{"id":9787,"date":"2023-11-09T10:23:30","date_gmt":"2023-11-09T09:23:30","guid":{"rendered":"https:\/\/statistica.pro\/uncategorized\/comprehensive\/"},"modified":"2023-11-09T10:23:34","modified_gmt":"2023-11-09T09:23:34","slug":"comprehensive","status":"publish","type":"post","link":"https:\/\/statistica.pro\/en\/products\/comprehensive\/","title":{"rendered":"Comprehensive"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"9787\" class=\"elementor elementor-9787 elementor-1324\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6b85951 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6b85951\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-34c860f\" data-id=\"34c860f\" data-element_type=\"column\" data-e-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-9b3289c elementor-widget elementor-widget-text-editor\" data-id=\"9b3289c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">View Full Version <\/span><b>Comprehensive <\/b><span style=\"font-weight: 400;\">version of Statistica can be used primarily to analyze large (big data) datasets, create advanced predictive models and <\/span><b>real-time production monitoring<\/b><span style=\"font-weight: 400;\">. <\/span> <br \/><\/p>\n<p><span style=\"font-weight: 400;\">All this <\/span><b>in accordance with established industry standards<\/b><span style=\"font-weight: 400;\">. The package includes <\/span><b>a range of machine learning, AI and ETL tools<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The Comprehensive version will be used primarily by data scientists and analysts <\/span><b>for predicting and modelling the behaviour of variables under different conditions and importing the created models and processes into third-party applications<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The software is available in server form.<\/span><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-84384d7 e-flex e-con-boxed e-con e-parent\" data-id=\"84384d7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-15ba997 e-flex e-con-boxed e-con e-child\" data-id=\"15ba997\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-96c14e4 e-flex e-con-boxed e-con e-child\" data-id=\"96c14e4\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-23f6f14 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"23f6f14\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/statistica.pro\/en\/trial-version\/\">\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\">Try it free for 30 days<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-adb70e3 elementor-widget elementor-widget-text-editor\" data-id=\"adb70e3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><em>No need to enter payment details<\/em><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-04f1cb1 e-flex e-con-boxed e-con e-child\" data-id=\"04f1cb1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-790351a elementor-align-center elementor-widget elementor-widget-button\" data-id=\"790351a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"#analytickefunkce\">\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\">Overview of analytical functions<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b422188 e-flex e-con-boxed e-con e-parent\" data-id=\"b422188\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-ac729a0 e-flex e-con-boxed e-con e-child\" data-id=\"ac729a0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3bcb484 elementor-widget elementor-widget-heading\" data-id=\"3bcb484\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Import of data<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1b157b1 elementor-widget elementor-widget-text-editor\" data-id=\"1b157b1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Data Scientist <\/span><b>is fully compatible with xlsx (including xls), csv files<\/b><span style=\"font-weight: 400;\"> and with fixed-width data (e.g. in text files). It will allow you to:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>retrieve data from SQL, NoSQL and other databases<\/b><span style=\"font-weight: 400;\">,<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">via integrated PI connector <\/span><b>retrieve data from OSIsoft PI system <\/b><span style=\"font-weight: 400;\">(a popular solution for operational data management),<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">import Spotfire SBDF data files,<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>integrate two or more data sets <\/b><span style=\"font-weight: 400;\">into one graphical environment and a series of outputs.<\/span><\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-daa325f e-flex e-con-boxed e-con e-child\" data-id=\"daa325f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bb0afef elementor-widget elementor-widget-gallery\" data-id=\"bb0afef\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;gallery_layout&quot;:&quot;justified&quot;,&quot;lazyload&quot;:&quot;yes&quot;,&quot;ideal_row_height&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:200,&quot;sizes&quot;:[]},&quot;ideal_row_height_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:150,&quot;sizes&quot;:[]},&quot;ideal_row_height_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:150,&quot;sizes&quot;:[]},&quot;gap&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;gap_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;gap_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;link_to&quot;:&quot;file&quot;,&quot;overlay_background&quot;:&quot;yes&quot;,&quot;content_hover_animation&quot;:&quot;fade-in&quot;}\" data-widget_type=\"gallery.