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

Understanding State

The typical callback function structure that we used so far contained one or more Output elements and one or more Input elements. As mentioned in the introduction, the callbacks fire immediately when users modify an Input element. We want to relax this option a little. We will start with a simple example demonstrating why and how to use State, which is an optional argument that can be given to our callbacks.

To make the problem we are trying to solve clear, take a look at Figure 10.1:

Figure 10.1 – An interactive app with outputs that are not properly synchronized with input values

Figure 10.1 – An interactive app with outputs that are not properly synchronized with input values

As you can see, the output is showing the wrong values. The reason is that the app was made very slow by introducing a waiting time, to simulate a practical situation that you might face with your apps. The output was not wrong, actually; it just took too long to update, so when the input was changed, it wasn't immediately reflected in the...