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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

Getting to know the Location and Link components

These components are part of Dash Core Components, and their names make quite clear what they are and what they might do. The Location component refers to the browser's location bar. It is also referred to as the address bar or the URL bar. We typically place a Location component in the app, and it doesn't produce anything visible. We mainly use it to discover where we are in the app, and based on that, we induce some functionality. Let's create a simple example to see how it can be used in its simplest form:

  1. Create a simple app:
    import dash_html_components as html
    import dash_core_components as dcc
    from jupyter_dash import JupyterDash
    from dash.dependencies import Output, Input
    app = JupyterDash(__name__)
  2. Create a simple layout for the app containing a Location component and, right underneath it, an empty div:
    app.layout = html.Div([
        dcc.Location(id='location'),
     html.Div...
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