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

Introducing pattern-matching callbacks

Mastering this feature, and here we are dealing with a truly new feature, will allow you to take your apps to a new level of interactivity and power. The most important feature of this capability is that it allows us to handle the interactivity of components that didn't exist before. As we've done so far, when we allowed users to create new charts by clicking a button, those components did not exist before in the app. The more interesting thing is that the callback function that handles them all is as simple as any other callback that takes values from a dropdown and produces a chart. The trick is in slightly changing the id attribute of our components.

So far, we have set the id attributes as strings, and the only requirement was that they be unique. We will now introduce a new way of creating this attribute, which is by using dictionaries. Let's first take a look at the end goal, then modify the layout, the callbacks, and finally...