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  3. Bayesian Regression Modeling with rstanarm

Exercise

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.

Instructions

100 XP
  • 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