{"id":123,"date":"2021-11-25T19:48:37","date_gmt":"2021-11-25T22:48:37","guid":{"rendered":"https:\/\/datasprints.com\/en\/exploratory-data-analysis\/"},"modified":"2021-11-26T12:49:48","modified_gmt":"2021-11-26T15:49:48","slug":"exploratory-data-analysis","status":"publish","type":"page","link":"https:\/\/datasprints.com\/en\/exploratory-data-analysis\/","title":{"rendered":"EXPLORATORY DATA ANALYSIS"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"123\" class=\"elementor elementor-123\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5d2b709f elementor-section-stretched elementor-section-height-full elementor-section-boxed elementor-section-height-default elementor-section-items-middle\" data-id=\"5d2b709f\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-459c55bb\" data-id=\"459c55bb\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7db1ff07 elementor-widget elementor-widget-heading\" data-id=\"7db1ff07\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">EXPLORATORY DATA ANALYSIS (EDA)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-63f29872 elementor-widget elementor-widget-text-editor\" data-id=\"63f29872\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Through EDAs (Exploratory Data Analysis), we promote an in-depth investigation of the client company&#8217;s Data to find patterns, detect anomalies, and perform a thorough analysis of the stored information to subsequently arrive at an optimization of the Data source storage and collection.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-33b54739 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"33b54739\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/datasprints.com\/en\/contact\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">CONTACT US<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>EXPLORATORY DATA ANALYSIS (EDA) Through EDAs (Exploratory Data Analysis), we promote an in-depth investigation of the client company&#8217;s Data to find patterns, detect anomalies, and perform a thorough analysis of the stored information to subsequently arrive at an optimization of the Data source storage and collection. CONTACT US<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","footnotes":""},"class_list":["post-123","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>EXPLORATORY DATA ANALYSIS - Datasprints<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"EXPLORATORY DATA ANALYSIS - Datasprints\" \/>\n<meta property=\"og:description\" content=\"EXPLORATORY DATA ANALYSIS (EDA) Through EDAs (Exploratory Data Analysis), we promote an in-depth investigation of the client company&#8217;s Data to find patterns, detect anomalies, and perform a thorough analysis of the stored information to subsequently arrive at an optimization of the Data source storage and collection. 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