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

Product type Paperback

Published in May 2021

Publisher Packt

ISBN-13 9781800568914

Length 364 pages

Edition 1st Edition

Languages

JavaScript

Tools

Dash

Concepts

Data Visualization

Author (1):

Elias Dabbas

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Table of Contents (18) Chapters

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 3: Working with Plotly's Figure Objects

Imagine that you have published an article that contains a chart. Assume that your readers will, on average, spend 1 minute looking at the chart. If your chart is easy to understand, then they will probably spend 10 seconds understanding it and 50 seconds thinking, analyzing, and pondering its implications. On the other hand, if the chart is difficult to understand, they will spend 50 seconds "reading" it, and very little time thinking about its implications.

This chapter aims to equip you with tools that will help you to minimize the time an audience spends understanding your charts, and to maximize their analysis and thinking time. The two previous chapters were about structuring apps and making them interactive. In this chapter, we will discuss how to create and control the very charts around which your apps are built. Plotly's Figure object is what we will primarily explore. In this chapter, we will cover the...