Boxplots

library(plotly)

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p <- plot_ly(diamonds, y = ~price, color = I("black"), 
              alpha = 0.1, boxpoints = "suspectedoutliers")
p1 <- p %>% add_boxplot(x = ~cut)
subplot(
  p1, shareY = TRUE
) %>% hide_legend()

library(plotly)

plot_ly(diamonds, x = ~price, y = ~interaction(clarity, cut)) %>%
  add_boxplot(marker = list(color = "orange", size = 4)) %>%
  layout(yaxis = list(title = "Interaction of Clarity and Cut", tickangle = 45), 
         xaxis = list(title = "Price"))

library(tidyverse)

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library(plotly)


d <- diamonds %>%
  mutate(cc = interaction(clarity, cut))


lvls <- d %>%
  group_by(cc) %>%
  summarise(m = median(price)) %>%
  arrange(m) %>%
  pull(cc)

# Graficar con Plotly
plot_ly(d, x = ~price, y = ~factor(cc, lvls)) %>%
  add_boxplot(color = ~clarity) %>%
  layout(yaxis = list(title = ""),
         title = "Gráfico de cajas de precio vs. interacción de claridad y corte de diamantes",
         xaxis = list(title = "Precio"))