Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes
This session covers creation of charts with base R functions and using the popular ggplot2 package.
Software: R, RStudio
Duration: 90 min

Room description:

During the Fall 2021 semester, 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:
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

 

Upcoming sessions for this tutorial