Overview

Dataset statistics

Number of variables55
Number of observations3606
Missing cells32968
Missing cells (%)16.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory476.0 B

Variable types

Text6
Categorical14
Numeric32
Boolean1
DateTime2

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실)
Author해양수산부(국립수산과학원), 농촌진흥청(국립농업과학원)
URLhttps://www.data.go.kr/data/15100065/standard.do

Alerts

데이터구분코드 has constant value ""Constant
데이터구분명 has constant value ""Constant
영양성분함량기준량 is highly imbalanced (94.4%)Imbalance
수입여부 is highly imbalanced (72.5%)Imbalance
데이터생성방법명 is highly imbalanced (70.3%)Imbalance
원산지국명 is highly imbalanced (67.3%)Imbalance
원산지역명 is highly imbalanced (58.5%)Imbalance
데이터생성방법코드 is highly imbalanced (70.3%)Imbalance
회분(g) has 42 (1.2%) missing valuesMissing
당류(g) has 1751 (48.6%) missing valuesMissing
식이섬유(g) has 1567 (43.5%) missing valuesMissing
칼슘(mg) has 953 (26.4%) missing valuesMissing
철(mg) has 942 (26.1%) missing valuesMissing
인(mg) has 953 (26.4%) missing valuesMissing
칼륨(mg) has 1537 (42.6%) missing valuesMissing
나트륨(mg) has 1533 (42.5%) missing valuesMissing
비타민 A(μg RAE) has 1547 (42.9%) missing valuesMissing
레티놀(μg) has 1189 (33.0%) missing valuesMissing
베타카로틴(μg) has 1685 (46.7%) missing valuesMissing
티아민(mg) has 1125 (31.2%) missing valuesMissing
리보플라빈(mg) has 1124 (31.2%) missing valuesMissing
니아신(mg) has 1195 (33.1%) missing valuesMissing
비타민 C(mg) has 1211 (33.6%) missing valuesMissing
비타민 D(μg) has 2114 (58.6%) missing valuesMissing
콜레스테롤(mg) has 2126 (59.0%) missing valuesMissing
포화지방산(g) has 2027 (56.2%) missing valuesMissing
트랜스지방산(g) has 2272 (63.0%) missing valuesMissing
폐기율(%) has 1717 (47.6%) missing valuesMissing
원산지국코드 has 1797 (49.8%) missing valuesMissing
생산·채취·포획월 has 2506 (69.5%) missing valuesMissing
비타민 A(μg RAE) is highly skewed (γ1 = 22.31962562)Skewed
레티놀(μg) is highly skewed (γ1 = 23.89885023)Skewed
비타민 D(μg) is highly skewed (γ1 = 27.10490705)Skewed
식품코드 has unique valuesUnique
식품세분류코드 has 127 (3.5%) zerosZeros
단백질(g) has 44 (1.2%) zerosZeros
지방(g) has 62 (1.7%) zerosZeros
탄수화물(g) has 877 (24.3%) zerosZeros
당류(g) has 659 (18.3%) zerosZeros
식이섬유(g) has 1032 (28.6%) zerosZeros
인(mg) has 63 (1.7%) zerosZeros
나트륨(mg) has 183 (5.1%) zerosZeros
비타민 A(μg RAE) has 695 (19.3%) zerosZeros
레티놀(μg) has 1650 (45.8%) zerosZeros
베타카로틴(μg) has 869 (24.1%) zerosZeros
티아민(mg) has 149 (4.1%) zerosZeros
리보플라빈(mg) has 92 (2.6%) zerosZeros
니아신(mg) has 81 (2.2%) zerosZeros
비타민 C(mg) has 880 (24.4%) zerosZeros
비타민 D(μg) has 1222 (33.9%) zerosZeros
콜레스테롤(mg) has 1032 (28.6%) zerosZeros
트랜스지방산(g) has 835 (23.2%) zerosZeros
폐기율(%) has 1379 (38.2%) zerosZeros

Reproduction

Analysis started2024-03-14 09:27:07.337119
Analysis finished2024-03-14 09:27:09.958102
Duration2.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식품코드
Text

