0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Interactive Visualization and Plotting with Julia

You're reading from Interactive Visualization and Plotting with Julia Create impressive data visualizations through Julia packages such as Plots, Makie, Gadfly, and more

Product type Paperback

Published in Aug 2022

Publisher Packt

ISBN-13 9781801810517

Length 392 pages

Edition 1st Edition

Languages

Julia

Tools

Jupyter

Concepts

Data Visualization

Author (1):

Diego Javier Zea

View More author details

Table of Contents (19) Chapters

Preface

1. Section 1 – Getting Started

2. Chapter 1: An Introduction to Julia for Data Visualization and Analysis FREE CHAPTER

3. Chapter 2: The Julia Plotting Ecosystem

4. Chapter 3: Getting Interactive Plots with Julia

5. Chapter 4: Creating Animations

6. Section 2 – Advanced Plot Types

7. Chapter 5: Introducing the Grammar of Graphics

8. Chapter 6: Creating Statistical Plots

9. Chapter 7: Visualizing Graphs

10. Chapter 8: Visualizing Geographically Distributed Data

11. Chapter 9: Plotting Biological Data

12. Section 3 – Mastering Plot Customization

13. Chapter 10: The Anatomy of a Plot

14. Chapter 11: Defining Plot Layouts to Create Figure Panels

15. Chapter 12: Customizing Plot Attributes – Axes, Legends, and Colors

16. Chapter 13: Designing Plot Themes

17. Chapter 14: Designing Your Own Plots – Plot Recipes

18. Other Books You May Enjoy

Further reading

The Grammar of Graphics is an extensive topic; you can learn more about the different variations of grammar by reading the following articles:

Wickham, Hadley. A layered grammar of graphics. Journal of Computational and Graphical Statistics 19.1 (2010): 3-28. https://doi.org/10.1198/jcgs.2009.07098
Satyanarayan, Arvind, et al. Vega-lite: A grammar of interactive graphics. IEEE transactions on visualization and computer graphics 23.1 (2016): 341-350. https://www.doi.org/10.1109/TVCG.2016.2599030

Munzner, Tamara. Visualization analysis and design. CRC Press, 2014, can help you learn how to choose the best marks and channels for your visualizations based on your variables.

For more information about the Julia implementations, we strongly recommend reading the documentation of your package of interest:

Gadfly: http://gadflyjl.org/stable/
AlgebraOfGraphics: http://juliaplots.org/AlgebraOfGraphics.jl/stable/
VegaLite: https://www.queryverse...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (1)

Diego Javier Zea

Diego Javier Zea

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 Université and Muséum National d'Histoire Naturelle in Paris. He is now an Assistant Professor at Université Paris-Saclay, studying protein structure, interactions, and evolution.

See other products by Diego Javier Zea

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Data Governance Handbook

Data Governance Handbook

This book provides a highly focused view of real business outcomes powered by data governance, that resonate with non-data executives such as CFOs and CEOs. You'll also find useful insights into how to implement data governance initiatives.

May 2024 13h 8m

Data Engineering with Databricks Cookbook

Data Engineering with Databricks Cookbook

This book shows you how to use Apache Spark, Delta Lake, and Databricks to build data pipelines, manage and transform data, optimize performance, and more. Additionally, you'll implement DataOps and DevOps practices, and orchestrate data workflows.

May 2024 14h 36m

Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide

Unlock the power of Azure data engineering with this certification guide, elevating your skills in data processing, storage, and security with the help of practical insights, hands-on exercises, and the latest advancements.

May 2024 18h 16m

Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

Microsoft Power BI is the most sought-after platform for BI professionals' visualization needs. Explore the latest Power BI features, future AI enhancements, and integration with other Power Platform tools via new recipes in this updated edition.

Jul 2024 19h 56m

Python Data Cleaning Cookbook

Python Data Cleaning Cookbook

The book shows you how to clean, wrangle, and view data from multiple perspectives, including dataset and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations and learn to manipulate data to get it down to a form that can be useful for making the right decisions.

May 2024 16h 12m

Microsoft Azure AI Fundamentals AI-900 Exam Guide

Microsoft Azure AI Fundamentals AI-900 Exam Guide

This AI-900 study guide will help you prepare and practice for the certification exam. You'll delve into AI workloads, ML principles, computer vision, NLP, knowledge mining, and generative AI using Azure cloud services.

May 2024 9h 36m

Using Stable Diffusion with Python

Using Stable Diffusion with Python

This book shows you how to use Python to control Stable Diffusion and generate high-quality images. In addition to covering the basic usage of the diffusers package, the book provides solutions for extending the package for more advanced purposes.

Jun 2024 11h 44m

Getting Started with DuckDB

Getting Started with DuckDB

This hands-on book teaches you to analyze large datasets with blazing speed and ease. You will learn how to use DuckDB to quickly load, query, transform, analyze, and visualize data effectively through a series of practical examples.

Jun 2024 12h 44m

Databricks Certified Associate Developer for Apache Spark Using Python

Databricks Certified Associate Developer for Apache Spark Using Python

This guide gets you ready for certification with expert-backed content, key exam concepts, and topic reviews. Additionally, you'll be able to make the most of Apache Spark 3.0 to modernize workloads and more using specific tools and techniques.