{"id":27772313,"url":"https://github.com/iamnotadams12/python-project","last_synced_at":"2025-04-29T23:58:35.713Z","repository":{"id":289963375,"uuid":"972946909","full_name":"Iamnotadams12/python-project","owner":"Iamnotadams12","description":"Annalysing the covid dataset using the python  library like numpy, pandas, matplotlib and seaborn.","archived":false,"fork":false,"pushed_at":"2025-04-29T23:01:48.000Z","size":1376,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-29T23:58:31.410Z","etag":null,"topics":["data-analysis","data-science","docker","hacktoberfest-accepted","learn-to-code","learning-python","machine-learning","project","python","python-programming-exercises","python4datascience","python4everybody","student-vscode","tutor-milaan9"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":false,"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/Iamnotadams12.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":"2025-04-26T00:14:04.000Z","updated_at":"2025-04-29T23:01:52.000Z","dependencies_parsed_at":"2025-04-26T03:04:26.489Z","dependency_job_id":null,"html_url":"https://github.com/Iamnotadams12/python-project","commit_stats":null,"previous_names":["iamnotadams12/python-project"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Iamnotadams12%2Fpython-project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Iamnotadams12%2Fpython-project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Iamnotadams12%2Fpython-project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Iamnotadams12%2Fpython-project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Iamnotadams12","download_url":"https://codeload.github.com/Iamnotadams12/python-project/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251602817,"owners_count":21615963,"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","docker","hacktoberfest-accepted","learn-to-code","learning-python","machine-learning","project","python","python-programming-exercises","python4datascience","python4everybody","student-vscode","tutor-milaan9"],"created_at":"2025-04-29T23:58:35.119Z","updated_at":"2025-04-29T23:58:35.705Z","avatar_url":"https://github.com/Iamnotadams12.png","language":"Python","readme":"# COVID-19 Data Analysis with Python 🦠📊\n\n![Python](https://img.shields.io/badge/Python-3.8%2B-blue.svg) ![NumPy](https://img.shields.io/badge/Numpy-1.21%2B-orange.svg) ![Pandas](https://img.shields.io/badge/Pandas-1.3%2B-green.svg) ![Matplotlib](https://img.shields.io/badge/Matplotlib-3.4%2B-red.svg) ![Seaborn](https://img.shields.io/badge/Seaborn-0.11%2B-purple.svg)\n\nWelcome to the **python-project** repository! This project focuses on analyzing COVID-19 datasets using popular Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn. Our goal is to provide insights into the pandemic through data visualization and analysis.\n\n## Table of Contents\n\n- [Project Overview](#project-overview)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Features](#features)\n- [Contributing](#contributing)\n- [License](#license)\n- [Releases](#releases)\n- [Contact](#contact)\n\n## Project Overview\n\nIn this project, we explore various COVID-19 datasets to extract meaningful information. The analysis includes:\n\n- Daily case counts\n- Vaccination rates\n- Trends over time\n- Geographic distributions\n\nBy utilizing libraries like NumPy for numerical operations, Pandas for data manipulation, and Matplotlib and Seaborn for visualization, we aim to present data in a clear and engaging manner.\n\n## Installation\n\nTo get started, clone this repository to your local machine:\n\n```bash\ngit clone https://github.com/Iamnotadams12/python-project.git\n```\n\nNext, navigate to the project directory:\n\n```bash\ncd python-project\n```\n\nYou can install the required libraries using pip:\n\n```bash\npip install numpy pandas matplotlib seaborn\n```\n\n## Usage\n\nTo run the analysis, execute the main script:\n\n```bash\npython main.py\n```\n\nThis will load the dataset and generate visualizations that summarize the findings.\n\nFor detailed instructions, please refer to the code comments within the scripts.\n\n## Features\n\n- **Data Loading**: Easily load various COVID-19 datasets.\n- **Data Cleaning**: Handle missing values and outliers.\n- **Visualization**: Create charts and graphs to represent data clearly.\n- **Statistical Analysis**: Perform basic statistical analysis to uncover trends.\n\n## Contributing\n\nWe welcome contributions! If you have suggestions or improvements, feel free to fork the repository and submit a pull request. Please ensure your code adheres to the existing style and includes appropriate documentation.\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.\n\n## Releases\n\nFor the latest releases, visit our [Releases](https://github.com/Iamnotadams12/python-project/releases) page. You can download the files and execute them locally to see the analysis in action.\n\n## Contact\n\nFor questions or feedback, please reach out to the project maintainer at [Iamnotadams12](https://github.com/Iamnotadams12).\n\nThank you for your interest in the **python-project**! We hope you find it useful for understanding COVID-19 data better.","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiamnotadams12%2Fpython-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fiamnotadams12%2Fpython-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiamnotadams12%2Fpython-project/lists"}