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.
This exercise is part of the course
Intermediate Interactive Data Visualization with plotly in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# 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")) %>%
___(___ = ___)