Overview

Dataset statistics

Number of variables96
Number of observations100
Missing cells6586
Missing cells (%)68.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory84.2 KiB
Average record size in memory862.3 B

Variable types

Numeric9
Categorical22
Unsupported64
Text1

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000019

Alerts

ALLRGY_SHRMP_AT is highly imbalanced (80.6%)Imbalance
ALLRGY_H2SO3_AT is highly imbalanced (53.1%)Imbalance
ALLRGY_CHCKN_AT is highly imbalanced (85.9%)Imbalance
ALLRGY_SQUID_AT is highly imbalanced (80.6%)Imbalance
ALLRGY_OYSTR_AT is highly imbalanced (71.4%)Imbalance
VGTD_SFD_AT is highly imbalanced (59.8%)Imbalance
VGTD_WHITE_MEAT_AT is highly imbalanced (85.9%)Imbalance
ALLRGY_MCKRL_AT has 100 (100.0%) missing valuesMissing
ALLRGY_CRAB_AT has 100 (100.0%) missing valuesMissing
ALLRGY_PEACH_AT has 100 (100.0%) missing valuesMissing
ALLRGY_WALNUT_AT has 100 (100.0%) missing valuesMissing
ALLRGY_ABLN_AT has 100 (100.0%) missing valuesMissing
ALLRGY_MSL_AT has 100 (100.0%) missing valuesMissing
ALLRGY_PNNT_AT has 100 (100.0%) missing valuesMissing
ALLRGY_CLAM_AT has 100 (100.0%) missing valuesMissing
VGTD_VGTBL_AT has 100 (100.0%) missing valuesMissing
CARBO_VALUE has 43 (43.0%) missing valuesMissing
NTRFS_VALUE has 43 (43.0%) missing valuesMissing
VFAT_VALUE has 100 (100.0%) missing valuesMissing
AFAT_VALUE has 100 (100.0%) missing valuesMissing
VPRTN_VALUE has 100 (100.0%) missing valuesMissing
APROTN_VALUE has 100 (100.0%) missing valuesMissing
FIBR_VALUE has 43 (43.0%) missing valuesMissing
MOIST_VALUE has 100 (100.0%) missing valuesMissing
ASH_VALUE has 100 (100.0%) missing valuesMissing
VITA_VALUE has 100 (100.0%) missing valuesMissing
RTNOL_VALUE has 100 (100.0%) missing valuesMissing
BCRT_VALUE has 100 (100.0%) missing valuesMissing
VITD_VALUE has 100 (100.0%) missing valuesMissing
VITE_VALUE has 100 (100.0%) missing valuesMissing
VITK_VALUE has 100 (100.0%) missing valuesMissing
VITC_VALUE has 100 (100.0%) missing valuesMissing
VITB1_VALUE has 100 (100.0%) missing valuesMissing
VITB2_VALUE has 100 (100.0%) missing valuesMissing
NIACN_VALUE has 100 (100.0%) missing valuesMissing
VITB6_VALUE has 100 (100.0%) missing valuesMissing
FOLATE_VALUE has 100 (100.0%) missing valuesMissing
VITB12_VALUE has 100 (100.0%) missing valuesMissing
PANTO_VALUE has 100 (100.0%) missing valuesMissing
BIOTIN_VALUE has 100 (100.0%) missing valuesMissing
CA_VALUE has 100 (100.0%) missing valuesMissing
VCA_VALUE has 100 (100.0%) missing valuesMissing
ACA_VALUE has 100 (100.0%) missing valuesMissing
PHOSPHO_VALUE has 100 (100.0%) missing valuesMissing
CHLOR_VALUE has 100 (100.0%) missing valuesMissing
POTSSM_VALUE has 100 (100.0%) missing valuesMissing
MGM_VALUE has 100 (100.0%) missing valuesMissing
ALLRGY_BCKWH_AT has 100 (100.0%) missing valuesMissing
IRON_VALUE has 100 (100.0%) missing valuesMissing
VIRON_VALUE has 100 (100.0%) missing valuesMissing
AIRON_VALUE has 100 (100.0%) missing valuesMissing
ZINC_VALUE has 100 (100.0%) missing valuesMissing
COPPR_VALUE has 100 (100.0%) missing valuesMissing
FLRN_VALUE has 100 (100.0%) missing valuesMissing
MANG_VALUE has 100 (100.0%) missing valuesMissing
IDN_VALUE has 100 (100.0%) missing valuesMissing
SELEN_VALUE has 100 (100.0%) missing valuesMissing
CHOLE_VALUE has 100 (100.0%) missing valuesMissing
ALLRGY_PEANUT_AT has 100 (100.0%) missing valuesMissing
SAFA_VALUE has 57 (57.0%) missing valuesMissing
MUFA_VALUE has 100 (100.0%) missing valuesMissing
PUFA_VALUE has 100 (100.0%) missing valuesMissing
TFAT_VALUE has 100 (100.0%) missing valuesMissing
ILE_VALUE has 100 (100.0%) missing valuesMissing
LEU_VALUE has 100 (100.0%) missing valuesMissing
LYS_VALUE has 100 (100.0%) missing valuesMissing
METHIO_VALUE has 100 (100.0%) missing valuesMissing
PHE_VALUE has 100 (100.0%) missing valuesMissing
THREO_VALUE has 100 (100.0%) missing valuesMissing
TRYPTO_VALUE has 100 (100.0%) missing valuesMissing
VALINE_VALUE has 100 (100.0%) missing valuesMissing
HISTI_VALUE has 100 (100.0%) missing valuesMissing
ARGI_VALUE has 100 (100.0%) missing valuesMissing
LAST_UPDT_DT has 100 (100.0%) missing valuesMissing
TRANSMIS_DTTM has 100 (100.0%) missing valuesMissing
FD_CODE has unique valuesUnique
FD_NM has unique valuesUnique
ALLRGY_MCKRL_AT is an unsupported type, check if it needs cleaning or further analysisUnsupported
ALLRGY_CRAB_AT is an unsupported type, check if it needs cleaning or further analysisUnsupported
ALLRGY_PEACH_AT is an unsupported type, check if it needs cleaning or further analysisUnsupported
ALLRGY_WALNUT_AT is an unsupported type, check if it needs cleaning or further analysisUnsupported
ALLRGY_ABLN_AT is an unsupported type, check if it needs cleaning or further analysisUnsupported
ALLRGY_MSL_AT is an unsupported type, check if it needs cleaning or further analysisUnsupported
ALLRGY_PNNT_AT is an unsupported type, check if it needs cleaning or further analysisUnsupported
ALLRGY_CLAM_AT is an unsupported type, check if it needs cleaning or further analysisUnsupported
VGTD_VGTBL_AT is an unsupported type, check if it needs cleaning or further analysisUnsupported
VFAT_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
AFAT_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
VPRTN_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
APROTN_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
MOIST_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
ASH_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
VITA_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
RTNOL_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
BCRT_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
VITD_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
VITE_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
VITK_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
VITC_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
VITB1_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
VITB2_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
NIACN_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
VITB6_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
FOLATE_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
VITB12_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
PANTO_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
BIOTIN_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
CA_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
VCA_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
ACA_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
PHOSPHO_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
CHLOR_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
POTSSM_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
MGM_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
ALLRGY_BCKWH_AT is an unsupported type, check if it needs cleaning or further analysisUnsupported
IRON_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
VIRON_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
AIRON_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
ZINC_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
COPPR_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
FLRN_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
MANG_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
IDN_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
SELEN_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
CHOLE_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
ALLRGY_PEANUT_AT is an unsupported type, check if it needs cleaning or further analysisUnsupported
MUFA_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
PUFA_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
TFAT_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
ILE_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
LEU_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
LYS_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
METHIO_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
PHE_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
THREO_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
TRYPTO_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
VALINE_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
HISTI_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
ARGI_VALUE is an unsupported type, check if it needs cleaning or further analysisUnsupported
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

