{"id":796452,"date":"2022-05-23T08:37:38","date_gmt":"2022-05-23T08:37:38","guid":{"rendered":"https:\/\/www.questionpro.com\/blog\/kesifsel-veri-analizi-veri-bilimi-uzerindeki-etkisi\/"},"modified":"2022-05-23T08:37:38","modified_gmt":"2022-05-23T08:37:38","slug":"kesifsel-veri-analizi-veri-bilimi-uzerindeki-etkisi","status":"publish","type":"post","link":"https:\/\/www.questionpro.com\/blog\/tr\/kesifsel-veri-analizi-veri-bilimi-uzerindeki-etkisi\/","title":{"rendered":"Ke\u015fifsel veri analizi: Veri Bilimi \u00dczerindeki Etkisi"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Amerikal\u0131 matematik\u00e7i John Tukey ilk olarak 1970&#8217;lerde Ke\u015fifsel Veri Analizini (KVA) geli\u015ftirmi\u015ftir. G\u00fcn\u00fcm\u00fczde de EDA teknikleri veri ke\u015fif s\u00fcrecinde yayg\u0131n olarak kullan\u0131lan bir y\u00f6ntem olmaya devam etmektedir. EDA, resmi modelleme veya hipotez testinin \u00f6tesinde, Veri seti de\u011fi\u015fkenlerinin ve bunlar\u0131n ili\u015fkilerinin daha iyi anla\u015f\u0131lmas\u0131 i\u00e7in geni\u015f bir kap\u0131 a\u00e7ar. Ayr\u0131ca, veri analizi i\u00e7in d\u00fc\u015f\u00fcn\u00fclen \u0130statistiksel Tekni\u011fin uygun olup olmad\u0131\u011f\u0131n\u0131n belirlenmesine de yard\u0131mc\u0131 olur.<\/span><\/p>\n<h2><b>Ke\u015fifsel veri analizi nedir?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Ke\u015fifsel Veri Analizi (KVA), Veri Bilimcileri taraf\u0131ndan Veri setlerini analiz ederken ve ara\u015ft\u0131r\u0131rken, verilerin temel \u00f6zelliklerini g\u00f6rselle\u015ftirme y\u00f6ntemine \u00f6zetlemek i\u00e7in yayg\u0131n olarak kullan\u0131lmaktad\u0131r. Veri Bilimcinin Veri Kal\u0131plar\u0131n\u0131 ke\u015ffetmesine, anormallikleri tespit etmesine, hipotez testi yapmas\u0131na ve varsay\u0131mda bulunmas\u0131na yard\u0131mc\u0131 olur.  <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Yani basit bir \u015fekilde, Veri Bilimcinin hedef olarak ihtiya\u00e7 duyulan yan\u0131t\u0131 elde etmek i\u00e7in verilen veri kayna\u011f\u0131n\u0131 manip\u00fcle etmenin en iyi yollar\u0131n\u0131 belirlemesine yard\u0131mc\u0131 olan bir y\u00f6ntem olarak tan\u0131mlanabilir.<\/span><\/p>\n<h2><b>Ke\u015fifsel Veri Analizi Veri Bilimi i\u00e7in ne kadar \u00f6nemli<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">EDA&#8217;n\u0131n birincil amac\u0131, herhangi bir varsay\u0131mda bulunmadan \u00f6nce veri setine derinlemesine bakmaya yard\u0131mc\u0131 olmak, bariz hatalar\u0131 tespit etmek, veri setindeki kal\u0131plar\u0131 daha iyi anlamak, ayk\u0131r\u0131 de\u011ferleri ve\/veya anormal olaylar\u0131 bulmak ve son olarak de\u011fi\u015fkenler aras\u0131ndaki heyecan verici ili\u015fkileri ortaya \u00e7\u0131karmakt\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ke\u015fifsel Veri Analizi, Veri Bilimi alan\u0131ndaki Veri Analizi i\u00e7in son derece \u00f6nemlidir. \u0130lk olarak EDA, Veri bilimcilerin \u00fcretti\u011fi sonu\u00e7lar\u0131n ge\u00e7erli ve istenen hedeflere uygulanabilir olmas\u0131n\u0131 sa\u011flamak i\u00e7in kullan\u0131l\u0131r. \u0130kinci olarak, EDA payda\u015flar\u0131n her zaman do\u011fru