Overview

Dataset statistics

Number of variables73
Number of observations100
Missing cells200
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory63.4 KiB
Average record size in memory649.3 B

Variable types

Categorical11
Numeric59
Text1
Unsupported2

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000018

Alerts

FD_SVC_CODE has constant value ""Constant
LEGALDONG_CODE has constant value ""Constant
FD_SVC_NM has constant value ""Constant
LEGALDONG_NM has constant value ""Constant
VITD_VALUE is highly imbalanced (84.9%)Imbalance
FLRN_VALUE is highly imbalanced (86.0%)Imbalance
TRANSFA_VALUE is highly imbalanced (89.8%)Imbalance
LAST_UPDT_DT has 100 (100.0%) missing valuesMissing
TRANSMIS_DTTM has 100 (100.0%) missing valuesMissing
FD_NM has unique valuesUnique
LAST_UPDT_DT is an unsupported type, check if it needs cleaning or further analysisUnsupported
TRANSMIS_DTTM is an unsupported type, check if it needs cleaning or further analysisUnsupported
TOT_CALORIE_VALUE has 9 (9.0%) zerosZeros
CARBO_VALUE has 19 (19.0%) zerosZeros
FAT_VALUE has 42 (42.0%) zerosZeros
VFAT_VALUE has 72 (72.0%) zerosZeros
AFAT_VALUE has 94 (94.0%) zerosZeros
PROTN_VALUE has 21 (21.0%) zerosZeros
VPRTN_VALUE has 57 (57.0%) zerosZeros
APRTN_VALUE has 94 (94.0%) zerosZeros
FIBR_VALUE has 42 (42.0%) zerosZeros
MOIST_VALUE has 20 (20.0%) zerosZeros
ASH_VALUE has 25 (25.0%) zerosZeros
VITA_VALUE has 72 (72.0%) zerosZeros
RTNOL_VALUE has 93 (93.0%) zerosZeros
BCRT_VALUE has 66 (66.0%) zerosZeros
VITE_VALUE has 52 (52.0%) zerosZeros
VITK_VALUE has 68 (68.0%) zerosZeros
VITC_VALUE has 63 (63.0%) zerosZeros
VITB1_VALUE has 68 (68.0%) zerosZeros
VITB2_VALUE has 55 (55.0%) zerosZeros
NIACN_VALUE has 41 (41.0%) zerosZeros
VITB6_VALUE has 76 (76.0%) zerosZeros
FOLATE_VALUE has 31 (31.0%) zerosZeros
VITB12_VALUE has 91 (91.0%) zerosZeros
PANTO_VALUE has 64 (64.0%) zerosZeros
BIOTIN_VALUE has 89 (89.0%) zerosZeros
CA_VALUE has 8 (8.0%) zerosZeros
VCA_VALUE has 57 (57.0%) zerosZeros
ACA_VALUE has 94 (94.0%) zerosZeros
PHOSPHO_VALUE has 20 (20.0%) zerosZeros
NA_VALUE has 13 (13.0%) zerosZeros
CHLOR_VALUE has 87 (87.0%) zerosZeros
POTSSM_VALUE has 9 (9.0%) zerosZeros
MGM_VALUE has 45 (45.0%) zerosZeros
IRON_VALUE has 27 (27.0%) zerosZeros
VIRON_VALUE has 59 (59.0%) zerosZeros
AIRON_VALUE has 94 (94.0%) zerosZeros
ZINC_VALUE has 51 (51.0%) zerosZeros
COPPR_VALUE has 71 (71.0%) zerosZeros
MANG_VALUE has 69 (69.0%) zerosZeros
IDN_VALUE has 83 (83.0%) zerosZeros
SELEN_VALUE has 47 (47.0%) zerosZeros
CHOLE_VALUE has 91 (91.0%) zerosZeros
TFA_VALUE has 71 (71.0%) zerosZeros
SAFA_VALUE has 72 (72.0%) zerosZeros
MUFA_VALUE has 78 (78.0%) zerosZeros
PUFA_VALUE has 72 (72.0%) zerosZeros
ILE_VALUE has 44 (44.0%) zerosZeros
LEU_VALUE has 44 (44.0%) zerosZeros
LYS_VALUE has 46 (46.0%) zerosZeros
METHIO_VALUE has 44 (44.0%) zerosZeros
PHE_VALUE has 44 (44.0%) zerosZeros
THREO_VALUE has 44 (44.0%) zerosZeros
TRYPTO_VALUE has 49 (49.0%) zerosZeros
VALINE_VALUE has 44 (44.0%) zerosZeros
HISTI_VALUE has 46 (46.0%) zerosZeros
ARGI_VALUE has 44 (44.0%) zerosZeros

Reproduction

Analysis started2023-12-10 06:21:17.112071
Analysis finished2023-12-10 06:21:18.042313
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

FD_CODE
Categorical

Distinct12
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
AF002040150031
14 
AF002070140071
14 
AF002020110161
14 
AF002050140001
11 
AF002010170041
Other values (7)
38 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAF002010170041
2nd rowAF002010170041
3rd rowAF002010170041
4th rowAF002010170041
5th rowAF002010170041

Common Values

ValueCountFrequency (%)
AF002040150031 14
14.0%
AF002070140071 14
14.0%
AF002020110161 14
14.0%
AF002050140001 11
11.0%
AF002010170041 9
9.0%
AF002030110181 7
7.0%
AF002100110001 6
6.0%
AF002040110031 6
6.0%
AF002110110031 6
6.0%
AF002100140061 5
 
5.0%
Other values (2) 8
8.0%

Length

2023-12-10T15:21:18.143038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
af002040150031 14
14.0%
af002070140071 14
14.0%
af002020110161 14
14.0%
af002050140001 11
11.0%
af002010170041 9
9.0%
af002030110181 7
7.0%
af002100110001 6
6.0%
af002040110031 6
6.0%
af002110110031 6
6.0%
af002100140061 5
 
5.0%
Other values (2) 8
8.0%

FD_SVC_CODE
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
AF002
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAF002
2nd rowAF002
3rd rowAF002
4th rowAF002
5th rowAF002

Common Values

ValueCountFrequency (%)
AF002 100
100.0%

Length

2023-12-10T15:21:18.319478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:21:18.464895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
af002 100
100.0%

FOOD_CODE
Real number (ℝ)

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5389342 × 109
Minimum1.10022 × 109
Maximum1.710022 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:18.744075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.10022 × 109
5-th percentile1.2001942 × 109
Q16.1020801 × 109
median8.1028752 × 109
Q31.610008 × 1010
95-th percentile1.620032 × 1010
Maximum1.710022 × 1010
Range1.6 × 1010
Interquartile range (IQR)9.9979999 × 109

Descriptive statistics

Standard deviation5.4149977 × 109
Coefficient of variation (CV)0.56767324
Kurtosis-1.4694179
Mean9.5389342 × 109
Median Absolute Deviation (MAD)5.0026951 × 109
Skewness0.0033078786
Sum9.5389342 × 1011
Variance2.93222 × 1019
MonotonicityNot monotonic
2023-12-10T15:21:19.035143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
6201950020 9
 
9.0%
16200320010 8
 
8.0%
6200620010 8
 
8.0%
16200010020 6
 
6.0%
14000280000 4
 
4.0%
14200260010 4
 
4.0%
16100080010 4
 
4.0%
1202010210 4
 
4.0%
3100180050 4
 
4.0%
10200030010 3
 
3.0%
Other values (36) 46
46.0%
ValueCountFrequency (%)
1100220020 1
 
1.0%
1100280010 3
3.0%
1200080010 1
 
1.0%
1200200190 1
 
1.0%
1202010210 4
4.0%
2103000010 2
2.0%
3100180050 4
4.0%
4200240010 1
 
1.0%
4201000010 1
 
1.0%
5100190050 1
 
1.0%
ValueCountFrequency (%)
17100220010 2
 
2.0%
16200320010 8
8.0%
16200120000 2
 
2.0%
16200050010 2
 
2.0%
16200010020 6
6.0%
16100730020 3
 
3.0%
16100080010 4
4.0%
16100070010 1
 
1.0%
15201150010 1
 
1.0%
14200260010 4
4.0%

FD_QY_VALUE
Real number (ℝ)

Distinct49
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.1073
Minimum0.05
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:19.329034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.1
Q10.5
median2.8
Q315.1
95-th percentile56.09
Maximum200
Range199.95
Interquartile range (IQR)14.6

Descriptive statistics

Standard deviation34.108943
Coefficient of variation (CV)2.2577789
Kurtosis18.826592
Mean15.1073
Median Absolute Deviation (MAD)2.7
Skewness4.1771756
Sum1510.73
Variance1163.42
MonotonicityNot monotonic
2023-12-10T15:21:19.621230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.1 11
 
11.0%
0.3 8
 
8.0%
1.5 5
 
5.0%
7.7 4
 
4.0%
0.5 4
 
4.0%
0.6 3
 
3.0%
15.4 3
 
3.0%
0.2 3
 
3.0%
12.3 3
 
3.0%
0.8 3
 
3.0%
Other values (39) 53
53.0%
ValueCountFrequency (%)
0.05 1
 
1.0%
0.1 11
11.0%
0.2 3
 
3.0%
0.3 8
8.0%
0.5 4
 
4.0%
0.6 3
 
3.0%
0.8 3
 
3.0%
0.9 2
 
2.0%
1.0 1
 
1.0%
1.1 1
 
1.0%
ValueCountFrequency (%)
200.0 1
1.0%
184.6 1
1.0%
180.0 1
1.0%
77.0 1
1.0%
69.2 1
1.0%
55.4 1
1.0%
46.2 1
1.0%
46.0 2
2.0%
32.0 1
1.0%
30.8 2
2.0%

TOT_CALORIE_VALUE
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.9926
Minimum0
Maximum250.5
Zeros9
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:19.895969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.59
median2.34
Q328.1525
95-th percentile64.1625
Maximum250.5
Range250.5
Interquartile range (IQR)27.5625

Descriptive statistics

Standard deviation41.407693
Coefficient of variation (CV)1.97249
Kurtosis13.702042
Mean20.9926
Median Absolute Deviation (MAD)2.34
Skewness3.4525428
Sum2099.26
Variance1714.5971
MonotonicityNot monotonic
2023-12-10T15:21:20.153035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9
 
9.0%
0.31 6
 
6.0%
1.89 4
 
4.0%
0.38 3
 
3.0%
5.01 2
 
2.0%
63.0 2
 
2.0%
62.39 2
 
2.0%
7.35 2
 
2.0%
0.73 2
 
2.0%
0.59 2
 
2.0%
Other values (61) 66
66.0%
ValueCountFrequency (%)
0.0 9
9.0%
0.13 2
 
2.0%
0.21 2
 
2.0%
0.27 1
 
1.0%
0.3 1
 
1.0%
0.31 6
6.0%
0.38 3
 
3.0%
0.59 2
 
2.0%
0.64 1
 
1.0%
0.69 1
 
1.0%
ValueCountFrequency (%)
250.5 1
1.0%
187.25 1
1.0%
173.25 1
1.0%
168.82 1
1.0%
86.25 1
1.0%
63.0 2
2.0%
62.39 2
2.0%
58.46 1
1.0%
57.75 1
1.0%
51.84 1
1.0%

CARBO_VALUE
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4387
Minimum0
Maximum54.32
Zeros19
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:20.383273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03
median0.18
Q31.03
95-th percentile13.236
Maximum54.32
Range54.32
Interquartile range (IQR)1

Descriptive statistics

Standard deviation8.8685169
Coefficient of variation (CV)2.5790319
Kurtosis15.770495
Mean3.4387
Median Absolute Deviation (MAD)0.18
Skewness3.7974428
Sum343.87
Variance78.650591
MonotonicityNot monotonic
2023-12-10T15:21:20.633626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 19
 
19.0%
0.05 5
 
5.0%
0.03 5
 
5.0%
0.18 4
 
4.0%
0.09 4
 
4.0%
0.45 4
 
4.0%
0.08 3
 
3.0%
0.06 3
 
3.0%
0.22 3
 
3.0%
0.2 2
 
2.0%
Other values (44) 48
48.0%
ValueCountFrequency (%)
0.0 19
19.0%
0.01 2
 
2.0%
0.02 1
 
1.0%
0.03 5
 
5.0%
0.04 2
 
2.0%
0.05 5
 
5.0%
0.06 3
 
3.0%
0.08 3
 
3.0%
0.09 4
 
4.0%
0.12 1
 
1.0%
ValueCountFrequency (%)
54.32 1
1.0%
39.61 1
1.0%
37.92 1
1.0%
34.41 1
1.0%
19.43 1
1.0%
12.91 1
1.0%
12.72 2
2.0%
12.64 1
1.0%
12.41 1
1.0%
12.3 1
1.0%

FAT_VALUE
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4654
Minimum0
Maximum7
Zeros42
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:21.237859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.015
Q30.1975
95-th percentile2.01
Maximum7
Range7
Interquartile range (IQR)0.1975

Descriptive statistics

Standard deviation1.2511445
Coefficient of variation (CV)2.6883207
Kurtosis16.709136
Mean0.4654
Median Absolute Deviation (MAD)0.015
Skewness3.9813331
Sum46.54
Variance1.5653625
MonotonicityNot monotonic
2023-12-10T15:21:21.568892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 42
42.0%
0.01 8
 
8.0%
0.02 5
 
5.0%
0.09 5
 
5.0%
0.19 4
 
4.0%
0.63 2
 
2.0%
5.0 2
 
2.0%
0.05 2
 
2.0%
0.06 2
 
2.0%
7.0 2
 
2.0%
Other values (26) 26
26.0%
ValueCountFrequency (%)
0.0 42
42.0%
0.01 8
 
8.0%
0.02 5
 
5.0%
0.03 1
 
1.0%
0.04 1
 
1.0%
0.05 2
 
2.0%
0.06 2
 
2.0%
0.07 1
 
1.0%
0.08 1
 
1.0%
0.09 5
 
5.0%
ValueCountFrequency (%)
7.0 2
2.0%
5.0 2
2.0%
2.2 1
1.0%
2.0 1
1.0%
1.89 1
1.0%
1.64 1
1.0%
1.61 1
1.0%
1.57 1
1.0%
1.5 1
1.0%
1.41 1
1.0%

