Task 2: Data Visualization and Storytelling

🎯 Objective:

To create meaningful and engaging visualizations that tell a clear business story using the Superstore sales dataset.

🗃 Dataset Used:

SampleSuperstore.csv – contains order details like sales, profit, region, category, etc.

📊 Visualizations Created:

1. Sales by Region (Bar Chart)

   • South region shows the highest sales.
   • Insight: Targeted campaigns in high-performing regions may drive even more growth.

2. Profit by Category (Pie Chart)

   • Technology is the most profitable category.
   • Insight: Investing more in tech-related inventory could increase overall profit.

3. Top 10 Customers by Sales (Tree Map)

   • A few customers contribute a major portion of revenue.
   • Insight: These customers could be rewarded through loyalty programs.

4. Sales vs. Profit (Scatter Plot)

   • Shows relationship between sales and profit per product line.
   • Insight: Some products generate high sales but low or negative profit.

🛠 Tools Used:

• Tableau Public – for creating charts and dashboards.
• GitHub – to store project files.
• Screenshots – exported as images for visual report.

🧠 Key Learnings:

• Choosing the right chart helps communicate insights better.
• Avoiding clutter and using proper color schemes improves visual clarity.
• Adding context (titles, captions) turns charts into stories.

📎 Files Included:

• SampleSuperstore.csv (Dataset)
• Dashboard Screenshots (PNG/JPG)
• This README.md

✅ Task Submission:

This repository is part of the Data Analyst Internship (Task 2) and has been submitted via the official Google Form.