Mastering Tableau 1st Edition by David Baldwin ISBN 1784397695 9781784397692

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Product details:

ISBN 10: 1784397695 
ISBN 13: 9781784397692
Author: David Baldwin

• Arm yourself with an arsenal of advanced chart types and geocoding to efficiently and engagingly present information
• Map a grid over a network node diagram and use that grid to demonstrate loads, processing time, and more in Tableau
• Integrate R with Tableau by utilizing R functions, libraries, and saved models

Mastering Tableau 1st Table of contents:

1. Getting Up to Speed – A Review of the Basics

• The Tableau universe

• Understanding the Tableau interface and basic terminology

• Worksheet and dashboard creation

• Worksheet creation

• Exercise – fundamentals of visualizations

• Beyond default behavior

• Exercise – overriding defaults

• Show Me

• Dashboard creation

• Exercise – building a dashboard

• Exercise – adding interactivity to a dashboard

• Connecting Tableau to your data

  • Excel and text files

  • Comparing Native Tableau Driver and MS Jet Driver

  • Connecting to Tableau Server

• Exercise – observing metadata differences

• Exercise – connecting to Tableau Server

• Connecting to saved data sources

• Exercise – creating a local data connection

• Measure Names and Measure Values

  • The basics

  • Exercise – Measure Names and Measure Values

  • Shortcuts

  • Exercise – Measure Names and Measure Values shortcuts

• Three essential Tableau concepts

  • Dimensions and measures

  • Row Level, Aggregate Level, and Table Level

  • Continuous and discrete

• Summary

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2. All about Data – Getting Your Data Ready

• Understanding Tableau’s data-handling engine

• The Tableau Data-Handling Engine

• Changing field attribution example

• Table calculation example

• Data-mining and knowledge-discovery process models

  • Survey of the process models

  • CRISP-DM phases

• Focusing on data preparation

• Surveying data

• Exercise – surveying data

• Exercise – extrapolating data

• Cleaning the data

• Exercise – cleaning the data

• Exercise – extracting data

• Summary

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3. All about Data – Joins, Blends, and Data Structures

• About joins

• Complex joins

• Exercise – observing join culling

• Data blending

• Order of operations for aggregating and matching

• Exercise – data blend versus left join

• Understanding joins and blends

• No dimensions from a secondary source

• Exercise – adding secondary dimensions

• Scaffolding

• Exercise – enhanced forecasting via scaffolding

• Data structures

• Exercise – adjusting data structure for different questions

• Summary

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4. All about Data – Data Densification, Cubes, and Big Data

• About data densification

• Domain completion

• Exercise – activating domain completion in crosstab

• How domain completion is useful/problematic

• Domain padding

• Exercise – domain padding using Show Empty Rows/Columns

• Working with cubes

• Exercise – using data blends for cubes

• The deprecation of cubes

• Tableau and big data

• Exercise – strategy for addressing Excel’s row limitation

• Massively parallel processing

• Exercise – visualization with Google BigQuery

• Summary

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5. Table Calculations

• Definition and key questions

• Directional and non-directional functions

• Exercises exploring table calculations (LOOKUP, TOTAL, RUNNING, WINDOW, etc.)

• Partitioning and addressing concepts

• Summary

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6. Level of Detail (LOD) Calculations

• Building playgrounds for FIXED, EXCLUDE, INCLUDE

• Exercises exploring LOD expressions

• Practical applications and problem-solving

• Summary

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7. Beyond the Basic Chart Types

• Improving popular visualizations (Bullet graphs, pies, donuts, Pareto charts)

• Exercises for each visualization type

• Custom background images and polygons

• Summary

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8. Mapping

• Extending Tableau mapping capabilities

• Exercise – routes and distances

• Connecting to WMS servers and map services (ArcGIS, Stamen, Mapbox)

• Creating custom polygons

• Shape files and conversions

• Summary

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9. Tableau for Presentations

• Exporting images and presentations

• Creating templates and dashboards for PowerPoint

• Embedding Tableau in PowerPoint

• Animations and story points dashboards

• Summary

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10. Visualization Best Practices and Dashboard Design

• Visualization design theory and formatting rules

• Color rules and psychological implications

• Visualization type rules

• Dashboard layout techniques (Golden Rectangle, Quad, Small Multiple)

• Exercises on sheet swapping, collapsible menus, tooltips

• Summary

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11. Improving Performance

• Performance Recording dashboard overview

• Hardware and on-the-fly performance techniques

• Joining vs blending data sources

• Efficient data source management

• Filters and calculation efficiency

• Additional performance considerations

• Summary

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12. Interacting with Tableau Server

• Tableau file types and server architecture

• Web authoring environment

• User filters and performance recording on Server

• Exercises on publishing, editing, and creating workbooks on Server

• Summary

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13. R Integration

• Architecture and installation of R and Rserve

• Using R functions in Tableau

• Exercises on correlation, regression, clustering, quantiles

• Troubleshooting and performance considerations

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