Global Superstore Sales Data Analysis (university project)

This project revolves around the analysis of the Global Superstore dataset, a comprehensive collection of information regarding sales and orders from a fictitious multinational retail organization. The dataset, available on Kaggle, spans multiple years and provides a wealth of details, such as sales figures, customer demographics, and shipping data. This extensive dataset facilitates the exploration of trends, patterns, and correlations across various dimensions, aiding in the understanding of retail operations on a global scale.

The project involved several steps including data cleaning, exploratory data analysis (EDA), and statistical analysis to discover patterns and relationships within the dataset.

Sales data was analyzed across different regions, product categories, and customer segments to identify key trends and business opportunities. Visualizations were created to highlight important insights such as top-performing products, regional sales distribution, and profit trends.

The analysis helped reveal factors affecting sales performance and provided insights that could support better business decision-making.