I design and develop custom R Shiny applications to support interactive data analysis, visualization, and decision-making. This task is ideal for researchers, analysts, and organizations that need a user-friendly interface on top of complex statistical or data science workflows.
With senior-level experience building R Shiny tools used by technical and non-technical stakeholders, I focus on applications that are robust, reproducible, and clearly documented.
What This Task Includes
Application Design

• Review of analytical goals and user needs
• Definition of app scope, inputs, and outputs
• UI/UX design focused on clarity and usability

Development

• Server-side implementation of statistical or data science logic
• Interactive visualizations and tables
• Input validation and basic error handling

Testing & Delivery

• Functional testing and refinement
• Clear documentation for use and maintenance
• Delivery of fully reproducible R Shiny code

Client Should Provide

• Description of intended use and target users
• Example datasets or data structure
• Preferred deployment environment (local, server, etc.)

Notes for Clients

• Hosting, server configuration, and authentication are not included by default but can be scoped separately.
• Please contact me before starting to ensure proper scoping and timelines.