Exploring and Explaining Data with the Processing Environment

Author: Ben Fry

Publisher: "O'Reilly Media, Inc."

ISBN: 0596519303

Category: Computers

Page: 382

View: 7669

Provides information on the methods of visualizing data on the Web, along with example projects and code.
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Author: William S. Cleveland

Publisher: Hobart Press

ISBN: N.A

Category: Computers

Page: 360

View: 1416

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Author: Nathan Yau

Publisher: John Wiley & Sons

ISBN: 3527760229

Category: Statistics / Graphic methods / Data processing

Page: 422

View: 415

A guide on how to visualise and tell stories with data, providing practical design tips complemented with step-by-step tutorials.
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Author: Daniel B. Carr,Linda Williams Pickle

Publisher: CRC Press

ISBN: 9781420075748

Category: Mathematics

Page: 182

View: 4010

After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data Patterns with Micromaps presents the many design variations and applications of micromaps, which link statistical information to an organized set of small maps. This full-color book helps readers simultaneously explore the statistical and geographic patterns in their data. After illustrating the three main types of micromaps, the authors summarize the research behind the design of visualization tools that support exploration and communication of spatial data patterns. They then explain how these research findings can be applied to micromap designs in general and detail the specifics involved with linked, conditioned, and comparative 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. Supplementary website Offering numerous ancillary features, the book’s website at http://mason.gmu.edu/~dcarr/Micromaps/ provides many boundary files and real data sets that address topics, such species biodiversity and alcoholism. One complete folder of data examples presents cancer statistics, risk factors, and demographic data. The site includes CCmaps, the dynamic implementation of conditioned micromaps written in Java, as well as a link to a generalized micromaps program. It also contains R functions and scripts for linked and comparative micromaps, enabling re-creation of all the corresponding examples in the book.
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des nützlichen und unnützen Wissens

Author: David McCandless

Publisher: Albrecht Knaus Verlag

ISBN: 3641091993

Category: Political Science

Page: 256

View: 8554

Sehen und verstehen – was Sie in diesem Buch entdecken, wird Ihnen nicht mehr aus dem Kopf gehen. Noch nie war Wissen so schön anzusehen. Noch nie waren Zusammenhänge so leicht zu durchschauen. Das Visualisierungsgenie David McCand less erschafft aus Zahlen, Daten und Fakten einzigartige und unvergessliche Grafiken und Bilder, die unsere Synapsen zum Schwingen bringen. In welchem Land werden die meisten Bücher gelesen? Welcher Bart passt zu welchem Gesicht? Welche Musikstile beeinflussen sich wie? Welche Moralvorstellungen verbinden sich mit welcher Religion? Was verbraucht mehr Kalorien: Blümchensex oder Lesen? Welche alternativen Heilmethoden haben welche wissenschaftliche Evidenz? David McCandless ist einer der angesagtesten Informationsdesigner und gehört zu einer neuen Generation von Journalisten. Er setzt spannende Fakten ebenso überzeugend ins Bild wie komplizierte Zusammenhänge. Mithilfe von Farben und Formen macht er Wissen sichtbar. So entsteht aus über einhundert originellen Bildern ein Kaleidoskop aus nützlichem und unnützem Wissen, das einfach Spaß macht. Hoher Spaßfaktor! Ein »Lesegenuss« voller Anregungen und Überraschungen, bestens als Geschenk geeignet.
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Microsoft Tools and Techniques for Visualizing Data

Author: Mark Stacey,Joe Salvatore,Adam Jorgensen

Publisher: John Wiley & Sons

ISBN: 1118417526

Category: Computers

Page: 400

View: 3616

Go beyond design concepts and learn to build state-of-the-art visualizations The visualization experts at Microsoft's Pragmatic Works have created a full-color, step-by-step guide to building specific types of visualizations. The book thoroughly covers the Microsoft toolset for data analysis and visualization, including Excel, and explores best practices for choosing a data visualization design, selecting tools from the Microsoft stack, and building a dynamic data visualization from start to finish. You'll examine different types of visualizations, their strengths and weaknesses, and when to use each one. Data visualization tools unlock the stories within the data, enabling you to present it in a way that is useful for making business decisions This full-color guide introduces data visualization design concepts, then explains the various Microsoft tools used to store and display data Features a detailed discussion of various classes of visualizations, their uses, and the appropriate tools for each Includes practical implementations of various visualizations and best practices for using them Covers out-of-the-box Microsoft tools, custom-developed illustrations and implementations, and code examples Visual Intelligence: Microsoft Tools and Techniques for Visualizing Data arms you with best practices and the knowledge to choose and build dynamic data visualizations.
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Author: Brian Larson,Mark Davis,Dan English,Paul Purington

Publisher: McGraw Hill Professional

ISBN: 0071810226

Category: Computers

Page: 336

View: 1566

The only official guide to Tableau 8, the award-winning BI software In this book, Certified Tableau trainer and bestselling BI author George Peck teaches you how to build meaningful data visualizations and dashboards using Tableau 8. Complete with training videos, Tableau 8: The Official Guide provides comprehensive coverage of the latest version of Tableau, the BI software designed for faster data analysis and better business dashboards. Electronic content features original Camtasia videos that bring all examples to life Shows how to build dashboards and analytics in minutes and hours, not days and weeks Enables informed business decision-making based on real data discovery
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Practical Recipes for Visualizing Data

