Data Visualization Handbook


Data Visualization Handbook pdf

Download Data Visualization Handbook PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Visualization Handbook book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Data Visualisation


Data Visualisation

Author: Andy Kirk

language: en

Publisher: SAGE

Release Date: 2019-07-08


DOWNLOAD





With over 200 images and extensive how-to and how-not-to examples, the new edition of the book The Financial Times voted one of the ‘six best books for data geeks’ has everything students and scholars need to understand and create effective data visualisations.

Handbook of Data Visualization


Handbook of Data Visualization

Author: Chun-houh Chen

language: en

Publisher: Springer Science & Business Media

Release Date: 2007-12-18


DOWNLOAD





Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This book gives an overview of modern data visualization methods, both in theory and practice. It details modern graphical tools such as mosaic plots, parallel coordinate plots, and linked views. Coverage also examines graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well software for graphics.

Data Visualization Handbook


Data Visualization Handbook

Author: Juuso Koponen

language: en

Publisher:

Release Date: 2020


DOWNLOAD





The popular Finnish information design book by Juuso Koponen and Jonathan Hildén, 'Tieto näkyväksi', is now available in an English version, titled the 'Data Visualization Handbook'. Full of research on data visualisation and international examples of functional and inspiring information design, the publication is intended for anyone interested in deepening their understanding of how data is visualised and how to make such forms of visualisation more interesting for the relevant audiences. Translated from Finnish.