Titanic_EDA

This project performs Exploratory Data Analysis (EDA) on the Titanic dataset to understand the factors that influenced passenger survival. The analysis involves cleaning and preparing the data, exploring key variables such as age, gender, passenger class, fare, and embarkation port, and identifying patterns or relationships within the dataset.

Using data analysis tools such as Python, Pandas, and visualization libraries, the project examines survival rates across different groups of passengers and highlights important insights through charts and statistical summaries. The goal of this project is to demonstrate fundamental data analysis skills, including data cleaning, data exploration, and visualization, while gaining insights from a real-world historical dataset