Products related to Visualization:
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A History of Data Visualization and Graphic Communication
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.
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Data-Driven Security : Analysis, Visualization and Dashboards
Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks.This careful guide explores two of the most powerful data analysis and visualization.You'll soon understand how to harness and wield data, from collection and storage to management and analysis as well as visualization and presentation.Using a hands-on approach with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions. Everything in this book will have practical application for information security professionals. Helps IT and security professionals understand and use data, so they can thwart attacks and understand and visualize vulnerabilities in their networksIncludes more than a dozen real-world examples and hands-on exercises that demonstrate how to analyze security data and intelligence and translate that information into visualizations that make plain how to prevent attacksCovers topics such as how to acquire and prepare security data, use simple statistical methods to detect malware, predict rogue behavior, correlate security events, and moreWritten by a team of well-known experts in the field of security and data analysis Lock down your networks, prevent hacks, and thwart malware by improving visibility into the environment, all through the power of data and Security Using Data Analysis, Visualization, and Dashboards.
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Mobile Data Visualization
Mobile Data Visualization is about facilitating access to and understanding of data on mobile devices.Wearable trackers, mobile phones, and tablets are used by millions of people each day to read weather maps, financial charts, or personal health meters.What is required to create effective visualizations for mobile devices?This book introduces key concepts of mobile data visualization and discusses opportunities and challenges from both research and practical perspectives. Mobile Data Visualization is the first book to provide an overview of how to effectively visualize, analyze, and communicate data on mobile devices.Drawing from the expertise, research, and experience of an international range of academics and practitioners from across the domains of Visualization, Human Computer Interaction, and Ubiquitous Computing, the book explores the challenges of mobile visualization and explains how it differs from traditional data visualization.It highlights opportunities for reaching new audiences with engaging, interactive, and compelling mobile content. In nine chapters, this book presents interesting perspectives on mobile data visualization including: how to characterize and classify mobile visualizations; how to interact with them while on the go and with limited attention spans; how to adapt them to various mobile contexts; specific methods on how to design and evaluate them; reflections on privacy, ethical and other challenges, as well as an outlook to a future of ubiquitous visualization.This accessible book is a valuable and rich resource for visualization designers, practitioners, researchers, and students alike.
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Cool Infographics : Effective Communication with Data Visualization and Design
Make information memorable with creative visual design techniques Research shows that visual information is more quickly and easily understood, and much more likely to be remembered.This innovative book presents the design process and the best software tools for creating infographics that communicate.Including a special section on how to construct the increasingly popular infographic resume, the book offers graphic designers, marketers, and business professionals vital information on the most effective ways to present data. Explains why infographics and data visualizations workShares the tools and techniques for creating great infographicsCovers online infographics used for marketing, including social media and search engine optimization (SEO)Shows how to market your skills with a visual, infographic resumeExplores the many internal business uses of infographics, including board meeting presentations, annual reports, consumer research statistics, marketing strategies, business plans, and visual explanations of products and services to your customers With Cool Infographics, you'll learn to create infographics to successfully reach your target audience and tell clear stories with your data.
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The Data Visualization Sketchbook
Bestselling author Stephanie D.H. Evergreen shows how sketching helps realize mistakes and find solutions quickly and provides space to think through, not just an individual graphic, but how several graphics could fit together in a composition, creating drafts for infographics and dashboards.
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Modern Data Visualization with R
Modern Data Visualization with R describes the many ways that raw and summary data can be turned into visualizations that convey meaningful insights.It starts with basic graphs such as bar charts, scatter plots, and line charts, but progresses to less well-known visualizations such as tree maps, alluvial plots, radar charts, mosaic plots, effects plots, correlation plots, biplots, and the mapping of geographic data.Both static and interactive graphics are described and the use of color, shape, shading, grouping, annotation, and animations are covered in detail.The book moves from a default look and feel for graphs, to graphs with customized colors, fonts, legends, annotations, and organizational themes. FeaturesContains a wide breadth of graph types including newer and less well-known approachesConnects each graph type to the characteristics of the data and the goals of the analysisMoves the reader from simple graphs describing one variable to building visualizations that describe complex relationships among many variablesProvides newer approaches to creating interactive web graphics via JavaScript librariesDetails how to customize each graph type to meet users’ needs and those of their audiencesGives methods for creating visualizations that are publication ready for print (in color or black and white) and the webSuggests best practicesOffers examples from a wide variety of fieldsThe book is written for those new to data analysis as well as the seasoned data scientist.It can be used for both teaching and research, and will particularly appeal to anyone who needs to describe data visually and wants to find and emulate the most appropriate method quickly.The reader should have some basic coding experience, but expertise in R is not required.Some of the later chapters (e.g., visualizing statistical models) assume exposure to statistical inference at the level of analysis of variance and regression.
