𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Graphical methods for data analysis

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


Publisher
Duxbury Press
Year
1983
Tongue
English
Leaves
407
Series
Wadsworth & Brooks/Cole Statistics/Probability Series
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Subjects


Π‘ΠΈΠ±Π»ΠΈΠΎΡ‚Π΅ΠΊΠ°;ΠšΠΎΠΌΠΏΡŒΡŽΡ‚Π΅Ρ€Π½Π°Ρ Π»ΠΈΡ‚Π΅Ρ€Π°Ρ‚ΡƒΡ€Π°;R;


πŸ“œ SIMILAR VOLUMES


Graphical methods for data analysis
✍ John M. Chambers, William S. Cleveland, Beat Kleiner, Paul A. Tukey πŸ“‚ Library πŸ“… 1998 πŸ› Chapman and Hall/Cole Publishing Company 🌐 English
Graphical Models: Methods for Data Analy
✍ Borgelt C., Kruse R., Steinbrecher M. πŸ“‚ Library 🌐 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
✍ Hadley Wickham (auth.) πŸ“‚ Library πŸ“… 2009 πŸ› Springer-Verlag New York 🌐 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