Introduction In part 1 of this series, I will demonstrate how to interact with the Fitbit API in R. Huge credit to Matt Kaye for creating the fitbitr package that provides an interface between R and the Fitbit API. If you are familiar with R and you have a Fitbit, you should have success following what I have laid out below. Install the fitbitr package From CRAN: install.packages("fitbitr") Or the development version from github:
Peloton R In part 1 of my Peloton API post, I explored the pelotonR created by Ben Weiher’s. It’s a great package for accessing your Peloton data and I recommend it. In part 2, I’ll explore a different pelotonR package from Laura Ellis. She provides a great tutorial to display the functionality. I recommend this one too! Objectives The objectives for this post are to… Show how awesome my wife is.
Its that time of year! Its that time of year again. The time when we dust off the old ESPN fantasy football API R code and fix everything that broke in the last year. Here’s what I hope to show over the next few posts. How to access your ESPN public fantasy football league’s data. How to organize that data and create a few interesting displays. How to create a dashboard to supplement your league’s fun.
In 2018, my wife and I were fortunate enough to find a deeply discounted Peloton on an online garage sale. Since then, she’s been going hard and I have been trying to keep up when the weather is bad or injuries keep me from running. Jill Smiling After Her 600th Ride (and new record)! Over the last few months, a few works projects have taught me a lot about purrr, functional programming, collaborative projects, and APIs.