{"id":28405041,"url":"https://github.com/l1ght14/e-commerce-sales-analysis","last_synced_at":"2026-02-12T07:05:58.307Z","repository":{"id":295756304,"uuid":"963246626","full_name":"l1ght14/E-commerce-Sales-Analysis","owner":"l1ght14","description":"Interactive Power BI dashboard analyzing e-commerce sales, profit trends, top products, and customer segments using the Sample Superstore dataset.","archived":false,"fork":false,"pushed_at":"2025-05-27T07:22:22.000Z","size":2069,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-29T04:36:53.305Z","etag":null,"topics":["dashboard","data-analysis","powerbi"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/l1ght14.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,"zenodo":null}},"created_at":"2025-04-09T11:39:23.000Z","updated_at":"2025-05-27T07:22:26.000Z","dependencies_parsed_at":"2025-05-27T08:50:10.557Z","dependency_job_id":null,"html_url":"https://github.com/l1ght14/E-commerce-Sales-Analysis","commit_stats":null,"previous_names":["l1ght14/e-commerce-sales-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/l1ght14/E-commerce-Sales-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/l1ght14%2FE-commerce-Sales-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/l1ght14%2FE-commerce-Sales-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/l1ght14%2FE-commerce-Sales-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/l1ght14%2FE-commerce-Sales-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/l1ght14","download_url":"https://codeload.github.com/l1ght14/E-commerce-Sales-Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/l1ght14%2FE-commerce-Sales-Analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274138886,"owners_count":25228895,"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":"2025-09-08T02:00:09.813Z","response_time":121,"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":["dashboard","data-analysis","powerbi"],"created_at":"2025-06-01T21:10:29.241Z","updated_at":"2026-02-12T07:05:53.251Z","avatar_url":"https://github.com/l1ght14.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# E-commerce Sales Analysis Dashboard\n\n## Overview\n\nAn interactive Power BI dashboard built using the Sample Superstore dataset. It analyzes sales trends, customer segments, and regional performance to derive business insights.\n\n## Features\n\n- KPIs for Total Sales and Profit\n- Top 10 Selling Products\n- Monthly Sales Trend\n- Regional Sales Comparison\n- Discount vs Profit Correlation\n- Slicers for Segment, Category, and Date filtering\n\n## Tools Used\n\n- Power BI\n- Excel\n- Sample Superstore Dataset\n\n## Insights\n\n- Technology and Office Supplies drive the highest sales\n- Discounts above 30% often lead to negative profits\n- Western and Eastern regions generate the most revenue\n\n## How to Use\n\n1. Open `superstore_dashboard.pbix` in Power BI Desktop\n2. Interact with slicers to explore the dashboard\n3. Use this project to learn dashboarding and storytelling with data\n\n## Screenshot\n\n![Dashboard Preview](https://github.com/l1ght14/E-commerce-Sales-Analysis/blob/main/Screenshot%202025-04-09%20165707.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fl1ght14%2Fe-commerce-sales-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fl1ght14%2Fe-commerce-sales-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fl1ght14%2Fe-commerce-sales-analysis/lists"}