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Visualizing with Text uncovers the rich palette of text elements usable in visualizations from simple labels through to documents. Using a multidisciplinary research effort spanning across fields including visualization, typography, and cartography, it builds a solid foundation for the design space of text in visualization. The book illustrates many new kinds of visualizations, including microtext lines, skim formatting, and typographic sets that solve some of the shortcomings of well-known visualization techniques. Key features: More than 240 illustrations to aid inspiration of new visualizations Eight new approaches to data visualization leveraging text Quick reference guide for visualization with text Builds a solid foundation extending current visualization theory Bridges between visualization, typography, text analytics, and natural language processing The author website, including teaching exercises and interactive demos and code, can be found here. Designers, developers, and academics can use this book as a reference and inspiration for new approaches to visualization in any application that uses text.
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story
How we see and how we visualize: why the scientific account differs from our experience.
Practical data design tips from a data visualization expert of the modern age Data doesn't decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships. Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.
An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions
The fight for racial equality in the nineteenth century played out not only in marches and political conventions but also in the print and visual culture created and disseminated throughout the United States by African Americans. Advances in visual technologies--daguerreotypes, lithographs, cartes de visite, and steam printing presses--enabled people to see and participate in social reform movements in new ways. African American activists seized these opportunities and produced images that advanced campaigns for black rights. In this book, Aston Gonzalez charts the changing roles of African American visual artists as they helped build the world they envisioned. Understudied artists such as Robert Douglass Jr., Patrick Henry Reason, James Presley Ball, and Augustus Washington produced images to persuade viewers of the necessity for racial equality, black political leadership, and freedom from slavery. Moreover, these activist artists' networks of transatlantic patronage and travels to Europe, the Caribbean, and Africa reveal their extensive involvement in the most pressing concerns for black people in the Atlantic world. Their work demonstrates how images became central to the ways that people developed ideas about race, citizenship, and politics during the nineteenth century.
Summary Visualizing Graph Data teaches you not only how to build graph data structures, but also how to create your own dynamic and interactive visualizations using a variety of tools. This book is loaded with fascinating examples and case studies to show you the real-world value of graph visualizations. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Assume you are doing a great job collecting data about your customers and products. Are you able to turn your rich data into important insight? Complex relationships in large data sets can be difficult to recognize. Visualizing these connections as graphs makes it possible to see the patterns, so you can find meaning in an otherwise over-whelming sea of facts. About the Book Visualizing Graph Data teaches you how to understand graph data, build graph data structures, and create meaningful visualizations. This engaging book gently introduces graph data visualization through fascinating examples and compelling case studies. You'll discover simple, but effective, techniques to model your data, handle big data, and depict temporal and spatial data. By the end, you'll have a conceptual foundation as well as the practical skills to explore your own data with confidence. What's Inside Techniques for creating effective visualizations Examples using the Gephi and KeyLines visualization packages Real-world case studies About the Reader No prior experience with graph data is required. About the Author Corey Lanum has decades of experience building visualization and analysis applications for companies and government agencies around the globe. Table of Contents PART 1 - GRAPH VISUALIZATION BASICS Getting to know graph visualization Case studies An introduction to Gephi and KeyLines PART 2 VISUALIZE YOUR OWN DATA Data modeling How to build graph visualizations Creating interactive visualizations How to organize a chart Big data: using graphs when there's too much data Dynamic graphs: how to show data over time Graphs on maps: the where of graph visualization
Ai Hisano exposes how corporations, the American government, and consumers shaped the colors of what we eat and even the colors of what we consider “natural,” “fresh,” and “wholesome.” The yellow of margarine, the red of meat, the bright orange of “natural” oranges—we live in the modern world of the senses created by business. Ai Hisano reveals how the food industry capitalized on color, and how the creation of a new visual vocabulary has shaped what we think of the food we eat. Constructing standards for the colors of food and the meanings we associate with them—wholesome, fresh, uniform—has been a business practice since the late nineteenth century, though one invisible to consumers. Under the growing influences of corporate profit and consumer expectations, firms have sought to control our sensory experiences ever since. Visualizing Taste explores how our perceptions of what food should look like have changed over the course of more than a century. By examining the development of color-controlling technology, government regulation, and consumer expectations, Hisano demonstrates that scientists, farmers, food processors, dye manufacturers, government officials, and intermediate suppliers have created a version of “natural” that is, in fact, highly engineered. Retailers and marketers have used scientific data about color to stimulate and influence consumers’—and especially female consumers’—sensory desires, triggering our appetites and cravings. Grasping this pivotal transformation in how we see, and how we consume, is critical to understanding the business of food.
Develops concept imagery: the ability to create mental representations and integrate them with language. This sensory-cognitive skill underlies language comprehension and higher order thinking for students of all ages.