Lesson05

ISSS608 Visual Analytics and Applications

About

Weekly Session

Assignment

Visual Analytics Project

Course Resources

Readings

Core Readings

• Visualizing Survey Data
• Mosaic Plots
• Design of Diverging Stacked Bar Charts for Likert Scales and Other Applications
• Turning a Table into a Tree: Growing Parallel Sets into a Purposeful Project

Optional Readings

• Visualizing Survey Data from Data Revolution
• Do not use averages with Likert scale data
• Visualizing Contingency Tables
• Multivariate Categorical Data-Mosaic Plots
• Understanding Area Based Plots: Mosaic Plots
• Mosaic Plots and Their Variants
• Social Factors That Influence Use of ICT in Agricultural Extension in Southern Africa
• Visualizing Defect Percentages with Parallel Sets
• Parallel Sets vs. Mosaic Plots (Take I)
• Discovery Exhibition: Parallel Sets

R Methods

Diverging Stacked Bar Charts

• • Ternary, which employs the native plot functions;
  • Plotly, which uses a bespoke suite of plotting functions;
  • vcd, which contains the function ternaryplot;
  • ggtern, an extension to ggplot2.

Mosaic plot

• mosaicplot function of R Graphics
• ggmosaic package
  • ggmosaic: Mosaic Plots in the 'ggplot2' Framework
  • Mosaic plots with ggplot2
• vcd: Visualizing Categorical Data
  • The Strucplot Framework: Visualizing Multi-way Contingency Tables with vcd
• vcdExtra: 'vcd' Extensions and Additions
  • Tutorial: Working with categorical data with R and the vcd package