|I love data visualization|
Today’s run (street): 4.2 miles
The sky is as white as paper and the temperature is dropping. We’re supposed to get two inches of ice and snow by late afternoon. Nothing so far, but I can tell it’s coming. For that reason, I made sure I got outside early to get in a few recovery miles before conditions got worse.
I had no intention of running as hard as yesterday and had to throttle my speed a couple of times. A recovery run is supposed to be done well under anaerobic threshold to help flush lactic acid from leg muscles. I used my heart rate monitor to guide my pace, averaging 75% of HR max throughout the run. It was a nice relaxing workout, although my (gloved) hands got surprisingly cold.
|No actual yards or living rooms were entered|
I’ve written a lot about the variability of GPS as a measurement tool and today’s margin of error was particularly egregious. Not only did the Garmin show me starting the run three blocks from my actual beginning point, the accuracy was laughably bad throughout the entire route. The Garmin route map (see above) makes it look like I ran through many people’s yards and houses.
|Distribution of pace times through the year|
Reflecting back on 2013’s racing season, I charted my race paces to see if there were any obvious patterns. The data doesn’t show any trends that would explain my performance, as times were all over the map. I’m hoping that next year will yield faster times and more consistency. At least I finished the season in a good place.