VFAT_VALUE
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1006
Minimum0
Maximum2.2
Zeros72
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:21.784365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.5155
Maximum2.2
Range2.2
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.35036149
Coefficient of variation (CV)3.4827186
Kurtosis23.961704
Mean0.1006
Median Absolute Deviation (MAD)0
Skewness4.8035928
Sum10.06
Variance0.12275317
MonotonicityNot monotonic
2023-12-10T15:21:21.957885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 72
72.0%
0.01 5
 
5.0%
0.19 4
 
4.0%
0.06 2
 
2.0%
0.04 1
 
1.0%
0.35 1
 
1.0%
0.05 1
 
1.0%
0.3 1
 
1.0%
0.11 1
 
1.0%
1.61 1
 
1.0%
Other values (11) 11
 
11.0%
ValueCountFrequency (%)
0.0 72
72.0%
0.01 5
 
5.0%
0.02 1
 
1.0%
0.03 1
 
1.0%
0.04 1
 
1.0%
0.05 1
 
1.0%
0.06 2
 
2.0%
0.08 1
 
1.0%
0.09 1
 
1.0%
0.11 1
 
1.0%
ValueCountFrequency (%)
2.2 1
 
1.0%
2.0 1
 
1.0%
1.61 1
 
1.0%
0.8 1
 
1.0%
0.62 1
 
1.0%
0.51 1
 
1.0%
0.35 1
 
1.0%
0.3 1
 
1.0%
0.19 4
4.0%
0.17 1
 
1.0%

AFAT_VALUE
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0601
Minimum0
Maximum1.89
Zeros94
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:22.221240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.383
Maximum1.89
Range1.89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2714737
Coefficient of variation (CV)4.5170333
Kurtosis28.199392
Mean0.0601
Median Absolute Deviation (MAD)0
Skewness5.1660562
Sum6.01
Variance0.07369797
MonotonicityNot monotonic
2023-12-10T15:21:22.427153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 94
94.0%
0.63 2
 
2.0%
1.08 1
 
1.0%
0.37 1
 
1.0%
1.41 1
 
1.0%
1.89 1
 
1.0%
ValueCountFrequency (%)
0.0 94
94.0%
0.37 1
 
1.0%
0.63 2
 
2.0%
1.08 1
 
1.0%
1.41 1
 
1.0%
1.89 1
 
1.0%
ValueCountFrequency (%)
1.89 1
 
1.0%
1.41 1
 
1.0%
1.08 1
 
1.0%
0.63 2
 
2.0%
0.37 1
 
1.0%
0.0 94
94.0%

PROTN_VALUE
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.828
Minimum0
Maximum8.46
Zeros21
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:22.672018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.08
Q30.7925
95-th percentile4.65
Maximum8.46
Range8.46
Interquartile range (IQR)0.7825

Descriptive statistics

Standard deviation1.5920859
Coefficient of variation (CV)1.922809
Kurtosis6.3841373
Mean0.828
Median Absolute Deviation (MAD)0.08
Skewness2.474247
Sum82.8
Variance2.5347374
MonotonicityNot monotonic
2023-12-10T15:21:22.907523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.0 21
21.0%
0.01 10
 
10.0%
0.02 6
 
6.0%
0.03 5
 
5.0%
0.08 5
 
5.0%
0.04 3
 
3.0%
0.91 2
 
2.0%
4.65 2
 
2.0%
0.69 2
 
2.0%
0.15 2
 
2.0%
Other values (38) 42
42.0%
ValueCountFrequency (%)
0.0 21
21.0%
0.01 10
10.0%
0.02 6
 
6.0%
0.03 5
 
5.0%
0.04 3
 
3.0%
0.05 2
 
2.0%
0.06 1
 
1.0%
0.07 1
 
1.0%
0.08 5
 
5.0%
0.09 2
 
2.0%
ValueCountFrequency (%)
8.46 1
1.0%
6.06 1
1.0%
5.46 1
1.0%
4.78 1
1.0%
4.65 2
2.0%
4.29 1
1.0%
3.68 1
1.0%
3.42 1
1.0%
3.17 1
1.0%
2.98 1
1.0%

VPRTN_VALUE
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2967
Minimum0
Maximum4.78
Zeros57
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:23.216735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.04
95-th percentile2.489
Maximum4.78
Range4.78
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.87198839
Coefficient of variation (CV)2.9389565
Kurtosis12.877312
Mean0.2967
Median Absolute Deviation (MAD)0
Skewness3.5708999
Sum29.67
Variance0.76036375
MonotonicityNot monotonic
2023-12-10T15:21:23.447562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 57
57.0%
0.01 9
 
9.0%
0.02 5
 
5.0%
0.08 4
 
4.0%
0.04 3
 
3.0%
0.03 2
 
2.0%
1.77 2
 
2.0%
0.69 2
 
2.0%
0.05 2
 
2.0%
0.83 1
 
1.0%
Other values (13) 13
 
13.0%
ValueCountFrequency (%)
0.0 57
57.0%
0.01 9
 
9.0%
0.02 5
 
5.0%
0.03 2
 
2.0%
0.04 3
 
3.0%
0.05 2
 
2.0%
0.08 4
 
4.0%
0.09 1
 
1.0%
0.13 1
 
1.0%
0.16 1
 
1.0%
ValueCountFrequency (%)
4.78 1
1.0%
4.29 1
1.0%
3.42 1
1.0%
2.85 1
1.0%
2.66 1
1.0%
2.48 1
1.0%
1.77 2
2.0%
1.02 1
1.0%
0.83 1
1.0%
0.8 1
1.0%

APRTN_VALUE
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.237
Minimum0
Maximum8.46
Zeros94
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:23.657072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.91
Maximum8.46
Range8.46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1603774
Coefficient of variation (CV)4.8961073
Kurtosis33.24861
Mean0.237
Median Absolute Deviation (MAD)0
Skewness5.6330187
Sum23.7
Variance1.3464758
MonotonicityNot monotonic
2023-12-10T15:21:23.867994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 94
94.0%
0.91 2
 
2.0%
4.65 1
 
1.0%
8.46 1
 
1.0%
6.06 1
 
1.0%
2.71 1
 
1.0%
ValueCountFrequency (%)
0.0 94
94.0%
0.91 2
 
2.0%
2.71 1
 
1.0%
4.65 1
 
1.0%
6.06 1
 
1.0%
8.46 1
 
1.0%
ValueCountFrequency (%)
8.46 1
 
1.0%
6.06 1
 
1.0%
4.65 1
 
1.0%
2.71 1
 
1.0%
0.91 2
 
2.0%
0.0 94
94.0%

LEGALDONG_CODE
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
CB 100
100.0%

Length

2023-12-10T15:21:24.063866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:21:24.225982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
cb 100
100.0%

FIBR_VALUE
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3299
Minimum0
Maximum5.71
Zeros42
Zeros (%)42.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:24.374319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.02
Q30.13
95-th percentile2.046
Maximum5.71
Range5.71
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.89656189
Coefficient of variation (CV)2.7176778
Kurtosis19.584926
Mean0.3299
Median Absolute Deviation (MAD)0.02
Skewness4.1710364
Sum32.99
Variance0.80382322
MonotonicityNot monotonic
2023-12-10T15:21:24.591697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.0 42
42.0%
0.02 9
 
9.0%
0.01 4
 
4.0%
0.04 4
 
4.0%
0.09 4
 
4.0%
0.13 3
 
3.0%
0.07 2
 
2.0%
0.08 2
 
2.0%
0.48 2
 
2.0%
0.17 2
 
2.0%
Other values (25) 26
26.0%
ValueCountFrequency (%)
0.0 42
42.0%
0.01 4
 
4.0%
0.02 9
 
9.0%
0.03 2
 
2.0%
0.04 4
 
4.0%
0.05 1
 
1.0%
0.07 2
 
2.0%
0.08 2
 
2.0%
0.09 4
 
4.0%
0.1 1
 
1.0%
ValueCountFrequency (%)
5.71 1
1.0%
4.9 1
1.0%
3.0 1
1.0%
2.3 1
1.0%
2.16 1
1.0%
2.04 1
1.0%
1.42 1
1.0%
1.39 1
1.0%
1.3 1
1.0%
1.29 1
1.0%

MOIST_VALUE
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.2222
Minimum0
Maximum199.6
Zeros20
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:24.877928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0175
median0.84
Q35.4375
95-th percentile27.8655
Maximum199.6
Range199.6
Interquartile range (IQR)5.42

Descriptive statistics

Standard deviation32.862372
Coefficient of variation (CV)3.2148043
Kurtosis24.621183
Mean10.2222
Median Absolute Deviation (MAD)0.84
Skewness4.9323538
Sum1022.22
Variance1079.9355
MonotonicityNot monotonic
2023-12-10T15:21:25.238220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 20
 
20.0%
0.01 5
 
5.0%
0.02 5
 
5.0%
0.95 4
 
4.0%
2.55 3
 
3.0%
5.87 2
 
2.0%
0.38 2
 
2.0%
0.73 2
 
2.0%
0.18 2
 
2.0%
2.26 2
 
2.0%
Other values (51) 53
53.0%
ValueCountFrequency (%)
0.0 20
20.0%
0.01 5
 
5.0%
0.02 5
 
5.0%
0.03 1
 
1.0%
0.09 1
 
1.0%
0.14 1
 
1.0%
0.16 1
 
1.0%
0.18 2
 
2.0%
0.19 2
 
2.0%
0.24 1
 
1.0%
ValueCountFrequency (%)
199.6 1
1.0%
183.49 1
1.0%
178.92 1
1.0%
70.07 1
1.0%
36.52 1
1.0%
27.41 1
1.0%
26.3 1
1.0%
25.5 1
1.0%
24.12 1
1.0%
24.01 1
1.0%

ASH_VALUE
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1497
Minimum0
Maximum1.57
Zeros25
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:25.572549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0075
median0.04
Q30.18
95-th percentile0.644
Maximum1.57
Range1.57
Interquartile range (IQR)0.1725

Descriptive statistics

Standard deviation0.25048823
Coefficient of variation (CV)1.6732681
Kurtosis10.988087
Mean0.1497
Median Absolute Deviation (MAD)0.04
Skewness2.9164201
Sum14.97
Variance0.062744354
MonotonicityNot monotonic
2023-12-10T15:21:25.803176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0.0 25
25.0%
0.02 8
 
8.0%
0.1 7
 
7.0%
0.04 7
 
7.0%
0.01 6
 
6.0%
0.03 5
 
5.0%
0.08 3
 
3.0%
0.07 3
 
3.0%
0.05 3
 
3.0%
0.06 3
 
3.0%
Other values (26) 30
30.0%
ValueCountFrequency (%)
0.0 25
25.0%
0.01 6
 
6.0%
0.02 8
 
8.0%
0.03 5
 
5.0%
0.04 7
 
7.0%
0.05 3
 
3.0%
0.06 3
 
3.0%
0.07 3
 
3.0%
0.08 3
 
3.0%
0.09 1
 
1.0%
ValueCountFrequency (%)
1.57 1
1.0%
0.96 1
1.0%
0.83 1
1.0%
0.77 1
1.0%
0.72 1
1.0%
0.64 1
1.0%
0.6 1
1.0%
0.57 1
1.0%
0.5 1
1.0%
0.44 1
1.0%

VITA_VALUE
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9204
Minimum0
Maximum203.28
Zeros72
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:26.029349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.1775
95-th percentile15.7885
Maximum203.28
Range203.28
Interquartile range (IQR)0.1775

Descriptive statistics

Standard deviation22.80972
Coefficient of variation (CV)4.635745
Kurtosis60.585282
Mean4.9204
Median Absolute Deviation (MAD)0
Skewness7.3956732
Sum492.04
Variance520.28332
MonotonicityNot monotonic
2023-12-10T15:21:26.243447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 72
72.0%
0.02 3
 
3.0%
11.78 2
 
2.0%
1.03 2
 
2.0%
3.62 2
 
2.0%
0.65 2
 
2.0%
2.76 1
 
1.0%
13.95 1
 
1.0%
5.06 1
 
1.0%
0.84 1
 
1.0%
Other values (13) 13
 
13.0%
ValueCountFrequency (%)
0.0 72
72.0%
0.02 3
 
3.0%
0.65 2
 
2.0%
0.84 1
 
1.0%
1.03 2
 
2.0%
1.55 1
 
1.0%
1.74 1
 
1.0%
2.4 1
 
1.0%
2.76 1
 
1.0%
3.6 1
 
1.0%
ValueCountFrequency (%)
203.28 1
1.0%
91.37 1
1.0%
35.19 1
1.0%
34.55 1
1.0%
30.96 1
1.0%
14.99 1
1.0%
13.95 1
1.0%
11.78 2
2.0%
6.06 1
1.0%
5.52 1
1.0%

RTNOL_VALUE
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6993
Minimum0
Maximum34.5
Zeros93
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:26.435377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.802
Maximum34.5
Range34.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.8394595
Coefficient of variation (CV)5.4904325
Kurtosis62.771307
Mean0.6993
Median Absolute Deviation (MAD)0
Skewness7.5183758
Sum69.93
Variance14.741449
MonotonicityNot monotonic
2023-12-10T15:21:26.669937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 93
93.0%
11.55 2
 
2.0%
2.76 1
 
1.0%
5.52 1
 
1.0%
3.6 1
 
1.0%
34.5 1
 
1.0%
0.45 1
 
1.0%
ValueCountFrequency (%)
0.0 93
93.0%
0.45 1
 
1.0%
2.76 1
 
1.0%
3.6 1
 
1.0%
5.52 1
 
1.0%
11.55 2
 
2.0%
34.5 1
 
1.0%
ValueCountFrequency (%)
34.5 1
 
1.0%
11.55 2
 
2.0%
5.52 1
 
1.0%
3.6 1
 
1.0%
2.76 1
 
1.0%
0.45 1
 
1.0%
0.0 93
93.0%

BCRT_VALUE
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.7834
Minimum0
Maximum1219.68
Zeros66
Zeros (%)66.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:26.902205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.945
95-th percentile93.5205
Maximum1219.68
Range1219.68
Interquartile range (IQR)3.945

