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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

Summary

You now have enough information and have seen enough examples to create dashboards quickly. In Chapter 1, Overview of the Dash Ecosystem, we learned how apps are structured and learned how to build fully running apps, but without interactivity. In Chapter 2, Exploring the Structure of a Dash App, we explored how interactivity works, through callback functions, and we added interactive features to our app. Chapter 3, Working with Plotly's Figure Objects, introduced how Plotly's charts are created, their components, and how to manipulate them to achieve the results you want. Finally, in this chapter, we introduced Plotly Express, a high-level interface to Plotly that is easy to use but more importantly, follows an intuitive approach that is data-oriented, as opposed to being chart-oriented.

One of the most important and biggest parts of creating visualizations is the process of preparing data in certain formats, after which it becomes relatively straightforward to...

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