Searching for clusters
Persistent selection is a great way to explore potential clusters in your data set, especially when paired with a color selector gadget. In this exercise, your task is to use persistent selection, hover selection, and color to explore potential clusters in scatterplots of 2017 HPI against the percentage of home ownership and the employment rate in a state.
plotly
and crosstalk
have already been loaded for you, and the linked scatterplots are stored in the linked_plots
object.
This exercise is part of the course
Intermediate Interactive Data Visualization with plotly in R
Exercise instructions
- Use
highlight()
to (i) enablepersistent
selection, (ii) enable hover selection, and (iii) add a color selector widget.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Enable persistent hover selection and a color selector
linked_plots %>%
___(___ = ___, ___ = ___, ___ = ___)