UNIQUE 

Distinct3606
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
2024-03-14T18:27:10.524663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters68514
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3606 ?
Unique (%)100.0%

Sample

1st rowR101-003000101-0000
2nd rowR101-003010101-0000
3rd rowR101-003020101-0000
4th rowR101-003030101-0000
5th rowR101-003040101-0000
ValueCountFrequency (%)
r101-003000101-0000 1
 
< 0.1%
r211-131014071-0187 1
 
< 0.1%
r211-151014001-0759 1
 
< 0.1%
r211-173234001-1200 1
 
< 0.1%
r211-151034001-1199 1
 
< 0.1%
r211-151054001-0759 1
 
< 0.1%
r211-151054050-0000 1
 
< 0.1%
r211-151074001-1200 1
 
< 0.1%
r211-151094001-1199 1
 
< 0.1%
r211-151114001-0000 1
 
< 0.1%
Other values (3596) 3596
99.7%
2024-03-14T18:27:11.706037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26003
38.0%
1 12273
17.9%
- 7212
 
10.5%
2 4726
 
6.9%
R 3606
 
5.3%
4 2865
 
4.2%
7 2280
 
3.3%
3 2088
 
3.0%
9 2004
 
2.9%
6 1920
 
2.8%
Other values (2) 3537
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 57696
84.2%
Dash Punctuation 7212
 
10.5%
Uppercase Letter 3606
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26003
45.1%
1 12273
21.3%
2 4726
 
8.2%
4 2865
 
5.0%
7 2280
 
4.0%
3 2088
 
3.6%
9 2004
 
3.5%
6 1920
 
3.3%
5 1909
 
3.3%
8 1628
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 7212
100.0%
Uppercase Letter
ValueCountFrequency (%)
R 3606
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 64908
94.7%
Latin 3606
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26003
40.1%
1 12273
18.9%
- 7212
 
11.1%
2 4726
 
7.3%
4 2865
 
4.4%
7 2280
 
3.5%
3 2088
 
3.2%
9 2004
 
3.1%
6 1920
 
3.0%
5 1909
 
2.9%
Latin
ValueCountFrequency (%)
R 3606
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68514
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26003
38.0%
1 12273
17.9%
- 7212
 
10.5%
2 4726
 
6.9%
R 3606
 
5.3%
4 2865
 
4.2%
7 2280
 
3.3%
3 2088
 
3.0%
9 2004
 
2.9%
6 1920
 
2.8%
Other values (2) 3537
 
5.2%
Distinct3597
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
2024-03-14T18:27:12.602366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31
Mean length15.500277
Min length1

Characters and Unicode

Total characters55894
Distinct characters655
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3588 ?
Unique (%)99.5%

Sample

1st row기장_도정_생것
2nd row기장_찰기장_도정_생것
3rd row기장_찰기장+이백찰_도정_생것
4th row기장_찰기장+한라찰_도정_생것
5th row기장_찰기장+황실찰_도정_생것
ValueCountFrequency (%)
말린것_대표_평균 33
 
0.8%
절여 25
 
0.6%
삶은것 25
 
0.6%
돼지 22
 
0.6%
절인것 18
 
0.5%
17
 
0.4%
저장한것_대표_평균 16
 
0.4%
말린것 13
 
0.3%
포함_생것 13
 
0.3%
송아지 12
 
0.3%
Other values (3626) 3781
95.1%
2024-03-14T18:27:13.930656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 11868
 
21.2%
3392
 
6.1%
2373
 
4.2%
1372
 
2.5%
1293
 
2.3%
1101
 
2.0%
1061
 
1.9%
) 871
 
1.6%
( 871
 
1.6%
809
 
1.4%
Other values (645) 30883
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39358
70.4%
Connector Punctuation 11868
 
21.2%
Decimal Number 1781
 
3.2%
Close Punctuation 871
 
1.6%
Open Punctuation 871
 
1.6%
Space Separator 369
 
0.7%
Other Punctuation 281
 
0.5%
Lowercase Letter 246
 
0.4%
Math Symbol 176
 
0.3%
Uppercase Letter 45
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3392
 
