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Visualizing complaints

We ended the last chapter with complaint word counts. Now let's visualize those word counts with a bar plot.

The tidyverse and tidytext packages have been loaded. twitter_data has been tokenized and the standard stop words have been removed.

This exercise is part of the course

Introduction to Text Analysis in R

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Exercise instructions

  • Only keep the words with counts greater than 100.
  • Create a bar plot using word_counts with word mapped to the x-axis.
  • Flip the plot coordinates.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

word_counts <- tidy_twitter %>% 
  filter(complaint_label == "Complaint") %>% 
  count(word) %>% 
  # Keep words with count greater than 100
  ___(___)

# Create a bar plot using word_counts with x = word
ggplot(___, aes(___, ___)) +
  geom_col() +
  # Flip the plot coordinates
  ___()
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