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.

Cet exercice fait partie du cours

Interactive Data Visualization with plotly in R

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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.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

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

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