RTutor

RTutor uses OpenAI's powerful large language models to translate natural language into R (or Python) code, which is then executed. Upload a data file (CSV, TSV/tab-delimited text files, and Excel) and just analyze it in plain English. Your results can be downloaded as an HTML report in minutes. The service operates from a web interface and emphasizes data analysis through questions and code generation, with caution about script correctness and the need for validation.

RTutor provides a workflow that starts with data upload, prompts, and code generation, using the default model (GPT-4o) to maintain context across questions within a session. It supports data preparation and cleaning steps, and iterates on code and plots based on user prompts, with an option to reset to start over.

RTutor describes its collaboration as translating questions into executable data analysis code, offering a Q&A box to query code, results, or errors, and enabling code chunks to be executed and refined. It highlights an ability to generate an HTML report from analyses and to customize prompts before sending to the language model.

RTutor clarifies licensing and deployment options, noting free access for non-profit organizations and commercial licensing for business use, including customization and local installation. It mentions plans for accessibility via web, API-like integrations, and other distribution paths under licensing terms.

Use cases

• Analyze data by asking simple questions and generating plots or summaries