Overview

Dataset statistics

Number of variables67
Number of observations100
Missing cells200
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.6 KiB
Average record size in memory600.3 B

Variable types

Numeric9
Categorical55
Text1
Unsupported2

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000023

Alerts

FD_SVC_CODE has constant value ""Constant
AFAT_VALUE has constant value ""Constant
VPRTN_VALUE has constant value ""Constant
APRTN_VALUE has constant value ""Constant
FIBR_VALUE has constant value ""Constant
MOIST_VALUE has constant value ""Constant
ASH_VALUE has constant value ""Constant
VITA_VALUE has constant value ""Constant
RTNOL_VALUE has constant value ""Constant
BCRT_VALUE has constant value ""Constant
VITD_VALUE has constant value ""Constant
VITE_VALUE has constant value ""Constant
VITK_VALUE has constant value ""Constant
VITC_VALUE has constant value ""Constant
VITB1_VALUE has constant value ""Constant
VITB2_VALUE has constant value ""Constant
NIACN_VALUE has constant value ""Constant
VITB6_VALUE has constant value ""Constant
FOLATE_VALUE has constant value ""Constant
VITB12_VALUE has constant value ""Constant
PRCSFD_CTGRY_CODE has constant value ""Constant
PANTO_VALUE has constant value ""Constant
BIOTIN_VALUE has constant value ""Constant
CA_VALUE has constant value ""Constant
VCA_VALUE has constant value ""Constant
ACA_VALUE has constant value ""Constant
PHOSPHO_VALUE has constant value ""Constant
CHLOR_VALUE has constant value ""Constant
POTSSM_VALUE has constant value ""Constant
MGM_VALUE has constant value ""Constant
IRON_VALUE has constant value ""Constant
VIRON_VALUE has constant value ""Constant
AIRON_VALUE has constant value ""Constant
ZINC_VALUE has constant value ""Constant
COPPR_VALUE has constant value ""Constant
FLRN_VALUE has constant value ""Constant
MANG_VALUE has constant value ""Constant
IDN_VALUE has constant value ""Constant
SELEN_VALUE has constant value ""Constant
TFA_VALUE has constant value ""Constant
MUFA_VALUE has constant value ""Constant
PUFA_VALUE has constant value ""Constant
ILE_VALUE has constant value ""Constant
LEU_VALUE has constant value ""Constant
LYS_VALUE has constant value ""Constant
METHIO_VALUE has constant value ""Constant
PHE_VALUE has constant value ""Constant
THREO_VALUE has constant value ""Constant
TRYPTO_VALUE has constant value ""Constant
VALINE_VALUE has constant value ""Constant
HISTI_VALUE has constant value ""Constant
ARGI_VALUE has constant value ""Constant
VFAT_VALUE has constant value ""Constant
TRANSFA_VALUE is highly imbalanced (82.3%)Imbalance
LAST_UPDT_DT has 100 (100.0%) missing valuesMissing
TRANSMIS_DTTM has 100 (100.0%) missing valuesMissing
PRCSFD_CODE 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
PROTN_VALUE has 23 (23.0%) zerosZeros
NA_VALUE has 11 (11.0%) zerosZeros
CHOLE_VALUE has 67 (67.0%) zerosZeros
SAFA_VALUE has 59 (59.0%) zerosZeros
CARBO_VALUE has 22 (22.0%) zerosZeros
FAT_VALUE has 34 (34.0%) zerosZeros

Reproduction

Analysis started2023-12-10 06:22:48.206042
Analysis finished2023-12-10 06:22:49.105482
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

PRCSFD_CODE
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9732411 × 108
Minimum2.0030018 × 108
Maximum1.6009 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:22:49.314826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030018 × 108
5-th percentile2.0030019 × 108
Q12.0050013 × 108
median1.3002001 × 109
Q31.3004002 × 109
95-th percentile1.6002001 × 109
Maximum1.6009 × 109
Range1.4005999 × 109
Interquartile range (IQR)1.0999001 × 109

