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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

Exploring different ways of displaying multiple bar charts (stacked, grouped, overlaid, and relative)

When we want to display values for different countries but for the same years, we have several options for how to display multiple bars on each position of the x axis. Figure 5.9 shows the different ways in which we can do that when visualizing two variables, a and b:

Figure 5.9 – Multiple bar charts displayed using different "barmode" options

Figure 5.9 – Multiple bar charts displayed using different "barmode" options

The four bar charts in the preceding diagram show the same information, but in different ways. This can be set using the barmode parameter. With relative, bars are displayed on top of one another, with negative values below, and positive values above, the zero line. If you set it to group, then bars will be displayed next to one another. With overlay, bars are displayed in front of one another, and by default, we get some transparency in order to see both bars. Finally, if you set it to stack, you...

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