Overview

Dataset statistics

Number of variables63
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory55.3 KiB
Average record size in memory566.3 B

Variable types

Categorical10
Numeric53

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000014

Alerts

VITD_VALUE has constant value ""Constant
LAST_UPDT_DT has constant value ""Constant
APRTN_VALUE is highly imbalanced (83.5%)Imbalance
VITB12_VALUE is highly imbalanced (80.9%)Imbalance
ACA_VALUE is highly imbalanced (83.5%)Imbalance
AIRON_VALUE is highly imbalanced (83.5%)Imbalance
COPPR_VALUE is highly imbalanced (51.7%)Imbalance
TRANSFA_VALUE is highly imbalanced (85.9%)Imbalance
AFAT_VALUE is highly imbalanced (83.5%)Imbalance
FIBR_VALUE has 30 (30.0%) zerosZeros
MOIST_VALUE has 20 (20.0%) zerosZeros
ASH_VALUE has 22 (22.0%) zerosZeros
VITA_VALUE has 67 (67.0%) zerosZeros
RTNOL_VALUE has 94 (94.0%) zerosZeros
BCRT_VALUE has 48 (48.0%) zerosZeros
VITE_VALUE has 45 (45.0%) zerosZeros
VITK_VALUE has 53 (53.0%) zerosZeros
VITC_VALUE has 43 (43.0%) zerosZeros
VITB1_VALUE has 75 (75.0%) zerosZeros
VITB2_VALUE has 67 (67.0%) zerosZeros
NIACN_VALUE has 31 (31.0%) zerosZeros
VITB6_VALUE has 67 (67.0%) zerosZeros
FOLATE_VALUE has 29 (29.0%) zerosZeros
PANTO_VALUE has 57 (57.0%) zerosZeros
BIOTIN_VALUE has 78 (78.0%) zerosZeros
CA_VALUE has 12 (12.0%) zerosZeros
TOT_CALORIE_VALUE has 2 (2.0%) zerosZeros
VCA_VALUE has 44 (44.0%) zerosZeros
PHOSPHO_VALUE has 18 (18.0%) zerosZeros
NA_VALUE has 13 (13.0%) zerosZeros
CHLOR_VALUE has 74 (74.0%) zerosZeros
POTSSM_VALUE has 12 (12.0%) zerosZeros
MGM_VALUE has 38 (38.0%) zerosZeros
IRON_VALUE has 19 (19.0%) zerosZeros
VIRON_VALUE has 50 (50.0%) zerosZeros
CARBO_VALUE has 15 (15.0%) zerosZeros
ZINC_VALUE has 37 (37.0%) zerosZeros
FLRN_VALUE has 93 (93.0%) zerosZeros
MANG_VALUE has 48 (48.0%) zerosZeros
IDN_VALUE has 86 (86.0%) zerosZeros
SELEN_VALUE has 24 (24.0%) zerosZeros
CHOLE_VALUE has 94 (94.0%) zerosZeros
TFA_VALUE has 66 (66.0%) zerosZeros
SAFA_VALUE has 80 (80.0%) zerosZeros
MUFA_VALUE has 83 (83.0%) zerosZeros
FAT_VALUE has 43 (43.0%) zerosZeros
PUFA_VALUE has 70 (70.0%) zerosZeros
ILE_VALUE has 31 (31.0%) zerosZeros
LEU_VALUE has 31 (31.0%) zerosZeros
LYS_VALUE has 32 (32.0%) zerosZeros
METHIO_VALUE has 31 (31.0%) zerosZeros
PHE_VALUE has 32 (32.0%) zerosZeros
THREO_VALUE has 31 (31.0%) zerosZeros
TRYPTO_VALUE has 35 (35.0%) zerosZeros
VALINE_VALUE has 31 (31.0%) zerosZeros
VFAT_VALUE has 64 (64.0%) zerosZeros
HISTI_VALUE has 32 (32.0%) zerosZeros
ARGI_VALUE has 32 (32.0%) zerosZeros
PROTN_VALUE has 21 (21.0%) zerosZeros
VPRTN_VALUE has 50 (50.0%) zerosZeros

Reproduction

Analysis started2023-12-10 06:20:30.886380
Analysis finished2023-12-10 06:20:31.699484
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

FD_CODE
Categorical

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
AF005080130220
13 
AF005080130240
13 
AF005080130200
12 
AF005080130250
12 
AF005080130230
11 
Other values (5)
39 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAF005080120580
2nd rowAF005080120580
3rd rowAF005080120580
4th rowAF005080120580
5th rowAF005080120580

Common Values

ValueCountFrequency (%)
AF005080130220 13
13.0%
AF005080130240 13
13.0%
AF005080130200 12
12.0%
AF005080130250 12
12.0%
AF005080130230 11
11.0%
AF005080130210 10
10.0%
AF005080120590 8
8.0%
AF005080130260 8
8.0%
AF005080120580 7
7.0%
AF005080120600 6
6.0%

Length

2023-12-10T15:20:31.802871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:20:31.979770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
af005080130220 13
13.0%
af005080130240 13
13.0%
af005080130200 12
12.0%
af005080130250 12
12.0%
af005080130230 11
11.0%
af005080130210 10
10.0%
af005080120590 8
8.0%
af005080130260 8
8.0%
af005080120580 7
7.0%
af005080120600 6
6.0%

FOOD_CODE
Real number (ℝ)

Distinct44
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7177961 × 109
Minimum1.20401 × 109
Maximum1.620001 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:32.223573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.20401 × 109
5-th percentile3.2001735 × 109
Q16.10138 × 109
median6.200855 × 109
Q31.4200268 × 1010
95-th percentile1.620001 × 1010
Maximum1.620001 × 1010
Range1.4996 × 1010
Interquartile range (IQR)8.0988875 × 109

Descriptive statistics

Standard deviation4.4519966 × 109
Coefficient of variation (CV)0.51067914
Kurtosis-1.0500858
Mean8.7177961 × 109
Median Absolute Deviation (MAD)1.0019 × 108
Skewness0.73020228
Sum8.7177961 × 1011
Variance1.9820274 × 1019
MonotonicityNot monotonic
2023-12-10T15:20:32.467579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
6200620010 10
 
10.0%
6200510010 7
 
7.0%
6101380010 6
 
6.0%
6101090010 5
 
5.0%
6201950020 5
 
5.0%
14200290010 4
 
4.0%
16100730020 4
 
4.0%
6201360020 3
 
3.0%
3100030000 3
 
3.0%
16200010020 3
 
3.0%
Other values (34) 50
50.0%
ValueCountFrequency (%)
1204010010 1
 
1.0%
3100030000 3
3.0%
3200050060 1
 
1.0%
3200180040 3
3.0%
5100200060 1
 
1.0%
5200200020 2
 
2.0%
6100200110 2
 
2.0%
6100240030 2
 
2.0%
6101090010 5
5.0%
6101180030 1
 
1.0%
ValueCountFrequency (%)
16200010050 3
3.0%
16200010020 3
3.0%
16100730020 4
4.0%
16100320010 2
2.0%
16100050010 2
2.0%
16100010040 2
2.0%
15201150010 2
2.0%
14300290010 2
2.0%
14300220010 1
 
1.0%
14200290010 4
4.0%

APRTN_VALUE
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
95 
6.08
 
2
7.46
 
1
22.22
 
1
5.92
 
1

Length

Max length5
Median length3
Mean length3.06
Min length3

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 95
95.0%
6.08 2
 
2.0%
7.46 1
 
1.0%
22.22 1
 
1.0%
5.92 1
 
1.0%

Length

2023-12-10T15:20:32.725309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:20:32.917423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 95
95.0%
6.08 2
 
2.0%
7.46 1
 
1.0%
22.22 1
 
1.0%
5.92 1
 
1.0%

FIBR_VALUE
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1478
Minimum0
Maximum0.88
Zeros30
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:33.270647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.06
Q30.1825
95-th percentile0.601
Maximum0.88
Range0.88
Interquartile range (IQR)0.1825

Descriptive statistics

Standard deviation0.21068709
Coefficient of variation (CV)1.4254878
Kurtosis3.3139152
Mean0.1478
Median Absolute Deviation (MAD)0.06
Skewness1.9186202
Sum14.78
Variance0.044389051
MonotonicityNot monotonic
2023-12-10T15:20:33.525999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.0 30
30.0%
0.01 7
 
7.0%
0.12 5
 
5.0%
0.06 4
 
4.0%
0.05 4
 
4.0%
0.03 3
 
3.0%
0.17 3
 
3.0%
0.13 3
 
3.0%
0.04 3
 
3.0%
0.51 3
 
3.0%
Other values (23) 35
35.0%
ValueCountFrequency (%)
0.0 30
30.0%
0.01 7
 
7.0%
0.02 1
 
1.0%
0.03 3
 
3.0%
0.04 3
 
3.0%
0.05 4
 
4.0%
0.06 4
 
4.0%
0.07 3
 
3.0%
0.08 2
 
2.0%
0.09 1
 
1.0%
ValueCountFrequency (%)
0.88 3
3.0%
0.7 1
 
1.0%
0.62 1
 
1.0%
0.6 1
 
1.0%
0.54 1
 
1.0%
0.51 3
3.0%
0.47 2
2.0%
0.4 2
2.0%
0.39 1
 
1.0%
0.31 2
2.0%

MOIST_VALUE
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1533
Minimum0
Maximum76.12
Zeros20
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:33.916779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.075
median1.29
Q39.2
95-th percentile30.1705
Maximum76.12
Range76.12
Interquartile range (IQR)9.125

Descriptive statistics

Standard deviation12.452835
Coefficient of variation (CV)1.7408517
Kurtosis9.9215546
Mean7.1533
Median Absolute Deviation (MAD)1.29
Skewness2.784086
Sum715.33
Variance155.0731
MonotonicityNot monotonic
2023-12-10T15:20:34.292721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 20
 
20.0%
1.26 4
 
4.0%
9.2 3
 
3.0%
37.4 3
 
3.0%
2.73 3
 
3.0%
1.89 3
 
3.0%
0.6 2
 
2.0%
27.6 2
 
2.0%
4.56 2
 
2.0%
0.06 2
 
2.0%
Other values (46) 56
56.0%
ValueCountFrequency (%)
0.0 20
20.0%
0.01 1
 
1.0%
0.02 1
 
1.0%
0.03 1
 
1.0%
0.06 2
 
2.0%
0.08 1
 
1.0%
0.13 2
 
2.0%
0.32 1
 
1.0%
0.35 1
 
1.0%
0.44 1
 
1.0%
ValueCountFrequency (%)
76.12 1
 
1.0%
47.95 1
 
1.0%
37.4 3
3.0%
29.79 1
 
1.0%
28.68 1
 
1.0%
27.6 2
2.0%
24.03 1
 
1.0%
22.91 1
 
1.0%
22.21 2
2.0%
20.35 1
 
1.0%

ASH_VALUE
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0891
Minimum0
Maximum1.1
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:34.551158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.03
Q30.1025
95-th percentile0.3505
Maximum1.1
Range1.1
Interquartile range (IQR)0.0925

Descriptive statistics

Standard deviation0.16178983
Coefficient of variation (CV)1.815823
Kurtosis19.313533
Mean0.0891
Median Absolute Deviation (MAD)0.03
Skewness3.9212134
Sum8.91
Variance0.026175949
MonotonicityNot monotonic
2023-12-10T15:20:34.784602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.0 22
22.0%
0.02 13
13.0%
0.03 11
11.0%
0.01 10
10.0%
0.05 7
 
7.0%
0.16 5
 
5.0%
0.08 3
 
3.0%
0.04 3
 
3.0%
0.14 3
 
3.0%
0.07 3
 
3.0%
Other values (15) 20
20.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.01 10
10.0%
0.02 13
13.0%
0.03 11
11.0%
0.04 3
 
3.0%
0.05 7
 
7.0%
0.06 1
 
1.0%
0.07 3
 
3.0%
0.08 3
 
3.0%
0.1 2
 
2.0%
ValueCountFrequency (%)
1.1 1
1.0%
0.85 1
1.0%
0.48 1
1.0%
0.38 1
1.0%
0.36 1
1.0%
0.35 1
1.0%
0.3 2
2.0%
0.29 2
2.0%
0.25 1
1.0%
0.19 1
1.0%

