Products related to Data:
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Interactive Visual Data Analysis
In the age of big data, being able to make sense of data is an important key to success.Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data. The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods.It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes.The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data.A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways.Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis.The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis. The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology.Many real-world examples and rich illustrations make the book accessible to a broad interdisciplinary audience from students, to experts in the field, to practitioners in data-intensive application domains. Features:Dedicated to the synthesis of visual, interactive, and analysis methodsSystematic top-down view on visualization, interaction, and automatic analysisBroad coverage of fundamental and advanced visualization techniquesComprehensive chapter on interacting with visual representationsExtensive integration of automatic computational methodsAccessible portrayal of cutting-edge visual analytics technologyForeword by Jack van WijkFor more information, you can also visit the author website, where the book's figures are made available under the CC BY Open Access license.
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Whimsical Girls : Fun Inspiration and Instant Creative Gratification
Reclaim your creativity with this one-of-a-kind workbook of fabulous females to personalize!It’s perfect for coloring enthusiasts and mixed-media artists.  This is not your typical coloring book. Created by celebrated artist Jane Davenport, and dedicated solely to images of women, Whimsical Girls is bursting with Jane’s signature-style figures, faces, and fanciful drawings to color and customize.The unusual combination of four types of high-quality paper—coloring, marker, watercolor, and kraft paper—encourages users to experiment with a variety of mediums and techniques.Inspirational examples and prompts help allay budding artists’ nervousness, while bonus stickers and brilliantly hued collage paper—to cut or tear and glue to the pages—provide added fuel for creativity!
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New Playful Data : Graphic Design and Illustration for Infographics
New Playful Data: Graphic Design and Illustration for Infographics features brilliant and illustrative infographic projects from gifted graphic designers, illustrators, artists, and even scientists.Not only do they visualize data in a tangible and memorable way through playful illustrations, but they also provide us with inspiration for balancing colors, words, and images, as well as for distinguishing between primary and secondary information when data is presented alongside pictures.The projects revealed in this volume are divided into three main categories: statistical findings, flow diagrams, and instruction and explanation.Some of the projects illustrate data acquired from rigorous and precise scientific research, while others are the product of designers’ imagination and experimentation.It’s time to learn to play with data!
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Understanding Quantitative Data in Educational Research
This book is designed to help you gain confidence in analysing and interpreting quantitative data and using appropriate statistical tests, by exploring, in plain language, a variety of data analysis methods. Highly practical, each chapter includes step-by-step instructions on how to run specific statistical tests using R, practical tips on how to interpret results correctly and exercises to put into practice what you have learned. It also includes guidance on how to use R and RStudio, how to visualise quantitative data, and the fundamentals of inferential statistics, estimations and hypothesis testing.
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The Handbook of Creative Data Analysis
Creative research methods for data generation have expanded over recent decades and researchers are eager to take a creative approach to data analysis. It is challenging to bring creativity into data analysis while retaining a systematic, rigorous, and ethical approach.Written by experts in the field, this handbook addresses these challenges.The chapters adapt analytical techniques in creative ways for novice and expert researchers.Existing and novel methods from analysis of quantitative data to embodied, performative, visual, written, arts-based, and collaborative analysis are featured with case examples that are transferable across disciplines. This collection offers a definitive practical guide to creative data analysis.
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Playful Methods : Engaging the Unexpected in Literacy Research
This book introduces three new subjects to the context of literacy research—play, the imaginary, and improvisation—and proposes how to incorporate these important concepts into the field as research methods in order to engage people, materials, spaces, and imaginaries that are inherent in every research encounter.Grounded in cutting-edge theory, chapters are structured around lived narratives of research experiences, demonstrating key practices for unsettling and expanding the ways people interact, behave, and construct knowledge.Through an exploration of difference, play, and the imaginary, authors Medina, Perry, and Wohlwend present an active set of practices that acknowledges and attends to the global, fragmented, politicized contexts in literacy research.This book provides researchers and literacy education scholars with rich and clear theoretical foundations and practical tools to engage in literacy research in ethical, creative, and responsive ways.The authors invite readers to play by exploring the ways in which pedagogical, research, artistic, and other creative contexts can be sites to examine identity, plurality, and difference.Chapters feature innovative elements such as author dialogues that make visible how the authors engage with the ideas they present; guiding questions to prompt reflection and conversation; playful invitations to share possibilities of play in real-world contexts; and stories and practices to ground the conceptual and playful inquiry.
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SLEEP : A Whimsical Word Adventure into the Imaginative World of Sleep
SLEEP captures the magic of childhood and imagination through a unique and creative perspective, revealing the whimsy of dreams through word and letter concepts that will be sure to delight readers both young and old. Once there was a girl who couldn't sleep. She had trouble catching her Zs. When she decides to follow them, she is led on an extraordinary word adventure over mountains, down waterfalls, and into caves...until she finally catches the Zs, falling asleep under the pale light of the moon.Embark on an imaginative & educational word adventure!SLEEP is perfect for:Cozy, dreamy bedtime stories Baby showers, birthdays, and holiday gifts Kids learning letter and word concepts Children who enjoy imaginative stories!
