INFOMVABD Visual Analytics for Big Data

Overview

INFOMVABD is a practical course on visual analytics: the art of exploring large, complex, and time-dependent data through effective visual representations, without losing sight of the analytical questions behind the data. We apply principles of data representation, visual encoding, and interactive analysis in a structured manner. Especially in the practical parts of the course, we learn how to design and use modern visual analytics workflows to explore real-world datasets efficiently.

Data representation: Large datasets come in many forms, such as time series, multidimensional, and unstructured data. Learning how to represent such data appropriately is essential for making it accessible to visual exploration and meaningful analysis.

Visual analysis techniques: Modern visual analytics combines perception, interaction, and design. Leveraging techniques such as linked views, annotations, parallel coordinates, node-link diagrams, projections, and treemaps is an important part of turning raw data into interpretable insights.

Context: Visual analytics is a vital skill in data science and decision-making, but also applies broadly to any field where complex data must be explored, understood, and communicated clearly.

Lecturer

Angelos Chatzimparmpas (a.chatzimparmpas@uu.nl)