Interactive Graphics for Data Analysis Download

Author: Martin Theus
Edition: 1
Binding: Hardcover
ISBN: 1584885947

Interactive Graphics for Data Analysis: Principles and Examples (Chapman & Hall/CRC Computer Science & Data Analysis)

Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets. Download Interactive Graphics for Data Analysis: Principles and Examples (Chapman & Hall/CRC Computer Science & Data Analysis) from rapidshare, mediafire, 4shared. Fundamentals of Interactive Statistical Graphics
The first part of the book summarizes principles and methodology, demonstrating how the different graphical representations of variables of a dataset are effectively used in an interactive setting. The authors introduce the most important plots and their interactive controls. They also examine various types of data, relations between variables, and plot ensembles. Case Studies Illustrate the Principles
The second section f Search and find a lot of computer books in many category availabe for free download.

Interactive Graphics for Data Analysis Free

Interactive Graphics for Data Analysis computer books for free. Case Studies Illustrate the Principles
The second section f

Related education books

ggplot2: Elegant Graphics for Data Analysis (Use R!)

Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures

The Art of R Programming: A Tour of Statistical Software Design

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess

The Functional Art: An introduction to information graphics and visualization (Voices That Matter)

Unlike any time before in our lives, we have access to vast amounts of free information. With the right tools, we can start to make sense of all this data to see patterns and trends that would otherwise be invisible to us. By transforming numb