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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

Parsing URLs and using their components to modify parts of the app

Having established some working knowledge about how Location and Link components work, we want to use this in our app. The plan is to add 169 new pages using three callbacks and adding a few new layout elements. The user will have a drop-down menu of countries to choose from. Selecting a country modifies the URL, which will render the country layout. This layout will include a heading, a chart, and a table about the country in the URL.

Figure 11.2 shows a sample of a country page that we will build:

Figure 11.2 – A sample country page showing a chart including other countries as well

Figure 11.2 – A sample country page showing a chart including other countries as well

As you can see, we now have a template for a country page. This was triggered because the URL contained a country that is one of the available countries in the dataset. Otherwise, it will display the main app, containing all the components that we have built so far. Users can also click on the Home...

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