Reproduction

Analysis started2023-12-10 06:19:47.770538
Analysis finished2023-12-10 06:19:48.653477
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

FD_CODE
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0015203 × 108
Minimum2.001502 × 108
Maximum2.0015339 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:19:48.770898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.001502 × 108
5-th percentile2.0015021 × 108
Q12.0015028 × 108
median2.0015334 × 108
Q32.0015337 × 108
95-th percentile2.0015339 × 108
Maximum2.0015339 × 108
Range3194
Interquartile range (IQR)3084.5

Descriptive statistics

Standard deviation1541.1323
Coefficient of variation (CV)7.6998085 × 10-6
Kurtosis-1.9557252
Mean2.0015203 × 108
Median Absolute Deviation (MAD)43
Skewness-0.28752654
Sum2.0015203 × 1010
Variance2375088.9
MonotonicityNot monotonic
2023-12-10T15:19:49.021972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200153338 1
 
1.0%
200150248 1
 
1.0%
200150263 1
 
1.0%
200150262 1
 
1.0%
200150261 1
 
1.0%
200150260 1
 
1.0%
200150257 1
 
1.0%
200150256 1
 
1.0%
200150254 1
 
1.0%
200150251 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
200150200 1
1.0%
200150201 1
1.0%
200150208 1
1.0%
200150209 1
1.0%
200150210 1
1.0%
200150211 1
1.0%
200150214 1
1.0%
200150248 1
1.0%
200150249 1
1.0%
200150250 1
1.0%
ValueCountFrequency (%)
200153394 1
1.0%
200153393 1
1.0%
200153392 1
1.0%
200153391 1
1.0%
200153390 1
1.0%
200153389 1
1.0%
200153388 1
1.0%
200153387 1
1.0%
200153386 1
1.0%
200153385 1
1.0%

FD_SVC_CODE
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
E64
57 
E11
43 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowE64
2nd rowE64
3rd rowE64
4th rowE64
5th rowE64

Common Values

ValueCountFrequency (%)
E64 57
57.0%
E11 43
43.0%

Length

2023-12-10T15:19:49.274087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:49.446067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e64 57
57.0%
e11 43
43.0%

ALLRGY_WHEAT_AT
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
57 
1
43 

Length

Max length4
Median length4
Mean length2.71
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 57
57.0%
1 43
43.0%

Length

2023-12-10T15:19:49.646250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:49.825937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
57.0%
1 43
43.0%

ALLRGY_MCKRL_AT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ALLRGY_CRAB_AT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ALLRGY_SHRMP_AT
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
1
 
3

Length

Max length4
Median length4
Mean length3.91
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
1 3
 
3.0%

Length

2023-12-10T15:19:50.101655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:50.387873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
1 3
 
3.0%

ALLRGY_PORK_AT
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
68 
1
32 

Length

Max length4
Median length4
Mean length3.04
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 68
68.0%
1 32
32.0%

Length

2023-12-10T15:19:50.588869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:50.773155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
68.0%
1 32
32.0%

ALLRGY_PEACH_AT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ALLRGY_TOMATO_AT
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
58 
1
42 

