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.
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? Tableau Coach is extremely passionate about data visualization, especially using Tableau! Our focus is to help the Tableau user community by providing training and tips on using the software.
Creating the doughnut chart is relatively easy, but creating different sizes for the slices is not built in. Comparing values is one of the reasons why we make charts. So today I am going to teach you a handy little trick to make a block bar Doughnut like chart to compare targets with actual. This type of chart is very useful when you have a bunch of sales targets and you want to measure how the performance has been.
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