Book Image

TIBCO Spotfire: A Comprehensive Primer. - Second Edition

By : Andrew Berridge, Michael Phillips
Book Image

TIBCO Spotfire: A Comprehensive Primer. - Second Edition

By: Andrew Berridge, Michael Phillips

Overview of this book

The need for agile business intelligence (BI) is growing daily, and TIBCO Spotfire® combines self-service features with essential enterprise governance and scaling capabilities to provide best-practice analytics solutions. Spotfire is easy and intuitive to use and is a rewarding environment for all BI users and analytics developers. Starting with data and visualization concepts, this book takes you on a journey through increasingly advanced topics to help you work toward becoming a professional analytics solution provider. Examples of analyzing real-world data are used to illustrate how to work with Spotfire. Once you've covered the AI-driven recommendations engine, you'll move on to understanding Spotfire's rich suite of visualizations and when, why and how you should use each of them. In later chapters, you'll work with location analytics, advanced analytics using TIBCO Enterprise Runtime for R®, how to decide whether to use in-database or in-memory analytics, and how to work with streaming (live) data in Spotfire. You'll also explore key product integrations that significantly enhance Spotfire's capabilities.This book will enable you to exploit the advantages of the Spotfire serve topology and learn how to make practical use of scheduling and routing rules. By the end of this book, you will have learned how to build and use powerful analytics dashboards and applications, perform spatial analytics, and be able to administer your Spotfire environment efficiently
Table of Contents (18 chapters)
Free Chapter
1
Section 1: Introducing Spotfire
6
Section 2: Spotfire In Depth
12
Section 3: Databases, Scripting, and Scaling Spotfire

Creating metrics using calculated columns

Probably the most fundamental and useful data manipulation tool provided by Spotfire is the ability to create calculated columns in data tables. A calculated column is created by writing an expression that references other columns in the table, document property values, and values that you supply, or hard code. The expression can be a simple piece of arithmetic, such as dividing one column by another to get a proportion, or a more complex piece of conditional logic. Once created, a calculated column can be used exactly like any other column.

Important note: You can use expressions for calculations in calculated columns, or you can use them within visualizations (for example, for axis expressions). Calculated column expressions DO NOT recalculate based on filtering. However, expressions that are used in a visualization DO recalculate based...