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.
Это упражнение является частью курса
Bayesian Regression Modeling with rstanarm
Инструкции к упражнению
- Create a ggplot graphic with
predicton the x-axis - Wrap the graphic so that each
artist_namegets its own plot - Keep all facets of the plot in one column
- Draw a density curve for the predicted popularity
Интерактивное практическое упражнение
Попробуйте выполнить это упражнение, дополнив этот пример кода.
# Create plot of
ggplot(___, aes(x = ___)) +
facet_wrap(~ ___, ___ = 1) +
___()