{"id":3223,"date":"2023-07-18T14:39:02","date_gmt":"2023-07-18T14:39:02","guid":{"rendered":"https:\/\/statorials.org\/tr\/korkuyorum\/"},"modified":"2023-07-18T14:39:02","modified_gmt":"2023-07-18T14:39:02","slug":"korkuyorum","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/korkuyorum\/","title":{"rendered":"Dosyalar\u0131 daha h\u0131zl\u0131 i\u00e7e aktarmak i\u00e7in r'de fread() nas\u0131l kullan\u0131l\u0131r?"},"content":{"rendered":"

<\/p>\n

\n

Dosyalar\u0131 h\u0131zl\u0131 ve kolay bir \u015fekilde i\u00e7e aktarmak i\u00e7in R’deki data.table<\/strong> paketinin fread()<\/strong> i\u015flevini kullanabilirsiniz.<\/span><\/span><\/p>\n

Bu i\u015flev a\u015fa\u011f\u0131daki temel s\u00f6zdizimini kullan\u0131r:<\/span><\/p>\n

 library<\/span> (data.table)\n\ndf <- fread(\" C:\\\\Users\\\\Path\\\\To\\\\My\\\\data.csv<\/span> \")<\/strong><\/pre>\n
 B\u00fcy\u00fck dosyalar i\u00e7in bu i\u015flevin, R taban\u0131ndaki read.csv<\/strong> gibi i\u015flevlerden \u00f6nemli \u00f6l\u00e7\u00fcde daha h\u0131zl\u0131 oldu\u011fu bulundu.<\/span><\/p>\n
 \u00c7o\u011fu durumda bu i\u015flev, i\u00e7e aktard\u0131\u011f\u0131n\u0131z veri k\u00fcmesine ili\u015fkin s\u0131n\u0131rlay\u0131c\u0131 ve s\u00fctun t\u00fcrlerini de otomatik olarak alg\u0131layabilir.<\/span><\/p>\n
 A\u015fa\u011f\u0131daki \u00f6rnekte bu fonksiyonun pratikte nas\u0131l kullan\u0131laca\u011f\u0131 g\u00f6sterilmektedir.<\/span><\/p>\n
 \u00d6rnek: Dosyalar\u0131 R’ye aktarmak i\u00e7in feed() nas\u0131l kullan\u0131l\u0131r?<\/strong><\/span><\/h3>\n
 Diyelim ki a\u015fa\u011f\u0131daki konuma kaydedilmi\u015f data.csv<\/strong> ad\u0131nda bir CSV dosyam var:<\/span><\/p>\n
 C:\\Kullan\u0131c\u0131lar\\Bob\\Masa\u00fcst\u00fc\\data.csv<\/strong><\/span><\/p>\n
 CSV dosyas\u0131n\u0131n a\u015fa\u011f\u0131daki verileri i\u00e7erdi\u011fini varsayal\u0131m:<\/span><\/p>\n
 team, points, assists\n'A', 78, 12\n'B', 85, 20\n'C', 93, 23\n'D', 90, 8\n'E', 91, 14\n<\/strong><\/pre>\n
 Bu dosyay\u0131 mevcut R ortam\u0131ma aktarmak i\u00e7in data.table<\/strong> paketinin fread()<\/strong> i\u015flevini kullanabilirim:<\/span><\/span><\/p>\n
 library<\/span> (data.table)<\/span>\n\n#import data<\/span>\ndf <- fread(\"C:\\Users\\Bob\\Desktop\\data.csv\")\n<\/span>\n#viewdata\n<\/span>df\n\n  team points assists\n1 A 78 12\n2 B 85 20\n3 C 93 23\n4 D 90 8\n5 E 91 14<\/strong><\/pre>\n
 Fread()<\/strong> fonksiyonunu kullanarak CSV dosyas\u0131n\u0131 ba\u015far\u0131l\u0131 bir \u015fekilde i\u00e7e aktarabiliyoruz.<\/span><\/p>\n
 Not<\/strong> : Yayg\u0131n bir i\u00e7e aktarma hatas\u0131ndan<\/a> ka\u00e7\u0131nmak i\u00e7in dosya yolunda \u00e7ift ters e\u011fik \u00e7izgi (\\\\) kulland\u0131k.<\/span><\/p>\n
 Fread()<\/strong> i\u015flevi bunun virg\u00fcl oldu\u011funu otomatik olarak alg\u0131lad\u0131\u011f\u0131ndan s\u0131n\u0131rlay\u0131c\u0131y\u0131 belirtmemize de gerek olmad\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n
 Veri \u00e7er\u00e7evesinin yap\u0131s\u0131n\u0131 g\u00f6r\u00fcnt\u00fclemek i\u00e7in str()<\/a> fonksiyonunu kullan\u0131rsak, fread()<\/strong> fonksiyonunun ayr\u0131ca her s\u00fctun i\u00e7in nesne tipini otomatik olarak tan\u0131mlad\u0131\u011f\u0131n\u0131 g\u00f6rebiliriz:<\/span><\/p>\n
 #view structure of data\n<\/span>str(df)\n\nClasses 'data.table' and 'data.frame': 5 obs. of 3 variables:\n $ team: chr \"'A'\" \"'B'\" \"'C'\" \"'D'\" ...\n $points: int 78 85 93 90 91\n $assists: int 12 20 23 8 14\n<\/strong><\/pre>\n
 Sonu\u00e7tan \u015funu g\u00f6rebiliriz:<\/span><\/p>\n