Length

Max length4
Median length4
Mean length2.74
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 58
58.0%
1 42
42.0%

Length

2023-12-10T15:19:50.972802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:51.179023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
58.0%
1 42
42.0%

ALLRGY_H2SO3_AT
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
90 
1
10 

Length

Max length4
Median length4
Mean length3.7
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 90
90.0%
1 10
 
10.0%

Length

2023-12-10T15:19:51.346827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:51.522992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 90
90.0%
1 10
 
10.0%

ALLRGY_WALNUT_AT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ALLRGY_CHCKN_AT
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
98 
1
 
2

Length

Max length4
Median length4
Mean length3.94
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 98
98.0%
1 2
 
2.0%

Length

2023-12-10T15:19:51.681283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:51.837282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
98.0%
1 2
 
2.0%

FD_CTGRY_CODE
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
6
43 
8
27 
9
20 
10
6 
7
 
4

Length

Max length2
Median length1
Mean length1.06
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7
2nd row7
3rd row7
4th row7
5th row8

Common Values

ValueCountFrequency (%)
6 43
43.0%
8 27
27.0%
9 20
20.0%
10 6
 
6.0%
7 4
 
4.0%

Length

2023-12-10T15:19:52.034651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:52.213511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 43
43.0%
8 27
27.0%
9 20
20.0%
10 6
 
6.0%
7 4
 
4.0%

ALLRGY_BEEF_AT
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
64 
1
36 

Length

Max length4
Median length4
Mean length2.92
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 64
64.0%
1 36
36.0%

Length

2023-12-10T15:19:52.455506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:52.646330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
64.0%
1 36
36.0%

ALLRGY_SQUID_AT
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
97 
1
 
3

Length

Max length4
Median length4
Mean length3.91
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 97
97.0%
1 3
 
3.0%

Length

2023-12-10T15:19:52.875397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:53.075827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
97.0%
1 3
 
3.0%

ALLRGY_OYSTR_AT
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
95 
1
 
5

Length

Max length4
Median length4
Mean length3.85
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
95.0%
1 5
 
5.0%

Length

2023-12-10T15:19:53.355075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:53.584888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
95.0%
1 5
 
5.0%

ALLRGY_ABLN_AT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ALLRGY_MSL_AT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ALLRGY_PNNT_AT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ALLRGY_CLAM_AT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

VGTD_FRUIT_AT
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
58 
1
42 

Length

Max length4
Median length4
Mean length2.74
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 58
58.0%
1 42
42.0%

Length

2023-12-10T15:19:53.838475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:54.004188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
58.0%
1 42
42.0%

VGTD_VGTBL_AT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

VGTD_DYCTS_AT
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
57 
1
43 

Length

Max length4
Median length4
Mean length2.71
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 57
57.0%
1 43
43.0%

Length

2023-12-10T15:19:54.236163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:54.487366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
57.0%
1 43
43.0%

FD_CTGRY_NM
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
구이류
43 
볶음류
27 
조림류
20 
튀김류
6 
전| 부침류
 
4

Length

Max length6
Median length3
Mean length3.12
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전| 부침류
2nd row전| 부침류
3rd row전| 부침류
4th row전| 부침류
5th row볶음류

Common Values

ValueCountFrequency (%)
구이류 43
43.0%
볶음류 27
27.0%
조림류 20
20.0%
튀김류 6
 
6.0%
전| 부침류 4
 
4.0%

Length

2023-12-10T15:19:54.694155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:54.956771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구이류 43
41.3%
볶음류 27
26.0%
조림류 20
19.2%
튀김류 6
 
5.8%
전 4
 
3.8%
부침류 4
 
3.8%

VGTD_EGG_AT
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
67 
1
33 

Length

Max length4
Median length4
Mean length3.01
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 67
67.0%
1 33
33.0%

Length

2023-12-10T15:19:55.194974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:55.532614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
67.0%
1 33
33.0%

VGTD_SFD_AT
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
92 
1
 
8

Length

Max length4
Median length4
Mean length3.76
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 92
92.0%
1 8
 
8.0%

Length

2023-12-10T15:19:55.930177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:56.165062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
92.0%
1 8
 
8.0%

VGTD_WHITE_MEAT_AT
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
98 
1
 
2

Length

Max length4
Median length4
Mean length3.94
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 98
98.0%
1 2
 
2.0%

Length

2023-12-10T15:19:56.375182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:56.607985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
98.0%
1 2
 
2.0%

VGTD_RED_MEAT_AT
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
64 
1
36 

Length

Max length4
Median length4
Mean length2.92
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 64
64.0%
1 36
36.0%

Length

2023-12-10T15:19:56.800169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:57.002840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
64.0%
1 36
36.0%

FD_QY_VALUE
Real number (ℝ)

Distinct83
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.255
Minimum58
Maximum184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:19:57.176481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile84.81
Q1104.425
median118.05
Q3130.25
95-th percentile163
Maximum184
Range126
Interquartile range (IQR)25.825

Descriptive statistics

Standard deviation23.555592
Coefficient of variation (CV)0.19752289
Kurtosis0.27587323
Mean119.255
Median Absolute Deviation (MAD)13.05
Skewness0.41398209
Sum11925.5
Variance554.86593
MonotonicityNot monotonic
2023-12-10T15:19:57.489609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107.0 4
 
