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Retail Sales Data Analysis — SQL

A SQL-based data analysis project focused on exploring retail sales data and extracting meaningful business insights from transactional records.

Key areas covered: • Data exploration and preparation • Sales and revenue analysis • Product and category performance • Customer and transaction analysis • Aggregation using GROUP BY and HAVING • Filtering and conditional analysis using WHERE and CASE WHEN • JOINs and subqueries • CTEs for structured analysis • Window functions for ranking and comparative analysis

The project demonstrates how SQL can be used to transform transactional data into meaningful insights and answer practical business questions.