sorular\u0131 sormalar\u0131n\u0131 sa\u011flamaya yard\u0131mc\u0131 olur. Ayr\u0131ca standart sapmalar, kategorik de\u011fi\u015fkenler ve g\u00fcven aral\u0131klar\u0131 ile ilgili sorular\u0131n yan\u0131tlanmas\u0131na da yard\u0131mc\u0131 olur. Son olarak, EDA tamamland\u0131\u011f\u0131nda ve i\u00e7g\u00f6r\u00fcler elde edildi\u011finde, \u00f6zellikleri makine \u00f6\u011frenimi de dahil olmak \u00fczere daha sofistike veri analizi veya modelleme i\u00e7in kullan\u0131labilir.<\/span><\/p>\n<h2><b>Ke\u015fifsel veri analizi T\u00fcrleri<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Ba\u015fl\u0131ca d\u00f6rt t\u00fcr EDA vard\u0131r:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>Tek de\u011fi\u015fkenli grafiksel olmayan:<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Tek De\u011fi\u015fkenli Grafik Olmayan veri analizinin en basit \u015feklidir. burada sadece bir de\u011fi\u015fkenden olu\u015fmaktad\u0131r. Tek bir de\u011fi\u015fken oldu\u011fundan, nedenler veya ili\u015fkilerle ilgilenmez. Bunun yerine, tek de\u011fi\u015fkenli <a href=\"https:\/\/www.questionpro.com\/blog\/thematic-analysis\/\">tematik analizin<\/a> birincil amac\u0131 verileri tan\u0131mlamak ve i\u00e7indeki \u00f6r\u00fcnt\u00fcleri bulmakt\u0131r.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>Tek de\u011fi\u015fkenli grafiksel<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Grafiksel olmayan y\u00f6ntemler verilerin tam bir resmini sunamaz. Bu nedenle burada grafiksel y\u00f6ntemler gereklidir. Yayg\u0131n tek de\u011fi\u015fkenli grafik t\u00fcrleri \u015funlard\u0131r:  <\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>K\u00f6k ve yaprak grafikleri:<\/strong> Bunlar t\u00fcm veri de\u011ferlerini ve da\u011f\u0131l\u0131m\u0131n \u015feklini g\u00f6sterir.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Histogramlar bir<\/strong> \u00e7ubuk <strong>grafi\u011fi:<\/strong> her \u00e7ubu\u011fun bir de\u011fer aral\u0131\u011f\u0131 i\u00e7in vakalar\u0131n s\u0131kl\u0131\u011f\u0131n\u0131 (say\u0131m) veya oran\u0131n\u0131 (say\u0131m\/toplam say\u0131m) temsil etti\u011fi grafik.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><strong>Kutu<\/strong> grafikleri<strong>:<\/strong> minimum, ilk \u00e7eyrek, medyan, \u00fc\u00e7\u00fcnc\u00fc \u00e7eyrek ve maksimumun be\u015f rakaml\u0131 \u00f6zetini grafiksel olarak g\u00f6sterir.<\/span><\/li>\n<\/ol>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>\u00c7ok de\u011fi\u015fkenli grafiksel olmayan<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">\u00c7ok de\u011fi\u015fkenli veriler birden fazla de\u011fi\u015fkenden ortaya \u00e7\u0131kar. Genel olarak, \u00e7ok de\u011fi\u015fkenli grafiksel olmayan EDA teknikleri, \u00e7apraz tablolama veya istatistik yoluyla iki veya daha fazla veri de\u011fi\u015fkeni aras\u0131ndaki ili\u015fkiyi g\u00f6sterir.