8.6%
2373
 
6.0%
1372
 
3.5%
1293
 
3.3%
1101
 
2.8%
1061
 
2.7%
809
 
2.1%
779
 
2.0%
743
 
1.9%
667
 
1.7%
Other values (607) 25768
65.5%
Lowercase Letter
ValueCountFrequency (%)
c 111
45.1%
m 111
45.1%
o 5
 
2.0%
a 4
 
1.6%
n 4
 
1.6%
e 3
 
1.2%
l 2
 
0.8%
r 2
 
0.8%
g 1
 
0.4%
y 1
 
0.4%
Other values (2) 2
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 420
23.6%
2 276
15.5%
5 218
12.2%
6 210
11.8%
3 176
9.9%
4 171
9.6%
0 92
 
5.2%
9 74
 
4.2%
8 72
 
4.0%
7 72
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
E 25
55.6%
Z 12
26.7%
R 3
 
6.7%
I 1
 
2.2%
C 1
 
2.2%
N 1
 
2.2%
O 1
 
2.2%
S 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 280
99.6%
. 1
 
0.4%
Connector Punctuation
ValueCountFrequency (%)
_ 11868
100.0%
Close Punctuation
ValueCountFrequency (%)
) 871
100.0%
Open Punctuation
ValueCountFrequency (%)
( 871
100.0%
Space Separator
ValueCountFrequency (%)
369
100.0%
Math Symbol
ValueCountFrequency (%)
+ 176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39358
70.4%
Common 16245
29.1%
Latin 291
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3392
 
8.6%
2373
 
6.0%
1372
 
3.5%
1293
 
3.3%
1101
 
2.8%
1061
 
2.7%
809
 
2.1%
779
 
2.0%
743
 
1.9%
667
 
1.7%
Other values (607) 25768
65.5%
Latin
ValueCountFrequency (%)
c 111
38.1%
m 111
38.1%
E 25
 
8.6%
Z 12
 
4.1%
o 5
 
1.7%
a 4
 
1.4%
n 4
 
1.4%
e 3
 
1.0%
R 3
 
1.0%
l 2
 
0.7%
Other values (10) 11
 
3.8%
Common
ValueCountFrequency (%)
_ 11868
73.1%
) 871
 
5.4%
( 871
 
5.4%
1 420
 
2.6%
369
 
2.3%
, 280
 
1.7%
2 276
 
1.7%
5 218
 
1.3%
6 210
 
1.3%
3 176
 
1.1%
Other values (8) 686
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39358
70.4%
ASCII 16536
29.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 11868
71.8%
) 871
 
5.3%
( 871
 
5.3%
1 420
 
2.5%
369
 
2.2%
, 280
 
1.7%
2 276
 
1.7%
5 218
 
1.3%
6 210
 
1.3%
3 176
 
1.1%
Other values (28) 977
 
5.9%
Hangul
ValueCountFrequency (%)
3392
 
8.6%
2373
 
6.0%
1372
 
3.5%
1293
 
3.3%
1101
 
2.8%
1061
 
2.7%
809
 
2.1%
779
 
2.0%
743
 
1.9%
667
 
1.7%
Other values (607) 25768
65.5%

데이터구분코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
R
3606 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
R 3606
100.0%

Length

2024-03-14T18:27:14.352453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:27:14.670631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
r 3606
100.0%

데이터구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
원재료성 식품
3606 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row원재료성 식품
2nd row원재료성 식품
3rd row원재료성 식품
4th row원재료성 식품
5th row원재료성 식품

Common Values

ValueCountFrequency (%)
원재료성 식품 3606
100.0%

Length

2024-03-14T18:27:14.997844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:27:15.310169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원재료성 3606
50.0%
식품 3606
50.0%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
2
2077 
1
1519 
3
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 2077
57.6%
1 1519
42.1%
3 10
 
0.3%

Length

2024-03-14T18:27:15.635351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:27:15.953905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 2077
57.6%
1 1519
42.1%
3 10
 
