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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

Incorporating an interactive map into our app

The map that we created, together with the Dropdown and Markdown components, can become the first exploratory tool in our app. We can remove the population bar chart now, and in its place, we can place the components we just created, for users to explore all the indicators, see them on the map, and scroll through the years, and for each indicator, get the full details, as well as seeing the limitations and potential issues. Once something catches the user's eye, they can then find another chart that gives more detail about the indicator they want if it exists.

In order to fully incorporate the new functionality into our app, we need to go through the following steps:

  1. Add the definition of series at the top of the app.py module:
    series = pd.read_csv('data/PovStatsSeries.csv')
  2. Add the definition of the multiline_indicator function, anywhere before app.layout:
    def multiline_indicator(indicator):
       ...
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