Descriptive statistics

Standard deviation136.2291
Coefficient of variation (CV)4.7329049
Kurtosis61.915063
Mean28.7834
Median Absolute Deviation (MAD)0
Skewness7.5003205
Sum2878.34
Variance18558.367
MonotonicityNot monotonic
2023-12-10T15:21:27.169962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 66
66.0%
0.13 3
 
3.0%
1.39 2
 
2.0%
21.7 2
 
2.0%
6.2 2
 
2.0%
3.88 2
 
2.0%
9.3 1
 
1.0%
4.99 1
 
1.0%
0.12 1
 
1.0%
30.34 1
 
1.0%
Other values (19) 19
 
19.0%
ValueCountFrequency (%)
0.0 66
66.0%
0.12 1
 
1.0%
0.13 3
 
3.0%
1.1 1
 
1.0%
1.39 2
 
2.0%
3.88 2
 
2.0%
4.14 1
 
1.0%
4.99 1
 
1.0%
5.06 1
 
1.0%
6.2 2
 
2.0%
ValueCountFrequency (%)
1219.68 1
1.0%
548.24 1
1.0%
207.28 1
1.0%
185.64 1
1.0%
161.55 1
1.0%
89.94 1
1.0%
83.7 1
1.0%
80.99 1
1.0%
36.38 1
1.0%
33.8 1
1.0%

VITD_VALUE
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
96 
0.23
 
2
0.92
 
1
0.69
 
1

Length

Max length4
Median length3
Mean length3.04
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row0.23
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 96
96.0%
0.23 2
 
2.0%
0.92 1
 
1.0%
0.69 1
 
1.0%

Length

2023-12-10T15:21:27.531848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:21:27.781472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 96
96.0%
0.23 2
 
2.0%
0.92 1
 
1.0%
0.69 1
 
1.0%

VITE_VALUE
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0698
Minimum0
Maximum0.93
Zeros52
Zeros (%)52.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:28.073413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0525
95-th percentile0.343
Maximum0.93
Range0.93
Interquartile range (IQR)0.0525

Descriptive statistics

Standard deviation0.16048525
Coefficient of variation (CV)2.2992156
Kurtosis15.232201
Mean0.0698
Median Absolute Deviation (MAD)0
Skewness3.7239934
Sum6.98
Variance0.025755515
MonotonicityNot monotonic
2023-12-10T15:21:28.304717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.0 52
52.0%
0.05 9
 
9.0%
0.01 9
 
9.0%
0.02 4
 
4.0%
0.14 3
 
3.0%
0.15 2
 
2.0%
0.16 2
 
2.0%
0.09 2
 
2.0%
0.06 2
 
2.0%
0.1 1
 
1.0%
Other values (14) 14
 
14.0%
ValueCountFrequency (%)
0.0 52
52.0%
0.01 9
 
9.0%
0.02 4
 
4.0%
0.03 1
 
1.0%
0.05 9
 
9.0%
0.06 2
 
2.0%
0.07 1
 
1.0%
0.09 2
 
2.0%
0.1 1
 
1.0%
0.12 1
 
1.0%
ValueCountFrequency (%)
0.93 1
1.0%
0.85 1
1.0%
0.71 1
1.0%
0.46 1
1.0%
0.4 1
1.0%
0.34 1
1.0%
0.32 1
1.0%
0.21 1
1.0%
0.18 1
1.0%
0.17 1
1.0%

VITK_VALUE
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7754
Minimum0
Maximum138.62
Zeros68
Zeros (%)68.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:28.623916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.025
95-th percentile5.5265
Maximum138.62
Range138.62
Interquartile range (IQR)0.025

Descriptive statistics

Standard deviation16.726152
Coefficient of variation (CV)6.0265735
Kurtosis53.206098
Mean2.7754
Median Absolute Deviation (MAD)0
Skewness7.207434
Sum277.54
Variance279.76416
MonotonicityNot monotonic
2023-12-10T15:21:28.827190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 68
68.0%
0.02 5
 
5.0%
0.16 3
 
3.0%
0.05 3
 
3.0%
0.01 2
 
2.0%
0.14 2
 
2.0%
0.04 1
 
1.0%
138.62 1
 
1.0%
5.47 1
 
1.0%
94.25 1
 
1.0%
Other values (13) 13
 
13.0%
ValueCountFrequency (%)
0.0 68
68.0%
0.01 2
 
2.0%
0.02 5
 
5.0%
0.04 1
 
1.0%
0.05 3
 
3.0%
0.11 1
 
1.0%
0.14 2
 
2.0%
0.16 3
 
3.0%
0.27 1
 
1.0%
0.3 1
 
1.0%
ValueCountFrequency (%)
138.62 1
1.0%
94.25 1
1.0%
13.8 1
1.0%
9.6 1
1.0%
6.6 1
1.0%
5.47 1
1.0%
2.82 1
1.0%
1.17 1
1.0%
0.98 1
1.0%
0.85 1
1.0%

VITC_VALUE
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.383
Minimum0
Maximum11.55
Zeros63
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:29.225255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.26
95-th percentile2.042
Maximum11.55
Range11.55
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation1.2903202
Coefficient of variation (CV)3.3689823
Kurtosis57.895149
Mean0.383
Median Absolute Deviation (MAD)0
Skewness7.0120388
Sum38.3
Variance1.6649263
MonotonicityNot monotonic
2023-12-10T15:21:29.519250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 63
63.0%
0.42 4
 
4.0%
0.17 4
 
4.0%
0.08 2
 
2.0%
0.11 2
 
2.0%
0.6 2
 
2.0%
0.59 2
 
2.0%
0.92 1
 
1.0%
2.31 1
 
1.0%
0.24 1
 
1.0%
Other values (18) 18
 
18.0%
ValueCountFrequency (%)
0.0 63
63.0%
0.01 1
 
1.0%
0.08 2
 
2.0%
0.09 1
 
1.0%
0.11 2
 
2.0%
0.17 4
 
4.0%
0.24 1
 
1.0%
0.25 1
 
1.0%
0.29 1
 
1.0%
0.31 1
 
1.0%
ValueCountFrequency (%)
11.55 1
1.0%
3.84 1
1.0%
2.46 1
1.0%
2.31 1
1.0%
2.27 1
1.0%
2.03 1
1.0%
1.85 1
1.0%
1.11 1
1.0%
0.99 1
1.0%
0.92 1
1.0%

FD_SVC_NM
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저염식 100
100.0%

Length

2023-12-10T15:21:29.889131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:21:30.027081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저염식 100
100.0%

VITB1_VALUE
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0123
Minimum0
Maximum0.2
Zeros68
Zeros (%)68.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:30.162435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.0805
Maximum0.2
Range0.2
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.029296637
Coefficient of variation (CV)2.3818404
Kurtosis17.98935
Mean0.0123
Median Absolute Deviation (MAD)0
Skewness3.7824108
Sum1.23
Variance0.00085829293
MonotonicityNot monotonic
2023-12-10T15:21:30.375109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 68
68.0%
0.01 12
 
12.0%
0.02 6
 
6.0%
0.03 4
 
4.0%
0.09 3
 
3.0%
0.05 2
 
2.0%
0.06 2
 
2.0%
0.08 1
 
1.0%
0.1 1
 
1.0%
0.2 1
 
1.0%
ValueCountFrequency (%)
0.0 68
68.0%
0.01 12
 
12.0%
0.02 6
 
6.0%
0.03 4
 
4.0%
0.05 2
 
2.0%
0.06 2
 
2.0%
0.08 1
 
1.0%
0.09 3
 
3.0%
0.1 1
 
1.0%
0.2 1
 
1.0%
ValueCountFrequency (%)
0.2 1
 
1.0%
0.1 1
 
1.0%
0.09 3
 
3.0%
0.08 1
 
1.0%
0.06 2
 
2.0%
0.05 2
 
2.0%
0.03 4
 
4.0%
0.02 6
 
6.0%
0.01 12
 
12.0%
0.0 68
68.0%

VITB2_VALUE
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0185
Minimum0
Maximum0.17
Zeros55
Zeros (%)55.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:30.568590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.091
Maximum0.17
Range0.17
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.035028848
Coefficient of variation (CV)1.8934513
Kurtosis6.6284922
Mean0.0185
Median Absolute Deviation (MAD)0
Skewness2.5721598
Sum1.85
Variance0.0012270202
MonotonicityNot monotonic
2023-12-10T15:21:30.823436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 55
55.0%
0.01 17
 
17.0%
0.02 8
 
8.0%
0.06 4
 
4.0%
0.03 4
 
4.0%
0.09 3
 
3.0%
0.04 2
 
2.0%
0.17 1
 
1.0%
0.13 1
 
1.0%
0.07 1
 
1.0%
Other values (4) 4
 
4.0%
ValueCountFrequency (%)
0.0 55
55.0%
0.01 17
 
17.0%
0.02 8
 
8.0%
0.03 4
 
4.0%
0.04 2
 
2.0%
0.05 1
 
1.0%
0.06 4
 
4.0%
0.07 1
 
1.0%
0.09 3
 
3.0%
0.11 1
 
1.0%
ValueCountFrequency (%)
0.17 1
 
1.0%
0.16 1
 
1.0%
0.13 1
 
1.0%
0.12 1
 
1.0%
0.11 1
 
1.0%
0.09 3
3.0%
0.07 1
 
1.0%
0.06 4
4.0%
0.05 1
 
1.0%
0.04 2
2.0%

NIACN_VALUE
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1439
Minimum0
Maximum1.54
Zeros41
Zeros (%)41.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:31.077043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.09
95-th percentile0.901
Maximum1.54
Range1.54
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.30892415
Coefficient of variation (CV)2.1467974
Kurtosis6.9968271
Mean0.1439
Median Absolute Deviation (MAD)0.01
Skewness2.7178664
Sum14.39
Variance0.095434131
MonotonicityNot monotonic
2023-12-10T15:21:31.295999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.0 41
41.0%
0.01 12
 
12.0%
0.02 10
 
10.0%
0.05 3
 
3.0%
0.09 3
 
3.0%
0.03 3
 
3.0%
0.17 2
 
2.0%
0.32 2
 
2.0%
0.9 2
 
2.0%
0.07 2
 
2.0%
Other values (18) 20
20.0%
ValueCountFrequency (%)
0.0 41
41.0%
0.01 12
 
12.0%
0.02 10
 
10.0%
0.03 3
 
3.0%
0.05 3
 
3.0%
0.06 2
 
2.0%
0.07 2
 
2.0%
0.08 1
 
1.0%
0.09 3
 
3.0%
0.11 1
 
1.0%
ValueCountFrequency (%)
1.54 1
1.0%
1.2 1
1.0%
1.16 2
2.0%
0.92 1
1.0%
0.9 2
2.0%
0.8 1
1.0%
0.71 1
1.0%
0.59 1
1.0%
0.46 1
1.0%
0.42 1
1.0%

VITB6_VALUE
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0105
Minimum0
Maximum0.22
Zeros76
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:31.521712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.08
Maximum0.22
Range0.22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.031410447
Coefficient of variation (CV)2.9914711
Kurtosis22.825602
Mean0.0105
Median Absolute Deviation (MAD)0
Skewness4.4090442
Sum1.05
Variance0.00098661616
MonotonicityNot monotonic
2023-12-10T15:21:31.758180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 76
76.0%
0.01 11
 
11.0%
0.02 4
 
4.0%
0.09 2
 
2.0%
0.08 2
 
2.0%
0.07 1
 
1.0%
0.14 1
 
1.0%
0.05 1
 
1.0%
0.04 1
 
1.0%
0.22 1
 
1.0%
ValueCountFrequency (%)
0.0 76
76.0%
0.01 11
 
11.0%
0.02 4
 
4.0%
0.04 1
 
1.0%
0.05 1
 
1.0%
0.07 1
 
1.0%
0.08 2
 
2.0%
0.09 2
 
2.0%
0.14 1
 
1.0%
0.22 1
 
1.0%
ValueCountFrequency (%)
0.22 1
 
1.0%
0.14 1
 
1.0%
0.09 2
 
2.0%
0.08 2
 
2.0%
0.07 1
 
1.0%
0.05 1
 
1.0%
0.04 1
 
1.0%
0.02 4
 
4.0%
0.01 11
 
11.0%
0.0 76
76.0%

FOLATE_VALUE
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1317
Minimum0
Maximum42.66
Zeros31
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:32.016104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.585
Q33.265
95-th percentile21.8475
Maximum42.66
Range42.66
Interquartile range (IQR)3.265

Descriptive statistics

Standard deviation7.8142887
Coefficient of variation (CV)1.8913011
Kurtosis8.3351527
Mean4.1317
Median Absolute Deviation (MAD)0.585
Skewness2.7667255
Sum413.17
Variance61.063107
MonotonicityNot monotonic
2023-12-10T15:21:32.379715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 31
31.0%
1.3 4
 
4.0%
0.11 3
 
3.0%
0.01 3
 
3.0%
9.59 2
 
2.0%
2.72 2
 
2.0%
3.18 2
 
2.0%
0.1 2
 
2.0%
0.19 2
 
2.0%
0.91 2
 
2.0%
Other values (44) 47
47.0%
ValueCountFrequency (%)
0.0 31
31.0%
0.01 3
 
3.0%
0.09 1
 
1.0%
0.1 2
 
2.0%
0.11 3
 
3.0%
0.19 2
 
2.0%
0.26 2
 
2.0%
0.29 1
 
1.0%
0.36 1
 
1.0%
0.52 2
 
2.0%
ValueCountFrequency (%)
42.66 1
1.0%
34.04 1
1.0%
28.64 1
1.0%
26.57 1
1.0%
23.51 1
1.0%
21.76 1
1.0%
17.51 1
1.0%
16.95 1
1.0%
14.97 1
1.0%
14.96 1
1.0%

