You may be able to use HT+Bookworm for testing actual hypotheses that you formulate in your research.
Consider the two words “lady” and “woman”. Many people believe that Britain has historically been a more class-divided country than the United States, with class hierarchies more prevalent in Britain than in the supposedly more democratic USA. A reasonable hypothesis, then, would be that the relative prevalence of the word “lady” over the word “woman” would be more pronounced in texts published in Britain than in those published in the USA.
Generate plots as shown below to check to see if this institution is verified. (This example is not meant to be a research study. It is intended only as a proof-of-concept.)
In the first graph, we plot the trends for the terms "woman" and "lady" with the "Publication Country" facet selected to be 'United States':
One could reasonably expect that the relative decline of usage in “lady” over “woman” would have set in earlier in Britain than in the USA. Review the plots above to check if they corroborate this intuition.
Click on the Metrics option in the upper right corner. Change it to Number of Words, Number of Volumes, or Percent of Volumes. What do the resulting plots look like? Can you intuitively explain (in general terms) why the plots look this way?