Author: Winston Chang

Publisher: O'Reilly Media

ISBN: 1491978570

Category: Computers

Page: 444

View: 7718

This O’Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works. Most of the recipes in this second edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You’ll also find expanded content about the visual design of graphics. If you have at least a basic understanding of the R language, you’re ready to get started with this easy-to-use reference. Use R’s default graphics for quick exploration of data Create a variety of bar graphs, line graphs, and scatter plots Summarize data distributions with histograms, density curves, box plots, and more Provide annotations to help viewers interpret data Control the overall appearance of graphics Explore options for using colors in plots Create network graphs, heat maps, and 3D scatter plots Get your data into shape using packages from the tidyverse
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Author: Rhonda Hoenigman

Publisher: Lulu Press, Inc

ISBN: 1329133021

Category: Computers

Page: 149

View: 2527

This book is intended for an introductory data structures class, either as a supplement to a traditional textbook or as a stand-alone resource. The intended audience is second-semester computer science students with knowledge of programming in C or C++. The focus is on fundamental concepts of data structures and algorithms and providing the necessary detail for students to implement the data structures presented. Basic data structures, including arrays, stacks, queues, linked lists, trees, binary search trees, tree balancing, hash tables, and graphs are presented, including the operations on those data structures. The algorithms are presented in a language that could be called “pseudocode with C++ tendencies.” In many cases, basic C++ is also provided. Sorting algorithms and an introduction to complexity analysis and Big-Oh notation are also included. Each chapter includes numerous pictures depicting the data structures and how the basic operations on the structures modify their contents.
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Diagramme, Netze, Karten

Author: Jacques Bertin

Publisher: Walter de Gruyter

ISBN: 3110834901

Category: Science

Page: 430

View: 2153

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Author: Andrew Sleeper

Publisher: McGraw Hill Professional

ISBN: 007173564X

Category: Business & Economics

Page: 68

View: 6083

Here is a chapter from Design for Six Sigma Statistics, written by a Six Sigma practitioner with more than two decades of DFSS experience who provides a detailed, goal-focused roadmap. It shows you how to execute advanced mathematical procedures specifically aimed at implementing, fine-tuning, or maximizing DFSS projects to yield optimal results. For virtually every instance and situation, you are shown how to select and use appropriate mathematical methods to meet the challenges of today's engineering design for quality.
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A Handbook for Data Driven Design

Author: Andy Kirk

Publisher: SAGE

ISBN: 1473966310

Category: Computers

Page: 368

View: 9698

Voted one of the 'six best books for data geeks' by The Financial Times. Read the review here Lecturers, request your electronic inspection copy Never has it been more essential to work in the world of data. Scholars and students need to be able to analyze, design and curate information into useful tools of communication, insight and understanding. This book is the starting point in learning the process and skills of data visualization, teaching the concepts and skills of how to present data and inspiring effective visual design. Benefits of this book: A flexible step-by-step journey that equips you to achieve great data visualization A curated collection of classic and contemporary examples, giving illustrations of good and bad practice Examples on every page to give creative inspiration Illustrations of good and bad practice show you how to critically evaluate and improve your own work Advice and experience from the best designers in the field Loads of online practical help, checklists, case studies and exercises make this the most comprehensive text available
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Author: Michael Alexander,Mico Yuk,Stephanie Diamond

Publisher: John Wiley & Sons

ISBN: 1118502892

Category: Computers

Page: 256

View: 4199

Provides information on effectively analyzing and displaying data.
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The FlowingData Guide to Design, Visualization, and Statistics

Author: Nathan Yau

Publisher: John Wiley & Sons

ISBN: 1118140265

Category: Computers

Page: 384

View: 3088

Practical data design tips from a data visualization expert ofthe modern age Data doesn?t decrease; it is ever-increasing and can beoverwhelming to organize in a way that makes sense to its intendedaudience. Wouldn?t it be wonderful if we could actually visualizedata in such a way that we could maximize its potential and tell astory in a clear, concise manner? Thanks to the creative genius ofNathan Yau, we can. With this full-color book, data visualizationguru and author Nathan Yau uses step-by-step tutorials to show youhow to visualize and tell stories with data. He explains how togather, parse, and format data and then design high qualitygraphics that help you explore and present patterns, outliers, andrelationships. Presents a unique approach to visualizing and telling storieswith data, from a data visualization expert and the creator offlowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips forcreating statistical graphics, geographical maps, and informationdesign to find meaning in the numbers Details tools that can be used to visualize data-nativegraphics for the Web, such as ActionScript, Flash libraries, PHP,and JavaScript and tools to design graphics for print, such as Rand Illustrator Contains numerous examples and descriptions of patterns andoutliers and explains how to show them Visualize This demonstrates how to explain data visually so thatyou can present your information in a way that is easy tounderstand and appealing.
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Designing and Visualizing Data

