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

Languages

Python

Tools

Plotly

Concepts

Data Visualization

Author (1)

Elias Dabbas

Technical requirements

We will be exploring a few options from sklearn, as well as NumPy. Otherwise, we will be using the same tools we have been using. For visualization and building interactivity, Dash, JupyterDash, the Dash Core Component library, Dash HTML Components, Dash Bootstrap Components, Plotly, and Plotly Express will be used. For data manipulation and preparation, we will use pandas and NumPy. JupyterLab will be used for exploring and building independent functionality. Finally, sklearn will be used for building our machine learning models, as well as for preparing our data.

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_09.

Check out the following video to see the Code in Action at https://bit.ly/3x8PAmt.

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Interactive Dashboards and Data Apps with Plotly and Dash

Published in: May 2021Publisher: PacktISBN-13: 9781800568914

Author (1)

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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