{"id":27379511,"url":"https://github.com/abhijeet107/task-4","last_synced_at":"2026-01-22T20:32:55.418Z","repository":{"id":287349785,"uuid":"964433813","full_name":"Abhijeet107/Task-4","owner":"Abhijeet107","description":"Design an interactive dashboard for business stakeholders.","archived":false,"fork":false,"pushed_at":"2025-04-11T08:53:42.000Z","size":520,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-13T13:52:22.821Z","etag":null,"topics":["data-analysis","excel-csv","tableau-dashboards","tableau-public"],"latest_commit_sha":null,"homepage":"https://public.tableau.com/app/profile/abhijeet.kuanr/viz/InteractiveSalesDashboard_17443552413880/Dashboard1","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/Abhijeet107.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":"2025-04-11T07:55:07.000Z","updated_at":"2025-04-11T08:53:46.000Z","dependencies_parsed_at":"2025-04-13T13:50:28.883Z","dependency_job_id":null,"html_url":"https://github.com/Abhijeet107/Task-4","commit_stats":null,"previous_names":["abhijeet107/task-4"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Abhijeet107/Task-4","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhijeet107%2FTask-4","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhijeet107%2FTask-4/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhijeet107%2FTask-4/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhijeet107%2FTask-4/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Abhijeet107","download_url":"https://codeload.github.com/Abhijeet107/Task-4/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhijeet107%2FTask-4/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28670381,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-22T19:36:09.361Z","status":"ssl_error","status_checked_at":"2026-01-22T19:36:05.567Z","response_time":144,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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-analysis","excel-csv","tableau-dashboards","tableau-public"],"created_at":"2025-04-13T13:50:28.072Z","updated_at":"2026-01-22T20:32:55.412Z","avatar_url":"https://github.com/Abhijeet107.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Task-4\nDesign an interactive dashboard for business stakeholders.\n\n# 📊 Interactive Sales Dashboard - Tableau\n\nWelcome to the **Interactive Sales Dashboard** project!  \nThis dashboard was created using **Tableau** to provide business stakeholders with a comprehensive view of sales performance across various dimensions including time, region, product category, and customer behavior.\n\n---\n\n## 📁 Project Overview\n\nThis dashboard enables users to:\n- Monitor **Total Sales**, **Quantity Sold**, and **Average Discount**\n- Identify **Top Performing Regions** and **Products**\n- Analyze **Sales Trends Over Time**\n- Visualize **Customer \u0026 Payment Insights**\n- Track **Sales by Region and Sales Representatives**\n- Apply **dynamic filters** (Date, Region, Product Category)\n\n---\n\n## 🛠️ Tools \u0026 Technologies\n\n- **Tableau Desktop**\n- **Microsoft Excel / CSV** (for data source)\n- **Data Visualization \u0026 Interactive Filters**\n\n---\n\n## 📸 Dashboard Highlights\n\n![Screenshot 2025-04-11 124255](https://github.com/user-attachments/assets/afd272aa-c70d-444a-9e57-5204502517c2)\n\n\n### 🎯 KPIs\n- **Total Sales:** ₹5,019,265\n- **Quantity Sold:** 25,355 Units\n- **Average Discount:** 15.24%\n- **Top Performing Region:** North\n\n### 📈 Visual Components\n- **Line Chart** – Sales Trend Over Time\n- **Pie Chart** – Payment Method Breakdown\n- **Bar Charts** – Product Performance by Region\n- **Rep-wise Sales Comparison**\n- **Interactive Filters** for date, region, and product category\n\n---\n\n## 🧠 Key Insights\n\n- **North** is the highest-performing region.\n- **Clothing** and **Food** lead in sales among product categories.\n- Payment methods are **diversely distributed** between Credit Card, Bank Transfer, and Cash.\n- Sales reps' performance shows regional variation, allowing for targeted team evaluation.