2022: Week 50 - Withdrawals (HR month)

 Created by: Kelly Gilbert

This is the second challenge in our special HR month. Thanks too long time participant Kelly Gilbert for sharing her real world challenges she faces in her role with data prep. 

______________________________

Occasionally, candidates may choose to withdraw from the hiring process. The Talent Acquisition team would like to understand where in the hiring process candidates are choosing to drop out.

Input




Requirements

  • Input the data

  • Rank the statuses based on the timestamp (ts) field, where the most recent status is 1

  • If the most recent status (rank #1) is “Candidate Withdrew”, find the previous status (rank #2)

  • Count the number of withdrawals, grouped by the previous status

  • Count the total number of candidate/positions that have ever been in each status

  • Join the total counts by status to the withdrawals by status

    • Make sure that statuses with no withdrawals are included in the output

  • Calculate the % of candidates who withdrew after each status (round to 1 decimal place, e.g. output “2.5” for 2.5%)

  • Clean up the columns so four columns remain:

    • status_before_withdrawal

    • total_candidates

    • withdrawals

    • Pct_withdrawn


Output



4 columns:
  • status_before_withdrawal
  • withdrawals
  • total_in_status
  • pct_withdrawn
16 rows (17 incl. headers)

 You can download the full outputs 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 & @kelly_gilbert

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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