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.
Questo esercizio fa parte del corso
Interactive Data Visualization with plotly in R
Istruzioni dell'esercizio
- Compute density curves of
Critic_Scorefor Activision, EA, and Nintendo, storing them in thed.a,d.e, andd.nobjects, respectively. - Create overlayed density plots of
Critic_Scoreforactivision,ea, andnintendo(in that order).
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# 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'))