Learning Tableau : leverage the power of Tableau 9.0 to design rich data visualizations and build fully interactive dashboards /
Annotation
Saved in:
| Online Access: |
Full text (MCPHS users only) |
|---|---|
| Main Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham, UK :
Packt Publishing,
2015
|
| Series: | Community experience distilled.
|
| Subjects: |
Table of Contents:
- 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
- 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
- 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
- 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
- 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
