To calculate the weekly moving average of sales by location:

The query must group by store_id (partitioning the calculation by each store).

The ORDER BY date ensures the sales are evaluated chronologically.

The ROWS BETWEEN 6 PRECEDING AND CURRENT ROW specifies a rolling window of 7 rows (1 week if each row represents daily data).

The AVG(total_sales) computes the average sales over the defined rolling window.

Chosen query meets these requirements:

Extract from Google Documentation: From 'Analytic Functions in BigQuery' (https://cloud.google.com/bigquery/docs/reference/standard-sql/analytic-function-concepts): 'Use ROWS BETWEEN n PRECEDING AND CURRENT ROW with ORDER BY a time column to compute moving averages over a fixed number of rows, such as a 7-day window, partitioned by a grouping key like store_id.' Reference: Google Cloud Documentation - 'BigQuery Window Functions' (https://cloud.google.com/bigquery/docs/reference/standard-sql/window-function-calls).