Plot a scatterplot matrix for a list of features, colored by target value.

    Example: `scatterplot_matrix(X, X.columns.tolist(), downsample_frac=0.01)`

    Args:
        df: Pandas dataframe containing the target column (named 'target').
        features: The list of features to include in the correlation plot.
        downsample_frac: Dataframe downsampling rate (0.1 to include 10% of the dataset).
        figsize: The size of the plot.

def scatterplot_matrix(df, features, downsample_frac=None, figsize=(15, 15)):
    """
    Plot a scatterplot matrix for a list of features, colored by target value.

    Example: `scatterplot_matrix(X, X.columns.tolist(), downsample_frac=0.01)`

    Args:
        df: Pandas dataframe containing the target column (named 'target').
        features: The list of features to include in the correlation plot.
        downsample_frac: Dataframe downsampling rate (0.1 to include 10% of the dataset).
        figsize: The size of the plot.
    """

    if downsample_frac:
        df = df.sample(frac=downsample_frac)

    plt.figure(figsize=figsize)
    sns.pairplot(df[features], hue='target')
    plt.show()