Descriptive statistics

Standard deviation5.5341689 × 108
Coefficient of variation (CV)0.55490174
Kurtosis-1.3959925
Mean9.9732411 × 108
Median Absolute Deviation (MAD)1.0000004 × 108
Skewness-0.68346425
Sum9.9732411 × 1010
Variance3.0627025 × 1017
MonotonicityNot monotonic
2023-12-10T15:22:49.570849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1300200054 1
 
1.0%
200300186 1
 
1.0%
200500127 1
 
1.0%
200500126 1
 
1.0%
200300188 1
 
1.0%
200300187 1
 
1.0%
200500125 1
 
1.0%
200500124 1
 
1.0%
200500123 1
 
1.0%
200500122 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
200300182 1
1.0%
200300183 1
1.0%
200300184 1
1.0%
200300185 1
1.0%
200300186 1
1.0%
200300187 1
1.0%
200300188 1
1.0%
200500096 1
1.0%
200500097 1
1.0%
200500110 1
1.0%
ValueCountFrequency (%)
1600900044 1
1.0%
1600200129 1
1.0%
1600200128 1
1.0%
1600200127 1
1.0%
1600200126 1
1.0%
1600200075 1
1.0%
1600100111 1
1.0%
1600100110 1
1.0%
1600100109 1
1.0%
1600100061 1
1.0%

FD_SVC_CODE
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
P003
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowP003
2nd rowP003
3rd rowP003
4th rowP003
5th rowP003

Common Values

ValueCountFrequency (%)
P003 100
100.0%

Length

2023-12-10T15:22:49.850941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:50.027100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
p003 100
100.0%

AFAT_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:50.188052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:50.397482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

PROTN_VALUE
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.706
Minimum0
Maximum69
Zeros23
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:22:50.602929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.47
median2.1
Q37
95-th percentile32.05
Maximum69
Range69
Interquartile range (IQR)6.53

Descriptive statistics

Standard deviation12.117451
Coefficient of variation (CV)1.8069566
Kurtosis12.185788
Mean6.706
Median Absolute Deviation (MAD)2.1
Skewness3.3396218
Sum670.6
Variance146.83262
MonotonicityNot monotonic
2023-12-10T15:22:50.831115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.0 23
23.0%
2.0 13
 
13.0%
7.0 6
 
6.0%
3.0 6
 
6.0%
6.0 5
 
5.0%
1.0 3
 
3.0%
11.0 3
 
3.0%
6.75 3
 
3.0%
1.5 3
 
3.0%
10.0 2
 
2.0%
Other values (30) 33
33.0%
ValueCountFrequency (%)
0.0 23
23.0%
0.42 1
 
1.0%
0.44 1
 
1.0%
0.48 1
 
1.0%
0.7 1
 
1.0%
1.0 3
 
3.0%
1.34 1
 
1.0%
1.5 3
 
3.0%
1.64 1
 
1.0%
1.71 1
 
1.0%
ValueCountFrequency (%)
69.0 1
1.0%
63.0 1
1.0%
47.0 1
1.0%
41.0 1
1.0%
33.0 1
1.0%
32.0 1
1.0%
31.0 1
1.0%
29.0 1
1.0%
18.0 1
1.0%
13.0 1
1.0%

VPRTN_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:51.075501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:51.236059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

APRTN_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:51.392044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:51.543741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

FIBR_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:51.771383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:51.951227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

MOIST_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:52.133985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:52.308206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

ASH_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:52.499716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:52.664176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

VITA_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:52.838966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:53.007278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

RTNOL_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:53.168786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:53.330781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

BCRT_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:53.505134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:53.643544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

PRCSFD_NM
Text

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T15:22:54.020063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length14
Mean length8.38
Min length2

Characters and Unicode

Total characters838
Distinct characters204
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)85.0%

Sample

1st row요플레 키즈 포도
2nd row요플레 포미 복숭아
3rd row요플레 포미 블루베리
4th row요플레 플레인
5th row요플레 플레인
ValueCountFrequency (%)
쥬시쿨 10
 
