| tutorial-id | none | introduction | 
  
   | information-name | question | Aaditya Gupta | 
  
   | information-email | question | aadi10may@gmail.com | 
  
   | what-you-will-learn-2 | exercise | library(tidyverse) | 
  
   | what-you-will-learn-3 | exercise | ?sqrt | 
  
   | what-you-will-learn-4 | exercise | ?diamonds | 
  
   | looking-at-data-4-b | question | A dataset containing the prices and other attributes of almost 54,000 diamonds. The variables are as follows: | 
  
   | what-you-will-learn-5 | exercise | x <- sqrt(144) | 
  
   | what-you-will-learn-6 | exercise | diamonds | 
  
   | what-you-will-learn-7 | exercise | print(diamonds) | 
  
   | what-you-will-learn-8 | exercise | print(diamonds, n = 3) | 
  
   | what-you-will-learn-9 | exercise | glimpse(diamonds) | 
  
   | what-you-will-learn-10 | exercise | summary(diamonds) | 
  
   | what-you-will-learn-11 | exercise | #sqrt(144) | 
  
   | how-this-book-is-organized-1 | exercise | glimpse(mpg) | 
  
   | how-this-book-is-organized-2 | exercise | ggplot(data = mpg) | 
  
   | how-this-book-is-organized-3 | exercise | ggplot(data = mpg, mapping = aes()) | 
  
   | how-this-book-is-organized-4 | exercise | ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) | 
  
   | how-this-book-is-organized-5 | exercise | ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) + geom_point() | 
  
   | how-this-book-is-organized-6 | exercise | ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) + geom_point(alpha = 0.5) | 
  
   | how-this-book-is-organized-7 | exercise | ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) + geom_point(alpha = 0.5, color = "steelblue") | 
  
   | how-this-book-is-organized-8 | exercise | ggplot(data = mpg, mapping = aes(x = displ, y = hwy)) +
geom_point(alpha = 0.5, color = "steelblue") +
labs(title = "Measurements for Engine Displacement and Highway Fuel Efficiency of Select Car Models",
subtitle = "Cars with greater enginer displacement are less fuel efficient", x = "Engine Displacement (L)",
y = "Highway Efficiency (mpg)", caption = "EPA (2008)") | 
  
   | running-r-code-1 | exercise | gss_cat | 
  
   | running-r-code-2 | question | A sample of categorical variables from the General Social survey | 
  
   | running-r-code-3 | exercise | gss_cat |> print() | 
  
   | running-r-code-4 | exercise | gss_cat |> filter(age > 88) | 
  
   | running-r-code-5 | exercise | gss_cat |> filter(age > 88) |> select(age, marital, race, relig, tvhours) | 
  
   | running-r-code-6 | exercise | gss_cat |> filter(age > 88) |> select(age, marital, race, relig, tvhours) |> arrange(desc(tvhours)) | 
  
   | download-answers | question | 35 |