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Visual Analytics for Dashboards

- A Step-by-Step Guide to Principles and Practical Techniques
Af: Arshad Khan Engelsk Paperback

Visual Analytics for Dashboards

- A Step-by-Step Guide to Principles and Practical Techniques
Af: Arshad Khan Engelsk Paperback
Tjek vores konkurrenters priser
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 indicators Who 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.
Tjek vores konkurrenters priser
Normalpris
kr 316
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
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 indicators Who 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.
Produktdetaljer
Sprog: Engelsk
Sider: 174
ISBN-13: 9798868801181
Indbinding: Paperback
Udgave:
ISBN-10: 8868801183
Udg. Dato: 30 maj 2024
Længde: 0mm
Bredde: 178mm
Højde: 254mm
Forlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Oplagsdato: 30 maj 2024
Forfatter(e): Arshad Khan
Forfatter(e) Arshad Khan


Kategori Informationsvisualisering


ISBN-13 9798868801181


Sprog Engelsk


Indbinding Paperback


Sider 174


Udgave


Længde 0mm


Bredde 178mm


Højde 254mm


Udg. Dato 30 maj 2024


Oplagsdato 30 maj 2024


Forlag Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Kategori sammenhænge