This translator bridges the gap between natural language descriptions and the specific syntax of R programming. It is designed to understand common data manipulation and visualization requests, converting them into robust and functional R code. The translator's goal is to automate the process of transforming user intentions into actionable R commands, ensuring clarity, efficiency, and correctness. It's particularly helpful for those who might struggle with the complexities of directly constructing R scripts from scratch, providing a streamlined way to produce effective analyses based on textual input.
Example Translations
Normal Language
"Calculate the mean of the 'hp' variable in the mtcars dataset"
R
"mean(mtcars$hp)"
Normal Language
"Find the maximum value in the 'disp' column"
R
"max(mtcars$disp)"
Normal Language
"Sort the 'mtcars' data frame in ascending order by 'gear'"
R
"mtcars[order(mtcars$gear),]"
Normal Language
"Create a histogram of the 'hp' variable"
R
"hist(mtcars$hp)"
Normal Language
"Filter the mtcars dataset to show only cars with more than 200 horsepower"
R
"mtcars[mtcars$hp > 200,]"
Normal Language
"Extract the first 10 rows of the mtcars dataset"
R
"head(mtcars, 10)"