0.3%

식품기원명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
동물성
2077 
식물성
1519 
기타
 
10

Length

Max length3
Median length3
Mean length2.9972268
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물성 2077
57.6%
식물성 1519
42.1%
기타 10
 
0.3%

Length

2024-03-14T18:27:16.212638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:27:16.621671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물성 2077
57.6%
식물성 1519
42.1%
기타 10
 
0.3%

식품대분류코드
Real number (ℝ)

Distinct17
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8388796
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:16.885611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median11
Q311
95-th percentile12
Maximum20
Range19
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.5520848
Coefficient of variation (CV)0.40187048
Kurtosis0.73219469
Mean8.8388796
Median Absolute Deviation (MAD)2
Skewness-0.44428279
Sum31873
Variance12.617306
MonotonicityNot monotonic
2024-03-14T18:27:17.268466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
11 1636
45.4%
6 541
 
15.0%
9 390
 
10.8%
1 270
 
7.5%
8 190
 
5.3%
12 114
 
3.2%
7 94
 
2.6%
5 68
 
1.9%
2 66
 
1.8%
4 61
 
1.7%
Other values (7) 176
 
4.9%
ValueCountFrequency (%)
1 270
7.5%
2 66
 
1.8%
3 13
 
0.4%
4 61
 
1.7%
5 68
 
1.9%
6 541
15.0%
7 94
 
2.6%
8 190
 
5.3%
9 390
10.8%
10 27
 
0.7%
ValueCountFrequency (%)
20 30
 
0.8%
18 42
 
1.2%
15 34
 
0.9%
14 24
 
0.7%
13 6
 
0.2%
12 114
 
3.2%
11 1636
45.4%
10 27
 
0.7%
9 390
 
10.8%
8 190
 
5.3%
Distinct17
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
어패류 및 기타 수산물
1636 
채소류
541 
육류
390 
곡류
270 
과일류
190 
Other values (12)
579 

Length

Max length12
Median length8
Mean length7.051858
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
어패류 및 기타 수산물 1636
45.4%
채소류 541
 
15.0%
육류 390
 
10.8%
곡류 270
 
7.5%
과일류 190
 
5.3%
해조류 114
 
3.2%
버섯류 94
 
2.6%
견과 및 종실류 68
 
1.9%
감자 및 전분류 66
 
1.8%
두류 61
 
1.7%
Other values (7) 176
 
4.9%

Length

2024-03-14T18:27:17.693729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1770
20.2%
기타 1666
19.0%
어패류 1636
18.6%
수산물 1636
18.6%
채소류 541
 
6.2%
육류 390
 
4.4%
곡류 270
 
3.1%
과일류 190
 
2.2%
해조류 114
 
1.3%
버섯류 94
 
1.1%
Other values (11) 475
 
5.4%

대표식품코드
Real number (ℝ)

Distinct713
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9021.5355
Minimum1001
Maximum20963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:18.080686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1001
5-th percentile1026.25
Q16185
median11009
Q311225
95-th percentile12829
Maximum20963
Range19962
Interquartile range (IQR)5040

Descriptive statistics

Standard deviation3645.2193
Coefficient of variation (CV)0.40405753
Kurtosis0.5108884
Mean9021.5355
Median Absolute Deviation (MAD)1972.5
Skewness-0.47191224
Sum32531657
Variance13287624
MonotonicityNot monotonic
2024-03-14T18:27:18.525637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9027 204
 
5.7%
11009 123
 
3.4%
1008 80
 
2.2%
11715 71
 
2.0%
11011 69
 
1.9%
11667 61
 
1.7%
11079 53
 
1.5%
11143 50
 
1.4%
9014 45
 
1.2%
11471 43
 
1.2%
Other values (703) 2807
77.8%
ValueCountFrequency (%)
1001 4
 
0.1%
1003 5
 
0.1%
1004 2
 
0.1%
1005 4
 
0.1%
1006 2
 
0.1%
1007 2
 
0.1%
1008 80
2.2%
1010 2
 
0.1%
1013 24
 
0.7%
1016 10
 
0.3%
ValueCountFrequency (%)
20963 1
 
< 0.1%
20032 1
 
< 0.1%
20031 1
 
< 0.1%
20029 2
 
0.1%
20028 2
 
0.1%
20027 1
 
< 0.1%
20026 1
 
< 0.1%
20025 1
 
< 0.1%
20023 1
 
< 0.1%
20021 5
0.1%
Distinct700
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
2024-03-14T18:27:19.708209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length3.1747088
Min length1

