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After training a Phrases model with Community texts, I wanted to be able to incorporate the model into Alteryx workflows that I was using to process text, and hopefully even be able to share the model with other Alteryx users. After thinking through this, I realized it was a perfect application for the Python SDK.
Who doesn’t love a good cheat sheet? Nobody, that’s who. Cheat sheets are awesome. They are a great reference for functions you need handy, but don’t have memorized by heart (yet). They can also be a fantastic way for learning and reinforcing components of a programming language. Some people like to keep them saved as a bookmark on their web browser. With all of that in mind, we are proud to present to you an Alteryx – R Cheat Sheet, which features Alteryx specific functions for use in the R Tool. With this cheat sheet, you should be better equipped to take on any R Tool challenges you encounter.
Ever wondered how to build a new analytic tool from scratch using the Alteryx Python SDK, but didn’t know where to start? This blog post takes you through the absolute basics to get you up and running - You’ll be creating brand new tools, connectors and advanced analytics in no time with this step-by-step beginners guide!
Alteryx has a lot of built in functionality, but the ability to leverage custom R code opens up even more possibilities. After reading an answer on the Alteryx Community many months back, I was inspired to try and integrate Google Charts into an Alteryx workflow by using the R tool.
Alteryx isn't just a tool, it's a platform. We'll explore this, Halloween style, using Python in a Jupyter notebook to connect to an Alteryx application that performs demographic clustering for candy sales data.