Ever wonder how to become faster at Tableau but don’t have time to read every Tableau blog? Or maybe you wish there was an easier way to do some tableau stuffs without wasting your precious time? This article is a monthly list of 10 tips or tricks you can use in Tableau that takes less than 5 minutes to learn. These tips will help you save time, expand your knowledge, and will generally impress your friends / supervisor.
A new section to bring in light, thoughts of the Tableau experts who are an inspiration to all of us.The answers will be helpful to everyone aspiring to learn more and more in the Tableau world.Every week, we shall bring in such one personality who would share their words to the readers and motivate them to dive in deeper in this limitless ocean of knowledge and fun.
A Sankey diagram is a visualization used to depict a flow from one set of values to another. The things being connected are called nodes and the connections are called links. Sankeys are best used when you want to show a many-to-many mapping between two categorical dimensions. This chart is a good alternative to bar charts or pie charts, if you wish to show flow quantities.
Firstly, let’s have an overview of Tableau Fringe Festival.Tableau Fringe Festival sprung from the great community mind of Emily Kund and Fi Gordon. Its ensures that the community members’ messaging had a platform to be heard.It's basically a one day virtual conference where we get to hear great content from the community, for the community! The conference is FREE to attend, encouraging a culture of collaboration and learning for our community.
The Pages shelf in Tableau helps in visualizing a large amount of data in a very compact and insightful way. We all know that a ‘Pages’ shelf exists in Tableau. However, most of us don’t know how to use it. This article is to solve that problem. After reading this article, one would have understood what the Pages shelf is and what it does, and will be very confident about using it in their visualizations.
Sets are custom fields that define a subset of data based on some conditions. A set can be based on a computed condition. For example, a set may contain customers with sales over a certain threshold. Computed sets update as your data changes. Alternatively a set can be based on a specific data point in your view. You can use sets to compare and ask questions about a subset of data.
LOD Expression represent an elegant and powerful way to answer questions involving multiple levels of granularity in a single Visualization.Level of Detail Expressions provide a way to easily compute aggregations that are not at the level of detail of the visualization.You can then integrate those values within visualizations in arbitrary ways