Interactive Titanic Survival Analysis Dashboard

This project is a comprehensive and interactive dashboard designed to analyze and visualize the survival data of passengers from the historic Titanic disaster. The goal is to explore the dataset to uncover key factors that influenced the chances of survival.

The dashboard provides a clear, at-a-glance overview of crucial metrics and detailed breakdowns, allowing users to interact with the data and draw their own conclusions.

Key Features & Insights:

High-Level KPIs: The dashboard immediately presents essential figures, including the total number of passengers , total survivors , and the overall survival rate.

Dynamic Filtering: Users can dynamically filter the entire dashboard by key demographics such as Sex (male/female) , Passenger Class (PCLASS) , and Port of Embarkation (C, Q, S) to perform detailed, targeted analysis.

Survival Analysis by Gender: A clear bar chart visualizes the stark difference in survival numbers and rates between male and female passengers.

Impact of Socio-Economic Status: The "Survival Rate by PCLASS" chart effectively demonstrates how passenger class was a critical factor, with first-class passengers having a significantly higher survival rate.

Age-Based Insights: The analysis includes a breakdown of survival rates by different age groups, from children (0-10) to seniors (51+) , highlighting which groups were more likely to survive.

Fare & Survival Correlation: A scatter plot is used to explore the relationship between the fare paid, passenger age, and their survival outcome.

Tools Used:

This dashboard was developed using modern business intelligence tools (like Power BI or Tableau) to transform raw data into a powerful, visually engaging, and insightful report.