Love Data: Cleaning Messy Data with OpenRefine
Love 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 led by Data Librarian Heather Owen and Reproducibility Librarian Sarah Siddiqui, 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. Please register to receive the link and workshop materials. If you require any accommodations to fully participate in this event, please contact Sarah Siddiqui at ssiddiqui@library.rochester.edu.
This event is part of Love Data Month 2024. Please visit our webpage to learn more about our other events.
Related LibGuide: Love Data 2024 by Heather Owen
- Date:
- Wednesday, February 21, 2024
- Time:
- 1:00pm - 2:15pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Library:
- Carlson
- Online:
- This is an online event. Event URL will be sent via registration email.
- Categories:
- Love Data Month Workshop
Data Librarian
Reproducibility Librarian