Visual data analysis is a key tool for helping people to make sense of and interact with
massive data sets. However, existing evaluation methods (eg, database benchmarks …

We present a vision of next-generation visual analytics services. We argue that these
services should have three related capabilities: support visual and interactive data …

Visual analytics is becoming the fastest way for people to explore and understand data of
any size. Many companies took notice when Gartner cited interactive data visualization as …

Abstract The domain of Visual Analytics has emerged with a charter to support interactive
exploration and analysis of large volumes of (often dynamic) data. A common feature shared …

Never before in history data is generated and collected at such high volumes as it is today.
As the volumes of data available to business people, scientists, and the public increase …

Visualization is one of the most effective and widely-used techniques for understanding
data. Yet, the growing use of visualizations for exploratory data analysis poses new …

Visualization tools are typically evaluated in controlled studies that observe the short-term
usage of these tools by participants on preselected data sets and benchmark tasks. Though …

Visual data analysis involves both open-ended and focused exploration. Manual chart
specification tools support question answering, but are often tedious for early-stage …

In this article, we develop guidelines for evaluating visual analytics environments based on
a synthesis of reviews for the entries to the 2009 Visual Analytics Science and Technology …

This textbook presents the main principles of visual analytics and describes techniques and
approaches that have proven their utility and can be readily reproduced. Special emphasis …