{"id":26064573,"url":"https://github.com/haroontrailblazer/eda","last_synced_at":"2025-04-11T14:10:52.574Z","repository":{"id":264590910,"uuid":"893770270","full_name":"haroontrailblazer/EDA","owner":"haroontrailblazer","description":"Exploratory Data Analysis","archived":false,"fork":false,"pushed_at":"2025-03-20T16:04:16.000Z","size":80300,"stargazers_count":7,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-25T10:21:21.727Z","etag":null,"topics":["data-analysis","data-science","data-visualization","jupyter-notebooks","matplotlib-python","numpy","pandas","python3","scipy"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/haroontrailblazer.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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}},"created_at":"2024-11-25T07:19:11.000Z","updated_at":"2025-03-20T16:04:19.000Z","dependencies_parsed_at":"2025-03-07T17:33:30.522Z","dependency_job_id":null,"html_url":"https://github.com/haroontrailblazer/EDA","commit_stats":null,"previous_names":["haroontrailblazer/data-visualization-and-exploratory-data-analysis","haroontrailblazer/datavisualization_and_exploratory_data_analysis","haroontrailblazer/eda"],"tags_count":1,"template":true,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haroontrailblazer%2FEDA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haroontrailblazer%2FEDA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haroontrailblazer%2FEDA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/haroontrailblazer%2FEDA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/haroontrailblazer","download_url":"https://codeload.github.com/haroontrailblazer/EDA/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248414137,"owners_count":21099420,"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","data-science","data-visualization","jupyter-notebooks","matplotlib-python","numpy","pandas","python3","scipy"],"created_at":"2025-03-08T18:41:27.452Z","updated_at":"2025-04-11T14:10:52.538Z","avatar_url":"https://github.com/haroontrailblazer.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Exploratory Data Analysis (EDA) Public Learning Repository\n\n## Overview\nWelcome to the EDA Public Learning Repository! This repository is dedicated to helping learners understand and perform Exploratory Data Analysis (EDA). It contains various Jupyter notebooks, datasets, and resources to guide you through the process of analyzing and visualizing data.\n\n## Contents\n- **data/**: Datasets used for analysis.\n- **notebooks/**: Jupyter notebooks for EDA.\n- **images/**: Visualizations generated during the analysis.\n- **README.md**: Project overview and instructions.\n- **resources/**: Additional learning materials and references.\n\n## Getting Started\n\n### Prerequisites\nTo get started, ensure you have the following installed:\n- Python 3.x\n- Jupyter Notebook\n- Necessary libraries (listed in `requirements.txt`)\n\n### Installation\nClone the repository:\n```sh\ngit clone https://github.com/haroontrailblazer/EDA-public-learning.git\ncd eda-public-learning\n```\nInstall the required libraries:\n```sh\npip install -r requirements.txt\n```\n\n### Usage\nNavigate to the notebooks/ directory and open the Jupyter notebook:\n```sh\njupyter notebook eda_example.ipynb\n```\nFollow the steps in the notebook to explore the data and generate visualizations.\n\n## Project Structure\n- **Data Loading and Cleaning**: Learn how to load and clean datasets.\n- **Descriptive Statistics**: Calculate and interpret summary statistics.\n- **Data Visualization**: Create and understand various plots and charts.\n- **Feature Engineering**: Generate new features from existing data.\n- **Correlation Analysis**: Analyze relationships between variables.\n\n## Contributions\nContributions are welcome! If you have any improvements, additional notebooks, or datasets to share, please fork the repository and submit a pull request.\n\n## Community\nJoin the community of learners and contributors:\n- **Discussions**: Participate in discussions here\n- **Issues**: Report bugs or request features here\n\n## Contact\nFor any questions or suggestions, feel free to reach out:\n- **Email**: haroonint144@gmail.com\n- **GitHub**: haroontrailblazer\n\n## License\nThis project is licensed under the MIT License. See the LICENSE file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fharoontrailblazer%2Feda","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fharoontrailblazer%2Feda","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fharoontrailblazer%2Feda/lists"}