Gain insights into Plotly and Dash to create interactive data visualizations and web dashboards with Python. Explore visualization, customization, and interactivity, mastering complex datasets and dashboard apps.

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Discover the compelling universe of Plotly and Dash, versatile Python libraries that enable interactive data visualization and web dashboard applications. These tools are essential for anyone seeking to effectively communicate data narratives and build interactive data visualizations.

You'll explore Plotly’s robust data visualization capabilities. You’ll create plots for univariate, bivariate and multivariate analysis before customizing and adding interactivity, using real world datasets. Then, you’ll build upon and use these skills when learning Dash as you build and customize analytical dashboard apps. You’ll journey through Dash's structure, from understanding layouts and HTML components to mastering Dash styling using CSS. You’ll learn the significance of callback functions, enhancing user interactivity, and experience the power of Dash's DataTable component.

By the end of this course, you'll be able to create engaging visualizations with Plotly and develop interactive web applications using Dash.

Mastering Plotly and Dash Data Visualization with Python

To enhance user interactivity and add dynamic aspects to Dash apps

To improve the performance of the Dash application

What is the main purpose of using callback functions in Dash applications?

What is the main purpose of using callback functions in Dash applications?

Which part of the Dash callback structure defines the output component and the property that will be updated when the callback is triggered?

Which part of the Dash callback structure defines the output component and the property that will be updated when the callback is triggered?

Input and output together, separated by a comma

What is the recommended order of input and output objects in the `@app.callback` decorator?

What is the recommended order of input and output objects in the <code>@app.callback</code> decorator?

The component properties of both input and output Dash Components

The output Dash Components specified in the callback structure

The component IDs of both input and output Dash Components

The input Dash Components specified in the callback structure

What should be the matching function name and argument list for the callback function?


What should be the matching function name and argument list for the callback function?

`Input(...), Input(...), Output(...), Output(...)`

`Output(...), Output(...), Input(...), Input(...)`

`Output(...), Input(...), Output(...), Input(...)`

When multiple inputs and outputs exist, what is the correct order in the callback decorator?

When multiple inputs and outputs exist, what is the correct order in the callback decorator?

Based on the order of the `Input()` objects in the callback decorator, from top to bottom

Based on the order of the `Output()` objects in the callback decorator, from top to bottom

Alphabetically by the component properties

How should multiple `Input()` objects be passed into the function parameters?

How should multiple <code>Input()</code> objects be passed into the function parameters?

The app will not function properly and will produce errors.

The app will crash when trying to execute the callback.

The app will function properly, but there might be unnecessary updates.

In a Dash app with multiple inputs, what happens if the outputs depend on some, but not all, of the same inputs?

In a Dash app with multiple inputs, what happens if the outputs depend on some, but not all, of the same inputs?

To dynamically update dropdown options based on user selections

What is the primary purpose of using chained callbacks in a conditional dropdown menu implementation?

What is the primary purpose of using chained callbacks in a conditional dropdown menu implementation?

Quiz: Dash Callbacks

Quiz: Dash Callbacks

Test your understanding of callbacks, including those with multiple inputs and outputs, or that are chained.

Introduction and Univariate Analysis

Exploratory Data Analysis - Bivariate and Multivariate Analysis

Customizing Plots

Advanced Customization

Interactivity in Plotly

Visualizing Machine Learning Models with Plotly

Global Energy Consumption Visualization

Introducing Dash

Dash Layout

Dash Styling

Dash Callbacks

User Interactivity in Dash

Tabular data in Dash DataTable

Global Energy Consumption Dashboard

Conclusion

Quiz: Dash Callbacks