4.0%
129.0 3
 
3.0%
120.0 3
 
3.0%
105.0 3
 
3.0%
122.0 2
 
2.0%
102.0 2
 
2.0%
105.6 2
 
2.0%
116.0 2
 
2.0%
123.0 2
 
2.0%
100.0 2
 
2.0%
Other values (73) 75
75.0%
ValueCountFrequency (%)
58.0 1
1.0%
76.3 1
1.0%
76.8 1
1.0%
80.6 1
1.0%
81.2 1
1.0%
85.0 1
1.0%
86.1 1
1.0%
91.5 1
1.0%
91.8 1
1.0%
93.2 1
1.0%
ValueCountFrequency (%)
184.0 1
1.0%
180.0 1
1.0%
173.0 1
1.0%
163.5 1
1.0%
163.0 2
2.0%
156.3 1
1.0%
156.1 1
1.0%
155.0 1
1.0%
154.0 1
1.0%
153.0 1
1.0%

TOT_CALORIE_VALUE
Real number (ℝ)

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.2421
Minimum58.37
Maximum512
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:19:57.746476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.37
5-th percentile90.229
Q1133.5525
median256.5
Q3311.445
95-th percentile402.0045
Maximum512
Range453.63
Interquartile range (IQR)177.8925

Descriptive statistics

Standard deviation105.74098
Coefficient of variation (CV)0.44570915
Kurtosis-0.90399866
Mean237.2421
Median Absolute Deviation (MAD)87.465
Skewness0.15722701
Sum23724.21
Variance11181.154
MonotonicityNot monotonic
2023-12-10T15:19:58.017454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
247.0 2
 
2.0%
296.0 2
 
2.0%
276.0 2
 
2.0%
271.0 1
 
1.0%
312.0 1
 
1.0%
448.0 1
 
1.0%
388.0 1
 
1.0%
368.0 1
 
1.0%
230.0 1
 
1.0%
291.0 1
 
1.0%
Other values (87) 87
87.0%
ValueCountFrequency (%)
58.37 1
1.0%
68.66 1
1.0%
78.03 1
1.0%
88.28 1
1.0%
88.88 1
1.0%
90.3 1
1.0%
94.99 1
1.0%
95.73 1
1.0%
99.39 1
1.0%
100.43 1
1.0%
ValueCountFrequency (%)
512.0 1
1.0%
448.0 1
1.0%
441.0 1
1.0%
421.0 1
1.0%
402.09 1
1.0%
402.0 1
1.0%
392.0 1
1.0%
388.0 1
1.0%
382.13 1
1.0%
381.0 1
1.0%

CARBO_VALUE
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing43
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean14.839474
Minimum4.29
Maximum51.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:19:58.737285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.29
5-th percentile4.65
Q16.71
median10.85
Q320.96
95-th percentile34.94
Maximum51.68
Range47.39
Interquartile range (IQR)14.25

Descriptive statistics

Standard deviation10.600926
Coefficient of variation (CV)0.71437345
Kurtosis1.4284101
Mean14.839474
Median Absolute Deviation (MAD)5.07
Skewness1.312233
Sum845.85
Variance112.37963
MonotonicityNot monotonic
2023-12-10T15:19:58.981920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.83 1
 
1.0%
6.78 1
 
1.0%
5.49 1
 
1.0%
4.38 1
 
1.0%
5.97 1
 
1.0%
6.71 1
 
1.0%
15.66 1
 
1.0%
4.91 1
 
1.0%
4.57 1
 
1.0%
10.03 1
 
1.0%
Other values (47) 47
47.0%
(Missing) 43
43.0%
ValueCountFrequency (%)
4.29 1
1.0%
4.38 1
1.0%
4.57 1
1.0%
4.67 1
1.0%
4.91 1
1.0%
5.14 1
1.0%
5.49 1
1.0%
5.54 1
1.0%
5.77 1
1.0%
5.78 1
1.0%
ValueCountFrequency (%)
51.68 1
1.0%
37.99 1
1.0%
35.02 1
1.0%
34.92 1
1.0%
32.72 1
1.0%
30.57 1
1.0%
29.43 1
1.0%
28.47 1
1.0%
27.99 1
1.0%
26.02 1
1.0%

SAC_VALUE
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
57 
4
24 
3
15 
2
 
3
1
 
1

Length

Max length4
Median length4
Mean length2.71
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 57
57.0%
4 24
24.0%
3 15
 
15.0%
2 3
 
3.0%
1 1
 
1.0%

Length

2023-12-10T15:19:59.211255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:19:59.393876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
57.0%
4 24
24.0%
3 15
 
15.0%
2 3
 
3.0%
1 1
 
1.0%

NTRFS_VALUE
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)100.0%
Missing43
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean8.2754386
Minimum0.41
Maximum25.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:19:59.606013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.41
5-th percentile1.496
Q14.19
median6.4
Q311.23
95-th percentile18.4
Maximum25.57
Range25.16
Interquartile range (IQR)7.04

Descriptive statistics

Standard deviation5.6136034
Coefficient of variation (CV)0.67834512
Kurtosis0.80243758
Mean8.2754386
Median Absolute Deviation (MAD)3.34
Skewness1.0436009
Sum471.7
Variance31.512543
MonotonicityNot monotonic
2023-12-10T15:19:59.850021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.19 1
 
