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SQL Query for Identifying Multiple Payments
Database queries are essential for data analysis. This example focuses on the PAYMENT
table, containing user IDs, account numbers, ZIP codes, and payment dates. The goal is to pinpoint users who made multiple payments on the same day using the same account number but from different ZIP codes.
We can achieve this using SQL's HAVING
clause, which filters grouped results. Here's a query to accomplish this:
<code class="language-sql">SELECT user_id, account_no, date, COUNT(*) AS payment_count FROM (SELECT DISTINCT user_id, account_no, zip, date FROM payment) AS distinct_payments GROUP BY user_id, account_no, date HAVING COUNT(*) > 1;</code>
This query first uses a subquery (distinct_payments
) to eliminate duplicate entries based on user_id
, account_no
, zip
, and date
. The main query then groups the remaining records by user_id
, account_no
, and date
, counting payments for each group. The HAVING
clause ensures only groups with more than one payment (indicating multiple payments from different ZIP codes on the same day) are returned. The payment_count
column shows the number of payments for each qualifying user.
This approach effectively identifies suspicious activity where a user might be using multiple locations for transactions on the same day with the same account.
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