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

Customizing the marks and values of sliders

The simplest way to create these is by using a dictionary: {0: '$1.9', 1: '$3.2', 2: '$5.5'}. They keys will be used as the value attribute, and the values of the dictionary are what the user will see for each poverty level. This will suffice for our case, and we can use it as such.

We optionally have the chance to customize the style of our labels, which can take any CSS attribute as a dictionary. If you look at Figure 6.21, you can see that the marks (numbers) of the two sliders have a very light color, and they might give the impression that they belong to the same slider. We can improve this by setting their colors to a dark color. We can also set a bold font for the indicator slider. This will help distinguish them from the years, and it will also emphasize their uniqueness. Years are easy to immediately grasp, but users are most likely not familiar with the levels of poverty tracked in the dataset....