VITB12_VALUE
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2849
Minimum0
Maximum22.2
Zeros91
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:32.684958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.224
Maximum22.2
Range22.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.2466143
Coefficient of variation (CV)7.885624
Kurtosis94.133601
Mean0.2849
Median Absolute Deviation (MAD)0
Skewness9.5997052
Sum28.49
Variance5.0472757
MonotonicityNot monotonic
2023-12-10T15:21:33.361093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 91
91.0%
0.1 2
 
2.0%
0.17 1
 
1.0%
0.77 1
 
1.0%
3.63 1
 
1.0%
22.2 1
 
1.0%
1.0 1
 
1.0%
0.3 1
 
1.0%
0.22 1
 
1.0%
ValueCountFrequency (%)
0.0 91
91.0%
0.1 2
 
2.0%
0.17 1
 
1.0%
0.22 1
 
1.0%
0.3 1
 
1.0%
0.77 1
 
1.0%
1.0 1
 
1.0%
3.63 1
 
1.0%
22.2 1
 
1.0%
ValueCountFrequency (%)
22.2 1
 
1.0%
3.63 1
 
1.0%
1.0 1
 
1.0%
0.77 1
 
1.0%
0.3 1
 
1.0%
0.22 1
 
1.0%
0.17 1
 
1.0%
0.1 2
 
2.0%
0.0 91
91.0%

PANTO_VALUE
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0408
Minimum0
Maximum0.57
Zeros64
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:33.564662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0325
95-th percentile0.233
Maximum0.57
Range0.57
Interquartile range (IQR)0.0325

Descriptive statistics

Standard deviation0.092459983
Coefficient of variation (CV)2.2661761
Kurtosis12.778572
Mean0.0408
Median Absolute Deviation (MAD)0
Skewness3.2948243
Sum4.08
Variance0.0085488485
MonotonicityNot monotonic
2023-12-10T15:21:33.772567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 64
64.0%
0.01 8
 
8.0%
0.11 4
 
4.0%
0.04 4
 
4.0%
0.12 3
 
3.0%
0.18 2
 
2.0%
0.08 2
 
2.0%
0.02 2
 
2.0%
0.14 1
 
1.0%
0.1 1
 
1.0%
Other values (9) 9
 
9.0%
ValueCountFrequency (%)
0.0 64
64.0%
0.01 8
 
8.0%
0.02 2
 
2.0%
0.03 1
 
1.0%
0.04 4
 
4.0%
0.05 1
 
1.0%
0.07 1
 
1.0%
0.08 2
 
2.0%
0.1 1
 
1.0%
0.11 4
 
4.0%
ValueCountFrequency (%)
0.57 1
 
1.0%
0.37 1
 
1.0%
0.33 1
 
1.0%
0.3 1
 
1.0%
0.29 1
 
1.0%
0.23 1
 
1.0%
0.18 2
2.0%
0.14 1
 
1.0%
0.12 3
3.0%
0.11 4
4.0%

BIOTIN_VALUE
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.137
Minimum0
Maximum5.75
Zeros89
Zeros (%)89.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:33.955322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.526
Maximum5.75
Range5.75
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.66072886
Coefficient of variation (CV)4.8228384
Kurtosis54.478354
Mean0.137
Median Absolute Deviation (MAD)0
Skewness6.9194667
Sum13.7
Variance0.43656263
MonotonicityNot monotonic
2023-12-10T15:21:34.127705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 89
89.0%
1.93 2
 
2.0%
0.19 2
 
2.0%
0.83 1
 
1.0%
0.09 1
 
1.0%
5.75 1
 
1.0%
1.86 1
 
1.0%
0.27 1
 
1.0%
0.51 1
 
1.0%
0.15 1
 
1.0%
ValueCountFrequency (%)
0.0 89
89.0%
0.09 1
 
1.0%
0.15 1
 
1.0%
0.19 2
 
2.0%
0.27 1
 
1.0%
0.51 1
 
1.0%
0.83 1
 
1.0%
1.86 1
 
1.0%
1.93 2
 
2.0%
5.75 1
 
1.0%
ValueCountFrequency (%)
5.75 1
 
1.0%
1.93 2
 
2.0%
1.86 1
 
1.0%
0.83 1
 
1.0%
0.51 1
 
1.0%
0.27 1
 
1.0%
0.19 2
 
2.0%
0.15 1
 
1.0%
0.09 1
 
1.0%
0.0 89
89.0%

CA_VALUE
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9639
Minimum0
Maximum92.86
Zeros8
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:34.414131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.08
median0.76
Q33.495
95-th percentile27.2385
Maximum92.86
Range92.86
Interquartile range (IQR)3.415

Descriptive statistics

Standard deviation12.391319
Coefficient of variation (CV)2.496287
Kurtosis26.93983
Mean4.9639
Median Absolute Deviation (MAD)0.72
Skewness4.6608168
Sum496.39
Variance153.54478
MonotonicityNot monotonic
2023-12-10T15:21:34.687905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
8.0%
0.04 7
 
7.0%
0.08 4
 
4.0%
0.15 4
 
4.0%
0.41 3
 
3.0%
2.04 3
 
3.0%
0.06 3
 
3.0%
0.28 3
 
3.0%
1.22 2
 
2.0%
0.49 2
 
2.0%
Other values (55) 61
61.0%
ValueCountFrequency (%)
0.0 8
8.0%
0.02 2
 
2.0%
0.03 2
 
2.0%
0.04 7
7.0%
0.06 3
 
3.0%
0.07 1
 
1.0%
0.08 4
4.0%
0.15 4
4.0%
0.16 1
 
1.0%
0.2 2
 
2.0%
ValueCountFrequency (%)
92.86 1
1.0%
43.42 1
1.0%
42.0 1
1.0%
35.88 1
1.0%
35.57 1
1.0%
26.8 1
1.0%
21.56 1
1.0%
21.0 1
1.0%
17.4 1
1.0%
13.01 1
1.0%

VCA_VALUE
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5215
Minimum0
Maximum92.86
Zeros57
Zeros (%)57.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:34.897496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.8175
95-th percentile9.1625
Maximum92.86
Range92.86
Interquartile range (IQR)0.8175

Descriptive statistics

Standard deviation10.31966
Coefficient of variation (CV)4.0926669
Kurtosis61.250612
Mean2.5215
Median Absolute Deviation (MAD)0
Skewness7.3557875
Sum252.15
Variance106.49538
MonotonicityNot monotonic
2023-12-10T15:21:35.095942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.0 57
57.0%
0.15 4
 
4.0%
0.28 3
 
3.0%
2.04 3
 
3.0%
0.41 2
 
2.0%
0.03 2
 
2.0%
0.06 2
 
2.0%
0.65 2
 
2.0%
1.22 2
 
2.0%
2.27 2
 
2.0%
Other values (21) 21
 
21.0%
ValueCountFrequency (%)
0.0 57
57.0%
0.02 1
 
1.0%
0.03 2
 
2.0%
0.06 2
 
2.0%
0.15 4
 
4.0%
0.22 1
 
1.0%
0.28 3
 
3.0%
0.41 2
 
2.0%
0.65 2
 
2.0%
0.77 1
 
1.0%
ValueCountFrequency (%)
92.86 1
1.0%
35.57 1
1.0%
21.56 1
1.0%
17.4 1
1.0%
13.01 1
1.0%
8.96 1
1.0%
8.75 1
1.0%
8.36 1
1.0%
5.52 1
1.0%
4.75 1
1.0%

LEGALDONG_NM
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충북 100
100.0%

Length

2023-12-10T15:21:35.314009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:21:35.482622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충북 100
100.0%

ACA_VALUE
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5398
Minimum0
Maximum35.88
Zeros94
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:35.623514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.7005
Maximum35.88
Range35.88
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.7325302
Coefficient of variation (CV)6.914654
Kurtosis83.584886
Mean0.5398
Median Absolute Deviation (MAD)0
Skewness8.9160785
Sum53.98
Variance13.931782
MonotonicityNot monotonic
2023-12-10T15:21:35.817843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 94
94.0%
3.31 2
 
2.0%
0.69 1
 
1.0%
35.88 1
 
1.0%
0.9 1
 
1.0%
9.89 1
 
1.0%
ValueCountFrequency (%)
0.0 94
94.0%
0.69 1
 
1.0%
0.9 1
 
1.0%
3.31 2
 
2.0%
9.89 1
 
1.0%
35.88 1
 
1.0%
ValueCountFrequency (%)
35.88 1
 
1.0%
9.89 1
 
1.0%
3.31 2
 
2.0%
0.9 1
 
1.0%
0.69 1
 
1.0%
0.0 94
94.0%

PHOSPHO_VALUE
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.9969
Minimum0
Maximum198.33
Zeros20
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:36.022697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.18
median1.815
Q310.775
95-th percentile47.7815
Maximum198.33
Range198.33
Interquartile range (IQR)10.595

Descriptive statistics

Standard deviation26.275754
Coefficient of variation (CV)2.1902119
Kurtosis26.364329
Mean11.9969
Median Absolute Deviation (MAD)1.815
Skewness4.4759275
Sum1199.69
Variance690.41522
MonotonicityNot monotonic
2023-12-10T15:21:36.268932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 20
 
20.0%
0.98 4
 
4.0%
2.46 4
 
4.0%
0.17 3
 
3.0%
12.47 2
 
2.0%
17.17 2
 
2.0%
0.18 2
 
2.0%
0.49 2
 
2.0%
0.28 2
 
2.0%
0.44 2
 
2.0%
Other values (56) 57
57.0%
ValueCountFrequency (%)
0.0 20
20.0%
0.1 1
 
1.0%
0.17 3
 
3.0%
0.18 2
 
2.0%
0.2 1
 
1.0%
0.28 2
 
2.0%
0.38 1
 
1.0%
0.42 1
 
1.0%
0.44 2
 
2.0%
0.49 2
 
2.0%
ValueCountFrequency (%)
198.33 1
1.0%
99.82 1
1.0%
73.92 1
1.0%
71.23 1
1.0%
66.43 1
1.0%
46.8 1
1.0%
46.46 1
1.0%
45.02 1
1.0%
44.35 1
1.0%
38.7 1
1.0%

NA_VALUE
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.242
Minimum0
Maximum258.28
Zeros13
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:36.549108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02
median0.34
Q311.885
95-th percentile58.0485
Maximum258.28
Range258.28
Interquartile range (IQR)11.865

Descriptive statistics

Standard deviation39.012745
Coefficient of variation (CV)2.5595555
Kurtosis20.613378
Mean15.242
Median Absolute Deviation (MAD)0.34
Skewness4.2699446
Sum1524.2
Variance1521.9943
MonotonicityNot monotonic
2023-12-10T15:21:36.815296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 13
 
13.0%
0.01 10
 
10.0%
0.05 7
 
7.0%
33.6 6
 
6.0%
0.02 6
 
6.0%
0.03 4
 
4.0%
11.7 2
 
2.0%
0.34 2
 
2.0%
0.31 2
 
2.0%
14.35 2
 
2.0%
Other values (46) 46
46.0%
ValueCountFrequency (%)
0.0 13
13.0%
0.01 10
10.0%
0.02 6
6.0%
0.03 4
 
4.0%
0.05 7
7.0%
0.11 1
 
1.0%
0.12 1
 
1.0%
0.14 1
 
1.0%
0.16 1
 
1.0%
0.18 1
 
1.0%
ValueCountFrequency (%)
258.28 1
1.0%
191.32 1
1.0%
167.99 1
1.0%
114.9 1
1.0%
73.6 1
1.0%
57.23 1
1.0%
55.8 1
1.0%
47.83 1
1.0%
43.12 1
1.0%
38.0 1
1.0%

CHLOR_VALUE
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8722
Minimum0
Maximum207.6
Zeros87
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:37.002161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.8355
Maximum207.6
Range207.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21.186627
Coefficient of variation (CV)7.3764455
Kurtosis90.598726
Mean2.8722
Median Absolute Deviation (MAD)0
Skewness9.3626513
Sum287.22
Variance448.87316
MonotonicityNot monotonic
2023-12-10T15:21:37.180831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 87
87.0%
0.45 4
 
4.0%
13.86 2
 
2.0%
0.09 2
 
2.0%
0.18 2
 
2.0%
207.6 1
 
1.0%
41.4 1
 
1.0%
8.16 1
 
1.0%
ValueCountFrequency (%)
0.0 87
87.0%
0.09 2
 
2.0%
0.18 2
 
2.0%
0.45 4
 
4.0%
8.16 1
 
1.0%
13.86 2
 
2.0%
41.4 1
 
1.0%
207.6 1
 
1.0%
ValueCountFrequency (%)
207.6 1
 
1.0%
41.4 1
 
1.0%
13.86 2
 
2.0%
8.16 1
 
1.0%
0.45 4
 
4.0%
0.18 2
 
2.0%
0.09 2
 
2.0%
0.0 87
87.0%

POTSSM_VALUE
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.3672
Minimum0
Maximum325.21
Zeros9
Zeros (%)9.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:37.415007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8
median5.145
Q326.4275
95-th percentile185.8345
Maximum325.21
Range325.21
Interquartile range (IQR)25.6275

Descriptive statistics

Standard deviation65.046311
Coefficient of variation (CV)1.9494087
Kurtosis6.7167635
Mean33.3672
Median Absolute Deviation (MAD)5.08
Skewness2.6370663
Sum3336.72
Variance4231.0226
MonotonicityNot monotonic
2023-12-10T15:21:37.633692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9
 
9.0%
0.14 6
 
6.0%
9.96 4
 
4.0%
1.1 3
 
3.0%
5.21 2
 
2.0%
17.51 2
 
2.0%
1.44 2
 
2.0%
0.02 2
 
2.0%
0.46 2
 
2.0%
11.01 2
 
2.0%
Other values (61) 66
66.0%
ValueCountFrequency (%)
0.0 9
9.0%
0.01 1
 
1.0%
0.02 2
 
2.0%
0.06 1
 
1.0%
0.07 1
 
1.0%
0.12 1
 
1.0%
0.14 6
6.0%
0.46 2
 
2.0%
0.66 1
 
1.0%
0.68 1
 
1.0%
ValueCountFrequency (%)
325.21 1
1.0%
257.18 1
1.0%
243.76 1
1.0%
236.44 1
1.0%
232.85 1
1.0%
183.36 1
1.0%
158.76 1
1.0%
154.8 1
1.0%
141.37 1
1.0%
138.6 1
1.0%

