All Visualizations Stories

Step by step instructions to see and understand your music listening data using Tableau.

Maps are a great tool to visually analyze spatial patterns. In Tableau, it’s simple to add multiple layers of data on top of a custom base map to easily see patterns.

Learn sources and tips on how to find the perfect dataset for your next data visualization project.

In celebration of Black History Month, we're taking a closer look at how Du Bois’s visualizations for the Paris Exposition were innovative.

If you haven't used Python before, have no fear—this is definitely achievable for novices. Read on!

Examine the issue of using red and green together in data visualization.

We here at Tableau are very proud of how easy it is to see and understand data with Tableau. Once you get started, it’s intuitive to dive deeper by adding more and more fields, formulae, and calculations to a simple visualization—until it becomes slower and slower to render. In a world where two-second response times can lose an audience, performance is crucial. Here are some tips on making your dashboards more performant.

Like any company, Tableau needs to make decisions about sales data. And as a data company, we’re always on the hunt for the best way to look at sales information. Here are five ways we look at our own operations to help make decisions about quota, territory management, and must-win deals.

Tableau's features are carefully designed to help people transform data into meaning. The easier it is to express ideas in a calculation language, the more meaning people can generate. Level of Detail (LOD) Expressions allows people to express powerful concepts using simple statements.