Visualizing word counts using factors
I've added a number of other custom stop words (including the airline names) and tidied the data for you. Now you will create an improved visualization and plot the words arranged in descending order by word count.
This exercise is part of the course
Introduction to Text Analysis in R
Exercise instructions
- Only keep the terms that occur more than 100 times in the
non_complaints. - Reorder the
wordcolumn as a factor ordered by word counts. - Create a bar plot using the new word column with type factor.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
word_counts <- tidy_twitter %>%
filter(complaint_label == "Non-Complaint") %>%
count(word) %>%
# Keep terms that occur more than 100 times
___(___) %>%
# Reorder word as an ordered factor by word counts
___(word2 = ___(___, ___))
# Plot the new word column with type factor
___(___, aes(___, ___)) +
___() +
___() +
ggtitle("Non-Complaint Word Counts")