RTutor

Overview of RTutor - Chat with Your Data via AI

RTutor is an artificial intelligence (AI) powered web application that allows users to interact with their data and conduct statistical analysis via conversational natural language. After uploading a dataset, users can ask questions or make requests for analysis just by typing or speaking in plain English. RTutor will generate R code based on the requests and execute it to produce results like plots, tables, and statistics. The key benefit is enabling those without coding skills to still be able to analyze data and generate insights quickly.

How Does RTutor Work?

• Users upload a dataset in a supported format like CSV, Excel, etc.
• The data is loaded into R as a data frame called df automatically.
• Users enter a request for analysis in natural conversational language, as if asking a person. For example, "Plot a histogram of age".
• The request is sent to OpenAI's powerful AI system GPT-3, which generates R code that tries to answer the question or conduct the analysis.
• The R code is executed by RTutor, and results like plots or statistics are displayed back to the user.
• Multiple requests are logged and combined into an R Markdown file that can be downloaded as a report.

Features and Benefits

• Natural language interface - No need to code. Just ask for what you want in plain English.
• AI generated code - Get draft R code automatically generated for you.
• Instant results - See plots, tables, statistics etc instantly without waiting.
• Log requests - All requests are logged for record keeping and reproducibility.
• Download report - Get an R Markdown report containing code and results.
• Voice input - Ask questions using your voice through speech recognition.
• Multiple languages - Make requests in many languages like English, Chinese, Spanish etc.
• Free to use - Available freely for academic/non-profit use.

Use Cases and Applications

RTutor can be used for:

• Quick exploratory data analysis and visualization for gaining insights.
• Statistical analysis like regression, ANOVA etc without coding.
• Students learning R coding can use it to quickly generate code templates.
• Data scientists can use it to get draft code to speed up projects.
• Creating quick reports by downloading the compiled R Markdown file.
• Conducting demos and presentations by instantly generating key plots on the fly.

Some examples of analysis you can do:

• Plot histograms, scatter plots, box plots of variables.
• Run statistical tests like t-test, chi-square, ANOVA, regression etc.
• Create tables with summary statistics of variables.
• Check correlations between variables.
• Identify and handle outliers.
• Transform variables and re-run tests.
• Generate descriptive statistics of groups.
• Run machine learning algorithms like random forests, SVM etc.

Who is RTutor For?

RTutor can be useful for:

• Students - Quickly learn R for data analysis without extensive coding.
• Researchers - Accelerate exploratory analysis and model building.
• Data analysts - Rapidly generate plots, statistics for reports.
• Presenters - Instantly create key plots to support presentations.
• Teachers - Use for demos and to engage students in class.
• R coders - Get draft code to speed up projects and learning.

Plans and Pricing

RTutor is currently freely available for academic and non-profit use only. Users are subject to monthly usage limits based on OpenAI costs.

For commercial use, please contact the author for pricing.

Is RTutor Free to Use?

Yes, RTutor is freely available for academic and non-profit organizations. But it has monthly limits on OpenAI usage. Heavy users might exceed the limits, in which case it stops working for the month. For unlimited commercial use, please contact the author.

Support

As an open source project, RTutor currently does not offer extensive end user support. Please post issues and feedback on the GitHub page. For additional support, priority feature requests, and commercial use, please contact the author.

Integrations and API

RTutor focuses on the R language currently. It does not offer API access to the core functionality. The source code is available on GitHub for developers to build custom integrations and solutions.

What Are Users Saying?

Early feedback on RTutor has been overwhelmingly positive. Users mention it helps them learn R more quickly and enables faster analysis without coding expertise. Many are impressed by the human-like conversational interface. Some highlights:

• "This is mind blowing!"
• "It's like having a free R coding assistant anytime."
• "In 5 minutes I made plots I struggled hours for before."
• "RTutor has ignited my passion for R again."

Frequently Asked Questions

Can I fully rely on the results?

No. The AI can make mistakes. Always double check the results are logical.

Do I still need to learn R coding?

Yes. You need basic R skills to validate the code and results.

How do I get started?

Upload a small data sample, keep requests simple at first, then add complexity gradually.

What data formats can I upload?

CSV, TSV, Excel. Data must be in a table format with columns as variables.

What is the monthly usage limit?

It varies based on OpenAI costs but typically allows hundreds of requests.