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ANA600 v1

Module 1 Required Resources

Textbook

This book will teach how to import, transform, and visualize data and communicate results using R. 

  • Introduction – R for Data Science (2e) This section will cover the installation of R and RStudio, as well as installation of the extension packages that will be used in this course. 

  • 1  Data visualization – R for Data Science (2e) This section explains how to create data visualizations and how different visualizations may apply to different variable types. 

  • 2  Workflow: basics – R for Data Science (2e) This section will show the basics of how R code works for loading objects and calling functions. 

  • 6 Workflow: Scripts & Projects This section provides greater depth into the use of R scripts and design of project folders. 

  • 7  Data import – R for Data Science (2e) This section will explain how to import structured data from various file types, such as comma-delimited files. 

Module 1 Optional Resources

From these sections, you will learn to compute descriptive statistics, which represent a summarization of obtained data variables. 

  • Measures of Central Tendency (pp. 114 – 122) 

  • Measures of Variability (pp. 115 – 131) 

  • Skew and Kurtosis (pp. 131 – 133)