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)

Datasets

Data on bilateral trade flowing between nations fits right into the definition of a dataset with entities and relationships to explore. Katherine Barbieri, University of South Carolina, and Omar Keshk, Ohio State University, maintain a dataset that tracks the flow of trade between nations between 1870 and 2017. Amounts are converted to their equivalent US dollar values as of 2014.

The dataset is available publicly as part of The Correlates of War Project. Here is the link to the project: http://www.correlatesofwar.org/data-sets/bilateral-trade. We will be using version 4.0 of this dataset in this chapter.

The IMF's Direction of Trade Statistics (DOTS) quarterly release shares trade data between nations and is a source from which the project aggregates data. It is important to specify that DOTS includes only the trade value of merchandise (or ready-to-sell goods)...