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Getting Started with R for Text Data Analysis Online
R is an open-source and flexible programming language that can be used for all kinds of data analysis, data visualization, text mining, and even document creation. For anyone interested in using R for qualitative or liberal arts research, this workshop will show you how to get started in R with absolutely no coding experience necessary. Because R requires installing (totally free) software, please plan to attend this workshop with the computer you intend to use R on going forward. If you do not have administrator privileges to install software on your computer, please ask your administrator to install the latest version of R and RStudio prior to the workshop.
In this workshop, you will:
- Install R and RStudio on your computer
- Get to know the RStudio interface
- Try basic coding
- Learn how packages work in R and how to install them
- Install packages from the Tidyverse suite of packages for data analysis
- Produce a simple data visualization using sample code
- Get started with the Stringr package for text analysis
- Leave with recommended resources for continued learning on your own
Related LibGuide: Qualitative Data Analysis by Social Sciences, Health, and Education Library
- Date:
- Monday, October 30, 2023
- Time:
- 2:00pm - 3:30pm
- Time Zone:
- Central Time - US & Canada (change)
- Presenter:
- Jess Hagman, Social Sciences Research Librarian, and Sandi Caldrone, Research Data Service Librarian
- CampusLibraries:
- Main Library
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- All are welcome
- Categories:
- Data Collection and Analysis
THIS SESSION WILL BE TAUGHT ON ZOOM (YOUR REGISTRATION + REMINDER EMAILS WILL INCLUDE THE LINK).
- In order to attend online workshops, you will need a NetID assigned to you from UIUC and you will need to login to your Zoom account to "activate" it.
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NOTE: Registration closes two hours before each scheduled workshop and you will receive a registration + reminder email (one hour before the session is scheduled to start) with the Zoom link and passcode. Make sure to check your spam/trash!
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