Compare tweet frequencies for two brands
The volume of tweets posted for a product is a strong indicator of its brand salience. Let's compare brand salience for two competing brands, Puma and Nike.
In the previous exercise, you had created time series objects for tweets on Puma and Nike. You will merge the time series objects and create time series plots to compare the frequency of tweets.
The time series objects for Puma and Nike have been pre-loaded as puma_ts and nike_ts respectively.
The libraries rtweet, reshape, and ggplot2 have also been pre-loaded.
This exercise is part of the course
Analyzing Social Media Data in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Merge the time series objects with "time" as the common column
merged_df <- ___(puma_ts, nike_ts, by = "___", all = TRUE)
head(merged_df)