TIBCO Spotfire: A comprehensive primer

Step-by-step tutorial to the creation of engaging, insightful, enterprise-class informatics solutions.

For anyone who wants to start building TIBCO Spotfire analyses, this book gives them a comprehensive grounding in the use of an industry-leading agile business intelligence (BI) platform. Starting with basic data and visualization concepts, the book takes the reader on a step-by-step journey through increasingly advanced topics toward the goal of becoming a professional analytics solution provider. The book begins by explaining key data and visualization concepts and follows with practical examples of how to get data into Spotfire and start using its visualization features. By sequentially working through the illustrated tutorials in each chapter, you will learn when and how to use all of Spotfire's visualization types, how to transform and dimensionally model data, how to build sophisticated user interactivity frameworks using text areas and property controls, how to build spatial analytics using Spotfire's powerful map chart, how to access the Spotfire API directly using python scripts, and how to administer and navigate the Spotfire environment. The book finishes with a case study in self-service BI. By the time you finish, you will not only have a solid foundation in Spotfire, you will be equipped to reflect on and contribute to the demand for more agile, self-service business intelligence.

chapter 11

Show me the data
Adding data to Spotfire from files | Key Data Concept: Basic row/column structure of a data table | Key Data Concept: Date types | Using the inbuilt filters in Spotfire | Key Data Concept: Data relationships | Linking data in Spotfire | Connecting directly to a database | Key Data Concept: Data queries
chapter 22

Visualize this!
Displaying information quickly in tabular form | Enriching your visualizations with color categorization | Visualizing categorical information using bar charts | Dividing a visualization across a trellis grid | Key Spotfire Concept: Marking | Visualizing trends using line charts | Visualizing proportions using pie charts | Visualizing relationships using scatter plots | Visualizing hierarchical relationships using tree maps | Key Spotfire Concept: Filters | Enhancing tabular presentations using graphical tables.
chapter 33

Analyze that!
Framing your analysis using text areas | Key Spotfire Concept: Document Properties | Increasing interactivity using property controls | Providing summary information at a glance | Customizing the filter panel | Getting details on marked items | Annotating data using tags and lists | Creating analysis snapshots using bookmarks.
chapter 44

The big wide world of Spotfire
Overview of Spotfire components and architecture | A quick guide to Administration Manager | Using the Library Administration interface | A quick tour of the Information Designer | An overview of Spotfire Analyst (formerly Professional Client) | An overview of Spotfire Consumer (formerly Web Player) | An overview of Spotfire Business Author (new with version 6.5) | Automating tasks using Automation Services | An overview of system monitoring tools.
chapter 55

Source data is never enough
Creating metrics using calculated columns | Using the Data Panel tool | Key Data Concept: Dimensional hierarchies | Adding dimensionality to your data by defining hierarchies | Categorizing continuous numerical data using binning functions | Slicing and dicing data using hierarchy nodes | Merging data from multiple sources | Key Data Concept: narrow tables versus wide tables | Transforming data structure through pivots and unpivots | Using Spotfire's Information Designer | Optimizing complex data manipulations using in-database analytics.
chapter 66

The world is your visualization
Applying custom expressions directly to visualization properties | Key Spotfire Concept: Difference between calculated columns and custom expressions | Annotating visualizations with reference lines, fitted curves, and error bars | Defining color rules and organizing document color schemes | Slicing and dicing visualizations using hierarchy nodes | Mashing up data from different tables in a single visualization | Creating dynamic pivots using cross tables | Visualizing categorical information and trends together in combination charts | Visualizing statistical measures using box and whisker plots | Summarizing statistical measures using summary tables | Visualizing complex multidimensional data using heat maps | Profiling data using parallel coordinate plots | Exporting and publishing data and visualizations.
chapter 77

What's your location?
Creating background map layers | Key Spotfire concept: map chart layers | Key mapping concept: coordinate reference systems | Using automatic geocoding to accurately position locations from your data on a map | Incorporating and using a feature layer | Adding Web Map Service data to a map chart | Using the map chart for nongeographic spatial analysis.
chapter 88

The secret life of python
Introduction to IronPython | Overview of the Spotfire API | Some useful .NET assemblies | Creating scripts | Referencing and manipulating the primary elements in an analysis file | Manipulating visualzation properties | Manipulating color | Manipulating filters | Manipulating data already loaded into Spotfire | Adding data to an analysis.
chapter 99

It's all about self-service these days
Building a guided analysis | Key Data Concept: Metadata | Incorporating configurable business rules into your analysis | A metadata-driven self-service analytics case study.
chapter 1010

Beyond the horizon
TIBCO Enterprise Runtime for R | JavaScript | TIBCO Spotfire Mobile Metrics | Event analytics | Spotfire data connectors | TIBCO Spotfire Advanced Data Services.