VITA_VALUE
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5204
Minimum0
Maximum251.33
Zeros67
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:35.002754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.46
95-th percentile77.9135
Maximum251.33
Range251.33
Interquartile range (IQR)0.46

Descriptive statistics

Standard deviation41.021256
Coefficient of variation (CV)3.2763534
Kurtosis17.857177
Mean12.5204
Median Absolute Deviation (MAD)0
Skewness4.1447747
Sum1252.04
Variance1682.7434
MonotonicityNot monotonic
2023-12-10T15:20:35.243726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 67
67.0%
0.4 3
 
3.0%
10.78 2
 
2.0%
2.58 2
 
2.0%
125.67 2
 
2.0%
16.0 2
 
2.0%
34.4 2
 
2.0%
188.5 2
 
2.0%
0.09 2
 
2.0%
3.88 2
 
2.0%
Other values (14) 14
 
14.0%
ValueCountFrequency (%)
0.0 67
67.0%
0.01 1
 
1.0%
0.02 1
 
1.0%
0.09 2
 
2.0%
0.11 1
 
1.0%
0.4 3
 
3.0%
0.64 1
 
1.0%
2.4 1
 
1.0%
2.58 2
 
2.0%
3.88 2
 
2.0%
ValueCountFrequency (%)
251.33 1
1.0%
188.5 2
2.0%
125.67 2
2.0%
75.4 1
1.0%
66.13 1
1.0%
54.04 1
1.0%
34.4 2
2.0%
16.0 2
2.0%
12.8 1
1.0%
10.78 2
2.0%

RTNOL_VALUE
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4796
Minimum0
Maximum16
Zeros94
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:35.433294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.336
Maximum16
Range16
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5784468
Coefficient of variation (CV)5.3762443
Kurtosis30.681821
Mean0.4796
Median Absolute Deviation (MAD)0
Skewness5.6170311
Sum47.96
Variance6.6483877
MonotonicityNot monotonic
2023-12-10T15:20:35.613757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 94
94.0%
16.0 2
 
2.0%
12.8 1
 
1.0%
2.2 1
 
1.0%
0.64 1
 
1.0%
0.32 1
 
1.0%
ValueCountFrequency (%)
0.0 94
94.0%
0.32 1
 
1.0%
0.64 1
 
1.0%
2.2 1
 
1.0%
12.8 1
 
1.0%
16.0 2
 
2.0%
ValueCountFrequency (%)
16.0 2
 
2.0%
12.8 1
 
1.0%
2.2 1
 
1.0%
0.64 1
 
1.0%
0.32 1
 
1.0%
0.0 94
94.0%

BCRT_VALUE
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.8019
Minimum0
Maximum1508
Zeros48
Zeros (%)48.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:35.910934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.075
Q313.905
95-th percentile467.48
Maximum1508
Range1508
Interquartile range (IQR)13.905

Descriptive statistics

Standard deviation247.86875
Coefficient of variation (CV)3.1858959
Kurtosis17.115661
Mean77.8019
Median Absolute Deviation (MAD)0.075
Skewness4.0438821
Sum7780.19
Variance61438.918
MonotonicityNot monotonic
2023-12-10T15:20:36.172343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 48
48.0%
2.4 3
 
3.0%
0.2 3
 
3.0%
0.29 2
 
2.0%
0.19 2
 
2.0%
0.13 2
 
2.0%
206.4 2
 
2.0%
0.53 2
 
2.0%
754.0 2
 
2.0%
1131.0 2
 
2.0%
Other values (28) 32
32.0%
ValueCountFrequency (%)
0.0 48
48.0%
0.03 1
 
1.0%
0.05 1
 
1.0%
0.1 1
 
1.0%
0.13 2
 
2.0%
0.16 1
 
1.0%
0.19 2
 
2.0%
0.2 3
 
3.0%
0.23 1
 
1.0%
0.29 2
 
2.0%
ValueCountFrequency (%)
1508.0 1
1.0%
1131.0 2
2.0%
754.0 2
2.0%
452.4 1
1.0%
396.76 1
1.0%
376.5 1
1.0%
324.22 1
1.0%
206.4 2
2.0%
86.4 1
1.0%
64.66 2
2.0%

VITD_VALUE
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:20:36.395032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:20:36.576496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

VITE_VALUE
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1925
Minimum0
Maximum5.15
Zeros45
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:36.771982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.0525
95-th percentile0.453
Maximum5.15
Range5.15
Interquartile range (IQR)0.0525

Descriptive statistics

Standard deviation0.7320338
Coefficient of variation (CV)3.802773
Kurtosis27.396394
Mean0.1925
Median Absolute Deviation (MAD)0.01
Skewness5.1157364
Sum19.25
Variance0.53587348
MonotonicityNot monotonic
2023-12-10T15:20:37.051420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 45
45.0%
0.01 15
 
15.0%
0.04 6
 
6.0%
0.03 6
 
6.0%
3.09 3
 
3.0%
0.1 3
 
3.0%
0.16 2
 
2.0%
0.07 2
 
2.0%
0.06 2
 
2.0%
0.29 2
 
2.0%
Other values (12) 14
 
14.0%
ValueCountFrequency (%)
0.0 45
45.0%
0.01 15
 
15.0%
0.02 1
 
1.0%
0.03 6
 
6.0%
0.04 6
 
6.0%
0.05 2
 
2.0%
0.06 2
 
2.0%
0.07 2
 
2.0%
0.08 1
 
1.0%
0.09 2
 
2.0%
ValueCountFrequency (%)
5.15 1
 
1.0%
3.09 3
3.0%
0.89 1
 
1.0%
0.43 1
 
1.0%
0.42 1
 
1.0%
0.29 2
2.0%
0.23 1
 
1.0%
0.21 1
 
1.0%
0.16 2
2.0%
0.13 1
 
1.0%

VITK_VALUE
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3599
Minimum0
Maximum68.54
Zeros53
Zeros (%)53.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:37.377993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.65
95-th percentile3.7925
Maximum68.54
Range68.54
Interquartile range (IQR)0.65

Descriptive statistics

Standard deviation6.9621897
Coefficient of variation (CV)5.1196336
Kurtosis89.977859
Mean1.3599
Median Absolute Deviation (MAD)0
Skewness9.2835362
Sum135.99
Variance48.472086
MonotonicityNot monotonic
2023-12-10T15:20:37.735397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0.0 53
53.0%
0.03 4
 
4.0%
0.14 3
 
3.0%
0.01 3
 
3.0%
5.93 3
 
3.0%
3.68 2
 
2.0%
1.08 2
 
2.0%
0.06 2
 
2.0%
0.07 2
 
2.0%
1.98 2
 
2.0%
Other values (20) 24
24.0%
ValueCountFrequency (%)
0.0 53
53.0%
0.01 3
 
3.0%
0.03 4
 
4.0%
0.04 2
 
2.0%
0.06 2
 
2.0%
0.07 2
 
2.0%
0.14 3
 
3.0%
0.16 1
 
1.0%
0.19 1
 
1.0%
0.48 2
 
2.0%
ValueCountFrequency (%)
68.54 1
 
1.0%
9.88 1
 
1.0%
5.93 3
3.0%
3.68 2
2.0%
2.68 1
 
1.0%
2.64 1
 
1.0%
2.46 1
 
1.0%
2.26 1
 
1.0%
2.21 1
 
1.0%
1.98 2
2.0%

FD_QY_VALUE
Real number (ℝ)

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.413
Minimum0.1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:37.990412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.4
Q11
median3
Q310
95-th percentile32.15
Maximum50
Range49.9
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.988392
Coefficient of variation (CV)1.4249842
Kurtosis1.8370087
Mean8.413
Median Absolute Deviation (MAD)2
Skewness1.7369176
Sum841.3
Variance143.72155
MonotonicityNot monotonic
2023-12-10T15:20:38.291492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1.0 18
18.0%
3.0 13
13.0%
2.0 11
11.0%
0.5 7
 
7.0%
5.0 7
 
7.0%
32.0 7
 
7.0%
10.0 6
 
6.0%
30.0 3
 
3.0%
1.5 3
 
3.0%
0.3 3
 
3.0%
Other values (12) 22
22.0%
ValueCountFrequency (%)
0.1 1
 
1.0%
0.3 3
 
3.0%
0.4 2
 
2.0%
0.5 7
 
7.0%
1.0 18
18.0%
1.5 3
 
3.0%
2.0 11
11.0%
2.1 3
 
3.0%
3.0 13
13.0%
4.3 2
 
2.0%
ValueCountFrequency (%)
50.0 1
 
1.0%
40.0 3
3.0%
35.0 1
 
1.0%
32.0 7
7.0%
30.0 3
3.0%
20.0 2
 
2.0%
15.0 2
 
2.0%
14.3 2
 
2.0%
13.0 1
 
1.0%
10.0 6
6.0%

VITC_VALUE
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1658
Minimum0
Maximum15.47
Zeros43
Zeros (%)43.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:39.035807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.155
Q30.855
95-th percentile5.498
Maximum15.47
Range15.47
Interquartile range (IQR)0.855

Descriptive statistics

Standard deviation3.0201251
Coefficient of variation (CV)2.5906031
Kurtosis14.790582
Mean1.1658
Median Absolute Deviation (MAD)0.155
Skewness3.8986323
Sum116.58
Variance9.1211559
MonotonicityNot monotonic
2023-12-10T15:20:39.453560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 43
43.0%
0.56 4
 
4.0%
14.4 3
 
3.0%
0.84 3
 
3.0%
1.2 3
 
3.0%
0.02 3
 
3.0%
0.59 3
 
3.0%
0.28 2
 
2.0%
0.63 2
 
2.0%
1.16 2
 
2.0%
Other values (27) 32
32.0%
ValueCountFrequency (%)
0.0 43
43.0%
0.01 1
 
1.0%
0.02 3
 
3.0%
0.03 1
 
1.0%
0.11 1
 
1.0%
0.14 1
 
1.0%
0.17 1
 
1.0%
0.22 1
 
1.0%
0.28 2
 
2.0%
0.32 2
 
2.0%
ValueCountFrequency (%)
15.47 1
 
1.0%
14.4 3
3.0%
9.26 1
 
1.0%
5.3 1
 
1.0%
3.91 1
 
1.0%
2.21 1
 
1.0%
2.2 1
 
1.0%
2.17 1
 
1.0%
1.76 2
2.0%
1.6 1
 
1.0%

VITB1_VALUE
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0124
Minimum0
Maximum0.44
Zeros75
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:39.695764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0025
95-th percentile0.0505
Maximum0.44
Range0.44
Interquartile range (IQR)0.0025

Descriptive statistics

Standard deviation0.053562387
Coefficient of variation (CV)4.3195473
Kurtosis48.307204
Mean0.0124
Median Absolute Deviation (MAD)0
Skewness6.7192548
Sum1.24
Variance0.0028689293
MonotonicityNot monotonic
2023-12-10T15:20:39.885814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 75
75.0%
0.01 14
 
14.0%
0.02 4
 
4.0%
0.06 2
 
2.0%
0.03 1
 
1.0%
0.05 1
 
1.0%
0.44 1
 
1.0%
0.29 1
 
1.0%
0.09 1
 
1.0%
ValueCountFrequency (%)
0.0 75
75.0%
0.01 14
 
14.0%
0.02 4
 
4.0%
0.03 1
 
1.0%
0.05 1
 
1.0%
0.06 2
 
2.0%
0.09 1
 
1.0%
0.29 1
 
1.0%
0.44 1
 
1.0%
ValueCountFrequency (%)
0.44 1
 
1.0%
0.29 1
 
1.0%
0.09 1
 
1.0%
0.06 2
 
2.0%
0.05 1
 
1.0%
0.03 1
 
1.0%
0.02 4
 
4.0%
0.01 14
 
14.0%
0.0 75
75.0%

VITB2_VALUE
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0086
Minimum0
Maximum0.11
Zeros67
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:40.087710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.06
Maximum0.11
Range0.11
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.019746883
Coefficient of variation (CV)2.2961492
Kurtosis12.363627
Mean0.0086
Median Absolute Deviation (MAD)0
Skewness3.3951794
Sum0.86
Variance0.00038993939
MonotonicityNot monotonic
2023-12-10T15:20:40.256755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 67
67.0%
0.01 18
 
