Book Image

Interactive Dashboards and Data Apps with Plotly and Dash

By : Elias Dabbas
Book Image

Interactive Dashboards and Data Apps with Plotly and Dash

By: Elias Dabbas

Overview of this book

Plotly's Dash framework is a life-saver for Python developers who want to develop complete data apps and interactive dashboards without JavaScript, but you'll need to have the right guide to make sure you’re getting the most of it. With the help of this book, you'll be able to explore the functionalities of Dash for visualizing data in different ways. Interactive Dashboards and Data Apps with Plotly and Dash will first give you an overview of the Dash ecosystem, its main packages, and the third-party packages crucial for structuring and building different parts of your apps. You'll learn how to create a basic Dash app and add different features to it. Next, you’ll 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'll also add several types of charts, including scatter plots, line plots, bar charts, histograms, and maps, as well as explore the options available for customizing them. By the end of this book, you'll have developed the skills you need to create and deploy an interactive dashboard, handle complexities and code refactoring, and understand the process of improving your application.
Table of Contents (18 chapters)
1
Section 1: Building a Dash App
6
Section 2: Adding Functionality to Your App with Real Data
11
Section 3: Taking Your App to the Next Level

Chapter 2: Exploring the Structure of a Dash App

We are now ready to tackle the mechanism through which Dash creates interactivity – the heart of Dash, if you will. Once you are comfortable with creating callback functions that link different elements of the layout, combined with what you learned in Chapter 1, Overview of the Dash Ecosystem, you should be well equipped to be able to convert datasets into interactive apps in a very short period of time. The remainder of this book will go into much more detail and offer many more options of how to do this. However, these two chapters should be sufficient for creating visual layouts, as well as connecting them and making them interactive. We will mainly explore callback functions in this chapter; the following topics will be covered:

  • Using Jupyter Notebooks to run Dash apps
  • Creating a standalone pure Python function
  • Understanding the ID parameter of Dash components
  • Using Dash inputs and outputs
  • Incorporating...