In the last quarter of 2016 the German marketing team came up with a great way to follow the immense success of last year’s Tableau Stadium Tour: the Tableau Cinema Tour! After visiting ten cities all over Germany, Austria, and Switzerland, we are now considering rolling it out all over Europe. Stay tuned for that! Since we often got requests for the data used in the main demo, I decided to produce this write-up of how to extract the data from the Internet Movie Database (IMDb). Unfortunately copyright reasons make it impossible for us to just provide you the ready-made data. That said, with this walk-through everybody should be able to get the data!
Have you ever received a spatial data set that you wanted to visualize in Tableau, only to find out the coordinates looked like this:
50°07'01.9"N 8°40'20.8"E If so, or if you’re just generally interested in geographic data and Tableau, this post is for you.
In 2013 Dr. James Cheshire from the Centre for Advanced Spatial Analysis at the University College London created a data visualization that was critically acclaimed back then and saw something of a renaissance a few weeks ago when a modified version by Henrik Lindberg made its way onto the Reddit front page. I had been mesmerized by the viz from the beginning, so when it reappeared in my blog reader I decided I had to try reproducing it in Tableau.
A number of colleagues, customers, people visiting any of my public presentations and even friends have asked in the recent past about my Windows desktop wallpaper and where to get it.
The first question I get most of the time is: “Is it real?” Well, no. Unfortunately it’s not. I’d love to have enough time to build something that awesome in real LEGO bricks, though!
So, if it’s not real, then how was it done? As is often the case with me I got the inspiration from one of the many blogs I read on a regular basis. In this case it was an article by John Nelson over on his blog Adventures in Mapping. There he showed an easy-to-follow way to LEGO-ify maps and satellite images. And I did exactly the same, just with an image of the lovely Tableau logo (Tableaugo? … maybe not) after scaling it to a Full HD resolution of 1920 x 1080 pixels and filling the empty space with white
bricks pixels. Credit where credit is due, so I won’t nastily copy & paste the how-to here but instead redirect you to John’s writings. In the meantime John and Vanni Zhang, another map and LEGO geek, even whipped up an interactive website that allows you to automagically generate LEGO-ified maps from web maps.
Give it a try, enjoy the LEGO style and take care not to break any virtual fingernails with those pesky 1×1 bricks… Also, show us what LEGO-goodness you came up with! Oh, and feel free to download my TabLEGau wallpaper. When sharing I’d be happy if you told people where you got it from.
Imagine you have some kind of system that produces reports on your data – for this example I randomly decided to use bookings for events -, and these reports are published on a regular schedule. Now you want to see two things in your report:
- The current status of participants per event – both for past events (i.e. the actual number of participants) and for future events (i.e. the current number of people registered).
- An overview of how the number of people registered changed over time.
Also, your source system is publishing these data as
.csv files. How can this be done?
Well, very easily using the new wildcard union feature introduced in Tableau Desktop 10.1! Read on to see how this can be done.