>>> import seaborn as sns; sns.set(style="ticks", color_codes=True) >>> iris = sns.load_dataset("iris") >>> g = sns.pairplot(iris)
gives this figure
The seaborn doc gives this explanation about the figure above.
Draw scatterplots for joint relationships and histograms for univariate distributions.
I understand covariance or correlation describes some kind of relationships between multiple random variables.
I cannot understand what is joint relationships.
Are "joint relationships" and "relationships" the same, in the context of probability distribution?
Is "joint relationship" a canonical statistics term?
Are covariance and correlation this kind of joint relationships?
Is this set of scatterplots a visualization of covariance or correlation?
I googled "joint relationship" and find nothing explains whether "joint relationships" and "relationships" are the same.