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Interactive Data Visualization : Foundations, Techniques, and Applications, Second Edition
An Updated Guide to the Visualization of Data for Designers, Users, and ResearchersInteractive Data Visualization: Foundations, Techniques, and Applications, Second Edition provides all the theory, details, and tools necessary to build visualizations and systems involving the visualization of data.In color throughout, it explains basic terminology and concepts, algorithmic and software engineering issues, and commonly used techniques and high-level algorithms.Full source code is provided for completing implementations. New to the Second EditionNew related readings, exercises, and programming projectsBetter quality figures and numerous new figuresNew chapter on techniques for time-oriented dataThis popular book continues to explore the fundamental components of the visualization process, from the data to the human viewer.For developers, the book offers guidance on designing effective visualizations using methods derived from human perception, graphical design, art, and usability analysis.For practitioners, it shows how various public and commercial visualization systems are used to solve specific problems in diverse domains.For researchers, the text describes emerging technology and hot topics in development at academic and industrial centers today. Each chapter presents several types of exercises, including review questions and problems that motivate readers to build on the material covered and design alternate approaches to solving a problem.In addition, programming projects encourage readers to perform a range of tasks, from the simple implementation of algorithms to the extension of algorithms and programming techniques. Web Resource: https://www.idvbook.com/A supplementary website includes downloadable software tools and example data sets, enabling hands-on experience with the techniques covered in the text.The site also offers links to useful data repositories and data file formats, an up-to-date listing of software packages and vendors, and instructional tools, such as reading lists, lecture slides, and demonstration programs.
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Similar search terms for Data:
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What is the difference between creative and imaginative?
Creativity involves the ability to generate new ideas, concepts, or solutions, often through the use of original thinking or artistic expression. It is the process of bringing something new into existence. On the other hand, imagination is the ability to form mental images, sensations, or concepts that are not present in one's immediate surroundings. It is the act of visualizing or conceptualizing something that is not currently real or tangible. In essence, creativity is the act of producing something new, while imagination is the act of envisioning something that may or may not exist.
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How can one make a presentation engaging and interactive?
One can make a presentation engaging and interactive by incorporating multimedia elements such as videos, images, and interactive graphics to break up the monotony of slides. Additionally, incorporating audience participation through polls, Q&A sessions, and group activities can help keep the audience engaged and involved. Using storytelling and real-life examples can also make the presentation more relatable and interesting for the audience. Finally, incorporating humor and personal anecdotes can help to create a more engaging and interactive atmosphere.
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How does the processing of data differ between interactive and static applications?
The processing of data differs between interactive and static applications in several ways. In interactive applications, data processing is often ongoing and dynamic, as the application responds to user input in real-time. This requires constant interaction with the data, updating and manipulating it as the user interacts with the application. On the other hand, static applications typically process data in a one-time, pre-determined manner, as the data is presented to the user without any further interaction or manipulation. This means that the processing of data in static applications is often more straightforward and does not require ongoing updates or changes based on user input.
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Does the Creative Cloud run on a laptop with this data?
Yes, the Creative Cloud can run on a laptop with the specified data. The laptop meets the minimum system requirements for running Creative Cloud applications, including a 2 GHz or faster processor, at least 8GB of RAM, and a display with a resolution of 1280x800 or higher. As long as the laptop meets these requirements and has a stable internet connection for accessing the Creative Cloud services, it should be able to run the software effectively.
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Do active mobile data consume data volume?
Yes, active mobile data does consume data volume. When your mobile data is turned on and you are using apps, browsing the internet, streaming videos, or downloading files, data is being consumed from your data plan. It is important to monitor your data usage to avoid exceeding your data limit and potentially incurring extra charges from your mobile service provider.
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Do activated mobile data consume data volume?
Yes, activated mobile data does consume data volume. When mobile data is turned on, it allows your device to connect to the internet using your cellular network, and any data used during this connection will be deducted from your data plan. Activities such as browsing the web, streaming videos, or using apps that require an internet connection will all consume data volume when mobile data is activated. It's important to monitor your data usage to avoid exceeding your plan's limits and incurring additional charges.
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What are master data and transactional data?
Master data refers to the core data entities of an organization, such as customer, product, employee, and supplier information. This data is typically static and does not change frequently. Master data is used as a reference point for transactional data. On the other hand, transactional data refers to the detailed records of day-to-day business activities, such as sales orders, purchase orders, invoices, and payments. This data is dynamic and changes frequently as business transactions occur. Transactional data is used to track and record the specific activities and events within an organization.
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Is data volume the same as mobile data?
No, data volume and mobile data are not the same. Data volume refers to the amount of data being used or transferred, which can include various types of data such as text, images, videos, etc. On the other hand, mobile data specifically refers to the internet data that is used on a mobile device, typically through a cellular network. Mobile data is a subset of data volume, as data volume can also include data used on other devices or networks.
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