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SQL Aggregation : Transaction Analysis by Month and Country

In this SQL problem-solving session, we focus on analyzing transactions by month and country while calculating key metrics such as total transactions, approved transactions, total transaction amounts, and approved amounts. Using real-world sample data, we demonstrate how to efficiently group and aggregate data using SQL techniques such as CASE statements, GROUP BY, and SUM functions. This session provides valuable insights into handling transactional data for financial or business analytics. This video is perfect for data analysts, SQL learners, and professionals working with transaction datasets, helping them understand how to derive meaningful insights from structured data. Table creation & insertion script: CREATE TABLE transactions( id INT, country VARCHAR(100), state VARCHAR(100), amount INT, trans_date DATE ); INSERT INTO transactions(id,country,state,amount,trans_date) VALUES (121,'US','approved',1000,'2018-12-18'), (122,'US','declined',2000,'2018-12-19'), (123,'US','approved',2000,'2019-01-01'), (124,'DE','approved',2000,'2019-01-07'); #sql #dataanalytics #dataprocessing #transactions #groupby #aggregation #casewhen #financialanalysis