{"id":27498118,"url":"https://github.com/samuelson777/titanic-dataset-analysis","last_synced_at":"2026-04-16T19:07:16.175Z","repository":{"id":288109410,"uuid":"966867800","full_name":"Samuelson777/Titanic-Dataset-Analysis","owner":"Samuelson777","description":"Exploratory data analysis of the Titanic dataset, uncovering insights on passenger survival rates based on gender, age, and class. 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The dataset contains information about the passengers aboard the Titanic, including their age, sex, class, fare, and whether they survived.\n\n## Dataset\n\nThe dataset used for this analysis is the Titanic dataset, which can be found on [Kaggle](https://www.kaggle.com/c/titanic/data). The primary file used in this project is `train.csv`.\n\n## Objectives\n\n- Perform data cleaning and preprocessing.\n- Conduct exploratory data analysis (EDA) to visualize and understand the data.\n- Analyze survival rates based on various factors such as gender, age, and class.\n\n## Technologies Used\n\n- Python\n- Pandas\n- NumPy\n- Matplotlib\n- Seaborn\n\n## Analysis Steps\n\n- Data Loading: Load the Titanic dataset using Pandas.\n- Data Exploration: Explore the dataset to understand its structure and identify missing values.\n- Data Cleaning: Handle missing values and convert categorical variables into numerical formats.\n- Data Visualization: Create visualizations to analyze survival rates based on gender, age, and class.\n- Insights: Summarize findings and insights from the analysis.\n\n## Findings\n\n- Females had a higher survival rate compared to males.\n- Younger passengers had a higher chance of survival than older passengers.\n- Passengers in higher classes (1st class) had a better survival rate than those in lower classes (2nd and 3rd class).\n\n## Conclusion\n\nThis project demonstrates the process of exploratory data analysis using the Titanic dataset. The insights gained can help in understanding the factors that influenced survival during the Titanic disaster.\n\n## Acknowledgments\n\n- Kaggle for providing the Titanic dataset.\n- The data science community for their resources and tutorials that helped in completing this project.\n\n## License\nThis project is licensed under the MIT License - see the [LICENSE](https://github.com/Samuelson777/Titanic-Dataset-Analysis/blob/main/LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamuelson777%2Ftitanic-dataset-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsamuelson777%2Ftitanic-dataset-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamuelson777%2Ftitanic-dataset-analysis/lists"}