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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

Getting Started with Data Exploration

Apache Superset is a web platform for creating data visualizations and telling stories with data using dashboards. Packing visualizations in a dashboard is fun, and dashboards render updates to the visualizations in real time.

The best part is that Superset has a very interactive user experience. Programming knowledge is not required for using Superset.

Superset makes it easy to share and collaborate on data analytics work. It has user roles and permission management built into it as core components. This makes it a great choice for data analysis work collaboration between a cross functional team of data analysts, business professionals, and software engineers.

There all sorts of charts to make on Superset. Many common analytical questions on data can be addressed using the charts, which are easy to use. In this book, we will do data exploration and analysis of different types of datasets. In the process, we will try to understand different aspects of Superset.

In this chapter, we will learn about the following:

  • Datasets
  • Installing Superset
  • Sharing Superset
  • Configuring Superset
  • Adding a database
  • Adding a table
  • Creating a chart
  • Uploading a CSV file
  • Configuring a table schema
  • Customizing the visualization
  • Making a dashboard
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