2020: Week 45

 Challenge created by: Carl Allchin

For those who have taken part in the Preppin' Data for a while you know we love Chin & Beard Suds Co to provide some 'fun' data challenges. Well we are excited to announce the take-off of our new business:

Prep Air is our airline that will fly between some of the World's major data hubs as well as when the Dr Preppers basically want to take a well earned holiday. We saw an opportunity to enter the market whilst air travel struggles but we believe our airline that is based on great data-driven insights is a fantastic way to go (plus as the CEO is over 6 foot tall the legroom is fantastic even in economy class!). 

This Week's challenge

Clearly this hasn't been the best year to start an airline. Our Chief Financial Officer (Jenny) likes to remind me of that everyday but we've started now so this week's challenge will help me persuade her that there is a future for our fledgling airline. I want to take the first 3 months of revenue and show how the rest of the year's revenue would have likely amassed if the world hadn't stopped. 

When flying all over the world, the different seasons affect demand to fly to certain locations so this needs to be factored into the revenue projections. Projections have been given for each country as the destination of the flight affects the amount of sales value that can be gained.

Inputs

Ticket Sales

Ticket Sales Target

2020 Quarterly Projections for Destinations

Airport Reference Table

Requirements

  • Input Sales, Target and Airport Reference Table sheets
  • Determine Quarterly Sales Value, Target and Variance of Sales to Target for each Route
  • Make the Quarterly Projections for Destinations data set usable
  • Apply the projections to the Q1 Sales Value
  • Total Yearly Sales, Target and Variance to Target for each route factoring in the projections.
  • Output the data

Outputs


7 data fields:
  • Origin
  • Origin Destination
  • Destination
  • Destination Country
  • Value
  • Target Value
  • Variance to Target
6 Rows of data (7 including headers)

The full output can be downloaded here.

After you finish the challenge make sure to fill in the participation tracker, then share your solution on Twitter using #PreppinData and tagging @Datajedininja, @JennyMartinDS14, @JonathanAllenby & @TomProwse1

You can also post your solution on the Tableau Forum where we have a Preppin' Data community page. Post your solutions and ask questions if you need any help! 


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