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Garmin + Data + R = Combining Hobbies

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  I'm considering trying to go for the Fastest Known Time at a 60 mile route in South Florida near me. Here is a link to the route I've been looking at. The idea is simple: no official race course, no guides, water stations, aid stations, race fees or any structure - just go run as fast as you can! The current FKT is just under 10 hours...so we'll see. From the site:  " A near perfect 100 kilometer loop along an Everglades boundary levee in South Florida...Big challenges due to heat, humidity, sun exposure, and effectively no access to drinkable water. Gator sightings are near guaranteed." I've decided to keep a closer eye on my eye running data to make sure I'm training effectively to run the 60 miles and to identify any potential health concerns before they become serious. Fortunately, by wearing a Garmin watch during all of my training, this data is cleaned and aggregated already - with a significant amount of interesting data points (cadence, distance...
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Homeruns Are King

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Summary It’s a Tuesday night, the Cubs game is postponed, and I should either be working or doing homework. Instead, here I am exploring homeruns in baseball because it is way more fun. I’d argue that aside from seeing something historical (no hitter/perfect game), most fans want to see home runs when they go to games. In this analysis, I perform some data cleanup to calculate raw numbers from the %’s that fangraphs provides and shift around some data to build a predictive model to predict homerun totals. The inputs to this model will be the players previous season statistics. Homeruns are becoming increasingly important in baseball, and if you read my analysis on walks, you’d remember that they are being hit at an alarming rate. Teams are building their teams around power hitters, but want to be fiscally conscious. So if a team can identify a future homerun hero and save some cash, it’s a major win. Data Support To begin, let’s take a look at the league leader and league aver...
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Visualize and Understand Your Golf Game

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Every golfer wants to shoot a better score. Every golfer also thinks they know what they're bad at or need to improve. What if you could challenge those assumptions? Instead of saying "I always slice the ball and miss the fairway right" - you should be saying I miss the fairway right 27% of the time, hit the fairway 40% of the time and miss the fairway left 33% of the time. This data is more actionable. Instead of focusing on "missed fairways", now you are focusing on why you miss left 33% of the time. Instead of saying "I'm not any good at putting" - you should be saying I 3 putt 10% of the time, 2 putt 60% of the time and 1 putt 30% of the time. Now instead of generally being bad at putting, you know that in order to get better at golf, the first focus is on the 10% of holes you 3 putt on. This data can be measured and tracked over time, so you know if you are getting better. Once this is in a comfortable range, you can focus on decreasing ...
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