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-gallery__container\">\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Query-Builder.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"bb0afef\" data-elementor-lightbox-title=\"Query Builder\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM4OCwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvUXVlcnktQnVpbGRlci5wbmciLCJzbGlkZXNob3ciOiJiYjBhZmVmIn0%3D\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Query-Builder-768x507.png\" data-width=\"768\" data-height=\"507\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/External-data.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"bb0afef\" data-elementor-lightbox-title=\"External data\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM4MSwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvRXh0ZXJuYWwtZGF0YS5wbmciLCJzbGlkZXNob3ciOiJiYjBhZmVmIn0%3D\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/External-data.png\" data-width=\"482\" data-height=\"358\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Import-Excel.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"bb0afef\" data-elementor-lightbox-title=\"Import Excel\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM4NCwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvSW1wb3J0LUV4Y2VsLnBuZyIsInNsaWRlc2hvdyI6ImJiMGFmZWYifQ%3D%3D\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Import-Excel-768x329.png\" data-width=\"768\" data-height=\"329\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1eab4cf e-flex e-con-boxed e-con e-parent\" data-id=\"1eab4cf\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-78f2d9b e-flex e-con-boxed e-con e-child\" data-id=\"78f2d9b\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5f0f997 elementor-widget elementor-widget-gallery\" data-id=\"5f0f997\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;columns&quot;:2,&quot;lazyload&quot;:&quot;yes&quot;,&quot;gallery_layout&quot;:&quot;grid&quot;,&quot;columns_tablet&quot;:2,&quot;columns_mobile&quot;:1,&quot;gap&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;gap_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;gap_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;link_to&quot;:&quot;file&quot;,&quot;aspect_ratio&quot;:&quot;3:2&quot;,&quot;overlay_background&quot;:&quot;yes&quot;,&quot;content_hover_animation&quot;:&quot;fade-in&quot;}\" data-widget_type=\"gallery.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-gallery__container\">\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Data_Health_Check.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"5f0f997\" data-elementor-lightbox-title=\"Data_Health_Check\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM5MiwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvRGF0YV9IZWFsdGhfQ2hlY2sucG5nIiwic2xpZGVzaG93IjoiNWYwZjk5NyJ9\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Data_Health_Check.png\" data-width=\"830\" data-height=\"324\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Data_Health_Check_setup.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"5f0f997\" data-elementor-lightbox-title=\"Data_Health_Check_setup\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM5MSwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvRGF0YV9IZWFsdGhfQ2hlY2tfc2V0dXAucG5nIiwic2xpZGVzaG93IjoiNWYwZjk5NyJ9\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Data_Health_Check_setup.png\" data-width=\"700\" data-height=\"522\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Import-Excel.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"5f0f997\" data-elementor-lightbox-title=\"Import Excel\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM4NCwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvSW1wb3J0LUV4Y2VsLnBuZyIsInNsaWRlc2hvdyI6IjVmMGY5OTcifQ%3D%3D\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Import-Excel.png\" data-width=\"910\" data-height=\"390\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Data_transformation.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"5f0f997\" data-elementor-lightbox-title=\"Data_transformation\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM3OSwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvRGF0YV90cmFuc2Zvcm1hdGlvbi5wbmciLCJzbGlkZXNob3ciOiI1ZjBmOTk3In0%3D\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Data_transformation-1024x495.png\" data-width=\"1024\" data-height=\"495\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7421ed1 e-flex e-con-boxed e-con e-child\" data-id=\"7421ed1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8a64ed4 elementor-widget elementor-widget-heading\" data-id=\"8a64ed4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Data preparation<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-70a01b1 elementor-widget elementor-widget-text-editor\" data-id=\"70a01b1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Data Scientist offers <\/span><b>automated data cleansing <\/b><span style=\"font-weight: 400;\">of duplicate, inconsistent and outlying values (or their recoding) using the so-called<\/span> <b><i>Data Health Check<\/i><\/b><span style=\"font-weight: 400;\"> (DHC) function.