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

Line charts

Line charts are commonly used for visualizing time-series data, that is, data that changes over time. Their main purpose is to identify a trend in continuous data. Some examples could be to visualize the following:

  • Population trends over time
  • Sensor readings from manufacturing equipment
  • Sales/production data over time

In fact, line charts are also one of the most commonly used visualizations for streaming (live) data. Streaming data was introduced in Spotfire X, and will be covered further in Chapter 12, Scaling the Infrastructure; Keeping Data up to Date:

  • Good for visualizing: Time-series data, or data where one variable changes in response to another.
  • Don't use for: Visualizing lots and lots of time series simultaneouslyyou'll get a very confused picture of the data! Please don't use line charts with a categorical x-axis (unless that category...