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Interactive Dashboards and Data Apps with Plotly and Dash

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

Product type Book

Published in May 2021

Publisher Packt

ISBN-13 9781800568914

Pages 364 pages

Edition 1st Edition

Languages

Concepts

Data Visualization

Author (1):

Elias Dabbas

Table of Contents (18) Chapters

Preface

1. Section 1: Building a Dash App

2. Chapter 1: Overview of the Dash Ecosystem

3. Chapter 2: Exploring the Structure of a Dash App

4. Chapter 3: Working with Plotly's Figure Objects

5. Chapter 4: Data Manipulation and Preparation, Paving the Way to Plotly Express

6. Section 2: Adding Functionality to Your App with Real Data

7. Chapter 5: Interactively Comparing Values with Bar Charts and Dropdown Menus

8. Chapter 6: Exploring Variables with Scatter Plots and Filtering Subsets with Sliders

9. Chapter 7: Exploring Map Plots and Enriching Your Dashboards with Markdown

10. Chapter 8: Calculating the Frequency of Your Data with Histograms and Building Interactive Tables

11. Section 3: Taking Your App to the Next Level

12. Chapter 9: Letting Your Data Speak for Itself with Machine Learning

13. Chapter 10: Turbo-charge Your Apps with Advanced Callbacks

14. Chapter 11: URLs and Multi-Page Apps

15. Chapter 12: Deploying Your App

16. Chapter 13: Next Steps

17. Other Books You May Enjoy

Technical requirements

In addition to the packages that we used in Chapter 1, Overview of the Dash Ecosystem (for example, Dash, Dash HTML Components, and Dash Bootstrap Components), we will be, most importantly, working with Dash Core Components. We will also look at how to run Dash apps within a Jupyter Notebook environment, and for that, we will be using the jupyter_dash package along with JupyterLab. Later in the chapter, when we incorporate new functionality into the app, we will use pandas for data manipulation.

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_02.

Check out the following video to see the Code in Action at https://bit.ly/3tC0ZsW.

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Authors (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.

See other products by Elias Dabbas

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