Titanic Data Analysis and Visualization

A data analysis project using Python, Pandas, and Matplotlib to explore the Titanic dataset. The project performs basic data analysis operations and creates visualizations to understand patterns and relationships within the dataset.

Features

• Loads and analyzes CSV data using Pandas
• Displays dataset information and statistical summary
• Calculates average passenger age
• Creates visualizations using Matplotlib
• Analyzes passenger distribution by class
• Shows relationship between age and fare
• Generates a correlation heatmap

Technologies Used

• Python
• Pandas
• Matplotlib
• CSV Dataset

Project Structure

CSV_Data_Analysis/
├── csv_analysis.py
├── titanic.csv
├── images/
│   ├── bar-chart.png
│   ├── heatmap.png
│   ├── scatter-plot.png
│   └── terminal-output.png
└── README.md

How to Run

1. Clone the repository

git clone git@github.com:vishakha-code27/python-data-analysis-visualization.git

2. Navigate to the project folder

cd python-data-analysis-visualization

3. Install required libraries

pip install pandas matplotlib

4. Run the Python file

python csv_analysis.py

Visualizations

Passenger Class Distribution

Age vs Fare Analysis

Correlation Heatmap

Terminal Output

Insights and Observations

• The dataset provides information about Titanic passengers and their characteristics.
• Passenger distribution varies across different classes.
• Age and fare relationships can be analyzed using scatter plots.
• Correlation heatmap helps identify relationships between numerical features.

Learning Outcomes

This project helped me learn:

• Data loading and analysis using Pandas
• Working with CSV datasets
• Data visualization using Matplotlib
• Understanding statistical summaries
• Extracting insights from data

Author

Vishakha Chavan

GitHub: https://github.com/vishakha-code27