
RTutor
Summary: RTutor is an AI-based app for data analysis using natural language.
data analysisAInatural language processing
Introduction
RTutor is an artificial intelligence (AI)-based app that allows users to interact with their data using natural language. It generates R code to analyze the data and provides plots and numeric results as outputs.
Key Features
RTutor's core features include the ability to upload and analyze datasets, ask questions about the data in natural language, generate R code for analysis and visualization, and provide interactive plots and numeric results. It also allows users to continue from previous code chunks and keeps a record of all code for reproducibility.
Frequently Asked Questions
What is RTutor?
How to use RTutor?
What is RTutor?
How does RTutor work?
Can people without R coding experience use RTutor for statistical analysis?
Who is RTutor for?
How do you ensure the correctness of the results generated by RTutor?
Can RTutor be used for R coding homework?
Can private companies use RTutor?
Can RTutor be run locally?
Why do I get different results with the same request?
How much does OpenAI's cost per session?
Can RTutor replace statisticians or data scientists?
How can I effectively write my request in RTutor?
Can R packages be installed within the AI-generated code in RTutor?
Can large files be uploaded to the RTutor website?
The server is busy or the website is stuck. What should I do?
Voice input does not work. What could be the issue?
Is the photo on the website yours?
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Use Cases
- RTutor can be used for a variety of purposes, such as data exploration, visualization, and basic statistical analysis. It is particularly helpful for users with some R coding experience who want to speed up their coding process and get a draft code to test and refine. It can be used by individuals, students, and researchers in various fields.
How to Use
To use RTutor, start by uploading a dataset in CSV, TSV/tab-delimited text files, or Excel format. Then, ask questions or make requests about the data in plain English. The AI system generates R code based on the queries, which is executed in a Shiny environment to display results. The generated code can be refined and validated by the user for further analysis.