Welcome to the GitHub repository for the Shiny Chart Doctor, a data visualization tool inspired by the FT Chart Doctor column by Alan Smith, Head of Visual and Data Journalism at the Financial Times. This Shiny application serves as an interactive guide and tool for creating compelling and informative charts.

The Shiny Chart Doctor is designed to bring the principles and techniques of effective data visualization, as championed by Alan Smith in his FT Chart Doctor column, to a wider audience. By translating and incorporating these insights into an interactive Shiny app, we aim to make high-quality data visualization more accessible and intuitive.

• Interactive Guidance: The app provides step-by-step assistance in creating data visualizations, drawing from Alan Smith's expert insights.
• German Language Interface: Tailored for a German-speaking audience, particularly public officials, to support their work in data presentation.
• Based on Voronoys Template: Utilizes the Voronoys project as a foundation, ensuring a robust and user-friendly experience.

The Shiny Chart Doctor is primarily intended for use in workshops and educational settings, particularly focusing on German public officials involved in the NFDI (German Federal Data Infrastructure) project. However, it can be a valuable tool for anyone interested in improving their data visualization skills.

Access the app here: Shiny Chart Doctor

This app was developed and used in a workshop with German public officials as part of the NFDI initiative. The workshop focused on enhancing skills in data visualization and presenting complex information in an accessible format.

We welcome contributions and feedback to improve the Shiny Chart Doctor. If you have suggestions or want to contribute to the project, please feel free to open an issue or a pull request.

• Alan Smith and FT Chart Doctor: For the inspiration and guidance derived from the FT Chart Doctor column.
• Voronoys Project: For providing the template on which this app is based.
• NFDI: For their support and the opportunity to use this tool in a workshop setting.

This project is licensed under the MIT License - see the LICENSE file for details.

For any queries or further information, please contact Max M. Lang.

Note: This app is currently available in German only, reflecting its primary audience and use case. However, we are open to the idea of expanding to include other languages in the future based on user demand and contributions.