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.
Diese Übung ist Teil des Kurses
Introduction to Text Analysis in R
Anleitung zur Übung
- 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.
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
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")