RTutor

RTutor eliminates the need for coding knowledge by translating plain English questions into working R or Python code. Simply upload your CSV, TSV, or Excel dataset and describe what you want to analyze—the AI handles the technical implementation instantly. This democratizes data analysis, allowing researchers, students, and professionals to extract insights without mastering programming syntax. The platform delivers comprehensive exploratory data analysis through automated reports, correlation matrices, categorical summaries, and publication-ready visualizations. Built on GPT-4o technology, RTutor integrates proven R packages like ggplot2, DataExplorer, and corrplot to ensure statistical accuracy and professional output quality. Users can download results as HTML reports for presentations, documentation, or further refinement. RTutor's session-based context system enables iterative analysis workflows. After generating an initial visualization or analysis, users can refine results with follow-up prompts—such as 'adjust the color scheme' or 'add a trend line'—without repeating earlier steps. This conversational approach reduces friction and accelerates exploration cycles for rapid hypothesis testing. Flexibility is built in: the platform includes preloaded demo datasets for immediate exploration, supports personal OpenAI API key integration to manage costs, and can be installed locally as an R package for offline use. Free access is available for nonprofits, while commercial users can license the service. Source code transparency on GitHub allows organizations to audit functionality and contribute improvements.