\n\n---\n\n## 📌 How to Use\n\n1. Open the `.twbx` Tableau dashboard file in **Tableau Desktop**.\n2. Use the slicers to filter by:\n   - Sale Date Range\n   - Region\n   - Product Category\n3. Hover or click on visuals for interactivity and tooltips.\n4. Drill down for granular insights by rep, region, or category.\n\n---\n\n## 📥 Data Source\n\n- The dashboard uses a **sample sales dataset** containing:\n  - Order Date\n  - Region\n  - Product Category\n  - Sales Amount\n  - Quantity\n  - Customer Type\n  - Payment Method\n  - Sales Rep\n   -  Link of data set used- https://www.kaggle.com/datasets/vinothkannaece/sales-dataset\n---\n\n## 🚀 Future Enhancements\n\n- Add **Profit Margin** \u0026 **Customer Lifetime Value (CLV)** analysis\n- Deploy on **Tableau Public / Tableau Server**\n- Include **Top N Region Slicer** and **forecasting models**\n- Add **Geospatial Maps** for visual regional insights\n\n---\n\n## 👨‍💻 Author\n\n**Abhijeet Kuanr**  \n📧 abhijeet.kuanr@gmail.com  \n🔗 [# 📊 Interactive Sales Dashboard - Tableau - https://public.tableau.com/app/profile/abhijeet.kuanr/viz/InteractiveSalesDashboard_17443552413880/Dashboard1]\n\nWelcome to the **Interactive Sales Dashboard** project!  \nThis dashboard was created using **Tableau** to provide business stakeholders with a comprehensive view of sales performance across various dimensions including time, region, product category, and customer behavior.\n\n---\n\n## 📁 Project Overview\n\nThis dashboard enables users to:\n- Monitor **Total Sales**, **Quantity Sold**, and **Average Discount**\n- Identify **Top Performing Regions** and **Products**\n- Analyze **Sales Trends Over Time**\n- Visualize **Customer \u0026 Payment Insights**\n- Track **Sales by Region and Sales Representatives**\n- Apply **dynamic filters** (Date, Region, Product Category)\n\n---\n\n## 🛠️ Tools \u0026 Technologies\n\n- **Tableau Desktop**\n- **Microsoft Excel / CSV** (for data source)\n- **Data Visualization \u0026 Interactive Filters**\n\n---\n\n## 📸 Dashboard Highlights\n\n### 🎯 KPIs\n- **Total Sales:** ₹5,019,265\n- **Quantity Sold:** 25,355 Units\n- **Average Discount:** 15.24%\n- **Top Performing Region:** North\n\n### 📈 Visual Components\n- **Line Chart** – Sales Trend Over Time\n- **Pie Chart** – Payment Method Breakdown\n- **Bar Charts** – Product Performance by Region\n- **Rep-wise Sales Comparison**\n- **Interactive Filters** for date, region, and product category\n\n---\n\n## 🧠 Key Insights\n\n- **North** is the highest-performing region.\n- **Clothing** and **Food** lead in sales among product categories.\n- Payment methods are **diversely distributed** between Credit Card, Bank Transfer, and Cash.\n- Sales reps' performance shows regional variation, allowing for targeted team evaluation.\n\n---\n\n## 📌 How to Use\n\n1. Open the `.twbx` Tableau dashboard file in **Tableau Public**.\n2. Use the slicers to filter by:\n   - Sale Date Range\n   - Region\n   - Product Category\n3. Hover or click on visuals for interactivity and tooltips.\n4. Drill down for granular insights by rep, region, or category.\n\n---\n\n## 📥 Data Source\n\n- The dashboard uses a **sample sales dataset** containing:\n  - Order Date\n  - Region\n  - Product Category\n  - Sales Amount\n  - Quantity\n  - Customer Type\n  - Payment Method\n  - Sales Rep\n\n---\n\n## 🚀 Future Enhancements\n\n- Add **Profit Margin** \u0026 **Customer Lifetime Value (CLV)** analysis\n- Deploy on **Tableau Public / Tableau Server**\n- Include **Top N Region Slicer** and **forecasting models**\n- Add **Geospatial Maps** for visual regional insights\n\n---\n\n## 👨‍💻 Author\n\n**Abhijeet Kuanr**  \n📧 abhijeet@example.com  \n🔗 [www.linkedin.com/in/abhijeet-kuanr-6a2672160](#) \n\n---\n\n\n## 📄 License\n\nThis open-source project is available under the [MIT License](LICENSE).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhijeet107%2Ftask-4","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabhijeet107%2Ftask-4","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhijeet107%2Ftask-4/lists"}