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Learning Julia

You're reading from   Learning Julia Build high-performance applications for scientific computing

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781785883279
Length 316 pages
Edition 1st Edition
Languages
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Authors (2):
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Rahul Lakhanpal Rahul Lakhanpal
Author Profile Icon Rahul Lakhanpal
Rahul Lakhanpal
Anshul Joshi Anshul Joshi
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Anshul Joshi
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Toc

Table of Contents (11) Chapters Close

Preface 1. Understanding Julia's Ecosystem FREE CHAPTER 2. Programming Concepts with Julia 3. Functions in Julia 4. Understanding Types and Dispatch 5. Working with Control Flow 6. Interoperability and Metaprogramming 7. Numerical and Scientific Computation with Julia 8. Data Visualization and Graphics 9. Connecting with Databases 10. Julia’s Internals

Data Visualization and Graphics

Data visualization is the representation of some sample (or complete) data in a graphical format. It forms a very important part of scientific decision-making, as data visualization not only enables us to understand the data in a more appealing and convenient way, but also proves to be a strong tool for reaching wider audiences when it comes to evaluating business decisions.

In this chapter, we will be breaking down all the components of how data visualization can be done in Julia. The following listed items are topics which we shall be covering during the course of the chapter:

  • Basic plots
  • Vega
  • Gadfly
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