[Click here to find all my Sankey Chart series]

One-minute mini tutorial

A project at work requires to create Sankey charts for various data sets. Yes, people just love Sankey charts. Unfortunately it's a rather complex chart to create from scratch.

I found my early effort 1, 2 don't create Sankeys as nice as I wanted. Then I fell on Ken Flerlage's Sankey template, which is based on the earlier works of Jeffrey Schaffer and Olivier Catherin. Yes, that's what I am looking for, because I will hand over it to someone who is a beginner in Tableau. Greatly inspired by Ken's work, I went on to create a simpler template as described here. Now I believe that anyone with basic Tableau skills can create Sankey charts in case of need. It is as easy as 1-2-3.
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How much does it cost under the current Tableau licensing model?

The official pricing can be found at

https://www.tableau.com/pricing/teams-orgs

and

https://www.tableau.com/pricing/teams-orgs#online

We can use Tableau to calculate Tableau's cost, for both server based or online based options.

Here I created this Tableau Licensing Cost Visual Calculator to help you figure it out.

Let me know your feedback in the comments or at my twitter @aleksoft.

[Update] Check out my new approach which is described in this video.

https://www.youtube.com/watch?v=pGWKFCnMv-0&t=18s

This is a sequel to the first article on 3-way Venn Diagram. The purpose is to make labeling a bit more automatic/dynamic. The labels are embedded in data set instead of manually annotated, although manual annotation is always an option.

What's new?

In the previous design, the labeling was done using manual annotation. Here we will pre-define the positions of the labels.
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Placing labels for each of the multiples is not much a problem. But, it's pretty hard to align them across all the multiples. For example, in this #WorkoutWednesday 35 project by Rajeev Pandey, the State labels are not aligned.
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Here you go with my new submission of #WorkoutWednesday 35 because I am a little fancied by the quad chart. I was intrigued by the design of Rajeev Pandey and derived a tiled map version from that.

The data source can be found here: http://www.workout-wednesday.com/2018/08/29/week-35-superstore-small-multiples/

Theviz is a little different from the requirements. But it's not far fetched. Still in small multiples based on US tiled map.

Added viz-in-tooltips for better viewing.

Peter Karpov created quite a few interesting math graphs using Mathematica. One of them caught my attention because I think it can be done in Tableau: Polygon circumscribing from triangle to square to many equal-sided polygons.

Here I created it in tableau.

The data set is the same 2-row seed table. With parameters, we can create as many nesting layers of n-gons (n=3,4,5,...) as we wish, because we can create data using data densification on the fly.

Tableau won't allow the aggregation count distinct or CountD() on a secondary data source. For example when we want to count the number of orders that are in a secondary data set, where each order may have multiple lines of records, we can't do it in a simple way.

There are solutions to it before LOD is available. Given LOD, this can be done a bit more easily.

Here is an example. We have a tiled map where we need to show the number of orders from each of the US states plus DC.
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The purpose here is purely for the pleasure of visualizing this bipartite graph in Tableau, because of its mesmerizing optic effect, as well as for the little exercises of building the logic behind it.

As in what I did in creating math vizzies, I try to use the minimum data set, because the rest of data points can be all derived from it based on the math relationships between points. This bipartite viz is again based on the minimum data set of two rows.

I have been curious about the US Supreme Court #SCOTUS for a while. Especially, recently I got a chance to watch the movie RBG on Justice Ruth Bader Ginsburg. This made me become more interested in the subject.

Supreme Court Justices are of primary importance to US, as a country that is governed by law. Recent announcement by Justice Kennedy to retire will give President Trump an opportunity to nominate a new justice that will certainly bear his political ideology.
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While researching on Mandelbrot Set fractals, I stumbled upon the Multiplication Circles. They are  times tables mapped on a circle. This video gives an excellent introduction to the subject, which inspired me to create it in Tableau. This has been implemented in Tableau before using a pre-calculated data set by Ben Bausili. Here I use a quite different approach based on data densification and inner dimensions of the numbers.
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