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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
Author (1):
Elias Dabbas Elias Dabbas
Profile icon Elias Dabbas
Toc

Table of Contents (18) Chapters close

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

Customizing the marks and values of sliders

The simplest way to create these is by using a dictionary: {0: '$1.9', 1: '$3.2', 2: '$5.5'}. They keys will be used as the value attribute, and the values of the dictionary are what the user will see for each poverty level. This will suffice for our case, and we can use it as such.

We optionally have the chance to customize the style of our labels, which can take any CSS attribute as a dictionary. If you look at Figure 6.21, you can see that the marks (numbers) of the two sliders have a very light color, and they might give the impression that they belong to the same slider. We can improve this by setting their colors to a dark color. We can also set a bold font for the indicator slider. This will help distinguish them from the years, and it will also emphasize their uniqueness. Years are easy to immediately grasp, but users are most likely not familiar with the levels of poverty tracked in the dataset....

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