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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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Toc

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

To get the most out of this book

This book will make a great choice for collaborative data analysis work within a cross-functional team of data analysts, business professionals, and software engineers.

Many common analytical questions on data can be addressed using the charts, which are easy to use.

A working knowledge of Python will be an advantage but is not necessary to understand this book.

Download the example code files

You can download the example code files for this book from your account at www.packt.com. If you purchased this book elsewhere, you can visit www.packt.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

  1. Log in or register at www.packt.com.
  2. Select the SUPPORT tab.
  3. Click on Code Downloads & Errata.
  4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

  • WinRAR/7-Zip for Windows
  • Zipeg/iZip/UnRarX for Mac
  • 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Superset-Quick-Start-Guide. In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

Download the color images

Conventions used

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "Our datasets will be public tables from Google BigQuery and .csv files from a variety of web resources, which we will upload to PostgreSQL."

A block of code is set as follows:

export SUPERSET_UPDATE_PERMS=0 
gunicorn -w 3
-k gevent
--timeout 120
-b 0.0.0.0:8088
superset:app

Any command-line input or output is written as follows:

sudo apt-get install build-essential libssl-dev libffi-dev python-dev python-pip libsasl2-dev libldap2-dev

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "After launching, on the VM instances screen, we can see that our g1-small GCE instance is up and running!"

Warnings or important notes appear like this.
Tips and tricks appear like this.
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