Author: Wang Shaoqiang

Publisher: Promopress

ISBN: 9788416504923

Category: Computers

Page: 240

View: 9576

The use of infographics has acquired a significant role in the management of information to explain complex contexts in an easy to understand way. After selling out our first HB edition in a short time, we have decided to make this reference sourcebook available to a wider audience.
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Author: Chun-houh Chen,Wolfgang Karl Härdle,Antony Unwin

Publisher: Springer Science & Business Media

ISBN: 9783540330370

Category: Computers

Page: 936

View: 5832

Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This book gives an overview of modern data visualization methods, both in theory and practice. It details modern graphical tools such as mosaic plots, parallel coordinate plots, and linked views. Coverage also examines graphical methodology for particular areas of statistics, for example Bayesian analysis, genomic data and cluster analysis, as well software for graphics.
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Data Visualization, Spatialization, and Multidimensionality

Author: Hai-Jew, Shalin

Publisher: IGI Global

ISBN: 146664463X

Category: Education

Page: 349

View: 7366

With higher education turning towards data analytics as the next big advance in technology, it is important to look at how information is gathered and visualized for accurate comprehension, analysis, and decision-making. Packaging Digital Information for Enhanced Learning and Analysis: Data Visualization, Spatialization, and Multidimensionality brings together effective practices for the end-to-end capture and web based presentation of information for comprehension, analysis, and decision-making. This publication is beneficial for educators, trainers, instructional designers, web designers, and graduate students interested in improving analytical tools.
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Author: Cyrille Rossant

Publisher: Packt Publishing Ltd

ISBN: 1783986999

Category: Computers

Page: 200

View: 691

Get started with Python for data analysis and numerical computing in the Jupyter notebook About This Book Learn the basics of Python in the Jupyter Notebook Analyze and visualize data with pandas, NumPy, matplotlib, and seaborn Perform highly-efficient numerical computations with Numba, Cython, and ipyparallel Who This Book Is For This book targets students, teachers, researchers, engineers, analysts, journalists, hobbyists, and all data enthusiasts who are interested in analyzing and visualizing real-world datasets. If you are new to programming and data analysis, this book is exactly for you. If you're already familiar with another language or analysis software, you will also appreciate this introduction to the Python data analysis platform. Finally, there are more technical topics for advanced readers. No prior experience is required; this book contains everything you need to know. What You Will Learn Install Anaconda and code in Python in the Jupyter Notebook Load and explore datasets interactively Perform complex data manipulations effectively with pandas Create engaging data visualizations with matplotlib and seaborn Simulate mathematical models with NumPy Visualize and process images interactively in the Jupyter Notebook with scikit-image Accelerate your code with Numba, Cython, and IPython.parallel Extend the Notebook interface with HTML, JavaScript, and D3 In Detail Python is a user-friendly and powerful programming language. IPython offers a convenient interface to the language and its analysis libraries, while the Jupyter Notebook is a rich environment well-adapted to data science and visualization. Together, these open source tools are widely used by beginners and experts around the world, and in a huge variety of fields and endeavors. This book is a beginner-friendly guide to the Python data analysis platform. After an introduction to the Python language, IPython, and the Jupyter Notebook, you will learn how to analyze and visualize data on real-world examples, how to create graphical user interfaces for image processing in the Notebook, and how to perform fast numerical computations for scientific simulations with NumPy, Numba, Cython, and ipyparallel. By the end of this book, you will be able to perform in-depth analyses of all sorts of data. Style and approach This is a hands-on beginner-friendly guide to analyze and visualize data on real-world examples with Python and the Jupyter Notebook.
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Author: Jon Raasch,Graham Murray,Vadim Ogievetsky,Joseph Lowery

Publisher: John Wiley & Sons

ISBN: 1118847229

Category: Computers

Page: 480

View: 4020

Go beyond design concepts—build dynamic datavisualizations using JavaScript JavaScript and jQuery for Data Analysis and Visualizationgoes beyond design concepts to show readers how to build dynamic,best-of-breed visualizations using JavaScript—the mostpopular language for web programming. The authors show data analysts, developers, and web designershow they can put the power and flexibility of modern JavaScriptlibraries to work to analyze data and then present it usingbest-of-breed visualizations. They also demonstrate the use of eachtechnique with real-world use cases, showing how to apply theappropriate JavaScript and jQuery libraries to achieve the desiredvisualization. All of the key techniques and tools are explained in thisfull-color, step-by-step guide. The companion website includes allsample codes used to generate the visualizations in the book, datasets, and links to the libraries and other resources covered. Go beyond basic design concepts and get a firm grasp ofvisualization approaches and techniques using JavaScript andjQuery Discover detailed, step-by-step directions for buildingspecific types of data visualizations in this full-color guide Learn more about the core JavaScript and jQuery libraries thatenable analysis and visualization Find compelling stories in complex data, and create amazingvisualizations cost-effectively Let JavaScript and jQuery for Data Analysis andVisualization be the resource that guides you through themyriad strategies and solutions for combining analysis andvisualization with stunning results.
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