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This excel dashboard provides a detailed analysis of bike sales data, offering insights into customer demographics, purchasing behavior, and commute patterns Using excel, i transformed raw data into an insightful and interactive dashboard. Understanding customer behavior and sales performance is crucial for any business, especially in the competitive world of retail

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In this portfolio project, i showcase how i utilized microsoft excel to analyze bike sales data, uncover insights, and provide actionable recommendations. In my latest project, i embarked on a comprehensive analysis of bike sales, focusing on customer demographics and purchasing patterns Below is a breakdown of the key tables

By leveraging pivot tables, dashboards, and slicers, this project provides an interactive and insightful view of various metrics related to bike sales, helping users explore and understand the data effectively.

In this project, i analyse a fictional dataset (source Kaggle datasets) about bike sales The dataset is comprised of information such as order details, product names, revenue, profit and customers' age and gender. United states has the most sales, while france has the least amount of sales

Bikes carry a whopping 64% share of the profits This repository contains a comprehensive dataset of global bike sales from 2017 to 2021, including customer demographics, product categories, and financial metrics. The dataset consists of bike sales data with fields like customer info (age, marital status, gender), sales data (purchase status, income), and demographics (education level, region) It contains inconsistencies like text formatting issues and missing values, which are addressed in this project.