29","date_gmt":"2023-07-15T11:48:29","guid":{"rendered":"https:\/\/statorials.org\/tr\/r-veri-cercevesini-zaman-serisine-donusturun\/"},"modified":"2023-07-15T11:48:29","modified_gmt":"2023-07-15T11:48:29","slug":"r-veri-cercevesini-zaman-serisine-donusturun","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/r-veri-cercevesini-zaman-serisine-donusturun\/","title":{"rendered":"R'de bir veri \u00e7er\u00e7evesini zaman serisine d\u00f6n\u00fc\u015ft\u00fcrme"},"content":{"rendered":"

<\/p>\n

\n

R’de bir veri \u00e7er\u00e7evesini zaman serisi nesnesine d\u00f6n\u00fc\u015ft\u00fcrmenin en kolay yolu, zoo<\/strong> paketindeki read.zoo()<\/strong> i\u015flevini kullanmakt\u0131r:<\/span><\/p>\n

 tseries <- read. zoo<\/span> (df)\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir.<\/span><\/span><\/p>\n
 \u00d6rnek: Veri \u00c7er\u00e7evesini R’de Zaman Serisine D\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h2>\n
 R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n
 #create data frame\n<\/span>df <- data. frame<\/span> (date = as.Date<\/span> (' 2022-01-01<\/span> ') + 0:9,\n                 sales = runif(10, 10, 500) + seq(50, 59)^2)\n\n#view data frame\n<\/span>df\n\n         dirty date\n1 2022-01-01 2797.159\n2 2022-01-02 2782.148\n3 2022-01-03 2801.773\n4 2022-01-04 3257.546\n5 2022-01-05 3415.920\n6 2022-01-06 3267.564\n7 2022-01-07 3577.496\n8 2022-01-08 3627.193\n9 2022-01-09 3509.547\n10 2022-01-10 3670.815\n<\/strong><\/pre>\n
 df’nin \u015fu anda bir veri \u00e7er\u00e7evesi oldu\u011funu do\u011frulamak i\u00e7in class()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n
 #display class of df<\/span>\nclass(df)\n\n[1] \"data.frame\"\n<\/strong><\/pre>\n
 Veri \u00e7er\u00e7evesini bir zaman serisi nesnesine d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in zoo<\/strong> paketindeki read.zoo()<\/strong> i\u015flevini kullanabiliriz:<\/span><\/p>\n
 library<\/span> (zoo)<\/span>\n\n<\/span>#convert data frame to time series\n<\/span>tseries <- read. zoo<\/span> (df)\n\n#view time series\n<\/span>tseries\n\n2022-01-01 2022-01-02 2022-01-03 2022-01-04 2022-01-05 2022-01-06 2022-01-07 \n  2797.159 2782.148 2801.773 3257.546 3415.920 3267.564 3577.496 \n2022-01-08 2022-01-09 2022-01-10 \n  3627.193 3509.547 3670.815<\/strong><\/pre>\n
 Tserisi’nin “hayvanat bah\u00e7esi” zaman serisi s\u0131n\u0131f\u0131na sahip oldu\u011funu do\u011frulamak i\u00e7in class()<\/strong> fonksiyonunu kullanabiliriz.<\/span><\/p>\n
 #display class of tseries<\/span>\nclass(tseries)\n\n[1] \u201czoo\u201d\n<\/strong><\/pre>\n
 “Zoo” zaman serisi nesnesini “ts” zaman serisi nesnesine d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in as.ts()<\/strong> i\u015flevini de kullanabiliriz:<\/span><\/p>\n
 #convert to ts object\n<\/span>tseries_ts <- as. ts<\/span> (tseries)\n\n#view time series object\n<\/span>tseries_ts\n\nTime Series:\nStart = 18993 \nEnd = 19002 \nFrequency = 1 \n [1] 2797.159 2782.148 2801.773 3257.546 3415.920 3267.564 3577.496 3627.193\n [9] 3509,547 3670,815\n\n#view class\n<\/span>class(tseries_ts)\n\n[1] \u201cts\u201d\n<\/strong><\/pre>\n
 Nihai hedefinize ba\u011fl\u0131 olarak, veri \u00e7er\u00e7evesini bir “hayvanat bah\u00e7esi” zaman serisi nesnesine veya “ts” zaman serisi nesnesine d\u00f6n\u00fc\u015ft\u00fcrmek daha anlaml\u0131 olabilir.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span>
<\/span><\/h2>\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’de bir zaman serisi nas\u0131l \u00e7izilir<\/a>
 Bir dize R’de Datetime’a nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr?<\/a>
 Zaman farklar\u0131n\u0131 hesaplamak i\u00e7in R’de difftime nas\u0131l kullan\u0131l\u0131r?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
R’de bir veri \u00e7er\u00e7evesini zaman serisi nesnesine d\u00f6n\u00fc\u015ft\u00fcrmenin en kolay yolu, zoo paketindeki read.zoo() i\u015flevini kullanmakt\u0131r: tseries <- read. zoo (df) A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir. \u00d6rnek: Veri \u00c7er\u00e7evesini R’de Zaman Serisine D\u00f6n\u00fc\u015ft\u00fcrme R’de a\u015fa\u011f\u0131daki veri \u00e7er\u00e7evesine sahip oldu\u011fumuzu varsayal\u0131m: #create data frame df <- data. frame (date = as.Date (‘ 2022-01-01 […]<\/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-3799","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nR - Statorials'de bir veri \u00e7er\u00e7evesini zaman serisine d\u00f6n\u00fc\u015ft\u00fcrme<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde bir veri \u00e7er\u00e7evesinin R'de bir zaman serisi nesnesine nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fi bir \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/tr\/r-veri-cercevesini-zaman-serisine-donusturun\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"R - 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