{"id":37748,"date":"2025-02-04T00:20:18","date_gmt":"2025-02-04T05:20:18","guid":{"rendered":"https:\/\/statanalytica.com\/blog\/?p=37748"},"modified":"2025-02-04T00:38:16","modified_gmt":"2025-02-04T05:38:16","slug":"knime-for-data-analytics","status":"publish","type":"post","link":"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/","title":{"rendered":"Mastering KNIME for Data Analytics: A Comprehensive Guide"},"content":{"rendered":"\n<p>As you know, Data is the new oil of our world today, and\u2002the right analysis and interpretation of data is pivotal. The KNIME Analytics Platform is an open-source software solution for the collection, augmentation, analysis, and visualization of data\u2002with minimal effort. The drag-and-drop interface makes this process easy; both novices and experts will have no trouble\u2002using it.<\/p>\n\n\n\n<p>It covers the process of using KNIME for data analytics, from the installation\u2002guide to some advanced techniques. This ensures that your workflows are speed-optimized and deliver accurate results as soon as possible.<\/p>\n\n\n\n<p>Analyzing data is one of the most important skills across various fields, such as finance,\u2002healthcare, marketing, and research. KNIME empowers people to make\u2002better decisions, operate their businesses more efficiently, and unlock new insights from their data, and mastering KNIME will only add to all of that. This gives the platform a user-friendly touch along with some amount of flexibility that a modern age data\u2002analyst cannot do without.<\/p>\n\n\n\n<p>The processing and analysis of big data\u2002gives companies an edge over their competitors. KNIME is an open-source data analytics, reporting, and integration\u2002platform that allows users to easily clean, transform, and visualize their data without hassling too much with programming. This\u2002ease of access means it is appropriate for both technical-based users and users who want to get insights out of their data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"knime-for-data-analytics\"><\/span>KNIME for Data Analytics<span class=\"ez-toc-section-end\"><\/span><\/h2><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-69dea34cd8575\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #ff5104;color:#ff5104\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #ff5104;color:#ff5104\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-69dea34cd8575\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#knime-for-data-analytics\" >KNIME for Data Analytics<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#what-is-knime\" >What is KNIME?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#key-features-of-knime\" >Key Features of KNIME:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#installing-and-setting-up-knime\" >Installing and Setting Up KNIME<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#step-1-download-knime\" >Step 1: Download KNIME<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#step-2-install-knime\" >Step 2: Install KNIME<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#step-3-launch-knime\" >Step 3: Launch KNIME<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#understanding-knime-workflows\" >Understanding KNIME Workflows<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#workflow-components\" >Workflow Components:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#creating-a-simple-workflow\" >Creating a Simple Workflow:<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#loading-and-preprocessing-data\" >Loading and Preprocessing Data<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#loading-data-into-knime\" >Loading Data into KNIME<\/a><ul class='ez-toc-list-level-5' ><li class='ez-toc-heading-level-5'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#steps-to-load-data\" >Steps to Load Data:<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#data-preprocessing\" >Data Preprocessing<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#conclusion\" >Conclusion<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#is-knime-better-than-python-for-data-analysis\" >Is KNIME better than Python for data analysis?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#how-does-knime-compare-to-other-data-analytics-tools\" >How does KNIME compare to other data analytics tools?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/statanalytica.com\/blog\/knime-for-data-analytics\/#is-knime-suitable-for-beginners\" >Is KNIME suitable for beginners?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"what-is-knime\"><\/span><strong>What is KNIME?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>KNIME (Konstanz Information Miner) is an open-source analytics platform that provides a graphical user interface (GUI) for data analytics. It supports data integration, preprocessing, analysis, and visualization with a modular data pipeline approach.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"key-features-of-knime\"><\/span><strong>Key Features of KNIME:<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Drag-and-drop workflow design<\/li>\n\n\n\n<li>Support for multiple data sources (CSV, Excel, databases, big data, etc.)<\/li>\n\n\n\n<li>Built-in machine learning and statistical analysis tools<\/li>\n\n\n\n<li>Data preprocessing and transformation capabilities<\/li>\n\n\n\n<li>Rich visualization options<\/li>\n<\/ul>\n\n\n\n<p>KNIME is one of the\u2002standout features. It integrates seamlessly with programming languages like Python, R, and Java, making it very appealing to novice users and seasoned developers alike. KNIME is an open-source data analytics platform\u2002supported by a vibrant, large community that adds many plugins and extensions.