Data wrangling is the process of obtaining, cleaning, reshaping, and transforming raw (and messy) data into a useable form of processed (and tidy) data. It is known that a majority of data analysts and data scientists spend as much as 80% of their time on data wrangling. Thus, it is essential to get familiar with good data wrangling tools that help you save time and avoid errors. In this hands-on workshop, you will learn basic skills to import, export, clean, reshape, transform, and visualize data using the well-known data science package called tidyverse.
-
Import and export data
-
Clean, reshape and transform data
-
Make messy data into tidy data
-
Basic knowledge of R and RStudio (e.g., Programming Basics with R - Level 1)
-
Posit Cloud account; if you don't have one yet, please create a new account at https://posit.cloud/
-
Tidyverse package; please make sure that you have installed the tidyverse package in your R environment. See https://www.tidyverse.org for more information.
All CMC Students, Faculty, and Staff