Searching…
This Excel dashboard provides a detailed analysis of bike sales data, offering insights into customer demographics, purchasing behavior, and commute patterns. The goal was to make data-driven decisions clearer through...
at Object.next (https://www.kaggle.com/static/assets/app.js?v=fae963a510f6485ba0a1:2:986858) at ce (https://www.kaggle.com/static/assets/app.js?v=fae963a510f6485ba0a1:2:985397) at i (https://www.kaggle.com/static/asse...
Understanding customer behavior and sales performance is crucial for any business, especially in the competitive world of retail. In this portfolio project, I showcase how I utilized Microsoft Excel to analyze bike sa...
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.
This bike sales analysis project demonstrates the untapped potential of Microsoft Excel for analyzing bike sales data.
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.
Below is a breakdown of the key tables: Calendar – Contains date-related information, useful for analyzing sales trends over time. Product – Stores details of individual products, including names, categories, prices, ...
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 ...
In my latest project, I embarked on a comprehensive analysis of bike sales, focusing on customer demographics and purchasing patterns. Using Excel, I transformed raw data into an insightful and interactive dashboard.
