This is the first of a three part series showing how Tableau, Alteryx and Power BI can be used to perform trend modeling of data. After these three demonstrations are complete, a competition using worldwide data will be completed to see which software platform performs the best on completing this type of work.
Introduction About three months ago, I used Tableau to build a predictive model for my blog readership. Today I checked the accuracy of that predictive model. This short article shows the results of this fairly simplistic work.
Introduction I promised to not write any more blog posts regarding mathematical modeling in Tableau, but I just could not help myself when I uncovered the Tableau/R behavior that I describe in this post. I researched many documents to see if anyone has written about this issue, but I couldn’t find any information. If you…
Introduction For more than 20 years, I did a lot of groundwater flow and transport numerical modeling. This work prepared me well for my current career in business analytics, but life sure would have been easier if I had Tableau Desktop back then!
Introduction Earlier this week I wrote a post about how to understand all the Tableau Trend Models. This is a follow-up to that post.
Introduction I previously wrote about the need for better documentation on Tableau linear trend models. At the time, I was not able to examine the other types of trend models offered by Tableau, which include linear, logarithmic, exponential, and polynomial. This weekend I remembered to get back to the subject, which has lead to content…
Introduction Whenever I have a recurring question asked to me about a Tableau Desktop feature, I realize that something is not quite intuitive in the software and needs to be fixed. Such is the case with the Tableau trend models as they are currently described in the software.