{description}
{algorithm}
Properties
$ n = $ {stat[Properties][Size]:g}
$ f_{{BC}} = $ {stat[Properties][Bessel's Correction]:g}
$ r = $ {assortativity:g}
$ C = $ {centralization:g}
Location
$ x_{{(1)}} = $ {stat[Location][Min]:g}
$ x_{{(n)}} = $ {stat[Location][Max]:g}
$ \widetilde{{x}}_{{O_{{min}}}} = $ {stat[Location][Outlier (Lower)][0]:g}
$ \widetilde{{x}}_{{N_{{min}}}} = $ {stat[Location][Outlier (Lower)][1]:g}
$ \widetilde{{x}}_{{0.25}} = $ {stat[Location][1st Quartile]:g}
$ \widetilde{{x}}_{{Med}} = $ {stat[Location][Median]:g}
$ \widetilde{{x}}_{{0.75}} = $ {stat[Location][3rd Quartile]:g}
$ \widetilde{{x}}_{{N_{{max}}}} = $ {stat[Location][Outlier (Upper)][1]:g}
$ \widetilde{{x}}_{{O_{{max}}}} = $ {stat[Location][Outlier (Upper)][0]:g}
$ \overline{{x}} = $ {stat[Location][Arithmetic Mean]:g}
$ \overline{{x}}_{{IQ}} = $ {stat[Location][Interquartile Mean]:g}
$ \overline{{x}}_{{R}} = $ {stat[Location][Mid-Range]:g}
$ \overline{{x}}_{{H^{{-1}}}} = $ {stat[Location][Harmonic Mean]:g}
$ \overline{{x}}_{{H^{{2}}}} = $ {stat[Location][Quadratic Mean]:g}
$ \overline{{x}}_{{H^{{3}}}} = $ {stat[Location][Cubic Mean]:g}
Dispersion
$ s^{{2}}_{{x}} = $ {stat[Dispersion][Variance]:g}
$ s_{{x}} = $ {stat[Dispersion][Standard Deviation]:g}
$ v_{{x}} = $ {stat[Dispersion][Coefficient Of Variation]:g}
$ R = $ {stat[Dispersion][Sample Range]:g}
$ R_{{IQ}} = $ {stat[Dispersion][Interquartile Range]:g}
Shape
$ S_{{YP}} = $ {stat[Shape][Skewness YP]:g}
$ S_{{M}} = $ {stat[Shape][Skewness M]:g}
$ \gamma = $ {stat[Shape][Kurtosis]:g}
Rank
$ s^{{2}}_{{rk_{{x}}}} = $ {stat[Dispersion][Variance (Rank)]:g}
$ s_{{rk_{{x}}}} = $ {stat[Dispersion][Standard Deviation (Rank)]:g}
$ v_{{rk_{{x}}}} = $ {stat[Dispersion][Coefficient Of Variation (Rank)]:g}
Binning
$ k_{{PDF}} = $ {stat[Binning][Number Histogram]:g}
$ k_{{CDF}} = $ {stat[Binning][Number CDF]:g}
$ x_{{D_{{PDF}}}} = $ {stat[Binning][Mode][0]:g}
{extentions}