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As an experienced Alteryx user, it can be easy to forget that there is a learning curve for many folks just starting out. This article takes a look at a new Designer Cheat Sheet which was created to help new users get started.
You might want to (or need to) collect, store and process unstructured text items with associated metadata. Examples could be to set up a library for research purposes or to build a tool to watch the public discourse for relevant conversation pieces. This guide will showcase a just-the-basics approach to build one possible implementation of such a tool in Alteryx.
Having in-depth demographic information is often seen as the holy grail in the eyes of data analysts and their business stakeholders, and there is a good reason why: the context that can be added to your analytics, as a result, is hugely advantageous.
We want Designer to look like a powerful modern tool that gives you actionable results. When you show people workflows you've developed, they should see the same powerful tool you do, even if they've never used Designer.
Ever wonder what an Alteryx C++ developer's favorite code editor is? Or a Python developer's favorite book? Or how about a front-end developer's favorite testing framework? If you answered yes to any of those questions, or just wonder where this is all going, continue reading!