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Advanced Logo shows how LOGO can be used as a vehicle to promote
problem solving skills among secondary students, college students,
and instructors. The book demonstrates the wide range of
educational domains that can be explored through LOGO including
generative grammars, physical laws of motion and mechanics,
artificial intelligence, robotics, and calculus.
"Advanced Logo" shows how LOGO can be used as a vehicle to promote
problem solving skills among secondary students, college students,
and instructors. The book demonstrates the wide range of
educational domains that can be explored through LOGO including
generative grammars, physical laws of motion and mechanics,
artificial intelligence, robotics, and calculus.
A comprehensive history of data visualization—its origins, rise,
and effects on the ways we think about and solve problems. With
complex information everywhere, graphics have become indispensable
to our daily lives. Navigation apps show real-time, interactive
traffic data. A color-coded map of exit polls details election
balloting down to the county level. Charts communicate stock market
trends, government spending, and the dangers of epidemics. A
History of Data Visualization and Graphic Communication tells the
story of how graphics left the exclusive confines of scientific
research and became ubiquitous. As data visualization spread, it
changed the way we think. Michael Friendly and Howard Wainer take
us back to the beginnings of graphic communication in the
mid-seventeenth century, when the Dutch cartographer Michael
Florent van Langren created the first chart of statistical data,
which showed estimates of the distance from Rome to Toledo. By 1786
William Playfair had invented the line graph and bar chart to
explain trade imports and exports. In the nineteenth century, the
“golden age” of data display, graphics found new uses in
tracking disease outbreaks and understanding social issues.
Friendly and Wainer make the case that the explosion in graphical
communication both reinforced and was advanced by a cognitive
revolution: visual thinking. Across disciplines, people realized
that information could be conveyed more effectively by visual
displays than by words or tables of numbers. Through stories and
illustrations, A History of Data Visualization and Graphic
Communication details the 400-year evolution of an intellectual
framework that has become essential to both science and society at
large.
An Applied Treatment of Modern Graphical Methods for Analyzing
Categorical Data Discrete Data Analysis with R: Visualization and
Modeling Techniques for Categorical and Count Data presents an
applied treatment of modern methods for the analysis of categorical
data, both discrete response data and frequency data. It explains
how to use graphical methods for exploring data, spotting unusual
features, visualizing fitted models, and presenting results. The
book is designed for advanced undergraduate and graduate students
in the social and health sciences, epidemiology, economics,
business, statistics, and biostatistics as well as researchers,
methodologists, and consultants who can use the methods with their
own data and analyses. Along with describing the necessary
statistical theory, the authors illustrate the practical
application of the techniques to a large number of substantive
problems, including how to organize data, conduct an analysis,
produce informative graphs, and evaluate what the graphs reveal
about the data. The first part of the book contains introductory
material on graphical methods for discrete data, basic R skills,
and methods for fitting and visualizing one-way discrete
distributions. The second part focuses on simple, traditional
nonparametric tests and exploratory methods for visualizing
patterns of association in two-way and larger frequency tables. The
final part of the text discusses model-based methods for the
analysis of discrete data. Web ResourceThe data sets and R software
used, including the authors' own vcd and vcdExtra packages, are
available at http://cran.r-project.org.
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