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Grace Di Méo, Mario Bañuelos, Rob Lewis, Scott Kleinman
Topics (keywords)
DH, Open Education, Open Access, data visualisation, python
Learning outcomes
After completing this lesson, you will be able to:
Create interactive data visualizations in Python using Plotly’s open-source graphing libraries
Understand the distinction between Plotly Express, Plotly’s Graph Objects, and Plotly Dash
Create and export graphs using plotly.express and plotly.graph_objects
Add custom features to graphs
Abstract
This lesson demonstrates how to create interactive data visualizations in Python with Plotly’s open-source graphing libraries using materials from the Historical Violence Database.
The text was updated successfully, but these errors were encountered:
Title of the resource
Creating Interactive Visualizations with Plotly
Resource type
External Resource
Authors, editors and contributors
Grace Di Méo, Mario Bañuelos, Rob Lewis, Scott Kleinman
Topics (keywords)
DH, Open Education, Open Access, data visualisation, python
Learning outcomes
After completing this lesson, you will be able to:
Abstract
This lesson demonstrates how to create interactive data visualizations in Python with Plotly’s open-source graphing libraries using materials from the Historical Violence Database.
The text was updated successfully, but these errors were encountered: