Have you ever seen some really nice and cute custom shapes and wished you can use them in your own vizzes? I have.

Yeah, Google search told me that those little shapes are stored in some temp folders with weird names. Once they are found if we are lucky, we have to extract the custom shapes or icons/images into a special folder somewhere (please remind me of the path to Shapes). Then we have to import them into our Tableau Desktop as custom shapes. Quite a hassle!

Here is a simple way (it applies to Tableau Desktop only, not Public).

1.Open the viz with shapes of interest in Tableau Desktop

2.Right click the sheet tab containing the chart with those shapes and copy

3.Right click a blank sheet tab in your destination workbook and paste

Now the shapes must be in your new workbook.

Natively means no R and no Python is used. We only use Tableau's native functions to do all the necessary calculations, including iterations.

As I have recently been interested in rendering math functions in Tableau, I noticed a dramatic rendering in Tableau of Lorenz Attractor by George Gorczynski. He used Python to generate the data set, with fixed parameters.

I tried to implement the attractor in Tableau alone but failed.

It seems Tableau doesn't handle big numbers correctly in calculating factorials.

Here is an example:

When K<=20, the result K! is good.

When K>=21 the results are no more correct. Some of them are even becoming negative.

A case has been submitted to the Tableau support. Click the image to download the workbook.

[Update] Following comments by Gerardo, I figured out a solution: using Float() in the calculation will give the good result. Click the above image to view the updated workbook.
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I was given a hand drawn whiteboard shot. Someone needs a scatter plot with radial references just like that. It made sense to me immediately. In a scatter plot, horizontal and vertical references seem no more enough. I would love to see such a chart in Tableau.

I know what is needed: polygon in dual axis with scatter plot. But I never did it before. It still took some research and optimizations to make it work. Bora Beran's blog is a great source of inspiration to me in my research.
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