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

We started by exploring how to create choropleth maps, which are a type of map that we are all used to seeing. We also saw how to animate those maps if we have a sequential value, which in our case was viewing a certain indicator as it progressed throughout the available years. We then created a callback function and made the maps work with all the possible indicators that we have, so users could explore them all and then decide what they wanted to explore next.

After that, we learned how to use Markdown to generate HTML content, and how to add it to a Dash app. We then explored the different ways of displaying maps, or projections, and saw how to select the projection that we want.

We went through another type of map, which is a scatter map plot. Building on the knowledge we established in the previous chapter, it was fairly straightforward to adapt that knowledge to scatter maps. We also learned about the rich options that Mapbox provides and explored a few other topics...