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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.
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:
Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:
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!
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: https://www.packtpub.com/sites/default/files/downloads/9781788992244_ColorImages.pdf.
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!"