<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<h3><b>\u00c7ok de\u011fi\u015fkenli grafik<\/b><\/h3>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">\u00c7ok de\u011fi\u015fkenli veriler, iki veya daha fazla Veri K\u00fcmesi aras\u0131ndaki ili\u015fkileri g\u00f6r\u00fcnt\u00fclerken grafikleri kullan\u0131r. En \u00e7ok kullan\u0131lan grafik, her bir grubun de\u011fi\u015fkenlerden birinin bir seviyesini temsil etti\u011fi ve bir grup i\u00e7indeki her bir \u00e7ubu\u011fun di\u011fer de\u011fi\u015fkenin seviyelerini temsil etti\u011fi grupland\u0131r\u0131lm\u0131\u015f bir \u00e7ubuk grafi\u011fi veya \u00e7ubuk grafi\u011fidir.<\/span><\/p>\n<p><b>Di\u011fer yayg\u0131n \u00e7ok de\u011fi\u015fkenli grafik t\u00fcrleri \u015funlard\u0131r:<\/b><\/p>\n<ul>\n<li><b>Da\u011f\u0131l\u0131m grafi\u011fi: <\/b><span style=\"font-weight: 400;\">Bir de\u011fi\u015fkenin di\u011ferinden ne kadar etkilendi\u011fini g\u00f6stermek i\u00e7in veri noktalar\u0131n\u0131 yatay ve dikey bir eksende \u00e7izmek i\u00e7in kullan\u0131l\u0131r.<\/span><\/li>\n<li><b>\u00c7ok de\u011fi\u015fkenli grafik: <\/b><span style=\"font-weight: 400;\">Fakt\u00f6rler ve yan\u0131t aras\u0131ndaki ili\u015fkilerin grafiksel bir g\u00f6sterimidir.<\/span><\/li>\n<li><b>\u00c7al\u0131\u015fma grafi\u011fi:<\/b><span style=\"font-weight: 400;\"> <\/span><span style=\"font-weight: 400;\">Zaman i\u00e7inde \u00e7izilen verilerin \u00e7izgi grafi\u011fidir.<\/span><\/li>\n<li><b>Kabarc\u0131k grafi\u011fi: <\/b><span style=\"font-weight: 400;\">\u0130ki boyutlu bir grafikte birden fazla daire (baloncuk) g\u00f6r\u00fcnt\u00fcleyen bir veri g\u00f6rselle\u015ftirmesidir.<\/span><\/li>\n<li><b>Is\u0131 haritas\u0131: <\/b><span style=\"font-weight: 400;\">De\u011ferlerin renklerle g\u00f6sterildi\u011fi verilerin grafiksel bir temsilidir.<\/span><\/li>\n<\/ul>\n<h2><b>Ke\u015fifsel veri analizi Ara\u00e7lar\u0131<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Ke\u015fifsel veri analizi i\u00e7in bir\u00e7ok ara\u00e7 mevcuttur. En pop\u00fcler olanlardan baz\u0131lar\u0131 R, Python ve SAS&#8217;t\u0131r. Bununla birlikte, her birinin g\u00fc\u00e7l\u00fc ve zay\u0131f y\u00f6nleri vard\u0131r, bu nedenle i\u015f i\u00e7in do\u011fru arac\u0131 se\u00e7mek \u00e7ok \u00f6nemlidir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">R, verileri g\u00f6rselle\u015ftirmek i\u00e7in m\u00fckemmel bir ara\u00e7t\u0131r. Verileri ke\u015ffetmek i\u00e7in kullan\u0131labilecek \u00e7ok \u00e7e\u015fitli grafik ve \u00e7izelgelere sahiptir. Ayr\u0131ca daha geli\u015fmi\u015f analizler yapmak i\u00e7in kullan\u0131labilecek bir\u00e7ok istatistiksel fonksiyona sahiptir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Python, EDA i\u00e7in bir ba\u015fka harika ara\u00e7t\u0131r. R ile ayn\u0131 \u00f6zelliklerin \u00e7o\u011funa sahiptir, ancak ayn\u0131 zamanda daha kullan\u0131c\u0131 dostudur. Sonu\u00e7 olarak Python, veri analizine ba\u015flamak isteyen yeni ba\u015flayanlar i\u00e7in m\u00fckemmel bir se\u00e7imdir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">SAS, EDA i\u00e7in kullan\u0131labilecek g\u00fc\u00e7l\u00fc bir istatistiksel yaz\u0131l\u0131m paketidir. SAS, R ve Python&#8217;dan daha pahal\u0131d\u0131r, ancak daha karma\u015f\u0131k hesaplamalar yapman\u0131z gerekiyorsa yat\u0131r\u0131m yapmaya de\u011fer.