Binning a scatterplot

The dataset vgsales contains 16450 cases (rows), which is large enough that binned scatterplots help avoid overplotting. In this exercise, your task is to create a binned scatterplot of User_Score against Critic_Score to display the entire dataset. (Recall up to now that you have only been displaying pieces of this dataset as scatterplots.)

Once you have created the plot, be sure to explore the interactivity. Specifically, note that the "z" entry in the hover info corresponds to the number of observations in the chosen bin.

plotly has already been loaded for you.

Это упражнение является частью курса

Interactive Data Visualization with plotly in R

Посмотреть курс

Инструкции к упражнению

Create a binned scatterplot with Critic_Score on the x-axis and User_Score on the y-axis.
Set the number of bins on the x- and y-axes to 50.

Интерактивное практическое упражнение

Попробуйте выполнить это упражнение, дополнив этот пример кода.

# Create a binned scatterplot of User_Score vs. Critic_Score
vgsales %>%
  plot_ly(___, ___) %>%
  ___(___, ___)

Редактировать и запускать код