Data Wrangling and Management in R
This tutorial explores how scholars can organize 'tidy' data, understand R packages to manipulate data, and conduct basic data analysis. By the end of this lesson, you will: 1. Know how to organize data to be “tidy” and why this is important. 2. Understand the dplyr package and...
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Format: | Article |
Language: | English |
Published: |
Editorial Board of the Programming Historian
2017-07-01
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Series: | The Programming Historian |
Online Access: | https://programminghistorian.org/lessons/data_wrangling_and_management_in_R |