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You're reading from  Interactive Dashboards and Data Apps with Plotly and Dash

Product typeBook
Published inMay 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781800568914
Edition1st Edition
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Author (1)
Elias Dabbas
Elias Dabbas
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Elias Dabbas

Elias Dabbas is an online marketing and data science practitioner. He produces open-source software for building dashboards, data apps, as well as software for online marketing, with a focus on SEO, SEM, crawling, and text analysis.
Read more about Elias Dabbas

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Technical requirements

We will be using the same basic tools that we have used in most chapters so far, and mainly focus on some new features in callback functions. We will use Dash, Dash HTML Components, Dash Core Components, and Dash Bootstrap Components for making our apps. For data manipulation, we will use pandas. For the charts and visualizations, we will be using Plotly and Plotly Express, and finally, we will use JupyterLab to interactively explore and create new functionality independently, before incorporating it into our app.

The code files of this chapter can be found on GitHub at https://github.com/PacktPublishing/Interactive-Dashboards-and-Data-Apps-with-Plotly-and-Dash/tree/master/chapter_10.

Check out the following video to see the Code in Action at https://bit.ly/3v6ZYJw.

Let's start by getting familiar with State.

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Interactive Dashboards and Data Apps with Plotly and Dash
Published in: May 2021Publisher: PacktISBN-13: 9781800568914

Author (1)

author image
Elias Dabbas

Elias Dabbas is an online marketing and data science practitioner. He produces open-source software for building dashboards, data apps, as well as software for online marketing, with a focus on SEO, SEM, crawling, and text analysis.
Read more about Elias Dabbas