This repository is a comprehensive resource for learning and applying statistical techniques, complete with theoretical explanations, practical Python implementations, and food domain-specific applications.

This project explores and analyzes food industry data to uncover sales trends, customer preferences, and market insights. Using data cleaning, visualization, and exploratory data analysis (EDA), it helps businesses make informed decisions, optimize strategies, and improve overall performance in the competitive food sector.