# Books

## A History of Data Visualization & Graphic Communication

Publication information: Michael Friendly and Howard Wainer, A History of Data Visualization & Graphic Communication,
2021, Harvard University Press, ISBN: 978-0674975231

Publisher's web site: https://www.hup.harvard.edu/catalog.php?isbn=9780674975231

Authors' companion website: https://friendly.github.io/HistDataVis/

This books aims to give a comprehensive history of data visualization with an emphasis on the questions:
(a) How did the graphic depictions of numbers arise? Why?
(b) What factors led to the key innovations in graphs and diagrams that are commonplace today?
(c) How did graphic inventions make a difference in understanding natural and social phenomena and communicating results?

### Links to further information

- The Milestones Project provides source materials, references and images which shaped this history.

## Discrete Data Analysis with R

Publication information: Michael Friendly and David Meyer, Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data, 2016,
Chapman and Hall/CRC, ISBN 9781498725835.

Publisher's web site: https://www.crcpress.com/9781498725835

Companion web page for Discrete Data Analysis with R

This book provides an accessible introduction to the major methods of categorical data analysis for data exploration, statistical testing and statistical models. As opposed to more theoretical books, the goal here is to help the reader to translate theory into practical application, by providing skills and software tools for carrying out these methods.

### Links to further information

- Companion web page for Discrete Data Analysis with R
- The vcd package for R
- The vcdExtra package for R

## Visualizing Categorical Data

Publication information: Michael Friendly, Visualizing Categorical Data, 2000,
Cary, NC: SAS Press, ISBN: ISBN 1-58025-660-0.

Publisher's web site: http://www.sas.com/apps/pubscat/bookdetails.jsp?pc=56571

Graphical methods for quantitative data are well-developed and widely used, but comparable methods
for categorical data (contingency tables, discrete response data) were neither.
Visualizing Categorical Data was written to extend the full range of statistical graphics to such data.
Many real applications are described and illustrated.

### Links to further information

- Local web page for Visualizing Categorical Data
- SAS Macros for Statistical Graphics
- Visualizing Categorical Data with SAS and R [Short course]
- The vcd package for R

## Visual Statistics

Publication information: Forrest W. Young, Pedro M. Valero-Mora and Michael Friendly,
Visual Statistics: Seeing Data with Dynamic Interactive Graphics, 2006,
New York, NY: Wiley Series in Probability and Statistics. ISBN: 978-0-471-68160-1

Publisher's web site: http://ca.wiley.com/WileyCDA/WileyTitle/productCd-0471681601.html

This book, Visual Statistics: Seeing Data with Dynamic Interactive Graphics, written with Forrest W. Young and Pedro Valero-Mora,
describes a paradigm for doing statistical analysis in a purely visual way with dynamic interactive graphics. It illustrates these
ideas using
ViSta: The Visual Statistics System, freely-available on the internet.

### Links to further information

## SAS System for Statistical Graphics

Publication information: Michael Friendly, SAS System for Statistical Graphics, First Edition, 1991,
Cary, NC: SAS Press, ISBN: 978-1-55544-441-9.

Publisher's web site: http://www.sas.com/apps/pubscat/bookdetails.jsp?pc=56143