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

Product type Paperback

Published in Dec 2018

Publisher

ISBN-13 9781788992244

Length 188 pages

Edition 1st Edition

Languages

Python

Tools

Apache Superset

Concepts

Business Intelligence

Author (1):

Shashank Shekhar

View More author details

Table of Contents (10) Chapters

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

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Mapbox access token

The MAPBOX_API_KEY variable needs to be defined because we will use Mapbox visualizations in Superset charts. We need to get a Mapbox access token using the guidelines available here: https://www.mapbox.com/help/how-access-tokens-work/.

After you have obtained it, set the MAPBOX_API_KEY variable to the valid access token value.

You have been reading a chapter from

Apache Superset Quick Start Guide

Published in: Dec 2018

Publisher:

ISBN-13: 9781788992244

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Authors (1)

Shekhar

Shashank Shekhar is a data analyst and open source enthusiast. He has contributed to Superset and pymc3 (the Python Bayesian machine learning library), and maintains several public repositories on machine learning and data analysis projects of his own on GitHub. He heads up the data science team at HyperTrack, where he designs and implements machine learning algorithms to obtain insights from movement data. Previously, he worked at Amino on claims data. He has worked as a data scientist in Silicon Valley for 5 years. His background is in systems engineering and optimization theory, and he carries that perspective when thinking about data science, biology, culture, and history.

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