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

Establishing the general development, deployment, and update workflow

When we discuss deployment, we are assuming that we are happy enough with what we have developed so far. This could be when we run our app for the first time, or after having introduced some changes or fixed some bugs. So, our data and code are ready to go. Our focus will be to set up the required infrastructure to enable us to run the code online.

The setup we will be going through is going to be simple and straightforward. We will be using Linode as an example for our hosting provider. An important feature of Linode is that it follows a philosophy of "open cloud." This means that the server we will be working with will be a plain Linux server, using open source components and packages that you can customize the way you want and migrate to and from with ease. The potential challenge here is that with more freedom comes more complexity and responsibility. In Chapter 4, Data Manipulation and Preparation...