18.0%
0.02 6
 
6.0%
0.03 3
 
3.0%
0.07 2
 
2.0%
0.06 2
 
2.0%
0.1 1
 
1.0%
0.11 1
 
1.0%
ValueCountFrequency (%)
0.0 67
67.0%
0.01 18
 
18.0%
0.02 6
 
6.0%
0.03 3
 
3.0%
0.06 2
 
2.0%
0.07 2
 
2.0%
0.1 1
 
1.0%
0.11 1
 
1.0%
ValueCountFrequency (%)
0.11 1
 
1.0%
0.1 1
 
1.0%
0.07 2
 
2.0%
0.06 2
 
2.0%
0.03 3
 
3.0%
0.02 6
 
6.0%
0.01 18
 
18.0%
0.0 67
67.0%

NIACN_VALUE
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.087
Minimum0
Maximum1.57
Zeros31
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:40.462399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.0425
95-th percentile0.5825
Maximum1.57
Range1.57
Interquartile range (IQR)0.0425

Descriptive statistics

Standard deviation0.23094667
Coefficient of variation (CV)2.6545594
Kurtosis20.108017
Mean0.087
Median Absolute Deviation (MAD)0.01
Skewness4.2185916
Sum8.7
Variance0.053336364
MonotonicityNot monotonic
2023-12-10T15:20:40.696953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 31
31.0%
0.01 25
25.0%
0.02 11
 
11.0%
0.03 7
 
7.0%
0.12 5
 
5.0%
0.08 3
 
3.0%
0.86 2
 
2.0%
0.14 2
 
2.0%
0.16 2
 
2.0%
0.11 2
 
2.0%
Other values (10) 10
 
10.0%
ValueCountFrequency (%)
0.0 31
31.0%
0.01 25
25.0%
0.02 11
 
11.0%
0.03 7
 
7.0%
0.04 1
 
1.0%
0.05 1
 
1.0%
0.07 1
 
1.0%
0.08 3
 
3.0%
0.1 1
 
1.0%
0.11 2
 
2.0%
ValueCountFrequency (%)
1.57 1
 
1.0%
0.88 1
 
1.0%
0.86 2
 
2.0%
0.63 1
 
1.0%
0.58 1
 
1.0%
0.57 1
 
1.0%
0.16 2
 
2.0%
0.15 1
 
1.0%
0.14 2
 
2.0%
0.12 5
5.0%

VITB6_VALUE
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.013
Minimum0
Maximum0.25
Zeros67
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:40.925029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.1
Maximum0.25
Range0.25
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.036831585
Coefficient of variation (CV)2.8331988
Kurtosis21.812121
Mean0.013
Median Absolute Deviation (MAD)0
Skewness4.4027581
Sum1.3
Variance0.0013565657
MonotonicityNot monotonic
2023-12-10T15:20:41.156613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 67
67.0%
0.01 17
 
17.0%
0.02 6
 
6.0%
0.04 3
 
3.0%
0.1 2
 
2.0%
0.11 1
 
1.0%
0.18 1
 
1.0%
0.25 1
 
1.0%
0.12 1
 
1.0%
0.03 1
 
1.0%
ValueCountFrequency (%)
0.0 67
67.0%
0.01 17
 
17.0%
0.02 6
 
6.0%
0.03 1
 
1.0%
0.04 3
 
3.0%
0.1 2
 
2.0%
0.11 1
 
1.0%
0.12 1
 
1.0%
0.18 1
 
1.0%
0.25 1
 
1.0%
ValueCountFrequency (%)
0.25 1
 
1.0%
0.18 1
 
1.0%
0.12 1
 
1.0%
0.11 1
 
1.0%
0.1 2
 
2.0%
0.04 3
 
3.0%
0.03 1
 
1.0%
0.02 6
 
6.0%
0.01 17
 
17.0%
0.0 67
67.0%

FOLATE_VALUE
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0599
Minimum0
Maximum39.2
Zeros29
Zeros (%)29.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:41.459696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.94
Q32.96
95-th percentile13.891
Maximum39.2
Range39.2
Interquartile range (IQR)2.96

Descriptive statistics

Standard deviation7.0776957
Coefficient of variation (CV)2.313048
Kurtosis19.129888
Mean3.0599
Median Absolute Deviation (MAD)0.94
Skewness4.2589142
Sum305.99
Variance50.093777
MonotonicityNot monotonic
2023-12-10T15:20:41.831235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 29
29.0%
1.73 4
 
4.0%
0.45 4
 
4.0%
39.2 3
 
3.0%
2.27 3
 
3.0%
5.68 3
 
3.0%
1.1 3
 
3.0%
5.34 3
 
3.0%
0.86 2
 
2.0%
3.41 2
 
2.0%
Other values (36) 44
44.0%
ValueCountFrequency (%)
0.0 29
29.0%
0.01 1
 
1.0%
0.04 2
 
2.0%
0.05 1
 
1.0%
0.22 2
 
2.0%
0.23 1
 
1.0%
0.25 1
 
1.0%
0.29 1
 
1.0%
0.35 1
 
1.0%
0.36 2
 
2.0%
ValueCountFrequency (%)
39.2 3
3.0%
16.2 1
 
1.0%
16.0 1
 
1.0%
13.78 1
 
1.0%
10.56 1
 
1.0%
6.22 1
 
1.0%
5.68 3
3.0%
5.34 3
3.0%
4.67 2
2.0%
4.4 1
 
1.0%

VITB12_VALUE
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
94 
0.1
 
2
0.12
 
2
0.81
 
1
0.2
 
1

Length

Max length4
Median length3
Mean length3.03
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 94
94.0%
0.1 2
 
2.0%
0.12 2
 
2.0%
0.81 1
 
1.0%
0.2 1
 
1.0%

Length

2023-12-10T15:20:42.131245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:20:42.382816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 94
94.0%
0.1 2
 
2.0%
0.12 2
 
2.0%
0.81 1
 
1.0%
0.2 1
 
1.0%

PANTO_VALUE
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0224
Minimum0
Maximum0.29
Zeros57
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:42.544965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.151
Maximum0.29
Range0.29
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.056891177
Coefficient of variation (CV)2.5397847
Kurtosis13.058123
Mean0.0224
Median Absolute Deviation (MAD)0
Skewness3.6233197
Sum2.24
Variance0.0032366061
MonotonicityNot monotonic
2023-12-10T15:20:42.725886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 57
57.0%
0.01 20
 
20.0%
0.03 5
 
5.0%
0.02 5
 
5.0%
0.06 3
 
3.0%
0.29 2
 
2.0%
0.04 2
 
2.0%
0.05 1
 
1.0%
0.26 1
 
1.0%
0.22 1
 
1.0%
Other values (3) 3
 
3.0%
ValueCountFrequency (%)
0.0 57
57.0%
0.01 20
 
20.0%
0.02 5
 
5.0%
0.03 5
 
5.0%
0.04 2
 
2.0%
0.05 1
 
1.0%
0.06 3
 
3.0%
0.1 1
 
1.0%
0.15 1
 
1.0%
0.17 1
 
1.0%
ValueCountFrequency (%)
0.29 2
 
2.0%
0.26 1
 
1.0%
0.22 1
 
1.0%
0.17 1
 
1.0%
0.15 1
 
1.0%
0.1 1
 
1.0%
0.06 3
3.0%
0.05 1
 
1.0%
0.04 2
 
2.0%
0.03 5
5.0%

BIOTIN_VALUE
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3065
Minimum0
Maximum21.22
Zeros78
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:43.079686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.7525
Maximum21.22
Range21.22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1249615
Coefficient of variation (CV)6.9329902
Kurtosis97.598624
Mean0.3065
Median Absolute Deviation (MAD)0
Skewness9.8243093
Sum30.65
Variance4.5154614
MonotonicityNot monotonic
2023-12-10T15:20:43.295337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 78
78.0%
0.8 3
 
3.0%
0.06 3
 
3.0%
0.5 3
 
3.0%
0.64 2
 
2.0%
0.75 2
 
2.0%
0.17 2
 
2.0%
0.08 2
 
2.0%
21.22 1
 
1.0%
1.0 1
 
1.0%
Other values (3) 3
 
3.0%
ValueCountFrequency (%)
0.0 78
78.0%
0.06 3
 
3.0%
0.08 2
 
2.0%
0.17 2
 
2.0%
0.22 1
 
1.0%
0.3 1
 
1.0%
0.5 3
 
3.0%
0.55 1
 
1.0%
0.64 2
 
2.0%
0.75 2
 
2.0%
ValueCountFrequency (%)
21.22 1
 
1.0%
1.0 1
 
1.0%
0.8 3
3.0%
0.75 2
2.0%
0.64 2
2.0%
0.55 1
 
1.0%
0.5 3
3.0%
0.3 1
 
1.0%
0.22 1
 
1.0%
0.17 2
2.0%

CA_VALUE
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2539
Minimum0
Maximum43.5
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:43.653678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.15
median0.44
Q32.4075
95-th percentile9.1
Maximum43.5
Range43.5
Interquartile range (IQR)2.2575

Descriptive statistics

Standard deviation5.0156514
Coefficient of variation (CV)2.2253212
Kurtosis46.585242
Mean2.2539
Median Absolute Deviation (MAD)0.44
Skewness6.0247824
Sum225.39
Variance25.156759
MonotonicityNot monotonic
2023-12-10T15:20:44.010541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
1.5 5
 
5.0%
0.2 4
 
4.0%
11.6 3
 
3.0%
0.3 3
 
3.0%
0.39 3
 
3.0%
0.03 3
 
3.0%
0.38 3
 
3.0%
4.8 2
 
2.0%
0.25 2
 
2.0%
Other values (44) 60
60.0%
ValueCountFrequency (%)
0.0 12
12.0%
0.02 1
 
1.0%
0.03 3
 
3.0%
0.05 2
 
2.0%
0.06 1
 
1.0%
0.09 2
 
2.0%
0.1 2
 
2.0%
0.12 2
 
2.0%
0.16 2
 
2.0%
0.18 2
 
2.0%
ValueCountFrequency (%)
43.5 1
 
1.0%
11.6 3
3.0%
11.0 1
 
1.0%
9.0 1
 
1.0%
8.54 1
 
1.0%
8.0 1
 
1.0%
6.0 2
2.0%
5.75 1
 
1.0%
4.8 2
2.0%
4.5 2
2.0%

TOT_CALORIE_VALUE
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.3566
Minimum0
Maximum198
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:44.318198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.308
Q11.005
median2.7
Q37.6
95-th percentile44.87
Maximum198
Range198
Interquartile range (IQR)6.595

Descriptive statistics

Standard deviation24.300003
Coefficient of variation (CV)2.3463302
Kurtosis36.910364
Mean10.3566
Median Absolute Deviation (MAD)2.17
Skewness5.4184938
Sum1035.66
Variance590.49015
MonotonicityNot monotonic
2023-12-10T15:20:44.607283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.52 4
 
4.0%
2.52 4
 
4.0%
0.53 4
 
4.0%
7.6 3
 
3.0%
2.7 3
 
3.0%
17.68 2
 
2.0%
1.03 2
 
2.0%
8.1 2
 
2.0%
0.0 2
 
2.0%
0.78 2
 
2.0%
Other values (60) 72
72.0%
ValueCountFrequency (%)
0.0 2
2.0%
0.21 1
 
1.0%
0.26 1
 
1.0%
0.27 1
 
1.0%
0.31 1
 
1.0%
0.39 2
2.0%
0.42 2
2.0%
0.52 2
2.0%
0.53 4
4.0%
0.58 1
 
1.0%
ValueCountFrequency (%)
198.0 1
 
1.0%
83.65 1
 
1.0%
75.2 1
 
1.0%
57.6 2
2.0%
44.2 1
 
1.0%
43.2 1
 
1.0%
32.64 1
 
1.0%
26.52 4
4.0%
19.26 1
 
1.0%
19.2 1
 
1.0%

VCA_VALUE
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1358
Minimum0
Maximum11.6
Zeros44
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:44.917674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.075
Q31.03
95-th percentile6
Maximum11.6
Range11.6
Interquartile range (IQR)1.03

