Data Analysis and Dashboard using Excel

Data Cleaning: The dataset was cleaned by removing missing values, correcting inconsistencies (e.g., changing "m" to "male" and "f" to "female"), and eliminating duplicates.

Age Level Classification: A new column was added to categorize age into levels

Exploratory Data Analysis (EDA): Analysis was conducted to uncover patterns related to bicycle purchases based on various demographic factors, such as:

Income Level ,Family Size,Education Level andAge Level