{"id":2892,"date":"2023-07-20T05:38:33","date_gmt":"2023-07-20T05:38:33","guid":{"rendered":"https:\/\/statorials.org\/tr\/ggplot-histogram-kutulari\/"},"modified":"2023-07-20T05:38:33","modified_gmt":"2023-07-20T05:38:33","slug":"ggplot-histogram-kutulari","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/ggplot-histogram-kutulari\/","title":{"rendered":"Ggplot2'de bir histogram i\u00e7in kutu say\u0131s\u0131 nas\u0131l ayarlan\u0131r?"},"content":{"rendered":"

<\/p>\n

\n

ggplot2’deki<\/a> bir histogramda kullan\u0131lacak kutu say\u0131s\u0131n\u0131 belirtmek i\u00e7in bins<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabilirsiniz:<\/span><\/p>\n

 library<\/span> (ggplot2)\n\nggplot(df, aes<\/span> (x=x)) +\n  geom_histogram(bins= 10<\/span> )\n<\/strong><\/pre>\n
 A\u015fa\u011f\u0131daki \u00f6rnekler bu arg\u00fcman\u0131n pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir.<\/span><\/p>\n
 \u00d6rnek: ggplot2’de histogram i\u00e7in kutu say\u0131s\u0131n\u0131 ayarlay\u0131n<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki kod, R’de ortalama de\u011feri 2 olan bir Poisson da\u011f\u0131l\u0131m\u0131n\u0131<\/a> takip eden 10.000 rastgele de\u011fer i\u00e7eren bir veri k\u00fcmesinin nas\u0131l olu\u015fturulaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n
 #make this example reproducible\n<\/span>set. seeds<\/span> (0)\n\n#create data frame with 10,000 random values that follow Poisson distribution\n<\/span>df <- data. frame<\/span> (values=rpois(n= 10000<\/span> , lambda= 2<\/span> ))\n\n#view first five rows of data frame\n<\/span>head(df)\n\n  values\n1 4\n2 1\n3 1\n4 2\n5 4\n6 1\n<\/strong><\/span><\/pre>\n
 Veri \u00e7er\u00e7evesindeki de\u011ferlerin da\u011f\u0131l\u0131m\u0131n\u0131 g\u00f6rselle\u015ftirmek amac\u0131yla ggplot2’de bir histogram olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\nggplot(df, aes<\/span> (x=values)) +\n  geom_histogram(fill=' steelblue<\/span> ', col=' black<\/span> ')<\/strong><\/span> <\/pre>\n
\"\"<\/p>\n
 Varsay\u0131lan olarak, ggplot2 histogramda kullan\u0131lacak belirli say\u0131da kutuyu otomatik olarak se\u00e7ecektir.<\/span><\/p>\n
 Ancak histogram\u0131n 10<\/strong> kutu kullanmas\u0131n\u0131 istedi\u011fimizi belirtmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\nggplot(df, aes<\/span> (x=values)) +\n  geom_histogram(fill=' steelblue<\/span> ', col=' black<\/span> ', bins= 10<\/span> )<\/strong><\/span> <\/pre>\n
\"\"<\/p>\n
 Histogram\u0131n art\u0131k tam olarak 10<\/strong> kutuya sahip oldu\u011funu unutmay\u0131n.<\/span><\/p>\n
 Veya histogram\u0131n 5<\/strong> b\u00f6lme kullanmas\u0131n\u0131 istedi\u011fimizi belirtmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabiliriz:<\/span> <\/p>\n
 library<\/span> (ggplot2)\n\nggplot(df, aes<\/span> (x=values)) +\n  geom_histogram(fill=' steelblue<\/span> ', col=' black<\/span> ', bins= 5<\/span> )<\/strong><\/span> <\/pre>\n
\"\"<\/p>\n
 Histogram\u0131n art\u0131k tam olarak 5<\/strong> kutuya sahip oldu\u011funu unutmay\u0131n.<\/span><\/p>\n
 Ne kadar az kutu kullan\u0131rsan\u0131z her kutunun o kadar geni\u015f olaca\u011f\u0131n\u0131 g\u00f6receksiniz.<\/strong><\/span><\/p>\n
 Genel olarak \u00e7ok az grup kullan\u0131rsan\u0131z de\u011ferlerin temeldeki ger\u00e7ek da\u011f\u0131l\u0131m\u0131 gizlenecektir.<\/span><\/p>\n
 Ancak \u00e7ok fazla grup kullan\u0131rsan\u0131z verilerde g\u00fcr\u00fclt\u00fc g\u00f6rme riskiyle kar\u015f\u0131 kar\u015f\u0131ya kal\u0131rs\u0131n\u0131z.<\/span><\/p>\n
 Histogramda kullan\u0131lacak en uygun kutu say\u0131s\u0131n\u0131 bulman\u0131n bir yolu Sturges kural\u0131n\u0131<\/strong> kullanmakt\u0131r. Bu kural hakk\u0131nda daha fazla bilgiyi burada<\/a> bulabilirsiniz.<\/span><\/p>\n
 Not<\/strong> : Geom_histogram<\/strong> i\u015flevine ili\u015fkin t\u00fcm belgeleri burada<\/a> bulabilirsiniz.<\/span><\/p>\n
 Ek kaynaklar<\/strong><\/span><\/h3>\n
 A\u015fa\u011f\u0131daki e\u011fitimlerde R’de di\u011fer ortak grafiklerin nas\u0131l olu\u015fturulaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n
 R’de g\u00f6receli frekans histogram\u0131 nas\u0131l olu\u015fturulur<\/a>
 R’de tek bir grafikte birden fazla kutu grafi\u011fi nas\u0131l \u00e7izilir<\/a>
 R’de bir grafikte birden fazla \u00e7izgi nas\u0131l \u00e7izilir<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
ggplot2’deki bir histogramda kullan\u0131lacak kutu say\u0131s\u0131n\u0131 belirtmek i\u00e7in bins ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanabilirsiniz: library (ggplot2) ggplot(df, aes (x=x)) + geom_histogram(bins= 10 ) A\u015fa\u011f\u0131daki \u00f6rnekler bu arg\u00fcman\u0131n pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6stermektedir. \u00d6rnek: ggplot2’de histogram i\u00e7in kutu say\u0131s\u0131n\u0131 ayarlay\u0131n A\u015fa\u011f\u0131daki kod, R’de ortalama de\u011feri 2 olan bir Poisson da\u011f\u0131l\u0131m\u0131n\u0131 takip eden 10.000 rastgele de\u011fer i\u00e7eren bir veri k\u00fcmesinin […]<\/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-2892","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\nGgplot2'de bir histogram 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