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TIBCO Spotfire: A Comprehensive Primer

You're reading from   TIBCO Spotfire: A Comprehensive Primer Create innovative enterprise-class informatics solutions using TIBCO Spotfire

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Product type Paperback
Published in Feb 2015
Publisher Packt
ISBN-13 9781782176404
Length 348 pages
Edition 1st Edition
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Author (1):
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Michael Phillips Michael Phillips
Author Profile Icon Michael Phillips
Michael Phillips
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Table of Contents (12) Chapters Close

Preface 1. Show Me the Data FREE CHAPTER 2. Visualize This! 3. Analyze That! 4. The Big Wide World of Spotfire 5. Source Data is Never Enough 6. The World is Your Visualization 7. What's Your Location? 8. The Secret Life of Python 9. It's All About Self-service These Days 10. Beyond the Horizon Index

Using automatic geocoding to accurately position locations from your data on a map


So, we have a map, but we'd like to start superimposing our own data onto it. Let's plot the location of the weather stations we used in Chapter 6, The World is Your Visualization, for the heat map example, and let's plot them at different levels of detail, with and without geocoding:

  1. Load the station inventory data (stationInventory.xlsx) into an analysis file, and create a map chart. You can download the data from http://www.insidespotfire.com as a Microsoft Excel or CSV file.

  2. Spotfire will automatically create a Map Layer, as we have seen already, and it will add the station inventory data as a Marker Layer. To configure the marker layer, open the map chart's visualization properties, select the Layers property, select stationInventory, and click on Settings.

  3. On the Marker Layer Settings page that opens, select Positioning. There are two ways to position your markers on the map: Geocoding and Coordinate columns...

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