Starburst charts, sometimes called sunburst charts or circular timelines, are one method of displaying data over time. They may look cool, but they aren't exactly easy to understand. If you are going to use them, I'd advise you to check with your audience first to ensure they understand how to read them.

In this video, I take you through how to build a single starburst as well as a series of starburst charts as small multiples or trellis chart.

All of the calculations are in the description for the video here. You can download the workbook below. 

My goal this week was to correct my failures from last week, so I focused almost exclusively on building the starburst/sunburst chart. As promised to the viewers, I will also record a separate tip video for how to build them.

Here's the WatchMeViz and the viz is below that.

Four weeks to go with Makeover Monday 2019. We've had lots of interesting vizzes to makeover and lots of interesting data. This week, I wanted to pick a simple visualization and simple data.

What works well?

What could be improved?

What I did

In this week's tip, I show you how to use the Union feature in the connection pane to union a data set to itself in order to create paths between origins and destinations. This example uses airline routes and it could also have many other use cases, e.g., where are bike picked up and dropped off in London.

Now that the manuscript of the Makeover Monday book (pre-order here) has been sent to the publisher, I'm going to do my best to get back into a rhythm with weekly tips. This week, I'm going to show you how I used Tableau Prep to prepare the data for my Makeover Monday viz this week. It involves splitting eight columns into two sets of four, renaming fields, pivoting the data, and then unioning it all back together.

You can download the flow here.

Click the image for the interactive version

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Brexit is a hot topic in the news these days over here in the UK. The ramifications are far and wide. Leaving the EU would mean a LOT of lost jobs, impacting even the Data School and the Premier League.

Back in September, The Guardian wrote an article and created this visualisation to show which teams in the Premier League would be impacted the most.

Click the image to view the interactive version

I like the layout of this, but what it lacks is a simple way to see where the players that are impacted come from. I also wanted an excuse to practice the new Union feature in Tableau 9.3. It took me a couple of hours to recreate the data set and then another hour or so to create the interactive viz below.

Find your team and see how many players they could lose if Brexit happens!