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Visualize New Predictions

Now that you've formatted the data, it's time to create the plot of predicted popularity distributions. The plot_posterior data frame that you just created is already available in the environment. We will use that data frame to create a visualization to communicate the results of our analysis.

This exercise is part of the course

Bayesian Regression Modeling with rstanarm

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Exercise instructions

  • Create a ggplot graphic with predict on the x-axis
  • Wrap the graphic so that each artist_name gets its own plot
  • Keep all facets of the plot in one column
  • Draw a density curve for the predicted popularity

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Create plot of 
ggplot(___, aes(x = ___)) +
	facet_wrap(~ ___, ___ = 1) +
	___()
Edit and Run Code