RTutor is a web app that turns plain-English requests into R (or Python) code, runs it against your uploaded data and returns results plus a downloadable HTML report. Built on large language models such as GPT-4o, it lets analysts upload a CSV, TSV or Excel file and explore distributions, plots, correlations and EDA reports without writing code.
RTutor is a web app that turns plain-English requests into R (or Python) code, runs it against your uploaded data and returns results plus a downloadable HTML report. Built on large language models such as GPT-4o, it lets analysts upload a CSV, TSV or Excel file and explore distributions, plots, correlations and EDA reports without writing code.
Natural language to R/Python
Upload CSV, TSV or Excel files and request analyses in plain English; RTutor generates the R or Python code and executes it for you.
Guided analysis tabs
Dedicated tabs for basic, categorical and numerical analysis, summary statistics, tables, correlation and GGpairs plots guide common workflows.
Downloadable EDA reports
Generate multi-section EDA reports and download them as HTML documents in minutes.
Conversational iteration
In a session, previous questions and generated code become context, so you can refine charts and clean data conversationally.
優勢與優點
+Analyze data by describing requests in plain English — no R syntax required
+Runs generated code and returns results, plots and a downloadable HTML report
+Context carries within a session, so you can refine charts and clean data conversationally
+
Guided tabs for EDA, distributions, tables and correlations speed up common tasks
+Available as an R package from GitHub, and Python mode is supported
+Clear privacy stance with automatic deletion of uploaded data after the session
限制
–Generated code can be logically wrong even when it runs without error, so results need validation
–Analyzes only traditional statistical data where rows are observations and columns are variables
–Non-profit use is free but commercial use requires a paid license
–By default a small random sample of rows is sent to OpenAI unless you opt out in settings
–Complex or messy datasets are better handled by its sibling tool Datably.ai
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專項更強Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
專項更強Replicate is a cloud API for running, fine-tuning, and deploying machine learning models. Spin up open-source and hosted models — from image, video, and audio generation to speech synthesis, captioning, and LLM inference — with one line of code, or package your own model with Cog and put it behind a production-ready API.