Authored a new article about Knime Analytics Platofrm (#23856)
* Authored a new article about Knime Analytics Platofrm Knime is a free open source tool that has many useful integrations and applications. * Added info for wotking with environment variables in Node applications. * fix: made folder name lowercase
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guide/english/data-science-tools/knime/index.md
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guide/english/data-science-tools/knime/index.md
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title: KNIME Analytics Platform
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## KNIME Analytics Platform
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Knime is a open-source platform for data science. It allows loading, cleaning, blending of data from many sources, data analysis, and data output/storage. Knime processes data with a series of nodes that either load, transform, manipulate, analyze, or otherwise work on tabular data in a series of steps that can be linked together in a workflow. With the addition of extensions from the community, integration of scripts written in Python, Java, R, and others is also possible, so that if a tool doesn't exist, you can create your own. Knime workflows can also be run from the command line, enabling the automation of data analytics processes.
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## What Can KNIME Be Used For
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* data cleaning and transformation
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* numerical simulation
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* statistical modeling
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* data visualization
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* machine learning
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* deep learning
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* big data
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* google sheets
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* sentiment analysis
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* social media study
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## Downloading and Installation
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Download here: [Knime download page](https://www.knime.com/downloads/download-knime)
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Installation is self-contained, and has no depoendencies for the core program. Knime is based off of Eclipse and contains a bundled Java runtime. For script nodes that use Python or R, you must download and install those packages and inform Knime of where their executables are located.
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## Links
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* [Knime Learning Resources](https://www.knime.com/resources)
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### Via Command Line
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Refer to <a href='http://superuser.com/a/284351/275797' target='_blank' rel='nofollow'>this answer</a> on Super User.
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Refer to <a href='http://superuser.com/a/284351/275797' target='_blank' rel='nofollow'>this answer</a> on Super User.
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### If Using Node
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Add the [dotenv](https://www.npmjs.com/package/dotenv) package to your application. You can then store your environment variables in a `.env` file. Be sure to remember to add `*.env` to your `.gitignore` file.
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