{"id":20493205,"url":"https://github.com/exios66/matlab","last_synced_at":"2026-02-10T02:31:21.812Z","repository":{"id":261353769,"uuid":"884053020","full_name":"Exios66/MATLAB","owner":"Exios66","description":"MATLAB Development Sandbox","archived":false,"fork":false,"pushed_at":"2024-11-06T11:25:49.000Z","size":79,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-17T16:53:35.444Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://exios66.github.io/MATLAB/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Exios66.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}},"created_at":"2024-11-06T03:44:25.000Z","updated_at":"2024-12-18T20:52:29.000Z","dependencies_parsed_at":"2024-11-06T05:17:39.839Z","dependency_job_id":"90a453a4-87d0-4909-b96f-62ce1a34f7f3","html_url":"https://github.com/Exios66/MATLAB","commit_stats":null,"previous_names":["exios66/matlab"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Exios66/MATLAB","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Exios66%2FMATLAB","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Exios66%2FMATLAB/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Exios66%2FMATLAB/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Exios66%2FMATLAB/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Exios66","download_url":"https://codeload.github.com/Exios66/MATLAB/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Exios66%2FMATLAB/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29289463,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-09T21:57:15.303Z","status":"online","status_checked_at":"2026-02-10T02:00:07.935Z","response_time":65,"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":[],"created_at":"2024-11-15T17:33:55.639Z","updated_at":"2026-02-10T02:31:21.778Z","avatar_url":"https://github.com/Exios66.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Advanced R Data Visualization Suite\n\n## A Comprehensive Data Visualization and Analysis Platform\n\n![R Version](https://img.shields.io/badge/R-%3E%3D%204.0.0-blue.svg)\n![License](https://img.shields.io/badge/license-MIT-green.svg)\n![GitHub release (latest by date)](https://img.shields.io/github/v/release/Exios66/MATLAB)\n![GitHub last commit](https://img.shields.io/github/last-commit/Exios66/MATLAB)\n![GitHub issues](https://img.shields.io/github/issues/Exios66/MATLAB)\n![GitHub pull requests](https://img.shields.io/github/issues-pr/Exios66/MATLAB)\n![GitHub stars](https://img.shields.io/github/stars/Exios66/MATLAB)\n![GitHub forks](https://img.shields.io/github/forks/Exios66/MATLAB)\n\n[![Build Status](https://github.com/Exios66/MATLAB/workflows/R-CMD-check/badge.svg)](https://github.com/Exios66/MATLAB/actions)\n[![codecov](https://codecov.io/gh/Exios66/MATLAB/branch/main/graph/badge.svg)](https://codecov.io/gh/Exios66/MATLAB)\n[![CRAN status](https://www.r-pkg.org/badges/version/MATLAB)](https://CRAN.R-project.org/package=MATLAB)\n[![Downloads](https://cranlogs.r-pkg.org/badges/grand-total/MATLAB)](https://cran.r-project.org/package=MATLAB)\n\n[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)\n[![R-CMD-check](https://github.com/Exios66/MATLAB/workflows/R-CMD-check/badge.svg)](https://github.com/Exios66/MATLAB/actions)\n[![pkgdown](https://github.com/Exios66/MATLAB/workflows/pkgdown/badge.svg)](https://Exios66.github.io/MATLAB/)\n\n### Table of Contents\n\n1. [Overview](#overview)\n2. [Features](#features)\n3. [Installation](#installation)\n4. [Directory Structure](#directory-structure)\n5. [Usage Guide](#usage-guide)\n6. [Advanced Features](#advanced-features)\n7. [Customization](#customization)\n8. [Troubleshooting](#troubleshooting)\n9. [Contributing](#contributing)\n10. [License](#license)\n\n## Overview\n\nThe Advanced R Data Visualization Suite is a comprehensive platform for data analysis, visualization, and reporting. It combines modern UI elements with powerful R-based analytics capabilities to provide a seamless data exploration experience.\n\n## Features\n\n### Core Capabilities\n\n- **Data Import \u0026 Processing**\n  - Multiple format support (CSV, XLSX, RDS, Feather)\n  - Automated data cleaning\n  - Advanced preprocessing options\n  - Real-time data validation\n\n- **Visualization Types**\n  - Basic: Scatter, Line, Bar, Box plots\n  - Advanced: Treemaps, Networks, Sunbursts, Sankey\n  - Statistical: Correlation, Clustering, PCA\n  - Interactive: 3D plots, Animated visualizations\n\n- **Analysis Tools**\n  - Descriptive statistics\n  - Correlation analysis\n  - Clustering algorithms\n  - Time series analysis\n  - Feature engineering\n\n### User Interface\n\n- Modern dashboard design\n- Responsive layout\n- Interactive controls\n- Real-time