Welcome to the Data Wrangling and Visualization using the Tidyverse Course! The basic structure for this course includes modules and two assignments that supplement each module. The module provides a walkthrough of the topic using heavily annotated code and real examples using ecological datasets (mostly fisheries). The assignments are to practice the code that was provided in the module and apply that code to new datasets. The modules are provided in .Rmd, .html, and recorded formats. The assignments are provided only in .Rmd format so you can code directly into the document. Choose which modules you would like to work through based on your background, but the modules are meant to be used as a whole unit. The goal of these modules is to provide code that builds on one another to help you go from raw data to a visualization that’s nearing ready for publication. While I tried to make the material applicable to a wide range of data formats and subjects and cover a breadth of useful material, the information provided is not exhaustive of R and the Tidyverse’s capabilities. Therefore these materials should be used as a stepping stone for further understanding.
This workshop covers parts of the tidyverse including `dplyr`, '`readr`, `tidyr`, and `ggplot2` packages. We will use various functions to manipulate, clean, and visualize the data, moving from messier or raw data to something that is manageable, summarized, or able to be visualized. The aim of this workshop is to teach participants basic and commonly used tidyverse functions throughout the entire data manipulation process. I recommend using the tidyverse functions over most baseR functions as tidyverse code is more widely used and user friendly as it reads more like text and you can easily add code to continue manipulating your data in `dplyr` or adding graphics in `ggplot2`.
This course was created by me, Dr. Shaley Valentine, with editorial input from Garrett Johnson and Dr. Jim Hood. All materials are available for use for personal and group learning purposes. For any learning distribution of these materials, credit must be provided to me the creator of the modules. These materials are not useable for commercial purposes or for monetary gain.
This google drive folder (https://drive.google.com/drive/folders/1Fy7wWi6c9SS27idx9ERnivR-Cnfw7wmg?usp=sharing) contains the .Rmd, .html, data files, Cheat Sheets, and recordings from a version of this workshop
Video Tutorials:
Introduction to Data Wrangling
Fundamentals of Data Visualization
Introduction to Data Visualization