{"id":25740169,"url":"https://github.com/datadotworld/foia-app","last_synced_at":"2025-08-08T13:09:09.541Z","repository":{"id":66407979,"uuid":"91101880","full_name":"datadotworld/foia-app","owner":"datadotworld","description":"R Shiny App created to predict the success rate of Freedom of Information Act requests.","archived":true,"fork":false,"pushed_at":"2017-12-11T15:44:31.000Z","size":7665,"stargazers_count":16,"open_issues_count":1,"forks_count":4,"subscribers_count":40,"default_branch":"master","last_synced_at":"2025-05-08T21:14:53.239Z","etag":null,"topics":["dwstruct-t90-deprecated","r","shiny"],"latest_commit_sha":null,"homepage":"","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/datadotworld.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":"2017-05-12T14:52:56.000Z","updated_at":"2025-04-03T15:56:35.000Z","dependencies_parsed_at":null,"dependency_job_id":"1db31a1c-4a05-420f-847f-4859379b887c","html_url":"https://github.com/datadotworld/foia-app","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/datadotworld/foia-app","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datadotworld%2Ffoia-app","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datadotworld%2Ffoia-app/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datadotworld%2Ffoia-app/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datadotworld%2Ffoia-app/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/datadotworld","download_url":"https://codeload.github.com/datadotworld/foia-app/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datadotworld%2Ffoia-app/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":269425296,"owners_count":24414641,"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","status":"online","status_checked_at":"2025-08-08T02:00:09.200Z","response_time":72,"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":["dwstruct-t90-deprecated","r","shiny"],"created_at":"2025-02-26T08:37:04.517Z","updated_at":"2025-08-08T13:09:09.491Z","avatar_url":"https://github.com/datadotworld.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# foia_shiny_app\n\nThis R Shiny App was created to predict the success rate of Freedom of Information Act requests based on a dataset of 9,000+ previous FOIA requests and their outcomes.\n\n[View the data on data.world](https://data.world/rdowns26/foia-analysis)\n\n## Methodology\nThis model uses K Nearest Neighbors with k=5. First, it reads in the previous reqests that have already had the important features extracted ([see feature extraction python notebook](https://data.world/rdowns26/foia-analysis/file/FOIA_Feature_Extraction.ipynb)) and builds a model. Then, it takes the user's text input and performs the same feature extraction in real time. It also translates the user's agency into a boolean variable based on whether that agency has a success rate \u003e 50%. Then the model outputs a predicted likelihood of success, as well as the features the script extracted from the text input.\n\n**Have ideas on how to make this model better? We'd love your help! Submit a pull request or [request to be a contributor on data.world.](https://data.world/rdowns26/foia-analysis/contributors)**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatadotworld%2Ffoia-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatadotworld%2Ffoia-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatadotworld%2Ffoia-app/lists"}