{"id":26821501,"url":"https://github.com/data-edd/e-commercestore_analysis","last_synced_at":"2026-02-02T23:09:47.617Z","repository":{"id":280702279,"uuid":"942881188","full_name":"data-edd/E-CommerceStore_Analysis","owner":"data-edd","description":"This project analyzes e-commerce data to provide insights into sales performance, profitability, and customer behavior using Power BI.","archived":false,"fork":false,"pushed_at":"2025-03-12T12:22:02.000Z","size":18172,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-30T07:31:47.046Z","etag":null,"topics":["data-analysis","powerbi","powerbidashboard"],"latest_commit_sha":null,"homepage":"","language":null,"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/data-edd.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":"2025-03-04T20:36:26.000Z","updated_at":"2025-03-12T12:22:05.000Z","dependencies_parsed_at":null,"dependency_job_id":"19e7dd85-c555-484f-a8d4-99f1e26e79aa","html_url":"https://github.com/data-edd/E-CommerceStore_Analysis","commit_stats":null,"previous_names":["data-edd/e-commerce","data-edd/e-commercestore_analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/data-edd/E-CommerceStore_Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/data-edd%2FE-CommerceStore_Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/data-edd%2FE-CommerceStore_Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/data-edd%2FE-CommerceStore_Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/data-edd%2FE-CommerceStore_Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/data-edd","download_url":"https://codeload.github.com/data-edd/E-CommerceStore_Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/data-edd%2FE-CommerceStore_Analysis/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261694817,"owners_count":23195655,"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":["data-analysis","powerbi","powerbidashboard"],"created_at":"2025-03-30T07:31:03.544Z","updated_at":"2026-02-02T23:09:42.587Z","avatar_url":"https://github.com/data-edd.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# E-Commerce Power BI Analysis\n\n## Description\nThis project analyzes e-commerce data to provide insights into sales performance, profitability, and customer behavior using Power BI. The dashboard includes key performance indicators (KPIs) that help in decision-making and business strategy optimization.\n\n## Dataset Information\n- **Source:** E-commerce transaction database\n- **Format:** Excel / CSV\n- **Key Attributes:**\n  - **Order ID:** Unique identifier for each transaction\n  - **Product Name:** Name of the purchased product\n  - **Category Name:** Product category\n  - **Sales:** Total sales amount\n  - **Profit:** Profit earned per transaction\n  - **Quantity:** Number of items sold\n  - **State \u0026 Customer Region:** Geographic details of customers\n  - **Shipping Type:** Delivery method used\n  - **Order Date:** Date of transaction\n\n## Installation \u0026 Requirements\nTo set up and explore the Power BI analysis, ensure you have the following tools installed:\n\n### Required Tools:\n- Power BI Desktop\n- Data source connections (Excel, CSV)\n\n## Usage\nTo analyze the data and explore insights:\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/data-edd/ecommerce-powerbi-dashboard.git\n   ```\n2. Open the `E-COMMERCE-DASHBOARD.pbix` file in Power BI Desktop.\n3. Refresh the dataset to load the latest data.\n4. Explore the interactive dashboards and reports.\n\n## Key Metrics \u0026 Insights\nThis Power BI dashboard focuses on the following key performance indicators:\n\n- **YTD Sales:** Year-to-date total revenue from sales.\n- **YTD Profits:** Year-to-date total profit.\n- **YTD Quantity:** Total number of products sold year-to-date.\n- **YTD Profit Margin:** Profit margin percentage calculated on YTD sales.\n- **YTD Sales \u0026 Total Quantity by State and Customer Region:** Geographical analysis of sales distribution.\n- **Sales by Category Name:** Breakdown of revenue by product categories.\n- **YTD Sales by Customer Region:** Regional sales trends.\n- **YTD Sales by Shipping Type:** Impact of shipping methods on sales performance.\n- **Top-5 Products by YTD Sales:** Best-performing products based on revenue.\n- **Bottom-5 Products by YTD Sales:** Least-performing products by revenue.\n- **Year-on-Year Sales Growth by Product Category:** Trends in sales growth across different product categories.\n\n## Methodology\nThe analysis follows a structured approach:\n\n1. **Data Import \u0026 Transformation:** Data cleaning and preparation using Power Query.\n2. **Exploratory Data Analysis (EDA):** Identifying trends, patterns, and relationships.\n3. **Data Modeling:** Creating relationships and DAX measures for custom calculations.\n4. **Visualization:** Presenting insights through Power BI dashboards.\n\n## Contributions\nContributions are welcome! If you’d like to contribute:\n\n1. Fork the repository.\n2. Create a new branch (`feature-branch-name`).\n3. Commit your changes and push to the branch.\n4. Submit a pull request.\n\n## Contact\nFor any inquiries or support, feel free to open an issue or contact [mr.armstrongedward@gmail.com].\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdata-edd%2Fe-commercestore_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdata-edd%2Fe-commercestore_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdata-edd%2Fe-commercestore_analysis/lists"}