Information Visualization, an international, peer-reviewed journal, is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications.
From summarizing and interpreting data, to identifying
non-trivial facts, patterns, and relationships in the data,
to making predictions from the data, Making Sense of Data
addresses the many issues that need to be considered as
well as the steps that need to be taken to make decisions
from data.
Practical, hands-on books for learning data mining
A simple and comprehensive book that describes how to apply statistical methods
Outlines the process of data analysis