Visualizing The Present
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| Author | : Nathan Yau |
| Publisher | : John Wiley & Sons |
| Total Pages | : 431 |
| Release | : 2011-06-13 |
| Genre | : Computers |
| ISBN | : 1118140265 |
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.
| Author | : Gregor Krisztian |
| Publisher | : |
| Total Pages | : 203 |
| Release | : 2006 |
| Genre | : Advertising layout and typography |
| ISBN | : 9780500286128 |
In this book, Gregor Krisztian and Nesrin Schlempp-Ülker explore and explain basic layout techniques, giving expert tips and demonstrating useful tricks employed by professionals. They show you how to present your ideas quickly and effectively, illustrating all stages of work with clear examples from teaching and practice. This will be an indispensable reference work for all professional designers and students - indeed, for anyone who wishes to present their ideas successfully and skilfully.
| Author | : James A. Cook |
| Publisher | : Lexington Books |
| Total Pages | : 323 |
| Release | : 2014-09-26 |
| Genre | : History |
| ISBN | : 073919044X |
Visualizing Modern China: Image, History, and Memory, 1750–Present offers a sophisticated yet accessible interpretation of modern Chinese history through visual imagery. With rich illustrations and a companion website, it is an ideal textbook for college-level courses on modern Chinese history and on modern visual culture. The introduction provides a methodological framework and historical overview, while the chronologically arranged chapters use engaging case studies to explore important themes. Topics include: Qing court ritual, rebellion and war, urban/rural relations, art and architecture, sports, the Chinese diaspora, state politics, film propaganda and censorship, youth in the Cultural Revolution, environmentalism, and Internet culture. Companion website: http://visualizingmodernchina.org
| Author | : Abha Belorkar |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 362 |
| Release | : 2020-04-14 |
| Genre | : Computers |
| ISBN | : 1800201060 |
Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of Python Key FeaturesStudy and use Python interactive libraries, such as Bokeh and PlotlyExplore different visualization principles and understand when to use which oneCreate interactive data visualizations with real-world dataBook Description With so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand. Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python. You'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model. By the end of the course, you'll have a new skill set that'll make you the go-to person for transforming data visualizations into engaging and interesting stories. What you will learnExplore and apply different interactive data visualization techniquesManipulate plotting parameters and styles to create appealing plotsCustomize data visualization for different audiencesDesign data visualizations using interactive librariesUse Matplotlib, Seaborn, Altair and Bokeh for drawing appealing plotsCustomize data visualization for different scenariosWho this book is for This book intends to provide a solid training ground for Python developers, data analysts and data scientists to enable them to present critical data insights in a way that best captures the user's attention and imagination. It serves as a simple step-by-step guide that demonstrates the different types and components of visualization, the principles, and techniques of effective interactivity, as well as common pitfalls to avoid when creating interactive data visualizations. Students should have an intermediate level of competency in writing Python code, as well as some familiarity with using libraries such as pandas.
| Author | : Kieran Healy |
| Publisher | : Princeton University Press |
| Total Pages | : 292 |
| Release | : 2018-12-18 |
| Genre | : Social Science |
| ISBN | : 0691181624 |
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
| Author | : Steve Wexler |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 208 |
| Release | : 2021-05-18 |
| Genre | : Business & Economics |
| ISBN | : 1260473538 |
Not a data expert? Here’s an engaging and entertaining guide to interpreting and drawing insights from any chart, graph, or other data visualization you’ll encounter. You’re a business professional, not a data scientist. How do you make heads or tails of the data visualizations that come across your desk—let alone make critical business decisions based on the information they’re designed to convey? In The Big Picture, top data visualization consultant Steve Wexler provides the tools for developing the graphical literacy you need to understand the data visualizations that are flooding your inbox—and put that data to use. Packed with the best four-color examples created in Excel, Tableau, Power BI, and Qlik, among others, this one-stop resource empowers you to extract the most important information from data visualizations quickly and accurately, act on key insights, solve problems, and make the right decisions for your organization every time.
| Author | : Stephanie D. H. Evergreen |
| Publisher | : SAGE Publications |
| Total Pages | : 131 |
| Release | : 2019-04-03 |
| Genre | : Social Science |
| ISBN | : 1544350988 |
The Data Visualization Sketchbook, the latest addition to bestselling author Stephanie D.H. Evergreen’s arsenal of data viz tools, provides advice on getting started with sketching and offers tips, guidance, and completed sample sketches for a number of reporting formats including a project page, graphs, dashboards, a one-page handout, slide design, and a report structure. Dr. Evergreen shows how sketching gives people the space to think through not just an individual graphic, but how several graphics could fit together in a composition when creating drafts for infographics and dashboards. The book comprises seven complete sets of report templates for you to sketch in and plan your own reporting, and it includes full-color qualitative and quantitative "Chart Choosers." This must-have sketchbook helps readers realize mistakes, find solutions quickly, and report data by methods that keep audiences engaged and informed.
| Author | : Johannes Wheeldon |
| Publisher | : SAGE |
| Total Pages | : 225 |
| Release | : 2011-07-12 |
| Genre | : Social Science |
| ISBN | : 145223955X |
This introductory text presents basic principles of social science research through maps, graphs, and diagrams. The authors show how concept maps and mind maps can be used in quantitative, qualitative, and mixed methods research, using student-friendly examples and classroom-based activities. Integrating theory and practice, chapters show how to use these tools to plan research projects, "see" analysis strategies, and assist in the development and writing of research reports.
| Author | : Jack Dougherty |
| Publisher | : O'Reilly Media |
| Total Pages | : 275 |
| Release | : 2021-04-30 |
| Genre | : |
| ISBN | : 9781492086000 |
Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization for All takes you step-by-step through tutorials, real-world examples, and online resources. This hands-on resource is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others
| Author | : Paul A. Kirschner |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 234 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1447100379 |
This text examines the use of collaboration technologies in the problem-solving or decision-making process. These systems are widely used in both education and in the workplace to enable virtual groups to discuss and exchange ideas on issues ranging from applied problems to theoretical debate. While some systems are text-based, the majority rely on visualization techniques to allow participants to represent their ideas in a more flexible, graphical form. The text evaluates existing systems, and looks at how the specific needs of users in both educational and corporate environments can be reflected in the design of new systems.