preview\n- Custom themes\n\n## Installation\n\n### Prerequisites\n\n```r\nInstall required packages\ninstall.packages(c(\n```\n```r\n\"shiny\",\n\"shinydashboard\",\n\"shinydashboardPlus\",\n\"shinyjs\",\n\"shinyWidgets\",\n\"DT\",\n\"waiter\",\n\"fresh\",\n\"bs4Dash\",\n\"plotly\",\n\"tidyverse\",\n\"data.table\",\n\"viridis\",\n\"highcharter\",\n\"leaflet\",\n\"forecast\",\n\"corrplot\",\n\"gridExtra\",\n\"GGally\",\n\"ggridges\",\n\"ggrepel\",\n\"gganimate\",\n\"networkD3\",\n\"treemap\",\n\"visNetwork\",\n\"sunburstR\",\n\"waffle\",\n\"streamgraph\",\n\"circlize\",\n\"dendextend\",\n\"rmarkdown\"\n))\n```\n\n### Setup Instructions\n\n1. Clone the repository:\n\n```bash\ngit clone https://github.com/Exios66/data-visualization-suite.git\n```\n\n   1. Set up the directory structure:\n\n```bash\nproject_root/\n├── app/\n│ ├── global.R\n│ ├── ui.R\n│ ├── server.R\n│ └── www/\n│ └── custom.css\n├── R/\n│ ├── preprocessing.R\n│ ├── themes.R\n│ ├── advanced_visualizations.R\n│ ├── statistical_visualizations.R\n│ └── report_template.Rmd\n└── data/\n└── example_datasets/\n```\n\n1. Configure environment:\n\n```bash\nsource(\"setup.R\") # Sets up necessary directories and configurations\n```\n\n## Directory Structure\n\n- `app/`: Main application files\n- `R/`: Helper functions and modules\n- `templates/`: Report templates\n- `data/`: Example datasets and user data\n- `www/`: Static assets and CSS\n- `docs/`: Documentation\n\n## Usage Guide\n\n### Quick Start\n\n1. Launch the application:\n\n```bash\nrun_app.R\n```\n\n1. Import Data:\n\n- Click \"Data Import \u0026 Preprocessing\"\n- Upload your data file\n- Select preprocessing options\n\n- Create Visualizations:\n  - Choose visualization type\n  - Select variables\n  - Customize appearance\n  - Export or share results\n\n### Advanced Usage\n\n#### Custom Preprocessing\n\n```r\nCustom preprocessing pipeline\npreprocess_data(data, steps = c(\n\"clean\",\n\"transform\",\n\"engineer\"\n), params = list(\noutlier_threshold = 0.05,\nscaling_method = \"minmax\",\nfeature_engineering = TRUE\n))\n```\n\n#### Custom Visualizations\n\n```r\nCreate advanced visualization\ncreate_advanced_visualization(\ndata = processed_data,\nviz_type = \"network\",\nparams = list(\nlayout = \"force-directed\",\nnode_size = \"degree\",\nedge_weight = \"correlation\"\n)\n)\n```\n\n#### Theme Customization\n\n1. Modify `www/custom.css`\n\n## Advanced Features\n\n### API Integration\n\nThe suite supports integration with external APIs:\n\n```r\nExample API connection\nconnect_api(\nendpoint = \"https://api.example.com/data\",\nauth_token = YOUR_TOKEN,\nparams = list(\ndate_range = c(\"2023-01-01\", \"2023-12-31\"),\nmetrics = c(\"sales\", \"revenue\")\n)\n)\n```\n\n### Automated Reporting\n\n```r\nGenerate automated report\ngenerate_report(\ntemplate = \"executive_summary\",\ndata = processed_data,\nvisualizations = plot_list,\noutput_format = \"html\"\n)\n```\n\n### Batch Processing\n\n```r\nProcess multiple datasets\nbatch_process(\ndata_dir = \"data/raw\",\noutput_dir = \"data/processed\",\npreprocessing_steps = preprocessing_pipeline\n)\n```\n\n## Customization\n\n### Adding New Visualizations\n\n1. Create new visualization function in `R/advanced_visualizations.R`\n2. Register visualization in UI controls\n3. Add processing logic in server function\n\n### Custom Themes\n\n1. Modify `www/custom.css`\n2. Add theme definition in `R/themes.R`\n3. Update theme selector in UI\n\n## Troubleshooting\n\n### Common Issues\n\n1. **Data Import Errors**\n   - Check file format compatibility\n   - Verify file permissions\n   - Ensure proper encoding\n\n2. **Performance Issues**\n   - Reduce dataset size\n   - Enable caching\n   - Optimize preprocessing steps\n\n3. **Visualization Errors**\n   - Verify data types\n   - Check variable selections\n   - Confirm sufficient memory\n\n### Debug Mode\n\n```r\nEnable debug mode\noptions(shiny.trace = TRUE)\noptions(shiny.fullstacktrace = TRUE)\n```\n\n## Contributing\n\n1. Fork the repository\n2. Create feature branch\n3. Commit changes\n4. Submit pull request\n\n### Development Guidelines\n\n- Follow R style guide\n- Add unit tests\n- Update documentation\n- Maintain backward compatibility\n\n## License\n\nMIT License - See LICENSE file for details\n\n## Contact\n\nFor support or feature requests:\n\n- Create an issue\n- Email: \u003csupport@visualization-suite.com\u003e\n- Documentation: \u003chttps://docs.visualization-suite.com\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fexios66%2Fmatlab","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fexios66%2Fmatlab","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fexios66%2Fmatlab/lists"}