{"id":19068969,"url":"https://github.com/kmohamedalie/autoeda-with-python","last_synced_at":"2026-05-16T20:30:16.451Z","repository":{"id":207814793,"uuid":"720168405","full_name":"Kmohamedalie/AutoEDA-with-python","owner":"Kmohamedalie","description":"Creating quick visualizations and summary statistics using python","archived":false,"fork":false,"pushed_at":"2023-11-18T13:23:33.000Z","size":15407,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-02T15:32:01.803Z","etag":null,"topics":["autoviz","dataprep","dtale","melbourne-housing","palmer-penguin","sweetviz","ydata-profiling"],"latest_commit_sha":null,"homepage":"https://kmohamedalie.github.io/AutoEDA-with-python/","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/Kmohamedalie.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":"2023-11-17T18:18:40.000Z","updated_at":"2023-11-18T13:24:35.000Z","dependencies_parsed_at":"2024-11-09T01:13:00.405Z","dependency_job_id":"41046b84-ef19-4980-bb5d-79edb99980e2","html_url":"https://github.com/Kmohamedalie/AutoEDA-with-python","commit_stats":null,"previous_names":["kmohamedalie/autoeda-with-python"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kmohamedalie%2FAutoEDA-with-python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kmohamedalie%2FAutoEDA-with-python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kmohamedalie%2FAutoEDA-with-python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kmohamedalie%2FAutoEDA-with-python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Kmohamedalie","download_url":"https://codeload.github.com/Kmohamedalie/AutoEDA-with-python/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240122476,"owners_count":19751140,"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":["autoviz","dataprep","dtale","melbourne-housing","palmer-penguin","sweetviz","ydata-profiling"],"created_at":"2024-11-09T01:12:52.544Z","updated_at":"2026-05-16T20:30:16.417Z","avatar_url":"https://github.com/Kmohamedalie.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Automated Exploratory Data Analysis with Python\nIn this repository you'll learn how to create quick visualizations and summary statistics using python automated visualization libraries:\n\n**Notebooks:** available here [link](https://github.com/Kmohamedalie/AutoEDA-with-python/tree/master/Notebooks)\n\n**AutoViz Libraries:**\n• [D-Tale](https://pypi.org/project/dtale/)\n• [AutoViz](https://pypi.org/project/autoviz/)\n• [Sweetviz](https://pypi.org/project/sweetviz/)\n• [pandas profiling](https://pypi.org/project/pandas-profiling/)\n• [Dataprep](https://dataprep.ai/learning)\n\n**Final Reports:**\n• [Sweetviz - Housing data](https://kmohamedalie.github.io/AutoEDA-with-python/Housing.html)\n• [Titanic - ydata_profiling](https://kmohamedalie.github.io/AutoEDA-with-python/Titanic.html)\n• [Penguins](https://kmohamedalie.github.io/AutoEDA-with-python/Penguins.html)\n• [Dataprep - Titanic EDA](https://kmohamedalie.github.io/AutoEDA-with-python/DataPrep_report.html)\n\n\n\u003c!--\n![image](https://github.com/Kmohamedalie/AutoEDA-with-python/assets/63104472/5b7032b8-5288-4620-9bbe-a5491f14d758)\n\n--\u003e\n\n![image](https://github.com/Kmohamedalie/AutoEDA-with-python/assets/63104472/57d7f3b5-10df-4382-be96-ce70b2ca0c13)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkmohamedalie%2Fautoeda-with-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkmohamedalie%2Fautoeda-with-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkmohamedalie%2Fautoeda-with-python/lists"}