Characters and Unicode

Total characters11448
Distinct characters442
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique304 ?
Unique (%)8.4%

Sample

1st row기장
2nd row기장
3rd row기장
4th row기장
5th row기장
ValueCountFrequency (%)
소고기 204
 
5.5%
가자미류 123
 
3.3%
멥쌀 80
 
2.2%
게류 71
 
1.9%
갈치류 69
 
1.9%
부산물 64
 
1.7%
오징어류 61
 
1.6%
돔류 53
 
1.4%
보구치 50
 
1.4%
돼지고기 45
 
1.2%
Other values (688) 2883
77.9%
2024-03-14T18:27:21.289361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1290
 
11.3%
505
 
4.4%
460
 
4.0%
458
 
4.0%
280
 
2.4%
265
 
2.3%
261
 
2.3%
200
 
1.7%
198
 
1.7%
172
 
1.5%
Other values (432) 7359
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11133
97.2%
Open Punctuation 109
 
1.0%
Close Punctuation 109
 
1.0%
Space Separator 97
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1290
 
11.6%
505
 
4.5%
460
 
4.1%
458
 
4.1%
280
 
2.5%
265
 
2.4%
261
 
2.3%
200
 
1.8%
198
 
1.8%
172
 
1.5%
Other values (429) 7044
63.3%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 109
100.0%
Space Separator
ValueCountFrequency (%)
97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11133
97.2%
Common 315
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1290
 
11.6%
505
 
4.5%
460
 
4.1%
458
 
4.1%
280
 
2.5%
265
 
2.4%
261
 
2.3%
200
 
1.8%
198
 
1.8%
172
 
1.5%
Other values (429) 7044
63.3%
Common
ValueCountFrequency (%)
( 109
34.6%
) 109
34.6%
97
30.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11133
97.2%
ASCII 315
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1290
 
11.6%
505
 
4.5%
460
 
4.1%
458
 
4.1%
280
 
2.5%
265
 
2.4%
261
 
2.3%
200
 
1.8%
198
 
1.8%
172
 
1.5%
Other values (429) 7044
63.3%
ASCII
ValueCountFrequency (%)
( 109
34.6%
) 109
34.6%
97
30.8%

식품중분류코드
Real number (ℝ)

Distinct1437
Distinct (%)39.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean902158.89
Minimum100101
Maximum2096301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:21.704121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100101
5-th percentile102629.5
Q1618500
median1100915
Q31122501
95-th percentile1282904.5
Maximum2096301
Range1996200
Interquartile range (IQR)504001

Descriptive statistics

Standard deviation364521.01
Coefficient of variation (CV)0.40405412
Kurtosis0.51082005
Mean902158.89
Median Absolute Deviation (MAD)197264
Skewness-0.47189518
Sum3.2531849 × 109
Variance1.3287557 × 1011
MonotonicityNot monotonic
2024-03-14T18:27:22.172488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
902706 45
 
1.2%
902707 45
 
1.2%
902708 45
 
1.2%
901400 45
 
1.2%
902704 45
 
1.2%
1171515 44
 
1.2%
1123501 41
 
1.1%
1101101 37
 
1.0%
1106503 36
 
1.0%
1104301 35
 
1.0%
Other values (1427) 3188
88.4%
ValueCountFrequency (%)
100101 1
< 0.1%
100102 1
< 0.1%
100103 1
< 0.1%
100104 1
< 0.1%
100300 1
< 0.1%
100301 1
< 0.1%
100302 1
< 0.1%
100303 1
< 0.1%
100304 1
< 0.1%
100400 2
0.1%
ValueCountFrequency (%)
2096301 1
< 0.1%
2003200 1
< 0.1%
2003100 1
< 0.1%
2002900 2
0.1%
2002800 2
0.1%
2002700 1
< 0.1%
2002600 1
< 0.1%
2002503 1
< 0.1%
2002300 1
< 0.1%
2002103 2
0.1%
Distinct931
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
2024-03-14T18:27:23.336753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length4.1206323
Min length1