1.0%
2.3 1
 
1.0%
3.92 1
 
1.0%
10.14 1
 
1.0%
11.9 1
 
1.0%
1.64 1
 
1.0%
3.04 1
 
1.0%
5.61 1
 
1.0%
5.62 1
 
1.0%
6.4 1
 
1.0%
Other values (47) 47
47.0%
(Missing) 43
43.0%
ValueCountFrequency (%)
0.41 1
1.0%
1.1 1
1.0%
1.48 1
1.0%
1.5 1
1.0%
1.64 1
1.0%
2.3 1
1.0%
2.53 1
1.0%
3.04 1
1.0%
3.06 1
1.0%
3.42 1
1.0%
ValueCountFrequency (%)
25.57 1
1.0%
22.54 1
1.0%
19.64 1
1.0%
18.09 1
1.0%
17.23 1
1.0%
16.54 1
1.0%
16.5 1
1.0%
15.56 1
1.0%
13.69 1
1.0%
13.43 1
1.0%

VFAT_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

FD_NM
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T15:20:00.356631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length11.21
Min length3

Characters and Unicode

Total characters1121
Distinct characters145
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

Unique100 ?
Unique (%)100.0%

Sample

1st row애호박전
2nd row달걀말이
3rd row두부부침
4th row두부전
5th row건새우볶음
ValueCountFrequency (%)
애호박전 1
 
1.0%
도미노피자_30치즈&뉴욕스트립스테이크+포테이토(씬크러스트m 1
 
1.0%
7번가피자_와이키키l(리코타링 1
 
1.0%
7번가피자_와이키키l(치즈링 1
 
1.0%
7번가피자_와이키키l(석쇠 1
 
1.0%
7번가피자_와이키키r(치즈링 1
 
1.0%
7번가피자_와이키키r(석쇠 1
 
1.0%
도미노피자_포테이토+슈퍼슈프림(더블치즈엣지l 1
 
1.0%
도미노피자_포테이토+슈퍼슈프림(씬크러스트m 1
 
1.0%
도미노피자_포테이토+슈퍼슈프림(씬크러스트l 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T15:20:01.157835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 47
 
4.2%
( 43
 
3.8%
_ 43
 
3.8%
피 43
 
3.8%
) 43
 
3.8%
치 35
 
3.1%
이 33
 
2.9%
가 33
 
2.9%
번 31
 
2.8%
7 31
 
2.8%
Other values (135) 739
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 888
79.2%
Decimal Number 45
 
4.0%
Open Punctuation 43
 
3.8%
Connector Punctuation 43
 
3.8%
Close Punctuation 43
 
3.8%
Uppercase Letter 42
 
3.7%
Math Symbol 10
 
0.9%
Other Punctuation 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 47
 
5.3%
피 43
 
4.8%
치 35
 
3.9%
이 33
 
3.7%
가 33
 
3.7%
번 31
 
3.5%
즈 26
 
2.9%
림 25
 
2.8%
스 24
 
2.7%
리 23
 
2.6%
Other values (124) 568
64.0%
Decimal Number
ValueCountFrequency (%)
7 31
68.9%
0 7
 
15.6%
3 7
 
15.6%
Uppercase Letter
ValueCountFrequency (%)
L 28
66.7%
R 9
 
21.4%
M 5
 
11.9%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Math Symbol
ValueCountFrequency (%)
+ 10
100.0%
Other Punctuation
ValueCountFrequency (%)
& 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 888
79.2%
Common 191
 
17.0%
Latin 42
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 47
 
5.3%
피 43
 
4.8%
치 35
 
3.9%
이 33
 
3.7%
가 33
 
3.7%
번 31
 
3.5%
즈 26
 
2.9%
림 25
 
2.8%
스 24
 
2.7%
리 23
 
2.6%
Other values (124) 568
64.0%
Common
ValueCountFrequency (%)
( 43
22.5%
_ 43
22.5%
) 43
22.5%
7 31
16.2%
+ 10
 
5.2%
& 7
 
3.7%
0 7
 
3.7%
3 7
 
3.7%
Latin
ValueCountFrequency (%)
L 28
66.7%
R 9
 
21.4%
M 5
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 888
79.2%
ASCII 233
 
20.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 47
 
5.3%
피 43
 
4.8%
치 35
 
3.9%
이 33
 
3.7%
가 33
 
3.7%
번 31
 
3.5%
즈 26
 
2.9%
림 25
 
2.8%
스 24
 
2.7%
리 23
 
2.6%
Other values (124) 568
64.0%
ASCII
ValueCountFrequency (%)
( 43
18.5%
_ 43
18.5%
) 43
18.5%
7 31
13.3%
L 28
12.0%
+ 10
 
4.3%
R 9
 
3.9%
& 7
 
3.0%
0 7
 
3.0%
3 7
 
3.0%

AFAT_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PROTN
Real number (ℝ)

Distinct72
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.1932
Minimum1.54
Maximum36.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:01.441396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.54
5-th percentile2.8555
Q110.185
median14.145
Q318
95-th percentile26.0485
Maximum36.11
Range34.57
Interquartile range (IQR)7.815

Descriptive statistics

Standard deviation7.1424723
Coefficient of variation (CV)0.50323199
Kurtosis0.73273296
Mean14.1932
Median Absolute Deviation (MAD)3.9
Skewness0.47967412
Sum1419.32
Variance51.014911
MonotonicityNot monotonic
2023-12-10T15:20:01.718828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.0 6
 