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Functional Aesthetics for Data Visualization
What happens when a researcher and a practitioner spend hours crammed in a Fiat discussing data visualization?Beyond creating beautiful charts, they found greater richness in the craft as an integrated whole.Drawing from their unconventional backgrounds, these two women take readers through a journey around perception, semantics, and intent as the triad that influences visualization.This visually engaging book blends ideas from theory, academia, and practice to craft beautiful, yet meaningful visualizations and dashboards.How do you take your visualization skills to the next level?The book is perfect for analysts, research and data scientists, journalists, and business professionals.Functional Aesthetics for Data Visualization is also an indispensable resource for just about anyone curious about seeing and understanding data.Think of it as a coffee book for the data geek in you. https://www.functionalaestheticsbook.com
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Data Visualization : A Practical Introduction
An accessible primer on how to create effective graphics from dataThis 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 ggplot2Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistentIncludes a library of data sets, code, and functions
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How does one practice visualization?
To practice visualization, find a quiet and comfortable space where you won't be disturbed. Close your eyes and take deep breaths to relax your mind and body. Then, imagine a specific scenario or goal in vivid detail, using all your senses to make it as real as possible. Repeat this practice regularly to strengthen your ability to visualize and manifest your desires.
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What is spatial visualization ability?
Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.
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What is a 3D visualization?
A 3D visualization is a graphical representation of data or objects in three dimensions. It allows viewers to see an object or scene from different angles, providing a more realistic and immersive experience compared to traditional 2D images. 3D visualizations are commonly used in various fields such as architecture, engineering, medicine, and entertainment to help convey complex information in a more understandable and engaging way.
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Is spatial visualization important for engineers?
Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.
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Is poor visualization typical of autism?
Poor visualization is not typical of autism. In fact, individuals with autism may have strengths in visual thinking and processing, such as a strong attention to detail and the ability to think in pictures. However, some individuals with autism may struggle with certain aspects of visual processing, such as difficulties with facial recognition or interpreting nonverbal cues. It's important to recognize that autism is a spectrum disorder, and individuals with autism may have a wide range of strengths and challenges in various areas, including visual processing.
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Is guided visualization a form of meditation?
Guided visualization can be considered a form of meditation, as it involves focusing the mind and creating a sense of relaxation and inner peace. During guided visualization, individuals are led through a series of mental images and prompts to help them relax, reduce stress, and achieve a sense of calm. While traditional meditation often involves focusing on the breath or a mantra, guided visualization uses imagery and guided instructions to help individuals achieve a meditative state. Ultimately, both practices aim to promote mindfulness, reduce anxiety, and enhance overall well-being.
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Can one improve their spatial visualization skills?
Yes, it is possible to improve spatial visualization skills through practice and training. Engaging in activities such as puzzles, building models, and playing spatial reasoning games can help develop these skills. Additionally, practicing mental rotation exercises and regularly challenging oneself with spatial tasks can also contribute to improvement. With consistent effort and dedication, individuals can enhance their spatial visualization abilities over time.
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What are web animation and process visualization?
Web animation refers to the use of animation techniques on websites to enhance user experience, engage visitors, and communicate information in a dynamic and visually appealing way. This can include animated graphics, transitions, and interactive elements that bring a website to life. Process visualization, on the other hand, involves using visual representations such as diagrams, flowcharts, and infographics to illustrate and explain complex processes or systems. This can help viewers understand the sequence of steps, relationships between different elements, and the overall flow of a process in a clear and concise manner. Both web animation and process visualization aim to make information more engaging and easier to comprehend for the audience.
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