linusN - your question is an excellent one. Explaining the graphs at a superficial level is one thing, but using the data for something useful is going to take some more insight. Right now I'm definitely in the "see what's there" phase - hope you or others may have ideas too.
Some initial thoughts
1 Trends of step rate and contact time seem logical- faster pace (smaller min/mile) = more steps/min, less contact time and longer stride
What can this be used for? On it's own perhaps not much (useful for comparing different runners?). But perhaps you can compare yourself at different times during a training plan and see e.g. if your attempts to increase your step rate (at a given min/mile) are paying off. Your average step rate might be increasing over time, but that could just be because your average min/mile was reducing.
2 It's also clear that impact Gs varies very widely compared to braking Gs - you see a similar effect of a wide range of impact values if you plot against time (see below for same run - x-axis is time in seconds). Therefore, not sure how this can be usefully used. Perhaps there is some trend of the average with age of shoe - but that can probably be seen in the regular Dashboard data. If nothing else it's good to see the raw data and not just look at smoothed averages all the time. Smoothed lines can make you think that a smooth transition is occurring, when the reality is more complex,
Any other thoughts appreciated. Manually processing the data once it's exported as a CSV is a bit of a chore and so hope that if/when we see some useful ways of looking at the data they will be added to the Dashboard.