2022: Week 43 - Missing Training Data 2.0

 Challenge by: Jenny Martin

Good news everyone! Joe was thrilled with the solution we came up with to solve his missing data problem. However, he realised that when he replicated it with the actual data, there was still one part that wasn't quite right. 

You see, if the missing training sessions occur on the very first date in the dataset, the workflow we built last week will not fill in the scores since we are only filling down from previous sessions. So in the below example, Agility session would only be filled in from the 4th August onwards. Joe would like the values for the 2nd & 3rd August to be 0. 

Input

  1. You'll need the workflow you built last week (go back and do the challenge if you haven't yet)
  2. An updated Player Training file: 

Requirements

  • Replace the input data from last week's workflow with the new datasource
  • In a new branch, keep only the first training session for each player and each session 
  • Work out the minimum date in the entire dataset
  • Add in the dates between the minimum date and first session
  • Assign these generated dates a Score of 0 and set their flag to be "Pre First Session"
  • Combine these new rows with the new rows generated in last weeks challenge
    • Be careful of duplication
  • Ensure no weekends exist in your dataset
  • Output the data

Output

  • 5 fields
    • Player
    • Session
    • Session Date
    • Score
    • Flag
  • 11,700 rows (11,701 including headers)
You can download the full output 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 & @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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