pedi - age - - class the matrix in above output gives the correlation between all the pairs of the attribute in dataset reviewing skew of attribute distribution skewness may be defined as the distribution that is assumed to be gaussian but appears distorted or shifted in one direction or anotheror either to the left or right reviewing the skewness of attributes is one of the important tasks due to following reasonspresence of skewness in data requires the correction at data preparation stage so that we can get more accuracy from our model most of the ml algorithms assumes that data has gaussian distribution either normal of bell curved data in pythonwe can easily calculate the skew of each attribute by using skew(function on pandas dataframe example from pandas import read_csv path " :\pima-indians-diabetes csvnames ['preg''plas''pres''skin''test''mass''pedi''age''class'data read_csv(pathnames=namesprint(data skew()output preg plas pres - skin test mass - pedi age class dtypefloat from the above outputpositive or negative skew can be observed if the value is closer to zerothen it shows less skew