1. Open and prepare the dataset

You can off course stip these steps if you already have a dataframe with a text, datetime, and count variable column.

2. Getting the words counts

2013 has most references to 'expensive,' yet we also know that the total number of reviews per year can differ quite a bit. We can address this issue by assesing the average count of a term per review.

This shows that the relative use of the term of interest decreases with time