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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 Harness the power of a fully fledged frontend web framework in Python – no JavaScript required

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781800568914
Length 364 pages
Edition 1st Edition
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Author (1):
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Elias Dabbas Elias Dabbas
Author Profile Icon Elias Dabbas
Elias Dabbas
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Building a Dash App
2. Chapter 1: Overview of the Dash Ecosystem FREE CHAPTER 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

Chapter 2: Exploring the Structure of a Dash App

We are now ready to tackle the mechanism through which Dash creates interactivity – the heart of Dash, if you will. Once you are comfortable with creating callback functions that link different elements of the layout, combined with what you learned in Chapter 1, Overview of the Dash Ecosystem, you should be well equipped to be able to convert datasets into interactive apps in a very short period of time. The remainder of this book will go into much more detail and offer many more options of how to do this. However, these two chapters should be sufficient for creating visual layouts, as well as connecting them and making them interactive. We will mainly explore callback functions in this chapter; the following topics will be covered:

  • Using Jupyter Notebooks to run Dash apps
  • Creating a standalone pure Python function
  • Understanding the ID parameter of Dash components
  • Using Dash inputs and outputs
  • Incorporating...
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