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

Summary

In this chapter, we first learned about the main difference between histograms and the other types of charts we have covered so far. We saw how easy it is to create them, and more importantly, we saw how customizable they can be with bins, barmode, colors, and facets. We then explored how to add interactivity to histograms by connecting them to other components with a callback function.

We then explored the 2D histogram and saw how it can provide an even richer view of two columns visualized against each other.

We introduced a new interactive component, the DataTable. We barely scratched the surface of what can be done with tables. We used them to make it easier for users to obtain, interact with, or simply view the raw data behind our histograms. We also explored the different ways to control the look and feel of our tables.

Finally, we incorporated the table functionality with the callback function we created and added the interactivity to our app.

Let's...