Your question is Clean Messy Dataset Before Analysis. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Describe a time you had to clean a messy dataset before performing analysis.
Briefly explain the dataset, what made it unreliable, and what analysis depended on it. Walk through how you identified and prioritized data-quality issues, validated your cleaning decisions, and communicated limitations or tradeoffs to stakeholders. Be specific about your individual ownership, the tools or checks you used, and the outcome. We are looking for a concrete example rather than a general description of data-cleaning best practices.