Descriptive statistics

Standard deviation2.4294262
Coefficient of variation (CV)2.1389559
Kurtosis9.333007
Mean1.1358
Median Absolute Deviation (MAD)0.075
Skewness2.9903689
Sum113.58
Variance5.9021115
MonotonicityNot monotonic
2023-12-10T15:20:45.154531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0.0 44
44.0%
0.2 4
 
4.0%
11.6 3
 
3.0%
0.39 3
 
3.0%
0.38 2
 
2.0%
0.3 2
 
2.0%
0.12 2
 
2.0%
6.0 2
 
2.0%
0.63 2
 
2.0%
2.43 2
 
2.0%
Other values (27) 34
34.0%
ValueCountFrequency (%)
0.0 44
44.0%
0.02 1
 
1.0%
0.03 2
 
2.0%
0.05 2
 
2.0%
0.06 1
 
1.0%
0.09 1
 
1.0%
0.1 2
 
2.0%
0.12 2
 
2.0%
0.16 2
 
2.0%
0.19 1
 
1.0%
ValueCountFrequency (%)
11.6 3
3.0%
8.0 1
 
1.0%
6.0 2
2.0%
5.75 1
 
1.0%
4.8 1
 
1.0%
4.05 1
 
1.0%
4.0 2
2.0%
3.75 1
 
1.0%
3.45 1
 
1.0%
2.43 2
2.0%

ACA_VALUE
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
95 
3.2
 
2
0.96
 
1
11.0
 
1
0.32
 
1

Length

Max length4
Median length3
Mean length3.03
Min length3

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 95
95.0%
3.2 2
 
2.0%
0.96 1
 
1.0%
11.0 1
 
1.0%
0.32 1
 
1.0%

Length

2023-12-10T15:20:45.399582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:20:45.606934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 95
95.0%
3.2 2
 
2.0%
0.96 1
 
1.0%
11.0 1
 
1.0%
0.32 1
 
1.0%

PHOSPHO_VALUE
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3986
Minimum0
Maximum179.3
Zeros18
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:45.805491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4575
median1.57
Q33.9675
95-th percentile54.4
Maximum179.3
Range179.3
Interquartile range (IQR)3.51

Descriptive statistics

Standard deviation21.827285
Coefficient of variation (CV)2.9501912
Kurtosis40.250419
Mean7.3986
Median Absolute Deviation (MAD)1.57
Skewness5.7920327
Sum739.86
Variance476.43036
MonotonicityNot monotonic
2023-12-10T15:20:46.045217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
 
18.0%
3.28 4
 
4.0%
1.55 4
 
4.0%
2.7 3
 
3.0%
10.0 3
 
3.0%
8.1 3
 
3.0%
1.45 2
 
2.0%
0.67 2
 
2.0%
0.17 2
 
2.0%
1.05 2
 
2.0%
Other values (47) 57
57.0%
ValueCountFrequency (%)
0.0 18
18.0%
0.03 1
 
1.0%
0.08 1
 
1.0%
0.12 1
 
1.0%
0.17 2
 
2.0%
0.33 2
 
2.0%
0.5 1
 
1.0%
0.52 1
 
1.0%
0.56 2
 
2.0%
0.59 1
 
1.0%
ValueCountFrequency (%)
179.3 1
 
1.0%
71.04 1
 
1.0%
64.96 1
 
1.0%
57.28 1
 
1.0%
54.4 2
2.0%
20.0 1
 
1.0%
18.55 1
 
1.0%
12.16 1
 
1.0%
10.0 3
3.0%
8.7 1
 
1.0%

NA_VALUE
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.9803
Minimum0
Maximum286.98
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:46.274237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03
median0.105
Q32
95-th percentile71.57
Maximum286.98
Range286.98
Interquartile range (IQR)1.97

Descriptive statistics

Standard deviation36.38304
Coefficient of variation (CV)3.0369056
Kurtosis33.777732
Mean11.9803
Median Absolute Deviation (MAD)0.105
Skewness5.1684485
Sum1198.03
Variance1323.7256
MonotonicityNot monotonic
2023-12-10T15:20:46.574265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.06 8
 
8.0%
0.03 8
 
8.0%
0.02 7
 
7.0%
0.04 5
 
5.0%
0.3 4
 
4.0%
2.0 3
 
3.0%
0.05 3
 
3.0%
0.15 3
 
3.0%
47.83 2
 
2.0%
Other values (32) 44
44.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.01 1
 
1.0%
0.02 7
7.0%
0.03 8
8.0%
0.04 5
 
5.0%
0.05 3
 
3.0%
0.06 8
8.0%
0.08 1
 
1.0%
0.09 2
 
2.0%
0.1 2
 
2.0%
ValueCountFrequency (%)
286.98 1
1.0%
118.8 1
1.0%
100.79 2
2.0%
71.57 2
2.0%
62.3 1
1.0%
58.58 2
2.0%
47.83 2
2.0%
35.79 1
1.0%
21.12 2
2.0%
18.88 1
1.0%

CHLOR_VALUE
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.59
Minimum0
Maximum27.2
Zeros74
Zeros (%)74.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:46.804373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.045
95-th percentile11.95
Maximum27.2
Range27.2
Interquartile range (IQR)0.045

Descriptive statistics

Standard deviation4.8074164
Coefficient of variation (CV)3.0235323
Kurtosis16.383193
Mean1.59
Median Absolute Deviation (MAD)0
Skewness3.9144548
Sum159
Variance23.111253
MonotonicityNot monotonic
2023-12-10T15:20:46.989584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 74
74.0%
0.6 4
 
4.0%
14.8 3
 
3.0%
27.2 2
 
2.0%
0.9 2
 
2.0%
1.82 2
 
2.0%
8.85 2
 
2.0%
0.3 2
 
2.0%
5.9 2
 
2.0%
11.8 1
 
1.0%
Other values (6) 6
 
6.0%
ValueCountFrequency (%)
0.0 74
74.0%
0.01 1
 
1.0%
0.15 1
 
1.0%
0.3 2
 
2.0%
0.6 4
 
4.0%
0.9 2
 
2.0%
1.5 1
 
1.0%
1.82 2
 
2.0%
2.54 1
 
1.0%
2.72 1
 
1.0%
ValueCountFrequency (%)
27.2 2
2.0%
14.8 3
3.0%
11.8 1
 
1.0%
8.85 2
2.0%
5.9 2
2.0%
3.54 1
 
1.0%
2.72 1
 
1.0%
2.54 1
 
1.0%
1.82 2
2.0%
1.5 1
 
1.0%

POTSSM_VALUE
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.9906
Minimum0
Maximum402.6
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:47.278895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.885
median6.64
Q320.6275
95-th percentile82.7
Maximum402.6
Range402.6
Interquartile range (IQR)18.7425

Descriptive statistics

Standard deviation49.085768
Coefficient of variation (CV)2.1350364
Kurtosis36.995591
Mean22.9906
Median Absolute Deviation (MAD)6.64
Skewness5.3590471
Sum2299.06
Variance2409.4127
MonotonicityNot monotonic
2023-12-10T15:20:47.546428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 12
 
12.0%
13.28 4
 
4.0%
82.0 3
 
3.0%
14.5 3
 
3.0%
0.05 2
 
2.0%
4.8 2
 
2.0%
43.5 2
 
2.0%
0.41 2
 
2.0%
59.25 2
 
2.0%
3.37 2
 
2.0%
Other values (55) 66
66.0%
ValueCountFrequency (%)
0.0 12
12.0%
0.03 1
 
1.0%
0.05 2
 
2.0%
0.06 1
 
1.0%
0.08 1
 
1.0%
0.09 1
 
1.0%
0.12 1
 
1.0%
0.41 2
 
2.0%
1.1 1
 
1.0%
1.18 1
 
1.0%
ValueCountFrequency (%)
402.6 1
 
1.0%
183.0 1
 
1.0%
123.52 1
 
1.0%
113.28 1
 
1.0%
96.0 1
 
1.0%
82.0 3
3.0%
79.0 1
 
1.0%
71.68 1
 
1.0%
59.25 2
2.0%
48.2 1
 
1.0%

MGM_VALUE
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0949
Minimum0
Maximum11.5
Zeros38
Zeros (%)38.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:47.885355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.43
Q30.9625
95-th percentile6
Maximum11.5
Range11.5
Interquartile range (IQR)0.9625

Descriptive statistics

Standard deviation2.0542287
Coefficient of variation (CV)1.8761793
Kurtosis9.620596
Mean1.0949
Median Absolute Deviation (MAD)0.43
Skewness2.9954141
Sum109.49
Variance4.2198555
MonotonicityNot monotonic
2023-12-10T15:20:48.742303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.0 38
38.0%
2.4 4
 
4.0%
0.69 4
 
4.0%
0.5 4
 
4.0%
6.0 3
 
3.0%
1.15 3
 
3.0%
0.8 3
 
3.0%
0.46 3
 
3.0%
0.57 2
 
2.0%
0.75 2
 
2.0%
Other values (28) 34
34.0%
ValueCountFrequency (%)
0.0 38
38.0%
0.06 1
 
1.0%
0.09 1
 
1.0%
0.13 1
 
1.0%
0.19 1
 
1.0%
0.23 2
 
2.0%
0.25 2
 
2.0%
0.37 2
 
2.0%
0.4 2
 
2.0%
0.46 3
 
3.0%
ValueCountFrequency (%)
11.5 1
 
1.0%
8.96 1
 
1.0%
8.32 1
 
1.0%
6.4 1
 
1.0%
6.0 3
3.0%
4.16 1
 
1.0%
4.14 1
 
1.0%
3.53 1
 
1.0%
2.8 1
 
1.0%
2.4 4
4.0%

IRON_VALUE
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1287
Minimum0
Maximum7.04
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:49.129800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.025
Q30.07
95-th percentile0.2045
Maximum7.04
Range7.04
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.70433385
Coefficient of variation (CV)5.4726795
Kurtosis96.40824
Mean0.1287
Median Absolute Deviation (MAD)0.025
Skewness9.7403674
Sum12.87
Variance0.49608617
MonotonicityNot monotonic
2023-12-10T15:20:49.392664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.02 20
20.0%
0.0 19
19.0%
0.01 11
11.0%
0.04 7
 
7.0%
0.06 7
 
7.0%
0.03 6
 
6.0%
0.05 4
 
4.0%
0.11 4
 
4.0%
0.07 4
 
4.0%
0.2 3
 
3.0%
Other values (11) 15
15.0%
ValueCountFrequency (%)
0.0 19
19.0%
0.01 11
11.0%
0.02 20
20.0%
0.03 6
 
6.0%
0.04 7
 
7.0%
0.05 4
 
4.0%
0.06 7
 
7.0%
0.07 4
 
4.0%
0.08 2
 
2.0%
0.1 3
 
3.0%
ValueCountFrequency (%)
7.04 1
 
1.0%
0.58 1
 
1.0%
0.54 1
 
1.0%
0.29 2
2.0%
0.2 3
3.0%
0.19 1
 
1.0%
0.18 1
 
1.0%
0.14 1
 
1.0%
0.13 1
 
1.0%
0.12 1
 
1.0%

VIRON_VALUE
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03
Minimum0
Maximum0.2
Zeros50
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:49.672802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.005
Q30.04
95-th percentile0.1305
Maximum0.2
Range0.2
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.04813701
Coefficient of variation (CV)1.604567
Kurtosis3.9695429
Mean0.03
Median Absolute Deviation (MAD)0.005
Skewness2.0580723
Sum3
Variance0.0023171717
MonotonicityNot monotonic
2023-12-10T15:20:49.921202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 50
50.0%
0.02 9
 
