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Adding Hover Visibility

Explore how to implement hover visibility in Python data visualizations using Plotly's libraries. Learn to create interactive scatter plots that display detailed information when hovering over data points, helping to identify anomalies and gain insights in economic datasets. This lesson guides you through integrating hover data in a Jupyter notebook environment for improved analysis.

Import libraries

To better understand the data and visualize anomalies, we’ll import another couple of libraries that are part of the Plotly family of tools. You may need to manually install on your host using pip install plotly before these will work. Here are the ...