Diego Javier Zea, "Interactive Visualization and Descriptionting with Julia: Create impressive data visualizations through Julia packages such as Descriptions, Makie, Gadfly, and more"
English | 2022 | ISBN: 1801810516 | EPUB | pages: 392 | 10.0 mb
Represent and analyze data using Descriptions to find actionable insights using Julia programming
Key Features:
- Learn to use static and interactive Descriptions to explore data with Julia
- Become well versed with the various Descriptionting attributes needed to customize your Descriptions
- Create insightful and appealing Descriptions using data interactions, animations, layouts, and themes
Book Description:
The Julia programming language offers a fresh perspective into the data visualization field.
Interactive Visualization and Descriptionting with Julia begins by introducing the Julia language and the Descriptions package. The book then gives a quick overview of the Julia Descriptionting ecosystem to help you choose the best library for your task. In particular, you will discover the many ways to create interactive visualizations with its packages. You'll also leverage Pluto notebooks to gain interactivity and use them intensively through this book. You'll find out how to create animations, a handy skill for communication and teaching. Then, the book shows how to solve data analysis problems using DataFrames and various Descriptionting packages based on the grammar of graphics. Furthermore, you'll discover how to create the most common statistical Descriptions for data exploration. Also, you'll learn to visualize geographically distributed data, graphs and networks, and biological data. Lastly, this book will go deeper into Description customizations with Descriptions, Makie, and Gadfly-focusing on the former-teaching you to create Description themes, arrange multiple Descriptions into a single figure, and build new Description types.
By the end of this Julia book, you'll be able to create interactive and publication-quality static Descriptions for data analysis and exploration tasks using Julia.
What You Will Learn:
- Create interactive Descriptions with Makie, Descriptions, Jupyter, and Pluto
- Create standard statistical Descriptions and visualize clustering results
- Description geographically distributed and biological data
- Visualize graphs and networks using GraphRecipes and GraphDescriptions
- Find out how to draw and animate objects with Javis, Descriptions, and Makie
- Define Description themes to reuse Description visual aspect customizations
- Arrange Descriptions using Descriptions, Makie, and Gadfly layout systems
- Define new Description types and determine how Descriptions and Makie show objects
Who this book is for:
Data analysts looking to explore Julia's data visualization capabilities will find this book helpful, along with scientists and academics who want to generate and communicate knowledge and improve their teaching material. This data visualization book will also interest Julia programmers willing to delve into the language Descriptionting ecosystem and improve their visualization skills. Basic programming knowledge is assumed - but the book will introduce you to Julia's important features. Familiarity with mathematical and statistical concepts will help you make the most of some of the chapters.
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