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Mastering Python Data Visualization

You're reading from  Mastering Python Data Visualization

Product type Book
Published in Oct 2015
Publisher
ISBN-13 9781783988327
Pages 372 pages
Edition 1st Edition
Languages

Table of Contents (16) Chapters

Mastering Python Data Visualization
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
A Conceptual Framework for Data Visualization Data Analysis and Visualization Getting Started with the Python IDE Numerical Computing and Interactive Plotting Financial and Statistical Models Statistical and Machine Learning Bioinformatics, Genetics, and Network Models Advanced Visualization Go Forth and Explore Visualization Index

Perception and presentation methods


In the past, data size and variety did not impose much of a challenge; therefore, perceiving and analyzing data was straightforward. Today there are large quantities of data in innumerable fields, and visualization can provide valuable assistance to humans for perceiving and interacting with visualization of the data. Human factors contribute significantly to the whole visualization process in order to better understand data and aid in decision-making tasks.

Visualization techniques can be categorized into two areas:

  • Scientific visualization: This involves scientific data with an inherent physical entity

  • Information visualization: This involves abstract data (spatial or non-spatial)

Most visualization systems are designed so that humans and computers can cooperate, each performing the following tasks:

  • Visually representing data to enhance data analysis

  • Visually displaying models, interpretations of data, ideas, hypotheses, and insight

  • Helping users to improve...

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