GLOBAL-SALES-DASHBOARD

🌍 Global Sales Dashboard (R Shiny)

An interactive business intelligence dashboard built using R, Shiny, dplyr, ggplot2, and plotly.

This project analyzes global sales performance across regions, years, categories, and products with executive-level KPIs and dynamic filtering.

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🚀 Live Features

• 📊 Multi-dimensional filtering (Region & Year)
• 💰 Total Sales KPI
• 📈 Total Profit KPI
• 📊 Profit Margin (%)
• 📈 Year-over-Year Growth Indicator
• 📦 Top 10 Products Analysis
• 🌎 Regional Sales Comparison
• 📈 Interactive Sales Trend Visualization
• 🎨 Modern sidebar layout (Power BI-style design)

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🧠 Business Insights Delivered

This dashboard helps answer key executive questions:

• Which region drives the most revenue?
• How has sales grown year-over-year?
• What is the profit margin performance?
• Which products generate the highest sales?
• How do categories compare across regions?

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🛠 Tech Stack

• R
• Shiny
• dplyr
• ggplot2
• plotly
• bslib
• scales

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📁 Project Structure

GLOBAL-SALES-DASHBOARD/ │ ├── app/ # Shiny App │ └── app.R │ ├── data/ # Cleaned dataset │ ├── R/ # Data cleaning scripts │ ├── renv/ # Reproducible environment │ └── README.md

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📌 Skills Demonstrated

• Data cleaning & transformation
• Exploratory Data Analysis (EDA)
• Interactive dashboard development
• Reactive programming in Shiny
• KPI calculation logic
• Business performance analytics
• Data visualization best practices
• Git & GitHub version control

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🎯 Project Goal

To build a portfolio-ready business analytics dashboard suitable for remote Data Analyst and Business Intelligence roles.

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📬 Author

Bushra Baloch

Aspiring Data Analyst | Business Intelligence Enthusiast
Skilled in R, Data Visualization & Interactive Dashboards

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⭐ If you found this project interesting, feel free to connect!