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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

Technically, no new packages will be used in this chapter, but as a major module of Plotly, we can consider Plotly Express to be a new one. We will also be extensively using pandas for data preparation, reshaping, and general manipulation. This will mainly be done in JupyterLab. Our dataset will consist of the files in the data folder in the root of the repository.

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_04.

Check out the following video to see the Code in Action at https://bit.ly/3suvKi4.

Let's start by exploring the different formats in which we can have data, and what we can do about it.

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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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