This project focuses on data cleaning, transformation, and dashboard creation using a bike buyers dataset. It includes Pivot Tables, slicers, visualizations, and statistical insights to analyze trends based on income, age, occupation, and other key factors. Insights help understand customer behavior, purchasing patterns, and decision-making trends.

I developed a detailed project in Excel, creating multiple dashboards and tables to analyze and interpret the data. The project included several key stages, such as data preprocessing, cleaning, and visualization, ensuring the data was organized, accurate, and effectively presented.