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)

Comparison – relationship between feature values

Let's say we are curious about a trend where the time taken to read a book increases with respect to the page count.

Books often have a gripping effect on a reader, once they find them interesting. So, we cannot expect the number of pages to proportionately grow with the number of days taken to read a book, because books that the reader finds gripping will be read at a faster pace than others. In any dataset, there are samples that are noisy and hard to explain. In this dataset, we will find that some books with lower page counts take more days to finish than books with higher page counts.

It will be useful to look at the number of samples we have available for each group, defined by number of reading days. Select COUNT(*) as Metrics to plot the number_of_books read:

Defining the reading capacity for each group of...