Python Data Visualization Transcripts
Chapter: Plotly
Lecture: Annotation summary
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Now let me summarize what we did when we annotated and customized our visualizations. So this is the strip plot that we created.
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We start with using a basic strip plot and defining the range. Then we updated the layout and the Y.
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Axis to provide more clarity. And then finally we added an annotation and a vertical
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rectangle to further provide insight into the data and prepare a visualization that is suitable for
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sharing with others. And this basic process is really powerful and at the core of
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the way you can use plotly express and plotly in general for developing your
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visualizations, gaining insight and communicating those insights to those you may be working with.