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)

Scatter point

After uploading the airports_modified.csv file from the GitHub directory, open the table and select the - Scatter plot chart. In the Query section, select Longitude | Latitude as the coordinates. This dataset contains the locations of all airports across the globe. We will be plotting a point for each airport on the world map.

In the Point Size section, set 1000 as the Point Size so that each airport location is visible. Using Dark as the Map Style and discernible colors for showing country-wise color scheme, we will make the chart easy to understand:

Setting the parameters for plotting a point to each airport on the world map

This is how the scatter points will appear:

In 2017, we can see a world with regions that have significantly different densities...