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Rolling Average with Window Functions
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Rolling Average with Window Functions

MediumSQL · PostgreSQL

Problem

Write a query using SQL window functions to calculate a rolling average of sales over the last 30 days.

Use the sales and stores tables. Calculate the rolling average independently for each store, based on daily sales totals. Treat the current date as part of the 30-day period.

Output

  1. One row per store and sales date with sales activity.
  2. Columns: store_name, sale_date, daily_sales, and rolling_30_day_avg.
  3. Include only stores matched to sales records, and order by store_name, then sale_date ascending.

Schema

stores
ColumnTypeDescription
store_idPKINTUnique store identifier
store_nameVARCHAR(100)Store display name
sales
ColumnTypeDescription
sale_idPKINTUnique sale identifier
store_idINTStore associated with the sale
sale_dateDATEDate of the sale
amountNUMERIC(12,2)Sale amount
Tablessalesstores
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Your question is Rolling Average with Window Functions. Start with the requirements and the two tables in the Question tab.

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