CommencerCommencer gratuitement

Summarizing user types

Since you can use the count() wrapper, why bother counting rows in a group as part of a grouped summary? Sometimes you want a more detailed summary, and knowing how to compute a count as part of a grouped summary that mixes numeric and categorical summaries can come in handy.

Cet exercice fait partie du cours

Introduction to Text Analysis in R

Afficher le cours

Instructions

  • Group twitter_data by whether or not a user is verified.
  • Compute the average number of followers for each type of user. Call this new column avg_followers.
  • Count the number of verified and non-verified users. For consistency, call this new column n.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

library(tidyverse)

twitter_data %>% 
  # Group by whether or not a user is verified
  ___(___) %>% 
  summarize(
    # Compute the average number of followers
    ___ = ___,
    # Count the number of users in each category
    ___ = ___
  )
Modifier et exécuter le code