Support per user statistics #10
Description
Even though the leaderboard should only be maintained on a per room basis there should be aggregate statistics which are computed per user holistically
For instance, identify the users strengths and perhaps create word density maps of questions which were properly guessed. See what subjects the user is particularly strong in.
Also is the need to depict how the user grows in the process, how the user improves over time. For instance, the metric for depth of knowledge is how early someone tends to buzz, and the number of rights versus wrong. This could be visualized as a time series and can show how the user has improved and importantly, that the user has, in large part due to the existence of this app.
This also plays a part into the education aspect, and the more metrics means the more leaderboards are possible and as such the more competition can exist.