Connecting the Dots – Visualizing Paths in Tableau

I had been planning to write this post for a long time. Not only have I been asked many times how to do this in my daily consulting work, but especially during and after my hands-on training “Stretching the Boundaries with Advanced Mapping” at our Tableau Conference On Tour 2017 in Berlin earlier this year. The question is pretty simple: How can I draw paths in Tableau? Oftentimes these are some kind of movement data, e.g. refugees or flight connections. The way to do this in Tableau is actually very easy – and some of the recently introduced features made it even easier – but it’s imperative to understand how Tableau draws lines and how the data therefore needs to be structured.

The OpenFlights.org route network visualized in Tableau

The OpenFlights.org route network visualized in Tableau

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Using Coordinate Data in Degrees (DMS) Format in Tableau

Have you ever received a spatial data set that you wanted to visualize in Tableau, only to find out the coordinates looked like this: 50°07'01.9"N 8°40'20.8"E If so, or if you’re just generally interested in geographic data and Tableau, this post is for you.

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Linear regression line in Tableau calculated by external R script

Run code from an external .R file in Tableau

Tableau introduced the R integration in version 8.1 back in 2013. That’s awesome because it opens up to Tableau the whole range of analytical functionality R offers. Most of the time the R code being triggered from within Tableau is rather short, such as a regression, a call to a clustering algorithm or correlation measures. But what happens when the code you want to run out of Tableau is getting longer and more complicated? Are you still bound to the “Calculated Field” dialog window in Tableau? It’s nice but it’s tiny and has no syntax coloring or code completion for our precious R code.

Run R code inline in a Calculated Field in Tableau

Run R code inline in a Calculated Field in Tableau

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