Building a PairGrid
When exploring a dataset, one of the earliest tasks is exploring the relationship between pairs of variables. This step is normally a precursor to additional investigation.
Seaborn supports this pair-wise analysis using the PairGrid. In this exercise,
we will look at the Car Insurance Premium data we analyzed in Chapter 1. All data
is available in the df variable.
Latihan ini adalah bagian dari kursus
Intermediate Data Visualization with Seaborn
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
# Create a PairGrid with a scatter plot for fatal_collisions and premiums
g = sns.___(df, ___=["fatal_collisions", "premiums"])
g2 = g.___(sns.scatterplot)
plt.show()
plt.clf()