Book Image

Jupyter Cookbook

By : Dan Toomey
Book Image

Jupyter Cookbook

By: Dan Toomey

Overview of this book

Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share, scientific applications. The book starts with recipes on installing and running the Jupyter Notebook system on various platforms and configuring the various packages that can be used with it. You will then see how you can implement different programming languages and frameworks, such as Python, R, Julia, JavaScript, Scala, and Spark on your Jupyter Notebook. This book contains intuitive recipes on building interactive widgets to manipulate and visualize data in real time, sharing your code, creating a multi-user environment, and organizing your notebook. You will then get hands-on experience with Jupyter Labs, microservices, and deploying them on the web. By the end of this book, you will have taken your knowledge of Jupyter to the next level to perform all key tasks associated with it.
Table of Contents (17 chapters)
Title Page
Copyright and Credits
Packt Upsell

Chapter 4. Visualizing Your Analytics

In this chapter, we will cover the following recipes:

  • Generating a line graph using Python
  • Generating a histogram using Python
  • Generating a density map using Python
  • Plotting 3D data using Python
  • Presenting a user-interactive graphic using Python
  • Visualizing with R
  • Generating a regression line of data using R
  • Generating an R lowess line graph
  • Producing a Scatter plot matrix using R
  • Producing a bar chart using R
  • Producing a word cloud using R
  • Visualizing with Julia
  • Drawing a Julia scatter diagram of iris data using Gadfly
  • Drawing a Julia histogram using Gadfly
  • Drawing a Julia line graph using the Winston package