Visual Analytics Dashboards Step by Step by Khan Arshad (2 results)

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    • Published by Apress, 2024

      • Softcover

      Seller: Books From California, Simi Valley, CA, U.S.A.Books From California

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      Condition: Used - Very good

      £ 14.42

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      paperback. Condition: Very Good. Cover and edges may have some wear.

    • Language: English

      Published by Apress, 2024

      9798868801181

      • Softcover
      • Print on Demand

      Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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      £ 46.29

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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book covers the key principles, best practices, and practical techniques for designing and implementing visually compelling dashboards. It explores the various stages of the dashboard development process, from understanding user needs and defining goals, to selecting appropriate visual encodings, designing effective layouts, and employing interactive elements. It also addresses the critical aspect of data storytelling, examining how narratives and context can be woven into dashboards to deliver impactful insights and engage audiences.Visual Analytics for Dashboards is designed to cater to a wide range of readers, from beginners looking to grasp the fundamentals of visual analytics, to seasoned professionals seeking to enhance their dashboard design skills. For different types of readers, such as a data analyst, BI professional, data scientist, or simply someone interested in data visualization, this book aims to equip them with the knowledge and tools necessary to create impactful dashboards.What you'll learnThe principles of data visualizationHow to create effective dashboardsMeet all the requirements for visual analytics/data visualization/dashboard coursesDeepen understanding of data presentation and analysisHow to use different kinds of tools for data analysis, such as scorecards and key performance indicatorsWho This Book Is ForBusiness analysts, data analysts, BI professionals, end-users, executives, developers, as well as students in dashboards, data visualizations, and visual analytics courses.