Lesson 3: Interactivity in Visual Analytics: Principles and Methods

Content

• Different types of interaction techniquee
• The role of Interaction in visual analytics
• The concept of linked multiple views
• Interactive analytics best practices

Lesson Slides and Hands-on Notes

• Lesson slides in html and pdf formats

• Handout of Hands-on Exercise 3 in html and pdf formats.

Readings

Core readings

• Dynamics for Visual Analysis
• Animated Transitions in Statistical Data Graphics, IEEE Transactions on Visualization and Computer Graphics, Vol. 13, No. 6, 1240-1247 and the video
• Coordinated Highlighting in Context
• Cartographic Interaction Primitive: Framework and Synthesis

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
• Brushing

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
• Create data that moves you with viz animations
• The benefits of animating your data visualisations
• Tableau in Motion: Tableau’s New Native Viz Animations
• How to use Animations in Tableau 2020.1

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