{"id":28325009,"url":"https://github.com/ishmal793/bi-dummy-","last_synced_at":"2026-05-01T16:33:58.019Z","repository":{"id":269722113,"uuid":"908258644","full_name":"Ishmal793/Bi-dummy-","owner":"Ishmal793","description":"An interactive and beginner-friendly data dashboard built using Streamlit. Upload your own CSV or Excel file, apply filters, view key statistics, and generate beautiful visualizations with no coding required.","archived":false,"fork":false,"pushed_at":"2025-04-09T17:15:00.000Z","size":9,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-23T15:49:55.423Z","etag":null,"topics":["data-analytics","data-visualization","eda","pandas","plotly","python-dashboard","streamlit"],"latest_commit_sha":null,"homepage":"https://ogr3xrsreymmuqspkdtapp8.streamlit.app/","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/Ishmal793.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":"2024-12-25T15:49:16.000Z","updated_at":"2025-04-09T17:17:03.000Z","dependencies_parsed_at":null,"dependency_job_id":"70bef211-443b-46fd-9a84-fcc76da1dfc0","html_url":"https://github.com/Ishmal793/Bi-dummy-","commit_stats":null,"previous_names":["ishmal793/bi-dummy-"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Ishmal793/Bi-dummy-","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ishmal793%2FBi-dummy-","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ishmal793%2FBi-dummy-/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ishmal793%2FBi-dummy-/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ishmal793%2FBi-dummy-/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Ishmal793","download_url":"https://codeload.github.com/Ishmal793/Bi-dummy-/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Ishmal793%2FBi-dummy-/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32505106,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-30T13:12:12.517Z","status":"online","status_checked_at":"2026-05-01T02:00:05.856Z","response_time":64,"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-analytics","data-visualization","eda","pandas","plotly","python-dashboard","streamlit"],"created_at":"2025-05-25T19:14:10.752Z","updated_at":"2026-05-01T16:33:57.995Z","avatar_url":"https://github.com/Ishmal793.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 Interactive Data Dashboard using Streamlit\n\nThis is an interactive web-based data dashboard built using **Streamlit**, designed to simplify exploratory data analysis (EDA) for data analysts and beginners. Users can upload CSV or Excel files, apply filters, view data summaries, and generate a variety of visualizations—all without writing a single line of code.\n\n---\n\n## 🚀 Features\n\n- 📁 Upload CSV or Excel files\n- 📑 View data table with statistics\n- 🧮 Automatically detects numerical and categorical columns\n- 🔍 Filter data using checkboxes, sliders, and multiselects\n- 📊 Visualizations include:\n  - Bar Chart\n  - Line Chart\n  - Pie Chart\n  - Scatter Plot\n  - Gauge Chart\n  - Area Chart\n- 🧠 Summary metrics (Max, Min, Average) for numerical columns\n- 🖱️ Easy navigation using sidebar\n\n---\n\n## 🌐 Live Dashboard\n\n👉 Try the app live: [Interactive Dashboard](https://ogr3xrsreymmuqspkdtapp8.streamlit.app/)\n\n---\n\n## 📂 How to Run Locally\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/your-username/your-repo-name.git\n   cd your-repo-name\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fishmal793%2Fbi-dummy-","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fishmal793%2Fbi-dummy-","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fishmal793%2Fbi-dummy-/lists"}