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For advanced data transformation, the tool <\/span><b><i>Rules Builder<\/i><\/b><span style=\"font-weight: 400;\">which allows you to process data from different sources according to complex rules (even using conditional expressions).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For easier processing, bring your data closer to a normal layout by using the built-in <\/span><b>Box-Cox transformation<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-883568e e-flex e-con-boxed e-con e-parent\" data-id=\"883568e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-694ec12 e-flex e-con-boxed e-con e-child\" data-id=\"694ec12\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c53cb44 elementor-widget elementor-widget-heading\" data-id=\"c53cb44\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Data evaluation <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f88a8ea elementor-widget elementor-widget-text-editor\" data-id=\"f88a8ea\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In Data Scientist, you can evaluate measured data (including big data files), including. with the help of: <\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">classical methods <\/span><b>descriptive, parametric and non-parametric statistics<\/b><span style=\"font-weight: 400;\">,<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">exploratory analysis and visualization,<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>multivariate statistical methods <\/b><span style=\"font-weight: 400;\">for data organization and classification,<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">advanced linear and non-linear models,<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>estimation of many variance components and accuracy <\/b><span style=\"font-weight: 400;\">in the data sets (<\/span><i><span style=\"font-weight: 400;\">Variance Estimation and Precision<\/span><\/i><span style=\"font-weight: 400;\">).<\/span><\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2d13342 e-flex e-con-boxed e-con e-child\" data-id=\"2d13342\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a53d58e elementor-widget elementor-widget-gallery\" data-id=\"a53d58e\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;gallery_layout&quot;:&quot;justified&quot;,&quot;lazyload&quot;:&quot;yes&quot;,&quot;ideal_row_height&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:200,&quot;sizes&quot;:[]},&quot;ideal_row_height_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:150,&quot;sizes&quot;:[]},&quot;ideal_row_height_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:150,&quot;sizes&quot;:[]},&quot;gap&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;gap_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;gap_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;link_to&quot;:&quot;file&quot;,&quot;overlay_background&quot;:&quot;yes&quot;,&quot;content_hover_animation&quot;:&quot;fade-in&quot;}\" data-widget_type=\"gallery.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-gallery__container\">\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Frequency_tables.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"a53d58e\" data-elementor-lightbox-title=\"Frequency_tables\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM4MiwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvRnJlcXVlbmN5X3RhYmxlcy5wbmciLCJzbGlkZXNob3ciOiJhNTNkNThlIn0%3D\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Frequency_tables.png\" data-width=\"786\" data-height=\"458\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Multivariate_analysis.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"a53d58e\" data-elementor-lightbox-title=\"Multivariate_analysis\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM4NiwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvTXVsdGl2YXJpYXRlX2FuYWx5c2lzLnBuZyIsInNsaWRlc2hvdyI6ImE1M2Q1OGUifQ%3D%3D\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Multivariate_analysis-1024x957.png\" data-width=\"1024\" data-height=\"957\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/ANOVA.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"a53d58e\" data-elementor-lightbox-title=\"ANOVA\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM3NSwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvQU5PVkEucG5nIiwic2xpZGVzaG93IjoiYTUzZDU4ZSJ9\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/ANOVA.png\" data-width=\"824\" data-height=\"588\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Parreto-chart.