{"id":18413666,"url":"https://github.com/dylanjm/shinyapp-partyid","last_synced_at":"2025-04-13T00:49:54.303Z","repository":{"id":70164339,"uuid":"63197692","full_name":"dylanjm/ShinyApp-PartyID","owner":"dylanjm","description":"Cleaned data taken from the GSS used to predict political party affiliation using logistic regression","archived":false,"fork":false,"pushed_at":"2018-01-03T02:35:53.000Z","size":982,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-13T00:49:48.253Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"R","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/dylanjm.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":"2016-07-12T22:54:11.000Z","updated_at":"2017-05-29T22:40:54.000Z","dependencies_parsed_at":"2023-03-11T08:11:11.640Z","dependency_job_id":null,"html_url":"https://github.com/dylanjm/ShinyApp-PartyID","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dylanjm%2FShinyApp-PartyID","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dylanjm%2FShinyApp-PartyID/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dylanjm%2FShinyApp-PartyID/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dylanjm%2FShinyApp-PartyID/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dylanjm","download_url":"https://codeload.github.com/dylanjm/ShinyApp-PartyID/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248650436,"owners_count":21139672,"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":[],"created_at":"2024-11-06T03:47:14.701Z","updated_at":"2025-04-13T00:49:54.256Z","avatar_url":"https://github.com/dylanjm.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Political Party Affiliation Dataset\n\nWeb application built using R and Shiny.\n\nI cleaned some data taken from the GSS used to predict political party affiliation using logistic regression\n\nMore Information about the GSS can be found [here](http://gss.norc.org/)\n\n[The web app is hosted at www.shinnyapps.io and can be found here](https://dylanjm.shinyapps.io/predicting_politics/)\n\nA slide show detailing the logistic regression and how I came the conclussion can be found on the web app. \n\n![Website](https://imgur.com/9JS5jHE.jpg)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdylanjm%2Fshinyapp-partyid","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdylanjm%2Fshinyapp-partyid","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdylanjm%2Fshinyapp-partyid/lists"}