MGM_VALUE
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.309
Minimum0
Maximum83.65
Zeros45
Zeros (%)45.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:37.842757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.075
Q30.94
95-th percentile11.523
Maximum83.65
Range83.65
Interquartile range (IQR)0.94

Descriptive statistics

Standard deviation9.246898
Coefficient of variation (CV)4.0047198
Kurtosis62.126004
Mean2.309
Median Absolute Deviation (MAD)0.075
Skewness7.3952287
Sum230.9
Variance85.505122
MonotonicityNot monotonic
2023-12-10T15:21:38.022289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 45
45.0%
0.38 4
 
4.0%
0.12 3
 
3.0%
0.18 3
 
3.0%
0.92 2
 
2.0%
0.64 2
 
2.0%
0.21 2
 
2.0%
0.02 2
 
2.0%
4.25 2
 
2.0%
0.15 2
 
2.0%
Other values (31) 33
33.0%
ValueCountFrequency (%)
0.0 45
45.0%
0.01 1
 
1.0%
0.02 2
 
2.0%
0.05 1
 
1.0%
0.07 1
 
1.0%
0.08 2
 
2.0%
0.12 3
 
3.0%
0.15 2
 
2.0%
0.18 3
 
3.0%
0.21 2
 
2.0%
ValueCountFrequency (%)
83.65 1
1.0%
26.88 1
1.0%
24.22 1
1.0%
16.5 1
1.0%
11.96 1
1.0%
11.5 1
1.0%
4.62 1
1.0%
4.25 2
2.0%
3.73 1
1.0%
3.18 1
1.0%

IRON_VALUE
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2922
Minimum0
Maximum6.2
Zeros27
Zeros (%)27.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:38.210430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.03
Q30.1775
95-th percentile1.261
Maximum6.2
Range6.2
Interquartile range (IQR)0.1775

Descriptive statistics

Standard deviation0.83861307
Coefficient of variation (CV)2.8699968
Kurtosis30.18043
Mean0.2922
Median Absolute Deviation (MAD)0.03
Skewness5.1756098
Sum29.22
Variance0.70327188
MonotonicityNot monotonic
2023-12-10T15:21:38.433957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0.0 27
27.0%
0.01 13
13.0%
0.02 9
 
9.0%
0.03 8
 
8.0%
0.11 6
 
6.0%
0.05 3
 
3.0%
0.04 3
 
3.0%
0.06 2
 
2.0%
0.48 2
 
2.0%
0.8 2
 
2.0%
Other values (24) 25
25.0%
ValueCountFrequency (%)
0.0 27
27.0%
0.01 13
13.0%
0.02 9
 
9.0%
0.03 8
 
8.0%
0.04 3
 
3.0%
0.05 3
 
3.0%
0.06 2
 
2.0%
0.07 1
 
1.0%
0.09 1
 
1.0%
0.11 6
 
6.0%
ValueCountFrequency (%)
6.2 1
1.0%
4.02 1
1.0%
3.59 1
1.0%
1.36 1
1.0%
1.28 1
1.0%
1.26 1
1.0%
0.9 1
1.0%
0.8 2
2.0%
0.64 1
1.0%
0.63 1
1.0%

VIRON_VALUE
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1268
Minimum0
Maximum4.02
Zeros59
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:38.764501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.03
95-th percentile0.648
Maximum4.02
Range4.02
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.46255085
Coefficient of variation (CV)3.6478774
Kurtosis51.904735
Mean0.1268
Median Absolute Deviation (MAD)0
Skewness6.6071293
Sum12.68
Variance0.21395329
MonotonicityNot monotonic
2023-12-10T15:21:39.002395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 59
59.0%
0.01 9
 
9.0%
0.03 7
 
7.0%
0.02 5
 
5.0%
0.11 3
 
3.0%
0.24 2
 
2.0%
0.51 1
 
1.0%
0.62 1
 
1.0%
1.36 1
 
1.0%
1.28 1
 
1.0%
Other values (11) 11
 
11.0%
ValueCountFrequency (%)
0.0 59
59.0%
0.01 9
 
9.0%
0.02 5
 
5.0%
0.03 7
 
7.0%
0.04 1
 
1.0%
0.05 1
 
1.0%
0.06 1
 
1.0%
0.11 3
 
3.0%
0.12 1
 
1.0%
0.17 1
 
1.0%
ValueCountFrequency (%)
4.02 1
1.0%
1.36 1
1.0%
1.28 1
1.0%
0.9 1
1.0%
0.8 1
1.0%
0.64 1
1.0%
0.62 1
1.0%
0.55 1
1.0%
0.51 1
1.0%
0.35 1
1.0%

AIRON_VALUE
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0206
Minimum0
Maximum0.63
Zeros94
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:39.209292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.11
Maximum0.63
Range0.63
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.094257545
Coefficient of variation (CV)4.575609
Kurtosis25.952657
Mean0.0206
Median Absolute Deviation (MAD)0
Skewness5.0433441
Sum2.06
Variance0.0088844848
MonotonicityNot monotonic
2023-12-10T15:21:39.405903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 94
94.0%
0.11 2
 
2.0%
0.48 1
 
1.0%
0.41 1
 
1.0%
0.63 1
 
1.0%
0.32 1
 
1.0%
ValueCountFrequency (%)
0.0 94
94.0%
0.11 2
 
2.0%
0.32 1
 
1.0%
0.41 1
 
1.0%
0.48 1
 
1.0%
0.63 1
 
1.0%
ValueCountFrequency (%)
0.63 1
 
1.0%
0.48 1
 
1.0%
0.41 1
 
1.0%
0.32 1
 
1.0%
0.11 2
 
2.0%
0.0 94
94.0%

ZINC_VALUE
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1022
Minimum0
Maximum1.31
Zeros51
Zeros (%)51.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:39.673457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.06
95-th percentile0.549
Maximum1.31
Range1.31
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.2341267
Coefficient of variation (CV)2.2908679
Kurtosis10.828676
Mean0.1022
Median Absolute Deviation (MAD)0
Skewness3.1977769
Sum10.22
Variance0.054815313
MonotonicityNot monotonic
2023-12-10T15:21:39.962334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.0 51
51.0%
0.01 10
 
10.0%
0.02 7
 
7.0%
0.03 3
 
3.0%
0.15 3
 
3.0%
0.1 2
 
2.0%
0.09 2
 
2.0%
0.3 2
 
2.0%
0.04 2
 
2.0%
0.05 2
 
2.0%
Other values (16) 16
 
16.0%
ValueCountFrequency (%)
0.0 51
51.0%
0.01 10
 
10.0%
0.02 7
 
7.0%
0.03 3
 
3.0%
0.04 2
 
2.0%
0.05 2
 
2.0%
0.09 2
 
2.0%
0.1 2
 
2.0%
0.12 1
 
1.0%
0.15 3
 
3.0%
ValueCountFrequency (%)
1.31 1
1.0%
1.0 1
1.0%
0.92 1
1.0%
0.91 1
1.0%
0.72 1
1.0%
0.54 1
1.0%
0.53 1
1.0%
0.44 1
1.0%
0.37 1
1.0%
0.3 2
2.0%

FD_CTGRY_CODE
Real number (ℝ)

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.96
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:40.229204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q37
95-th percentile11
Maximum11
Range10
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.9845393
Coefficient of variation (CV)0.60172163
Kurtosis-0.55254708
Mean4.96
Median Absolute Deviation (MAD)2
Skewness0.70944202
Sum496
Variance8.9074747
MonotonicityNot monotonic
2023-12-10T15:21:40.412730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 25
25.0%
7 14
14.0%
2 14
14.0%
5 11
11.0%
10 11
11.0%
3 10
 
10.0%
1 9
 
9.0%
11 6
 
6.0%
ValueCountFrequency (%)
1 9
 
9.0%
2 14
14.0%
3 10
 
10.0%
4 25
25.0%
5 11
11.0%
7 14
14.0%
10 11
11.0%
11 6
 
6.0%
ValueCountFrequency (%)
11 6
 
6.0%
10 11
11.0%
7 14
14.0%
5 11
11.0%
4 25
25.0%
3 10
 
10.0%
2 14
14.0%
1 9
 
9.0%

COPPR_VALUE
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0125
Minimum0
Maximum0.12
Zeros71
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:40.661273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.09
Maximum0.12
Range0.12
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.027757063
Coefficient of variation (CV)2.220565
Kurtosis4.9591512
Mean0.0125
Median Absolute Deviation (MAD)0
Skewness2.450988
Sum1.25
Variance0.00077045455
MonotonicityNot monotonic
2023-12-10T15:21:40.859095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 71
71.0%
0.01 10
 
10.0%
0.02 6
 
6.0%
0.1 3
 
3.0%
0.09 2
 
2.0%
0.05 2
 
2.0%
0.08 2
 
2.0%
0.12 1
 
1.0%
0.07 1
 
1.0%
0.04 1
 
1.0%
ValueCountFrequency (%)
0.0 71
71.0%
0.01 10
 
10.0%
0.02 6
 
6.0%
0.04 1
 
1.0%
0.05 2
 
2.0%
0.06 1
 
1.0%
0.07 1
 
1.0%
0.08 2
 
2.0%
0.09 2
 
2.0%
0.1 3
 
3.0%
ValueCountFrequency (%)
0.12 1
 
1.0%
0.1 3
 
3.0%
0.09 2
 
2.0%
0.08 2
 
2.0%
0.07 1
 
1.0%
0.06 1
 
1.0%
0.05 2
 
2.0%
0.04 1
 
1.0%
0.02 6
6.0%
0.01 10
10.0%

FLRN_VALUE
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
97 
0.08
 
2
0.23
 
1

Length

Max length4
Median length3
Mean length3.03
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row0.08
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 97
97.0%
0.08 2
 
2.0%
0.23 1
 
1.0%

Length

2023-12-10T15:21:41.075398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:21:41.241096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 97
97.0%
0.08 2
 
2.0%
0.23 1
 
1.0%

MANG_VALUE
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0456
Minimum0
Maximum1.05
Zeros69
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:41.413610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.162
Maximum1.05
Range1.05
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.168932
Coefficient of variation (CV)3.7046491
Kurtosis26.916966
Mean0.0456
Median Absolute Deviation (MAD)0
Skewness5.1920978
Sum4.56
Variance0.02853802
MonotonicityNot monotonic
2023-12-10T15:21:41.635062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 69
69.0%
0.01 7
 
7.0%
0.07 4
 
4.0%
0.04 3
 
3.0%
0.09 2
 
2.0%
0.05 2
 
2.0%
0.02 2
 
2.0%
0.06 2
 
2.0%
0.03 2
 
2.0%
0.2 1
 
1.0%
Other values (6) 6
 
6.0%
ValueCountFrequency (%)
0.0 69
69.0%
0.01 7
 
7.0%
0.02 2
 
2.0%
0.03 2
 
2.0%
0.04 3
 
3.0%
0.05 2
 
2.0%
0.06 2
 
2.0%
0.07 4
 
4.0%
0.08 1
 
1.0%
0.09 2
 
2.0%
ValueCountFrequency (%)
1.05 1
 
1.0%
0.96 1
 
1.0%
0.91 1
 
1.0%
0.23 1
 
1.0%
0.2 1
 
1.0%
0.16 1
 
1.0%
0.09 2
2.0%
0.08 1
 
1.0%
0.07 4
4.0%
0.06 2
2.0%

IDN_VALUE
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1743
Minimum0
Maximum5.89
Zeros83
Zeros (%)83.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:41.806748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.9155
Maximum5.89
Range5.89
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.74962112
Coefficient of variation (CV)4.3007523
Kurtosis36.852788
Mean0.1743
Median Absolute Deviation (MAD)0
Skewness5.6765821
Sum17.43
Variance0.56193183
MonotonicityNot monotonic
2023-12-10T15:21:42.003380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 83
83.0%
0.01 3
 
3.0%
1.97 2
 
2.0%
0.11 2
 
2.0%
0.08 1
 
1.0%
0.04 1
 
1.0%
0.13 1
 
1.0%
2.59 1
 
1.0%
0.86 1
 
1.0%
5.89 1
 
1.0%
Other values (4) 4
 
4.0%
ValueCountFrequency (%)
0.0 83
83.0%
0.01 3
 
3.0%
0.02 1
 
1.0%
0.04 1
 
1.0%
0.07 1
 
1.0%
0.08 1
 
1.0%
0.11 2
 
2.0%
0.13 1
 
1.0%
0.69 1
 
1.0%
0.86 1
 
1.0%
ValueCountFrequency (%)
5.89 1
1.0%
2.87 1
1.0%
2.59 1
1.0%
1.97 2
2.0%
0.86 1
1.0%
0.69 1
1.0%
0.13 1
1.0%
0.11 2
2.0%
0.08 1
1.0%
0.07 1
1.0%

SELEN_VALUE
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2995
Minimum0
Maximum49.26
Zeros47
Zeros (%)47.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:42.659389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.21
95-th percentile6.7485
Maximum49.26
Range49.26
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation5.4309601
Coefficient of variation (CV)4.1792691
Kurtosis63.061405
Mean1.2995
Median Absolute Deviation (MAD)0.01
Skewness7.4412854
Sum129.95
Variance29.495328
MonotonicityNot monotonic
2023-12-10T15:21:42.883338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.0 47
47.0%
0.02 7
 
