Created a tab-delimited file of the records I've been using for my frequency visualization. Each of those has a unique id in the first field, so of course no trends could be presented by the software, but I could get a snapshot of the distribution of trials on the selected variables at each year.
Then decided to focus on crimes, so created a table with 1 of the 8 types of crimes in the first field of each record, then repeat for the ten years in the sample set. Then I had to aggregate the number of e.g. murders in 1790, and then work out the percentage of that number which had male for the suspect's gender, L for the jury code, age<20, age21-40, age40+ etc.
So, you can no longer get at each individual trial, but only at the group of trial which match the up to 4 attributes (2 axes, colour, size of ball) that you can filter by. That may be 1 or it may be more than 1 in a given year. On the other hand, you can now see trends e.g. for each crime, what the gender breakdown is for each year over time and how that's trending.
I'm not sure if the kind of aggregating required to get the trends will make the data useless or not yet.