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 establishing a simple workflow to manage the cycle of development, deployment, and updates. We defined three main components for this workflow and how they relate to one another. We discussed the relationship between local workstations, a central Git repository, and a web server, and set some guidelines on how work should flow between them.

We then created a hosting account, set up a virtual server, and got ready to do work on the server locally. Then, we explored how we can access the server locally through SSH, and ran some basic security and administration tasks. We cloned our repository and saw that it can run on the server exactly as we do locally.

We then discussed the two other required components for our app to be available publicly. We ran our app slightly differently by using a WSGI server. The last step was to install and configure a web server, using the simplest setup possible. Our app was then accessible on a public IP.

Finally, we explored...