Athlete Monitoring: Data Analysis and Visualization – Data Wrangling in R – Part 2
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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:
- R for Data Science by Garrett Grolemund and Hadley Wickham
- R for Data Science online FREE
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