Learn Plotly and Dash to build interactive visualizations and dashboards with Python. Explore customization, interactivity, and complex datasets to create dynamic, data-driven applications.

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CH1_02-categorical-univariate-analysis-lab_Q

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CH6_02_Visualising_Classification_Model_Outputs_lab_Q

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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

What functionality do we use to create subplots in Plotly?

What functionality do we use to create subplots in Plotly?

What keyword arguments can we pass into `make_subplots()` to specify the number of rows and columns in the grid of plots?

What keyword arguments can we pass into <code>make_subplots()</code> to specify the number of rows and columns in the grid of plots?

This is automatic and will be determined for you.

Use the `make_subplots()` function with the `shared_xaxes` or `shared_yaxes` parameter set to `True`.

Use the `add_subplot()` method with the `sharedx` or `sharedy` parameter set to `False`.

How can you specify that subplots in a Plotly figure should share the same x-axis or y-axis?

How can you specify that subplots in a Plotly figure should share the same x-axis or y-axis?

Subplots involve creating multiple plots in a single figure, while layering involves overlaying traces on the same plot.

Subplots involve overlaying traces on the same plot, while layering involves creating multiple plots in a single figure.

There is no difference between creating subplots and layering in Plotly.

This is a trick question, you cannot layer in Plotly.

What is the difference between creating subplots and layering in Plotly?

What is the difference between creating subplots and layering in Plotly?

Quiz: Advanced Customization

Quiz: Advanced Customization

Test your understanding of subplots and layering with Plotly figures

Quiz: Advanced Customisation

Introduction and Univariate Analysis

Exploratory Data Analysis - Bivariate and Multivariate Analysis

Customizing Plots

Advanced Customization

Interactivity in Plotly

Time Series Analysis and Visualization Using Python and 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

Build Data-centric Dashboards Using Dash

Quiz: Advanced Customization