{"id":20970165,"url":"https://github.com/shimaa83/eda-repo","last_synced_at":"2026-04-29T19:31:21.293Z","repository":{"id":53857450,"uuid":"518556260","full_name":"shimaa83/EDA-Repo","owner":"shimaa83","description":"Exploratory data analysis for Police and retail dataset in kaggle","archived":false,"fork":false,"pushed_at":"2022-12-15T20:06:50.000Z","size":229,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-28T18:46:34.267Z","etag":null,"topics":["data-analysis","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/shimaa83.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}},"created_at":"2022-07-27T17:40:16.000Z","updated_at":"2022-12-15T20:22:13.000Z","dependencies_parsed_at":"2023-01-29T04:16:07.500Z","dependency_job_id":null,"html_url":"https://github.com/shimaa83/EDA-Repo","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/shimaa83/EDA-Repo","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shimaa83%2FEDA-Repo","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shimaa83%2FEDA-Repo/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shimaa83%2FEDA-Repo/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shimaa83%2FEDA-Repo/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/shimaa83","download_url":"https://codeload.github.com/shimaa83/EDA-Repo/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shimaa83%2FEDA-Repo/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32440830,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-29T18:12:22.909Z","status":"ssl_error","status_checked_at":"2026-04-29T18:11:33.322Z","response_time":110,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 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":["data-analysis","python"],"created_at":"2024-11-19T03:57:02.423Z","updated_at":"2026-04-29T19:31:21.276Z","avatar_url":"https://github.com/shimaa83.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# EDA-Repo\n# Data analysis with python\n## _using kaggel data set_\n\n- https://www.kaggle.com/datasets/mrmorj/data-police-shootings\n- https://www.kaggle.com/datasets/manjeetsingh/retaildataset\n\n## Steps\n\n- load data from kaggel \n- use python code to create some data visulalization\n\n## Data Police shootings dataset\n\n- determine gender and race who is most shooting\n-  determine  the most city and state which peple have been shooted\n- find the most armed used in shooting\n- find the most year people shooted in \n- and so on\n\n## Retail Data Analytics\n- determine the best store in weekly sales\n-  determine  the bset str type in weekly sales\n- find  the relation between holiday and weekly sales,between holiday and fuel price and between weekly sales and temp\n- and so on\n\n\n## Tech\n\n\n- [Ana conda][dill] - awesome python-based text editor\n\n\n\n   [dill]: https://www.anaconda.com/\u003e\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshimaa83%2Feda-repo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshimaa83%2Feda-repo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshimaa83%2Feda-repo/lists"}