It is well documented that using a Tableau Data Extractsin lieu of a live connection to a data source usually provides a faster querying experience for end users. What is not well documented are some of the errors that can pop up when working with extracts.
Hiding data in a Tableau worksheet is usually as simple as right-clicking on a label and selecting hide.
For a while, I’ve been speculating about what percent of an “average” person’s income goes toward taxes and government programs. I’ve also been wondering how people can make a great income and still have little money left for savings and retirement.
One of the challenges of busy dashboards in Tableau is that it can be hard to tell if a filter has been applied.
Tableau Prep is a new desktop application (released spring, 2018) provided by Tableau to assist with complex data preparation.
One of the frustrating data formats that can make data unusable in Tableau is report-formatted spreadsheet that have headers with following blanks.
Working with milliseconds in Tableau is tricky. While Tableau does technically handle milliseconds, they aren’t as flexible as other date units like days and hours.
Sets and Groups are two distinct ways of creating predefined subsets of data in Tableau. While they seem similar at a high level, they have some significant differences.
Storytelling is about creating a shared experience. It means listening to where people are and what they are seeking. When we use this approach for our dashboard delivery, it creates a shared solution.
As Steve Jobs shared, “… [Design] is not just what it looks like and feels like. Design is how it works.”
Imagine you are working in Tableau and want to create a worksheet that compares performance this quarter to date to performance last quarter to date. Depending on the visuals you’d like to create, you’ll likely need to create a calculated field for this to work properly.
We all have to make decisions in life. Some of those decisions are small and have minimal impact (e.g. What should I wear to work?), but some of those decisions have significant, long-term impact.
Have you gotten the error “All fields must be aggregate or constant when using table calculation functions or fields from multiple data sources” in Tableau?
Data scaffolding allows you to generate missing data for visualization purposes.
I’ve seen several examples of people turning their resumes into Tableau dashboards recently and I wanted to try my hand at it and write a blog post about the process.
Imagine you are working with a data set in Tableau that displays minutes and seconds in decimals. For instance, 1.5 would be reflective of 1 minute and 30 seconds…