<\/p>\n
Ad\u0131n\u0131 \u0130talyan istatistik\u00e7i Corrado Gini’den<\/a> alan Gini katsay\u0131s\u0131<\/strong> , bir n\u00fcfusun gelir da\u011f\u0131l\u0131m\u0131n\u0131 \u00f6l\u00e7menin bir yoludur.<\/span><\/p>\n Gini katsay\u0131s\u0131n\u0131n de\u011feri 0 ila 1 aras\u0131nda de\u011fi\u015fir; burada daha y\u00fcksek de\u011ferler daha b\u00fcy\u00fck gelir e\u015fitsizli\u011fini temsil eder ve burada:<\/span><\/p>\n \u00dclkelere g\u00f6re Gini katsay\u0131lar\u0131n\u0131n bir listesini burada<\/a> bulabilirsiniz.<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnek Python’da bir Gini katsay\u0131s\u0131n\u0131n nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir.<\/span><\/p>\n Python’da bir Gini katsay\u0131s\u0131n\u0131 hesaplamak i\u00e7in \u00f6ncelikle bir dizi NumPy de\u011feri i\u00e7in Gini katsay\u0131s\u0131n\u0131 hesaplayacak basit bir fonksiyon tan\u0131mlamam\u0131z gerekir:<\/span><\/p>\n Daha sonra bu fonksiyonu, gelir de\u011ferleri tablosu i\u00e7in Gini katsay\u0131s\u0131n\u0131 hesaplamak i\u00e7in kullanaca\u011f\u0131z.<\/span><\/p>\n \u00d6rne\u011fin 10 ki\u015finin y\u0131ll\u0131k gelirinin a\u015fa\u011f\u0131daki listeye sahip oldu\u011funu varsayal\u0131m:<\/span><\/p>\n Gelir: 50.000 $, 50.000 $, 70.000 $, 70.000 $, 70.000 $, 90.000 $, 150.000 $, 150.000 $, 150.000 $, 150.000 $<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, bu pop\u00fclasyon i\u00e7in Gini katsay\u0131s\u0131n\u0131 hesaplamak \u00fczere az \u00f6nce olu\u015fturdu\u011fumuz gini()<\/strong> fonksiyonunun nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n Gini katsay\u0131s\u0131 0,226<\/strong> olarak \u00e7\u0131k\u0131yor.<\/span><\/p>\n Not<\/strong> : Ger\u00e7ek d\u00fcnya senaryosunda, belirli bir \u00fclkedeki bireylerin y\u00fczbinlerce farkl\u0131 geliri olacakt\u0131r, ancak bu \u00f6rnekte basit bir \u00f6rnek olarak 10 ki\u015fiyi kulland\u0131k.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde farkl\u0131 istatistiksel yaz\u0131l\u0131mlar kullan\u0131larak bir Gini katsay\u0131s\u0131n\u0131n nas\u0131l hesaplanaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n R’deki Gini katsay\u0131s\u0131 nas\u0131l hesaplan\u0131r?<\/a> Ad\u0131n\u0131 \u0130talyan istatistik\u00e7i Corrado Gini’den alan Gini katsay\u0131s\u0131 , bir n\u00fcfusun gelir da\u011f\u0131l\u0131m\u0131n\u0131 \u00f6l\u00e7menin bir yoludur. Gini katsay\u0131s\u0131n\u0131n de\u011feri 0 ila 1 aras\u0131nda de\u011fi\u015fir; burada daha y\u00fcksek de\u011ferler daha b\u00fcy\u00fck gelir e\u015fitsizli\u011fini temsil eder ve burada: 0 m\u00fckemmel gelir e\u015fitli\u011fini temsil eder (herkes ayn\u0131 gelire sahiptir) 1 tam gelir e\u015fitsizli\u011fini temsil eder (bir ki\u015fi t\u00fcm […]<\/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-3146","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n\n
\u00d6rnek: Python’da Gini katsay\u0131s\u0131n\u0131 hesaplay\u0131n<\/strong><\/span><\/h3>\n
import<\/span> numpy as<\/span> np\n\n#define function to calculate Gini coefficient\n<\/span>def<\/span> gini(x):\n total = 0\n for<\/span> i, xi in<\/span> enumerate(x[:-1], 1):\n total += np. sum<\/span> (np. abs<\/span> (xi - x[i:]))\n return<\/span> total \/ (len(x)**2 * np.mean<\/span> (x))<\/strong><\/span><\/pre>\n #define NumPy array of income values\nincome = np. array<\/span> ([50, 50, 70, 70, 70, 90, 150, 150, 150, 150])\n<\/span>\n#calculate Gini coefficient for array of incomes\ngini(incomes)\n\n0.226\n<\/span><\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Excel’de Gini katsay\u0131s\u0131 nas\u0131l hesaplan\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"