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Interactive Dashboards and Data Apps with Plotly and Dash

Interactive Dashboards and Data Apps with Plotly and Dash

By : Elias 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: 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)
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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 first got to know the two main components that are responsible for modifying, reading, and parsing URLs, the Location and Link components. We created two simple apps in which we saw how to extract the part of the URL that we are interested in and experimented with several options for what can be done with them.

We then saw how to modify parts of an app by taking values from parsed URLs. With this knowledge, we were able to restructure our app. We created a skeleton layout with an empty div, in which the right content would then be displayed based on the URL.

We then incorporated the new functionality into our app. We were left with a final exercise that you can expect to go through in real life, which is a colleague handing you some code that you have to figure out and modify yourself.

Now that we have explored many options, layouts, components, and functionality, the next natural step is to deploy our app on a public server, so we can share it with the world.

...
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Programming languages
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Interactive Dashboards and Data Apps with Plotly and Dash
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