CodeAlpha Data Analytics Internship - Task 2 (EDA)

Project Overview

This project performs Exploratory Data Analysis (EDA) on the Titanic Dataset.

Objectives

• Understand dataset structure
• Identify missing values
• Analyze survival patterns
• Visualize important relationships

Technologies Used

• Python
• Pandas
• Seaborn
• Matplotlib

Analysis Performed

1. Data Overview
2. Missing Value Analysis
3. Survival Distribution
4. Survival by Gender
5. Survival by Passenger Class
6. Age Distribution
7. Correlation Analysis

Key Findings

• Female passengers had a higher survival rate.
• First-class passengers survived more frequently.
• Most passengers were between 20 and 40 years old.
• Some age values were missing.

Author

Govind Pandey