4.6%
투게더 9
 
4.2%
요플레 8
 
3.7%
참맛 4
 
1.9%
순쌀과자 4
 
1.9%
플레인 4
 
1.9%
클래식 4
 
1.9%
오리지날 3
 
1.4%
블루베리 3
 
1.4%
에스프레소 3
 
1.4%
Other values (120) 164
75.9%
2023-12-10T15:22:54.694176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
14.0%
스 23
 
2.7%
리 21
 
2.5%
레 18
 
2.1%
자 15
 
1.8%
플 15
 
1.8%
이 14
 
1.7%
요 13
 
1.6%
참 13
 
1.6%
0 12
 
1.4%
Other values (194) 577
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 682
81.4%
Space Separator 117
 
14.0%
Decimal Number 22
 
2.6%
Other Punctuation 7
 
0.8%
Uppercase Letter 4
 
0.5%
Math Symbol 3
 
0.4%
Connector Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 23
 
3.4%
리 21
 
3.1%
레 18
 
2.6%
자 15
 
2.2%
플 15
 
2.2%
이 14
 
2.1%
요 13
 
1.9%
참 13
 
1.9%
쥬 11
 
1.6%
시 11
 
1.6%
Other values (178) 528
77.4%
Decimal Number
ValueCountFrequency (%)
0 12
54.5%
1 5
22.7%
2 2
 
9.1%
5 2
 
9.1%
8 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
& 4
57.1%
. 2
28.6%
% 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
N 2
50.0%
S 1
25.0%
P 1
25.0%
Math Symbol
ValueCountFrequency (%)
| 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
117
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 682
81.4%
Common 152
 
18.1%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 23
 
3.4%
리 21
 
3.1%
레 18
 
2.6%
자 15
 
2.2%
플 15
 
2.2%
이 14
 
2.1%
요 13
 
1.9%
참 13
 
1.9%
쥬 11
 
1.6%
시 11
 
1.6%
Other values (178) 528
77.4%
Common
ValueCountFrequency (%)
117
77.0%
0 12
 
7.9%
1 5
 
3.3%
& 4
 
2.6%
_ 2
 
1.3%
. 2
 
1.3%
| 2
 
1.3%
2 2
 
1.3%
5 2
 
1.3%
- 1
 
0.7%
Other values (3) 3
 
2.0%
Latin
ValueCountFrequency (%)
N 2
50.0%
S 1
25.0%
P 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 682
81.4%
ASCII 156
 
18.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
75.0%
0 12
 
7.7%
1 5
 
3.2%
& 4
 
2.6%
_ 2
 
1.3%
. 2
 
1.3%
| 2
 
1.3%
N 2
 
1.3%
2 2
 
1.3%
5 2
 
1.3%
Other values (6) 6
 
3.8%
Hangul
ValueCountFrequency (%)
스 23
 
3.4%
리 21
 
3.1%
레 18
 
2.6%
자 15
 
2.2%
플 15
 
2.2%
이 14
 
2.1%
요 13
 
1.9%
참 13
 
1.9%
쥬 11
 
1.6%
시 11
 
1.6%
Other values (178) 528
77.4%

VITD_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:54.955761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:55.102738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

VITE_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:55.331705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:55.550574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

VITK_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:55.782444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:56.073382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

VITC_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:56.243189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:56.459270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

VITB1_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:56.630478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:56.799652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

VITB2_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:57.023779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:57.220143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

NIACN_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:57.468264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:57.667268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

VITB6_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:57.863044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:58.065498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

FOLATE_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:58.248065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:58.411305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

VITB12_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:58.558152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:58.715877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

PRCSFD_CTGRY_CODE
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
AF001
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAF001
2nd rowAF001
3rd rowAF001
4th rowAF001
5th rowAF001

Common Values

ValueCountFrequency (%)
AF001 100
100.0%

Length

2023-12-10T15:22:58.881329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:59.052710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
af001 100
100.0%

PANTO_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:59.208660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:59.361781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

BIOTIN_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:59.545874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:22:59.714772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

CA_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:22:59.881355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:00.038971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

VCA_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:00.230554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:00.801250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

ACA_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:01.023468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:01.217383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

PHOSPHO_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:01.385360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:01.544383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

