Values # Quartiles Q1 =df_clust [ 'Health_indeces1 "] . quantile (q=0.25 ) Q3 =df_clust [ 'Health_indeces1 '1 . quantile (q=0.75 ) print ( ' Health_indeces1 - ist Quartile (Q1 ) is : ', Q1 ) print (' Health_indeces1 - 3st Quartile (Q3 ) is : ', Q3 ) print ( ' Interquartile range (IQR ) of Health_indeces1 is ', stats . iqr (df_clust [' Health Health indecesi ist Quartile (Q1 ) is : 641.0 Health_indecesi 3st Quartile (Q3 ) is : 4094.0 Interquartile range (IQR ) of Health_indeces1 is 3453.0 1 ]: print ( 'Number of outliers in Health_indecesl upper , df_clust [df_clust [' Health_in print ( 'Number of outliers in Health_indecesl lower ', df_clust [df_clust [' Health_in print ('% of Outlier in Health_indecesl upper : ", round (df_clust [df_clust [' Health_inde print ('% of Outlier in Health_indecesl lower : ", round (df_clust [df_clust [' Health_inde Number of outliers in Health_indecesl upper 222 Number of outliers in Health_indecesi lower 222 % of Outlier in Health_indecesi upper : 25 % * of Outlier in Health_indecesl lower : 25