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

Enhancing performance and using big data tools

This is a very important topic, and we always need to make sure that our apps perform at an acceptable level. We didn't tackle this in the book because the focus was mainly to learn how to create a Dash app with all the other details that make it work. We also worked with a very small dataset of a few megabytes. Still, even with a small dataset, it can be crucial to optimize it. Big data can be about handling a massive file, or it can be about a small file that needs to be handled a massive number of times.

These are some things that can be done to optimize performance, but big data is a separate topic altogether, so here are some hints and some areas to explore.

Once we know how our app will behave and what features we will be using, we can clean up some unnecessary code and data that might be hindering our app's performance. Here are some ideas that can be done immediately to our app:

  • Load the necessary data only...