RTutor

What is RTutor?

RTutor is an AI-driven web application designed to simplify statistical data analysis by enabling users to interact with their datasets using plain English. By leveraging OpenAI's advanced language models, RTutor automatically generates executable R or Python code based on user queries, producing instant outputs such as graphs, tables, and statistical summaries. It supports multiple data formats including CSV, TSV, and Excel, and provides downloadable reports in HTML or R Markdown formats. RTutor targets users ranging from students and researchers to business professionals who want to perform data analysis without deep programming expertise, while still allowing code refinement and reproducibility.

Key Features

• Natural Language Interface

  Users can request data analyses and visualizations using simple English sentences or voice commands, eliminating the need for manual coding.

• Automatic R and Python Code Generation

  RTutor translates natural language queries into executable R or Python scripts, accelerating the data analysis workflow.

• Multi-Format Data Support

  Supports uploading datasets in CSV, TSV, and Excel formats for flexible data input.

• Instant Interactive Results

  Generates immediate outputs including interactive plots and numeric summaries for quick insight.

• Report Generation and Request Logging

  Compiles user requests and results into downloadable R Markdown or HTML reports for documentation and reproducibility.

• Multilingual and Speech Recognition Support

  Enables natural language queries in multiple languages and accepts voice input for enhanced accessibility.

Use Cases

• Data Exploration and Visualization : Users can quickly explore datasets and generate visual summaries without writing code.
• Statistical Analysis for Researchers and Students : Facilitates basic to intermediate statistical tests and modeling through natural language requests.
• Rapid Prototyping of R/Python Scripts : Data scientists and analysts can generate draft code snippets to accelerate coding and refinement.
• Business Reporting and Decision Making : Business professionals can obtain data insights and export reports for presentations without coding skills.
• Educational Tool for Learning Data Science : Supports learners in understanding statistical analysis by showing both code and results interactively.

FAQs