{"id":26294438,"url":"https://github.com/walidoux/data-analysis","last_synced_at":"2025-03-15T03:19:31.140Z","repository":{"id":280863409,"uuid":"942969486","full_name":"Walidoux/data-analysis","owner":"Walidoux","description":null,"archived":false,"fork":false,"pushed_at":"2025-03-05T17:42:18.000Z","size":3,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-05T18:41:24.975Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/Walidoux.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":"2025-03-05T01:07:57.000Z","updated_at":"2025-03-05T17:43:23.000Z","dependencies_parsed_at":"2025-03-05T18:41:26.862Z","dependency_job_id":"a0ebe516-f057-499a-86a8-0926c1e9dd04","html_url":"https://github.com/Walidoux/data-analysis","commit_stats":null,"previous_names":["walidoux/data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Walidoux%2Fdata-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Walidoux%2Fdata-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Walidoux%2Fdata-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Walidoux%2Fdata-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Walidoux","download_url":"https://codeload.github.com/Walidoux/data-analysis/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243677209,"owners_count":20329518,"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":"2025-03-15T03:19:30.596Z","updated_at":"2025-03-15T03:19:31.118Z","avatar_url":"https://github.com/Walidoux.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Hellow\n\nLe rapport final est présenté sur [ce lien](https://walid-projects.notion.site/Projet-ADD-1a529a68f59c805a9e5fcb06292dff3e)\n\nTemps passé sur le projet : +50h\n\nIDE utilisé : Visual Studio Code\nEOL Sequence : LF\n\n## Installation\n\n```bash\npip install snakemd\n```\n\n### Roadmap\n\n- [x] Codification de chaque variable + Documenter le processus\n- [ ] (Diapo 6 et 12) Afficher comme statistique les formats erronés/dupliqués/incohérentes/extrêmes\n- [ ] (Diapo 13) Générer un tabeleau \"Vue des variables\" comme partie de la documentation\n- [x] (Diapo 17) Identifier les données manquantes + Documenter en créant un tableau statistiques avec toutes les variables et un tableau avec tout ces détails pour chaque variable\n- [x] (Diapo 18) Par défaut, ignorer les valeurs manquantes. Si ces dernières constituent un taux entre 30% et 40%, il faudra supprimer la variable concernée si seulement le pourcentage des données manquantes est faible (15%) et réparti aléatoirement. Sinon si aucune de ces conditions ne sont satisfaites\n- [ ] (Diapo 22) Ajouter l'imputation multiple, médianne ou Mode\n- [ ] (Diapo 24) Ajouter un tableau \"Variables de résultat\" après remplaçage des données manquantes\n- [ ] (Diapo 26) Imputation avancée au niveau du traitement des données manquantes\n  - [ ] Régression linéaire\n  - [ ] Imputation multiple\n- [-] (Diapo 28) Transformation ou permutation des villes par division limitrophe du continent africain\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwalidoux%2Fdata-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwalidoux%2Fdata-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwalidoux%2Fdata-analysis/lists"}