Book Image

Apache Superset Quick Start Guide

By : Shashank Shekhar
Book Image

Apache Superset Quick Start Guide

By: Shashank Shekhar

Overview of this book

Apache Superset is a modern, open source, enterprise-ready business intelligence (BI) web application. With the help of this book, you will see how Superset integrates with popular databases like Postgres, Google BigQuery, Snowflake, and MySQL. You will learn to create real time data visualizations and dashboards on modern web browsers for your organization using Superset. First, we look at the fundamentals of Superset, and then get it up and running. You'll go through the requisite installation, configuration, and deployment. Then, we will discuss different columnar data types, analytics, and the visualizations available. You'll also see the security tools available to the administrator to keep your data safe. You will learn how to visualize relationships as graphs instead of coordinates on plain orthogonal axes. This will help you when you upload your own entity relationship dataset and analyze the dataset in new, different ways. You will also see how to analyze geographical regions by working with location data. Finally, we cover a set of tutorials on dashboard designs frequently used by analysts, business intelligence professionals, and developers.
Table of Contents (10 chapters)

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...