7.0%
0.21 6
 
6.0%
0.03 5
 
5.0%
0.01 4
 
4.0%
0.04 3
 
3.0%
2.44 2
 
2.0%
2.48 2
 
2.0%
0.09 2
 
2.0%
0.06 2
 
2.0%
Other values (19) 20
20.0%
ValueCountFrequency (%)
0.0 47
47.0%
0.01 4
 
4.0%
0.02 7
 
7.0%
0.03 5
 
5.0%
0.04 3
 
3.0%
0.06 2
 
2.0%
0.08 1
 
1.0%
0.09 2
 
2.0%
0.1 1
 
1.0%
0.21 6
 
6.0%
ValueCountFrequency (%)
49.26 1
1.0%
16.79 1
1.0%
10.45 1
1.0%
9.43 1
1.0%
7.29 1
1.0%
6.72 1
1.0%
5.31 1
1.0%
4.07 1
1.0%
3.3 1
1.0%
2.48 2
2.0%

CHOLE_VALUE
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1464
Minimum0
Maximum109.25
Zeros91
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:43.108414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11.4415
Maximum109.25
Range109.25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.104405
Coefficient of variation (CV)4.8005355
Kurtosis36.600421
Mean3.1464
Median Absolute Deviation (MAD)0
Skewness5.9158246
Sum314.64
Variance228.14305
MonotonicityNot monotonic
2023-12-10T15:21:43.302733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 91
91.0%
36.58 2
 
2.0%
1.38 1
 
1.0%
11.27 1
 
1.0%
92.32 1
 
1.0%
3.32 1
 
1.0%
14.7 1
 
1.0%
109.25 1
 
1.0%
9.24 1
 
1.0%
ValueCountFrequency (%)
0.0 91
91.0%
1.38 1
 
1.0%
3.32 1
 
1.0%
9.24 1
 
1.0%
11.27 1
 
1.0%
14.7 1
 
1.0%
36.58 2
 
2.0%
92.32 1
 
1.0%
109.25 1
 
1.0%
ValueCountFrequency (%)
109.25 1
 
1.0%
92.32 1
 
1.0%
36.58 2
 
2.0%
14.7 1
 
1.0%
11.27 1
 
1.0%
9.24 1
 
1.0%
3.32 1
 
1.0%
1.38 1
 
1.0%
0.0 91
91.0%

TFA_VALUE
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1485
Minimum0
Maximum2.1
Zeros71
Zeros (%)71.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:43.525424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0125
95-th percentile0.7875
Maximum2.1
Range2.1
Interquartile range (IQR)0.0125

Descriptive statistics

Standard deviation0.42254968
Coefficient of variation (CV)2.8454524
Kurtosis11.98357
Mean0.1485
Median Absolute Deviation (MAD)0
Skewness3.4945545
Sum14.85
Variance0.17854823
MonotonicityNot monotonic
2023-12-10T15:21:43.755152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 71
71.0%
0.01 4
 
4.0%
0.25 3
 
3.0%
0.7 2
 
2.0%
0.02 2
 
2.0%
0.09 2
 
2.0%
2.1 1
 
1.0%
0.39 1
 
1.0%
0.28 1
 
1.0%
0.68 1
 
1.0%
Other values (12) 12
 
12.0%
ValueCountFrequency (%)
0.0 71
71.0%
0.01 4
 
4.0%
0.02 2
 
2.0%
0.04 1
 
1.0%
0.05 1
 
1.0%
0.07 1
 
1.0%
0.08 1
 
1.0%
0.09 2
 
2.0%
0.12 1
 
1.0%
0.18 1
 
1.0%
ValueCountFrequency (%)
2.1 1
1.0%
2.06 1
1.0%
1.88 1
1.0%
1.57 1
1.0%
1.5 1
1.0%
0.75 1
1.0%
0.7 2
2.0%
0.69 1
1.0%
0.68 1
1.0%
0.39 1
1.0%

SAFA_VALUE
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0785
Minimum0
Maximum1.21
Zeros72
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:44.035306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.587
Maximum1.21
Range1.21
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.22805446
Coefficient of variation (CV)2.9051524
Kurtosis13.99004
Mean0.0785
Median Absolute Deviation (MAD)0
Skewness3.7186014
Sum7.85
Variance0.052008838
MonotonicityNot monotonic
2023-12-10T15:21:44.276773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 72
72.0%
0.24 3
 
3.0%
0.07 3
 
3.0%
0.02 3
 
3.0%
0.04 2
 
2.0%
0.03 2
 
2.0%
1.21 2
 
2.0%
0.01 2
 
2.0%
0.87 2
 
2.0%
0.2 1
 
1.0%
Other values (8) 8
 
8.0%
ValueCountFrequency (%)
0.0 72
72.0%
0.01 2
 
2.0%
0.02 3
 
3.0%
0.03 2
 
2.0%
0.04 2
 
2.0%
0.06 1
 
1.0%
0.07 3
 
3.0%
0.09 1
 
1.0%
0.11 1
 
1.0%
0.19 1
 
1.0%
ValueCountFrequency (%)
1.21 2
2.0%
0.87 2
2.0%
0.72 1
 
1.0%
0.58 1
 
1.0%
0.31 1
 
1.0%
0.28 1
 
1.0%
0.24 3
3.0%
0.2 1
 
1.0%
0.19 1
 
1.0%
0.11 1
 
1.0%

MUFA_VALUE
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0566
Minimum0
Maximum1.01
Zeros78
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:44.530970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.3505
Maximum1.01
Range1.01
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.18304506
Coefficient of variation (CV)3.2340117
Kurtosis14.307229
Mean0.0566
Median Absolute Deviation (MAD)0
Skewness3.8033951
Sum5.66
Variance0.033505495
MonotonicityNot monotonic
2023-12-10T15:21:44.733883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 78
78.0%
0.01 5
 
5.0%
0.34 2
 
2.0%
0.03 2
 
2.0%
0.02 2
 
2.0%
0.19 1
 
1.0%
0.81 1
 
1.0%
0.05 1
 
1.0%
0.3 1
 
1.0%
1.01 1
 
1.0%
Other values (6) 6
 
6.0%
ValueCountFrequency (%)
0.0 78
78.0%
0.01 5
 
5.0%
0.02 2
 
2.0%
0.03 2
 
2.0%
0.05 1
 
1.0%
0.07 1
 
1.0%
0.11 1
 
1.0%
0.16 1
 
1.0%
0.19 1
 
1.0%
0.3 1
 
1.0%
ValueCountFrequency (%)
1.01 1
1.0%
0.84 1
1.0%
0.81 1
1.0%
0.74 1
1.0%
0.55 1
1.0%
0.34 2
2.0%
0.3 1
1.0%
0.19 1
1.0%
0.16 1
1.0%
0.11 1
1.0%

PUFA_VALUE
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.054
Minimum0
Maximum0.94
Zeros72
Zeros (%)72.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:44.958830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.3415
Maximum0.94
Range0.94
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.16184542
Coefficient of variation (CV)2.9971374
Kurtosis17.785239
Mean0.054
Median Absolute Deviation (MAD)0
Skewness4.1178226
Sum5.4
Variance0.026193939
MonotonicityNot monotonic
2023-12-10T15:21:45.146917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 72
72.0%
0.01 6
 
6.0%
0.12 2
 
2.0%
0.15 2
 
2.0%
0.03 2
 
2.0%
0.04 2
 
2.0%
0.3 1
 
1.0%
0.06 1
 
1.0%
0.11 1
 
1.0%
0.08 1
 
1.0%
Other values (10) 10
 
10.0%
ValueCountFrequency (%)
0.0 72
72.0%
0.01 6
 
6.0%
0.03 2
 
2.0%
0.04 2
 
2.0%
0.05 1
 
1.0%
0.06 1
 
1.0%
0.07 1
 
1.0%
0.08 1
 
1.0%
0.11 1
 
1.0%
0.12 2
 
2.0%
ValueCountFrequency (%)
0.94 1
1.0%
0.85 1
1.0%
0.78 1
1.0%
0.42 1
1.0%
0.37 1
1.0%
0.34 1
1.0%
0.3 1
1.0%
0.16 1
1.0%
0.15 2
2.0%
0.13 1
1.0%

FD_NM
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T15:21:45.622656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length9
Mean length7.41
Min length4

Characters and Unicode

Total characters741
Distinct characters53
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row밤묵밥_3
2nd row밤묵밥_4
3rd row밤묵밥_5
4th row밤묵밥_6
5th row밤묵밥_7
ValueCountFrequency (%)
밤묵밥_3 1
 
1.0%
송이버섯산적_9 1
 
1.0%
수수풀떼기_6 1
 
1.0%
수수풀떼기_5 1
 
1.0%
수수풀떼기_4 1
 
1.0%
수수풀떼기_3 1
 
1.0%
수수풀떼기_2 1
 
1.0%
수수풀떼기_1 1
 
1.0%
송이버섯산적_14 1
 
1.0%
송이버섯산적_13 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T15:21:46.382354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 100
 
13.5%
1 35
 
4.7%
28
 
3.8%
28
 
3.8%
28
 
3.8%
28
 
3.8%
28
 
3.8%
25
 
3.4%
20
 
2.7%
20
 
2.7%
Other values (43) 401
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 494
66.7%
Decimal Number 119
 
16.1%
Connector Punctuation 100
 
13.5%
Close Punctuation 14
 
1.9%
Open Punctuation 14
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
5.7%
28
 
5.7%
28
 
5.7%
28
 
5.7%
28
 
5.7%
25
 
5.1%
20
 
4.0%
20
 
4.0%
19
 
3.8%
14
 
2.8%
Other values (30) 256
51.8%
Decimal Number
ValueCountFrequency (%)
1 35
29.4%
3 15
12.6%
4 14
 
11.8%
2 14
 
11.8%
5 11
 
9.2%
6 9
 
7.6%
7 6
 
5.0%
0 5
 
4.2%
9 5
 
4.2%
8 5
 
4.2%
Connector Punctuation
ValueCountFrequency (%)
_ 100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 494
66.7%
Common 247
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
5.7%
28
 
5.7%
28
 
5.7%
28
 
5.7%
28
 
5.7%
25
 
5.1%
20
 
4.0%
20
 
4.0%
19
 
3.8%
14
 
2.8%
Other values (30) 256
51.8%
Common
ValueCountFrequency (%)
_ 100
40.5%
1 35
 
14.2%
3 15
 
6.1%
) 14
 
5.7%
4 14
 
5.7%
2 14
 
5.7%
( 14
 
5.7%
5 11
 
4.5%
6 9
 
3.6%
7 6
 
2.4%
Other values (3) 15
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 494
66.7%
ASCII 247
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 100
40.5%
1 35
 
14.2%
3 15
 
6.1%
) 14
 
5.7%
4 14
 
5.7%
2 14
 
5.7%
( 14
 
5.7%
5 11
 
4.5%
6 9
 
3.6%
7 6
 
2.4%
Other values (3) 15
 
6.1%
Hangul
ValueCountFrequency (%)
28
 
5.7%
28
 
5.7%
28
 
5.7%
28
 
5.7%
28
 
5.7%
25
 
5.1%
20
 
4.0%
20
 
4.0%
19
 
3.8%
14
 
2.8%
Other values (30) 256
51.8%

TRANSFA_VALUE
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
98 
0.01
 
1
0.03
 
1

Length

Max length4
Median length3
Mean length3.02
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 98
98.0%
0.01 1
 
1.0%
0.03 1
 
1.0%

Length

2023-12-10T15:21:46.628000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:21:46.869904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 98
98.0%
0.01 1
 
1.0%
0.03 1
 
1.0%

ILE_VALUE
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.7343
Minimum0
Maximum373.52
Zeros44
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:47.105093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.25
Q37.16
95-th percentile172.0495
Maximum373.52
Range373.52
Interquartile range (IQR)7.16

Descriptive statistics

Standard deviation62.757903
Coefficient of variation (CV)2.3474676
Kurtosis11.05961
Mean26.7343
Median Absolute Deviation (MAD)0.25
Skewness3.1266381
Sum2673.43
Variance3938.5544
MonotonicityNot monotonic
2023-12-10T15:21:47.512866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 44
44.0%
2.66 4
 
4.0%
59.57 2
 
2.0%
0.13 2
 
2.0%
0.53 2
 
2.0%
1.06 2
 
2.0%
0.2 2
 
2.0%
0.7 2
 
2.0%
1.27 2
 
2.0%
55.25 2
 
2.0%
Other values (36) 36
36.0%
ValueCountFrequency (%)
0.0 44
44.0%
0.02 1
 
1.0%
0.13 2
 
2.0%
0.15 1
 
1.0%
0.2 2
 
2.0%
0.3 1
 
1.0%
0.53 2
 
2.0%
0.7 2
 
2.0%
0.71 1
 
1.0%
0.78 1
 
1.0%
ValueCountFrequency (%)
373.52 1
1.0%
250.8 1
1.0%
200.51 1
1.0%
192.28 1
1.0%
177.93 1
1.0%
171.74 1
1.0%
156.15 1
1.0%
149.5 1
1.0%
138.6 1
1.0%
132.13 1
1.0%

LEU_VALUE
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.8056
Minimum0
Maximum638.48
Zeros44
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:47.805346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.47
Q311.9275
95-th percentile287.1735
Maximum638.48
Range638.48
Interquartile range (IQR)11.9275

Descriptive statistics

Standard deviation117.86642
Coefficient of variation (CV)2.4655359
Kurtosis10.889668
Mean47.8056
Median Absolute Deviation (MAD)0.47
Skewness3.2107981
Sum4780.56
Variance13892.493
MonotonicityNot monotonic
2023-12-10T15:21:48.082784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 44
44.0%
4.4 4
 
4.0%
95.33 2
 
2.0%
0.21 2
 
2.0%
0.88 2
 
2.0%
1.76 2
 
2.0%
0.33 2
 
2.0%
1.15 2
 
2.0%
1.9 2
 
2.0%
96.73 2
 
2.0%
Other values (36) 36
36.0%
ValueCountFrequency (%)
0.0 44
44.0%
0.05 1
 
1.0%
0.21 2
 
2.0%
0.33 2
 
2.0%
0.45 1
 
1.0%
0.49 1
 
1.0%
0.59 1
 
1.0%
0.88 2
 
2.0%
1.15 2
 
2.0%
1.27 1
 
1.0%
ValueCountFrequency (%)
638.48 1
1.0%
580.04 1
1.0%
444.3 1
1.0%
340.63 1
1.0%
333.41 1
1.0%
284.74 1
1.0%
261.74 1
1.0%
257.8 1
1.0%
251.7 1
1.0%
223.3 1
1.0%

