This week, alongside WorkoutWednesday we have a new collaboration, which gives you a chance to try out another community project,  #PreppinData. PreppinData is a like workoutwednesday but with Tableau Prep Builder. Each week they give you a messy data set, some requirements and a finished data set, you then have to use Tableau Prep Builder to clean the data set and get to the final outcome. This week we start off with a PreppinData challenge, which then feeds into WorkoutWednesday. Are you ready to truly feel the Burn?

To celebrate Tableau’s Music month I found a great data source on one of my favourite artists (Ed Sheeran) that led Carl Allchin to ask a question about one of his faves (Ben Howard). We want to analyse the two artists careers based on their touring patterns and as two UK-based singer-songwriters who appeared on the UK music scene at similar times, how have they developed.

For the #PreppinData challenge please click here. This is where you will get the data from.

 

Now for the WorkoutWednesday challenge.

 

Click to Interact

Requirements

  • Dashboard size: 1600 x 900
  • Version 2019.2 needed
  • Group Locations into Regions
  • Create Hub and Spoke maps (no extra data prep required other than whats in the PreppinData Challenge), North and South America, Europe, Middle East and East Asia and Pacific.
  • Word Cloud of All supporting artists which an action per region.
  • Formatted Tooltips
  • Colours and font consistent.

Data

Here you can find the output from the #PreppinData challenge for those who want to just to the workout,

Attribute

When you publish your solution on Tableau Public make sure to take the time and include a link to the original inspiration.

 

Share

After you finish your workout, share on Twitter using the hashtag #WorkoutWednesday2019 #PreppinData and tag @AnnUJackson@LukeStanke@lorna_eden@curtisharris_! @DataJediNinja and @JonathanAllenby

Track Your Progress

Also, don’t forget to track your progress using this Workout Wednesday form.

Hints

Check out this blog by Tableau

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