Y\u00f6ntem 1: Belirli bir sat\u0131rdan CSV dosyas\u0131n\u0131 i\u00e7e aktar\u0131n<\/strong><\/span><\/p>\n Bu \u00f6zel \u00f6rnek, CSV dosyas\u0131n\u0131n ilk iki sat\u0131r\u0131n\u0131 atlayacak ve \u00fc\u00e7\u00fcnc\u00fc sat\u0131rdan ba\u015flayarak dosyan\u0131n di\u011fer t\u00fcm sat\u0131rlar\u0131n\u0131 i\u00e7e aktaracakt\u0131r.<\/span><\/p>\n Y\u00f6ntem 2: Sat\u0131rlar\u0131n ko\u015fulu kar\u015f\u0131lad\u0131\u011f\u0131 bir CSV dosyas\u0131n\u0131 i\u00e7e aktar\u0131n<\/strong><\/span><\/p>\n Bu \u00f6zel \u00f6rnek, CSV dosyas\u0131ndan yaln\u0131zca “puan” s\u00fctunundaki de\u011feri 90’dan b\u00fcy\u00fck olan sat\u0131rlar\u0131 i\u00e7e aktaracakt\u0131r.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, bu y\u00f6ntemlerin her birinin pratikte my_data.csv<\/strong> adl\u0131 a\u015fa\u011f\u0131daki CSV dosyas\u0131yla nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n A\u015fa\u011f\u0131daki kod, CSV dosyas\u0131n\u0131n nas\u0131l i\u00e7e aktar\u0131laca\u011f\u0131n\u0131 ve dosyan\u0131n ilk iki sat\u0131r\u0131n\u0131n nas\u0131l g\u00f6z ard\u0131 edilece\u011fini g\u00f6sterir:<\/span><\/p>\n CSV dosyas\u0131 i\u00e7e aktar\u0131l\u0131rken ilk iki sat\u0131r\u0131n (A ve B ekipleriyle birlikte) g\u00f6z ard\u0131 edildi\u011fini unutmay\u0131n.<\/span><\/p>\n Varsay\u0131lan olarak R, bir sonraki kullan\u0131labilir sat\u0131r\u0131n de\u011ferlerini s\u00fctun adlar\u0131 olarak kullanmaya \u00e7al\u0131\u015f\u0131r.<\/span><\/p>\n S\u00fctunlar\u0131 yeniden adland\u0131rmak i\u00e7in labels()<\/strong> i\u015flevini a\u015fa\u011f\u0131daki gibi kullanabilirsiniz:<\/span><\/p>\n CSV dosyas\u0131ndan yaln\u0131zca puan s\u00fctunundaki de\u011feri 90’dan b\u00fcy\u00fck olan sat\u0131rlar\u0131 i\u00e7e aktarmak istedi\u011fimizi varsayal\u0131m.<\/span><\/p>\n Bunu yapmak i\u00e7in sqldf<\/strong> paketindeki read.csv.sql<\/strong> fonksiyonunu kullanabiliriz:<\/span><\/p>\n CSV dosyas\u0131n\u0131n yaln\u0131zca “puan” s\u00fctunundaki de\u011feri 90’dan b\u00fcy\u00fck olan iki sat\u0131r\u0131n\u0131n i\u00e7e aktar\u0131ld\u0131\u011f\u0131n\u0131 unutmay\u0131n.<\/span><\/p>\n Not #1<\/strong> : Bu \u00f6rnekte, dosyadaki “sat\u0131r sonu”nun yeni sat\u0131r\u0131 temsil eden \\n<\/strong> ile belirtildi\u011fini belirtmek i\u00e7in eol<\/strong> arg\u00fcman\u0131n\u0131 kulland\u0131k.<\/span><\/p>\n Not #2:<\/strong> Bu \u00f6rnekte basit bir SQL sorgusu kulland\u0131k, ancak sat\u0131rlar\u0131 daha da fazla ko\u015fula g\u00f6re filtrelemek i\u00e7in daha karma\u015f\u0131k sorgular yazabilirsiniz.<\/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 bir URL’den CSV nas\u0131l okunur<\/a> R’deki bir CSV dosyas\u0131ndaki belirli sat\u0131rlar\u0131 okumak i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: Belirli bir sat\u0131rdan CSV dosyas\u0131n\u0131 i\u00e7e aktar\u0131n df <- read. csv (” my_data.csv “, skip= 2 ) Bu \u00f6zel \u00f6rnek, CSV dosyas\u0131n\u0131n ilk iki sat\u0131r\u0131n\u0131 atlayacak ve \u00fc\u00e7\u00fcnc\u00fc sat\u0131rdan ba\u015flayarak dosyan\u0131n di\u011fer t\u00fcm sat\u0131rlar\u0131n\u0131 i\u00e7e aktaracakt\u0131r. Y\u00f6ntem 2: Sat\u0131rlar\u0131n ko\u015fulu kar\u015f\u0131lad\u0131\u011f\u0131 bir […]<\/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-4111","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df <- read. csv<\/span> (\" my_data.csv<\/span> \", skip= 2<\/span> )\n<\/strong><\/pre>\n library<\/span> (sqldf)\n\ndf <- read. csv<\/span> . sql<\/span> (\" my_data.csv<\/span> \",\n sql = \" select * from file where `points` > 90<\/span> \", eol = \" \\n<\/span> \")\n<\/strong><\/pre>\n![\"\"](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/certain1.png\")
<\/p>\n \u00d6rnek 1: Belirli bir sat\u0131rdan CSV dosyas\u0131n\u0131 i\u00e7e aktar\u0131n<\/strong><\/span><\/h2>\n
#import data frame and skip first two rows\n<\/span>df <- read. csv<\/span> (' my_data.csv<\/span> ', skip= 2<\/span> )\n\n#view data frame\n<\/span>df\n\n B X90 X28 X28.1\n1 C 86 31 24\n2 D 88 39 24\n3 E 95 34 28<\/span><\/span><\/strong><\/pre>\n #rename columns\n<\/span>names(df) <- c(' team<\/span> ', ' points<\/span> ', ' assists<\/span> ', ' rebounds<\/span> ')\n\n#view updated data frame<\/span>\ndf\n\n team points assists rebounds\n1 C 86 31 24\n2 D 88 39 24\n3 E 95 34 28\n<\/span><\/span><\/strong><\/pre>\n \u00d6rnek 2: Sat\u0131rlar\u0131n ko\u015fulu kar\u015f\u0131lad\u0131\u011f\u0131 bir CSV dosyas\u0131n\u0131 i\u00e7e aktar\u0131n<\/strong><\/span><\/h2>\n
library<\/span> (sqldf)\n\n#only import rows where points > 90\n<\/span>df <- read. csv<\/span> . sql<\/span> (\" my_data.csv<\/span> \",\n sql = \" select * from file where `points` > 90<\/span> \", eol = \" \\n<\/span> \")\n\n#view data frame\n<\/span>df\n\n team points assists rebounds\n1 \u201cA\u201d 99 33 30\n2 \u201cE\u201d 95 34 28\n<\/strong><\/span><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h2>\n
R’de birden fazla CSV dosyas\u0131 nas\u0131l birle\u015ftirilir<\/a>
Bir veri \u00e7er\u00e7evesi R’deki bir CSV dosyas\u0131na nas\u0131l aktar\u0131l\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"