9.0%
0.01 8
 
8.0%
0.04 6
 
6.0%
0.03 4
 
4.0%
0.11 4
 
4.0%
0.06 4
 
4.0%
0.2 3
 
3.0%
0.05 3
 
3.0%
0.08 2
 
2.0%
Other values (5) 7
 
7.0%
ValueCountFrequency (%)
0.0 50
50.0%
0.01 8
 
8.0%
0.02 9
 
9.0%
0.03 4
 
4.0%
0.04 6
 
6.0%
0.05 3
 
3.0%
0.06 4
 
4.0%
0.07 2
 
2.0%
0.08 2
 
2.0%
0.1 2
 
2.0%
ValueCountFrequency (%)
0.2 3
3.0%
0.18 1
 
1.0%
0.14 1
 
1.0%
0.13 1
 
1.0%
0.11 4
4.0%
0.1 2
2.0%
0.08 2
2.0%
0.07 2
2.0%
0.06 4
4.0%
0.05 3
3.0%

AIRON_VALUE
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
95 
0.29
 
2
0.58
 
1
7.04
 
1
0.54
 
1

Length

Max length4
Median length3
Mean length3.05
Min length3

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 95
95.0%
0.29 2
 
2.0%
0.58 1
 
1.0%
7.04 1
 
1.0%
0.54 1
 
1.0%

Length

2023-12-10T15:20:50.226090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:20:50.451448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 95
95.0%
0.29 2
 
2.0%
0.58 1
 
1.0%
7.04 1
 
1.0%
0.54 1
 
1.0%

CARBO_VALUE
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.817
Minimum0
Maximum18.38
Zeros15
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:50.726226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.06
median0.25
Q30.87
95-th percentile2.278
Maximum18.38
Range18.38
Interquartile range (IQR)0.81

Descriptive statistics

Standard deviation1.9814159
Coefficient of variation (CV)2.4252337
Kurtosis63.465495
Mean0.817
Median Absolute Deviation (MAD)0.25
Skewness7.3248742
Sum81.7
Variance3.9260091
MonotonicityNot monotonic
2023-12-10T15:20:51.095988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.0 15
 
15.0%
0.1 6
 
6.0%
0.05 5
 
5.0%
0.06 4
 
4.0%
0.6 4
 
4.0%
0.22 3
 
3.0%
0.3 3
 
3.0%
0.67 3
 
3.0%
2.0 3
 
3.0%
2.16 3
 
3.0%
Other values (37) 51
51.0%
ValueCountFrequency (%)
0.0 15
15.0%
0.02 1
 
1.0%
0.03 2
 
2.0%
0.04 1
 
1.0%
0.05 5
 
5.0%
0.06 4
 
4.0%
0.1 6
 
6.0%
0.13 3
 
3.0%
0.15 2
 
2.0%
0.16 1
 
1.0%
ValueCountFrequency (%)
18.38 1
 
1.0%
4.86 1
 
1.0%
4.05 1
 
1.0%
3.0 1
 
1.0%
2.43 1
 
1.0%
2.27 1
 
1.0%
2.16 3
3.0%
2.0 3
3.0%
1.72 1
 
1.0%
1.64 1
 
1.0%

ZINC_VALUE
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0806
Minimum0
Maximum3.11
Zeros37
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:51.403150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.03
95-th percentile0.267
Maximum3.11
Range3.11
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.3303161
Coefficient of variation (CV)4.0982147
Kurtosis73.161651
Mean0.0806
Median Absolute Deviation (MAD)0.01
Skewness8.1254284
Sum8.06
Variance0.10910873
MonotonicityNot monotonic
2023-12-10T15:20:51.625181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 37
37.0%
0.01 18
18.0%
0.02 14
 
14.0%
0.03 7
 
7.0%
0.05 5
 
5.0%
0.06 4
 
4.0%
0.16 3
 
3.0%
0.04 3
 
3.0%
0.69 2
 
2.0%
0.25 1
 
1.0%
Other values (6) 6
 
6.0%
ValueCountFrequency (%)
0.0 37
37.0%
0.01 18
18.0%
0.02 14
 
14.0%
0.03 7
 
7.0%
0.04 3
 
3.0%
0.05 5
 
5.0%
0.06 4
 
4.0%
0.08 1
 
1.0%
0.16 3
 
3.0%
0.22 1
 
1.0%
ValueCountFrequency (%)
3.11 1
 
1.0%
0.69 2
2.0%
0.6 1
 
1.0%
0.4 1
 
1.0%
0.26 1
 
1.0%
0.25 1
 
1.0%
0.22 1
 
1.0%
0.16 3
3.0%
0.08 1
 
1.0%
0.06 4
4.0%

COPPR_VALUE
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
75 
0.01
17 
0.02
 
6
0.07
 
1
0.1
 
1

Length

Max length4
Median length3
Mean length3.24
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 75
75.0%
0.01 17
 
17.0%
0.02 6
 
6.0%
0.07 1
 
1.0%
0.1 1
 
1.0%

Length

2023-12-10T15:20:51.910313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:20:52.125601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 75
75.0%
0.01 17
 
17.0%
0.02 6
 
6.0%
0.07 1
 
1.0%
0.1 1
 
1.0%

FLRN_VALUE
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0241
Minimum0
Maximum0.6
Zeros93
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:52.307870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.186
Maximum0.6
Range0.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.097245861
Coefficient of variation (CV)4.035098
Kurtosis19.484969
Mean0.0241
Median Absolute Deviation (MAD)0
Skewness4.3844364
Sum2.41
Variance0.0094567576
MonotonicityNot monotonic
2023-12-10T15:20:52.509054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 93
93.0%
0.3 2
 
2.0%
0.45 2
 
2.0%
0.6 1
 
1.0%
0.18 1
 
1.0%
0.13 1
 
1.0%
ValueCountFrequency (%)
0.0 93
93.0%
0.13 1
 
1.0%
0.18 1
 
1.0%
0.3 2
 
2.0%
0.45 2
 
2.0%
0.6 1
 
1.0%
ValueCountFrequency (%)
0.6 1
 
1.0%
0.45 2
 
2.0%
0.3 2
 
2.0%
0.18 1
 
1.0%
0.13 1
 
1.0%
0.0 93
93.0%

MANG_VALUE
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0179
Minimum0
Maximum0.2
Zeros48
Zeros (%)48.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:52.738167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.02
95-th percentile0.061
Maximum0.2
Range0.2
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.034386249
Coefficient of variation (CV)1.9210195
Kurtosis12.62099
Mean0.0179
Median Absolute Deviation (MAD)0.01
Skewness3.3684045
Sum1.79
Variance0.0011824141
MonotonicityNot monotonic
2023-12-10T15:20:52.966580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 48
48.0%
0.01 21
21.0%
0.02 11
 
11.0%
0.03 7
 
7.0%
0.05 4
 
4.0%
0.15 3
 
3.0%
0.06 3
 
3.0%
0.08 1
 
1.0%
0.2 1
 
1.0%
0.04 1
 
1.0%
ValueCountFrequency (%)
0.0 48
48.0%
0.01 21
21.0%
0.02 11
 
11.0%
0.03 7
 
7.0%
0.04 1
 
1.0%
0.05 4
 
4.0%
0.06 3
 
3.0%
0.08 1
 
1.0%
0.15 3
 
3.0%
0.2 1
 
1.0%
ValueCountFrequency (%)
0.2 1
 
1.0%
0.15 3
 
3.0%
0.08 1
 
1.0%
0.06 3
 
3.0%
0.05 4
 
4.0%
0.04 1
 
1.0%
0.03 7
 
7.0%
0.02 11
 
11.0%
0.01 21
21.0%
0.0 48
48.0%

IDN_VALUE
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3843
Minimum0
Maximum16.42
Zeros86
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:53.230753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.2845
Maximum16.42
Range16.42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.3372656
Coefficient of variation (CV)6.0818778
Kurtosis44.52467
Mean0.3843
Median Absolute Deviation (MAD)0
Skewness6.6895607
Sum38.43
Variance5.4628106
MonotonicityNot monotonic
2023-12-10T15:20:53.438974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 86
86.0%
0.03 3
 
3.0%
16.42 2
 
2.0%
0.02 2
 
2.0%
0.04 2
 
2.0%
0.37 1
 
1.0%
0.78 1
 
1.0%
0.01 1
 
1.0%
3.94 1
 
1.0%
0.28 1
 
1.0%
ValueCountFrequency (%)
0.0 86
86.0%
0.01 1
 
1.0%
0.02 2
 
2.0%
0.03 3
 
3.0%
0.04 2
 
2.0%
0.28 1
 
1.0%
0.37 1
 
1.0%
0.78 1
 
1.0%
3.94 1
 
1.0%
16.42 2
 
2.0%
ValueCountFrequency (%)
16.42 2
 
2.0%
3.94 1
 
1.0%
0.78 1
 
1.0%
0.37 1
 
1.0%
0.28 1
 
1.0%
0.04 2
 
2.0%
0.03 3
 
3.0%
0.02 2
 
2.0%
0.01 1
 
1.0%
0.0 86
86.0%

SELEN_VALUE
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7184
Minimum0
Maximum28.82
Zeros24
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:53.723807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.02
Q30.12
95-th percentile4.61
Maximum28.82
Range28.82
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation3.2106174
Coefficient of variation (CV)4.4691222
Kurtosis60.858698
Mean0.7184
Median Absolute Deviation (MAD)0.02
Skewness7.3055723
Sum71.84
Variance10.308064
MonotonicityNot monotonic
2023-12-10T15:20:53.926732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 24
24.0%
0.01 23
23.0%
0.02 14
14.0%
0.12 6
 
6.0%
0.03 5
 
5.0%
0.28 4
 
4.0%
0.04 3
 
3.0%
0.07 2
 
2.0%
0.14 2
 
2.0%
4.61 2
 
2.0%
Other values (13) 15
15.0%
ValueCountFrequency (%)
0.0 24
24.0%
0.01 23
23.0%
0.02 14
14.0%
0.03 5
 
5.0%
0.04 3
 
3.0%
0.07 2
 
2.0%
0.1 1
 
1.0%
0.12 6
 
6.0%
0.14 2
 
2.0%
0.17 1
 
1.0%
ValueCountFrequency (%)
28.82 1
1.0%
9.41 1
1.0%
7.91 1
1.0%
5.7 1
1.0%
4.61 2
2.0%
3.57 1
1.0%
0.86 1
1.0%
0.71 1
1.0%
0.43 2
2.0%
0.4 1
1.0%

CHOLE_VALUE
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7271
Minimum0
Maximum66
Zeros94
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:54.153865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile17.2145
Maximum66
Range66
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.0232394
Coefficient of variation (CV)4.6454979
Kurtosis43.24112
Mean1.7271
Median Absolute Deviation (MAD)0
Skewness6.0855149
Sum172.71
Variance64.37237
MonotonicityNot monotonic
2023-12-10T15:20:54.362005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 94
94.0%
24.0 2
 
2.0%
22.4 1
 
1.0%
66.0 1
 
1.0%
19.2 1
 
1.0%
17.11 1
 
1.0%
ValueCountFrequency (%)
0.0 94
94.0%
17.11 1
 
1.0%
19.2 1
 
1.0%
22.4 1
 
1.0%
24.0 2
 
2.0%
66.0 1
 
1.0%
ValueCountFrequency (%)
66.0 1
 
1.0%
24.0 2
 
2.0%
22.4 1
 
1.0%
19.2 1
 
1.0%
17.11 1
 
1.0%
0.0 94
94.0%

TFA_VALUE
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2426
Minimum0
Maximum4.83
Zeros66
Zeros (%)66.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:54.714493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile2.042
Maximum4.83
Range4.83
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.8462951
Coefficient of variation (CV)3.4884382
Kurtosis17.734844
Mean0.2426
Median Absolute Deviation (MAD)0
Skewness4.1614146
Sum24.26
Variance0.71621539
MonotonicityNot monotonic
2023-12-10T15:20:55.101789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 66
66.0%
0.01 16
 
16.0%
0.02 3
 
3.0%
2.84 3
 
3.0%
2.0 1
 
1.0%
0.03 1
 
1.0%
1.1 1
 
1.0%
0.47 1
 
1.0%
4.83 1
 
1.0%
0.43 1
 
1.0%
Other values (6) 6
 
6.0%
ValueCountFrequency (%)
0.0 66
66.0%
0.01 16
 
16.0%
0.02 3
 
3.0%
0.03 1
 
1.0%
0.04 1
 
1.0%
0.15 1
 
1.0%
0.25 1
 
1.0%
0.43 1
 
1.0%
0.47 1
 
1.0%
0.55 1
 
1.0%
ValueCountFrequency (%)
4.83 1
 
1.0%
4.73 1
 
1.0%
2.84 3
3.0%
2.0 1
 
1.0%
1.1 1
 
1.0%
0.94 1
 
1.0%
0.55 1
 
1.0%
0.47 1
 
1.0%
0.43 1
 
1.0%
0.25 1
 
1.0%

SAFA_VALUE
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0616
Minimum0
Maximum1.88
Zeros80
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:55.366508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.42
Maximum1.88
Range1.88
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.22181856
Coefficient of variation (CV)3.6009507
Kurtosis46.525959
Mean0.0616
Median Absolute Deviation (MAD)0
Skewness6.1649772
Sum6.16
Variance0.049203475
MonotonicityNot monotonic
2023-12-10T15:20:55.698404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 80
80.0%
0.01 4
 