NA_VALUE
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.1481
Minimum0
Maximum700
Zeros11
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:23:01.749828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133.75
median51.65
Q392.5
95-th percentile260.817
Maximum700
Range700
Interquartile range (IQR)58.75

Descriptive statistics

Standard deviation100.02111
Coefficient of variation (CV)1.2029272
Kurtosis15.305772
Mean83.1481
Median Absolute Deviation (MAD)28.35
Skewness3.3027645
Sum8314.81
Variance10004.222
MonotonicityNot monotonic
2023-12-10T15:23:02.034978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
11.0%
50.0 10
 
10.0%
45.0 4
 
4.0%
80.0 4
 
4.0%
60.0 4
 
4.0%
65.0 3
 
3.0%
35.0 3
 
3.0%
33.75 3
 
3.0%
20.0 2
 
2.0%
200.0 2
 
2.0%
Other values (50) 54
54.0%
ValueCountFrequency (%)
0.0 11
11.0%
3.0 1
 
1.0%
5.0 1
 
1.0%
7.0 1
 
1.0%
12.0 1
 
1.0%
16.0 1
 
1.0%
20.0 2
 
2.0%
21.0 1
 
1.0%
21.33 1
 
1.0%
22.5 1
 
1.0%
ValueCountFrequency (%)
700.0 1
1.0%
420.0 1
1.0%
365.0 1
1.0%
320.0 1
1.0%
273.68 1
1.0%
260.14 1
1.0%
220.0 2
2.0%
200.0 2
2.0%
170.0 1
1.0%
169.1 1
1.0%

CHLOR_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:02.258287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:02.416013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

POTSSM_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:02.576653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:02.734399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

MGM_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:02.898595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:03.053706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

ENTRPS_NM
Categorical

Distinct8
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
빙그레
49 
(주) 청우식품
29 
(주) 선인
7 
(주)서울에프엔비
7 
(주) 세림현미
 
3
Other values (3)
5 

Length

Max length10
Median length9
Mean length5.49
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
빙그레 49
49.0%
(주) 청우식품 29
29.0%
(주) 선인 7
 
7.0%
(주)서울에프엔비 7
 
7.0%
(주) 세림현미 3
 
3.0%
(주)서울제과 3
 
3.0%
(주) 썬레이크푸드 1
 
1.0%
(주)서울푸드시스템 1
 
1.0%

Length

2023-12-10T15:23:03.246082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:03.436369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
빙그레 49
35.0%
주 40
28.6%
청우식품 29
20.7%
선인 7
 
5.0%
주)서울에프엔비 7
 
5.0%
세림현미 3
 
2.1%
주)서울제과 3
 
2.1%
썬레이크푸드 1
 
0.7%
주)서울푸드시스템 1
 
0.7%

IRON_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:03.658677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:03.797790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

VIRON_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:03.935212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:04.072570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

AIRON_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:04.225608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:04.390603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

ZINC_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:04.548243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:04.700040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

COPPR_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:04.865380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:05.028776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

FLRN_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:05.198264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:05.364988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

MANG_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:05.567561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:05.725408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

IDN_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:05.899629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:06.092744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

SELEN_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:06.278669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:06.441668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

CHOLE_VALUE
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9787
Minimum0
Maximum72
Zeros67
Zeros (%)67.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:23:06.602398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile30
Maximum72
Range72
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.593479
Coefficient of variation (CV)1.9391304
Kurtosis11.245147
Mean5.9787
Median Absolute Deviation (MAD)0
Skewness2.9229373
Sum597.87
Variance134.40876
MonotonicityNot monotonic
2023-12-10T15:23:06.808430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 67
67.0%
15.0 7
 
