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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:

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:

As our global pandemic continues, 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