Adding checkboxes
Adding checkbox filters allows you to quickly "call out" a group, or set of groups, which is particularly useful when exploring how associations change between groups.
In this exercise, your task is to add a checkbox filter for the region to a scatterplot of the housing price index against homeownership in 2017.
plotly and crosstalk have already been loaded for you, and the data are stored in us2017.
This exercise is part of the course
Intermediate Interactive Data Visualization with plotly in R
Exercise instructions
- Add a checkbox filter for
regionto the left of the scatterplot stored inp17. - Restrict the width of the checkboxes to
3columns, and allow the plot to span the remainder of the columns.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# shared data object
shared_us <- SharedData$new(us2017, key = ~region)
# scatterplot of housing price index against homeownership
p17 <- shared_us %>%
plot_ly(x = ~home_owners, y = ~house_price, color = ~region, height = 400) %>%
add_markers()
# add a column of checkboxes for region to the left of the plot
___(___,
___(id = "region", label = "Region", sharedData = ___, group = ___),
p17
)