Chapter 3: Making Sense of Data through Visualization

Learning Objectives

•Use the fundamental ideas of the grammar of graphics to evaluate options for the construction of data visualizations.

•Employ techniques for visualizing a single quantitative variable, a single categorical variable, two variables, and three or more variables through various plots.

•Identify common pitfalls and dangers associated with visual misrepresentation in data visualization.

•Incorporate established guidelines to produce compelling and honest data visualizations.

Google Drive For Chapter 3 Review Questions

Google Drive For Chapter 3 "Try It Yourself" Python Notebooks

Google Drive For Chapter 3 Data Sets

Section 3.1: The Grammar of Graphics

Section 3.2: Visualizations with One Quantitative Variable

Try It Yourself: Interpret a Histogram

Try It Yourself: Describe a Density Plot

Try It Yourself: Work with a Box Plot

Try It Yourself: Interpret a Violin Plot

Section 3.3: Visualizations with One Categorical Variable

Try It Yourself: Ponder a Word Cloud

Section 3.4: Visualizations with Two Variables

Try It Yourself: Interpret a Column Chart

Try It Yourself: Navigate a Treemap

Try It Yourself: Contemplate a Box Plot with a Categorical Variable

Try It Yourself: Interpret a Violin Plot with a Categorical Variable

Try It Yourself: Interpret a Scatterplot

Try It Yourself: Explore a Line Chart

Section 3.5: Visualizations with Three or More Variables

Try It Yourself: Describe a Bubble Chart

Try It Yourself: Interpret a Heatmap

Try It Yourself: Interpret a Geographic Map

Section 3.6: The Dangers of Visual Misrepresentation

Try It Yourself: Navigate the Dangers of Cherry-Picking

Section 3.7: Data Visualization Guidelines