This is a premium problem. We're working on making it available for free soon.
Explore Free ProblemsSolutions for this premium problem will be available for free soon.
Watch expert explanations and walkthroughs
Jot down your thoughts, approach, and key learnings
Yes, many solutions use the built-in PERCENT_RANK() function with PARTITION BY and ORDER BY. It automatically calculates the relative rank between 0 and 1, which can then be scaled to a percentage if required.
The optimal approach uses SQL window functions such as PERCENT_RANK(), RANK(), or DENSE_RANK() combined with PARTITION BY. These functions allow you to compute relative rankings within groups and convert them into percentages efficiently.
SQL ranking and window function problems are common in data-focused interview rounds at large tech companies. Variations of ranking, percentiles, and partitioned analytics are frequently tested.
Window functions are the key concept. They allow calculations like ranking and counting to be performed across partitions of rows while still returning individual row results.