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"a53d58e\" data-elementor-lightbox-title=\"Parreto chart\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM4NywidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvUGFycmV0by1jaGFydC5wbmciLCJzbGlkZXNob3ciOiJhNTNkNThlIn0%3D\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Parreto-chart.png\" data-width=\"528\" data-height=\"342\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f7b864f e-flex e-con-boxed e-con e-parent\" data-id=\"f7b864f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-da46451 e-flex e-con-boxed e-con e-child\" data-id=\"da46451\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3388aa3 elementor-widget elementor-widget-image\" data-id=\"3388aa3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"812\" height=\"682\" src=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Exponential_Smoothing_Forecastinh.png\" class=\"attachment-large size-large wp-image-9140\" alt=\"\" srcset=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Exponential_Smoothing_Forecastinh.png 812w, https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Exponential_Smoothing_Forecastinh-300x252.png 300w, https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Exponential_Smoothing_Forecastinh-768x645.png 768w\" sizes=\"(max-width: 812px) 100vw, 812px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c44d725 e-flex e-con-boxed e-con e-child\" data-id=\"c44d725\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ce6b547 elementor-widget elementor-widget-heading\" data-id=\"ce6b547\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Predictive modelling<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fe0dd5e elementor-widget elementor-widget-text-editor\" data-id=\"fe0dd5e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Use data mining, text mining and neural network tools to create <\/span><b>models of the behaviour of the observed variables in different situations<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Models can be <\/span><b>generate in C, C++, C#, Java, PMML, SAS and SQL <\/b><span style=\"font-weight: 400;\">and can be further modified as required.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Data Scientist offers e.g. also the function of decision trees and random forests and the possibility  <\/span><b>optimization of predictors<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ce4f07f e-flex e-con-boxed e-con e-parent\" data-id=\"ce4f07f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-d73483c e-flex e-con-boxed e-con e-child\" data-id=\"d73483c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d04f1bd elementor-widget elementor-widget-heading\" data-id=\"d04f1bd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Real-time industrial analytics<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ab0f2ba elementor-widget elementor-widget-text-editor\" data-id=\"ab0f2ba\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">The main advantage of Comprehensive is <\/span><b>real-time monitoring of production quality <\/b><span style=\"font-weight: 400;\">through product traceability functions (<\/span><i><span style=\"font-weight: 400;\">Product Traceability<\/span><\/i><span style=\"font-weight: 400;\">) and stability and lifetime analysis (<\/span><i><span style=\"font-weight: 400;\">Stability and Shelf Life Analysis<\/span><\/i><span style=\"font-weight: 400;\">).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">All of these processes are carried out in accordance with established industry standards of production.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The Comprehensive version is TIBCO ISO 9001 certified. Its  <\/span><b>outputs you can use in validated GxP applications <\/b><span style=\"font-weight: 400;\">and to support FDA CFR Part 11 (or equivalent international ICH guidelines).<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-02fdaee e-flex e-con-boxed e-con e-child\" data-id=\"02fdaee\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5cacaba elementor-widget elementor-widget-image\" data-id=\"5cacaba\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/XR_Diagram.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"XR_Diagram\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6OTEzMywidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvWFJfRGlhZ3JhbS5wbmcifQ%3D%3D\">\n\t\t\t\t\t\t\t<img decoding=\"async\" width=\"768\" height=\"577\" src=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/XR_Diagram-768x577.png\" class=\"attachment-medium_large size-medium_large wp-image-9133\" alt=\"\" srcset=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/XR_Diagram-768x577.png 768w, https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/XR_Diagram-300x225.png 300w, https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/XR_Diagram-1024x769.png 1024w, https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/XR_Diagram.png 1071w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9845958 e-flex e-con-boxed e-con e-parent\" data-id=\"9845958\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-a5af84c e-flex e-con-boxed e-con e-child\" data-id=\"a5af84c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d8fa4ce elementor-widget elementor-widget-gallery\" data-id=\"d8fa4ce\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;gallery_layout&quot;:&quot;justified&quot;,&quot;lazyload&quot;:&quot;yes&quot;,&quot;ideal_row_height&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:200,&quot;sizes&quot;:[]},&quot;ideal_row_height_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:150,&quot;sizes&quot;:[]},&quot;ideal_row_height_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:150,&quot;sizes&quot;:[]},&quot;gap&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;gap_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;gap_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;link_to&quot;:&quot;file&quot;,&quot;overlay_background&quot;:&quot;yes&quot;,&quot;content_hover_animation&quot;:&quot;fade-in&quot;}\" data-widget_type=\"gallery.