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 focus on using the Figure object from the graph_objects module of the plotly package. Later in the chapter, we will utilize the other packages that we have been using to improve our app and add an interactive chart to it. As a reminder, the packages that we will use are Dash, Dash HTML Components, Dash Core Components, Dash Bootstrap Components, JupyterLab, Jupyter Dash, and pandas.

The packages can be individually installed by running pip install <package-name>, but it would be better to install the exact same versions that we use here, to reproduce the same results. You can install them all by running one command, pip install –r requirements.txt, from the root folder of the repository. The latest version of the poverty dataset can be downloaded from this link: https://datacatalog.worldbank.org/dataset/poverty-and-equity-database. However, as with the packages, if you want to reproduce the same results, you can access the dataset from...

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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.
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