7.0%
10.0 5
 
5.0%
20.0 4
 
4.0%
30.0 4
 
4.0%
72.0 1
 
1.0%
13.0 1
 
1.0%
45.0 1
 
1.0%
5.0 1
 
1.0%
4.0 1
 
1.0%
Other values (8) 8
 
8.0%
ValueCountFrequency (%)
0.0 67
67.0%
3.0 1
 
1.0%
4.0 1
 
1.0%
5.0 1
 
1.0%
8.0 1
 
1.0%
8.06 1
 
1.0%
10.0 5
 
5.0%
10.53 1
 
1.0%
11.0 1
 
1.0%
11.76 1
 
1.0%
ValueCountFrequency (%)
72.0 1
 
1.0%
45.0 1
 
1.0%
39.02 1
 
1.0%
30.0 4
4.0%
20.0 4
4.0%
15.0 7
7.0%
13.0 1
 
1.0%
12.5 1
 
1.0%
11.76 1
 
1.0%
11.0 1
 
1.0%

QNT_VALUE
Real number (ℝ)

Distinct24
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.645
Minimum10
Maximum340
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:23:07.018627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile26
Q139.75
median100
Q3112.5
95-th percentile221.5
Maximum340
Range330
Interquartile range (IQR)72.75

Descriptive statistics

Standard deviation68.638833
Coefficient of variation (CV)0.64361979
Kurtosis1.1705017
Mean106.645
Median Absolute Deviation (MAD)35
Skewness1.0508837
Sum10664.5
Variance4711.2894
MonotonicityNot monotonic
2023-12-10T15:23:07.222409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
100.0 41
41.0%
30.0 13
 
13.0%
200.0 9
 
9.0%
150.0 5
 
5.0%
26.0 3
 
3.0%
85.0 3
 
3.0%
220.0 3
 
3.0%
110.0 3
 
3.0%
250.0 2
 
2.0%
300.0 2
 
2.0%
Other values (14) 16
 
16.0%
ValueCountFrequency (%)
10.0 1
 
1.0%
21.5 1
 
1.0%
23.0 1
 
1.0%
25.0 1
 
1.0%
26.0 3
 
3.0%
28.0 2
 
2.0%
30.0 13
13.0%
34.0 1
 
1.0%
38.0 1
 
1.0%
39.0 1
 
1.0%
ValueCountFrequency (%)
340.0 1
 
1.0%
300.0 2
 
2.0%
250.0 2
 
2.0%
220.0 3
 
3.0%
200.0 9
9.0%
180.0 1
 
1.0%
150.0 5
5.0%
120.0 2
 
2.0%
110.0 3
 
3.0%
105.0 1
 
1.0%

TFA_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:07.428614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:07.582814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

SAFA_VALUE
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1843
Minimum0
Maximum22
Zeros59
Zeros (%)59.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:23:07.745173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.275
95-th percentile7.5015
Maximum22
Range22
Interquartile range (IQR)3.275

Descriptive statistics

Standard deviation4.059392
Coefficient of variation (CV)1.8584407
Kurtosis9.3565527
Mean2.1843
Median Absolute Deviation (MAD)0
Skewness2.8513211
Sum218.43
Variance16.478663
MonotonicityNot monotonic
2023-12-10T15:23:07.994767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 59
59.0%
5.0 5
 
5.0%
6.0 4
 
4.0%
4.0 4
 
4.0%
2.0 3
 
3.0%
3.5 2
 
2.0%
1.8 2
 
2.0%
18.0 2
 
2.0%
7.28 1
 
1.0%
15.0 1
 
1.0%
Other values (17) 17
 
17.0%
ValueCountFrequency (%)
0.0 59
59.0%
0.18 1
 
1.0%
0.36 1
 
1.0%
1.03 1
 
1.0%
1.4 1
 
1.0%
1.56 1
 
1.0%
1.8 2
 
2.0%
2.0 3
 
3.0%
2.1 1
 
1.0%
2.35 1
 
1.0%
ValueCountFrequency (%)
22.0 1
 
1.0%
18.0 2
2.0%
15.0 1
 
1.0%
10.0 1
 
1.0%
7.37 1
 
1.0%
7.28 1
 
1.0%
7.0 1
 
1.0%
6.5 1
 
1.0%
6.0 4
4.0%
5.4 1
 
1.0%

MUFA_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:08.230350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:08.403825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

PUFA_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:08.574098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:08.843616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

TRANSFA_VALUE
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.0
95 
0.3
 
3
0.23
 
1
0.5
 
1

Length

Max length4
Median length3
Mean length3.01
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 95
95.0%
0.3 3
 