<\/p>\n\n\n\n<p>KNIME is a flexible solution that helps enterprises make data-based decisions, as\u2002well as use data science and analytics. This is especially important in rapidly changing industries. KNIME provides functionality\u2002for structured and unstructured data and expands business intelligence through real-time data processing and automation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"installing-and-setting-up-knime\"><\/span><strong>Installing and Setting Up KNIME<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>To start using KNIME, follow these steps:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"step-1-download-knime\"><\/span><strong>Step 1: Download KNIME<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Visit the<a href=\"https:\/\/www.knime.com\/\" target=\"_blank\" rel=\"noreferrer noopener\"> KNIME official website<\/a>.<\/li>\n\n\n\n<li>Download the latest KNIME Analytics Platform version suitable for your OS (Windows, macOS, or Linux).<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"step-2-install-knime\"><\/span><strong>Step 2: Install KNIME<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Follow the installation prompts.<\/li>\n\n\n\n<li>Ensure Java Runtime Environment (JRE) is installed, as KNIME depends on it.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"step-3-launch-knime\"><\/span><strong>Step 3: Launch KNIME<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>Once installed, open KNIME. You will see the KNIME workbench, which consists of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Workflow Editor<\/strong> \u2013 where you build workflows.<\/li>\n\n\n\n<li><strong>Node Repository<\/strong> \u2013 contains different operations (nodes) for data processing.<\/li>\n\n\n\n<li><strong>Outline &amp; Console<\/strong> \u2013 helps in debugging workflows.<\/li>\n\n\n\n<li><strong>Workflow Coach<\/strong> \u2013 provides suggestions for node usage.<\/li>\n<\/ul>\n\n\n\n<p>KNIME may look overwhelming\u2002on your first launch. Nevertheless, you will eventually get used to the workbench when\u2002using it regularly. It is advised\u2002to go through sample workflows available at KNIME Hub to understand the functionalities of the tool better.<\/p>\n\n\n\n<p>KNIME Server delivers enterprise-grade features, such as collaborative workflow execution, scheduled automation and cloud integration, to organizations that\u2002require scale.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"understanding-knime-workflows\"><\/span><strong>Understanding KNIME Workflows<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>A workflow in KNIME is a sequence of interconnected nodes that define a data processing pipeline.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"workflow-components\"><\/span><strong>Workflow Components:<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Nodes:<\/strong> Building blocks for data processing.<\/li>\n\n\n\n<li><strong>Connections:<\/strong> Link nodes to define data flow.<\/li>\n\n\n\n<li><strong>Ports:<\/strong> Indicate input\/output for nodes.<\/li>\n\n\n\n<li><strong>Execution Status:<\/strong>\n<ul class=\"wp-block-list\">\n<li><strong>Red<\/strong> \u2013 Node not configured.<\/li>\n\n\n\n<li><strong>Yellow<\/strong> \u2013 Configured but not executed.<\/li>\n\n\n\n<li><strong>Green<\/strong> \u2013 Successfully executed.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"creating-a-simple-workflow\"><\/span><strong>Creating a Simple Workflow:<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Add Nodes:<\/strong> Drag nodes from the Node Repository.<\/li>\n\n\n\n<li><strong>Connect Nodes:<\/strong> Link output to input ports.<\/li>\n\n\n\n<li><strong>Configure Nodes:<\/strong> Set parameters by double-clicking a node.<\/li>\n\n\n\n<li><strong>Execute Workflow:<\/strong> Right-click nodes and select Execute.<\/li>\n<\/ol>\n\n\n\n<p>KNIME\u2002workflows can be simple data filtration or lossless extraction processes, or they can be complex machine learning pipelines. A structured flow of work allows people to\u2002be more productive.<\/p>\n\n\n\n<p>KNIME helps automate processes by scheduling workflows, running repetitive tasks with little human intervention, saving\u2002a lot of time, and avoiding errors that come with manual task processing. Automation also brings other benefits, such as better analytics.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"loading-and-preprocessing-data\"><\/span><strong>Loading and Preprocessing Data<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"loading-data-into-knime\"><\/span><strong>Loading Data into KNIME<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>KNIME supports multiple data sources:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Data Type<\/strong><\/td><td><strong>KNIME Node<\/strong><\/td><\/tr><tr><td>CSV Files<\/td><td>File Reader<\/td><\/tr><tr><td>Excel Files<\/td><td>Excel Reader<\/td><\/tr><tr><td>Databases<\/td><td>Database Connector<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h5 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"steps-to-load-data\"><\/span><strong>Steps to Load Data:<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h5>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Drag a File Reader node.<\/li>\n\n\n\n<li>Select your data file.<\/li>\n\n\n\n<li>Configure settings (e.g., delimiter, missing values).