Databot: AI-assisted information evaluation in R or Python

I requested for visualizations, and it responded:

There are a lot of fascinating variables we might visualize. Let me recommend a couple of prospects:

Prompt subsequent steps:

Are you able to create a histogram of sport whole scores to see the distribution of scoring?   
May you make a field plot evaluating residence vs away crew scores?   
Let's create a scatter plot of temperature vs whole rating to see if climate impacts scoring.   
Are you able to present me the distribution of betting spreads and the way they relate to precise sport outcomes?   
May you create a visualization exhibiting win/loss data by crew?   

Which of those pursuits you, or would you wish to discover one thing else within the information? I might help create any sort of visualization you'd discover helpful!

I requested for the climate versus scoring plot, and it wrote R code that sadly didn’t present an fascinating development. Subsequent, I attempted the histogram of whole scoring, which returned R code, the bot’s observations, and a plot. Databot then supplied the next evaluation:

This visualization reveals a number of fascinating patterns about NFL scoring:

1. The distribution seems roughly regular (bell-shaped), with some slight proper skew   
2. The imply whole rating is about 44.5 factors   
3. The median may be very near the imply at about 44 factors   
4. Most video games fall between roughly 30 and 60 whole factors   
5. There are a couple of outlier video games with very excessive scoring (80+ factors) and really low scoring (<20 factors)

Sharon Machlis

Whereas many mainstream chatbots have related capabilities, few write and run R code like this; generative AI information evaluation code is typically done in Python.