Lesson04

ISSS608 Visual Analytics and Applications

About

Weekly Session

Assignment

Visual Analytics Project

Course Resources

Interactivity in Visual Analytics: Principles and Methods

Readings

Core readings

• Dynamics for Visual Analysis
• Coordinated Highlighting in Context
• Cartographic Interaction Primitive: Framework and Synthesis
• Brushing

Optional readings

• Enhancing Visual Analysis by Linking Multiple Views of Data
• The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
• The Sunrest Path to Visual Discovery
• Toward a Deeper Understanding of the Role of Interaction in Information Visualization
• Snap-together visualization: can users construct and operate coordinated visualizations?
• Generalized Selection via Interactive Query Relaxation

All About Tableau

• Sorting
• Drill Down and Hierarchies
• Ways to Filter
• Using the Filter Shelf
• Interactive Filters
• Where Tableau Filters
• Additional Filtering Topics
• Parameters
• Parameter Actions
• Basic Tooltips
• Viz in Tooltip
• Dashboard Interactivity Using Actions

Visual Analytics Method(s) of the Week

Scatterplot with marginal Distribution

• Scatter Plots with Marginal Densities – An Example for Doing Exploratory Data Analysis with Tableau and R
• Got a Scatter Plot? Learn How to Add Marginal Histograms
• How to Make Marginal Histograms and Bar Charts in Tableau
• Marginal Histograms — They’re Not Just for Scatterplots

Funnel Plots

• Variation and Its Discontents: Funnel Plots for Fair Comparisons
• What are the chances of successful fertility treatment?
• Three-fold variation in UK bowel cancer death rates(?)
• Using funnel plots in public health surveillance
• Graph Makeover: Where same-sex couples live in the US
• Using maps and funnel plots to explore variation in place of death from cancer within London, 2002–2007