Research Guides: Data Services Class Descriptions: Creating Graphics in R

This session covers creation of charts with base R functions and using the popular ggplot2 package.

Software:	Computer workstations with R and RStudio installed are available for in-person tutorials in Bobst 617. For remote tutorials, while some patrons decide to approach tutorials as a demonstration of the software, other patrons approach tutorials with a more “hands-on” approach and wish to interact with the software during the tutorial. If the latter is the case, we recommend referencing our supported software page for additional information on accessing the software prior to the tutorial.
Duration:	90 min
Room description:	Some tutorials are held remotely and require NYU sign on to access, while others are held in person, without a remote component. Please note the correct modality and location of the tutorial when registering
Prerequisites:	Basic computer literacy, understanding files and folders Knowledge of files and folders on Mac OS Familiarity with RStudio interface Understanding of functions and R documentation
Skills Taught / Learning Outcomes:	Base plot function Graphs for quantitative data (boxplots, scatterplots, bar graphs, histograms etc...) Changing graph elements: titles, point size, colors Extensive use of ggplot2
Class Materials:	app.R Syntax.html Syntax.Rmd
Related Classes:	Data Visualization with Tableau Data Cleaning Using OpenRefine Introduction to Research Data Management Introduction to Python Reproducible Workflows in R
Additional Training Materials:	guides.nyu.edu/r
Feedback:	bit.ly/feedbackds

Data Services Class Descriptions