Data Visualization
1
Workshop Preparation
2
Understanding the Purposes of Data visualization
2.1
Explore versus Explain
2.2
Exploratory Data visualization
2.3
Explanatory Data visualization
2.4
Degrees of Separation
3
Design Basics
3.1
Gestalt Principles
3.2
Slow forms of visual perception
3.3
Color
4
Data Basics
4.1
Variable Classes
4.2
Data Classes
4.3
Descriptive Statistics for Continuous Variables
4.3.1
Measurements for the location of a data set:
4.3.2
Measurements for spread:
4.4
Inferential statistics for the spread of a data set:
4.4.1
Summary of Types of Plots
4.4.2
Minimum Components of a Plot
4.4.3
Regression Lines
5
Using Design to Communicate
5.1
Small Multiples
5.2
Data-Ink Ratio
5.3
Aspect Ratio
5.4
Elements for Encoding Continuous Variables
5.5
Elements for Encoding Categorical Variables
5.6
The Case Against Pie Charts and Heat maps
5.6.1
Type 1: Different observations, same variables
5.6.2
Type 2: Same observations, Different variables
5.7
Case Study: Sugar Concentrations in Peppermint
5.7.1
The final plot
Rick Scavetta
Data Visualization
Data Visualization
Rick Scavetta
Chapter 1
Workshop Preparation