Linear Regression in Tableau, Part 1. Time Series

A linear regression model is used to describe the dependence of some dependent variable Y on variable X. Such models are often used to describe trends in quantities. Trends are tendencies of changes in quantities in mathematics, they can be described by linear, logarithmic, power and other equations. In addition, trends are also called charts that show the change in a certain value over time. This article will focus on linear trends.

Elevation & Bathymetric Lines on Maps in Tableau

Topoghraphic and bathymetric maps have been known for a long time and are widely used in the world. On topographic maps, the lines connect points of equal elevation. On bathymetric maps, they connect points of equal depth. In this article I'll show how modern data visualization tools help build such interactive maps.

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.