CodeAlpha Data Analytics Internship

Exploratory Data Analysis & Data Visualization

📌 Project Overview

This project is part of the CodeAlpha Data Analytics Internship. The objective is to perform Exploratory Data Analysis (EDA) and Data Visualization on a retail Superstore dataset to extract meaningful business insights.

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📊 Dataset

• Dataset: Superstore Sales Dataset
• Format: CSV
• Records: 9,994 rows and 21 columns

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🔍 Exploratory Data Analysis (EDA)

The following analysis was performed:

• Dataset structure and size
• Data types identification
• Missing values check
• Statistical summary
• Category-wise sales analysis
• Region-wise profit analysis

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📈 Data Visualization

Visualizations created using Matplotlib and Seaborn:

• Sales by Category (Bar Chart)
• Profit by Region (Bar Chart)
• Sales Distribution (Histogram)

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🧠 Key Insights

• Technology category generates the highest sales and profit.
• The West region is the most profitable region.
• Most sales values are concentrated in the lower range, with few high-value orders.

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🛠 Tools & Technologies

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• VS Code

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✅ Internship Tasks Completed

• Task 2: Exploratory Data Analysis
• Task 3: Data Visualization

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📌 Author

Aaryan
CodeAlpha Data Analytics Intern