Preface

Plotly's Dash framework allows Python programmers to develop complete analytic data apps and interactive dashboards. 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.