4.0%
0.42 4
 
4.0%
0.31 3
 
3.0%
0.07 2
 
2.0%
0.02 1
 
1.0%
0.7 1
 
1.0%
0.18 1
 
1.0%
0.14 1
 
1.0%
0.41 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
0.0 80
80.0%
0.01 4
 
4.0%
0.02 1
 
1.0%
0.04 1
 
1.0%
0.07 2
 
2.0%
0.14 1
 
1.0%
0.18 1
 
1.0%
0.31 3
 
3.0%
0.41 1
 
1.0%
0.42 4
 
4.0%
ValueCountFrequency (%)
1.88 1
 
1.0%
0.7 1
 
1.0%
0.42 4
4.0%
0.41 1
 
1.0%
0.31 3
3.0%
0.18 1
 
1.0%
0.14 1
 
1.0%
0.07 2
2.0%
0.04 1
 
1.0%
0.02 1
 
1.0%

MUFA_VALUE
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1128
Minimum0
Maximum2.41
Zeros83
Zeros (%)83.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:55.945547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.7
Maximum2.41
Range2.41
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.37298978
Coefficient of variation (CV)3.306647
Kurtosis23.701762
Mean0.1128
Median Absolute Deviation (MAD)0
Skewness4.6118414
Sum11.28
Variance0.13912137
MonotonicityNot monotonic
2023-12-10T15:20:56.161397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 83
83.0%
0.7 3
 
3.0%
0.46 2
 
2.0%
0.06 1
 
1.0%
0.01 1
 
1.0%
1.16 1
 
1.0%
0.27 1
 
1.0%
0.37 1
 
1.0%
2.19 1
 
1.0%
0.1 1
 
1.0%
Other values (5) 5
 
5.0%
ValueCountFrequency (%)
0.0 83
83.0%
0.01 1
 
1.0%
0.06 1
 
1.0%
0.1 1
 
1.0%
0.18 1
 
1.0%
0.19 1
 
1.0%
0.27 1
 
1.0%
0.37 1
 
1.0%
0.46 2
 
2.0%
0.52 1
 
1.0%
ValueCountFrequency (%)
2.41 1
 
1.0%
2.19 1
 
1.0%
1.16 1
 
1.0%
0.8 1
 
1.0%
0.7 3
3.0%
0.52 1
 
1.0%
0.46 2
2.0%
0.37 1
 
1.0%
0.27 1
 
1.0%
0.19 1
 
1.0%

FAT_VALUE
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4795
Minimum0
Maximum10.45
Zeros43
Zeros (%)43.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:56.384969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.04
95-th percentile3.0195
Maximum10.45
Range10.45
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation1.4379583
Coefficient of variation (CV)2.9988702
Kurtosis24.813395
Mean0.4795
Median Absolute Deviation (MAD)0.01
Skewness4.4886209
Sum47.95
Variance2.067724
MonotonicityNot monotonic
2023-12-10T15:20:56.638260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 43
43.0%
0.01 17
 
17.0%
0.02 12
 
12.0%
0.1 3
 
3.0%
3.0 3
 
3.0%
0.04 3
 
3.0%
3.39 2
 
2.0%
2.0 2
 
2.0%
0.5 2
 
2.0%
0.28 1
 
1.0%
Other values (12) 12
 
12.0%
ValueCountFrequency (%)
0.0 43
43.0%
0.01 17
 
17.0%
0.02 12
 
12.0%
0.03 1
 
1.0%
0.04 3
 
3.0%
0.05 1
 
1.0%
0.1 3
 
3.0%
0.13 1
 
1.0%
0.16 1
 
1.0%
0.27 1
 
1.0%
ValueCountFrequency (%)
10.45 1
 
1.0%
5.28 1
 
1.0%
5.0 1
 
1.0%
3.39 2
2.0%
3.0 3
3.0%
2.09 1
 
1.0%
2.0 2
2.0%
1.15 1
 
1.0%
1.0 1
 
1.0%
0.5 2
2.0%

PUFA_VALUE
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1352
Minimum0
Maximum2.87
Zeros70
Zeros (%)70.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:56.857736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile1.15
Maximum2.87
Range2.87
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.44296403
Coefficient of variation (CV)3.2763612
Kurtosis18.472938
Mean0.1352
Median Absolute Deviation (MAD)0
Skewness4.1279355
Sum13.52
Variance0.19621713
MonotonicityNot monotonic
2023-12-10T15:20:57.034383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 70
70.0%
0.01 12
 
12.0%
1.72 3
 
3.0%
1.15 2
 
2.0%
0.89 1
 
1.0%
0.02 1
 
1.0%
0.16 1
 
1.0%
0.21 1
 
1.0%
0.53 1
 
1.0%
0.18 1
 
1.0%
Other values (7) 7
 
7.0%
ValueCountFrequency (%)
0.0 70
70.0%
0.01 12
 
12.0%
0.02 1
 
1.0%
0.03 1
 
1.0%
0.07 1
 
1.0%
0.11 1
 
1.0%
0.12 1
 
1.0%
0.16 1
 
1.0%
0.18 1
 
1.0%
0.21 1
 
1.0%
ValueCountFrequency (%)
2.87 1
 
1.0%
1.72 3
3.0%
1.15 2
2.0%
0.89 1
 
1.0%
0.53 1
 
1.0%
0.43 1
 
1.0%
0.32 1
 
1.0%
0.21 1
 
1.0%
0.18 1
 
1.0%
0.16 1
 
1.0%

TRANSFA_VALUE
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
98 
0.01
 
2

Length

Max length4
Median length3
Mean length3.02
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 98
98.0%
0.01 2
 
2.0%

Length

2023-12-10T15:20:57.314604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:20:57.478062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 98
98.0%
0.01 2
 
2.0%

ILE_VALUE
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.4822
Minimum0
Maximum1058.2
Zeros31
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:57.757879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.185
Q33.54
95-th percentile53.18
Maximum1058.2
Range1058.2
Interquartile range (IQR)3.54

Descriptive statistics

Standard deviation120.41431
Coefficient of variation (CV)4.7254285
Kurtosis56.50213
Mean25.4822
Median Absolute Deviation (MAD)1.185
Skewness7.0581176
Sum2548.22
Variance14499.607
MonotonicityNot monotonic
2023-12-10T15:20:57.997836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 31
31.0%
3.54 4
 
4.0%
13.2 3
 
3.0%
1.9 3
 
3.0%
1.77 2
 
2.0%
5.31 2
 
2.0%
5.7 2
 
2.0%
0.75 2
 
2.0%
0.9 2
 
2.0%
0.47 2
 
2.0%
Other values (40) 47
47.0%
ValueCountFrequency (%)
0.0 31
31.0%
0.04 1
 
1.0%
0.24 1
 
1.0%
0.26 1
 
1.0%
0.36 1
 
1.0%
0.47 2
 
2.0%
0.5 2
 
2.0%
0.6 2
 
2.0%
0.71 1
 
1.0%
0.75 2
 
2.0%
ValueCountFrequency (%)
1058.2 1
 
1.0%
398.4 1
 
1.0%
276.8 1
 
1.0%
265.6 2
2.0%
42.0 1
 
1.0%
25.44 1
 
1.0%
18.3 1
 
1.0%
17.5 1
 
1.0%
13.2 3
3.0%
9.28 1
 
1.0%

LEU_VALUE
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.5399
Minimum0
Maximum1794.1
Zeros31
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:58.341852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.885
Q35.86
95-th percentile115.8325
Maximum1794.1
Range1794.1
Interquartile range (IQR)5.86

Descriptive statistics

Standard deviation204.47093
Coefficient of variation (CV)4.6961735
Kurtosis56.000934
Mean43.5399
Median Absolute Deviation (MAD)1.885
Skewness7.0135475
Sum4353.99
Variance41808.359
MonotonicityNot monotonic
2023-12-10T15:20:58.687369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 31
31.0%
5.86 4
 
4.0%
21.2 3
 
3.0%
3.7 3
 
3.0%
2.93 2
 
2.0%
8.79 2
 
2.0%
11.1 2
 
2.0%
1.23 2
 
2.0%
0.9 2
 
2.0%
0.75 2
 
2.0%
Other values (40) 47
47.0%
ValueCountFrequency (%)
0.0 31
31.0%
0.15 1
 
1.0%
0.26 1
 
1.0%
0.36 1
 
1.0%
0.38 1
 
1.0%
0.6 2
 
2.0%
0.75 2
 
2.0%
0.82 2
 
2.0%
0.9 2
 
2.0%
1.13 1
 
1.0%
ValueCountFrequency (%)
1794.1 1
 
1.0%
625.28 1
 
1.0%
549.12 1
 
1.0%
448.0 2
2.0%
98.35 1
 
1.0%
37.98 1
 
1.0%
33.5 1
 
1.0%
23.7 1
 
1.0%
21.2 3
3.0%
15.48 1
 
1.0%

LYS_VALUE
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.7206
Minimum0
Maximum2038.3
Zeros32
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:58.995687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.625
Q34.395
95-th percentile51.55
Maximum2038.3
Range2038.3
Interquartile range (IQR)4.395

Descriptive statistics

Standard deviation231.33735
Coefficient of variation (CV)4.9515063
Kurtosis57.275161
Mean46.7206
Median Absolute Deviation (MAD)0.625
Skewness7.1102147
Sum4672.06
Variance53516.968
MonotonicityNot monotonic
2023-12-10T15:20:59.283004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.0 32
32.0%
1.38 4
 
4.0%
23.6 3
 
3.0%
4.5 3
 
3.0%
480.0 2
 
2.0%
0.51 2
 
2.0%
4.36 2
 
2.0%
2.07 2
 
2.0%
4.7 2
 
2.0%
0.45 2
 
2.0%
Other values (38) 46
46.0%
ValueCountFrequency (%)
0.0 32
32.0%
0.07 1
 
1.0%
0.13 1
 
1.0%
0.14 2
 
2.0%
0.18 1
 
1.0%
0.21 1
 
1.0%
0.29 1
 
1.0%
0.3 2
 
2.0%
0.32 1
 
1.0%
0.34 2
 
2.0%
ValueCountFrequency (%)
2038.3 1
 
1.0%
714.88 1
 
1.0%
619.84 1
 
1.0%
480.0 2
2.0%
29.0 1
 
1.0%
28.7 1
 
1.0%
26.4 1
 
1.0%
26.16 1
 
1.0%
23.6 3
3.0%
13.5 2
2.0%

METHIO_VALUE
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5511
Minimum0
Maximum519.2
Zeros31
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:59.564873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.415
Q31.295
95-th percentile35.9425
Maximum519.2
Range519.2
Interquartile range (IQR)1.295

Descriptive statistics

Standard deviation61.978622
Coefficient of variation (CV)4.5736968
Kurtosis46.899925
Mean13.5511
Median Absolute Deviation (MAD)0.415
Skewness6.4067812
Sum1355.11
Variance3841.3496
MonotonicityNot monotonic
2023-12-10T15:21:00.386202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0.0 31
31.0%
2.5 4
 
4.0%
8.4 3
 
3.0%
0.06 3
 
3.0%
0.45 3
 
3.0%
0.53 3
 
3.0%
0.15 3
 
3.0%
0.6 3
 
3.0%
0.1 3
 
3.0%
1.25 3
 
3.0%
Other values (32) 41
41.0%
ValueCountFrequency (%)
0.0 31
31.0%
0.02 1
 
1.0%
0.04 1
 
1.0%
0.06 3
 
3.0%
0.09 2
 
2.0%
0.1 3
 
3.0%
0.13 2
 
2.0%
0.15 3
 
3.0%
0.2 1
 
1.0%
0.25 2
 
2.0%
ValueCountFrequency (%)
519.2 1
 
1.0%
221.44 1
 
1.0%
177.6 1
 
1.0%
153.6 2
2.0%
29.75 1
 
1.0%
8.4 3
3.0%
6.25 1
 
1.0%
6.0 1
 
1.0%
5.72 1
 
1.0%
4.2 1
 
1.0%

PHE_VALUE
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.2363
Minimum0
Maximum886.6
Zeros32
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:00.708181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.09
Q34.2975
95-th percentile60.755
Maximum886.6
Range886.6
Interquartile range (IQR)4.2975

