{"id":28236785,"url":"https://github.com/wojtekdomino/titanic-eda","last_synced_at":"2025-06-10T13:31:30.689Z","repository":{"id":290418118,"uuid":"974383903","full_name":"wojtekdomino/titanic-eda","owner":"wojtekdomino","description":"Exploratory Data Analysis (EDA) of Titanic dataset using Pandas, Matplotlib, and Seaborn.","archived":false,"fork":false,"pushed_at":"2025-04-28T17:52:52.000Z","size":155,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-19T00:17:05.200Z","etag":null,"topics":["data-analysis","eda","matplotlib","pandas","python","seaborn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/wojtekdomino.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-04-28T17:35:38.000Z","updated_at":"2025-04-28T20:31:09.000Z","dependencies_parsed_at":"2025-04-28T18:54:26.278Z","dependency_job_id":null,"html_url":"https://github.com/wojtekdomino/titanic-eda","commit_stats":null,"previous_names":["wojtekdomino/titanic-eda"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wojtekdomino%2Ftitanic-eda","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wojtekdomino%2Ftitanic-eda/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wojtekdomino%2Ftitanic-eda/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wojtekdomino%2Ftitanic-eda/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/wojtekdomino","download_url":"https://codeload.github.com/wojtekdomino/titanic-eda/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wojtekdomino%2Ftitanic-eda/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":257711647,"owners_count":22589745,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-analysis","eda","matplotlib","pandas","python","seaborn"],"created_at":"2025-05-19T00:16:36.752Z","updated_at":"2025-06-10T13:31:30.651Z","avatar_url":"https://github.com/wojtekdomino.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Titanic Exploratory Data Analysis (EDA)\n\n## About\nThis project presents an Exploratory Data Analysis (EDA) on the famous Titanic dataset. The goal is to discover interesting patterns and insights regarding passenger survival.\n\n## Dataset\nThe Titanic dataset is available on [Kaggle](https://www.kaggle.com/c/titanic/data).\n\n## Technologies Used\n- Python 3\n- Pandas\n- NumPy\n- Seaborn\n- Matplotlib\n\n## Project Structure\n- **notebooks/** – Jupyter Notebook with EDA.\n- **data/** – Titanic dataset (train.csv).\n- **requirements.txt** – Required Python packages.\n\n## Key Insights\n- Female passengers had a significantly higher survival rate than males.\n- Passengers in first class had better chances of survival.\n- Younger passengers tended to survive more often.\n\n## How to Run\n1. Clone this repository.\n2. Install the requirements:\npip install -r requirements.txt\n3. Open `notebooks/eda_titanic.ipynb` and run all cells.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwojtekdomino%2Ftitanic-eda","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwojtekdomino%2Ftitanic-eda","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwojtekdomino%2Ftitanic-eda/lists"}