Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
1,576
result(s) for
"Statistics Graphic methods."
Sort by:
Graph design for the eye and mind
Graphs have become a fixture of everyday life, used in scientific and business publications, in magazines and newspapers, on television, on billboards, and even on cereal boxes. Nonetheless, surprisingly few graphs communicate effectively, and most graphs fail because they do not take into account the goals, needs, and abilities of the viewers. This book addresses these problems by presenting eight psychological principles for constructing effective graphs. Each principle is solidly rooted both in the scientific literature on how we perceive and comprehend graphs and in general facts about how our eyes and brains process visual information. The author uses these eight psychological principles as the basis for hundreds of specific recommendations that serve as a concrete, step-by-step guide to deciding whether a graph is an appropriate display to use, choosing the correct type of graph for a specific type of data and message, and then constructing graphs that will be understood at a glance. The book includes a complete review of the scientific literature on graph perception and comprehension, appendices that provide a quick tutorial on basic statistics, and a checklist for evaluating computer-graphics programs.
eBook
Visualizing Data Patterns with Micromaps
This full-color book explores the design variations and applications of micromaps, which link statistical information to an organized set of small maps. It illustrates the three main types of micromaps (linked, conditioned, and comparative) and summarizes the cognitive research and statistical thinking behind these designs. The book then explains the specific design elements and applications of each of the main micromap designs. To compare and contrast their purposes, limitations, and strengths, the final chapter applies all three of these techniques to the same demographic data for Louisiana before and after Hurricanes Katrina and Rita. Many supplementary resources are available on the book's website.
eBook
Making bar graphs
Guides readers through the different parts of a bar graph, including its title, labels, and scale.
Book
Graphic Discovery
Good graphs make complex problems clear. From the weather forecast to the Dow Jones average, graphs are so ubiquitous today that it is hard to imagine a world without them. Yet they are a modern invention. This book is the first to comprehensively plot humankind's fascinating efforts to visualize data, from a key seventeenth-century precursor--England's plague-driven initiative to register vital statistics--right up to the latest advances. In a highly readable, richly illustrated story of invention and inventor that mixes science and politics, intrigue and scandal, revolution and shopping, Howard Wainer validates Thoreau's observation that circumstantial evidence can be quite convincing, as when you find a trout in the milk.
The story really begins with the eighteenth-century origins of the art, logic, and methods of data display, which emerged, full-grown, in William Playfair's landmark 1786 trade atlas of England and Wales. The remarkable Scot singlehandedly popularized the atheoretical plotting of data to reveal suggestive patterns--an achievement that foretold the graphic explosion of the nineteenth century, with atlases published across the observational sciences as the language of science moved from words to pictures.
Next come succinct chapters illustrating the uses and abuses of this marvelous invention more recently, from a murder trial in Connecticut to the Vietnam War's effect on college admissions. Finally Wainer examines the great twentieth-century polymath John Wilder Tukey's vision of future graphic displays and the resultant methods--methods poised to help us make sense of the torrent of data in our information-laden world.
eBook
Basic and advanced statistical tests : writing results sections and creating tables and figures
\"This book focuses on extraction of pertinent information from statistical test outputs, in order to write result sections and/or accompanying tables and/or figures. Each chapter provides the name of a basic or advanced statistical test, a brief description, examples of when to use each, a sample scenario, and a sample results section write-up. Depending on the test and need, most chapters provide a table and/or figure to accompany the write-up.\"--Provided by publisher.
Book
Graphical models : representations for learning, reasoning and data mining
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 edition of Graphical Models is thoroughly updated to include the latest research in this burgeoning field, including a new chapter on visualization. The text provides graduate students, and researchers with all the necessary background material, including modelling under uncertainty, decomposition of distributions, graphical representation of distributions, and applications relating to graphical models and problems for further research.
eBook
Making circle graphs
Understanding circle graphs, also known as pie charts, is an important math skill. This book investigates the topic using engaging and accessible examples such as sports. Readers examine several circle graphs closely and are guided step-by-step through the process of making their own. A bright design, clear text, and a self-evaluation quiz make this a valuable resource for any classroom. Step-by-Step Instructions, Quiz, Glossary, For Further Information Section, Index.
Book
Atlas of Knowledge
Maps of physical spaces locate us in the world and help us navigate unfamiliar routes. Maps of topical spaces help us visualize the extent and structure of our collective knowledge; they reveal bursts of activity, pathways of ideas, and borders that beg to be crossed. This book, from the author ofAtlas of Science, describes the power of topical maps, providing readers with principles for visualizing knowledge and offering as examples forty large-scale and more than 100 small-scale full-color maps. Today, data literacy is becoming as important as language literacy. Well-designed visualizations can rescue us from a sea of data, helping us to make sense of information, connect ideas, and make better decisions in real time. InAtlas of Knowledge, leading visualization expert Katy Börner makes the case for a systems science approach to science and technology studies and explains different types and levels of analysis. Drawing on fifteen years of teaching and tool development, she introduces a theoretical framework meant to guide readers through user and task analysis; data preparation, analysis, and visualization; visualization deployment; and the interpretation of science maps. To exemplify the framework, the Atlas features striking and enlightening new maps from the popular \"Places & Spaces: Mapping Science\" exhibit that range from \"Key Events in the Development of the Video Tape Recorder\" to \"Mobile Landscapes: Location Data from Cell Phones for Urban Analysis\" to \"Literary Empires: Mapping Temporal and Spatial Settings of Victorian Poetry\" to \"Seeing Standards: A Visualization of the Metadata Universe.\" She also discusses the possible effect of science maps on the practice of science.
eBook