Athlete Monitoring: Data Analysis and Visualization – Data Wrangling in R – Part 2

Athlete Monitoring: Data Analysis and Visualization

Data Wrangling in R – Part 2

In this video I am continuing the data wrangling in R using tidyverse (actually the dplyr) package. With few basic functions (i.e.,group_by(), mutate(), summarize(), filter(), select()), you can pretty much do 80% of data wrangling for the athlete monitoring purposes. For more informations, please refer to R for Data Science book.

In addition to the above, I will show you how to simply merge two tables using the left_join() function. This can be extremely useful when merging data, like HR and GPS into a single table.

There are other packages in R, like data.table, that are worth checking out. But in this course, I will focus on the tidyverse.

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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