Tidy Data With Large Language Models • tidyair

Tidy Data With Large Language Models.

Installation

You can install the development version of tidyair from GitHub with:

# install.packages("devtools")
devtools::install_github("umatter/tidyair")

Example

This is a basic example which shows you how to solve a common problem:

# load package
library(tidyair)

# set your OpenAI API key
TheOpenAIR::openai_api_key("YOUR-KEY-HERE")

 # Create a messy data.frame with air data
 messy_data <- data.frame(
   date_pm25 = c("2021-01-01|10", "2021-01-02|12", "2021-01-03|15"),
   date_pm10 = c("2021-01-01|20", "2021-01-02|25", "2021-01-03|30"),
   stringsAsFactors = FALSE
 )

 # Process the data.frame using tidyair
 tidied_data <- tidyair(air_data)
 print(tidied_data)