3.0%
0.23 1
 
1.0%
0.5 1
 
1.0%

Length

2023-12-10T15:23:09.037199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:09.199493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 95
95.0%
0.3 3
 
3.0%
0.23 1
 
1.0%
0.5 1
 
1.0%

ILE_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:09.366310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:09.505306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

LEU_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:09.661935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:09.831839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

LYS_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:09.998333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:10.137286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

METHIO_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:10.293677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:10.434369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

PHE_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:10.584223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:10.735075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

TOT_CALORIE_VALUE
Real number (ℝ)

Distinct70
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.641
Minimum6
Maximum900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:23:10.894267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile36
Q178.375
median125
Q3208.75
95-th percentile490.15
Maximum900
Range894
Interquartile range (IQR)130.375

Descriptive statistics

Standard deviation174.01802
Coefficient of variation (CV)0.99075968
Kurtosis7.5181704
Mean175.641
Median Absolute Deviation (MAD)61.5
Skewness2.5287966
Sum17564.1
Variance30282.271
MonotonicityNot monotonic
2023-12-10T15:23:11.132259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.0 8
 
8.0%
100.0 6
 
6.0%
130.0 4
 
4.0%
43.12 3
 
3.0%
236.25 3
 
3.0%
120.0 3
 
3.0%
145.0 2
 
2.0%
220.0 2
 
2.0%
66.0 2
 
2.0%
133.33 2
 
2.0%
Other values (60) 65
65.0%
ValueCountFrequency (%)
6.0 1
 
1.0%
15.0 1
 
1.0%
36.0 8
8.0%
36.11 1
 
1.0%
40.91 1
 
1.0%
42.0 1
 
1.0%
42.95 1
 
1.0%
43.12 3
 
3.0%
44.25 1
 
1.0%
45.0 2
 
2.0%
ValueCountFrequency (%)
900.0 1
1.0%
899.0 2
2.0%
613.0 1
1.0%
493.0 1
1.0%
490.0 1
1.0%
444.0 1
1.0%
429.0 1
1.0%
405.0 1
1.0%
390.0 1
1.0%
352.0 1
1.0%

THREO_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:11.346277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:11.530665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

TRYPTO_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:11.754580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:11.946613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

VALINE_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:12.105461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:12.261349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

HISTI_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:12.431139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:12.962519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

ARGI_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:13.124768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:13.275861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

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

CARBO_VALUE
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.536
Minimum0
Maximum77
Zeros22
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:23:13.461998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.38
median8.445
Q318
95-th percentile44.0295
Maximum77
Range77
Interquartile range (IQR)17.62

Descriptive statistics

Standard deviation15.164215
Coefficient of variation (CV)1.2096534
Kurtosis3.0083654
Mean12.536
Median Absolute Deviation (MAD)8.445
Skewness1.6217954
Sum1253.6
Variance229.95342
MonotonicityNot monotonic
2023-12-10T15:23:13.722381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0.0 22
22.0%
9.0 7
 
7.0%
3.0 6
 
6.0%
16.0 4
 
4.0%
38.25 3
 
3.0%
15.0 3
 
3.0%
0.38 3
 
3.0%
1.0 3
 
3.0%
17.0 3
 
3.0%
21.0 2
 
2.0%
Other values (38) 44
44.0%
ValueCountFrequency (%)
0.0 22
22.0%
0.3 1
 
1.0%
0.38 3
 
3.0%
0.41 2
 
2.0%
0.43 1
 
1.0%
0.75 1
 
1.0%
0.8 1
 
1.0%
1.0 3
 
3.0%
1.4 1
 
1.0%
2.0 2
 
2.0%
ValueCountFrequency (%)
77.0 1
 
1.0%
59.83 1
 
1.0%
46.0 1
 
1.0%
44.22 1
 
1.0%
44.21 1
 
1.0%
44.02 1
 
1.0%
38.25 3
3.0%
36.0 2
2.0%
34.0 1
 
1.0%
32.38 2
2.0%

FAT_VALUE
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9028
Minimum0
Maximum89
Zeros34
Zeros (%)34.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:23:13.978433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4.65
Q38.1
95-th percentile49.8
Maximum89
Range89
Interquartile range (IQR)8.1

