Kniha Visual Analytics for Dashboards Arshad Khan

Visual Analytics for Dashboards

A Step-by-Step Guide to Principles and Practical Techniques

Autor: Arshad Khan
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Springer, Berlin
Dostupnosť: Skladom u dodávateľa v malom množstve
Odosielame za 14-21 dní
23.08
This book covers the key principles, best practices, and practical techniques for designing and impl...

Informácie o knihe

Autor
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2024
Stránok
200
EAN
9798868801181
Enbook ID
44487397
Vydavateľ
Hmotnosť
340
Rozmery
155 x 235

Kompletný popis

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 dashboards.Meet all the requirements for visual analytics/data visualization/dashboard courses.Deepen understanding of data presentation and analysis.How 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.

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