Data wrangling using dplyr
Date
probably 2015
Authors
Magle, C. Tobin, speaker
Journal Title
Journal ISSN
Volume Title
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.
Data carpentry lesson: https://datacarpentry.org/R-ecology-lesson/03-dplyr.html.
Data carpentry lesson: https://datacarpentry.org/R-ecology-lesson/03-dplyr.html.
Description
Includes transcript of individual slides and cheatsheet poster.
Accessibility features: Transcript.
Accessibility features: Transcript.
Rights Access
Subject
data management
Data editing
data education
Programming languages (Electronic computers)