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-gallery__container\">\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Workspace_modeling_SANN.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"d8fa4ce\" data-elementor-lightbox-title=\"Workspace_modeling_SANN\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM4OSwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvV29ya3NwYWNlX21vZGVsaW5nX1NBTk4ucG5nIiwic2xpZGVzaG93IjoiZDhmYTRjZSJ9\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Workspace_modeling_SANN.png\" data-width=\"908\" data-height=\"318\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Big-Data.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"d8fa4ce\" data-elementor-lightbox-title=\"Big Data\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM3NiwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvQmlnLURhdGEucG5nIiwic2xpZGVzaG93IjoiZDhmYTRjZSJ9\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Big-Data.png\" data-width=\"876\" data-height=\"492\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-c101704 e-flex e-con-boxed e-con e-child\" data-id=\"c101704\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-edef7ee elementor-widget elementor-widget-heading\" data-id=\"edef7ee\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Other features\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ab44bce elementor-widget elementor-widget-text-editor\" data-id=\"ab44bce\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Statistica in this version also offers the possibility to program <\/span><b>custom scripts in R, Python or C#<\/b><span style=\"font-weight: 400;\">. The Comprehensive package can also be used for e.g. for: <\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>understanding the key parameters affecting critical quality attributes <\/b><span style=\"font-weight: 400;\">(process analysis, quality control and multivariate statistical process control functions),<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>design of experiments <\/b><span style=\"font-weight: 400;\">and their virtual execution (design of experiments function &#8211; <\/span><i><span style=\"font-weight: 400;\">Design of Experiments<\/span><\/i><span style=\"font-weight: 400;\">, test power analysis &#8211; <\/span><i><span style=\"font-weight: 400;\">Power Analysis<\/span><\/i><span style=\"font-weight: 400;\"> and interval estimation &#8211; <\/span><i><span style=\"font-weight: 400;\">Interval Estimation<\/span><\/i><span style=\"font-weight: 400;\">),<\/span><\/li>\n<\/ul>\n<p><b>deployment of developed processes and models into third-party applications <\/b><span style=\"font-weight: 400;\">(with autonomous functionality independent of TIBCO Statistica).<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cd94021 elementor-widget elementor-widget-gallery\" data-id=\"cd94021\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;gallery_layout&quot;:&quot;justified&quot;,&quot;lazyload&quot;:&quot;yes&quot;,&quot;ideal_row_height&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:200,&quot;sizes&quot;:[]},&quot;ideal_row_height_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:150,&quot;sizes&quot;:[]},&quot;ideal_row_height_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:150,&quot;sizes&quot;:[]},&quot;gap&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;gap_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;gap_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;link_to&quot;:&quot;file&quot;,&quot;overlay_background&quot;:&quot;yes&quot;,&quot;content_hover_animation&quot;:&quot;fade-in&quot;}\" data-widget_type=\"gallery.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-gallery__container\">\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Graphs.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"cd94021\" data-elementor-lightbox-title=\"Graphs\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM4MywidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvR3JhcGhzLnBuZyIsInNsaWRlc2hvdyI6ImNkOTQwMjEifQ%3D%3D\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Graphs-1024x630.png\" data-width=\"1024\" data-height=\"630\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Box_plot.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"cd94021\" data-elementor-lightbox-title=\"Box_plot\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM3NywidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvQm94X3Bsb3QucG5nIiwic2xpZGVzaG93IjoiY2Q5NDAyMSJ9\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Box_plot.png\" data-width=\"568\" data-height=\"420\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Matrix_Plot.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"cd94021\" data-elementor-lightbox-title=\"Matrix_Plot\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM4NSwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvTWF0cml4X1Bsb3QucG5nIiwic2xpZGVzaG93IjoiY2Q5NDAyMSJ9\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Matrix_Plot.png\" data-width=\"552\" data-height=\"412\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Histogram_menu_dialog.