Learning Tableau : leverage the power of Tableau 9.0 to design rich data visualizations and build fully interactive dashboards /

If you want to understand your data using data visualization and don't know where to start, then this is the book for you. Whether you are a beginner or have years of experience, this book will help you to quickly acquire the skills and techniques used to discover, analyze, and communicate data...

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Bibliographic Details
Main Author: Milligan, Joshua N. (Author)
Format: Book
Language:English
Published: Birmingham, England : Packt Publishing, 2015
Edition:1st edition
Series:Community experience distilled
Subjects:
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100 1 |a Milligan, Joshua N.,  |e author 
245 1 0 |a Learning Tableau :  |b leverage the power of Tableau 9.0 to design rich data visualizations and build fully interactive dashboards /  |c Joshua N. Milligan 
246 3 0 |a Leverage the power of Tableau 9.0 to design rich data visualizations and build fully interactive dashboards 
250 |a 1st edition 
264 1 |a Birmingham, England :  |b Packt Publishing,  |c 2015 
264 4 |c ©2015 
300 |a 1 online resource (340 p.) 
336 |a text  |b txt 
337 |a computer  |b c 
338 |a online resource  |b cr 
347 |a text file 
490 1 |a Community Experience Distilled 
500 |a Includes index 
505 0 |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Creating Your First Visualizations and Dashboard; Connecting to data in Access; Foundations for building visualizations; Visualizing data; Bar charts; Extending bar charts for deeper analysis; Line charts; Extending line charts for deeper analysis; Geographic visualizations; Filled maps; Symbol maps; Using Show Me; Bringing everything together in a dashboard; Building your dashboard; Summary; Chapter 2: Working with Data in Tableau; The Tableau paradigm; A simple example 
505 8 |a Box and whisker plotsHistograms; Visualizing multiple axes to compare different measures; Scatterplots; Dual axis; Combination charts; Summary; Chapter 4: Using Row-level and Aggregate Calculations; Creating and editing calculations; Three levels of calculation; A row-level example; An aggregate-level example; Row-level or aggregate - why does it matter?; Parameters; Creating parameters; Practical examples of calculations and parameters; Fixing data issues; Extending the data; Enhancing user experience, analysis, and visualizations; Achieving flexibility with data blends; Ad hoc calculations 
505 8 |a Connecting to dataConnecting to data in a file; Connecting to data on a server; Connecting to data in the cloud; Shortcuts for connecting to data; Working with extracts instead of live connections; Creating extracts; Using extracts; Performance; Portability and security; When to use an extract; Metadata and sharing data source connections; Customizing a data source; Sharing a data source; An example of customizing and sharing a connection; Joins and blends; Joining tables; Blending data sources; A blending example; Filtering data; Filtering discrete (blue) fields 
505 8 |a Field-level formatting 
505 8 |a Filtering continuous (green) fieldsFiltering dates; Other filtering options; Summary; Chapter 3: Moving from Foundational to Advanced Visualizations; Comparing values across different dimensions; Bar charts; Bar chart variations; Bullet charts - showing progress toward a goal; The bar-in-bar chart; Highlighting a single category; Visualizing dates and times; The built-in date hierarchy; Variations in date and time visualizations; Gantt charts; Relating parts of the data to the whole; Stacked bars; Treemaps; Area charts; Pie charts; Visualizing distributions; Circle charts; Jittering 
505 8 |a Performance considerationsSummary; Chapter 5: Table Calculations; An overview of table calculations; Creating and editing table calculations; Quick table calculations; Scope and direction; Working with scope and direction; Addressing and partitioning; Advanced addressing and partitioning; Advanced table calculations; Practical examples; Moving Average; Ranking within higher levels; Late filtering; Last occurrence; Summary; Chapter 6: Formatting a Visualization to Look Great and Work Well; Formatting considerations; How formatting works in Tableau; Worksheet-level formatting 
520 |a If you want to understand your data using data visualization and don't know where to start, then this is the book for you. Whether you are a beginner or have years of experience, this book will help you to quickly acquire the skills and techniques used to discover, analyze, and communicate data visually. Some familiarity with databases and data structures is helpful, but not required 
546 |a English 
588 |a Description based on online resource; title from PDF title page (ebrary, viewed May 16, 2015) 
630 0 0 |a Tableau (Computer file) 
650 0 |a Information visualization 
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776 |z 1-78439-434-3 
830 0 |a Community experience distilled 
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