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.

This exercise is part of the course

Interactive Data Visualization with plotly in R

View Course

Exercise instructions

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.

Hands-on interactive exercise

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

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

Edit and Run Code