The Vizuators Blog

Why most AI tools fail on real Tableau dashboards — and how to actually see what they‘re doing. A real example of schema hallucination and how Events mode solves it.

Python is more versatile in data processing and calculations but worse for visualization. So there are several tasks for which it makes sense to do pre-processing in Python and then visualize in a Tableau.

The donut chart is one of the most seen charts from the time of Excel. It is usually built-in Tableau using two pie charts (one with sectors, the second with a white circle), combined using a Dual Axis. But what if another level is needed? We've got that question while developing a dashboard for a customer.

Hex-maps can be a great tool in your data visualization tool-belt. They can allow you to represent geographic data in a format that places less focus on geographic area and position, giving each sub-region an equal area on the map.

We present to your attention a dashboard assistant. This handy cheat sheet is based entirely on Vizuators' development experience.

You need beauty in visualizations on a dashboard and all that is behind it. In your Tableau documentation, for example. Why and what do we mean by beauty in documentation?

On a simple data model, we showed how Tableau could implement the calculation and visualization of Earned Growth Rate. Check out what we got on Tableau Public!

Air pollution worldwide research with an infographic in Tableau