https://github.com/wojtekdomino/titanic-eda
Exploratory Data Analysis (EDA) of Titanic dataset using Pandas, Matplotlib, and Seaborn.
https://github.com/wojtekdomino/titanic-eda
data-analysis eda matplotlib pandas python seaborn
Last synced: about 1 year ago
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Exploratory Data Analysis (EDA) of Titanic dataset using Pandas, Matplotlib, and Seaborn.
- Host: GitHub
- URL: https://github.com/wojtekdomino/titanic-eda
- Owner: wojtekdomino
- Created: 2025-04-28T17:35:38.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-28T17:52:52.000Z (about 1 year ago)
- Last Synced: 2025-05-19T00:17:05.200Z (about 1 year ago)
- Topics: data-analysis, eda, matplotlib, pandas, python, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 151 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Titanic Exploratory Data Analysis (EDA)
## About
This project presents an Exploratory Data Analysis (EDA) on the famous Titanic dataset. The goal is to discover interesting patterns and insights regarding passenger survival.
## Dataset
The Titanic dataset is available on [Kaggle](https://www.kaggle.com/c/titanic/data).
## Technologies Used
- Python 3
- Pandas
- NumPy
- Seaborn
- Matplotlib
## Project Structure
- **notebooks/** – Jupyter Notebook with EDA.
- **data/** – Titanic dataset (train.csv).
- **requirements.txt** – Required Python packages.
## Key Insights
- Female passengers had a significantly higher survival rate than males.
- Passengers in first class had better chances of survival.
- Younger passengers tended to survive more often.
## How to Run
1. Clone this repository.
2. Install the requirements:
pip install -r requirements.txt
3. Open `notebooks/eda_titanic.ipynb` and run all cells.