{"id":20858300,"url":"https://github.com/azaz9026/eda","last_synced_at":"2026-04-15T19:31:35.041Z","repository":{"id":234292238,"uuid":"788591176","full_name":"azaz9026/EDA","owner":"azaz9026","description":" Exploratory Data Analysis (EDA) refers to the method of studying and exploring record sets to apprehend their predominant traits, discover patterns, locate outliers, and identify relationships between variables. EDA is normally carried out as a preliminary step before undertaking extra formal statistical analyses or modeling.","archived":false,"fork":false,"pushed_at":"2024-05-02T18:26:15.000Z","size":3501,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-03T04:43:16.648Z","etag":null,"topics":["data-cleaning","data-visualization","encoding","machine-learning","matplotlib","numpy","pandas","plotly","python3","seaborn","sklearn-library"],"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/azaz9026.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":"2024-04-18T18:00:22.000Z","updated_at":"2024-05-02T18:26:19.000Z","dependencies_parsed_at":"2024-05-02T19:50:25.122Z","dependency_job_id":null,"html_url":"https://github.com/azaz9026/EDA","commit_stats":null,"previous_names":["azaz9026/eda"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/azaz9026/EDA","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/azaz9026%2FEDA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/azaz9026%2FEDA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/azaz9026%2FEDA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/azaz9026%2FEDA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/azaz9026","download_url":"https://codeload.github.com/azaz9026/EDA/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/azaz9026%2FEDA/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31856889,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-15T15:24:51.572Z","status":"ssl_error","status_checked_at":"2026-04-15T15:24:39.138Z","response_time":63,"last_error":"SSL_read: 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-cleaning","data-visualization","encoding","machine-learning","matplotlib","numpy","pandas","plotly","python3","seaborn","sklearn-library"],"created_at":"2024-11-18T04:45:29.043Z","updated_at":"2026-04-15T19:31:35.022Z","avatar_url":"https://github.com/azaz9026.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":null,"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fazaz9026%2Feda","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fazaz9026%2Feda","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fazaz9026%2Feda/lists"}