{"id":39822046,"url":"https://github.com/pizofreude/hackvis","last_synced_at":"2026-01-18T12:58:36.542Z","repository":{"id":309066429,"uuid":"1035039520","full_name":"pizofreude/hackvis","owner":"pizofreude","description":"HackVis: An R-based toolkit for exploratory data visualization and analysis, designed to help analysts quickly transform, hack, and visualize complex datasets.","archived":false,"fork":false,"pushed_at":"2025-08-09T15:58:46.000Z","size":95,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-09T17:32:56.329Z","etag":null,"topics":["hackathon-project","mlh-hackathon","r","shinyapps"],"latest_commit_sha":null,"homepage":"https://datafreude.shinyapps.io/HackVis/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/pizofreude.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":"2025-08-09T14:25:46.000Z","updated_at":"2025-08-09T15:58:46.000Z","dependencies_parsed_at":"2025-08-30T12:30:40.875Z","dependency_job_id":null,"html_url":"https://github.com/pizofreude/hackvis","commit_stats":null,"previous_names":["pizofreude/hackvis"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/pizofreude/hackvis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pizofreude%2Fhackvis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pizofreude%2Fhackvis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pizofreude%2Fhackvis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pizofreude%2Fhackvis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pizofreude","download_url":"https://codeload.github.com/pizofreude/hackvis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pizofreude%2Fhackvis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28536677,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-18T10:13:46.436Z","status":"ssl_error","status_checked_at":"2026-01-18T10:13:11.045Z","response_time":98,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 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":["hackathon-project","mlh-hackathon","r","shinyapps"],"created_at":"2026-01-18T12:58:35.904Z","updated_at":"2026-01-18T12:58:36.531Z","avatar_url":"https://github.com/pizofreude.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# HackVis\n\n![GitHub language count](https://img.shields.io/github/languages/count/pizofreude/hackvis)\n![GitHub top language](https://img.shields.io/github/languages/top/pizofreude/hackvis)\n[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)\n\n## Overview\n\nHackVis is an R-based Shiny application designed for visualizing and analyzing hackathon datasets. It provides an interactive interface for exploring hackathon data, enabling event organizers, participants, and researchers to derive meaningful insights.\n\n## Repository Structure\n\n```\nhackvis/\n├── data/           # Hackathon datasets\n├── renv/           # R environment management for dependencies\n├── scripts/        # Data utility scripts for the Shiny application\n├── .Rprofile       # R profile configuration\n├── .gitignore      # Git ignore file (excludes Shiny apps credentials)\n├── LICENSE         # Apache 2.0 license\n├── app.R           # Main Shiny application\n├── hackvis.Rproj   # R project file\n└── renv.lock       # R environment lock file with dependencies\n```\n\n## Features\n\n- **Interactive Data Visualization**: Explore hackathon datasets through dynamic, interactive visualizations\n- **Data Analysis Tools**: Analyze participant demographics, project categories, and other hackathon metrics\n- **User-Friendly Interface**: Intuitive Shiny application design for users of all technical backgrounds\n\n## Getting Started\n\n### Prerequisites\n\n- R \u003e= 4.0.0\n- RStudio (recommended)\n- Required packages (automatically managed by renv):\n  - shiny\n  - tidyverse\n  - [other dependencies in renv.lock]\n\n### Installation\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/pizofreude/hackvis.git\ncd hackvis\n```\n\n2. Open the project in RStudio:\n```bash\nrstudio hackvis.Rproj\n```\n\n3. Install dependencies using renv:\n```r\nif (!requireNamespace(\"renv\", quietly = TRUE)) install.packages(\"renv\")\nrenv::restore()\n```\n\n### Running the Application\n\nTo run the Shiny application locally:\n\n```r\nshiny::runApp()\n```\n\nThe application should open in your default web browser.\n\n## Usage\n\n1. Load hackathon data using the provided interface\n2. Explore visualizations through the interactive dashboard\n3. Filter and analyze data based on various parameters\n4. Export or share insights as needed\n\n## Data Utilities\n\nThe `scripts/` directory contains utility functions for:\n- Data preprocessing and cleaning\n- Feature extraction from hackathon datasets\n- Helper functions for visualization components\n\n## Contributing\n\nContributions are welcome! Please feel free to submit a Pull Request.\n\n1. Fork the repository\n2. Create your feature branch (`git checkout -b feature/amazing-feature`)\n3. Commit your changes (`git commit -m 'Add some amazing feature'`)\n4. Push to the branch (`git push origin feature/amazing-feature`)\n5. Open a Pull Request\n\n## License\n\nThis project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgements\n\n- Major League Hacking for organizing the [Global Hack Week](https://ghw.mlh.io/)\n- The R and Shiny communities for their excellent tools and documentation\n- Contributors to the tidyverse and other dependencies\n- Hackathon organizers and participants who provided feedback\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpizofreude%2Fhackvis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpizofreude%2Fhackvis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpizofreude%2Fhackvis/lists"}