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RTutor

Chat with your data using AI-powered analysis

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Overview

RTutor is an AI-based tool for data analysis. It provides a natural language interface for users to interact with their data. It can be used to generate R and Python code for various statistical analyses and generate reports in HTML format.

It is built on OpenAI’s powerful text-davinci-003 language model and can translate natural language into R and Python code.It supports data files in CSV, TSV/tab-delimited text files, and Excel formats.

It can also detect data types automatically, convert numeric columns to factors, and generate descriptive summaries and plots. It can also generate code for correlation, GGpairs, and other analyses.RTutor also supports natural language processing in dozens of human languages, including Chinese, Ukrainian, Arabic, Hindi, Spanish, German, French, Luxembourgish, Vietnamese, Portuguese, Japanese, Italian, Persian and more.It can also be used to answer generic questions without mentioning column names as it can detect and understand context.

RTutor is released as a prototype for testing and improvement.RTutor is a personal project of Steven Ge and is freely available for academic and non-profit organizations only.

Commercial use beyond testing is not allowed.

RTutor website

Access & connections

Where you can use RTutor, and what it plugs into.

Platforms

Web

Integrations

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Tabular
  • Text

Output

  • Code
  • Text

Releases 1

Initial release December 19, 2022 Current
Initial release of RTutor.

FAQ 12

What is RTutor?
RTutor is an artificial intelligence-based tool for data analysis. It employs a natural language interface for users to interact with their data. It can translate natural language into R and Python code, and execute numerous statistical analyses. RTutor can generate descriptive summaries and plots, and works equally well with data files in various formats such as CSV, TSV/tab-delimited text files, and Excel. It has a multilingual functionality, supporting several global languages.
How does RTutor translate natural language into R and Python code?
RTutor uses OpenAI's text-davinci-003 language model to translate natural language into R and Python code. Requests structured in natural language are processed through the AI model, which subsequently generates R and Python code. This code is then cleaned up and executed in a Shiny environment, displaying results or error messages as necessary.
How does RTutor support different languages for data analysis?
RTutor leverages the powerful capabilities of OpenAI’s text-davinci-003 language model, which supports various languages. This makes it possible for RTutor to process natural language instructions in many global languages, including but not limited to Chinese, Ukrainian, Arabic, Hindi, Spanish, German, French, Luxembourgish, Vietnamese, Portuguese, Japanese, Italian, and Persian.
What file formats does RTutor support for data analysis?
RTutor can analyse data files in CSV, TSV/tab-delimited text files, and Excel formats. Once uploaded, these data files are automatically loaded into RTutor as a data frame referred to as 'df'.
How does RTutor generate reports in HTML format?
RTutor logs multiple requests to produce an R Markdown file that includes the executable R code. This file can be knitted into an HTML report, enabling record keeping and reproducibility of the analysis and results.
Can I use RTutor to generate Python code?
Yes, besides R code, RTutor can also generate Python code from instructions given in natural language. As per recent updates, Python code generation and execution is one of the features RTutor boasts.
What statistical analyses can RTutor perform?
RTutor can perform various statistical analyses including but not limited to descriptive summaries, plots, correlation analysis, and GGpairs analysis. It can also generate code for these analyses in R and Python for further execution. The type of analysis RTutor performs largely depends on the natural language command given by the user.
How can RTutor help with data types detection and conversion?
RTutor is equipped with a feature that auto-detects data types and ensures they are appropriately cast for analysis. It can check if the data types are correct in terms of numeric columns juxtaposed with categories (factors or characters). If required, users can instruct RTutor to convert the data type by communicating, for example, 'Convert cyl as numeric' or 'Convert year as factor'.
How does RTutor's automatic numeric columns to factors conversion function work?
RTutor's automatic numeric columns to factors conversion function is specially designed to improve data analysis. Numerical columns that have a limited number of unique values can be automatically converted to factors. This function is crucial because data types can significantly impact the analysis and plots.
How does RTutor generate descriptive summaries and plots?
RTutor generates descriptive summaries and plots based on the natural language command provided by the users. It processes the command, converts it into R or Python code, executes the code, and presents the summaries and plots as part of the result. Various aspects of exploratory data analysis such as distributions, basic plots, or simple models, can be obtained as per user's requirements.
How does RTutor's correlation analysis feature work?
RTutor's correlation analysis feature is cleverly built in. When a user requests a correlation analysis in natural language, RTutor generates corresponding R or Python code and executes it. The results include a correlation matrix or a correlation plot representation depending upon the specific command given by the user.
Can RTutor generate GGpairs analysis code?
Yes, RTutor can generate GGpairs analysis code. Users can request this form of analysis in natural language, following which RTutor generates the corresponding R or Python code and executes it to provide a GGpairs analysis result.
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