Seaborn kdeplot: Plotting 4D Data Distribution with Feature_1

This code snippet utilizes the kdeplot function from the Seaborn library to create a kernel density estimation plot. with_Feature_1_sample_array is a tuple consisting of four lists, each of length 4, with values 1, 2, 3, and 4. This sample data represents a four-dimensional dataset, essentially capturing the distribution of values for four variables.

The resulting kernel density estimation plot will display four curves, each representing the distribution of values for one of the four dimensions. As each variable has the same range of values, the four curves should have similar shapes and positions. The plot uses dashed lines ('--') for the curves and includes a label 'With Feature_1' for the legend. The exact shapes and positions of the curves will depend on the actual distribution of the sample data.