{"id":26635996,"url":"https://github.com/codesaadumair/exploratory-data-analysis","last_synced_at":"2025-03-24T16:15:59.815Z","repository":{"id":283944538,"uuid":"953361773","full_name":"CodeSaadUmair/Exploratory-Data-Analysis","owner":"CodeSaadUmair","description":"A centralized repository showcasing various Exploratory Data Analysis (EDA) projects using Jupyter notebooks, visualizations, and accompanying documentation.","archived":false,"fork":false,"pushed_at":"2025-03-23T07:23:23.000Z","size":7158,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-23T08:24:18.770Z","etag":null,"topics":["data-analysis","data-science","data-visualization","eda","jupyter-notebook","jupyterlab","python"],"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/CodeSaadUmair.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}},"created_at":"2025-03-23T07:14:18.000Z","updated_at":"2025-03-23T07:25:51.000Z","dependencies_parsed_at":"2025-03-23T08:34:40.878Z","dependency_job_id":null,"html_url":"https://github.com/CodeSaadUmair/Exploratory-Data-Analysis","commit_stats":null,"previous_names":["codesaadumair/exploratory-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeSaadUmair%2FExploratory-Data-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeSaadUmair%2FExploratory-Data-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeSaadUmair%2FExploratory-Data-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/CodeSaadUmair%2FExploratory-Data-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/CodeSaadUmair","download_url":"https://codeload.github.com/CodeSaadUmair/Exploratory-Data-Analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245304872,"owners_count":20593626,"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","eda","jupyter-notebook","jupyterlab","python"],"created_at":"2025-03-24T16:15:58.976Z","updated_at":"2025-03-24T16:15:59.809Z","avatar_url":"https://github.com/CodeSaadUmair.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Exploratory Data Analysis Monorepo\n\nWelcome to the **Exploratory Data Analysis Monorepo** – a centralized repository that contains a collection of Exploratory Data Analysis (EDA) projects. This monorepo is designed to showcase various data analysis techniques, visualizations, and insights across multiple datasets.\n\n## About\n\nThis repository serves as a portfolio of EDA projects demonstrating skills in data exploration, statistical analysis, and visualization. Each project is organized into its own subdirectory containing Jupyter notebooks and accompanying documentation (README files).\n\n## Topics Covered\n\n- **Data Cleaning \u0026 Preprocessing:** Techniques for handling missing values, data normalization, and transformation.\n- **Data Visualization:** Interactive plots, charts, and dashboards using libraries like Matplotlib, Seaborn, and Plotly.\n- **Statistical Analysis:** Exploratory techniques to uncover patterns, correlations, and trends.\n- **Machine Learning Insights:** Preliminary explorations for supervised and unsupervised learning tasks.\n- **Big Data Exploration:** Analysis of larger datasets using optimized libraries and efficient computation techniques.\n\n## Repository Structure\n\nEach project folder contains:\n\n- **Jupyter Notebooks (.ipynb):** Interactive documents that combine code, visualizations, and narrative text.\n- **README.md:** Project-specific documentation describing objectives, methods, and results.\n- **Datasets (Optional):** Sample datasets used in the analysis (if applicable).\n\n## Contributing\n\n- Contributions to enhance or add new EDA projects are welcome! To contribute:\n\n  1. Fork this repository.\n  2. Create a new branch for your project or improvements.\n  3. Add your project folder (or update an existing one) with the necessary notebooks and documentation.\n  4. Open a pull request with a detailed description of your changes.\n\nPlease follow the repository’s code style and documentation guidelines.\n\n\n## Contact\n\nFor questions, suggestions, or collaborations, please reach out at **saadumair432@gmail.com**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodesaadumair%2Fexploratory-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcodesaadumair%2Fexploratory-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcodesaadumair%2Fexploratory-data-analysis/lists"}