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https://github.com/cyberfantics/titanic-dataset-analysis


https://github.com/cyberfantics/titanic-dataset-analysis

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# Titanic Dataset Analysis

## Overview

This project analyzes the Titanic dataset to explore factors affecting passenger survival. The dataset includes features such as class, sex, fare, and survival status.

## Key Steps

1. **Data Cleaning**:
- Removed columns with many missing values (`Cabin`, `Age`).
- Dropped unnecessary columns (`PassengerId`, `Name`, `Ticket`).

2. **Exploration & Visualization**:
- Analyzed survival by gender, class, and embarkation point.
- Visualized sibling distribution and its impact on survival.

## Findings

- **Gender**: Higher survival rates for females.
- **Class**: Higher-class passengers had better survival chances.
- **Embarkation**: Survival patterns varied by embarkation point.

## Usage

1. Clone the repository:
```bash
git clone https://github.com/cyberfantics/pdf-merger
```

2. Install dependencies:
```pip install pandas matplotlib seaborn```

## Contact
Presented by: Mansoor Bukhari