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Interactive Dashboards and Data Apps with Plotly and Dash

Interactive Dashboards and Data Apps with Plotly and Dash

By : Dabbas
4.4 (24)
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Interactive Dashboards and Data Apps with Plotly and Dash

Interactive Dashboards and Data Apps with Plotly and Dash

4.4 (24)
By: 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)
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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

Chapter 4: Data Manipulation and Preparation, Paving the Way to Plotly Express

We saw that preparing data can take much more mental effort and code than the process of creating charts. Or, to put it differently, if we invest a good amount of time in preparing our data and making certain decisions about how and what we intend to do with it, the process of visualization can be made much easier. So far, we have used a small part of our dataset and didn't make any changes to its shape or format. And when making our charts, we followed the approach of building them from scratch by creating a figure and then adding different layers and options for traces, titles, and so on.

In this chapter, we will go through a thorough familiarization with the dataset and reshape it to an intuitive and easy-to-use format. This will help us in using a new approach for creating visualizations, using Plotly Express. Instead of starting with an empty rectangle and building layers on top of it, we will...

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