Rtutor – Conversational R data assistant

Rtutor is an interactive R-powered assistant that helps you explore, clean, visualize, and analyze tabular data without writing R from scratch. Using GPT-4o by default, it generates R code, remembers prior code/output in the session, and lets you iteratively refine plots and analyses through plain-text requests.

Rtutor Key Features:

  • Built-in EDA tab for quick dataset exploration
  • Auto-loads your upload into an R data frame named df
  • GPT-4o-generated R code (prompt-engineered for your data)
  • Context-aware sessions: previous chunks become editable context
  • Support for a second dataset as df2 for combined analysis
  • Random 5-row sampling sent to the model (opt-out available)
  • Reset button to start a fresh analysis session
  • Guidance to prepare/clean data in Excel and check column types

Who Should Use Rtutor?

Data analysts, researchers, students, and product teams working with observation-style tabular data will benefit most. It’s also helpful for domain experts who want to prototype analyses and collaborate with engineers without deep R expertise.

Why It’s Unique ?

rtutor stands out by making R workflows conversational: generated code, plots, and previous interactions become the session’s context so you can refine results naturally (e.g., “Change background color to white”). Its pre-prompting (adds “Generate R code” + data notes) and automatic df load speed up prototyping while keeping data ephemeral—your session data isn’t stored on the server after use.