{"id":25410080,"url":"https://github.com/dayanacavalcante/customersegmentation","last_synced_at":"2026-07-01T02:31:03.986Z","repository":{"id":110201939,"uuid":"496336170","full_name":"dayanacavalcante/CustomerSegmentation","owner":"dayanacavalcante","description":"Customer Segmentation by RFM","archived":false,"fork":false,"pushed_at":"2022-05-25T18:01:19.000Z","size":2,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-14T05:41:59.021Z","etag":null,"topics":["customer-segmentation","rfm-analysis"],"latest_commit_sha":null,"homepage":"","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/dayanacavalcante.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,"zenodo":null}},"created_at":"2022-05-25T17:53:08.000Z","updated_at":"2024-04-30T17:17:28.000Z","dependencies_parsed_at":"2023-04-26T21:48:28.027Z","dependency_job_id":null,"html_url":"https://github.com/dayanacavalcante/CustomerSegmentation","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dayanacavalcante/CustomerSegmentation","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dayanacavalcante%2FCustomerSegmentation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dayanacavalcante%2FCustomerSegmentation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dayanacavalcante%2FCustomerSegmentation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dayanacavalcante%2FCustomerSegmentation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dayanacavalcante","download_url":"https://codeload.github.com/dayanacavalcante/CustomerSegmentation/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dayanacavalcante%2FCustomerSegmentation/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34990845,"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":"2026-07-01T02:00:05.325Z","response_time":130,"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":["customer-segmentation","rfm-analysis"],"created_at":"2025-02-16T09:30:08.684Z","updated_at":"2026-07-01T02:31:03.979Z","avatar_url":"https://github.com/dayanacavalcante.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Customer Segmentation using RFM matrix in Python\n\nThe RFM technique helps you turn customer data into effective actions. It is a customer segmentation technique that uses past buying behavior to divide customers into groups.\n\nWhat does RFM mean?\n\n- Recency (R): days since last purchase;\n- Frequency (F): total number of purchases;\n- Monetary Value (M): total spent by the customer;\n\n### Data\n\nThe data were taken from the [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/online+retail)\n\nThe transactions happened between 01/12/2010 to 09/12/2011 and belong to a UK online retailer.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdayanacavalcante%2Fcustomersegmentation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdayanacavalcante%2Fcustomersegmentation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdayanacavalcante%2Fcustomersegmentation/lists"}