This project analyzes a dataset of individuals, including factors like income, gender, family size, and bike purchases, using an interactive Excel dashboard to uncover trends and insights.

This repository contains an interactive dashboard created using Excel and Google Sheets to analyze and visualize data related to bike purchases. The dashboard provides insights into various factors influencing bike purchases, such as customer demographics, purchase trends, and bike specifications.

Data Wrangling, EDA using Pivot tables and Dashboard Visualization of Bike Purhasers to analyse the possible patterns and factors behind the Bike purchasing consumers. ETL,Storytelling,Web Scraping & Data Integration using Excel and Power Query

This project involves analyzing data from the 'bike buyers' dataset. The goal is to simulate purchase trends, identify behavioral patterns, and build an interactive dashboard to visualize key insights and analytics

This repository focuses on analyzing potential bike buyers data to uncover key trends and factors influencing their purchasing decisions. It involves data cleaning, creating pivot tables, and building visualizations and a dashboard using Microsoft Excel.

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Interactive Excel dashboard analyzing customer demographics and bike purchasing trends.

Excel dashboard analyzing bike purchase behavior by income, gender , age ,commute distance , and education.

Excel-based Bike Sales Dashboard analyzing customer purchase behavior using Pivot Tables and Data Visualization.

Bike Sales Dashboard is an interactive Excel dashboard that analyzes bike purchase trends based on customer demographics, income levels, and commute distances. It features dynamic slicers, pivot charts, and visual insights to help understand purchasing behavior.

Excel project on Bike Sales – data cleaning, transformation & dashboard to analyze customer trends and purchase behavior

Data analysis and interactive Excel dashboard exploring customer demographics, income, commute distance, and bike purchasing behavior.

Advanced Excel dashboard analyzing customer demographics and factors influencing bike purchases using pivot tables and interactive slicers.

This Excel Dashboard analyze demographic data to understand the factors influencing bike purchases. The dataset contains detailed information about individuals, including their income, marital status, education, and whether they have purchased a bike.

Dashboard containing insights received from conducting rigorous data analysis on raw 'Bike purchase' data sourced from the internet

It's a practice Project. Developed an interactive Excel dashboard to analyze customer behavior, income levels, and purchase patterns. The dashboard also explores the relationship between commute distance and bike purchases.

This repository contains a comprehensive Bike Sales Dashboard created using Excel. The dashboard provides insights into customer demographics, purchase behavior, and other relevant metrics to help understand the factors driving bike sales.

This dashboard contains the analysis and visualisation of a sample data of people that purchase bike and their personal details.

An interactive Excel dashboard analyzing bike purchase patterns based on customer demographics and lifestyle factors. This project visualizes key relationships between income levels, age, commuting distance, and bike purchasing decisions, helping identify target customer segments for marketing strategies.

Built an interactive Bike Sales Dashboard using Excel to analyze customer demographics, income, and purchase patterns to identify key sales drivers.

This interactive dashboard provides a comprehensive analysis of bike sales data for the year 2022. It explores various factors influencing bike purchases, including customer demographics, commute habits, and regional preference.

Excel dashboard analyzing bike purchases by age, gender, income, commute distance, and more, with interactive insights using pivot tables, slicers, and data cleaning techniques.

I have recently completed a dynamic dashboard project that examines the correlation between bike purchasing behavior and income distribution across various demographics, geographies, and vocations.

This dashboard analyzes bike sales performance with key metrics such as customer demographics, numbers of purchases and region. It includes interactive charts and slicers that allow users to explore the dashboard.

Bike Sales Dashboard is a data visualization project that analyzes customer demographics and purchasing behavior. It highlights insights such as bike purchases by age group, gender, commute distance, education, marital status, and region, helping identify patterns that influence buying decisions and support data-driven sales strategies.

This project analyzes bike sales data using Microsoft Excel. The goal was to clean raw data, perform exploratory analysis, and build an interactive dashboard to uncover customer purchasing patterns. The analysis focuses on customer demographics, commute distance, income level, and age bracket to identify trends influencing bike purchases.

This Bike Sales Dashboard provides a snapshot of key sales trends, segmented by demographic factors such as Gender, Marital Status, Region, Education, and customer behaviors like Commute Distance and Age Group. The dashboard allows for a comprehensive understanding of how different groups contribute to bike purchases.

This project delivers a professional two-page Power BI dashboard analyzing bike buyer demographics and purchasing behavior. Using a dataset of 1,000 customers, the dashboard reveals who buys bikes and why, comparing buyers vs non-buyers across income, age, education, region, commute distance, and family size.

This project analyzes Bike Sales data using Microsoft Excel to understand the factors influencing customers' bike purchasing decisions. The dataset was cleaned, processed, and transformed into an interactive dashboard that allows users to explore sales trends and customer demographics.