Hierarchical clustering: Plotting occupational clusters
You have successfully created all the parts necessary to explore the results of this hierarchical clustering work. In this exercise you will leverage the named assignment vector cut_oes
and the tidy data frame gathered_oes
to analyze the resulting clusters.
Este ejercicio forma parte del curso
Cluster Analysis in R
Instrucciones del ejercicio
- View the assignments of each occupation to their clustering by sorting the
cut_oes
vector usingsort()
. - Use ggplot2 to plot each occupation's average income by year and color the lines by the occupation's assigned cluster.
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# View the clustering assignments by sorting the cluster assignment vector
sort(___)
# Plot the relationship between mean_salary and year and color the lines by the assigned cluster
ggplot(___, aes(x = ___, y = ___, color = factor(___))) +
geom_line(aes(group = occupation))