Interactive Dashboards and Data Apps with Plotly and Dash

Summary: Structure of the Dash App

Explore how to build a Dash app within a Jupyter Notebook by understanding layout components, their IDs, and callback functions. This lesson guides you through creating interactive applications and updating them with new data for dynamic reporting.

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

Project

Summary: Structure of the Dash App