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Library Carpentry: Introduction to Working with Data (Regular Expressions)

By Alexander Mendes, Alex Volkov, Angus Taggart, Belinda Weaver, BertrandCaron, Bianca Peterson, Christopher Edsall, Christopher Erdmann, Chuck McAndrew, Dan Michael Heggø, Dan Michael O. Heggø, Elizabeth Lisa McAulay, fdsayre, Felix Hemme, François Michonneau, James Baker, Janice Chan, Jeffrey Oliver, Jeremy Guillette, Jodi Schneider, Jonah Duckles, Katherine Koziar, Katrin Leinweber, Kunal Marwaha, lsult, Paul R. Pival, PH03N1X007, remerjohnson, Saskia Scheltjens, Shari Laster, Tim Dennis, yvonnemery.
Analysis Data Education Librarians Open Scholarship Tools and Technologies Reproducibility Research Data Management Tools

Abstract

This Library Carpentry lesson introduces librarians and others to working with data. This Library Carpentry lesson introduces people with library- and information-related roles to working with data using regular expressions. The lesson provides background on the regular expression language and how it can be used to match and extract text and to clean data.

Link to resource: https://librarycarpentry.org/lc-data-intro/

Type of resources: Module

Education level(s): Graduate / Professional

Primary user(s): student, teacher

Subject area(s): Applied Science, Information Science, Measurement and Data

Language(s): English

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