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data-wrangling-intro

A Griffith University Library-developed lesson on data wrangling with OpenRefine for Humanities and Social Sciences.

It covers the use of OpenRefine open source software for cleaning up datasets that contain messy, missing or inconsistent data.

This lesson has been freely adapted from the Library Carpentry lesson on OpenRefine and has been informed by learner feedback.

This is a step-by-step teaching script for those who would like to be able to offer this lesson to learners.

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