Athlete Monitoring: Data Analysis and Visualization – Data Wrangling in R – Part 1

Athlete Monitoring: Data Analysis and Visualization

Data Wrangling in R – Part 1

In this video we are beginning to do some data wrangling in R. I am explaining how to convert wide format to long format using pivot_longer() and vice versa using pivot_wider(). These data wrangling techniques are very important, but very hard to do in Excel (although possible in PowerQuery and now PowerBI).

Besides these wrangling techniques, I am introducing the %>% operator (read pipe) which allows step-wise operations on the data to be more more readable and without the need for the intermediate variables.

For more information on data wrangling using tidyverse, check:

Athlete Monitoring Course

Ready to watch this course?
Take advantage of our promotional offer

Learn How to Analyse All Your Training,
Performance and Testing Data

Take this CoursePromo Discount: 25% OFF

OR

Go Annual and Get All Bonuses for FREE!

Join Us TodayAnd Instantly Save $1705

Premium Membership
$350 per year

Course Navigation

Description

Module 1

Module 2

Module 3:

Module 4

Appendix

I am a physical preparation coach from Belgrade, Serbia, grew up in Pula, Croatia (which I consider my home town). I was involved in physical preparation of professional, amateur and recreational athletes of various ages in sports such as basketball, soccer, volleyball, martial arts and tennis. Read More »
free-memeber-button
free-memeber-button

Welcome to Complementary Training Community! Forums Athlete Monitoring: Data Analysis and Visualization – Data Wrangling in R – Part 1

Tagged: 

This topic contains 0 replies, has 1 voice, and was last updated by  Mladen Jovanovic 5 months ago.

You must be logged in to reply to this topic.