VI
vinaykumar2331/Titanic-Dataset-Analysis-in-Power-BI-Passenger-Survival-Rate
This Power BI dashboard presents an interactive and insightful analysis of the Titanic passenger survival rates based on various demographic and travel-related factors. The dashboard leverages the historic Titanic dataset to explore patterns in survival outcomes and uncover key insights.
🚢 Titanic Dataset - Power BI Dashboard
This repository presents an interactive Power BI Dashboard built on the historical Titanic dataset. The dashboard helps visualize survival patterns, demographic distributions, and embarkation details of Titanic passengers.
📊 Dashboard Summary
The dashboard provides insights into:
- Total Passengers: 148
- Survivors: 92 (62.16%)
- Average Age: 37.27 years
- Average Fare: $74.03
📌 Key Visualizations
🧑🤝🧑 Survival Analysis
- Donut chart showing survival distribution (62% survived).
- Survival rates by Gender: Higher survival for females.
- Survival rates by Passenger Class: 1st class had the highest survival.
👶 Age Category
- Majority passengers were Adults (74%).
- Smaller portions were Children and Senior Citizens.
🌍 Embarkation Map
- Interactive map shows ports (Cherbourg, Queenstown, Southampton).
- Port-based survival filtering enabled.
🧩 Filters
- Dynamic slicers to filter by Location, Age Group, and Survival Status.
📦 Tools Used
- Power BI Desktop
- Power Query (M language)
- DAX (Data Analysis Expressions)
🏷️ Tags
titanic-dataset
powerbi
data-visualization
dashboard
data-analysis
interactive-dashboard
business-intelligence
dax
power-query
m-language
data-storytelling
analytics
public-datasets