Characters and Unicode

Total characters14859
Distinct characters496
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique527 ?
Unique (%)14.6%

Sample

1st row해당없음
2nd row찰기장
3rd row찰기장+이백찰
4th row찰기장+한라찰
5th row찰기장+황실찰
ValueCountFrequency (%)
해당없음 911
 
25.2%
한우(1등급 45
 
1.2%
수입산(미국산 45
 
1.2%
한우(1+등급 45
 
1.2%
한우(1++등급 45
 
1.2%
한우(2등급 45
 
1.2%
붉은대게 44
 
1.2%
청어 41
 
1.1%
갈치 37
 
1.0%
대구 36
 
1.0%
Other values (922) 2328
64.3%
2024-03-14T18:27:24.903112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
943
 
6.3%
919
 
6.2%
911
 
6.1%
911
 
6.1%
) 486
 
3.3%
( 485
 
3.3%
452
 
3.0%
317
 
2.1%
289
 
1.9%
287
 
1.9%
Other values (486) 8859
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12917
86.9%
Decimal Number 505
 
3.4%
Close Punctuation 486
 
3.3%
Open Punctuation 485
 
3.3%
Lowercase Letter 246
 
1.7%
Math Symbol 166
 
1.1%
Dash Punctuation 28
 
0.2%
Space Separator 16
 
0.1%
Uppercase Letter 9
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
943
 
7.3%
919
 
7.1%
911
 
7.1%
911
 
7.1%
452
 
3.5%
317
 
2.5%
289
 
2.2%
287
 
2.2%
222
 
1.7%
213
 
1.6%
Other values (452) 7453
57.7%
Lowercase Letter
ValueCountFrequency (%)
m 111
45.1%
c 111
45.1%
o 5
 
2.0%
a 4
 
1.6%
n 4
 
1.6%
e 3
 
1.2%
l 2
 
0.8%
r 2
 
0.8%
d 1
 
0.4%
w 1
 
0.4%
Other values (2) 2
 
0.8%
Decimal Number
ValueCountFrequency (%)
2 169
33.5%
1 153
30.3%
5 45
 
8.9%
3 40
 
7.9%
4 29
 
5.7%
6 24
 
4.8%
9 24
 
4.8%
0 20
 
4.0%
8 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
R 3
33.3%
O 1
 
11.1%
I 1
 
11.1%
E 1
 
11.1%
C 1
 
11.1%
N 1
 
11.1%
S 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 486
100.0%
Open Punctuation
ValueCountFrequency (%)
( 485
100.0%
Math Symbol
ValueCountFrequency (%)
+ 166
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12917
86.9%
Common 1687
 
11.4%
Latin 255
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
943
 
7.3%
919
 
7.1%
911
 
7.1%
911
 
7.1%
452
 
3.5%
317
 
2.5%
289
 
2.2%
287
 
2.2%
222
 
1.7%
213
 
1.6%
Other values (452) 7453
57.7%
Latin
ValueCountFrequency (%)
m 111
43.5%
c 111
43.5%
o 5
 
2.0%
a 4
 
1.6%
n 4
 
1.6%
R 3
 
1.2%
e 3
 
1.2%
l 2
 
0.8%
r 2
 
0.8%
d 1
 
0.4%
Other values (9) 9
 
3.5%
Common
ValueCountFrequency (%)
) 486
28.8%
( 485
28.7%
2 169
 
10.0%
+ 166
 
9.8%
1 153
 
9.1%
5 45
 
2.7%
3 40
 
2.4%
4 29
 
1.7%
- 28
 
1.7%
6 24
 
1.4%
Other values (5) 62
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12917
86.9%
ASCII 1942
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
943
 
