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In Part 1 and 2 of this series, we explored data science and big data. In this post, I’ll discuss how data visualization helps people makes sense of what data scientists are creating and storing. Whether the goal of the visualization is to expose a story...

Have you heard that if you send your husband to purchase diapers at the grocery store it is statistically more likely he will also purchase beer? Unexpected relationships like this in your data can be found with what is known as market basket analysis, or...

When dealing with large data sets speed can be crucial. Fortunately, Alteryx Predictive Tools utilizes R to provide a seamless framework to extend the toolset that comes with Alteryx Designer. This means that Alteryx users benefit from all of the powerful packages developed by the...

Asking a magic eight ball the answer to questions we have about the future may not be the ideal way to get the right answers, but is predicting the future something that is even possible? Will I get a new car for Christmas? Will I...

When Tableau released Tableau 8.1, there was a lot of buzz surrounding R integration. Tableau 8.1 has come and gone, and Tableau released another great update with Tableau 8.2. However, I still find a lot of confusion and lack of online resources regarding the actual...

Setting Up the Problem In a study called "Multidimensional Segmentation at Work," IBM asked marketing departments in various industries to rank their most difficult marketing challenges. Of the top four challenges, two were “identifying when a customer has migrated between segments” and “finding ‘real’ customers that...

One of the much anticipated features of Tableau 8.1 is integration with R. Following is a compilation of notes and observations about this integration for those of you beginning to use this new feature. This was done using 8.1 Desktop and R installed on the...

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