Descriptive statistics

Standard deviation18.276112
Coefficient of variation (CV)1.8455499
Kurtosis9.0594823
Mean9.9028
Median Absolute Deviation (MAD)4.65
Skewness3.013196
Sum990.28
Variance334.01627
MonotonicityNot monotonic
2023-12-10T15:23:14.229116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0.0 34
34.0%
6.0 5
 
5.0%
8.0 3
 
3.0%
5.0 3
 
3.0%
5.62 3
 
3.0%
6.75 3
 
3.0%
9.0 3
 
3.0%
23.0 2
 
2.0%
1.0 2
 
2.0%
10.0 2
 
2.0%
Other values (36) 40
40.0%
ValueCountFrequency (%)
0.0 34
34.0%
0.36 1
 
1.0%
1.0 2
 
2.0%
2.4 1
 
1.0%
2.5 1
 
1.0%
2.57 1
 
1.0%
2.6 1
 
1.0%
2.7 1
 
1.0%
2.82 1
 
1.0%
3.0 1
 
1.0%
ValueCountFrequency (%)
89.0 1
1.0%
88.0 1
1.0%
77.0 1
1.0%
73.0 1
1.0%
65.0 1
1.0%
49.0 1
1.0%
43.0 1
1.0%
33.0 1
1.0%
32.0 1
1.0%
28.0 1
1.0%

VFAT_VALUE
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T15:23:14.443806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:23:14.611192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

