Introduction to R for Libraries, Part 3

Wednesday, 5/30/2018
  • 2:00 PM-3:00 PM (Eastern)
  • 1:00 PM-2:00 PM (Central)
  • 12:00 PM-1:00 PM (Mountain)
  • 11:00 AM-12:00 PM (Pacific)

This session was presented on May 30, 2018. Access the recording and material now:

This is part 3 of a 3-part series. View Part 1 and Part 2 of the series.

Libraries now have access to an abundance of data reflecting multiple facets of our collections, users, and services. Examples include collections data pulled from the ILS, ebook and database usage data, university enrollment data, and local user demographic data. This data is often large, untidy, and difficult to work with in traditional spreadsheet software.
 
"R" is a free and open source programming language used for data manipulation, analysis, and visualization. It is more powerful and flexible than spreadsheet software and can run complex operations in a fraction of the time. This webinar will provide a soft introduction to working with data using R in the R Studio software environment. Participants will learn how to use R Studio, read in and explore datasets, understand error messages, execute some simple manipulations such as subsetting and renaming, and create a basic visualization.
 
The third session will go deeper into data exploration and manipulation, including subsetting data, creating and renaming variables, creating a basic visualization, installing packages, and a brief overview of more complex operations one can run in R.

Learning Outcomes

Throughout the series, participants will learn:
  • What R does and how to navigate the R environment. This will include the basics of R syntax, understanding the purposes of different panes in R Studio, and understanding error messages and getting help. 
  • How to read in a dataset and conduct some basic explorations of it. They will run a very simple subsetting operation, and create a simple barplot. It will include a training dataset of ebook usage with some randomly generated usage statistics in order to help contextualize and reinforce the advantages of using R.

Who Should Attend

Those who work with data as a central part of their job. This would likely include serials librarians, cataloging librarians, archivists, and collection development librarians.

Presenter

Clarke Iakovakis is the Scholarly Communications Librarian at the University of Houston-Clear Lake. He has worked in both academic and public libraries since 2007 as a page, library assistant, and research & instruction librarian. He has presented at ACRL and ALA on topics pertaining to usability and incorporating data into assessment. He is currently achieving his master's degree in history, and he does not come from a computing or technical background. 

Registration

Cost

A recording of this webinar is now available since the six month date of the presentation has passed.

How to Register

No registration required.

Tech Requirements

Computer with Internet access (high-speed connection is best) and media player software. Headphones recommended.

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Test your connection or audio.

Credits

None

Contact

For all other questions or comments related to the webinars, contact Megan Dougherty, ALCTS Program Officer, Continuing Education at 1-800-545-2433, ext. 5038 or mdougherty@ala.org.