Easy challenge 2 of 56: customers joining in a half-open date range
customers joining in a half-open date range. Detect independent one-to-many fan-out and pre-aggregate to a common grain.
Choose one interview-style prompt. Technique labels stay hidden until you check your work, and the timer remains optional.
Confidence prompts, hidden variants, and timer-neutral attempts stay in the normal SQL workspace.
Feedback links result evidence, Query X-Ray, Mistake Notebook, and transfer review after checking.
stable top products under tied prices. Detect independent one-to-many fan-out and pre-aggregate to a common grain.
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customers joining in a half-open date range. Detect independent one-to-many fan-out and pre-aggregate to a common grain.
normalize and match messy city values. Detect independent one-to-many fan-out and pre-aggregate to a common grain.
count known versus all return dates. Detect independent one-to-many fan-out and pre-aggregate to a common grain.
conditional status labels with exact boundaries. Detect independent one-to-many fan-out and pre-aggregate to a common grain.
grouped order counts by channel. Detect independent one-to-many fan-out and pre-aggregate to a common grain.
groups above a threshold using HAVING. Detect independent one-to-many fan-out and pre-aggregate to a common grain.
customers with at least one completed order. Detect independent one-to-many fan-out and pre-aggregate to a common grain.
products with no sales. Detect independent one-to-many fan-out and pre-aggregate to a common grain.