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101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aVisual Analytics for Dashboards $eA Step-by-Step Guide to Principles and Practical Techniques /$fby Arshad Khan
205   $a1st ed. 2024.
210  1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2024.
215   $a1 online resource (188 pages)
300   $aDescription based upon print version of record.
300   $aData Requirements
311 08$aPrint version: Khan, Arshad Visual Analytics for Dashboards Berkeley, CA : Apress L. P.,c2024 9798868801181 
327   $aChapter 1: Dashboards -- Chapter 2: Scorecards -- Chapter 3: Key performance indicators -- Chapter 4: Dashboard requirements -- Chapter 5: Dashboard design -- Chapter 6: Data visualization -- Chapter 7: Visualization principles -- Chapter 8: Visual communication -- Chapter 9: Understanding and using charts -- Chapter 10: Selecting charts -- Chapter 11: Best Practices and Tips.
330   $aThis 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 learn The principles of data visualization How 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 .
606   $aQuantitative research
606   $aData Analysis and Big Data
615  0$aQuantitative research.
615 14$aData Analysis and Big Data.
676   $a1,422
676   $a005.7
700   $aKhan$b Arshad$0881847
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
912   $a9910865252203321
996   $aVisual Analytics for Dashboards$94168674
997   $aUNINA