If you’ve been reading the blog for a while, you know we’ve covered a number of date calculations including Year to Date vs. Previous Year to Date. 2020 brings a special challenge to calculations like this because it’s a leap year.
Highlight actions provide a powerful way to tie together related information in Tableau dashboards.
Tableau makes creating forecasts easy. It’s as simple as right-clicking in the background of a line graph and selecting “Show Forecast”. However, you’ll notice that after making that selection, the line for the historic data and the line for the forecasted data are disconnected.
I recently got a question from a student. To paraphrase it read, “I work for a company of 200 people. We recently purchased Tableau and are trying to figure out the best way to deploy it throughout our organization…
After creating a parameter that lets you swap worksheets in a Tableau dashboard, one of the problems is that when a worksheet goes blank (because it is swapped away from), the color legends associated with that worksheet also temporarily go blank.
There are three distinct methods for creating groups in Tableau. The differences and features of the differences aren’t well understood. We’ll take the time to review those three methods throughout this post. Those three methods are; header grouping, visual grouping and geographic grouping.
Bar charts are widely recognized as one of the best visualizations for communicating data. They help to rank, sort and compare values easily. Sometimes, situations arise in which you’d like to see a bar charts broken down so that each row of data is a single square that contributes toward a total bar.
In teaching Tableau, I came across a visual I think is really fun and interesting.
When you are working with survey data, you will occasionally come across situations where survey questions were multiple choice and those multiple choices responses are comma-delimited in a single cell.
I was recently asked by a student how they could compare several years of monthly values to the monthly average over that time span. They had something like this in mind…
The first thing to understand about top filters in Tableau is where they fall in Tableau’s order of operations.
Figuring out what to do with filters in a Tableau dashboard can be a headache. You don’t want them to take up too much screen real estate but want them to look nice and be intuitive. Getting them all to be the same size can be a hassle. Here are some tricks I use to help everything come together.
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.