Love Your Data: Cleaning Messy Data with OpenRefine
Love Your Data: Cleaning Messy Data with OpenRefine Online
Real world data can be messy, but clean, consistent data is critical for analysis and visualization. Data transformation can be complex and time-consuming, but luckily tools exist to make this process quicker and more reproducible!
In this hands-on session, you will learn the basics of batch cleaning messy data with OpenRefine, an open-source tool designed to efficiently clean and transform data with no programming required! Please download and install OpenRefine before the workshop.
This event will be held virtually via zoom at https://rochester.zoom.us/j/91691165684. Please register to recieve a reminder email and workshop materials. If you require any accommodations to fully participate in this event, please contact Sarah Pugachev at s.pugachev@rochester.edu.
- Date:
- Tuesday, February 22, 2022
- Time:
- 11:00am - 12:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- Graduate students or Postdocs Undergraduate students
- Categories:
- Workshop
Reproducibility Librarian