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:

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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 »

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