KNIME analysis platform It is a free and open source application dedicated to data analysis, reporting, and integration with machine learning and data mining tools. It uses a modular data pipeline method, has an intuitive graphical interface for ETL (extract, transform, load), and requires minimal programming experience.
Some users consider it (partially) a replacement for SAS. Although KNIME is mainly used for drug research, it is also used for business intelligence, CRM customer data, and financial data analysis.
Considering the range of options provided by the tool, the interface is very clean. Several panels are listed for exploring projects in the tree view, managing node repositories, viewing node descriptions, previewing the project outline, and checking for errors in the console.
The editing panel is multi-tab, so you can open multiple items at the same time and navigate easily. In order to better understand how KNIME works, you can open sample projects to build simple classifiers, data blending, simple reports, build and deploy churn prediction models, etc.
You can double-click the object in the designer to configure the settings. For example, when reading a data file, you can preview the data entry table, change the column separator, edit flow variables, or set memory policy options. For each executed object, you can view the log details in the console window.
In addition to configuration and execution, the right-click menu of Knime Analytics Platform lists options for editing node descriptions and creating workflow annotations. The node repository contains IO (such as read, write), operations (such as columns, tables), views (such as JavaScript, histograms), analysis (such as mining, statistics), databases (such as connectors, utilities), and others node.
You can export KNIME workflows to files and open them later to start where you left off, similarly export and import preferences, use wizards to create so-called “meta nodes” from templates, or change workflow editor settings , Such as grid size or curved connection.
The application has more than 1,500 modules in data access, transformation, analysis, data mining, visualization, and deployment. It supports connectors for major file types and databases.
Consider all aspects, KNIME analysis platform The necessary tools are bundled to help you with various data analysis projects. In addition to the fact that it is free and open source, it also provides an installer and a carrying case.
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Download tags: #Download #Portable #KNIME #Analytics #Platform #Build #Nightly
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