6.0%
20.0 5
 
5.0%
15.0 5
 
5.0%
18.0 4
 
4.0%
13.0 4
 
4.0%
17.0 4
 
4.0%
14.0 3
 
3.0%
25.0 2
 
2.0%
19.0 2
 
2.0%
26.0 2
 
2.0%
Other values (62) 63
63.0%
ValueCountFrequency (%)
1.54 1
1.0%
2.64 1
1.0%
2.67 1
1.0%
2.69 1
1.0%
2.77 1
1.0%
2.86 1
1.0%
2.87 1
1.0%
2.94 1
1.0%
3.1 1
1.0%
3.64 1
1.0%
ValueCountFrequency (%)
36.11 1
1.0%
34.85 1
1.0%
33.0 1
1.0%
27.0 1
1.0%
26.97 1
1.0%
26.0 2
2.0%
25.0 2
2.0%
23.88 1
1.0%
22.0 1
1.0%
21.0 2
2.0%

VPRTN_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

APROTN_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

FIBR_VALUE
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)93.0%
Missing43
Missing (%)43.0%
Infinite0
Infinite (%)0.0%
Mean2.4878947
Minimum0.57
Maximum8.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:01.959693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.57
5-th percentile0.836
Q11.53
median2.19
Q33
95-th percentile4.962
Maximum8.77
Range8.2
Interquartile range (IQR)1.47

Descriptive statistics

Standard deviation1.5099264
Coefficient of variation (CV)0.60690927
Kurtosis5.3794774
Mean2.4878947
Median Absolute Deviation (MAD)0.69
Skewness1.9583305
Sum141.81
Variance2.2798776
MonotonicityNot monotonic
2023-12-10T15:20:02.204327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3 2
 
2.0%
2.4 2
 
2.0%
1.24 2
 
2.0%
1.8 2
 
2.0%
4.77 1
 
1.0%
2.07 1
 
1.0%
1.73 1
 
1.0%
2.16 1
 
1.0%
1.74 1
 
1.0%
1.16 1
 
1.0%
Other values (43) 43
43.0%
(Missing) 43
43.0%
ValueCountFrequency (%)
0.57 1
1.0%
0.67 1
1.0%
0.82 1
1.0%
0.84 1
1.0%
1.01 1
1.0%
1.02 1
1.0%
1.11 1
1.0%
1.16 1
1.0%
1.24 2
2.0%
1.3 1
1.0%
ValueCountFrequency (%)
8.77 1
1.0%
7.15 1
1.0%
4.97 1
1.0%
4.96 1
1.0%
4.77 1
1.0%
4.58 1
1.0%
3.96 1
1.0%
3.95 1
1.0%
3.74 1
1.0%
3.4 1
1.0%

MOIST_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ASH_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

VITA_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

RTNOL_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

BCRT_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ALLRGY_EGG_AT
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
67 
1
33 

Length

Max length4
Median length4
Mean length3.01
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 67
67.0%
1 33
33.0%

Length

2023-12-10T15:20:02.410338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:20:02.576501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
67.0%
1 33
33.0%

VITD_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

VITE_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

VITK_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

VITC_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

VITB1_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

VITB2_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

NIACN_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

VITB6_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

FOLATE_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

VITB12_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ALLRGY_MILK_AT
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
57 
1
43 

Length

Max length4
Median length4
Mean length2.71
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 57
57.0%
1 43
43.0%

Length

2023-12-10T15:20:02.756161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:20:02.928514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
57.0%
1 43
43.0%

PANTO_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

BIOTIN_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

CA_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

VCA_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ACA_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PHOSPHO_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

NA_VALUE
Real number (ℝ)

Distinct94
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean554.344
Minimum183.09
Maximum1370.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:03.136600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183.09
5-th percentile334.4835
Q1423.3925
median486.65
Q3583.2325
95-th percentile1114.6425
Maximum1370.48
Range1187.39
Interquartile range (IQR)159.84

Descriptive statistics

Standard deviation222.63311
Coefficient of variation (CV)0.40161544
Kurtosis3.2065536
Mean554.344
Median Absolute Deviation (MAD)76.58
Skewness1.7097946
Sum55434.4
Variance49565.503
MonotonicityNot monotonic
2023-12-10T15:20:03.403811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
476.0 3
 
3.0%
551.0 2
 
2.0%
474.0 2
 
2.0%
518.0 2
 
2.0%
534.0 2
 
2.0%
183.09 1
 
1.0%
336.0 1
 
1.0%
326.0 1
 
1.0%
416.0 1
 
1.0%
362.0 1
 
1.0%
Other values (84) 84
84.0%
ValueCountFrequency (%)
183.09 1
1.0%
199.83 1
1.0%
323.26 1
1.0%
323.32 1
1.0%
326.0 1
1.0%
334.93 1
1.0%
336.0 1
1.0%
340.76 1
1.0%
346.74 1
1.0%
357.52 1
1.0%
ValueCountFrequency (%)
1370.48 1
1.0%
1260.95 1
1.0%
1216.59 1
1.0%
1204.82 1
1.0%
1173.02 1
1.0%
1111.57 1
1.0%
965.44 1
1.0%
855.89 1
1.0%
823.0 1
1.0%
807.6 1
1.0%

CHLOR_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

POTSSM_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

MGM_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ALLRGY_BCKWH_AT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

IRON_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

VIRON_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

AIRON_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ZINC_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

COPPR_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

FLRN_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

MANG_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

IDN_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

SELEN_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

CHOLE_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ALLRGY_PEANUT_AT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

SAFA_VALUE
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)18.6%
Missing57
Missing (%)57.0%
Infinite0
Infinite (%)0.0%
Mean6.8604651
Minimum4
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T15:20:03.662820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.1
Q16
median7
Q38
95-th percentile10
Maximum11
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.7806018
Coefficient of variation (CV)0.25954534
Kurtosis-0.094171498
Mean6.8604651
Median Absolute Deviation (MAD)1
Skewness0.53900636
Sum295
Variance3.1705426
MonotonicityNot monotonic
2023-12-10T15:20:03.884721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 10
 