LYS_VALUE
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.1832
Minimum0
Maximum684.48
Zeros46
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:48.374100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.17
Q310.1575
95-th percentile225.8985
Maximum684.48
Range684.48
Interquartile range (IQR)10.1575

Descriptive statistics

Standard deviation98.52101
Coefficient of variation (CV)2.8821471
Kurtosis22.644244
Mean34.1832
Median Absolute Deviation (MAD)0.17
Skewness4.4141134
Sum3418.32
Variance9706.3895
MonotonicityNot monotonic
2023-12-10T15:21:48.637977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.0 46
46.0%
1.04 4
 
4.0%
0.21 3
 
3.0%
77.46 2
 
2.0%
0.41 2
 
2.0%
0.48 2
 
2.0%
1.31 2
 
2.0%
40.12 2
 
2.0%
0.14 2
 
2.0%
0.09 2
 
2.0%
Other values (33) 33
33.0%
ValueCountFrequency (%)
0.0 46
46.0%
0.09 2
 
2.0%
0.14 2
 
2.0%
0.2 1
 
1.0%
0.21 3
 
3.0%
0.41 2
 
2.0%
0.48 2
 
2.0%
0.53 1
 
1.0%
0.95 1
 
1.0%
1.04 4
 
4.0%
ValueCountFrequency (%)
684.48 1
1.0%
451.5 1
1.0%
346.15 1
1.0%
284.25 1
1.0%
231.38 1
1.0%
225.61 1
1.0%
169.4 1
1.0%
119.1 1
1.0%
108.56 1
1.0%
94.71 1
1.0%

METHIO_VALUE
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.6106
Minimum0
Maximum244.26
Zeros44
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:48.942830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.06
Q32.26
95-th percentile74.182
Maximum244.26
Range244.26
Interquartile range (IQR)2.26

Descriptive statistics

Standard deviation35.214316
Coefficient of variation (CV)2.5872714
Kurtosis20.130276
Mean13.6106
Median Absolute Deviation (MAD)0.06
Skewness4.0219687
Sum1361.06
Variance1240.0481
MonotonicityNot monotonic
2023-12-10T15:21:49.325045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
0.0 44
44.0%
0.02 5
 
5.0%
1.88 4
 
4.0%
38.89 2
 
2.0%
0.38 2
 
2.0%
0.75 2
 
2.0%
0.08 2
 
2.0%
0.16 2
 
2.0%
30.94 2
 
2.0%
0.13 1
 
1.0%
Other values (34) 34
34.0%
ValueCountFrequency (%)
0.0 44
44.0%
0.02 5
 
5.0%
0.04 1
 
1.0%
0.08 2
 
2.0%
0.09 1
 
1.0%
0.13 1
 
1.0%
0.14 1
 
1.0%
0.15 1
 
1.0%
0.16 2
 
2.0%
0.26 1
 
1.0%
ValueCountFrequency (%)
244.26 1
1.0%
138.9 1
1.0%
116.15 1
1.0%
106.49 1
1.0%
83.72 1
1.0%
73.68 1
1.0%
69.9 1
1.0%
69.3 1
1.0%
58.8 1
1.0%
43.12 1
1.0%

PHE_VALUE
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5497
Minimum0
Maximum322.92
Zeros44
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:49.649051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.28
Q37.525
95-th percentile196.9325
Maximum322.92
Range322.92
Interquartile range (IQR)7.525

Descriptive statistics

Standard deviation65.18828
Coefficient of variation (CV)2.2833263
Kurtosis6.6369456
Mean28.5497
Median Absolute Deviation (MAD)0.28
Skewness2.6612698
Sum2854.97
Variance4249.5119
MonotonicityNot monotonic
2023-12-10T15:21:50.128881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 44
44.0%
3.24 4
 
4.0%
57.13 2
 
2.0%
0.11 2
 
2.0%
0.65 2
 
2.0%
1.3 2
 
2.0%
0.18 2
 
2.0%
0.62 2
 
2.0%
1.16 2
 
2.0%
85.34 2
 
2.0%
Other values (36) 36
36.0%
ValueCountFrequency (%)
0.0 44
44.0%
0.03 1
 
1.0%
0.11 2
 
2.0%
0.18 2
 
2.0%
0.26 1
 
1.0%
0.3 1
 
1.0%
0.33 1
 
1.0%
0.62 2
 
2.0%
0.65 2
 
2.0%
0.68 1
 
1.0%
ValueCountFrequency (%)
322.92 1
1.0%
256.2 1
1.0%
230.92 1
1.0%
223.82 1
1.0%
206.67 1
1.0%
196.42 1
1.0%
170.66 1
1.0%
158.0 1
1.0%
154.0 1
1.0%
141.83 1
1.0%

THREO_VALUE
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.7249
Minimum0
Maximum332.58
Zeros44
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:50.745967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.245
Q37.26
95-th percentile149.1085
Maximum332.58
Range332.58
Interquartile range (IQR)7.26

Descriptive statistics

Standard deviation56.84133
Coefficient of variation (CV)2.3958512
Kurtosis11.47799
Mean23.7249
Median Absolute Deviation (MAD)0.245
Skewness3.2220239
Sum2372.49
Variance3230.9368
MonotonicityNot monotonic
2023-12-10T15:21:51.202552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.0 44
44.0%
2.18 4
 
4.0%
0.87 3
 
3.0%
49.97 2
 
2.0%
0.15 2
 
2.0%
0.53 2
 
2.0%
0.96 2
 
2.0%
35.87 2
 
2.0%
0.1 2
 
2.0%
0.44 2
 
2.0%
Other values (35) 35
35.0%
ValueCountFrequency (%)
0.0 44
44.0%
0.03 1
 
1.0%
0.1 2
 
2.0%
0.15 2
 
2.0%
0.23 1
 
1.0%
0.26 1
 
1.0%
0.3 1
 
1.0%
0.44 2
 
2.0%
0.53 2
 
2.0%
0.59 1
 
1.0%
ValueCountFrequency (%)
332.58 1
1.0%
249.9 1
1.0%
191.59 1
1.0%
186.8 1
1.0%
149.27 1
1.0%
149.1 1
1.0%
146.26 1
1.0%
128.44 1
1.0%
107.8 1
1.0%
97.06 1
1.0%

TRYPTO_VALUE
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8151
Minimum0
Maximum71.76
Zeros49
Zeros (%)49.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:51.660443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.02
Q31.1275
95-th percentile32.43
Maximum71.76
Range71.76
Interquartile range (IQR)1.1275

Descriptive statistics

Standard deviation12.31188
Coefficient of variation (CV)2.5569312
Kurtosis11.99382
Mean4.8151
Median Absolute Deviation (MAD)0.02
Skewness3.3251871
Sum481.51
Variance151.58238
MonotonicityNot monotonic
2023-12-10T15:21:51.968716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0.0 49
49.0%
0.45 4
 
4.0%
0.08 3
 
3.0%
9.63 2
 
2.0%
0.03 2
 
2.0%
0.11 2
 
2.0%
16.15 2
 
2.0%
0.18 2
 
2.0%
1.04 2
 
2.0%
0.02 2
 
2.0%
Other values (29) 30
30.0%
ValueCountFrequency (%)
0.0 49
49.0%
0.02 2
 
2.0%
0.03 2
 
2.0%
0.05 1
 
1.0%
0.07 1
 
1.0%
0.08 3
 
3.0%
0.09 2
 
2.0%
0.11 2
 
2.0%
0.12 1
 
1.0%
0.14 1
 
1.0%
ValueCountFrequency (%)
71.76 1
1.0%
55.4 1
1.0%
43.7 1
1.0%
37.73 1
1.0%
33.0 1
1.0%
32.4 1
1.0%
30.25 1
1.0%
28.75 1
1.0%
24.95 1
1.0%
16.15 2
2.0%

VALINE_VALUE
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.3842
Minimum0
Maximum421.36
Zeros44
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:52.245291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.425
Q38.9975
95-th percentile201.3095
Maximum421.36
Range421.36
Interquartile range (IQR)8.9975

Descriptive statistics

Standard deviation75.801902
Coefficient of variation (CV)2.4152887
Kurtosis10.514919
Mean31.3842
Median Absolute Deviation (MAD)0.425
Skewness3.1487588
Sum3138.42
Variance5745.9284
MonotonicityNot monotonic
2023-12-10T15:21:52.600103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 44
44.0%
4.53 4
 
4.0%
72.23 2
 
2.0%
0.17 2
 
2.0%
0.91 2
 
2.0%
1.81 2
 
2.0%
0.27 2
 
2.0%
0.95 2
 
2.0%
1.29 2
 
2.0%
63.75 2
 
2.0%
Other values (36) 36
36.0%
ValueCountFrequency (%)
0.0 44
44.0%
0.05 1
 
1.0%
0.17 2
 
2.0%
0.27 2
 
2.0%
0.41 1
 
1.0%
0.44 1
 
1.0%
0.45 1
 
1.0%
0.91 2
 
2.0%
0.95 2
 
2.0%
0.98 1
 
1.0%
ValueCountFrequency (%)
421.36 1
1.0%
348.9 1
1.0%
267.49 1
1.0%
249.17 1
1.0%
215.74 1
1.0%
200.55 1
1.0%
172.5 1
1.0%
167.71 1
1.0%
153.3 1
1.0%
146.3 1
1.0%

HISTI_VALUE
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.2587
Minimum0
Maximum244.5
Zeros46
Zeros (%)46.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:52.873759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.21
Q35.36
95-th percentile109.793
Maximum244.5
Range244.5
Interquartile range (IQR)5.36

Descriptive statistics

Standard deviation44.348315
Coefficient of variation (CV)2.5696208
Kurtosis12.613676
Mean17.2587
Median Absolute Deviation (MAD)0.21
Skewness3.463025
Sum1725.87
Variance1966.773
MonotonicityNot monotonic
2023-12-10T15:21:53.108824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
0.0 46
46.0%
2.37 4
 
4.0%
0.47 4
 
4.0%
49.67 2
 
2.0%
0.17 2
 
2.0%
0.59 2
 
2.0%
35.87 2
 
2.0%
0.95 2
 
2.0%
0.11 2
 
2.0%
0.25 1
 
1.0%
Other values (33) 33
33.0%
ValueCountFrequency (%)
0.0 46
46.0%
0.11 2
 
2.0%
0.17 2
 
2.0%
0.25 1
 
1.0%
0.31 1
 
1.0%
0.38 1
 
1.0%
0.4 1
 
1.0%
0.47 4
 
4.0%
0.59 2
 
2.0%
0.65 1
 
1.0%
ValueCountFrequency (%)
244.5 1
1.0%
218.5 1
1.0%
187.45 1
1.0%
148.35 1
1.0%
111.75 1
1.0%
109.69 1
1.0%
97.06 1
1.0%
76.23 1
1.0%
57.75 1
1.0%
57.7 1
1.0%

FOOD_CTGRY_CODE
Categorical

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
G006
28 
G017
26 
G001
10 
G013
G011
Other values (9)
21 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st rowG010
2nd rowG011
3rd rowG011
4th rowG013
5th rowG006

Common Values

ValueCountFrequency (%)
G006 28
28.0%
G017 26
26.0%
G001 10
 
10.0%
G013 8
 
8.0%
G011 7
 
7.0%
G003 4
 
4.0%
G010 3
 
3.0%
G005 3
 
3.0%
G009 3
 
3.0%
G002 2
 
2.0%
Other values (4) 6
 
6.0%

Length

2023-12-10T15:21:53.343088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
g006 28
28.0%
g017 26
26.0%
g001 10
 
10.0%
g013 8
 
8.0%
g011 7
 
7.0%
g003 4
 
4.0%
g010 3
 
3.0%
g005 3
 
3.0%
g009 3
 
3.0%
g002 2
 
2.0%
Other values (4) 6
 
6.0%

ARGI_VALUE
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.1526
Minimum0
Maximum471.04
Zeros44
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:21:53.993991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.325
Q327.21
95-th percentile203.34
Maximum471.04
Range471.04
Interquartile range (IQR)27.21

Descriptive statistics

Standard deviation79.488015
Coefficient of variation (CV)2.3274367
Kurtosis12.641025
Mean34.1526
Median Absolute Deviation (MAD)0.325
Skewness3.3561127
Sum3415.26
Variance6318.3445
MonotonicityNot monotonic
2023-12-10T15:21:54.290664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 44
44.0%
30.63 4
 
4.0%
64.68 2
 
2.0%
0.15 2
 
2.0%
6.13 2
 
2.0%
12.25 2
 
2.0%
0.23 2
 
2.0%
0.81 2
 
2.0%
1.08 2
 
2.0%
53.04 2
 
2.0%
Other values (36) 36
36.0%
ValueCountFrequency (%)
0.0 44
44.0%
0.03 1
 
1.0%
0.15 2
 
2.0%
0.23 2
 
2.0%
0.3 1
 
1.0%
0.35 1
 
1.0%
0.41 1
 
1.0%
0.81 2
 
2.0%
0.9 1
 
1.0%
0.94 1
 
1.0%
ValueCountFrequency (%)
471.04 1
1.0%
375.0 1
1.0%
287.5 1
1.0%
230.69 1
1.0%
207.9 1
1.0%
203.1 1
1.0%
193.2 1
1.0%
147.36 1
1.0%
143.52 1
1.0%
143.22 1
1.0%

LAST_UPDT_DT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

TRANSMIS_DTTM
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

FOOD_CTGRY_NM
Categorical

Distinct14
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
채소류
28 
조미료류
26 
곡류및그제품
10 
유지류
어패류및기타수산물
Other values (9)
21 

Length

Max length9
Median length7
Mean length4.03
Min length2

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row난류
2nd row어패류및기타수산물
3rd row어패류및기타수산물
4th row유지류
5th row채소류