<\/span><\/p>\n<h2><b>QuestionPro ve<\/b> <b>ke\u015ffedici veri analizi<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Verilerinizi her zaman farkl\u0131 bir veri kayna\u011f\u0131ndan alabilirsiniz ve QuestionPro, anket verilerini birden fazla kanaldan toplaman\u0131za kesinlikle yard\u0131mc\u0131 olabilir. Ancak halihaz\u0131rda toplanm\u0131\u015f olan verilerin \u00f6tesine ge\u00e7mek istedi\u011finizde ne olur? Ke\u015fifsel veri analizi bu noktada devreye girer.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">QuestionPro&#8217;nun yerle\u015fik analiz ara\u00e7lar\u0131 EDA ile \u00e7al\u0131\u015fmaya ba\u015flamay\u0131 kolayla\u015ft\u0131r\u0131r. Verileriniz i\u00e7in \u00f6zet istatistikleri h\u0131zl\u0131 bir \u015fekilde g\u00f6rebilir, etkile\u015fimli g\u00f6rselle\u015ftirmeler olu\u015fturabilir ve daha fazlas\u0131n\u0131 yapabilirsiniz. Ve QuestionPro R ile entegre oldu\u011fu i\u00e7in, R&#8217;nin sundu\u011fu t\u00fcm g\u00fc\u00e7l\u00fc istatistiksel ara\u00e7lar\u0131 kullanabilirsiniz.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dolay\u0131s\u0131yla, veri analizinizi bir sonraki seviyeye ta\u015f\u0131maya haz\u0131rsan\u0131z, QuestionPro m\u00fckemmel ara\u00e7lardan biridir.<\/span><\/p>\n<h2><b>Sonu\u00e7<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Son olarak, ke\u015fifsel veri analizinin Veri Bilimcilerin karma\u015f\u0131k veri k\u00fcmelerini anlamland\u0131rmalar\u0131na yard\u0131mc\u0131 olabilecek kan\u0131tlanm\u0131\u015f bir metodoloji oldu\u011funu s\u00f6yleyebiliriz. G\u00f6rselle\u015ftirmeler ve di\u011fer y\u00f6ntemleri kullanarak, ba\u015fka t\u00fcrl\u00fc bulamayaca\u011f\u0131n\u0131z kal\u0131plar\u0131 ve ili\u015fkileri ortaya \u00e7\u0131karabilirsiniz.  <\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu nedenle, EDA herhangi bir veri analizinin \u00f6nemli bir par\u00e7as\u0131d\u0131r ve bu makalenin size konuya harika bir giri\u015f yapt\u0131\u011f\u0131n\u0131 umuyoruz.<\/span><\/p>\n<h3 style=\"text-align: center;\"><span style=\"font-weight: 400;\">QuestionPro ve Ke\u015fifsel Veri Analizi hakk\u0131nda daha fazla bilgi edinmek i\u00e7in <\/span><a href=\"https:\/\/www.questionpro.com\"><br \/>\n  <span style=\"font-weight: 400;\">Questionpro.com<\/span><br \/>\n<\/a><\/h3>\n<p>&nbsp;<\/p>\n<p><strong>Yazarlar<\/strong> Md Assalatuzzaman &amp; Mizanul Islam<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Amerikal\u0131 matematik\u00e7i John Tukey ilk olarak 1970&#8217;lerde Ke\u015fifsel Veri Analizini (KVA) geli\u015ftirmi\u015ftir. G\u00fcn\u00fcm\u00fczde de EDA teknikleri veri ke\u015fif s\u00fcrecinde yayg\u0131n [&hellip;]<\/p>\n","protected":false},"author":80,"featured_media":710877,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[1114],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Ke\u015fifsel veri analizi: Veri Bilimi \u00dczerindeki Etkisi | QuestionPro<\/title>\n<meta name=\"description\" content=\"Ke\u015fifsel veri analizi, Veri Bilimcinin hedef olarak ihtiya\u00e7 duyulan cevab\u0131 elde etmek i\u00e7in en iyi yollar\u0131 belirlemesine yard\u0131mc\u0131 olan bir y\u00f6ntemdir.\" \/>\n<meta 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