10.0%
7 9
 
9.0%
8 7
 
7.0%
5 7
 
7.0%
9 3
 
3.0%
4 3
 
3.0%
10 2
 
2.0%
11 2
 
2.0%
(Missing) 57
57.0%
ValueCountFrequency (%)
4 3
 
3.0%
5 7
7.0%
6 10
10.0%
7 9
9.0%
8 7
7.0%
9 3
 
3.0%
10 2
 
2.0%
11 2
 
2.0%
ValueCountFrequency (%)
11 2
 
2.0%
10 2
 
2.0%
9 3
 
3.0%
8 7
7.0%
7 9
9.0%
6 10
10.0%
5 7
7.0%
4 3
 
3.0%

MUFA_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PUFA_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

TFAT_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ILE_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

LEU_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

LYS_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

METHIO_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

PHE_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

THREO_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ALLRGY_SOY_AT
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
57 
1
43 

Length

Max length4
Median length4
Mean length2.71
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 57
57.0%
1 43
43.0%

Length

2023-12-10T15:20:04.093798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:20:04.265302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
57.0%
1 43
43.0%

TRYPTO_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

VALINE_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

HISTI_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

ARGI_VALUE
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

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

Sample

FD_CODEFD_SVC_CODEALLRGY_WHEAT_ATALLRGY_MCKRL_ATALLRGY_CRAB_ATALLRGY_SHRMP_ATALLRGY_PORK_ATALLRGY_PEACH_ATALLRGY_TOMATO_ATALLRGY_H2SO3_ATALLRGY_WALNUT_ATALLRGY_CHCKN_ATFD_CTGRY_CODEALLRGY_BEEF_ATALLRGY_SQUID_ATALLRGY_OYSTR_ATALLRGY_ABLN_ATALLRGY_MSL_ATALLRGY_PNNT_ATALLRGY_CLAM_ATVGTD_FRUIT_ATVGTD_VGTBL_ATVGTD_DYCTS_ATFD_CTGRY_NMVGTD_EGG_ATVGTD_SFD_ATVGTD_WHITE_MEAT_ATVGTD_RED_MEAT_ATFD_QY_VALUETOT_CALORIE_VALUECARBO_VALUESAC_VALUENTRFS_VALUEVFAT_VALUEFD_NMAFAT_VALUEPROTNVPRTN_VALUEAPROTN_VALUEFIBR_VALUEMOIST_VALUEASH_VALUEVITA_VALUERTNOL_VALUEBCRT_VALUEALLRGY_EGG_ATVITD_VALUEVITE_VALUEVITK_VALUEVITC_VALUEVITB1_VALUEVITB2_VALUENIACN_VALUEVITB6_VALUEFOLATE_VALUEVITB12_VALUEALLRGY_MILK_ATPANTO_VALUEBIOTIN_VALUECA_VALUEVCA_VALUEACA_VALUEPHOSPHO_VALUENA_VALUECHLOR_VALUEPOTSSM_VALUEMGM_VALUEALLRGY_BCKWH_ATIRON_VALUEVIRON_VALUEAIRON_VALUEZINC_VALUECOPPR_VALUEFLRN_VALUEMANG_VALUEIDN_VALUESELEN_VALUECHOLE_VALUEALLRGY_PEANUT_ATSAFA_VALUEMUFA_VALUEPUFA_VALUETFAT_VALUEILE_VALUELEU_VALUELYS_VALUEMETHIO_VALUEPHE_VALUETHREO_VALUEALLRGY_SOY_ATTRYPTO_VALUEVALINE_VALUEHISTI_VALUEARGI_VALUELAST_UPDT_DTTRANSMIS_DTTM
0200153338E64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전| 부침류<NA><NA><NA><NA>156.3143.5211.04<NA>9.61<NA>애호박전<NA>4.39<NA><NA>3.95<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>183.09<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1200153339E64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전| 부침류<NA><NA><NA><NA>123.8172.244.67<NA>11.23<NA>달걀말이<NA>12.04<NA><NA>1.53<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>323.32<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
2200153340E64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전| 부침류<NA><NA><NA><NA>112.9134.884.29<NA>8.76<NA>두부부침<NA>9.92<NA><NA>2.76<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>199.83<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3200153341E64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전| 부침류<NA><NA><NA><NA>146.0181.355.77<NA>12.88<NA>두부전<NA>13.33<NA><NA>3.27<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>357.52<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4200153342E64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>볶음류<NA><NA><NA><NA>105.2345.9324.07<NA>11.48<NA>건새우볶음<NA>36.11<NA><NA>2.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>965.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5200153343E64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>볶음류<NA><NA><NA><NA>156.190.311.76<NA>1.5<NA>낙지볶음<NA>8.93<NA><NA>2.59<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>434.