Book Image

Jupyter for Data Science

By : Dan Toomey
Book Image

Jupyter for Data Science

By: Dan Toomey

Overview of this book

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations, and visualizations. This book is a comprehensive guide to getting started with data science using the popular Jupyter notebook. If you are familiar with Jupyter notebook and want to learn how to use its capabilities to perform various data science tasks, this is the book for you! From data exploration to visualization, this book will take you through every step of the way in implementing an effective data science pipeline using Jupyter. You will also see how you can utilize Jupyter's features to share your documents and codes with your colleagues. The book also explains how Python 3, R, and Julia can be integrated with Jupyter for various data science tasks. By the end of this book, you will comfortably leverage the power of Jupyter to perform various tasks in data science successfully.
Table of Contents (17 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Creating a Shiny dashboard


Shiny is a web application framework for R. It does not require the user to code HTML. There are normally two sets of code: the server and the user interface (UI). Both sets of code work on top of a Shiny server. A Shiny server can reside on one of your machines or in the cloud (via several hosting companies).

The Shiny server code set deals with accessing data, computing results, obtaining direction from the user, and interacting with other server code set to change results. The UI code set deals with layout of the presentation.

For example, if you had an application that produced a histogram of data the server set would obtain the data and produce results, display the results, and interact with the user to change the result—for example, it might change the number of buckets or range of data being displayed. The UI code set would strictly be concerned with layout.

Shiny code does not run under Jupyter. You can develop the coding using RStudio. RStudio is an integrated...