Common Values

ValueCountFrequency (%)
채소류 28
28.0%
조미료류 26
26.0%
곡류및그제품 10
 
10.0%
유지류 8
 
8.0%
어패류및기타수산물 7
 
7.0%
당류 4
 
4.0%
난류 3
 
3.0%
견과류및종실류 3
 
3.0%
육류 3
 
3.0%
감자류및전분류 2
 
2.0%
Other values (4) 6
 
6.0%

Length

2023-12-10T15:21:54.583615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
채소류 28
28.0%
조미료류 26
26.0%
곡류및그제품 10
 
10.0%
유지류 8
 
8.0%
어패류및기타수산물 7
 
7.0%
당류 4
 
4.0%
난류 3
 
3.0%
견과류및종실류 3
 
3.0%
육류 3
 
3.0%
감자류및전분류 2
 
2.0%
Other values (4) 6
 
6.0%

FOOD_NM
Categorical

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
파| 대파
소금
마늘| 구근| 생것(국내산)
간장| 개량| 양조
 
6
설탕| 백설탕
 
4
Other values (41)
65 

Length

Max length26
Median length13
Mean length7.99
Min length2

Unique

Unique28 ?
Unique (%)28.0%

Sample

1st row계란| 전란| 생것
2nd row김 (참김)| 구운것
3rd row다시마 육수
4th row식용유_1
5th row파| 대파

Common Values

ValueCountFrequency (%)
파| 대파 9
 
9.0%
소금 8
 
8.0%
마늘| 구근| 생것(국내산) 8
 
8.0%
간장| 개량| 양조 6
 
6.0%
설탕| 백설탕 4
 
4.0%
밀가공식품| 밀가루| 중력분 4
 
4.0%
식용유_1 4
 
4.0%
참기름 4
 
4.0%
깨소금 4
 
4.0%
계란| 전란| 생것 3
 
3.0%
Other values (36) 46
46.0%

Length

2023-12-10T15:21:54.793456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
생것 18
 
8.2%
9
 
4.1%
대파 9
 
4.1%
소금 8
 
3.6%
마늘 8
 
3.6%
구근 8
 
3.6%
생것(국내산 8
 
3.6%
개량 8
 
3.6%
가루 7
 
3.2%
간장 6
 
2.7%
Other values (73) 131
59.5%

Sample

FD_CODEFD_SVC_CODEFOOD_CODEFD_QY_VALUETOT_CALORIE_VALUECARBO_VALUEFAT_VALUEVFAT_VALUEAFAT_VALUEPROTN_VALUEVPRTN_VALUEAPRTN_VALUELEGALDONG_CODEFIBR_VALUEMOIST_VALUEASH_VALUEVITA_VALUERTNOL_VALUEBCRT_VALUEVITD_VALUEVITE_VALUEVITK_VALUEVITC_VALUEFD_SVC_NMVITB1_VALUEVITB2_VALUENIACN_VALUEVITB6_VALUEFOLATE_VALUEVITB12_VALUEPANTO_VALUEBIOTIN_VALUECA_VALUEVCA_VALUELEGALDONG_NMACA_VALUEPHOSPHO_VALUENA_VALUECHLOR_VALUEPOTSSM_VALUEMGM_VALUEIRON_VALUEVIRON_VALUEAIRON_VALUEZINC_VALUEFD_CTGRY_CODECOPPR_VALUEFLRN_VALUEMANG_VALUEIDN_VALUESELEN_VALUECHOLE_VALUETFA_VALUESAFA_VALUEMUFA_VALUEPUFA_VALUEFD_NMTRANSFA_VALUEILE_VALUELEU_VALUELYS_VALUEMETHIO_VALUEPHE_VALUETHREO_VALUETRYPTO_VALUEVALINE_VALUEHISTI_VALUEFOOD_CTGRY_CODEARGI_VALUELAST_UPDT_DTTRANSMIS_DTTMFOOD_CTGRY_NMFOOD_NM
0AF002010170041AF002102000300107.710.630.220.630.00.630.910.00.91CB0.05.870.0811.7811.551.390.230.050.00.0저염식0.00.020.050.019.590.10.111.933.310.0충북3.3112.4711.713.8611.010.920.110.00.110.110.010.080.01.972.4436.580.70.240.340.12밤묵밥_30.059.5795.3377.4638.8957.1349.979.6372.2349.67G01064.68<NA><NA>난류계란| 전란| 생것
1AF002010170041AF002122000301200.30.380.130.00.00.00.130.130.0CB0.110.010.036.060.036.380.00.011.170.32저염식0.00.020.010.04.80.170.00.00.770.77충북0.01.711.470.08.790.00.050.050.00.0110.00.00.010.00.020.00.00.00.00.0밤묵밥_40.00.00.00.00.00.00.00.00.00.0G0110.0<NA><NA>어패류및기타수산물김 (참김)| 구운것
2AF002010170041AF00212100050080184.61.850.550.00.00.00.180.00.0CB0.0183.490.370.00.00.00.00.00.00.0저염식0.090.170.920.00.00.00.00.03.690.0충북0.05.5457.230.0158.760.00.00.00.00.010.00.00.00.00.00.00.00.00.00.0밤묵밥_50.00.00.00.00.00.00.00.00.00.0G0110.0<NA><NA>어패류및기타수산물다시마 육수
3AF002010170041AF002140002800005.045.00.05.00.00.00.00.00.0CB0.00.00.00.00.00.00.00.00.00.0저염식0.00.00.00.00.00.00.00.00.00.0충북0.00.00.00.00.00.00.00.00.00.010.00.00.00.00.00.00.00.870.00.0밤묵밥_60.00.00.00.00.00.00.00.00.00.0G0130.0<NA><NA>유지류식용유_1
4AF002010170041AF00262019500200.50.130.030.00.00.00.010.010.0CB0.010.460.00.650.03.880.00.00.00.11저염식0.00.00.00.00.570.00.00.00.410.41충북0.00.180.010.00.930.120.010.010.00.010.00.00.00.00.00.00.00.00.00.0밤묵밥_70.00.130.210.090.020.110.10.020.170.11G0060.15<NA><NA>채소류파| 대파
5AF002010170041AF00262006200100.30.380.090.00.00.00.020.020.0CB0.020.190.00.00.00.00.00.00.00.08저염식0.00.00.00.00.260.00.00.00.030.03충북0.00.490.010.091.990.080.010.010.00.010.00.00.00.00.040.00.00.00.00.0밤묵밥_80.00.530.880.210.380.650.440.090.910.47G0066.13<NA><NA>채소류마늘| 구근| 생것(국내산)
6AF002010170041AF002142002600100.87.070.00.80.80.00.00.00.0CB0.00.00.00.00.00.00.00.340.110.0저염식0.00.00.00.00.00.00.00.00.00.0충북0.00.00.00.00.00.00.00.00.00.010.00.00.00.00.00.00.750.110.30.34밤묵밥_90.00.00.00.00.00.00.00.00.00.0G0130.0<NA><NA>유지류참기름
7AF002010170041AF002161000800100.31.780.040.170.170.00.050.050.0CB0.050.020.010.00.00.00.00.020.00.0저염식0.00.00.020.00.290.00.00.03.673.67충북0.01.920.010.01.380.00.060.060.00.0110.00.00.00.00.010.00.00.00.00.0밤묵밥_100.00.00.00.00.00.00.00.00.00.0G0170.0<NA><NA>조미료류깨소금
8AF002010170041AF002162000100204.04.120.660.00.00.00.370.00.0CB0.032.40.570.00.00.00.00.00.00.0저염식0.00.060.050.01.440.00.00.01.00.0충북0.05.8191.320.019.22.760.070.00.00.0310.00.00.040.00.00.00.00.00.00.0밤묵밥_110.016.9625.3217.442.1215.5212.81.0417.26.2G01714.44<NA><NA>조미료류간장| 개량| 양조
9AF002050140001AF002162000100201.01.030.170.00.00.00.090.00.0CB0.010.60.140.00.00.00.00.00.00.0저염식0.00.020.010.00.360.00.00.00.250.0충북0.01.4547.830.04.80.690.020.00.00.0150.00.00.010.00.00.00.00.00.00.0밤선_10.04.246.334.360.533.883.20.264.31.55G0173.61<NA><NA>조미료류간장| 개량| 양조
FD_CODEFD_SVC_CODEFOOD_CODEFD_QY_VALUETOT_CALORIE_VALUECARBO_VALUEFAT_VALUEVFAT_VALUEAFAT_VALUEPROTN_VALUEVPRTN_VALUEAPRTN_VALUELEGALDONG_CODEFIBR_VALUEMOIST_VALUEASH_VALUEVITA_VALUERTNOL_VALUEBCRT_VALUEVITD_VALUEVITE_VALUEVITK_VALUEVITC_VALUEFD_SVC_NMVITB1_VALUEVITB2_VALUENIACN_VALUEVITB6_VALUEFOLATE_VALUEVITB12_VALUEPANTO_VALUEBIOTIN_VALUECA_VALUEVCA_VALUELEGALDONG_NMACA_VALUEPHOSPHO_VALUENA_VALUECHLOR_VALUEPOTSSM_VALUEMGM_VALUEIRON_VALUEVIRON_VALUEAIRON_VALUEZINC_VALUEFD_CTGRY_CODECOPPR_VALUEFLRN_VALUEMANG_VALUEIDN_VALUESELEN_VALUECHOLE_VALUETFA_VALUESAFA_VALUEMUFA_VALUEPUFA_VALUEFD_NMTRANSFA_VALUEILE_VALUELEU_VALUELYS_VALUEMETHIO_VALUEPHE_VALUETHREO_VALUETRYPTO_VALUEVALINE_VALUEHISTI_VALUEFOOD_CTGRY_CODEARGI_VALUELAST_UPDT_DTTRANSMIS_DTTMFOOD_CTGRY_NMFOOD_NM
90AF002020110161AF00262006200100.30.380.090.00.00.00.020.020.0CB0.020.190.00.00.00.00.00.00.00.08저염식0.00.00.00.00.260.00.00.00.030.03충북0.00.490.010.091.990.080.010.010.00.020.00.00.00.00.040.00.00.00.00.0쑥칼국수_110.00.530.880.210.380.650.440.090.910.47G0066.13<NA><NA>채소류마늘| 구근| 생것(국내산)
91AF002020110161AF002161000800100.21.190.030.110.110.00.040.040.0CB0.040.010.010.00.00.00.00.010.00.0저염식0.00.00.010.00.190.00.00.02.452.45충북0.01.280.010.00.920.00.040.040.00.0120.00.00.00.00.00.00.00.00.00.0쑥칼국수_120.00.00.00.00.00.00.00.00.00.0G0170.0<NA><NA>조미료류깨소금
92AF002020110161AF002142002600100.32.650.00.30.30.00.00.00.0CB0.00.00.00.00.00.00.00.130.040.0저염식0.00.00.00.00.00.00.00.00.00.0충북0.00.00.00.00.00.00.00.00.00.020.00.00.00.00.00.00.280.040.110.13쑥칼국수_130.00.00.00.00.00.00.00.00.00.0G0130.0<NA><NA>유지류참기름
93AF002020110161AF002162000100205.45.560.890.00.00.00.490.00.0CB0.043.250.770.00.00.00.00.00.00.0저염식0.00.090.070.01.940.00.00.01.350.0충북0.07.83258.280.025.923.730.090.00.00.0420.00.00.050.00.00.00.00.00.00.0쑥칼국수_140.022.934.1823.542.8620.9517.281.423.228.37G01719.49<NA><NA>조미료류간장| 개량| 양조
94AF002110110031AF0021710022001015.415.093.340.050.050.00.690.690.0CB0.711.10.220.00.00.00.00.060.02.31저염식0.010.020.090.00.80.00.00.017.417.4충북0.014.942.770.049.90.01.281.280.00.02110.00.00.080.00.00.00.00.00.00.0인삼취나물_10.00.00.00.00.00.00.00.00.00.0G9990.0<NA><NA>기타인삼| 백삼
95AF002110110031AF002620183008015.434.968.250.350.350.03.423.420.0CB4.91.81.575.060.030.340.00.050.00.92저염식0.00.010.590.2217.510.00.00.035.5735.57충북0.026.9510.930.0232.850.01.361.360.00.05110.00.00.00.00.00.00.00.00.00.0인삼취나물_20.0200.51333.41225.6132.8206.67186.815.71249.1757.75G006230.69<NA><NA>채소류취나물 (산채)| 말린것
96AF002110110031AF00251002000600.95.010.20.410.00.00.230.00.0CB0.130.020.040.00.00.120.00.210.00.0저염식0.00.030.030.01.350.00.010.07.690.0충북0.06.320.020.04.133.180.060.00.00.05110.010.00.010.00.030.00.390.060.160.16인삼취나물_30.06.9913.935.535.159.127.253.118.875.08G00526.07<NA><NA>견과류및종실류참깨| 흰깨| 볶은것
97AF002110110031AF002162000100200.30.270.040.00.00.00.020.00.0CB0.00.160.040.00.00.00.00.00.00.0저염식0.00.00.00.00.090.00.00.00.070.0충북0.00.3812.440.01.250.180.00.00.00.0110.00.00.00.00.00.00.00.00.00.0인삼취나물_40.01.11.651.130.141.010.830.071.120.4G0170.94<NA><NA>조미료류간장| 개량| 양조
98AF002110110031AF00262019500202.80.730.180.010.010.00.040.040.0CB0.072.550.023.620.021.70.00.00.00.59저염식0.00.00.020.03.180.00.00.02.272.27충북0.00.980.030.05.210.640.030.030.00.0110.00.00.00.00.020.00.00.00.00.0인삼취나물_50.00.71.150.480.080.620.530.110.950.59G0060.81<NA><NA>채소류파| 대파
99AF002110110031AF00262006200101.51.890.450.00.00.00.080.080.0CB0.090.950.020.00.00.00.00.00.020.42저염식0.00.00.010.011.30.00.010.00.150.15충북0.02.460.050.459.960.380.030.030.00.02110.00.00.00.00.210.00.00.00.00.0인삼취나물_60.02.664.41.041.883.242.180.454.532.37G00630.63<NA><NA>채소류마늘| 구근| 생것(국내산)