Overlayed density plots

In this exercise, you will learn how to create density plots and overlay them to compare the distribution of critic scores for three video game publishers: Activision, Electronic Arts, and Nintendo.

To create a density plot for Critic_Score, store the results of the density() command, and then pass the x and y coordinates to add_lines():

d <- density(vgsales2016$Critic_Score, na.rm = TRUE)
plot_ly() %>%
  add_lines(x = ~d$x, y = ~d$y, fill = 'tozeroy') %>%
  layout(xaxis = list(title = 'Critic score'),
         yaxis = list(title = 'Density'))

Notice how you can create new plot types easily using familiar code! The fill = 'tozeroy' argument fills the area under the curve.

Data frames activision,ea, and nintendo are loaded, as is plotly.

Diese Übung ist Teil des Kurses

Interactive Data Visualization with plotly in R

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Anleitung zur Übung

Compute density curves of Critic_Score for Activision, EA, and Nintendo, storing them in the d.a, d.e, and d.n objects, respectively.
Create overlayed density plots of Critic_Score for activision, ea, and nintendo (in that order).

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

# Compute density curves
d.a <- density(___, na.rm = TRUE)
d.e <- density(___, na.rm = TRUE)
d.n <- density(___, na.rm = TRUE)

# Overlay density plots
plot_ly() %>%
  add_lines(x = ___, y = ___, name = "Activision", fill = 'tozeroy') %>%
  add_lines(x = ___, y = ___, name = "Electronic Arts", fill = 'tozeroy') %>%
  add_lines(x = ___, y = ___, name = "Nintendo", fill = 'tozeroy') %>%
  layout(xaxis = list(title = 'Critic Score'),
         yaxis = list(title = 'Density'))

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