Descriptive statistics

Standard deviation101.1319
Coefficient of variation (CV)4.5480545
Kurtosis55.689511
Mean22.2363
Median Absolute Deviation (MAD)1.09
Skewness6.994421
Sum2223.63
Variance10227.662
MonotonicityNot monotonic
2023-12-10T15:21:01.020266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.0 32
32.0%
10.8 4
 
4.0%
4.32 4
 
4.0%
3.0 4
 
4.0%
2.15 3
 
3.0%
217.6 2
 
2.0%
0.66 2
 
2.0%
3.88 2
 
2.0%
6.48 2
 
2.0%
0.45 2
 
2.0%
Other values (35) 43
43.0%
ValueCountFrequency (%)
0.0 32
32.0%
0.13 1
 
1.0%
0.18 1
 
1.0%
0.25 1
 
1.0%
0.3 2
 
2.0%
0.44 2
 
2.0%
0.45 2
 
2.0%
0.5 2
 
2.0%
0.6 1
 
1.0%
0.66 2
 
2.0%
ValueCountFrequency (%)
886.6 1
 
1.0%
323.84 1
 
1.0%
266.24 1
 
1.0%
217.6 2
2.0%
52.5 1
 
1.0%
23.28 1
 
1.0%
21.6 1
 
1.0%
21.0 1
 
1.0%
12.16 1
 
1.0%
10.8 4
4.0%

THREO_VALUE
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.2132
Minimum0
Maximum1006.5
Zeros31
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:01.252596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.93
Q33.125
95-th percentile47.2575
Maximum1006.5
Range1006.5
Interquartile range (IQR)3.125

Descriptive statistics

Standard deviation114.67873
Coefficient of variation (CV)4.736207
Kurtosis56.218567
Mean24.2132
Median Absolute Deviation (MAD)0.93
Skewness7.0405225
Sum2421.32
Variance13151.211
MonotonicityNot monotonic
2023-12-10T15:21:01.524304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.0 31
31.0%
2.9 4
 
4.0%
0.57 4
 
4.0%
12.4 3
 
3.0%
2.1 3
 
3.0%
1.45 2
 
2.0%
3.2 2
 
2.0%
4.35 2
 
2.0%
1.2 2
 
2.0%
0.9 2
 
2.0%
Other values (38) 45
45.0%
ValueCountFrequency (%)
0.0 31
31.0%
0.02 1
 
1.0%
0.26 1
 
1.0%
0.29 1
 
1.0%
0.36 1
 
1.0%
0.38 2
 
2.0%
0.57 4
 
4.0%
0.6 2
 
2.0%
0.65 1
 
1.0%
0.73 1
 
1.0%
ValueCountFrequency (%)
1006.5 1
 
1.0%
363.2 1
 
1.0%
320.96 1
 
1.0%
233.6 2
2.0%
37.45 1
 
1.0%
20.5 1
 
1.0%
19.2 1
 
1.0%
14.4 1
 
1.0%
12.48 1
 
1.0%
12.4 3
3.0%

TRYPTO_VALUE
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8781
Minimum0
Maximum235.4
Zeros35
Zeros (%)35.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:01.754912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.26
Q31.1
95-th percentile8.672
Maximum235.4
Range235.4
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation27.125741
Coefficient of variation (CV)4.6147125
Kurtosis53.570167
Mean5.8781
Median Absolute Deviation (MAD)0.26
Skewness6.8528405
Sum587.81
Variance735.80585
MonotonicityNot monotonic
2023-12-10T15:21:01.979899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 35
35.0%
0.6 4
 
4.0%
0.3 4
 
4.0%
0.12 3
 
3.0%
2.8 3
 
3.0%
1.1 3
 
3.0%
0.2 3
 
3.0%
0.14 3
 
3.0%
0.26 2
 
2.0%
0.9 2
 
2.0%
Other values (31) 38
38.0%
ValueCountFrequency (%)
0.0 35
35.0%
0.08 2
 
2.0%
0.09 1
 
1.0%
0.12 3
 
3.0%
0.14 3
 
3.0%
0.15 1
 
1.0%
0.17 1
 
1.0%
0.2 3
 
3.0%
0.26 2
 
2.0%
0.27 1
 
1.0%
ValueCountFrequency (%)
235.4 1
 
1.0%
86.72 1
 
1.0%
70.72 1
 
1.0%
64.0 2
2.0%
5.76 1
 
1.0%
5.7 1
 
1.0%
3.45 1
 
1.0%
3.3 2
2.0%
2.95 2
2.0%
2.8 3
3.0%

VALINE_VALUE
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.4271
Minimum0
Maximum1090.1
Zeros31
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:02.384398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.65
Q34.7725
95-th percentile75.431
Maximum1090.1
Range1090.1
Interquartile range (IQR)4.7725

Descriptive statistics

Standard deviation124.31626
Coefficient of variation (CV)4.5326069
Kurtosis55.665193
Mean27.4271
Median Absolute Deviation (MAD)1.65
Skewness6.9879205
Sum2742.71
Variance15454.533
MonotonicityNot monotonic
2023-12-10T15:21:02.658057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.0 31
31.0%
6.04 4
 
4.0%
17.2 3
 
3.0%
4.3 3
 
3.0%
1.65 3
 
3.0%
2.4 3
 
3.0%
3.02 2
 
2.0%
9.06 2
 
2.0%
7.2 2
 
2.0%
1.02 2
 
2.0%
Other values (38) 45
45.0%
ValueCountFrequency (%)
0.0 31
31.0%
0.06 1
 
1.0%
0.25 1
 
1.0%
0.47 1
 
1.0%
0.5 2
 
2.0%
0.66 1
 
1.0%
0.68 2
 
2.0%
0.75 1
 
1.0%
1.02 2
 
2.0%
1.05 1
 
1.0%
ValueCountFrequency (%)
1090.1 1
 
1.0%
390.72 1
 
1.0%
312.32 1
 
1.0%
281.6 2
2.0%
64.58 1
 
1.0%
25.8 1
 
1.0%
24.3 1
 
1.0%
23.5 1
 
1.0%
17.2 3
3.0%
15.1 1
 
1.0%

VFAT_VALUE
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1743
Minimum0
Maximum5
Zeros64
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:02.893815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.525
Maximum5
Range5
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.71547576
Coefficient of variation (CV)4.1048523
Kurtosis26.973041
Mean0.1743
Median Absolute Deviation (MAD)0
Skewness5.0731357
Sum17.43
Variance0.51190557
MonotonicityNot monotonic
2023-12-10T15:21:03.120371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 64
64.0%
0.02 10
 
10.0%
0.01 10
 
10.0%
0.04 3
 
3.0%
3.0 3
 
3.0%
0.1 3
 
3.0%
0.5 2
 
2.0%
0.16 1
 
1.0%
0.28 1
 
1.0%
5.0 1
 
1.0%
Other values (2) 2
 
2.0%
ValueCountFrequency (%)
0.0 64
64.0%
0.01 10
 
10.0%
0.02 10
 
10.0%
0.04 3
 
3.0%
0.1 3
 
3.0%
0.16 1
 
1.0%
0.27 1
 
1.0%
0.28 1
 
1.0%
0.5 2
 
2.0%
1.0 1
 
1.0%
ValueCountFrequency (%)
5.0 1
 
1.0%
3.0 3
 
3.0%
1.0 1
 
1.0%
0.5 2
 
2.0%
0.28 1
 
1.0%
0.27 1
 
1.0%
0.16 1
 
1.0%
0.1 3
 
3.0%
0.04 3
 
3.0%
0.02 10
10.0%

HISTI_VALUE
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.8991
Minimum0
Maximum761.2
Zeros32
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:03.351638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.77
Q33.13
95-th percentile37.6615
Maximum761.2
Range761.2
Interquartile range (IQR)3.13

Descriptive statistics

Standard deviation89.934852
Coefficient of variation (CV)4.5195437
Kurtosis48.821873
Mean19.8991
Median Absolute Deviation (MAD)0.77
Skewness6.5488607
Sum1989.91
Variance8088.2776
MonotonicityNot monotonic
2023-12-10T15:21:03.591540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 32
32.0%
3.16 4
 
4.0%
1.3 4
 
4.0%
22.0 3
 
3.0%
0.63 3
 
3.0%
1.58 2
 
2.0%
4.74 2
 
2.0%
3.9 2
 
2.0%
1.05 2
 
2.0%
0.75 2
 
2.0%
Other values (36) 44
44.0%
ValueCountFrequency (%)
0.0 32
32.0%
0.11 1
 
1.0%
0.21 2
 
2.0%
0.22 1
 
1.0%
0.3 1
 
1.0%
0.32 1
 
1.0%
0.42 2
 
2.0%
0.44 1
 
1.0%
0.48 1
 
1.0%
0.5 2
 
2.0%
ValueCountFrequency (%)
761.2 1
 
1.0%
307.84 1
 
1.0%
294.72 1
 
1.0%
195.2 2
2.0%
29.37 1
 
1.0%
22.0 3
3.0%
14.4 1
 
1.0%
10.0 1
 
1.0%
9.3 1
 
1.0%
7.9 1
 
1.0%

ARGI_VALUE
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.1137
Minimum0
Maximum1535.6
Zeros32
Zeros (%)32.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:03.862290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.505
Q317.255
95-th percentile116.195
Maximum1535.6
Range1535.6
Interquartile range (IQR)17.255

Descriptive statistics

Standard deviation173.0355
Coefficient of variation (CV)4.1087698
Kurtosis57.622208
Mean42.1137
Median Absolute Deviation (MAD)1.505
Skewness7.0940325
Sum4211.37
Variance29941.284
MonotonicityNot monotonic
2023-12-10T15:21:04.166818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.0 32
32.0%
40.84 4
 
4.0%
22.0 3
 
3.0%
16.2 3
 
3.0%
20.42 2
 
2.0%
61.26 2
 
2.0%
48.6 2
 
2.0%
0.87 2
 
2.0%
0.45 2
 
2.0%
0.8 2
 
2.0%
Other values (39) 46
46.0%
ValueCountFrequency (%)
0.0 32
32.0%
0.13 1
 
1.0%
0.18 1
 
1.0%
0.3 2
 
2.0%
0.4 1
 
1.0%
0.45 2
 
2.0%
0.58 2
 
2.0%
0.6 1
 
1.0%
0.8 2
 
2.0%
0.87 2
 
2.0%
ValueCountFrequency (%)
1535.6 1
 
1.0%
494.4 1
 
1.0%
448.0 1
 
1.0%
384.0 2
2.0%
102.1 1
 
1.0%
81.55 1
 
1.0%
61.26 2
2.0%
48.6 2
2.0%
40.84 4
4.0%
31.8 1
 
1.0%

LAST_UPDT_DT
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2020-12-04 13:36:08
100 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-12-04 13:36:08
2nd row2020-12-04 13:36:08
3rd row2020-12-04 13:36:08
4th row2020-12-04 13:36:08
5th row2020-12-04 13:36:08

Common Values

ValueCountFrequency (%)
2020-12-04 13:36:08 100
100.0%

Length

2023-12-10T15:21:04.529334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:21:04.699838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-12-04 100
50.0%
13:36:08 100
50.0%

AFAT_VALUE
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
95 
3.39
 
2
0.13
 
1
10.45
 
1
5.28
 
1

Length

Max length5
Median length3
Mean length3.06
Min length3

Unique

Unique3 ?
Unique (%)3.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 95
95.0%
3.39 2
 
2.0%
0.13 1
 
1.0%
10.45 1
 
1.0%
5.28 1
 
1.0%

Length

2023-12-10T15:21:04.905981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:21:05.154654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 95
95.0%
3.39 2
 
