{"id":28402065,"url":"https://github.com/abhaysingh71/india-censes-data-analysis","last_synced_at":"2026-05-15T21:39:16.723Z","repository":{"id":252379717,"uuid":"840262027","full_name":"AbhaySingh71/India-censes-data-analysis","owner":"AbhaySingh71","description":"This repo is a india censes data analysis in many domains","archived":false,"fork":false,"pushed_at":"2024-09-03T15:18:23.000Z","size":54,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-15T20:56:53.777Z","etag":null,"topics":["data","data-science","data-visualization","dataanalysis","streamlit"],"latest_commit_sha":null,"homepage":"https://abhaysingh71-india-censes-data-analysis-app-q5mfiv.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/AbhaySingh71.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":"2024-08-09T10:09:49.000Z","updated_at":"2024-09-03T15:21:56.000Z","dependencies_parsed_at":"2024-08-09T12:03:40.672Z","dependency_job_id":"ed9b2569-d676-4e10-abae-8be532998826","html_url":"https://github.com/AbhaySingh71/India-censes-data-analysis","commit_stats":null,"previous_names":["abhaysingh71/india-censes-data-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/AbhaySingh71/India-censes-data-analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhaySingh71%2FIndia-censes-data-analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhaySingh71%2FIndia-censes-data-analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhaySingh71%2FIndia-censes-data-analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhaySingh71%2FIndia-censes-data-analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AbhaySingh71","download_url":"https://codeload.github.com/AbhaySingh71/India-censes-data-analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AbhaySingh71%2FIndia-censes-data-analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33080779,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-15T20:25:35.270Z","status":"ssl_error","status_checked_at":"2026-05-15T20:25:34.732Z","response_time":103,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: 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","data-science","data-visualization","dataanalysis","streamlit"],"created_at":"2025-06-01T14:36:22.728Z","updated_at":"2026-05-15T21:39:16.718Z","avatar_url":"https://github.com/AbhaySingh71.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📊 India Census Data Analysis App\n\nWelcome to the India Census Data Analysis App! 🚀 This interactive app is designed to help users explore and visualize key insights from India's census data in an intuitive and user-friendly manner. Built with **Streamlit** and leveraging the powerful **Plotly** library for geo-mapping, this app provides a valuable tool for data enthusiasts, researchers, and especially UPSC aspirants.\n\n## 🌟 Features\n\n- **Interactive Data Visualization**: Easily explore and analyze data with interactive charts and graphs.\n- **Geo-Mapping with Plotly**: Visualize key trends across India by mapping data using latitude and longitude.\n- **Exploratory Data Analysis (EDA)**: Includes insights such as sex ratio, literacy rate, and more.\n- **Data Cleaning**: Rigorous data preprocessing to ensure accurate and reliable insights (handling missing values, removing leading spaces, etc.).\n- **Comprehensive Analysis**: Covers various aspects such as population, education, electricity access, religions, and sex ratio.\n\n## 🔍 Exploratory Data Analysis (EDA)\n\nTo derive meaningful insights from the census data, the following EDA steps were performed:\n\n- **Calculating Key Metrics**: Calculated sex ratio, literacy rate, and other important metrics.\n- **Handling Missing Values**: Imputed missing values to maintain data consistency.\n- **Data Cleaning**: Removed leading spaces and standardized formats to ensure data quality.\n- **Visualizations**: Used Plotly for creating interactive plots to better understand geographic and demographic trends.\n\n## 🚀 How to Run the App\n\nTo run this app locally, follow these steps:\n\n1. **Clone the repository**:\n   ```bash\n   git clone https://github.com/abhaysingh71/india-census-data-analysis.git\n   cd india-census-data-analysis\n2. **Install the Required Packages:**\n\n    Ensure you have Python installed. Install the necessary packages using pip:\n\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n3. **Run the Streamlit App:**\n\n    ```bash\n    streamlit run app.py\n    ```\n\n4. **Explore the Dashboard:**\n\n    Open the provided URL in your browser to explore the interactive dashboard and gain valuable insights into startup funding trends.\n\n \n\n## 🌐 Deployed Version\n\nThe app is deployed on **Streamlit**! You can check out the live version and explore the analysis on your own: [Streamlit App](https://abhaysingh71-india-censes-data-analysis-app-q5mfiv.streamlit.app/).\n\n## 📚 Resources\n- **GitHub Repository**: Visit the [GitHub Repository]((https://github.com/AbhaySingh71/India-startup-analysis))for the complete codebase.\n\n## 🤝 Contributing\n\nWe welcome contributions! If you have any suggestions, bug reports, or feature requests, please open an issue or submit a pull request.\n\n## 🙏 Acknowledgments\n\nA big thank you to the data science community for their support and resources. Special thanks to the providers of the dataset and all contributors who helped make this project a reality.\n\n---\n\n**Happy Learning! 😊**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhaysingh71%2Findia-censes-data-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabhaysingh71%2Findia-censes-data-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhaysingh71%2Findia-censes-data-analysis/lists"}