| Description |
1 online resource : illustrations |
| Note |
Previous edition published: 2016. |
| Contents |
Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Section 1: Tableau Foundations; Chapter 1: Taking Off with Tableau; The cycle of analytics; Connecting to data; Foundations for building visualizations; Measures and dimensions; Discrete and continuous fields; Discrete fields; Continuous fields; Visualizing data; Bar charts; Iterations of bar charts for deeper analysis; Line charts; Iterations of line charts for deeper analysis; Geographic visualizations; Filled maps; Symbol maps; Density maps; Using Show Me |
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Putting everything together in a dashboardThe Dashboard interface; Building your dashboard; Summary; Chapter 2: Working with Data in Tableau; The Tableau paradigm; A simple example; Connecting to data; Connecting to data in a file; Connecting to data on a server; Connecting to data in the cloud; Shortcuts for connecting to data; Managing data source metadata; Working with extracts instead of live connections; Creating extracts; Using extracts; Performance; Portability and security; When to use an extract; Tableau file types; Joins and blends; Joining tables; Cross database joins |
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Blending data sourcesA blending example; Filtering data; Filtering discrete (blue) fields; Filtering continuous (green) fields; Filtering dates; Other filtering options; Summary; Chapter 3: Venturing on to Advanced Visualizations; Comparing values; Bar charts; Bar chart variations; Bullet chart -- comparing to a goal, target, or threshold; Bar-in-bar chart; Highlighting categories of interest; Visualizing dates and times; Date parts, date values, and exact dates; Variations of date and time visualizations; Gantt Charts; Relating parts of the data to the whole; Stacked bars; Treemaps |
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Area chartsPie charts; Visualizing distributions; Circle charts; Jittering; Box and whisker plots; Histograms; Visualizing multiple axes to compare different measures; Scatterplot; Dual axis and combination charts; Summary; Section 2: Leveraging the Full Power of Tableau; Chapter 4: Starting an Adventure with Calculations; Introduction to calculations; Creating and editing calculations; Additional functions and operators; Four main types of calculations; Example data; Row-level calculations; Aggregate-level calculations; Why the row-level/aggregate-level difference matters |
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Level of detail calculationsLevel of detail syntax; Level of detail types; FIXED; INCLUDE; EXCLUDE; Level of detail example; Parameters; Creating parameters; Practical examples of calculations and parameters; Fixing data issues; Extending the data; Enhancing user experience, analysis, and visualizations; Ad hoc calculations; Performance considerations; Summary; Chapter 5: Diving Deep with Table Calculations; An overview of Table Calculations; Creating and editing Table Calculations; Quick Table Calculations; Relative versus fixed; Scope and direction; Working with scope and direction |
| Summary |
Tableau 2019 is the gold standard of business intelligence and visual analytics. It empowers rapid data visualization and advanced analytics with charts, graphs, dashboards, and powerful analytic tools. This book lays a strong foundation of the Tableau paradigm and builds to advanced topics, including Tableau Prep, to make you an expert. |
| Subject |
Tableau (Computer file)
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Tableau (Computer file) |
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Information visualization.
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Business intelligence -- Computer programs.
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Visualisation de l'information. |
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Information visualization |
| Other Form: |
Print version: Milligan, Joshua N. Learning Tableau 2019 : Tools for Business Intelligence, Data Prep, and Visual Analytics, 3rd Edition. Birmingham : Packt Publishing Ltd, ©2019 9781788839525 |
| ISBN |
1788838742 |
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1788839528 |
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9781788839525 |
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9781788838740 (electronic bk.) |
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