๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Graphical Methods for Data Analysis

โœ Scribed by John M. Chambers, William S. Cleveland, Paul A. Tukey, Beat Kleiner


Publisher
Duxbury Press
Year
1983
Tongue
English
Leaves
408
Series
Wadsworth & Brooks/Cole Statistics/Probability Series
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Graphical methods for data analysis
โœ John M. Chambers, William S. Cleveland, Beat Kleiner, Paul A. Tukey ๐Ÿ“‚ Library ๐Ÿ“… 1998 ๐Ÿ› Chapman and Hall/Cole Publishing Company ๐ŸŒ English
Graphical Models: Methods for Data Analy
โœ Borgelt C., Kruse R., Steinbrecher M. ๐Ÿ“‚ Library ๐ŸŒ English

Wiley, 2009. - 404 Pages.<div class="bb-sep"></div>Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to learning relational, probabilistic, and possibilistic networks from data, this second edit

ggplot2: Elegant Graphics for Data Analy
โœ Hadley Wickham (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2009 ๐Ÿ› Springer-Verlag New York ๐ŸŒ English

<p><P>This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison's <EM>Grammar of Graphics</EM> to create a powerful and flexible system for creating data graphics. With ggplot2, it's easy to:</P><P></P><UL><LI>produce handsome, publication-qualit