Python Data Visualization Transcripts
Lecture: Annotation summary
0:00 Now let me summarize what we did when we annotated and customized our visualizations. So this is the strip plot that we created.
0:09 We start with using a basic strip plot and defining the range. Then we updated the layout and the Y.
0:17 Axis to provide more clarity. And then finally we added an annotation and a vertical
0:24 rectangle to further provide insight into the data and prepare a visualization that is suitable for
0:31 sharing with others. And this basic process is really powerful and at the core of
0:37 the way you can use plotly express and plotly in general for developing your
0:43 visualizations, gaining insight and communicating those insights to those you may be working with.