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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

Plotting bar charts vertically and horizontally

The default display of bar charts is vertical. This is intuitive and easy to understand. Each category or item takes a separate position on the x axis, and the heights of the bars represent a certain quantity on the y axis. The same applies when the bars are displayed horizontally, only in this case, the width of the bars is what represents the quantity. Usually, with relatively fewer values, the vertical orientation is good. However, horizontal orientation can be more effective in two cases:

  • When we have many categories: In this case, the bars might not fit on the screen, and we might need to either make them much thinner than the default width, or we might need to force horizontal scrolling, which is not as natural as vertical scrolling.
  • When the names of the categories are relatively long: This is not really a big problem, and the solution is easy. Plotly already handles this for us, by automatically changing the angle...
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