<\/p>\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 Bu CSV dosyas\u0131n\u0131 R’ye aktarman\u0131n \u00fc\u00e7 yayg\u0131n yolu vard\u0131r:<\/span><\/p>\n 1. R taban\u0131ndan read.csv’yi kullan\u0131n<\/strong> (en yava\u015f y\u00f6ntem, ancak daha k\u00fc\u00e7\u00fck veri k\u00fcmeleri i\u00e7in iyi \u00e7al\u0131\u015f\u0131r)<\/span><\/p>\n 2. Readr paketindeki read_csv’yi kullan\u0131n<\/strong> (read.csv’den 2-3 kat daha h\u0131zl\u0131)<\/span><\/p>\n 3. data.table paketinden fread kullan\u0131n<\/strong> (read_csv’den 2-3 kat daha h\u0131zl\u0131)<\/span><\/p>\n Bu e\u011fitimde, CSV dosyas\u0131n\u0131 R’ye aktarmak i\u00e7in bu y\u00f6ntemlerin her birinin kullan\u0131m\u0131na ili\u015fkin bir \u00f6rnek g\u00f6sterilmektedir.<\/span><\/p>\n CSV dosyan\u0131z olduk\u00e7a k\u00fc\u00e7\u00fckse, onu i\u00e7e aktarmak i\u00e7in Base R’nin read.csv<\/strong> i\u015flevini kullanabilirsiniz.<\/span><\/p>\n Bu y\u00f6ntemi kullan\u0131rken, R’nin alfabetik veya kategorik de\u011fi\u015fkenleri fakt\u00f6rlere d\u00f6n\u00fc\u015ft\u00fcrmemesi i\u00e7in stringsAsFactors=FALSE<\/strong> belirtti\u011finizden emin olun.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bu CSV dosyas\u0131n\u0131 R’ye aktarmak i\u00e7in read.csv’nin<\/strong> nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Daha b\u00fcy\u00fck dosyalarla \u00e7al\u0131\u015f\u0131yorsan\u0131z readr paketinin read_csv<\/strong> i\u015flevini kullanabilirsiniz:<\/span><\/p>\n CSV’niz \u00e7ok b\u00fcy\u00fckse onu R’ye aktarman\u0131n en h\u0131zl\u0131 yolu data.table paketindeki fread<\/strong> i\u015flevini kullanmakt\u0131r:<\/span><\/p>\n A\u015fa\u011f\u0131daki yayg\u0131n hatay\u0131 \u00f6nlemek i\u00e7in her \u00f6rnekte dosya yolunda \u00e7ift ters e\u011fik \u00e7izgi (\\\\) kulland\u0131\u011f\u0131m\u0131z\u0131 unutmay\u0131n:<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde di\u011fer dosya t\u00fcrlerinin R’ye nas\u0131l aktar\u0131laca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Excel dosyalar\u0131 R’ye nas\u0131l aktar\u0131l\u0131r<\/a> Diyelim ki a\u015fa\u011f\u0131daki konuma kaydedilmi\u015f data.csv ad\u0131nda bir CSV dosyam var: C:\\Kullan\u0131c\u0131lar\\Bob\\Masa\u00fcst\u00fc\\data.csv CSV dosyas\u0131n\u0131n a\u015fa\u011f\u0131daki verileri i\u00e7erdi\u011fini varsayal\u0131m: team, points, assists ‘A’, 78, 12 ‘B’, 85, 20 ‘C’, 93, 23 ‘D’, 90, 8 ‘E’, 91, 14 Bu CSV dosyas\u0131n\u0131 R’ye aktarman\u0131n \u00fc\u00e7 yayg\u0131n yolu vard\u0131r: 1. R taban\u0131ndan read.csv’yi kullan\u0131n (en yava\u015f y\u00f6ntem, ancak daha […]<\/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-1155","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\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
data1 <- read.csv(\" C:\\\\Users\\\\Bob\\\\Desktop\\\\data.csv<\/span> \", header= TRUE<\/span> , stringsAsFactors= FALSE<\/span> )\n<\/strong><\/pre>\n library<\/span> (readr)\n\ndata2 <- read_csv(\" C:\\Users\\Bob\\Desktop\\data.csv<\/span> \")<\/strong><\/pre>\n library<\/span> (data.table)\n\ndata3 <- fread(\" C:\\Users\\Bob\\Desktop\\data.csv<\/span> \")<\/strong><\/pre>\n Y\u00f6ntem 1: read.csv’yi kullanma<\/strong><\/span><\/h3>\n
#import data<\/span>\ndata1 <- read.csv(\" C:\\\\Users\\\\Bob\\\\Desktop\\\\data.csv<\/span> \", header= TRUE<\/span> , stringsAsFactors= FALSE<\/span> )\n\n#view structure of data\n<\/span>str(data1)\n\n'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 Y\u00f6ntem 2: read_csv’yi kullanma<\/strong><\/span><\/h3>\n
library<\/span> (readr)<\/span>\n\n#import data<\/span>\ndata2 <- read_csv(\" C:\\Users\\Bob\\Desktop\\data.csv<\/span> \")\n\n#view structure of data\n<\/span>str(data2)\n\n'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 Y\u00f6ntem 3: Feed’i kullan<\/strong><\/span><\/h3>\n
library<\/span> (data.table)<\/span>\n\n#import data<\/span>\ndata3 <- fread(\" C:\\Users\\Bob\\Desktop\\data.csv<\/span> \")\n\n#view structure of data\n<\/span>str(data3)\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<\/strong><\/pre>\n Error: '\\U' used without hex digits in character string starting \"\"C:\\U\"<\/span>\n<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
TSV dosyalar\u0131 R’ye nas\u0131l aktar\u0131l\u0131r<\/a>
Zip dosyalar\u0131 R’ye nas\u0131l aktar\u0131l\u0131r<\/a>
SAS dosyalar\u0131 R’ye nas\u0131l aktar\u0131l\u0131r<\/a>
.dta dosyalar\u0131 R’ye nas\u0131l aktar\u0131l\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"