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Intro to OpenRefine for Data Cleaning

February 9 @ 11:00 am - 11:50 am

  • « Machine Learning for Atomic-Scale Materials Modeling and Simulation
  • Frontiers in Computational Biosciences Seminar Series: Victoria Yao, PhD, Assistant Professor, Department of Computer Science, Rice University »

‘Learn how to clean, standardize, and transform messy data using OpenRefine, a powerful open source tool for working with large or inconsistent datasets. This hands on session will introduce key features such as faceting, clustering, data transformation, and enrichment. OpenRefine runs locally in your web browser and works especially well with CSV and TSV files.

What You’ll Learn

  • How to explore and assess a dataset
  • Techniques for identifying and resolving inconsistencies
  • Ways to split, transform, and standardize data

Prerequisites

  • Install OpenRefine before the workshop
  • Basic familiarity with Excel or Google Sheets

Who Should Attend

Researchers, students, librarians, and anyone who works with structured data and wants faster, more reliable cleanup workflows.

Speaker(s): Megan Van Noord’

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Details

Date:
February 9
Time:
11:00 am - 11:50 am
Workshop Categories:
Live, Training workshop / Tutorial
  • Workshop Tags:data cleaning excel OpenRefine uc love data 2026
  • Website:
    https://uc-love-data-week.github.io/#open-refine
    • « Machine Learning for Atomic-Scale Materials Modeling and Simulation
    • Frontiers in Computational Biosciences Seminar Series: Victoria Yao, PhD, Assistant Professor, Department of Computer Science, Rice University »

    Organized by

    Early Career Researchers (ECR) (4)Office of Advanced Research Computing (16)UCLA Health IT (2)QCBio (4)UCLA Library (6)QCB Collaboratory (7)

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