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Jupyter for Data Science

You're reading from Jupyter for Data Science Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter

Product type Paperback

Published in Oct 2017

Publisher Packt

ISBN-13 9781785880070

Length 242 pages

Edition 1st Edition

Languages

Python

Tools

Jupyter

Concepts

Data Analysis

Author (1):

Dan Toomey

View More author details

Table of Contents (11) Chapters

Preface

1. Jupyter and Data Science FREE CHAPTER

2. Working with Analytical Data on Jupyter

3. Data Visualization and Prediction

4. Data Mining and SQL Queries

5. R with Jupyter

6. Data Wrangling

7. Jupyter Dashboards

8. Statistical Modeling

9. Machine Learning Using Jupyter

10. Optimizing Jupyter Notebooks

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...

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Authors (1)

Toomey

Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.

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