With this book, you'll learn: Task analysis, driven by a series of leading questions that draw out the important aspects of the data to be explored; Visualization patterns, each of which take a different perspective on data and answer ...
The need for a systematic and methodological development of visual analytics was detected. This book aims at addressing this need.
The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods.
This book opens up a whole field of study, including the scientific validation of these techniques, their limitations, and their generalizations to different types of datasets.
Jakub Klímek, Jirí Helmich, and Martin Necaský. Use cases for linked data visualization model. In Workshop on Linked Data on the Web (LDOW), 2015. 55, 66 Jakub Klímek, Jirí Helmich, and Martin Necaský. LinkedPipes visualization: Simple ...
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun.
This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures.
Visual Data Exploration and Analysis VII: 24-26 January, 2000, San Jose, California
“ Visualization of Neural Networks Using Saliency Maps , ” Proceedings of the 1995 IEEE International Conference on Neural Networks , vol . 4 , pp . 2085–2090 . [ Ols93 ] K. A. Olsen , R. R. Korfhage , K. M. Sochats , M. B. Spring ...
Visual Data Exploration and Analysis IV: 12-14 February 1997, San Jose, California