FinancialTrendAnalyzer helps analyze and visualize sales data to uncover financial trends. It uses Python to calculate total sales, track changes, and generate insightful charts for better decision-making.

This repository contains configuration files for analysing & visualising data obtained from Southern Prefecture Restaurant.

SQL-based coffee shop sales analysis to uncover insights on revenue, trends, product performance, and store metrics for data-driven decision-making and optimization.

Hands-on SQL data analysis project for music store. Enhance proficiency with database queries. Ideal for practitioners seeking real-world analytics experience. Gain insights into customer behavior, revenue trends, and genre preferences, empowering strategic decision-making in the music industry. Explore the project for a rich learning experience.