SAGE Research Methods Video: Data Science, Big Data Analytics, and Digital Methods

Name: Module 2: Getting Data Ready
Uploaded: 2019-03-26
Duration: 15 min 8 s
Description: Martin John Hadley, Data Visualization Specialist at University of Oxford, discusses preparing data for interactive visualization using R's Tidyverse package, including creating a reproducible workflow, shortening column names, removing oddities with the appropriate "dplyr" verb, and saving both the raw data and the clean data files.

Transcript

Video Type: Tutorial

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  Hadley, M. J. (Academic). (2017). Module 2: getting data ready [Video]. SAGE Research Methods. https://dx.doi.org/10.4135/9781526475138
  
  Hadley, Martin J. "Module 2: Getting Data Ready." In SAGE Video. London: SAGE Publications Ltd, 2017. Video, 00:15:08. https://dx.doi.org/10.4135/9781526475138.
  
  Hadley, M. J., 2017. Module 2: Getting Data Ready, SAGE Video. [Streaming Video] London: SAGE Publications Ltd. Available at: <https://dx.doi.org/10.4135/9781526475138 & gt; [Accessed 18 Aug 2022].
  
  Hadley, Martin J. Module 2: Getting Data Ready. Online video clip. SAGE Video. London: SAGE Publications, Ltd., 26 Mar 2019. doi: https://dx.doi.org/10.4135/9781526475138. 18 Aug 2022.
  
  Module 2: Getting Data Ready [Streaming video]. 2017. doi:10.4135/9781526475138. Accessed 08/18/2022
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Summary

Summary

Martin John Hadley, Data Visualization Specialist at University of Oxford, discusses preparing data for interactive visualization using R's Tidyverse package, including creating a reproducible workflow, shortening column names, removing oddities with the appropriate "dplyr" verb, and saving both the raw data and the clean data files.