Interactive Dashboards and Data Apps with Plotly and Dash

Introduction: Structure of the Dash App

Explore how Dash creates interactivity through callback functions. Learn to build reactive layouts by using inputs and outputs, running apps in Jupyter, and connecting components for effective interactive dashboards.

We'll cover the following...

1.Plotly's Dash Framework

2.Overview of the Dash Ecosystem

3.Exploring the Structure of a Dash App

4.Working with Plotly's Figure Objects

5.Data Manipulation and Preparation using Plotly Express

6.Interactively Comparing Values with Bar Charts and Drop-Down Menus

7.Exploring Variables and Filtering Subsets

Project

8.Exploring Map Plots and Enriching Dashboards with Markdown

9.Calculating the Frequency of Data with Histograms and Tables

10.Letting the Data Speak for Itself with Machine Learning

11.Turbocharge Apps with Advanced Callbacks

12.URLs and Multipage Apps

13.Deploying the App

14.Next Steps

15.Appendix

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Introduction: Structure of the Dash App