Catalogue des procédures

1 Clessnverse

1.1 Overview

The Datagotchi Meta Package is a comprehensive R ecosystem designed to streamline data analysis, visualization, and reporting workflows. It combines multiple specialized packages into a cohesive framework, providing tools for everything from data processing to advanced visualizations with a consistent, user-friendly interface.

1.2 Core Philosophy

The package follows several key principles:

  1. Consistency: All sub-packages follow similar design patterns and naming conventions
  2. Accessibility: Tools are designed to be usable by both beginners and advanced users
  3. Reproducibility: Emphasis on creating reproducible analyses and reports
  4. Aesthetics: Custom themes and visualization tools that maintain a consistent, professional look

1.3 Package Ecosystem

1.3.1 Data Processing & Analysis

  • Advanced data frame inspection and summarization tools
  • Survey data processing utilities
  • Statistical analysis functions
  • Factor analysis capabilities
  • Robust CSV handling and data merging utilities

1.3.2 Visualization

  • Custom ggplot2 themes (light and dark variants)
  • Interactive plotting tools
  • Specialized visualization functions:
    • Bar plots with custom styling
    • Cartograms for geographic data
    • Decision trees
    • Custom overlay capabilities
  • Built-in color schemes for political data visualization

1.3.3 Reporting

  • Report generation templates
  • Interactive graph creation utilities
  • Custom fonts and styling options
  • Logo and branding integration

1.4 Key Features

1.4.1 Consistent Theming

The package provides a unified visual language through: - Custom fonts (PixelOperatorSC and WebFont) - Predefined color schemes - Standardized plotting themes - Brand-consistent visualization options

1.4.2 Interactive Tools

  • Interactive graph creation with make_graph()
  • Decision tree visualization
  • Custom barplot creation with datagotchi_barplot()

1.4.3 Geographic Visualization

  • Built-in US state coordinates for cartograms
  • Political data visualization tools
  • State-level analysis capabilities

1.4.4 Data Processing

  • Robust data import capabilities
  • Survey data handling
  • Missing data analysis
  • Statistical processing utilities

1.5 Getting Started

1.5.1 Installation

# Install the meta package from GitHub
devtools::install_github("clessn/datagotchi")

# Load the package
library(datagotchi)

1.5.2 Basic Usage

# Load required packages
library(datagotchi)

# Create a basic visualization with the Datagotchi theme
ggplot(your_data) +
  geom_point() +
  theme_datagotchi_light()

# Use the interactive graph maker
make_graph(your_data)

1.6 Design Philosophy

The Datagotchi Meta Package is built around several core principles:

  1. Modularity: Each component is designed to work both independently and as part of the larger ecosystem
  2. Consistency: All components share common design patterns and naming conventions
  3. Flexibility: Tools can be customized to meet specific needs while maintaining consistency
  4. User Experience: Focus on intuitive interfaces and clear documentation

1.7 Future Development

The package is actively maintained and developed, with plans for: - Additional visualization tools - Enhanced reporting capabilities - Expanded geographic analysis tools - More interactive features - Improved documentation and vignettes

1.8 Contributing

We welcome contributions from the community. Areas where you can contribute include: - Bug reports and fixes - New features and enhancements - Documentation improvements - Example use cases and tutorials

1.9 Support and Resources

  • GitHub Repository: clessn/datagotchi
  • Bug Reports: Please use the GitHub issues page
  • Documentation: Available through package documentation and vignettes

1.10 Citation

When using the Datagotchi Meta Package in your research, please cite:

@software{datagotchi,
  title = {Datagotchi: A Comprehensive R Package for Data Analysis and Visualization},
  author = {Your Team},
  year = {2024},
  url = {https://github.com/clessn/datagotchi}
}

1.11 License

[Add your license information here]