This week’s workout is what we’ll call an advanced hierarchy, with a pre-build difficulty rating of 4/10. This challenge forces us to take advantage of the set actions feature, while also forcing us to enhance our base data with built in data prep features. After this challenge, you’ll surely feel more comfortable with set actions, and your mind might get flooded with new use cases!
I’m going to need a moment alone for this one. Ever since I stopped making dashboards, and started making analytic applications in Tableau, I’ve wanted to format my parameters individually. Up until Tableau 10.4 (currently in beta), if you added 10 parameters to your dashboard, they would all be controlled by a single formatting rule… let me show you how to break this chain and free up your dashboard designs with individual parameter formatting.
One of the best ways to learn Tableau is by making your initial projects personal. Finding a topic you’re interested in can accelerate your trajectory much more than fiddling with Superstore data. While Superstore data is certainly appreciated, pairing a topic of interest with a popular existing visualization as your template can make things even more enjoyable, and that is what this blog post is all about.
At Tableau conference 2015, we were previewed a very cool feature called “viz in tooltips”. Tableau conference 2017 is now only 7 months away, and we have yet to see this feature even in beta form. While we wait, there are a few alternatives one can pursue, but come with complexity and overhead. I’d like to present how I’m dealing with the lack of a feature in my professional life…
The third week of Makeover Monday in 2017 presented us with an interesting (or ridiculous) data set comprised of the tweets sent out by President-elect Donald Trump. It took me about five seconds to decide what I wanted to do… draw an image of Trump with Trump’s tweets. Here is how I used Processing and Tableau to do it.
Recently I have been very interested in learning some new technologies, especially those that help gather data for use in Tableau. The NBA has a very robust API, and there are a few great blog posts out there that helped get me started: Greg Rada, Daniel Forsyth, and Savvas Tjortjoglou. All material can be found here: https://github.com/charris7/TabNBA
Ever had to explain to someone the process of clicking in the white space to activate a sheet, finding the toolbar, and then explaining which buttons perform the proper exporting action? I have gone through that process more times than I care to admit, and I never get better at explaining it…
From time to time I get the privilege of interviewing a candidate for a business intelligence position, usually when the person has rated themselves extremely high on Tableau skills. One of, if not the first, items I investigate is advanced knowledge in parameters.