Here at Alteryx we know the importance of growing our experience at solving data and business problems. Almost weekly (~40+ times a year) we share an Alteryx challenge with our internal Alteryx users and then we all develop our own solutions. Later we review our solutions in small groups.
Since many Alteryx users have expressed an interest in having us share these exercises, we have created this new section of the Community. The intent is to share and exercise about once a week on Monday. Some of the exercises will be easy and some you will find more challenging. The goal is to expose everyone to more of the things Alteryx can do and hopefully everyone will take away an idea or two on how to approach different challenges. The following week we will post a new challenge as well as an example solution to the previous week's challenge.
We hope you enjoy the exercises.
Exercise #1 Join to Range:
A company in Australia has source data which is made up of a series of postal codes (eg. 2000, 2001, 2002 etc.) amongst some other data fields. They have a separate reference table which contains postcode ranges (eg. 2000 to 2002) which they would like to use to match/filter their main data.
Each Customer Record needs to be joined to the Lookup table based on a Postal Area Ranged region. Then finally summarize the customer data by Region, Sales Rep, and Responder, then a count of customers.
Check and see what the result should look like by looking at the data labeled 'Output'. Your mission is to take the input files and blend them so your result matches the output shown. Good luck!
UPDATE 11/16/2015:
I have posted a solution to challenge #1 from last week. It is a good example to show the usefulness of the generate rows tool. Please keep in mind that this is just one solution using Alteryx to solve the problem, there can be many other solutions and approaches to the problem. Hopefully you had fun and learned something new in the process.