Products related to Visualization:
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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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Visualization Analysis and Design
Learn How to Design Effective Visualization SystemsVisualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices.The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration.It emphasizes the careful validation of effectiveness and the consideration of function before form.The book breaks down visualization design according to three questions: what data users need to see, why users need to carry out their tasks, and how the visual representations proposed can be constructed and manipulated.It walks readers through the use of space and color to visually encode data in a view, the trade-offs between changing a single view and using multiple linked views, and the ways to reduce the amount of data shown in each view.The book concludes with six case studies analyzed in detail with the full framework. The book is suitable for a broad set of readers, from beginners to more experienced visualization designers.It does not assume any previous experience in programming, mathematics, human–computer interaction, or graphic design and can be used in an introductory visualization course at the graduate or undergraduate level.
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Introduction to Scientific Visualization
AboutThisBook This book was ?rst suggested to Springer in 2004, though its origins go back to changes made two years earlier to the structure of the University of Hull’s Computer Science programme.At the same time, my own visualization - search was leading towards a systematic view of data and techniques that I felt could be educationally valuable.In 2003 I thus sat down with some trepidation to write a visualization course founded on research in the area but nonetheless accessible to students.This course could, however, involve no mathematics beyond GCSE, in line with university admissions practices of that time.Writing the course involved generating many new illustrations, in the form of both line drawings and visualization screenshots and, wi- ing to get maximum mileage out of this e?ort, the idea of writing a book to accompany the course came about.At the University of Hull, our practical visualization teaching is based on IRIS Explorer, an application builder-type package from NAG Ltd. Ori- nally this book was to have been both an introduction to visualization and a handbook for beginners in IRIS Explorer, with ‘virtual laboratories’ running throughout it to illustrate certain points.Following comments from revi- ers, however, its emphasis has changed.
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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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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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What is better: Retail trade or wholesale and foreign trade?
The choice between retail trade and wholesale and foreign trade depends on various factors such as business goals, target market, and resources. Retail trade involves selling products directly to consumers, allowing for higher profit margins but requiring more marketing efforts. On the other hand, wholesale and foreign trade involve selling products in bulk to other businesses or overseas markets, offering lower profit margins but potentially higher sales volume. Ultimately, the better option would depend on the specific needs and objectives of the business.
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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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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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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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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.
Price: 61.99 £ | Shipping*: 0.00 £
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What is better: Retail trade or Wholesale and Foreign trade?
The answer to whether retail trade or wholesale and foreign trade is better depends on various factors such as the specific business goals, target market, and resources available. Retail trade involves selling products directly to consumers, allowing for higher profit margins but also requiring more marketing and customer service efforts. On the other hand, wholesale and foreign trade involve selling products in bulk to other businesses or overseas markets, offering the potential for larger sales volumes but with lower profit margins. Ultimately, the best choice would depend on the individual business's strengths, market opportunities, and long-term objectives.
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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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What is the difference between online commerce and retail commerce?
Online commerce refers to the buying and selling of goods and services over the internet, while retail commerce refers to the traditional brick-and-mortar stores where customers can physically visit and make purchases. Online commerce offers the convenience of shopping from anywhere at any time, while retail commerce provides the opportunity for customers to see, touch, and try products before making a purchase. Online commerce often involves lower overhead costs and can reach a wider audience, while retail commerce provides a more personalized and immediate shopping experience.
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