This book will help you explore the functionalities of Dash for visualizing data in different ways and getting the most out of your data.
You'll start with an overview of the Dash ecosystem, its main packages, and the available
third-party packages crucial for structuring and building different parts of your apps.
Next, you will learn how to create a basic Dash app and add different features to it. You'll
then integrate controls such as dropdowns, checkboxes, sliders, date pickers, and more
in the app, and then link them to charts and other outputs. Depending on the data you
are visualizing, you will also add several types of charts, including scatter plots, line plots,
bar charts, histograms, maps, and more, as well as exploring the options available for
customizing them.
By the end of this book, you will have developed the skills you need to create and
deploy an interactive dashboard, be able to handle complexity and code refactoring, and
understand the process of improving your application.
This Plotly Dash book is for data professionals and data analysts who want to gain a better
understanding of their data with the help of different visualizations and dashboards. Basic
to intermediate-level knowledge of the Python programming language is expected to
grasp the concepts covered in this book more effectively.