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Rolling 30-Day Transaction Average

MediumSQL · PostgreSQL00:00
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Your question is Rolling 30-Day Transaction Average. Start with the requirements and the two tables on the right.

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Problem

Scotiabank's customer analytics team wants to monitor recent transaction behaviour. Write a PostgreSQL query that calculates a rolling 30-day average transaction amount for each active customer.

Use the current transaction date plus the preceding 29 calendar days, and calculate the average across non-null transactions in that window.

Requirements

  1. Join transactions to customers and include only active customers.
  2. Partition the window calculation by customer and order it by transaction date.
  3. Return each transaction with the customer's ID, name, date, amount, and rolling 30-day average, rounded to two decimal places.
  4. Sort the final results by customer ID and transaction date.

Schema

customers
ColumnTypeDescription
customer_idPKINTEGERUnique customer identifier
customer_nameVARCHAR(100)Customer's name
is_activeBOOLEANWhether the customer is currently active
transactions
ColumnTypeDescription
transaction_idPKINTEGERUnique transaction identifier
customer_idINTEGERCustomer associated with the transaction
transaction_dateDATEDate the transaction occurred
amountNUMERIC(12,2)Transaction amount
Tablescustomerstransactions
Your solutionPostgreSQL
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