Superstore Sales Dashboard Tableau

Abstract

1. Introduction

In the world of retail, data-driven decisions are the difference between growth and stagnation. This project showcases a comprehensive Tableau dashboard that transforms raw sales data into clear, actionable insights.

Aspiring Data Analyst | Tableau & Power BI Enthusiast | Turning Numbers into Narratives

Data Cleaning and preprocessing were performed in Excel before visualization.

2. Objective

Interactive Tableau dashboard for analyzing Superstore sales, profit trends, top products, customer segments, and regional performance.

This project demonstrates how Tableau can be applied to a real-world Data Science problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• See the project README for exact requirements
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/VedikaSankhe/superstore-sales-dashboard-tableau.git
cd superstore-sales-dashboard-tableau

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Turn the analysis into an interactive dashboard
• Automate data refresh with a scheduled job
• Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. What is the source of the dataset and how was missing data handled?
2. Which exploratory analysis steps revealed the most useful insight?
3. Why were these particular charts chosen to present the data?
4. Which statistical or ML technique supports the conclusions?
5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by VedikaSankhe and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.