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dc.contributor.authorKopra, Juho
dc.contributor.authorTikka, Santtu
dc.contributor.authorHeinäniemi, Merja
dc.contributor.authorLópez-Pernas, Sonsoles
dc.contributor.authorSaqr, Mohammed
dc.contributor.editorSaqr, Mohammed
dc.contributor.editorLópez-Pernas, Sonsoles
dc.date.accessioned2024-07-04T08:42:55Z
dc.date.available2024-07-04T08:42:55Z
dc.date.issued2024
dc.identifier.citationKopra, J., Tikka, S., Heinäniemi, M., López-Pernas, S., & Saqr, M. (2024). An R Approach to Data Cleaning and Wrangling for Education Research. In M. Saqr, & S. López-Pernas (Eds.), <i>Learning Analytics Methods and Tutorials : A Practical Guide Using R</i> (pp. 95-119). Springer. <a href="https://doi.org/10.1007/978-3-031-54464-4_4" target="_blank">https://doi.org/10.1007/978-3-031-54464-4_4</a>
dc.identifier.otherCONVID_220899471
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/96304
dc.description.abstractData wrangling, also known as data cleaning and preprocessing, is a critical step in the data analysis process, particularly in the context of learning analytics. This chapter provides an introduction to data wrangling using R and covers topics such as data importing, cleaning, manipulation, and reshaping with a focus on tidy data. Specifically, readers will learn how to read data from different file formats (e.g. CSV, Excel), how to manipulate data using the dplyr package, and how to reshape data using the tidyr package. Additionally, the chapter covers techniques for combining multiple data sources. By the end of the chapter, readers should have a solid understanding of how to perform data wrangling tasks in R.en
dc.format.extent736
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofLearning Analytics Methods and Tutorials : A Practical Guide Using R
dc.rightsCC BY 4.0
dc.subject.otherdata wrangling
dc.subject.otherdata cleaning
dc.subject.othertidyverse
dc.subject.otherR programming
dc.subject.otherlearning analytics
dc.titleAn R Approach to Data Cleaning and Wrangling for Education Research
dc.typebookPart
dc.identifier.urnURN:NBN:fi:jyu-202407045132
dc.contributor.laitosMatematiikan ja tilastotieteen laitosfi
dc.contributor.laitosDepartment of Mathematics and Statisticsen
dc.type.urihttp://purl.org/eprint/type/BookItem
dc.relation.isbn978-3-031-54463-7
dc.type.coarhttp://purl.org/coar/resource_type/c_3248
dc.description.reviewstatuspeerReviewed
dc.format.pagerange95-119
dc.type.versionpublishedVersion
dc.rights.copyright© 2024 The Author(s)
dc.rights.accesslevelopenAccessfi
dc.subject.ysooppiminen
dc.subject.ysoohjelmointi
dc.subject.ysotietojenkäsittely
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p2945
jyx.subject.urihttp://www.yso.fi/onto/yso/p4887
jyx.subject.urihttp://www.yso.fi/onto/yso/p2407
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/978-3-031-54464-4_4
dc.type.okmA3


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