# # # # #  smarto.csv  # # # # # 


# - - Description - - #

Secondary Manifestations of ARterial Disease


# - - Info - - #

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1021 entries, 0 to 1020
Data columns (total 28 columns):
 #   Column        Non-Null Count  Dtype  
---  ------        --------------  -----  
 0   event         1021 non-null   int64  
 1   time          1021 non-null   float64
 2   fac_sex       1021 non-null   int64  
 3   fac_diabetes  1021 non-null   object 
 4   fac_cerebral  1021 non-null   int64  
 5   fac_aaa       1021 non-null   int64  
 6   fac_periph    1021 non-null   int64  
 7   fac_stenosis  1021 non-null   object 
 8   fac_albumin   1021 non-null   object 
 9   fac_smoking   1021 non-null   object 
 10  fac_alcohol   1021 non-null   object 
 11  num_age       1021 non-null   int64  
 12  num_systbp    1021 non-null   float64
 13  num_diastbp   1021 non-null   float64
 14  num_systh     1021 non-null   float64
 15  num_diasth    1021 non-null   float64
 16  num_length    1021 non-null   float64
 17  num_weight    1021 non-null   float64
 18  num_bmi       1021 non-null   float64
 19  num_chol      1021 non-null   float64
 20  num_hdl       1021 non-null   float64
 21  num_ldl       1021 non-null   float64
 22  num_trig      1021 non-null   float64
 23  num_homoc     1021 non-null   float64
 24  num_glut      1021 non-null   float64
 25  num_creat     1021 non-null   float64
 26  num_imt       1021 non-null   float64
 27  num_packyrs   1021 non-null   float64
dtypes: float64(17), int64(6), object(5)
memory usage: 223.5+ KB



# - - Stats - - #

             event         time      fac_sex  fac_cerebral      fac_aaa   fac_periph      num_age   num_systbp  num_diastbp    num_systh  ...      num_bmi     num_chol      num_hdl      num_ldl     num_trig    num_homoc     num_glut    num_creat      num_imt  num_packyrs
count  1021.000000  1021.000000  1021.000000   1021.000000  1021.000000  1021.000000  1021.000000  1021.000000  1021.000000  1021.000000  ...  1021.000000  1021.000000  1021.000000  1021.000000  1021.000000  1021.000000  1021.000000  1021.000000  1021.000000  1021.000000
mean      0.112635  1446.300686     1.227228      0.242899     0.106758     0.230167    59.141038   139.024486    79.830558   140.948090  ...    26.662106     5.192752     1.244701     3.186445     1.692880    14.335357     6.416552   107.471107     0.957228    22.976885
std       0.316301   643.210006     0.419247      0.429045     0.308957     0.421146    10.328795    19.093382     9.627355    22.690074  ...     3.810191     1.052600     0.370879     1.001498     0.712098     5.933178     2.104386   109.445771     0.328295    20.083913
min       0.000000     1.000000     1.000000      0.000000     0.000000     0.000000    23.000000    97.000000    55.000000    88.000000  ...    16.050000     2.400000     0.550000     0.700000     0.390000     5.100000     3.100000    47.000000     0.360000     0.000000
25%       0.000000   989.000000     1.000000      0.000000     0.000000     0.000000    52.000000   125.000000    73.000000   124.000000  ...    24.160000     4.400000     0.980000     2.480000     1.150000    10.600000     5.300000    78.000000     0.750000     6.100000
50%       0.000000  1289.000000     1.000000      0.000000     0.000000     0.000000    59.000000   137.000000    79.000000   139.000000  ...    26.280000     5.100000     1.180000     3.100000     1.550000    13.000000     5.800000    90.000000     0.880000    20.800000
75%       0.000000  2072.000000     1.000000      0.000000     0.000000     0.000000    67.000000   151.000000    86.000000   155.000000  ...    28.690000     5.800000     1.420000     3.790000     2.040000    16.400000     6.500000   101.000000     1.080000    35.000000
max       1.000000  2554.000000     2.000000      1.000000     1.000000     1.000000    79.000000   211.000000   124.000000   244.000000  ...    43.270000    10.800000     3.310000     9.170000     3.980000    88.000000    18.700000  1099.000000     4.020000   104.000000

[8 rows x 23 columns]


# - - Reference - - #

https://rdrr.io/cran/hdnom/man/smarto.html