{"id":19467911,"url":"https://github.com/venkat-a/python-eda-exploratory-data-analysis-","last_synced_at":"2026-05-07T09:36:17.629Z","repository":{"id":227436064,"uuid":"771425744","full_name":"venkat-a/Python-EDA-Exploratory-Data-Analysis-","owner":"venkat-a","description":"This project focuses on conducting exploratory data analysis (EDA) using Python. Utilizing powerful libraries such as Pandas for data manipulation and Plotly for interactive visualization, the project aims to uncover insights from datasets through comprehensive analysis and visualization techniques.","archived":false,"fork":false,"pushed_at":"2024-03-21T02:53:00.000Z","size":698,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-10T13:07:04.525Z","etag":null,"topics":["descriptive-statistics","matplotlib","numpy","pandas","seaborn","statistical-analysis","visualization"],"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/venkat-a.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":"2024-03-13T09:24:59.000Z","updated_at":"2024-03-21T02:53:03.000Z","dependencies_parsed_at":"2024-11-10T18:39:08.257Z","dependency_job_id":"31a0376b-a1d5-406c-a6d4-91cb3ed2e8f7","html_url":"https://github.com/venkat-a/Python-EDA-Exploratory-Data-Analysis-","commit_stats":null,"previous_names":["venkat-a/python-eda-exploratory-data-analysis-"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/venkat-a/Python-EDA-Exploratory-Data-Analysis-","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/venkat-a%2FPython-EDA-Exploratory-Data-Analysis-","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/venkat-a%2FPython-EDA-Exploratory-Data-Analysis-/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/venkat-a%2FPython-EDA-Exploratory-Data-Analysis-/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/venkat-a%2FPython-EDA-Exploratory-Data-Analysis-/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/venkat-a","download_url":"https://codeload.github.com/venkat-a/Python-EDA-Exploratory-Data-Analysis-/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/venkat-a%2FPython-EDA-Exploratory-Data-Analysis-/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32731838,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-07T02:14:30.463Z","status":"ssl_error","status_checked_at":"2026-05-07T02:14:29.405Z","response_time":62,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["descriptive-statistics","matplotlib","numpy","pandas","seaborn","statistical-analysis","visualization"],"created_at":"2024-11-10T18:37:37.654Z","updated_at":"2026-05-07T09:36:17.603Z","avatar_url":"https://github.com/venkat-a.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Python-EDA-Exploratory-Data-Analysis-\nThis project focuses on conducting exploratory data analysis (EDA) using Python. Utilizing powerful libraries such as Pandas for data manipulation and Plotly for interactive visualization, the project aims to uncover insights from datasets through comprehensive analysis and visualization techniques.\n# Installation\n\nTo run this project, you will need Python installed on your system. Clone this repository to your local machine, and navigate to the project directory. Then, install the required dependencies:\n\nbash\nCopy code\npip install pandas plotly\n\n# Usage\n\nThe main Jupyter notebook, Eda_Analysis_Python.ipynb, contains the analysis. You can run it using Jupyter Lab or Jupyter Notebook by executing:\n\nbash\nCopy code\njupyter lab Eda_Analysis_Python.ipynb\n# or\njupyter notebook Eda_Analysis_Python.ipynb\nFollow the instructions and code comments within the notebook for detailed steps on conducting the EDA.\n\nFeatures\n\nData cleaning and preprocessing with Pandas.\nExploratory data analysis to uncover patterns, anomalies, or trends.\nInteractive visualizations with Plotly to present findings clearly.\n\n# Contributing\n\nContributions to this project are welcome. Please fork the repository and submit a pull request with your enhancements.\n\n# License\n\nThis project is licensed under the MIT License - see the LICENSE.md file for details.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvenkat-a%2Fpython-eda-exploratory-data-analysis-","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvenkat-a%2Fpython-eda-exploratory-data-analysis-","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvenkat-a%2Fpython-eda-exploratory-data-analysis-/lists"}