Optimal Transport Problem with Python and Tableau

The optimal transport problem or the Monge-Kantorovich transportation problem is a linear programming problem about the optimal transportation plan from departure points to destination points, with minimal transportation costs. Solving transport problems has a huge role in economics. In this article I will show how to solve such problems using an example and describe how you can visualize the results of a solution.

Ordering Chaos

Sometimes it seems to us that the processes that surround us are chaotic, but this is far from always the case, and in random events one can find certain patterns of process behavior, collecting data from this process and analyzing it.
In this blog post I'd like to talk about how you can see certain patterns in events that at first glance seem chaotic.

Contour Plot and Density Estimation in Tableau

The Contour Plot visualization and its special case Tanaka Contours meet in sports analysis and geo-analysis. Contours or levels in visualizations describe the same values, allowing you to represent, for example, elevation levels on maps. This article shows how you can create visualizations in Tableau that show changes in event density or event probability.

Parametric Portraits in Tableau

Math is beautiful!
The goal of the article is to show to Tableau users that math it is not only boring numbers and it is possible to describe anything by math equations and draw it.
It’s hard to imagine the dataset for the visualization of portraits contains only 2 values: 0 and 500. The portrait’s curves draw by using parametric equations for X and Y axes.

Data driven pictures in Tableau

В этой статье рассматривается подход к созданию точечных изображений, при котором в каждую точку можно записывать данные. Таким образом, точка становится носителем данных, и ее положение, размер и цвет обретают смысл. Из таких дата-атомов формируются визуализации.