Sample

PRCSFD_CODEFD_SVC_CODEAFAT_VALUEPROTN_VALUEVPRTN_VALUEAPRTN_VALUEFIBR_VALUEMOIST_VALUEASH_VALUEVITA_VALUERTNOL_VALUEBCRT_VALUEPRCSFD_NMVITD_VALUEVITE_VALUEVITK_VALUEVITC_VALUEVITB1_VALUEVITB2_VALUENIACN_VALUEVITB6_VALUEFOLATE_VALUEVITB12_VALUEPRCSFD_CTGRY_CODEPANTO_VALUEBIOTIN_VALUECA_VALUEVCA_VALUEACA_VALUEPHOSPHO_VALUENA_VALUECHLOR_VALUEPOTSSM_VALUEMGM_VALUEENTRPS_NMIRON_VALUEVIRON_VALUEAIRON_VALUEZINC_VALUECOPPR_VALUEFLRN_VALUEMANG_VALUEIDN_VALUESELEN_VALUECHOLE_VALUEQNT_VALUETFA_VALUESAFA_VALUEMUFA_VALUEPUFA_VALUETRANSFA_VALUEILE_VALUELEU_VALUELYS_VALUEMETHIO_VALUEPHE_VALUETOT_CALORIE_VALUETHREO_VALUETRYPTO_VALUEVALINE_VALUEHISTI_VALUEARGI_VALUELAST_UPDT_DTTRANSMIS_DTTMCARBO_VALUEFAT_VALUEVFAT_VALUE
01300200054P00303.7500000000요플레 키즈 포도0000000000AF00100000062.5000빙그레00000000012.5100.002.0000.000000106.2500000<NA><NA>16.253.00
11300200055P00302.800000000요플레 포미 복숭아0000000000AF00100000050.0000빙그레00000000015.0110.001.8000.000000100.000000<NA><NA>15.03.20
21300200056P00302.800000000요플레 포미 블루베리0000000000AF00100000050.0000빙그레00000000015.0110.001.8000.000000100.000000<NA><NA>15.03.20
31300200057P00300.000000000요플레 플레인0000000000AF0010000000.0000빙그레0000000000.085.000.0000.00000090.000000<NA><NA>0.00.00
41300200058P00303.5200000000요플레 플레인0000000000AF00100000058.82000빙그레00000000011.76100.002.35000.000000100.000000<NA><NA>14.72.820
51300200059P00303.000000000요플레 플레인0000000000AF00100000050.0000빙그레00000000010.085.002.0000.00000085.000000<NA><NA>12.52.40
61300200060P00303.000000000요플레 플레인 화이트0000000000AF00100000045.0000빙그레00000000015.0100.002.5000.00000067.500000<NA><NA>6.03.50
71300200061P00304.000000000요플레 화이트클래식0000000000AF001000000100.0000빙그레0000000000.0100.000.0000.00000095.000000<NA><NA>14.02.50
81300200062P00306.7500000000요피딸기0000000000AF001000000123.75000빙그레0000000000.0150.000.0000.000000236.2500000<NA><NA>38.255.620
91300200063P00306.7500000000욥닥터캡슐0000000000AF001000000146.25000빙그레0000000000.0150.000.0000.000000236.2500000<NA><NA>38.255.620
PRCSFD_CODEFD_SVC_CODEAFAT_VALUEPROTN_VALUEVPRTN_VALUEAPRTN_VALUEFIBR_VALUEMOIST_VALUEASH_VALUEVITA_VALUERTNOL_VALUEBCRT_VALUEPRCSFD_NMVITD_VALUEVITE_VALUEVITK_VALUEVITC_VALUEVITB1_VALUEVITB2_VALUENIACN_VALUEVITB6_VALUEFOLATE_VALUEVITB12_VALUEPRCSFD_CTGRY_CODEPANTO_VALUEBIOTIN_VALUECA_VALUEVCA_VALUEACA_VALUEPHOSPHO_VALUENA_VALUECHLOR_VALUEPOTSSM_VALUEMGM_VALUEENTRPS_NMIRON_VALUEVIRON_VALUEAIRON_VALUEZINC_VALUECOPPR_VALUEFLRN_VALUEMANG_VALUEIDN_VALUESELEN_VALUECHOLE_VALUEQNT_VALUETFA_VALUESAFA_VALUEMUFA_VALUEPUFA_VALUETRANSFA_VALUEILE_VALUELEU_VALUELYS_VALUEMETHIO_VALUEPHE_VALUETOT_CALORIE_VALUETHREO_VALUETRYPTO_VALUEVALINE_VALUEHISTI_VALUEARGI_VALUELAST_UPDT_DTTRANSMIS_DTTMCARBO_VALUEFAT_VALUEVFAT_VALUE
90300100109P00300.000000000PS-1 피자도우0000000000AF00100000078.5000(주)서울푸드시스템0000000000.0100.000.18000.000000328.000000<NA><NA>0.00.00
911300400189P00302.000000000투게더 밀크&초콜릿 클래식0000000000AF00100000060.0000빙그레00000000030.0100.004.0000.300000125.000000<NA><NA>16.06.00
921300400190P00302.000000000투게더 베리베리&굿0000000000AF00100000060.0000빙그레00000000015.0100.005.0000.000000130.000000<NA><NA>17.06.00
931300400191P00302.000000000투게더 베리베리&굿 클래식0000000000AF00100000060.0000빙그레00000000015.0100.005.0000.000000130.000000<NA><NA>17.06.00
941300400192P00301.500000000투게더 스트로베리 밀크0000000000AF00100000044.0000빙그레00000000010.0100.003.5000.300000105.000000<NA><NA>14.05.00
951300400193P00302.000000000투게더 시그니처 더블샷 바닐라0000000000AF00100000065.0000빙그레00000000045.0110.006.0000.500000165.000000<NA><NA>17.010.00
961300400194P00302.000000000투게더 오리지널 바닐라0000000000AF00100000045.0000빙그레00000000020.0100.003.5000.000000100.000000<NA><NA>11.05.00
971300400195P00302.000000000투게더 초콜릿 밀크0000000000AF00100000044.0000빙그레00000000013.0100.004.0000.300000120.000000<NA><NA>15.06.00
981300400196P00302.000000000투게더 카카오무스 클래식0000000000AF00100000065.0000빙그레00000000010.0100.003.0000.000000115.000000<NA><NA>16.05.00
991300400197P00302.000000000투게더 쿠앤크0000000000AF00100000080.0000빙그레00000000020.0100.006.0000.000000120.000000<NA><NA>16.09.00