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Data cleaning using OpenRefine

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dc.contributor.authorMagle, C. Tobin, speaker
dc.date.accessioned2019-05-07T13:47:49Z
dc.date.available2019-05-07T13:47:49Z
dc.date.issued2018-02-13
dc.descriptionMultiple sessions held on: 11/9/16, 3/28/17, 2/13/18.
dc.description.abstractThe process of generating data can be messy, especially when data are hand collected by multiple people. This month's Data and Donuts will discuss how to wrangle messy tabular data using OpenRefine (https://openrefine.org/), a free, open source tool for working with messy data. We will discuss the concepts of faceting, clustering, and splitting data. We will also show you how to export scripts to help you automate the cleaning process.
dc.format.extent31 minutes 21 seconds
dc.format.mediumborn digital
dc.format.mediummotion pictures (visual works)
dc.format.mediumdigital moving image formats
dc.format.mediuminstructional materials
dc.identifier.urihttps://hdl.handle.net/10217/194889
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofTraining and Instruction
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.rights.licenseThis article is open access and distributed under the terms and conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0).
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectdata management
dc.subjectdata education
dc.subjectData editing
dc.subjectData curation
dc.titleData cleaning using OpenRefine
dc.title.alternativeData and donuts
dc.typeMovingImage

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