Titanic Data Analysis using Python and NumPy

Project Overview

This project presents an analytical study of the Titanic dataset using Python. The objective is to extract meaningful insights regarding passenger demographics and survival patterns through data exploration and statistical analysis.

Technologies Used

Python NumPy Pandas Matplotlib Jupyter Notebook

Analysis Performed

The following analyses were conducted as part of this project:

Calculation of total number of passengers Comparison of male versus female passenger counts Determination of overall survival count Calculation of survival percentage Computation of average passenger age Identification of missing values within the dataset Data filtering based on relevant parameters Statistical calculations to summarize key trends

Dataset

The dataset used for this analysis is the Titanic Dataset, sourced from Kaggle.