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Using AI with R

Using AI in Positron

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View code shown in video 
# Load Packages -----------------------------------------------------------

library(tidyverse)

# Import Data -------------------------------------------------------------

survey_english <-
  read_tsv("https://raw.githubusercontent.com/rstudio/r-community-survey/refs/heads/master/2020/data/2020-english-survey-final.tsv")

# Data Analysis -----------------------------------------------------------

# Count the responses on the Qr_experience variable, grouped by Qr_how_often_used
# Keep the result in a tidy format
# Use the native pipe (|>) not the tidyverse pipe (%>%)

survey_english |>
  count(Qr_how_often_used, Qr_experience)

# Create a bar chart to show the number of responses to the Qr_experience variable
# Only use the geom_col() function, not geom_bar()
survey_english |>
  count(Qr_experience) |>
  ggplot(aes(x = Qr_experience, y = n, fill = Qr_experience)) +
  geom_col()

survey_english |>
  ggplot(aes(x = Qr_experience)) +
  geom_bar()

Learn More

To learn about Codeium, check out the Codeium website.

This walkthrough of using Codeium in Positron by Stephen Turner is very useful. It discusses writing Python code but the use of Codeium works no matter the language you are using.

Have any questions? Put them below and we will help you out!

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Course Content

5 Lessons