<\/li>\n\n\n\n<li>Execute the node.<\/li>\n<\/ol>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"data-preprocessing\"><\/span><strong>Data Preprocessing<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>Preprocessing is crucial for accurate analysis:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Handling Missing Values<\/strong>: Use the Missing Value node.<\/li>\n\n\n\n<li><strong>Filtering Data<\/strong>: Use a Row Filter or Column Filter.<\/li>\n\n\n\n<li><strong>Type Conversion<\/strong>: Convert data types using String to Number.<\/li>\n\n\n\n<li><strong>Normalization<\/strong>: Use the Normalizer node for scaling.<\/li>\n<\/ul>\n\n\n\n<p>Data preprocessing ensures that datasets are clean and structured before proceeding with analysis. Poorly processed data can lead to incorrect insights and misleading conclusions.<\/p>\n\n\n\n<p>For organizations dealing with big data, KNIME supports distributed processing using Apache Spark, allowing businesses to handle vast amounts of information efficiently.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"conclusion\"><\/span><strong>Conclusion<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>KNIME is a great application for data analysis, featuring a no\/low-code environment\u2002with plenty of functionalities. KNIME is a powerful data analysis tool that allows you to process, transform, visualize, and\u2002even machine-learn your data, whether you are a newb or a pro.<\/p>\n\n\n\n<p>With this guide you can begin building powerful KNIME workflows to unlock the true value and insights from\u2002the data for making informed decisions starting today!<\/p>\n\n\n\n<p>KNIME is constantly maturing, embedding the newest data and machine-learning science in its\u2002workflows. Once you become more familiar with KNIME and, more importantly, its various extensions and plugins, you\u2002can experience its more advanced functionalities. KNIME is\u2002a powerful platform for modern data needs, and the possibilities are endless.<\/p>\n\n\n\n<p>KNIME is a and seamless solution that helps modern businesses flourish in this era of digital transformation through automated workflows, integrated AI models, improved\u2002data-driven strategies. KNIME makes it easy to create predictive models, text mining &amp; optimize decision-making, making it an invaluable tool across\u2002the lifecycle of any data scientist.<\/p>\n\n\n\n<p><strong>Also Read: <a href=\"https:\/\/statanalytica.com\/blog\/statistical-analysis-tools-for-data-science\/\">Top 15+ Statistical Analysis Tools For Data Science<\/a><\/strong><\/p>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1738645756407\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"is-knime-better-than-python-for-data-analysis\"><\/span>Is KNIME better than Python for data analysis?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>KNIME is excellent for visual programming and doesn\u2019t require coding, making it ideal for non-programmers. However, Python provides more flexibility for custom scripting. Many professionals use both together, as KNIME allows integration with Python scripts.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1738645767426\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"how-does-knime-compare-to-other-data-analytics-tools\"><\/span>How does KNIME compare to other data analytics tools?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>KNIME is often compared to tools like Alteryx, RapidMiner, and SAS. Its main advantages include being free, open-source, and highly customizable with extensive integrations. Alteryx, on the other hand, is a premium tool with similar capabilities but higher costs.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1738645786418\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"is-knime-suitable-for-beginners\"><\/span>Is KNIME suitable for beginners?<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes! KNIME\u2019s user-friendly interface and visual workflow design make it an excellent choice for beginners in data science and analytics. The platform provides extensive documentation and community support to help new users.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>As you know, Data is the new oil of our world today, and\u2002the right analysis and interpretation of data is pivotal. The KNIME Analytics Platform is an open-source software solution for the collection, augmentation, analysis, and visualization of data\u2002with minimal effort. The drag-and-drop interface makes this process easy; both novices and experts will have no [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":37758,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[139],"tags":[5092,5090],"class_list":["post-37748","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-analytics","tag-data-analysis-with-knime","tag-knime-for-data-analytics"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/37748","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/comments?post=37748"}],"version-history":[{"count":1,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/37748\/revisions"}],"predecessor-version":[{"id":37751,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/37748\/revisions\/37751"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/media\/37758"}],"wp:attachment":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/media?parent=37748"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/categories?post=37748"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/tags?post=37748"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}