tfcb_2020

Lecture 13: Working with data using tidyverse

Much of the time biologists spend while performing data analysis involves manipulating, reformatting, and transforming data. In this lecture, we’ll use tidyverse functions from the dplyr package to perform these “data munging” tasks. We’ll cover a few of the functions available for these tasks and learn a common programming structure (piping), which will equip you to continue developing powerful data manipulation code that will be foundational for visualization and statistical analysis.

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