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"cd94021\" data-elementor-lightbox-title=\"Histogram_menu_dialog\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM3NCwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvSGlzdG9ncmFtX21lbnVfZGlhbG9nLnBuZyIsInNsaWRlc2hvdyI6ImNkOTQwMjEifQ%3D%3D\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Histogram_menu_dialog.png\" data-width=\"572\" data-height=\"364\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6d4895d e-flex e-con-boxed e-con e-parent\" data-id=\"6d4895d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-4e376de e-flex e-con-boxed e-con e-child\" data-id=\"4e376de\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e3bca17 elementor-widget elementor-widget-heading\" data-id=\"e3bca17\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Visualisation and outputs\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dd280c1 elementor-widget elementor-widget-text-editor\" data-id=\"dd280c1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">In Comprehensive you can see the distribution of the acquired data and the results among others in histogram, line, box, point, scatter and quantile plots and more  <\/span><b>frequently used 2D and 3D imaging methods<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The results obtained can <\/span><b>export <\/b> <span style=\"font-weight: 400;\">e.g. in the form of: <\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<p><span style=\"font-weight: 400;\">simple and advanced reports,<\/span><\/p>\n<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<p><span style=\"font-weight: 400;\">entry into different types of databases,<\/span><\/p>\n<\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\">\n<p><span style=\"font-weight: 400;\">MS Word (docx), MS Excel (xlsx) and text files (csv) or pdf.<\/span><\/p>\n<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f2e30ff e-flex e-con-boxed e-con e-child\" data-id=\"f2e30ff\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9797388 elementor-widget elementor-widget-gallery\" data-id=\"9797388\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;gallery_layout&quot;:&quot;justified&quot;,&quot;lazyload&quot;:&quot;yes&quot;,&quot;ideal_row_height&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:200,&quot;sizes&quot;:[]},&quot;ideal_row_height_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:150,&quot;sizes&quot;:[]},&quot;ideal_row_height_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:150,&quot;sizes&quot;:[]},&quot;gap&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;gap_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;gap_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:10,&quot;sizes&quot;:[]},&quot;link_to&quot;:&quot;file&quot;,&quot;overlay_background&quot;:&quot;yes&quot;,&quot;content_hover_animation&quot;:&quot;fade-in&quot;}\" data-widget_type=\"gallery.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-gallery__container\">\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Graphs.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"9797388\" data-elementor-lightbox-title=\"Graphs\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM4MywidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvR3JhcGhzLnBuZyIsInNsaWRlc2hvdyI6Ijk3OTczODgifQ%3D%3D\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Graphs-1024x630.png\" data-width=\"1024\" data-height=\"630\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Box_plot.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"9797388\" data-elementor-lightbox-title=\"Box_plot\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM3NywidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvQm94X3Bsb3QucG5nIiwic2xpZGVzaG93IjoiOTc5NzM4OCJ9\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Box_plot.png\" data-width=\"568\" data-height=\"420\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Matrix_Plot.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"9797388\" data-elementor-lightbox-title=\"Matrix_Plot\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM4NSwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvTWF0cml4X1Bsb3QucG5nIiwic2xpZGVzaG93IjoiOTc5NzM4OCJ9\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Matrix_Plot.png\" data-width=\"552\" data-height=\"412\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<a class=\"e-gallery-item elementor-gallery-item elementor-animated-content\" href=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Histogram_menu_dialog.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-slideshow=\"9797388\" data-elementor-lightbox-title=\"Histogram_menu_dialog\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6NzM3NCwidXJsIjoiaHR0cHM6XC9cL3N0YXRpc3RpY2EucHJvXC93cC1jb250ZW50XC91cGxvYWRzXC8yMDE4XC8wNFwvSGlzdG9ncmFtX21lbnVfZGlhbG9nLnBuZyIsInNsaWRlc2hvdyI6Ijk3OTczODgifQ%3D%3D\">\n\t\t\t\t\t<div class=\"e-gallery-image elementor-gallery-item__image\" data-thumbnail=\"https:\/\/statistica.pro\/wp-content\/uploads\/2018\/04\/Histogram_menu_dialog.png\" data-width=\"572\" data-height=\"364\" aria-label=\"\" role=\"img\" ><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-gallery-item__overlay\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\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<div class=\"elementor-element elementor-element-c7a5920 e-flex e-con-boxed