From the Analytical to Artistic: A Review of Literature on Information Visualization (original) (raw)

A Brief History of Data Visualization

Springer Handbooks Comp.Statistics, 2008

It is common to think of statistical graphics and data visualization as relatively modern developments in statistics. In fact, the graphic representation of quantitative information has deep roots. These roots reach into the histories of the earliest map-making and visual depiction, and later into thematic cartography, statistics and statistical graphics, medicine, and other fields. Along the way, developments in technologies (printing, reproduction) mathematical theory and practice, and empirical observation and recording, enabled the wider use of graphics and new advances in form and content.

A Brief History of Data Visualization A brief history of data visualization

in: Handbook of Computational Statistics: Data Visualization. See also BIBT E X entry below. BIBT E X: @InCollection{Friendly:06:hbook, author = {M. Friendly}, title = {A Brief History of Data Visualization}, year = {2006}, publisher = {Springer-Verlag}, address = {Heidelberg}, booktitle = {Handbook of Computational Statistics: Data Visualization}, volume = {III}, editor = {C. Chen and W. H\"ardle and A Unwin}, pages = Abstract It is common to think of statistical graphics and data visualization as relatively modern developments in statistics. In fact, the graphic representation of quantitative information has deep roots. These roots reach into the histories of the earliest map-making and visual depiction, and later into thematic cartography, statistics and statistical graphics, medicine, and other fields. Along the way, developments in technologies (printing, reproduction) mathematical theory and practice, and empirical observation and recording, enabled the wider use of graphics and new advances in form and content. This chapter provides an overview of the intellectual history of data visualization from medieval to modern times, describing and illustrating some significant advances along the way. It is based on a project, called the Milestones Project, to collect, catalog and document in one place the important developments in a wide range of areas and fields that led to modern data visualization. This effort has suggested some questions of the use of present-day methods to analyze and understand this history, that I discuss under the rubric of " statistical historiography. "

Guest editorial: Special issue on information visualisation

Journal of Visual Languages & Computing, 2018

In the current information era, most aspects of life depend on and driven by data, information, knowledge and user experience. The infrastructure of an information-dependent society and drive for new innovation and direction of activities heavily relies on the quality of data, information and analysis of such entities from past to its projected future activities. Information Visualisation, Visual Analytics, Business Intelligence, machine learning and application domains are just a few of the current state of the art developments that effectively enhance understanding of these driving forces. There are several key interdependent determinants emerging that are becoming the focus of scientific activities, such as: raw data (origin, autonomous capture, classification, incompleteness, impurity, filtering), data scale transformation to knowledge acquisition and its dependencies on domain of application. Processing the relationship between these stages, from the raw data to visualisation, has added new impetus to the way these are understood and communicated. Visualisation has been one of the most used methods in presenting data and generating insights [1]. The tradition of use and communication by visualisation is deep rooted and helps us investigate new meanings by application to the humanities, history, art & design, and human factors & user experience studies. Modern day computer assisted analytics and visualisation has added momentum in developing tools that exploit metaphordriven techniques within many applied domains. The techniques are developed beyond visualisation to simplify the complexities, to reveal ambiguity, and to work with incompleteness. The next phase of this evolving field is to understand uncertainty and risk analysis; how this uncertainty is built into the processes that exist in all stages of the process, from raw data to the knowledge acquisition stage.

An Analysis of Information in Visualisation

Philosophers have relied on visual metaphors to analyse ideas and explain their theories at least since Plato. Descartes is famous for his system of axes, and Wittgenstein for his first design of truth table diagrams. Today, visualisation is a form of 'computer-aided seeing' information in data.

A literature review on the intersections between art and information visualization

—Many scholars relate visualization of data and art from different points of view. In this survey we collect some key concepts linking art and visualization to see what can art practices and approaches bring to the information visualization, and what are the main differences between information visualization and artistic visualization.

Aesthetics of information visualization

2011

Right now, at the beginning of the twenty-first century, there are a great number of artists working on, what could be called, projects of information visualization.“Information visualization,” as a named area of research and development, was originally an outgrowth of the pragmatics of contemporary science and engineering. Faced with huge volumes of data, scientists and engineers write computer programs to render data as images, making it possible to visually search for and scrutinize patterns in the data.

Visual Showcase: An Illustrative Data Graphic in an 18th-19th Century Style

We exhibit an data graphic poster that emulates the style of historic hand-made visualizations of the 18 th -19 th century. Our visualization uses real data and employs style elements such as an emulation of ink lines, hatching and cross-hatching, appropriate typesetting, and unique style of computer-assisted facial drawings.