Data Handling & Analysis Project

Description

This is a Python project focused on cleaning, analyzing, and visualizing the Titanic dataset. The project demonstrates basic data handling, exploratory data analysis (EDA), and visualization skills using Python. It is designed for beginners looking to showcase Python and data analysis skills.

Dataset

• The project uses the Titanic dataset from Kaggle.
• The dataset contains information about passengers, including age, gender, class, fare, and survival status.

Features

• Cleaned missing values in Age and Embarked columns.
• Performed exploratory data analysis to understand survival patterns.
• Analyzed survival rates by passenger class and gender.
• Created visualizations using Matplotlib and Seaborn.

Technologies Used

• Python
• Pandas
• Matplotlib
• Seaborn

How to Run

1. Download the titanic.csv dataset from Kaggle and place it in the project folder.
2. Open the Python script data_analysis.py.
3. Run the script using Python:

The script will display data insights and generate visualizations.

Insights

Total survivors vs non-survivors.

Survival rate by Passenger Class: 1st class had the highest survival rate.

Survival rate by Gender: Females had a higher survival rate than males.

Visual charts help to easily interpret survival trends.
python data_analysis.py