The Australian Catholic University recently held a High Performance Sport Summer Seminar which was attended by Jordan Cassidy who agreed to provide a write up of the seminar for the blog. The write up will be split into two parts with this article focusing on the data analytics side and the second article is on … Continue reading [GUEST BLOG] ACU High Performance Sport Summer Seminar 2019: Data Analytics (By Jordan Cassidy)
Introducing facets to our plots
First look at how to create visuals in R
General thoughts on issues surrounding data in sport
Adding rolling average data to our raw data analysis
Building in the previous post, here we cover analysing multiple files together.
Basic manipulation of 10Htz GPS data to produce a minute by minute breakdown of a session.
How to merge data-sets and filter GPS data to begin looking at Velocity data
Basics around formatting and filtering data in R
Previously we arranged our data to look at the max velocity reached over the last 12 days. This may give us an indication of maximum velocity reached recently but we also need an indication of how many exposures at or near max velocity an athlete has had. There is likely to be a quicker way … Continue reading Using PowerPivot To Analyse Velocity Data: 2