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6200153344E64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>볶음류<NA><NA><NA><NA>128.5346.1328.47<NA>10.21<NA>멸치볶음<NA>34.85<NA><NA>0.84<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1370.48<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7200153345E64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>볶음류<NA><NA><NA><NA>140.0187.724.19<NA>5.39<NA>어묵볶음<NA>12.03<NA><NA>2.46<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>855.89<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8200153346E64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>볶음류<NA><NA><NA><NA>127.8121.8513.71<NA>3.42<NA>오징어볶음<NA>10.22<NA><NA>3.12<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>512.93<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9200153347E64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>볶음류<NA><NA><NA><NA>93.2278.5735.02<NA>3.43<NA>오징어채볶음<NA>26.97<NA><NA>1.3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1204.82<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
FD_CODEFD_SVC_CODEALLRGY_WHEAT_ATALLRGY_MCKRL_ATALLRGY_CRAB_ATALLRGY_SHRMP_ATALLRGY_PORK_ATALLRGY_PEACH_ATALLRGY_TOMATO_ATALLRGY_H2SO3_ATALLRGY_WALNUT_ATALLRGY_CHCKN_ATFD_CTGRY_CODEALLRGY_BEEF_ATALLRGY_SQUID_ATALLRGY_OYSTR_ATALLRGY_ABLN_ATALLRGY_MSL_ATALLRGY_PNNT_ATALLRGY_CLAM_ATVGTD_FRUIT_ATVGTD_VGTBL_ATVGTD_DYCTS_ATFD_CTGRY_NMVGTD_EGG_ATVGTD_SFD_ATVGTD_WHITE_MEAT_ATVGTD_RED_MEAT_ATFD_QY_VALUETOT_CALORIE_VALUECARBO_VALUESAC_VALUENTRFS_VALUEVFAT_VALUEFD_NMAFAT_VALUEPROTNVPRTN_VALUEAPROTN_VALUEFIBR_VALUEMOIST_VALUEASH_VALUEVITA_VALUERTNOL_VALUEBCRT_VALUEALLRGY_EGG_ATVITD_VALUEVITE_VALUEVITK_VALUEVITC_VALUEVITB1_VALUEVITB2_VALUENIACN_VALUEVITB6_VALUEFOLATE_VALUEVITB12_VALUEALLRGY_MILK_ATPANTO_VALUEBIOTIN_VALUECA_VALUEVCA_VALUEACA_VALUEPHOSPHO_VALUENA_VALUECHLOR_VALUEPOTSSM_VALUEMGM_VALUEALLRGY_BCKWH_ATIRON_VALUEVIRON_VALUEAIRON_VALUEZINC_VALUECOPPR_VALUEFLRN_VALUEMANG_VALUEIDN_VALUESELEN_VALUECHOLE_VALUEALLRGY_PEANUT_ATSAFA_VALUEMUFA_VALUEPUFA_VALUETFAT_VALUEILE_VALUELEU_VALUELYS_VALUEMETHIO_VALUEPHE_VALUETHREO_VALUEALLRGY_SOY_ATTRYPTO_VALUEVALINE_VALUEHISTI_VALUEARGI_VALUELAST_UPDT_DTTRANSMIS_DTTM
90200150300E111<NA><NA><NA>1<NA>1<NA><NA><NA>61<NA><NA><NA><NA><NA><NA>1<NA>1구이류1<NA><NA>1107.0275.0<NA>3<NA><NA>7번가피자_고구마L(석쇠)<NA>13.0<NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>391.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>
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92200150302E111<NA><NA><NA>1<NA>1<NA><NA><NA>61<NA><NA><NA><NA><NA><NA>1<NA>1구이류1<NA><NA>1120.0315.0<NA>4<NA><NA>7번가피자_고구마L(리코타링)<NA>15.0<NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>476.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>
93200150304E111<NA><NA><NA><NA><NA><NA><NA><NA><NA>6<NA><NA><NA><NA><NA><NA><NA><NA><NA>1구이류<NA><NA><NA><NA>110.0374.0<NA>1<NA><NA>7번가피자_고르곤졸라(본이탈리아노)<NA>25.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>551.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>11<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>
94200150305E111<NA><NA><NA><NA><NA>1<NA><NA><NA>6<NA><NA><NA><NA><NA><NA><NA>1<NA>1구이류<NA><NA><NA><NA>123.0342.0<NA>3<NA><NA>7번가피자_더블치즈R(석쇠)<NA>22.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>522.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>
95200150306E111<NA><NA><NA><NA><NA>1<NA><NA><NA>6<NA><NA><NA><NA><NA><NA><NA>1<NA>1구이류<NA><NA><NA><NA>148.0402.0<NA>3<NA><NA>7번가피자_더블치즈R(치즈링)<NA>27.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>734.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>
96200150309E111<NA><NA><NA><NA><NA>1<NA><NA><NA>6<NA><NA><NA><NA><NA><NA><NA>1<NA>1구이류<NA><NA><NA><NA>184.0512.0<NA>4<NA><NA>7번가피자_더블치즈L(석쇠)<NA>33.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>781.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>11<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>
97200150310E111<NA><NA><NA><NA><NA>1<NA><NA><NA>6<NA><NA><NA><NA><NA><NA><NA>1<NA>1구이류<NA><NA><NA><NA>107.0292.0<NA>2<NA><NA>7번가피자_더블치즈L(치즈링)<NA>20.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>518.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>
98200150311E111<NA><NA><NA><NA><NA>1<NA><NA><NA>6<NA><NA><NA><NA><NA><NA><NA>1<NA>1구이류<NA><NA><NA><NA>105.0296.0<NA>3<NA><NA>7번가피자_더블치즈L(리코타링)<NA>19.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>476.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>
99200150312E111<NA><NA><NA><NA><NA>1<NA><NA><NA>6<NA><NA><NA><NA><NA><NA><NA>1<NA>1구이류1<NA><NA><NA>116.0326.0<NA>4<NA><NA>7번가피자_더블치즈L(골드스윗)<NA>20.0<NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>476.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9<NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA>