It’s been a while so I thought I’d check in with an update. Over the last several months I’ve tried to focus my efforts on building visuals that reveal the most relevant and insightful trends in the data I’m collecting (to recap, for me that is outdoor exercise data) – and cut out the fat. It’s been a very gradual, iterative process and I still have a long way to go, in part because my questions and interests continue to change over time.
The latest dashboard can be accessed here: Things I Run Into - Blog Dashboard
For the most part, I’ve tried to organize the information to answer the following questions in this order:
What is the scope of the data? Tell the user what they’re looking at in a nutshell so that the rest of the information has context and boundaries
How am I doing? At the first of this year I started to more carefully track performance data. My basic concern here is knowing where I’m at and if I’m getting better or worse in particular areas
[*]How has the story changed over time? One of the first things that drew me to data visualization was the notion that over time I’d be able to look back over long periods and spot patterns, reflect on experiences, and make improvements.
In the pipeline I’m working on better ways mapping information (what I’m mapping right now admittedly isn’t very insightful) and benchmarking so that I can see how my performance data stacks up against the average Joe and various CDC fitness levels.
As always, I’d love to hear the thoughts and insights of those in the community.