Persnickety Python: Cleaning Text Data
Persnickety Python: Cleaning Text Data In-Person
Are you working on a project that combines numerical and categorical data? Are you trying to merge datasets that share a common variable, but which have different naming conventions? Do you need to import a dataset that has errors in its formatting? Are inconsistent survey responses for your research project causing you grief?
Join us for a hands-on workshop that covers techniques that make working with text data less of a headache!
Please note: this workshop assumes a familiarity with the basics of the Python language; if you have not already used Python, please see the Library's Introduction to Python Research Guide (linked as a "Related LibGuide" below).
Please be sure to reserve your spot by clicking the blue "Begin Registration" button below.
Related LibGuide: Introduction to Python by David Merten-Jones
- Date:
- Tuesday, April 1, 2025
- Time:
- 1:30pm - 3:30pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Location:
- Yarrow (formerly Mudd 2 North)
- Audience:
- Faculty/Staff Graduate Students Open to the Public Undergraduate Students
- Categories:
- Data and Digital Scholarship