{"id":18323114,"url":"https://github.com/camara94/afc","last_synced_at":"2025-04-09T14:45:59.353Z","repository":{"id":100386238,"uuid":"367960058","full_name":"camara94/afc","owner":"camara94","description":"Ce page regroupe du matériel pédagogique pour des enseignements des techniques factorielles, essentiellement l’analyse en composantes principales (ACP), l’analyse factorielle des correspondances (AFC), l’analyse des correspondances multiples (ACM), l’analyse factorielle des données mixtes (AFDM) et le positionnement multidimensionnel (multidimensional scaling – MDS).","archived":false,"fork":false,"pushed_at":"2021-05-16T19:54:26.000Z","size":18908,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-15T08:43:15.126Z","etag":null,"topics":["acp","data-analysis-python","data-science","ia"],"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/camara94.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":"2021-05-16T18:44:02.000Z","updated_at":"2023-05-10T10:02:24.000Z","dependencies_parsed_at":"2023-05-14T07:30:50.718Z","dependency_job_id":null,"html_url":"https://github.com/camara94/afc","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/camara94%2Fafc","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/camara94%2Fafc/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/camara94%2Fafc/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/camara94%2Fafc/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/camara94","download_url":"https://codeload.github.com/camara94/afc/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248055270,"owners_count":21040151,"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":["acp","data-analysis-python","data-science","ia"],"created_at":"2024-11-05T18:27:13.968Z","updated_at":"2025-04-09T14:45:59.334Z","avatar_url":"https://github.com/camara94.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Analyse Multidimensionnelle en Python\nDans cette partie, j'aborde les notions d'analyse factorielle (ACP ET AFC) en Python,\nun theme qui m'a été confié par mon prof de l'Analyse Multidimensionnelle.\n\nDonc ici, je vais faire quelques analyses multidimensionnelles plus précisement j'étudierais\nla **resemblance** et la **difference** des données d'une base donnée pour rentrer dans l'âme d'un Data Analyste pour observer les comportements et decouvrir des patternes.\n![image](acp.png)\"# afc\" \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcamara94%2Fafc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcamara94%2Fafc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcamara94%2Fafc/lists"}