import seaborn as sns

sns.set(style="ticks")

# Load the example dataset for Anscombe's quartet

df = sns.load_dataset("anscombe")

# Show the results of a linear regression within each dataset

sns.lmplot(x="x", y="y", col="dataset", hue="dataset", data=df,

           col_wrap=2, ci=None, palette="muted", size=4,

           scatter_kws={"s": 50, "alpha": 1})