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Apache Superset Quick Start Guide

You're reading from   Apache Superset Quick Start Guide Develop interactive visualizations by creating user-friendly dashboards

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Product type Paperback
Published in Dec 2018
Publisher
ISBN-13 9781788992244
Length 188 pages
Edition 1st Edition
Languages
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Author (1):
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Shashank Shekhar Shashank Shekhar
Author Profile Icon Shashank Shekhar
Shashank Shekhar
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Table of Contents (10) Chapters Close

Preface 1. Getting Started with Data Exploration 2. Configuring Superset and Using SQL Lab FREE CHAPTER 3. User Authentication and Permissions 4. Visualizing Data in a Column 5. Comparing Feature Values 6. Drawing Connections between Entity Columns 7. Mapping Data That Has Location Information 8. Building Dashboards 9. Other Books You May Enjoy

Mapping Data That Has Location Information

Location information in datasets represents something we can relate to. It is about points existing in our world. This makes it one of the most interesting types of dataset for analysis. But it is not intuitive to view location coordinates without geographical maps. This makes the task of data analysis and the summarizing of location coordinates without a geographical map a bit of a challenge. However, services such as Mapbox and deck.gl provide a variety of apps and APIs for visualizing location information on beautiful maps.

In this chapter, we will render location data as scatter plots on maps as follows:

  • A scatter point
  • A scatter grid

Then, we will plot arcs and lines on a map:

  • Arcs
  • Path

Remember, the MAPBOX_API_KEY variable in the superset_config.py file that we wrote in the Superset configuration chapter? That API key must be...

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