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Diego Javier Zea - Interactive Visualization and Plotting with Julia: Create impressive data visualizations through Julia packages such as Plots, Makie, Gadfly, and more

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Diego Javier Zea Interactive Visualization and Plotting with Julia: Create impressive data visualizations through Julia packages such as Plots, Makie, Gadfly, and more
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Interactive Visualization and Plotting with Julia: Create impressive data visualizations through Julia packages such as Plots, Makie, Gadfly, and more: summary, description and annotation

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Represent and analyze data using Plots to find actionable insights using Julia programming

Key Features
  • Learn to use static and interactive plots to explore data with Julia
  • Become well versed with the various plotting attributes needed to customize your plots
  • Create insightful and appealing plots 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 Plotting with Julia begins by introducing the Julia language and the Plots package. The book then gives a quick overview of the Julia plotting 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. Youll also leverage Pluto notebooks to gain interactivity and use them intensively through this book. Youll 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 plotting packages based on the grammar of graphics. Furthermore, youll discover how to create the most common statistical plots for data exploration. Also, youll learn to visualize geographically distributed data, graphs and networks, and biological data. Lastly, this book will go deeper into plot customizations with Plots, Makie, and Gadflyfocusing on the formerteaching you to create plot themes, arrange multiple plots into a single figure, and build new plot types.

By the end of this Julia book, youll be able to create interactive and publication-quality static plots for data analysis and exploration tasks using Julia.

What you will learn
  • Create interactive plots with Makie, Plots, Jupyter, and Pluto
  • Create standard statistical plots and visualize clustering results
  • Plot geographically distributed and biological data
  • Visualize graphs and networks using GraphRecipes and GraphPlots
  • Find out how to draw and animate objects with Javis, Plots, and Makie
  • Define plot themes to reuse plot visual aspect customizations
  • Arrange plots using Plots, Makie, and Gadfly layout systems
  • Define new plot types and determine how Plots and Makie show objects
Who this book is for

Data analysts looking to explore Julias 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 plotting ecosystem and improve their visualization skills. Basic programming knowledge is assumed but the book will introduce you to Julias important features. Familiarity with mathematical and statistical concepts will help you make the most of some of the chapters.

Table of Contents
  1. An Introduction to Julia for Data Visualization and Analysis
  2. The Julia Plotting Ecosystem
  3. Getting Interactive Plots with Julia
  4. Creating Animations
  5. Introducing the Grammar of Graphics
  6. Creating Statistical Plots
  7. Visualizing Graphs
  8. Visualizing Geographically Distributed Data
  9. Plotting Biological Data
  10. The Anatomy of a Plot
  11. Defining Plot Layouts to Create Figure Panels
  12. Customizing Plot Attributes Axes, Legends, and Colors
  13. Designing Plot Themes
  14. Designing Your Own Plots Plot Recipes

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Interactive Visualization and Plotting with Julia

Create impressive data visualizations through Julia packages such as Plots, Makie, Gadfly, and more

Diego Javier Zea

BIRMINGHAMMUMBAI Interactive Visualization and Plotting with Julia Copyright - photo 2

BIRMINGHAMMUMBAI

Interactive Visualization and Plotting with Julia

Copyright 2022 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Publishing Product Manager: Devika Battike

Senior Editor: Nazia Shaikh

Content Development Editor: Manikandan Kurup

Technical Editor: Rahul Limbachiya

Copy Editor: Safis Editing

Project Coordinator: Farheen Fathima

Proofreader: Safis Editing

Indexer: Hemangini Bari

Production Designer: Roshan Kawale

Marketing Coordinator: Priyanka Mhatre

First published: August 2022

Production reference: 1290722

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham

B3 2PB, UK.

ISBN 978-1-80181-051-7

www.packt.com

I dedicate this book to my family, especially Elin and Gal, who have been close to me during the journey, making it possible. And to the Julia community and their open source developers who do their best to make Julia grow.

Contributors
About the author

Diego Javier Zea is a contributor to the Julia Plots ecosystem and developer of MIToS, a Julia package for studying protein sequence and structure in the Julia language. He holds a Ph.D. in bioinformatics and has worked as a postdoctoral researcher at the Leloir Institute Foundation in Buenos Aires and Sorbonne Universit and Musum National d'Histoire Naturelle in Paris. He is now an Assistant Professor at Universit Paris-Saclay, studying protein structure, interactions, and evolution.

About the reviewer

Ronan Arraes Jardim Chagas received a B.Sc. degree in control and automation engineering from the University of Braslia (UnB), Brazil, in 2008, and a Ph.D. in systems and control from the Aeronautics Institute of Technology (ITA), Brazil, in 2012. Since 2013, he has been with the National Institute for Space Research (INPE) as a Space Systems Engineer. He was the mission architect and technical manager of the attitude and orbit control subsystem of the Amazonia-1 satellite. During this project, he used the Julia language to perform numerous analyses, creating important tools such as the package SatelliteToolbox.jl. His main research interests include signal processing, space systems, attitude and orbit control, and artificial intelligence.

Table of Contents
Preface

Plotting and visualizing data is an everyday skill for researchers and data scientists that is helpful for discovering and communicating insights. Additionally, adding interactivity to our visualization tasks enhances data exploration steps. At the same time, interactive visualizations and animations allow us to share more compelling stories from data. This book will teach you how to perform such tasks using the Julia programming language and the packages in its ecosystem.

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