If you’ve arrived on this blog post, odds are you have aided Santa a third time in his trip around the globe in Week 3 of the Santalytics challenge - an inclusive, non-denominational, festive excuse for some friendly competition using Alteryx. You’ve also tackled yet another logistical nightmare for Santa with sheer Alteryx might, and identified opportunities in his data to help make the spirit of giving go even further this year. No doubt an impressive feat, and one that will be rewarded with a timeless Community Cold Weather Kit that will have you prepared to brave the coming winter season in peak fashion. Be warned in advance, you will make a lot of folks jealous this holiday season.
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.
If you haven't had a chance, please checkout the Decision 2016 Presidential Election application. The app predicts who the winning candidate will be within a given U.S. neighborhood, as well as breaks down the outcome by demographics such as age, education, income, and race. Data from SurveyMonkey and the blending, spatial, predictive and Gallery API functions in Alteryx are used to create predictions that are beautifully displayed with help from Carto and Tableau. This post will walk through the architecture that was used to accomplish this.
Recently we celebrated the launch of our long anticipated Tool Mastery Series, a collective of Knowledge Base articles tasked with communicating the most inspired uses of each Alteryx tool. Check out how we automated all the hard parts and brought the series to life!
Have you ever wanted to bring data from a Google service into an Alteryx workflow? You're in luck! Use the Google API: Retrieve Access Token macro to generate the Authentication token needed to make calls against Google APIs.
You’ve blended your data. Cleansed it. Trained your model. Made more models. Tweaked them. Compared them. You’ve picked THE BEST model. It’s perfect. Now what? You need to get the rest of your organization using your model in a live production environment.
I had been with Alteryx for about two months when I started hearing people talk about CEF [Chromium Embedded Framework]. I did a little digging on my own, and true to its name, found that CEF was a framework for placing chromium based browsers within applications. Shortly after, I learned I would have a chance to use this technology myself for the upcoming release of Alteryx.