Take Plotly to the next level with Dash. After briefly revising Plotly, you'll dive straight into building your first Dash app. You'll then get your first taste of HTML and how Dash harnesses this vital web development language to structure larger Dash apps. Finally, you'll put all this together in your first multi-graph dashboard for a global e-commerce organization. 

Plotly graphs and figures

Line graph of sales by country

Bar graph of sales by country

From Plotly to Dash

Program

The core Dash app code

Sales in a Dash app

Positioning Dash components

Combining HTML and Dash

A draft sales dashboard

Take control of the elements in your Dash apps with HTML and CSS. Learn what each of these is and how they are at the core of modern web development, then incorporate their powerful abilities in your Dash apps to change the size, color, and placement of your objects.

HTML in Dash

Adding logos and notes

Adding an HTML list to Dash

CSS Basics in Dash

Styling a Dash app with CSS

Switching to Darkmode

Advanced CSS in Dash

Practicing placement

A refined sales dashboard

Controlling object layout

Styling Dash Apps

Turn your Dash apps into user-driven experiences by mastering interactive components. Learn how to include dropdowns, date pickers, and event free text fields to modify elements on your Dash apps and build truly self-service dashboards your users can explore.

Callbacks in Dash

A dropdown for sales by country

Fixing a broken dashboard

Interactive components

Date picker for sales data

A date picker callback

Slider for sales data

Reusable Dash components

Re-using Dash components

DRY-styling Dash components

User inputs in Dash components

Updating a plot title

Analyzing top customer locations

Interactivity with Callbacks and Components

Unleash the full power of Dash app interactivity by triggering changes to one graph when a user clicks on or hovers over, another graph. Additionally, you'll learn the basics of Dash's AG Grid module for creating tables that can be easily filtered, sorted, and paginated; as well as trigger changes in other graphs as well.

Between-element interactivity

Generate key stats on hover

Hover to update another plot

Click to update another plot

Chained callbacks

Conditional dropdown options

Extending the chain

Dash AG Grid introduction

Interactive key stats table

Paginating a key stats table

Enhancing the sales dashboard

Dash AG Grid interactivity

Styling a key stats table

Interactive sales dashboard tables

Wrap-up video

Advanced Dash Apps

2011 Global e-commerce data

2011 Global e-commerce data (Complete)

You don’t need expensive vendor software to create insight-rich dashboards—you can do this using Plotly and Dash. Come on a journey and learn how to turn your Plotly visualizations into interactive dashboards using global e-commerce data. You’ll learn the basics of web applications and discover how to structure and style your dashboards using HTML and CSS—building a portfolio of dashboards you can adapt to your data and projects. Are you ready to bring your plots to life?

Introduction to Data Visualization with Plotly in Python

Data Manipulation with pandas

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Building Dashboards with Dash and Plotly

Trực quan hóa dữ liệu với Plotly và Dash

app.layout = [dcc.Graph(id='example-graph',figure=bar_fig)]

The core Dash app code

Building Dashboards with Dash and Plotly

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