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

We saw that preparing data can take much more mental effort and code than the process of creating charts. Or, to put it differently, if we invest a good amount of time in preparing our data and making certain decisions about how and what we intend to do with it, the process of visualization can be made much easier. So far, we have used a small part of our dataset and didn't make any changes to its shape or format. And when making our charts, we followed the approach of building them from scratch by creating a figure and then adding different layers and options for traces, titles, and so on.

In this chapter, we will go through a thorough familiarization with the dataset and reshape it to an intuitive and easy-to-use format. This will help us in using a new approach for creating visualizations, using Plotly Express. Instead of starting with an empty rectangle and building layers on top of it, we will...

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