Your question is Identify Driver Churn Risk Factors. Start with the requirements and the three tables on the right.
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Write a PostgreSQL query that identifies likely drivers of driver churn in a Lyft market. Define churn as a driver who completed at least one ride in the month before the latest month in the dataset, then completed zero rides in the latest month. Return churn rate by market_id, tenure_bucket, support_bucket, and utilization_bucket.