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

Going large scale with Dash Enterprise

When you have a deployment in a large organization with many users that has an existing infrastructure, several things might come up that you might not have considered or anticipated. Imagine your app is going to be used by hundreds of people in a company. How do you deal with access to the app? How do you manage passwords, and what exactly happens when someone resigns, or joins? Are you experienced enough in security that you are confident that you can handle such a large deployment?

In these cases, data engineering takes on a much bigger role than previously. Storing the data efficiently and securely becomes more important. Scalability and managing it can be tricky if it is not your area of expertise. Your main job is to design and create something that helps in finding insights, rather than maintaining large-scale apps. In some cases, you might have the required skills but don't want to worry about those things and mainly want to focus...