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+---
+title: KNIME Analytics Platform
+---
+
+## KNIME Analytics Platform
+
+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.
+
+## What Can KNIME Be Used For
+
+* data cleaning and transformation
+* numerical simulation
+* statistical modeling
+* data visualization
+* machine learning
+* deep learning
+* big data
+* google sheets
+* sentiment analysis
+* social media study
+
+## Downloading and Installation
+
+Download here: [Knime download page](https://www.knime.com/downloads/download-knime)
+
+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.
+
+## Links
+
+* [Knime Learning Resources](https://www.knime.com/resources)
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 ### Via Command Line
 
-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.
+
+### If Using Node
+
+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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