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Adding dropdown menus

Indirect selection is a powerful tool that can facilitate exploration when overplotting is present. In the lesson, you saw this with overlaid time series plots. In this exercise, you will consider how indirect selection can help you "call out" specific points on a scatterplot.

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Questo esercizio fa parte del corso

Intermediate Interactive Data Visualization with plotly in R

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Esercizio pratico interattivo

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# Create a shared data object keyed by state
state_data <- SharedData$new(us2017, ___ = ___, ___ = ___)

# Enable indirect selection by state
state_data %>%
  plot_ly(x = ~home_owners, y = ~house_price, hoverinfo = "text", text = ~state) %>%
  add_markers(size = ~population, marker = list(sizemode = "diameter")) %>%
  ___(___ = ___)
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