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.

 

Spoiler
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!

 

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32 REPLIES 32
TonyaS
Alteryx
Alteryx

Ok, I did a bit more because I wanted to be able to use my workflow in an App Builder app. 
I am also attaching the screens for the cloud App that I built in App Builder. 

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CloudQuest4Solution.pngFIFA-WWC_AppDesign.pngFIFA-WWC_AppOrch.png
Tonya Smith
Sr. Technical Product Manager, cloud App Builder
logdog0411
8 - Asteroid
Spoiler
Picture5.png

geoff_zath
Alteryx
Alteryx
Spoiler
quest_4_workflow.png

JeffF
Alteryx
Alteryx
Spoiler
Quest#4_JeffF.png
messi007
15 - Aurora
15 - Aurora

My solution.

Screenshot 2024-04-10 165214.png

DaanVerkerk
6 - Meteoroid

This was a fun challenge

Spoiler
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Diederik_vanderharst
8 - Asteroid

Voila

Spoiler
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RWvanLeeuwen
11 - Bolide

Here's my take:

Spoiler
Quest4 - RWvL.png
AYXAcademy
Alteryx
Alteryx

Hi Everyone -  a small update has been made to this quest prompt and start/solution files. The description incorrectly said the dataset date range is 2016-2018 but there are actually values from 2019 as well, which caused some confusion. We've modified the solution file to include a filter tool which removes 2019 date records. Your previously submitted correct solutions remain correct. Thank you!

nadasky
7 - Meteor

My solution.

 

Spoiler
Quest4_Solution_JN.png