Data wrangling using dplyr

Magle, C. Tobin, speaker

Data wrangling using dplyr

dc.contributor.author	Magle, C. Tobin, speaker
dc.date	probably 2015
dc.date.accessioned	2019-05-07T13:36:33Z
dc.date.available	2019-05-07T13:36:33Z
dc.date.issued	2015
dc.description	Includes transcript of individual slides and cheatsheet poster.
dc.description	Accessibility features: Transcript.
dc.description.abstract	What you can do with your data depends strongly on how its formatted. This month's coding and cookies will cover how to manipulate datasets using an R package called dplyr. After this session, you will be able to subset, reformat and summarize your data. A basic working knowledge of R and R studio would be helpful for you to get the most out of this session.
dc.description.abstract	Data carpentry lesson: https://datacarpentry.org/R-ecology-lesson/03-dplyr.html.
dc.format.extent	45 minutes 12 seconds
dc.format.medium	born digital
dc.format.medium	motion pictures (visual works)
dc.format.medium	digital moving image formats
dc.format.medium	instructional materials
dc.format.medium	transcripts
dc.identifier.uri	https://hdl.handle.net/10217/194878
dc.language	English
dc.language.iso	eng
dc.publisher	Colorado State University. Libraries
dc.relation.ispartof	Training and Instruction
dc.rights	Copyright 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.license	This 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.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	data management
dc.subject	data education
dc.subject.lcsh	Data editing
dc.subject.lcsh	Programming languages (Electronic computers)
dc.title	Data wrangling using dplyr
dc.title.alternative	Data and donuts
dc.type	MovingImage
dc.type	Text