RTutor helps users analyze data and generate and evaluate R and Python scripts.

RTutor

RTutor is an AI-powered statistical tutor that helps users analyze and generate code to evaluate data in R and Python.

RTutor
RTutor
RTutor
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Hi I'm your statistics tutor.  
                    I am still in college learning new things.
                    But I try to be helpful.  
                    I did finish my required reading:
                    thousands of books, millions of code repositories, 
                    and billions of web pages.
                    I'm not being hyperbolic. Just bragging. 
                    BTW, I can generate and evaluate both R and Python scripts
                     from instructions in dozens of human languages.
Instructions:
Start small. Gradually add complexity. First, try simple requests 
                  such as distributions, basic plots, or simple models. 
                  Then customize it or add variables.
Released as a prototype for testing, RTutor was just an idea 
                  a few weeks ago. Keep your expectations low and 
                  send us your valuable feedback (lower left).
It can take a few tries to get it correct. If it still does not
                  work, rephrase your request. Also, increase 
                  the "Temperature" setting will make the AI more aggressive in
                  seeking alternative solutions.
Prepare and clean your data in Excel first! 
                  RTutor can only analyze traditional 
                  statistics data, where rows are 
                  observations and columns are variables.
Once uploaded, your data is automatically loaded into
                  RTutor as a data frame called df.
Check if the data types are correct: numeric
                  columns vs. categories (factors or characters). See below.
                    You can tell RTutor to convert by saying
                    "Convert cyl as numeric", or "Convert year as factor". 
                   We try to auto-detect (Settings).
                   Data types make a big difference in analysis and plots!
Before sending your request to OpenAI, we add "Generate R code" before it, and 
                  append something like "Use the df data frame. 
                  Note that hwy is numeric" afterward. 
                  If you are not using any data (plot a function or simulations),
                  choose "No data" from the Data dropdown.
Your data is not sent to the AI. To ask generic questions without
                  mentioning column names, briefly describe your data, especially 
                  the relevant columns, just like emailing a statistician 
                  who knows nothing about your data.
Each chunk of code is run independently using your uploaded data. 
                  If you want to build upon the current code, 
                  select the "Continue from this chunk" checkbox.
                  Your current R code will be inserted before your next chunk 
                  and get executed. This is especially important for 
                  data wrangling when you remove rows,
                  add columns, or log-transform. You can go back to any previous 
                  chunks and continue from there.
AI generated code:
Continue from this chunk
Results:
Code chunks to include:
RMarkdown
Basic
Summary
Table1
Categorical
Numerical
Correlation
GGpairs
Generated by the
summarytools
package using the command:summarytools::dfSummary(df).
Generated by the CreateTableOne() function in the
tableone
package.
Generated by the plot_bar() function in the
DataExplorer
package.
Generated by the plot_qq() and plot_histogram() functions in the
DataExplorer
package.
Generated by the corr_plot() functions in the
corrplot
package.
Please wait for 30 seconds. Generated by the ggpairs() functions in the
GGally
package.
Example questions:
Lookup R package
Explain concepts
Find statistic method
How to, situation
How to, methods
How to, evaluation
How to, interpretation
How to, outliers
How to, interpretation
Vague question, rejected
Vague question, w/ context
Chinese, 中文
Ukrainian
Arabic
Hindi, हिन्दी भाषा
Spanish, En español
German, deutsche Sprache
French, Français
Luxembourgish
Vietnamese
Portuguese
Japanese, 日本語
Italian, Italiano
Persian
Ask RTutor
RTutor uses
OpenAI's
powerful 
          text-davinci-003
          language model
           to translate natural language into R code, which is then excuted.
          You can request your analysis,
          just like asking a real person.
          Upload a data file (CSV, TSV/tab-delimited text files, and Excel) 
          and just analyze it in plain English. 
          Your results can be downloaded as an HTML report in minutes!
NO WARRANTY! Some of the scripts run but yield incorrect result. 
        Please use the auto-generated code as a starting 
        point for further refinement and validation.
          The RTutor.ai website and the 
          source code (CC BY-NC 3.0 license) are freely 
          availble for academic and 
          non-profit organizations only. 
          Commercial use beyond testing please contact
gexijin@gmail.com.
Personal project by
Steven Ge.
For feedback, please email
gexijin@gmail.com.
Source code at
GitHub,
from where you can also find 
          instruction to install RTutor as an R package.
Update log:
v 0.90  1/15/2023. Generates and runs Pyton code in addition to R!
v 0.8.6  1/8/2023. Add description of the levels in factors.
v 0.8.5  1/6/2023. Demo in many foreign languages.
v 0.8.4  1/5/2023. Collect  user feedback.
v 0.8.3  1/5/2023. Collect some user data for improvement.
v 0.8.2  1/4/2023. Auto convert first column as row names.
