{"id":23985468,"url":"https://github.com/wildanmujjahid29/books-sales-analytics-python","last_synced_at":"2026-06-12T18:33:00.780Z","repository":{"id":263802982,"uuid":"891438485","full_name":"wildanmujjahid29/Books-Sales-Analytics-Python","owner":"wildanmujjahid29","description":"Books Sales Analytics With Pyhton","archived":false,"fork":false,"pushed_at":"2024-11-20T10:45:23.000Z","size":266,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-25T01:53:35.455Z","etag":null,"topics":["data","data-analysis","data-science","data-visualization"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/wildanmujjahid29.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2024-11-20T10:36:30.000Z","updated_at":"2024-11-20T10:45:58.000Z","dependencies_parsed_at":"2024-11-20T21:32:18.484Z","dependency_job_id":null,"html_url":"https://github.com/wildanmujjahid29/Books-Sales-Analytics-Python","commit_stats":null,"previous_names":["wildanmujjahid29/books-sales-analytics-python"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/wildanmujjahid29/Books-Sales-Analytics-Python","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wildanmujjahid29%2FBooks-Sales-Analytics-Python","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wildanmujjahid29%2FBooks-Sales-Analytics-Python/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wildanmujjahid29%2FBooks-Sales-Analytics-Python/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wildanmujjahid29%2FBooks-Sales-Analytics-Python/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/wildanmujjahid29","download_url":"https://codeload.github.com/wildanmujjahid29/Books-Sales-Analytics-Python/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wildanmujjahid29%2FBooks-Sales-Analytics-Python/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34258367,"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":"2026-06-12T02:00:06.859Z","response_time":109,"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":["data","data-analysis","data-science","data-visualization"],"created_at":"2025-01-07T14:15:06.364Z","updated_at":"2026-06-12T18:33:00.763Z","avatar_url":"https://github.com/wildanmujjahid29.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## 📚 Books Sales Analytics\n\nThis repository provides an in-depth analysis of book sales data, focusing on trends, correlations, and genre performance. Using visualizations and data analysis techniques, the project aims to derive actionable insights for stakeholders in the book publishing industry. This project provides valuable insights for understanding the dynamics of the book sales market. By focusing on key business questions and analyzing sales trends, correlations, and genre performance, stakeholders can make informed decisions to enhance sales strategies and market positioning.\n\n\u003cdiv align=\"center\"\u003e\n\n---\n\n###  Lets connect:\n\n[![Facebook](https://img.shields.io/badge/Facebook-%231877F2.svg?logo=Facebook\u0026logoColor=white)](https://www.facebook.com/wildan.mujjahidrobbani) \n[![Instagram](https://img.shields.io/badge/Instagram-%23E4405F.svg?logo=Instagram\u0026logoColor=white)](https://www.instagram.com/_wildanmjjhd/) \n[![LinkedIn](https://img.shields.io/badge/LinkedIn-%230077B5.svg?logo=linkedin\u0026logoColor=white)](https://www.linkedin.com/in/wildanmujjahid) \n[![X](https://img.shields.io/badge/X-black.svg?logo=X\u0026logoColor=white)](https://x.com/Wildanmjjhd)\n\n\u003c/div\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwildanmujjahid29%2Fbooks-sales-analytics-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwildanmujjahid29%2Fbooks-sales-analytics-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwildanmujjahid29%2Fbooks-sales-analytics-python/lists"}