{"id":19834265,"url":"https://github.com/ireneflorez/exploration_r","last_synced_at":"2026-06-16T14:31:54.840Z","repository":{"id":69252346,"uuid":"181119954","full_name":"IreneFlorez/exploration_r","owner":"IreneFlorez","description":"Data exploration on the 'White Wine Quality' dataset using R","archived":false,"fork":false,"pushed_at":"2019-04-17T03:54:53.000Z","size":42943,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-28T21:47:23.370Z","etag":null,"topics":["data-analysis","data-visualization","r"],"latest_commit_sha":null,"homepage":"","language":null,"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/IreneFlorez.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":"2019-04-13T04:16:22.000Z","updated_at":"2019-04-17T03:56:12.000Z","dependencies_parsed_at":"2023-03-22T05:17:45.716Z","dependency_job_id":null,"html_url":"https://github.com/IreneFlorez/exploration_r","commit_stats":{"total_commits":8,"total_committers":1,"mean_commits":8.0,"dds":0.0,"last_synced_commit":"26c7098d157ee466fc918926188167ab83101ebd"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/IreneFlorez/exploration_r","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IreneFlorez%2Fexploration_r","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IreneFlorez%2Fexploration_r/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IreneFlorez%2Fexploration_r/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IreneFlorez%2Fexploration_r/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/IreneFlorez","download_url":"https://codeload.github.com/IreneFlorez/exploration_r/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IreneFlorez%2Fexploration_r/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34410780,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-16T02:00:06.860Z","response_time":126,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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","data-visualization","r"],"created_at":"2024-11-12T12:03:45.603Z","updated_at":"2026-06-16T14:31:54.824Z","avatar_url":"https://github.com/IreneFlorez.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# exploration_r\n\n# Introduction \n\nThis project is a quick exploratory analysis project using R. \nThe aim of the project is to use R to explore the relationships between \ndata features.\n\nWe will be using a wine data set available at \nhttp://www3.dsi.uminho.pt/pcortez/wine/.\n\n'White Wine Quality' is a tidy dataset which contains 4,898 white wines\nwith 11 variables quantifying the chemical properties of each wine. \nAt least 3 wine experts rated the quality of each wine, providing \na rating between 0 (very bad) and 10 (very excellent). \n\nWe will use univariate, bivariate, and multivariate analyses to explore\nthe relationships between the data features and to tease out the quality \nrating.  You can read the final summary and reflection at the end of the rmd doc. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fireneflorez%2Fexploration_r","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fireneflorez%2Fexploration_r","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fireneflorez%2Fexploration_r/lists"}