v 0.8.1  1/3/2023. Option to convert some numeric columns with few unique levels to factors.
v 0.8.0  1/3/2023. Add description of columns (numeric vs. categorical).
v 0.7.6 12/31/2022. Add RNA-seq data and example requests.
v 0.7.5 12/31/2022. Redesigned UI.
v 0.7 12/27/2022. Add EDA tab.
v 0.6 12/27/2022. Keeps record of all code chunks for resue and report.
v 0.5 12/24/2022. Keep current code and continue.
v 0.4 12/23/2022. Interactive plot. Voice input optional.
v0.3 12/20/2022. Add voice recognition.
V0.2 12/16/2022. Add temperature control. Server reboot reminder.
V0.1 12/11/2022. Initial launch
RTutor went viral!
LinkedIn
Twitter
Twitter(Physacourses)
Facebook (Carlo Pecoraro)
Frequently asked questions:
1.	What is RTutor?
It is an artificial intelligence (AI)-based app that enables 
        users to interact with your data via natural language.
        After uploading a 
        dataset, users ask questions about or request analyses in 
        English. The app generates and runs R code to answer that question 
        with plots and numeric results.
2.	How does RTutor work?
The requests are structured and sent to OpenAI’s AI
        system, which returns R code. The R code is cleaned up and 
        executed in a Shiny 
        environment, showing results or error messages. Multiple 
        requests are logged to produce an R Markdown file, which can be
          knitted into an HTML report. This enables record keeping 
          and reproducibility.
3.	Can people without R coding experience use RTutor for statistical analysis?
Not entirely. This is because the generated code can be wrong.
        However, it could be used to quickly conduct data 
        visualization, and exploratory data analysis (EDA). 
        Just be mindful of this experimental technology.
4.	Who is it for?
The primary goal is to help people with some R experience to learn
        R or be more productive. RTutor can be used to quickly speed up the 
        coding process using R. It gives you a draft code to test and 
        refine. Be wary of bugs and errors.
5.	How do you make sure the results are correct?
Try to word your question differently. And try 
        the same request several time. A higher temperature parameter will give 
        diverse choices. Then users can double-check to see 
        if you get the same results from different runs.
6.	Can you use RTutor to do R coding homework?
No. That will defy the purpose. You need to learn
        R coding properly to be able to tell if the generated 
        R coding is correct.
7.	Can private companies use RTutor?
No. It can be tried as a demo. RTutor website 
        dnd source code are freely available for non-profit organizations
        only and distributed using the CC NC 3.0 license.
8.	Can you run RTutor locally?
Yes. Download the R package and install it locally. 
        Then you need to obtain an API key from OpenAI.
9.	Why do I get different results with the same request?
OpenAI’s language model has a certain degree of randomness 
        that could be adjusted by parameters called "temperature". 
        Set this in  Settings
10.	How much does the OpenAI’s cost per session?
About $0.01 to $0.1, if you send 10 to 50 requests. We have a
        monthly usage limit. Once that is exceeded, the website will
          not work for the month. If you use it regularly, please use 
          your API key. Currently, RTutor receives no funding. 
          We might ask users to contribute later.
11.	Can this replace statisticians or data scientists?
No. But RTutor can make them more efficient.
12.	How do I  write my request effectively?
Imagine you have a summer intern, 
        a collge student 
        who took one semester of statistics and R. You send the 
        intern emails with instructions and he/she sends 
        back code and results. The intern is not experienced, 
        thus error-prone, but is hard working. Thanks to AI, this
        intern is lightning fast and nearly free.
13. Can I install R package in the AI generated code?
No. But we are working to pre-install all the R
          packages on the server! Right now we finished the top 5000 most 
          frequently used R packages. Chances are that your favorite package
          is already installed.
14. Can I upload big files to the site?
Not if it is more than 10MB. Try to get a small portion of your data. 
        Upload it to the site to get the code, which can be run locally on your 
        laptop. Alternatively, download RTutor R package, and use it from your
        own computer.
15. The server is busy. Or the website is stuck!
Start a new browser window, not another tab. You will be assigned
        to a new worker process. You can also try our mirror site
https://bcloud.org.
16. Voice input does not work!
One of the main reason
        is that your browser block the website site from accessing the microphone. 
        Make sure you access the site using
https://RTutor.ai.
With http, mic access is automatically blocked in Chrome.
        Speak closer to the mic. Make sure there 
        is only one browser tab using the mic.

RTutor is an AI-powered statistical tutor that helps people analyze data and generate and evaluate both R and Python scripts. It is still in the testing phase, so users should not expect too much from it. To use RTutor, users should first prepare and clean their data in Excel, then upload it into RTutor as a data frame called df. After that, they can ask RTutor to generate R code or to convert data types such as numeric or categories. Additionally, users can adjust the "Temperature" setting to make the AI more aggressive in seeking alternative solutions. Finally, they can also send feedback to help improve RTutor.

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