Visualize, Wrangle, Present: Work Effectively with the Tidyverse and RMarkdown

The Tidyverse is an opinionated collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures.

In this workshop, we will introduce you to basic Tidyverse concepts and help you work more effectively with your analyses.

Prerequisites:  Basic familiarity with R is suggested. We highly suggest going through the two RStudio Primers here before the workshop:

https://rstudio.cloud/learn/primers/1

 Part 1: Visualization using ggplot2 and the grammar of graphics
 

ggplot2 is an extremely powerful visualization library. In this session,  we will cover basic plots (barplots, scatterplots, and boxplots) and  the ways to customize these visualizations using color.

Part 2: Summarizing, transforming, and cleaning data using dplyr
 

The tidyverse includes many functions that allow us to quickly group and  summarize data to produce useful tabular summaries of a large dataset.  We will cover useful functions in dplyr for summarizing data and working  with missing values in a data. Our focus will be on utilizing streams  of continuously updated data and ways to productively work with them.

Part 3: Reproducible Reporting with RMarkdown and Friends
 

RMarkdown is an extremely powerful file format that allows you to mix  explanatory text, code, and figures/tables. From a single Rmarkdown file  you can produce webpages, presentations, and even nicely formatted  emails. In this session, we will introduce RMarkdown syntax, how to  output different formats, and resources for shaping and styling your  outputs.