e-con e-parent\" data-id=\"c7a5920\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b4d07cf elementor-widget elementor-widget-toggle\" data-id=\"b4d07cf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<h3 id=\"elementor-tab-title-1891\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1891\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Overview of analytical functions<\/a>\n\t\t\t\t\t<\/h3>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1891\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1891\"><ul>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/statistica-anova-manova\"><span data-contrast=\"none\">ANOVA\/MANOVA<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-association-rules\"><span data-contrast=\"none\">Association Rules<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-automated-neural-networks\"><span data-contrast=\"none\">Automated Neural Networks<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-boosted-tree\"><span data-contrast=\"none\">Boosted Tree<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-calculators\"><span data-contrast=\"none\">Calculators; Distributions, Pearson Product Moment Correlation Coefficient, Six Sigma<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-canonical-analysis\"><span data-contrast=\"none\">Canonical Analysis<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-classification-trees\"><span data-contrast=\"none\">Classification Trees<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-cluster-analysis\"><span data-contrast=\"none\">Cluster Analysis<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-correlation\"><span data-contrast=\"none\">Correlation<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-correspondence-analysis\"><span data-contrast=\"none\">Correspondence Analysis<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-cox-proportional-hazards-models\"><span data-contrast=\"none\">Cox Proportional Hazards Models<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Data Miner Recipes<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-descriptive-statistics\"><span data-contrast=\"none\">Descriptive Statistics<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-design-experiments\"><span data-contrast=\"none\">Design of Experiments (DOE)<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-discriminant-function-analysis\"><span data-contrast=\"none\">Discriminant Function Analysis<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-distribution-fitting\"><span data-contrast=\"none\">Distribution Fitting<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-distributions-simulation\"><span data-contrast=\"none\">Distributions &amp; Simulation<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/statistica-dynamic-time-warping\"><span data-contrast=\"none\">Dynamic Time Warping<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-extract-transform-and-load\"><span data-contrast=\"none\">Extract, Transform, and Load<\/span><\/a><span data-contrast=\"none\">(analytics are used to align time based data)<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statisticatm-factor-analysis\"><span data-contrast=\"none\">Factor Analysis<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Faster Independent Component Analysis<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Feature Selection<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-fixed-nonlinear-regression\"><span data-contrast=\"none\">Fixed Nonlinear Regression<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">General CHAID Models<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">General Classification and Regression Trees (C&amp;RT)<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-general-discriminant-analysis\"><span data-contrast=\"none\">General Discriminant Analysis (GDA)<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-general-linear-models\"><span data-contrast=\"none\">General Linear Models (GLM)<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-general-partial-least-squares-models\"><span data-contrast=\"none\">General Partial Least Squares Models (PLS)<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-general-regression-models\"><span data-contrast=\"none\">General Regression Models (GRM)<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Generalized Additive Models (GAM)<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-generalized-linear-nonlinear-models\"><span data-contrast=\"none\">Generalized Linear\/Nonlinear Models (GLZ)<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Generates Predictive Models in C, C++, C#, Java, PMML, SAS, SQL Stored Procedure in C#, SQL User Defined Function in C#, Statistica Visual Basic<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Goodness of Fit, Classification, Prediction<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Independent Component Analysis<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Interactive Tree (C&amp;RT, CHAID)<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Lasso Regression<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Link Analysis<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-log-linear-analysis-frequency-tables\"><span data-contrast=\"none\">Log-Linear Analysis of Frequency