Data Analytics using Python Visualizations - Customizing Your Plots

This video tutorial covers how to customize various parameters in bouquet plots. It begins with an introduction to the topic, followed by a practical example using the figure function to create a plot. The tutorial explains how to use the sizing mode to adjust the plot's width in a browser or Jupyter notebook. It also demonstrates how to customize the X and Y axes, including changing line colors and orientations. The video concludes with a summary and a preview of upcoming topics in bouquet.

What customization was made to the Y axis levels in the example?

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Describe the difference in major level orientation between the examples shown in the video.

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