Bu e\u011fitimde, ggplot2<\/a> veri g\u00f6rselle\u015ftirme kitapl\u0131\u011f\u0131n\u0131 kullanarak bunun h\u0131zl\u0131 bir \u015fekilde nas\u0131l yap\u0131laca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r.<\/span><\/p>\n R’de a\u015fa\u011f\u0131daki veri k\u00fcmesine sahip oldu\u011fumuzu varsayal\u0131m:<\/span><\/p>\n Bu veri k\u00fcmesi i\u00e7in ggplot2’yi kullanarak temel bir zaman serisi grafi\u011fi olu\u015fturmak i\u00e7in a\u015fa\u011f\u0131daki kodu kullanabiliriz:<\/span> <\/p>\n Grafi\u011fin x ekseni boyunca g\u00f6r\u00fcnt\u00fclenen tarihleri bi\u00e7imlendirmek i\u00e7in Scale_x_date()<\/strong> * i\u015flevini kullanabiliriz. Bu i\u015flev a\u015fa\u011f\u0131daki ba\u011f\u0131ms\u0131z de\u011fi\u015fkenleri al\u0131r:<\/span><\/p>\n *<\/strong> Bu fonksiyonun \u00e7al\u0131\u015fmas\u0131 i\u00e7in x ekseni de\u011fi\u015fkeninin bir tarih de\u011fi\u015fkeni olmas\u0131 gerekir. Hen\u00fcz de\u011filse, as.Date(<\/strong> de\u011fi\u015fken_ad\u0131)<\/strong> kullanarak onu h\u0131zl\u0131 bir \u015fekilde bir de\u011fi\u015fkene d\u00f6n\u00fc\u015ft\u00fcrebilirsiniz.<\/span><\/em><\/p>\n A\u015fa\u011f\u0131daki kod, bu formatlardan birinin pratikte nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span> <\/p>\n Date_breaks<\/strong> ba\u011f\u0131ms\u0131z de\u011fi\u015fkenini kullanarak x ekseni boyunca daha s\u0131k (veya seyrek) kesmeler de ekleyebilirsiniz. \u00d6rne\u011fin, tarihleri x ekseni boyunca iki haftada bir g\u00f6r\u00fcnt\u00fcleyebiliriz:<\/span> <\/p>\n Ayr\u0131ca a\u015fa\u011f\u0131daki arg\u00fcman\u0131 kullanarak x ekseni etiketlerini kolayca e\u011febiliriz:<\/span> <\/p>\n Son olarak, zaman serisi grafi\u011fini g\u00f6rsel olarak daha \u00e7ekici hale getirmek i\u00e7in temay\u0131, eksen etiketlerini ve ba\u015fl\u0131\u011f\u0131 de\u011fi\u015ftirebiliriz:<\/span> <\/p>\n En iyi ggplot2 temalar\u0131 i\u00e7in eksiksiz bir rehber<\/a> \u00c7o\u011fu zaman, zaman serisindeki de\u011ferlerin zaman i\u00e7inde nas\u0131l de\u011fi\u015fti\u011fini g\u00f6rselle\u015ftirmek i\u00e7in R’de bir zaman serisi \u00e7izmek isteyebilirsiniz. Bu e\u011fitimde, ggplot2 veri g\u00f6rselle\u015ftirme kitapl\u0131\u011f\u0131n\u0131 kullanarak bunun h\u0131zl\u0131 bir \u015fekilde nas\u0131l yap\u0131laca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r. R’de temel zaman serisi \u00e7izimi R’de a\u015fa\u011f\u0131daki veri k\u00fcmesine sahip oldu\u011fumuzu varsayal\u0131m: #create dataset df <- data.frame(date = as . Date (” 2021-01-01 “) […]<\/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-1106","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n R’de temel zaman serisi \u00e7izimi<\/strong><\/span><\/h3>\n
#create dataset<\/span>\ndf <- data.frame(date = as<\/span> . Date<\/span> (\" 2021-01-01<\/span> \") - 0:99,\n sales = runif<\/span> (100, 10, 500) + seq<\/span> (50, 149)^2)\n\n#view first six rows\n<\/span>head(df)\n\n dirty date\n1 2021-01-01 2845.506\n2 2020-12-31 2837.849\n3 2020-12-30 3115.517\n4 2020-12-29 2847.161\n5 2020-12-28 3374.619\n6 2020-12-27 3182.005<\/strong><\/pre>\n library<\/span> (ggplot2)\n\n#create time series plot<\/span>\np <- ggplot(df, aes<\/span> (x=date, y=sales)) +\n geom_line()\n\n#display time series plot<\/span>\np\n<\/strong><\/pre>\n![\"R'de](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/series-temporellesr1.png\")
<\/p>\n Tarihleri X ekseninde bi\u00e7imlendirme<\/strong><\/span><\/h3>\n
\n
p + scale_x_date<\/span> ( date_labels<\/span> = \" %b %Y<\/span> \")<\/strong> <\/pre>\n![\"R'de](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/series-temporellesr2.png\")
<\/p>\n p + scale_x_date<\/span> ( date_breaks<\/span> = \" 2 week<\/span> \")<\/strong> <\/pre>\n![\"R'de](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/series-temporellesr3.png\")
<\/p>\n p + theme<\/span> ( axis.text.x<\/span> = element_text<\/span> (angle= 50<\/span> , hjust= 1<\/span> ))<\/strong> <\/pre>\n![\"Ggplot2'de](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/series-temporellesr4.png\")
<\/p>\n p <- ggplot(df, aes<\/span> (x=date, y=sales)) +\n geom_line( color<\/span> =\" turquoise4<\/span> \") +\n theme_minimal() + \n labs(x=\"\", y=\" Sales<\/span> \", title=\" Total Sales (Past 100 Days)<\/span> \") +\n theme( plot.title<\/span> = element_text<\/span> (hjust=0.5, size=20, face=\" bold<\/span> \"))\n\np<\/strong> <\/pre>\n![\"R'de](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/series-temporellesr5.png\")
<\/p>\n Ek kaynaklar<\/strong><\/span>
<\/span><\/h3>\n
Ggplot2 ba\u015fl\u0131klar\u0131na ili\u015fkin eksiksiz k\u0131lavuz<\/a>
Ggplot2’de yan yana grafikler nas\u0131l olu\u015fturulur<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"