2.0%
0.13 1
 
1.0%
10.45 1
 
1.0%
5.28 1
 
1.0%

PROTN_VALUE
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6588
Minimum0
Maximum22.22
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:05.411988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.07
Q30.1525
95-th percentile5.928
Maximum22.22
Range22.22
Interquartile range (IQR)0.1425

Descriptive statistics

Standard deviation2.6178823
Coefficient of variation (CV)3.9737132
Kurtosis47.91
Mean0.6588
Median Absolute Deviation (MAD)0.065
Skewness6.3952752
Sum65.88
Variance6.8533076
MonotonicityNot monotonic
2023-12-10T15:21:05.621836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0.0 21
21.0%
0.05 9
 
9.0%
0.03 7
 
7.0%
0.11 6
 
6.0%
0.01 6
 
6.0%
0.08 6
 
6.0%
0.1 5
 
5.0%
0.24 3
 
3.0%
0.07 3
 
3.0%
0.09 3
 
3.0%
Other values (22) 31
31.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.01 6
 
6.0%
0.02 2
 
2.0%
0.03 7
 
7.0%
0.04 1
 
1.0%
0.05 9
9.0%
0.06 2
 
2.0%
0.07 3
 
3.0%
0.08 6
 
6.0%
0.09 3
 
3.0%
ValueCountFrequency (%)
22.22 1
1.0%
7.69 1
1.0%
7.46 1
1.0%
6.08 2
2.0%
5.92 1
1.0%
1.44 1
1.0%
0.71 1
1.0%
0.55 1
1.0%
0.52 1
1.0%
0.34 2
2.0%

VPRTN_VALUE
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0618
Minimum0
Maximum1.44
Zeros50
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:05.814699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.005
Q30.08
95-th percentile0.221
Maximum1.44
Range1.44
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.15482398
Coefficient of variation (CV)2.5052424
Kurtosis64.431723
Mean0.0618
Median Absolute Deviation (MAD)0.005
Skewness7.3460764
Sum6.18
Variance0.023970465
MonotonicityNot monotonic
2023-12-10T15:21:06.020230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 50
50.0%
0.03 7
 
7.0%
0.05 7
 
7.0%
0.11 6
 
6.0%
0.08 6
 
6.0%
0.24 3
 
3.0%
0.01 3
 
3.0%
0.17 2
 
2.0%
0.16 2
 
2.0%
0.07 2
 
2.0%
Other values (9) 12
 
12.0%
ValueCountFrequency (%)
0.0 50
50.0%
0.01 3
 
3.0%
0.03 7
 
7.0%
0.04 1
 
1.0%
0.05 7
 
7.0%
0.06 2
 
2.0%
0.07 2
 
2.0%
0.08 6
 
6.0%
0.1 2
 
2.0%
0.11 6
 
6.0%
ValueCountFrequency (%)
1.44 1
 
1.0%
0.27 1
 
1.0%
0.24 3
3.0%
0.22 1
 
1.0%
0.2 1
 
1.0%
0.17 2
 
2.0%
0.16 2
 
2.0%
0.15 2
 
2.0%
0.14 1
 
1.0%
0.11 6
6.0%

Sample

FD_CODEFOOD_CODEAPRTN_VALUEFIBR_VALUEMOIST_VALUEASH_VALUEVITA_VALUERTNOL_VALUEBCRT_VALUEVITD_VALUEVITE_VALUEVITK_VALUEFD_QY_VALUEVITC_VALUEVITB1_VALUEVITB2_VALUENIACN_VALUEVITB6_VALUEFOLATE_VALUEVITB12_VALUEPANTO_VALUEBIOTIN_VALUECA_VALUETOT_CALORIE_VALUEVCA_VALUEACA_VALUEPHOSPHO_VALUENA_VALUECHLOR_VALUEPOTSSM_VALUEMGM_VALUEIRON_VALUEVIRON_VALUEAIRON_VALUECARBO_VALUEZINC_VALUECOPPR_VALUEFLRN_VALUEMANG_VALUEIDN_VALUESELEN_VALUECHOLE_VALUETFA_VALUESAFA_VALUEMUFA_VALUEFAT_VALUEPUFA_VALUETRANSFA_VALUEILE_VALUELEU_VALUELYS_VALUEMETHIO_VALUEPHE_VALUETHREO_VALUETRYPTO_VALUEVALINE_VALUEVFAT_VALUEHISTI_VALUEARGI_VALUELAST_UPDT_DTAFAT_VALUEPROTN_VALUEVPRTN_VALUE
0AF005080120580143002900100.00.00.00.00.00.00.000.163.682.00.00.00.00.00.00.00.00.00.00.017.680.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.310.462.01.150.00.00.00.00.00.00.00.00.00.00.00.02020-12-04 13:36:080.00.00.0
1AF005080120580161003200100.00.00.00.30.00.00.000.00.00.30.00.00.00.00.00.00.00.00.00.120.00.120.00.0100.791.820.410.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.02020-12-04 13:36:080.00.00.0
2AF005080120580161007300200.00.10.060.020.090.00.5300.00.650.40.00.00.00.00.00.040.00.00.01.121.221.120.00.670.180.04.410.00.080.080.00.220.010.00.00.020.030.010.00.00.00.00.020.00.00.00.00.00.00.00.00.00.00.020.00.02020-12-04 13:36:080.00.050.05
3AF00508012058062002200100.00.070.850.0110.780.064.6600.090.141.01.160.00.00.020.011.530.00.00.00.160.390.160.00.560.120.02.840.230.010.010.00.10.010.00.00.00.00.010.00.00.00.00.020.00.00.00.00.00.00.00.00.00.00.020.00.02020-12-04 13:36:080.00.030.03
4AF00508012058062006200100.00.121.260.030.00.00.000.00.032.00.560.00.010.010.011.730.00.010.00.22.520.20.03.280.060.613.280.50.040.040.00.60.020.00.00.010.00.280.00.00.00.00.00.00.03.545.861.382.54.322.90.66.040.03.1640.842020-12-04 13:36:080.00.110.11
5AF00508012058062013600200.00.8837.40.160.40.02.400.040.040.014.40.020.010.120.0439.20.00.060.811.67.611.60.010.02.014.882.06.00.20.20.02.160.160.010.00.150.00.120.00.010.00.00.040.00.013.221.223.68.410.812.42.817.20.0422.022.02020-12-04 13:36:080.00.240.24
6AF00508012058062019500200.00.051.820.012.580.015.500.00.02.00.420.00.00.010.02.270.00.00.01.620.521.620.00.70.020.03.720.460.020.020.00.130.00.00.00.00.00.010.00.00.00.00.010.00.00.50.820.340.060.440.380.080.680.010.420.582020-12-04 13:36:080.00.030.03
7AF005080120590143002900100.00.00.00.00.00.00.000.163.682.00.00.00.00.00.00.00.00.00.00.017.680.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.310.462.01.150.00.00.00.00.00.00.00.00.00.00.00.02020-12-04 13:36:080.00.00.0
8AF005080120590161003200100.00.00.00.30.00.00.000.00.00.30.00.00.00.00.00.00.00.00.00.120.00.120.00.0100.791.820.410.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.02020-12-04 13:36:080.00.00.0
9AF005080120590161007300200.00.10.060.020.090.00.5300.00.650.40.00.00.00.00.00.040.00.00.01.121.221.120.00.670.180.04.410.00.080.080.00.220.010.00.00.020.030.010.00.00.00.00.020.00.00.00.00.00.00.00.00.00.00.020.00.02020-12-04 13:36:080.00.050.05
FD_CODEFOOD_CODEAPRTN_VALUEFIBR_VALUEMOIST_VALUEASH_VALUEVITA_VALUERTNOL_VALUEBCRT_VALUEVITD_VALUEVITE_VALUEVITK_VALUEFD_QY_VALUEVITC_VALUEVITB1_VALUEVITB2_VALUENIACN_VALUEVITB6_VALUEFOLATE_VALUEVITB12_VALUEPANTO_VALUEBIOTIN_VALUECA_VALUETOT_CALORIE_VALUEVCA_VALUEACA_VALUEPHOSPHO_VALUENA_VALUECHLOR_VALUEPOTSSM_VALUEMGM_VALUEIRON_VALUEVIRON_VALUEAIRON_VALUECARBO_VALUEZINC_VALUECOPPR_VALUEFLRN_VALUEMANG_VALUEIDN_VALUESELEN_VALUECHOLE_VALUETFA_VALUESAFA_VALUEMUFA_VALUEFAT_VALUEPUFA_VALUETRANSFA_VALUEILE_VALUELEU_VALUELYS_VALUEMETHIO_VALUEPHE_VALUETHREO_VALUETRYPTO_VALUEVALINE_VALUEVFAT_VALUEHISTI_VALUEARGI_VALUELAST_UPDT_DTAFAT_VALUEPROTN_VALUEVPRTN_VALUE
90AF00508013025062019500200.00.082.730.023.880.023.2500.00.03.00.630.00.00.020.03.410.00.010.02.430.782.430.01.050.030.05.580.690.030.030.00.20.00.00.00.00.00.020.00.00.00.00.010.00.00.751.230.510.090.660.570.121.020.010.630.872020-12-04 13:36:080.00.050.05
91AF00508013025091020001500.00.022.910.360.00.320.000.060.032.00.170.090.060.570.00.00.120.150.551.2843.20.00.071.0412.480.0113.288.320.120.00.00.00.40.010.00.00.07.9117.111.10.420.521.150.160.01276.8549.12619.84177.6266.24320.9686.72312.320.0294.72448.02020-12-04 13:36:080.07.690.0
92AF005080130260162000100200.00.010.60.140.00.00.000.00.01.00.00.00.020.010.00.360.00.00.00.251.030.00.01.4547.830.04.80.690.020.00.00.170.010.00.00.010.00.00.00.00.00.00.00.00.04.246.334.360.533.883.20.264.30.01.553.612020-12-04 13:36:080.00.090.0
93AF00508013026031000300000.00.00.00.00.00.00.000.00.06.00.00.00.00.00.00.00.00.00.00.019.20.00.00.00.00.00.00.00.00.00.04.860.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.02020-12-04 13:36:080.00.00.0
94AF00508013026061002400300.00.23.890.030.00.019.6100.012.214.32.210.00.00.020.01.460.00.00.00.431.330.00.01.590.040.012.470.820.020.00.00.30.010.00.00.010.030.040.00.010.00.00.010.010.01.683.143.050.651.852.150.392.060.00.992.492020-12-04 13:36:080.00.070.0
95AF00508013026061010900100.00.051.850.020.00.00.400.010.02.10.030.00.00.010.00.00.00.010.00.380.880.00.00.690.080.07.080.780.020.00.00.210.00.00.00.040.00.020.00.00.00.00.00.00.00.991.580.290.531.051.20.691.050.00.441.682020-12-04 13:36:080.00.020.0
96AF00508013026061013800100.00.2413.160.050.00.00.2900.00.014.30.840.010.00.010.01.570.00.020.082.153.860.00.03.860.430.020.741.140.030.00.00.960.020.00.00.030.00.170.00.010.00.00.010.00.02.725.296.440.864.293.01.573.430.01.8623.172020-12-04 13:36:080.00.140.0
97AF00508013026061020801400.00.729.790.190.00.086.400.040.032.01.00.010.030.110.010.560.00.170.04.87.040.00.012.160.00.071.684.160.070.00.01.640.040.010.00.020.280.10.00.030.010.00.030.020.09.2814.7211.523.212.1612.485.7612.160.06.7212.162020-12-04 13:36:080.00.340.0
98AF00508013026062005100100.00.133.850.0354.040.0324.2200.010.574.30.340.00.00.030.01.340.00.010.221.721.461.720.01.631.292.5416.990.520.030.030.00.370.020.00.130.010.00.00.00.00.00.00.00.00.00.260.260.130.040.130.260.090.470.00.220.132020-12-04 13:36:080.00.050.05
99AF00508013026062006200100.00.33.160.080.00.00.000.00.075.01.40.010.020.020.034.320.00.030.00.56.30.50.08.20.151.533.21.250.10.10.01.50.050.010.00.010.00.710.00.00.00.00.00.00.08.8514.653.456.2510.87.251.515.10.07.9102.12020-12-04 13:36:080.00.270.27