It is one curricular unit of the set of specialisation units offered to the students of 4th or 5th year of MIEI . Interactive Data Visualisation (IDV) presents the theoretical basis and practices for the design, use and evaluation of modern systems for Interactive Data Visualisation.

Knowledge

• What is Information Visualization, Data Visualization (DV) and the different purposes of DV.
• The role of interactivity in DV and the general interaction patterns.
• The concept of Visual Variable and the practical consequence in the design of Interactive Data Visualization (IDV).
• The classification of data for DV purposes and the impact on IDV.
• For each type of data the most relevant available techniques.
• Due to its wide applicability, some deep understanding on Visualization Techniques for multivariate Data time oriented data and Geospatial Data.
• The main components of general IDV systems and the principal characteristics required on modern IDV systems.
• The available approaches to Compare and Evaluate Visualization Techniques and Systems.
• The actual trends in IDV and their role in more general systems and applications.

Application

• Choose the visual variables and visualization techniques for a given data set and purposes.
• Use a given an existing IDV system to explore one or more data sets.
• Based on existing frameworks and platforms, design and build an IDV system appropriate for a class of data sets and a class of exploration and visualization tasks.
• Setup an experimental environment to evaluate a DV technique. Analyze the data gathered in the experimentation.

Soft-Skills

• Understand the multidisciplinary nature of the area and the relationship with other areas.
• Explore the experimental nature for design IDV systems.

Introduction to Data Visualization

What Is Visualization?

Relationship between Visualization and Other Fields.

The Visualization Process.

Data Foundations.

Human Perception and Information Processing.

Semiology of Graphical Symbols.

The Visual Variables.

Visualization Techniques

Visualization Techniques for Spatial Data

Visualization Techniques for Geospatial Data

Visualization Techniques for Time-Oriented Data

Visualization Techniques for Multivariate Data

Visualization Techniques for Trees, Graphs, and Networks

Text and Document Visualization

Interaction Concepts and Techniques

Interaction Operators, Operands and Spaces (screen, object, data, attributes)

Visualization Structure Space (Components of the Data Visualization)

Animating Transformations

Interaction Control

Designing Effective Visualizations

Comparing and Evaluating Visualization Techniques

Visualization Systems

Systems Based on Data Type

Systems Based on Analysis Type

Text Analysis and Visualization

Modern Integrated Visualization Systems

Toolkits

Research Directions in Visualization

MainBibliography:

• Interactive Data Visualization: Foundations, Techniques, and Applications, Second Edition. Matthew O. Ward, Georges Grinstein, Daniel Keim, 2015, ISBN 9781482257373

• Visualization Analysis & Design,Tamara Munzner,2015,ISBN: 9781466508910
  ISBN (e-Book): 9781498707763

• Functional Art, The: An introduction to information graphics and visualization, Alberto Cairo, Aug 2012

• Visualization of Time-Oriented Data, Wolfgang Aigner, Silvia Miksch Heidrun Schumann, Christian Tominski, 2011, ISBN: 978-0-85729-078-6

Additional readings will be provided during classes and through the course website (including lecture slides).

General progamming skills