Interactive Dashboards and Data Apps with Plotly and Dash

Exercise: Visualizing Datasets

Explore how to visualize data distributions by creating subsets and plotting bar and scatter charts in Dash. Learn to manipulate data using Python and enhance your dashboards with meaningful visual representations.

We'll cover the following...

Tasks
Coding workspace

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

Exercise: Visualizing Datasets

Tasks