Quick Summary
- Calculate the median search count from a compressed frequency table where each row represents multiple users.
- Handle both odd and even total user counts by averaging the two middle values when necessary.
- Return the result rounded to one decimal place.
What This Tests
- Working with aggregated or frequency-distributed data instead of granular records.
- Determining positional indices within a logically expanded dataset.
- Combining aggregate calculations with row-level filtering to isolate median candidates.
- Handling edge cases like single-row tables or uniform distribution counts.
Common Patterns
Window Function
Cumulative Sum
Inner Join
Aggregation
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Test Cases
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