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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

Adding interactivity to histograms

Just like we did in Chapter 7, Exploring Map Plots and Enriching Your Dashboards with Markdown, we can do the same with histograms. We can allow users to get a better idea about the distribution of a certain indicator in a certain year or more. The difference is that we want to allow them to customize the number of bins. Since we are now comfortable with handling multiple inputs and outputs, let's also add some more options for our users. We can also allow users to select multiple years and display multiple years on multiple sub-plots using faceting. Figure 8.10 shows what we will be working toward to make it clear:

Figure 8.10 – A histogram app allowing the selection of indicator, year(s), and bins

Figure 8.10 – A histogram app allowing the selection of indicator, year(s), and bins

Let's start building right away. We won't be discussing the layout elements such as color and width, but you can always refer to the code repository for the exact solution. We will focus on building the...

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