Exercise

Airline tweets data

The twitter_data data frame has over 7,000 tweets about airlines. The tweets have already been classified as either complaints or non-complaints in the complaint_label column. Let's get a sense of how many of these tweets are complaints.

Be aware that this is real data from Twitter and as such there is always a risk that it may contain profanity or other offensive content (in this exercise, and any following exercises that also use real Twitter data).

Instructions

100 XP

Load the tidyverse package.
Get a sense of the size and content of the data by printing twitter_data.
Filter twitter_data so it's just the complaints. How many complaints are in the data?