Good analysis! This is the kind of data that I find fascinating. A dashboard is a great idea but even updates about these figures would be helpful. Hivewatchers keeps an eye out for SPAM, but I have spent a lot of time wondering how we can examine and verify some of the content that has already been created. The first 6 days are key for upvotes, but most upvotes are usually made within the first hour of being created.

For some more stat suggestions;

• how many comments are posts that are !PIZZA calls? (good stats, user engagement)
• how many stories/comments have NOT been upvoted on? (separate spam/possible treasure)
• how many users have posted/commented within the last hour?

I honestly have a lot more ideas.
I see other good suggestions in the other comments as well.

https://hiveuprss.github.io/hiveisbeautiful/