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.
plotly and crosstalk have already been loaded for you.
Deze oefening maakt deel uit van de cursus
Intermediate Interactive Data Visualization with plotly in R
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# 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")) %>%
___(___ = ___)