Interactive Dashboards with Plotly and Dash / with Chris Bruehl and Maven Analytics.

Format:

Video

Author/Creator:

Bruehl, Chris, speaker.

Contributor:

Analytics, Maven, speaker.

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Physical Description:

1 online resource

Place of Publication:

Carpenteria, CA : linkedin.com, 2024.

System Details:

Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.

digital

Summary:

Create interactive visuals, dashboards, and web applications using the Plotly and Dash libraries in Python.

This hands-on, project-based course is designed to help you learn Python's most popular packages for creating interactive dashboards and web applications: Plotly and Dash. Instructor Chris Bruehl introduces the core components of a Dash application, reviews basic front-end and back-end elements, and demonstrates how to tie everything together to create a simple, interactive web app. He explores a variety of Plotly visuals, including line charts, scatterplots, histograms and maps. Learn how to apply basic formatting options like layouts and axis labels, add context to our visuals using annotations and reference lines, then bring your data to life with interactive elements like dropdown menus, checklists, sliders, and more. See how to use Dash to build and customize a web-based dashboard, using tools like markdown, HTML components and styles, themes, grids, tabs, and more. Chris also covers advanced topics like data tables, cross-filters, and app deployment options. Note: This course was created by Chris Bruehl and Maven Analytics. We are pleased to host this training in our library.

Participant:

Presenter: Chris Bruehl

Notes:

9/26/202412:00:00AM

Access Restriction:

Restricted for use by site license.