Data Wrangling in R and Julia

Data Wrangling in R and Julia

- Data wrangling, cleaning, & munging.
- Data manipulation in R with the tidyverse package.
- Introduction to Julia as a general-purpose, high-performance, open-source programming language for computational medicine and beyond (optional).
-The ability to add explicit type annotations into code improves human readability and catches errors upfront, both of which are issues in R.
-For example, function f(num::Int)::String defines a function ‘f’ that takes an integer ‘num’ and returns a string.

Instructor: Sean Nesdoly

April 15, 2021
1 PM- 5 PM

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