Cloud Quests

Elevate your workflow skills by solving real-world challenges using the Alteryx Analytics Cloud Platform.

Cloud Quest #4: FIFA™ Women's World Cup Analysis

AYXAcademy
Alteryx
Alteryx

Hi Maveryx,

 

We are launching an updated process to submit Cloud Quest solutions!

 

Starting today and moving forward we will provide a JSON workflow start file for each quest. The workflow contains starting data preloaded into a Text Input tool (or tools).

 

Upload this JSON file into your Alteryx Analytics Cloud Library, then you can open the file and start solving the quest in Designer Cloud!

 

Similarly, once you are finished, you can export your JSON solution file to attach to your reply on Community.

  • Remember to attach your solution file to your reply on Community to get credit towards your Cloud Quest badge count. 
  • Please continue to upload a screenshot of your solution workflow so other Maveryx can check out your creativity!

 

Review the following instructions to learn how to import and export Alteryx Designer Cloud workflows.

 

Import the Cloud Quest Start File

  • Download the provided JSON start file and upload it into your Analytics Cloud library.
  • Open the workflow in Designer Cloud.
  • Start solving!

Get Started.png

Export Your Solution

  • Once you have completed your quest, go back to your Analytics Cloud library.
  • Download your workflow solution file.
  • Upload your JSON file as an attachment to your comment.

Upload your Solution.png

 

Now, with that out of the way...

 

Let’s dive into this week's quest!

 

You are a data analyst at a sports statistics firm. Your department is focused on analyzing historical data from major international sporting events, and your current project is the FIFA Women’s World Cup™.

 

You have been provided with a dataset named Womens World Cup dataset. This file contains detailed Women's World Cup match records, including teams, match outcomes, and dates from 2016 through 2019.

 

Your goal is to use Alteryx Designer Cloud to process this dataset and determine which team won the most matches in years 2016-2018. The outcome should consist of two columns: one for the team and the other for the number of wins.

 

Hint: Use the IF/THEN expression in the Formula tool to identify the winners. Also, ensure to exclude any matches where there was a tie.

 

Saqueador
A combination of the Sample, Filter, Summarize, and Formula tools should solve your problem, but not necessarily in this sequence.

If you find yourself struggling with any of the tasks, feel free to explore these interactive lessons in the Maveryx Academy for guidance:

 

 
Here’s to a successful quest!

 

AYX-Maveryx_Micro Identity-Maveryx Academy_wordmark.png

45 RESPOSTAS 45
thomasduong
Meteoro

Solution for CQ4

 

Screenshot 2024-08-01 at 17.24.48.png

Saqueador
 
patrick_digan
17 - Castor
17 - Castor
Saqueador
image.png
jpowellsd
Alteryx
Alteryx
Saqueador
I wasted a lot of time trying to parse dates and create a filter on 2016-2018, then realized they were already within the range.  Much simpler once I realized that - lol
Cloud Quest 4.jpg

 

terry10
Quasar

 

I finally figured out how to download the json file from my library. Is there any way to download it from Designer Cloud?

 

 

Saqueador
CQ4.PNG

 

 

smurfitt
Meteoro

Here is my solution, which includes excluding the 2019 results. 

 

LeandraN
Alteryx
Alteryx
 
 
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