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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

Summary

We focused mainly on bar charts in this chapter. We also used Dropdown components in several ways. We saw the pros and cons of using horizontal and vertical orientation, and we actually implemented both in our app. We then analyzed the different ways in which multiple bar charts can be displayed together, and we implemented one showing the proportions of a total value. We then explored facets and saw how they enrich our figures and make them flexible and scalable. We also linked that to dropdowns, which allow multiple selections. After making sure that everything is working fine, we gave our app a facelift by choosing a new theme and making sure that all background colors are consistent. We also managed the layout for different screen sizes by setting different sizes for our figures for different screen sizes. A few helpful messages were added to make the app easier to use. Finally, we took a screenshot of the resulting app!

In the next chapter, we will explore one of the...

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