Tables<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Machine Learning (Bayesian, Support Vectors, K-Nearest)<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-multidimensional-scaling\"><span data-contrast=\"none\">Multidimensional Scaling (MDS)<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Multivariate Adaptive Regression Splines (MARSplines)<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-multiple-regression\"><span data-contrast=\"none\">Multiple Regression<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-nonlinear-estimation\"><span data-contrast=\"none\">Nonlinear Estimation<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-nonparametric-statistics\"><span data-contrast=\"none\">Nonparametric Statistics<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-power-analysis-and-interval-estimation\"><span data-contrast=\"none\">Power Analysis and Interval Estimation<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-multivariate-statistical-process-control\"><span data-contrast=\"none\">Multivariate Statistical Process Control<\/span> (<span data-contrast=\"none\">MSPC &#8211; PCA<\/span><span data-contrast=\"none\">\/PLS<\/span>)<\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Optimal Binning<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Predictor Screening<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-principal-components-classification-analysis\"><span data-contrast=\"none\">Principal Components &amp; Classification Analysis (PCCA)<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-process-analysis\"><span data-contrast=\"none\">Process Analysis<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Process Optimization<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-quality-control-charts\"><span data-contrast=\"none\">Quality Control Charts<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Random Forests<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Rapid Deployment of Predictive Models (PMML)<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-reliability-and-item-analysis\"><span data-contrast=\"none\">Reliability and Item Analysis<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Sequence and Link Analysis<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-stability-analysis\"><span data-contrast=\"none\">Stability and Shelf Life Analysis<\/span><\/a><span data-contrast=\"none\">(regulated by FDA)<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-stepwise-model-builder\"><span data-contrast=\"none\">Stepwise Model Builder (what-if)<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-structural-equation-modeling-and-path-analysis\"><span data-contrast=\"none\">Structural Equation Modeling and Path Analysis (SEPATH)<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-survival-failure-time-analysis\"><span data-contrast=\"none\">Survival &amp; Failure Time Analysis<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-time-series-forecasting\"><span data-contrast=\"none\">Time series \/ forecasting<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-t-tests-and-other-tests-group-differences\"><span data-contrast=\"none\">t-tests and other tests of group differences<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-tabulate\"><span data-contrast=\"none\">Tabulate<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Text Mining<\/span><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><a href=\"https:\/\/community.tibco.com\/wiki\/tibco-statistica-variance-components-mixed-model-anova\"><span data-contrast=\"none\">Variance Components &amp; Mixed Model ANOVA\/ANCOVA<\/span><\/a><span data-ccp-props=\"{\"201341983\":0,\"335559739\":160,\"335559740\":240}\"> <\/span><\/li>\n<li><span data-contrast=\"none\">Weight of Evidence<\/span><\/li>\n<\/ul>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>View Full Version Comprehensive version of Statistica can be used primarily to analyze large (big data) datasets, create advanced predictive models and real-time production monitoring&#8230;.<\/p>\n","protected":false},"author":2,"featured_media":8993,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kadence_starter_templates_imported_post":false,"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[46],"tags":[],"class_list":["post-9787","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-products"],"_links":{"self":[{"href":"https:\/\/statistica.pro\/en\/wp-json\/wp\/v2\/posts\/9787","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statistica.pro\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statistica.pro\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statistica.pro\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/statistica.pro\/en\/wp-json\/wp\/v2\/comments?post=9787"}],"version-history":[{"count":0,"href":"https:\/\/statistica.pro\/en\/wp-json\/wp\/v2\/posts\/9787\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/statistica.pro\/en\/wp-json\/wp\/v2\/media\/8993"}],"wp:attachment":[{"href":"https:\/\/statistica.pro\/en\/wp-json\/wp\/v2\/media?parent=9787"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statistica.pro\/en\/wp-json\/wp\/v2\/categories?post=9787"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statistica.pro\/en\/wp-json\/wp\/v2\/tags?post=9787"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}