LibGuides: TIM-8501 v5: Lesson 3 Resources

Lesson 3 Resources

Applied Statistics with Data Analytics (R), Zylabs.com

Read 2.4. Bar Charts
Read 2.5. Pie Charts
Read 3.3. Box Plots
Read 3.4. Histograms
Read 3.5. Violin Plots

This reading provides foundational graphs for univariate qualitative data.

Data Science Foundations with R, Zylabs.com

Read Chapter 6. Data Exploration

This chapter provides foundational univariate graphs and reinforces the EDA process.

ACCESS your Zylabs.com material from the Lesson module in your course.

Hands-on Exploratory Data Analysis with R: Become an Expert in Exploratory Data Analysis using R Packages
Datar, R., & Garg, H. (2019). Hands-on exploratory data analysis with R: Become an expert in exploratory data analysis using R packages. O'Reilly Media, Inc.
- Read Chapter 4. Visualizing Data Graphically with ggplot2.
This chapter sets the foundation for building univariate graphs with ggplot2 in R.
R in Action, Third Edition
Kabacoff, Robert (2022). R in Action, Third Edition. O’Reilly Online Learning. https://learning.oreilly.com/library/view/r-in-action/9781617296055/
- Read Chapter 6. Basic Graphs.
Provides step-by-step instructions for building basic graphs in ggplot2 with R.
R Programming for Statistics and Data Science
R Programming for Statistics and Data Science (Media from Packt Publishing available freely through O’Reilly Media Inc.). (2018).
- Watch and Read Chapter 8: Visualizing Data through ‘Building a Box and Whiskers Plot’.
These videos and reading demonstrate univariate visualizations.
NIST/SEMATECH Engineering Statistics Handbook
Smeaton, A. (2003). NIST/SEMATECH Engineering Statistics Handbook. https://www.itl.nist.gov/div898/handbook/
- Read Chapter 1.2.3-1.2.5 Techniques for Testing Assumptions, Interpretation of 4-Plot, Consequences.
These sections discuss testing EDA assumptions via plotting.
R Markdown: The Definitive Guide
Xie, Y., Allaire, J. J., & Grolemund, G. (2018). R markdown: The definitive guide. CRC Press. https://bookdown.org/yihui/rmarkdown/
- Read Chapter 4. Presentations
This reading demonstrates building graphics for professional presentation in R Markdown.

Optional Resources

A Multifactor ANOVA Study for Trainees Performance Measurement Subjected to CADCAM and CAD Courses
Trabelsi, A. C., & Rezgui, M. A. (2010). A multifactor ANOVA study for trainees performance measurement subjected to CADCAM and CAD courses. International Journal of Vocational and Technical Education, 2(3), 41-54.
Provides an example of 4-plot in the literature.