7.3%
919
 
7.1%
911
 
7.1%
911
 
7.1%
452
 
3.5%
317
 
2.5%
289
 
2.2%
287
 
2.2%
222
 
1.7%
213
 
1.6%
Other values (452) 7453
57.7%
ASCII
ValueCountFrequency (%)
) 486
25.0%
( 485
25.0%
2 169
 
8.7%
+ 166
 
8.5%
1 153
 
7.9%
m 111
 
5.7%
c 111
 
5.7%
5 45
 
2.3%
3 40
 
2.1%
4 29
 
1.5%
Other values (24) 147
 
7.6%

식품소분류코드
Real number (ℝ)

Distinct2032
Distinct (%)56.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90215919
Minimum10010101
Maximum2.0963014 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:25.317108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10010101
5-th percentile10262950
Q161850079
median1.1009152 × 108
Q31.1225014 × 108
95-th percentile1.282905 × 108
Maximum2.0963014 × 108
Range1.9962004 × 108
Interquartile range (IQR)50400061

Descriptive statistics

Standard deviation36452110
Coefficient of variation (CV)0.40405408
Kurtosis0.51081906
Mean90215919
Median Absolute Deviation (MAD)19726334
Skewness-0.47189599
Sum3.253186 × 1011
Variance1.3287563 × 1015
MonotonicityNot monotonic
2024-03-14T18:27:25.774096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111430140 26
 
0.7%
110650340 24
 
0.7%
110210140 19
 
0.5%
112250140 17
 
0.5%
112171340 16
 
0.4%
110110140 14
 
0.4%
111950340 14
 
0.4%
112350140 14
 
0.4%
110794340 13
 
0.4%
111511340 13
 
0.4%
Other values (2022) 3436
95.3%
ValueCountFrequency (%)
10010101 1
< 0.1%
10010201 1
< 0.1%
10010301 1
< 0.1%
10010401 1
< 0.1%
10030001 1
< 0.1%
10030101 1
< 0.1%
10030201 1
< 0.1%
10030301 1
< 0.1%
10030401 1
< 0.1%
10040001 2
0.1%
ValueCountFrequency (%)
209630140 1
< 0.1%
200320000 1
< 0.1%
200310061 1
< 0.1%
200290061 2
0.1%
200280061 2
0.1%
200270060 1
< 0.1%
200260000 1
< 0.1%
200250300 1
< 0.1%
200230000 1
< 0.1%
200210300 2
0.1%
Distinct186
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
2024-03-14T18:27:26.967076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length2.7590128
Min length1

Characters and Unicode

Total characters9949
Distinct characters207
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)1.4%

Sample

1st row도정
2nd row도정
3rd row도정
4th row도정
5th row도정
ValueCountFrequency (%)
1154
31.7%
해당없음 961
26.4%
전체 172
 
4.7%
암컷,육 95
 
2.6%
수컷,육 89
 
2.4%
67
 
1.8%
줄기 66
 
1.8%
백미 57
 
1.6%
현미 51
 
1.4%
도정 46
 
1.3%
Other values (177) 884
24.3%
2024-03-14T18:27:28.629890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1364
 
13.7%
961
 
9.7%
961
 
9.7%
961
 
9.7%
961
 
9.7%
, 275
 
2.8%
248
 
2.5%
( 222
 
2.2%
) 222
 
2.2%
211
 
2.1%
Other values (197) 3563
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9186
92.3%
Other Punctuation 275
 
2.8%
Open Punctuation 222
 
2.2%
Close Punctuation 222
 
2.2%
Space Separator 36
 
0.4%
Math Symbol 7
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1364
14.8%
961
 
10.5%
961
 
10.5%
961
 
10.5%
961
 
10.5%
248
 
2.7%
211
 
2.3%
211
 
2.3%
174
 
1.9%
151
 
1.6%
Other values (191) 2983
32.5%
Other Punctuation
ValueCountFrequency (%)
, 275
100.0%
Open Punctuation
ValueCountFrequency (%)
( 222
100.0%
Close Punctuation
ValueCountFrequency (%)
) 222
100.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Math Symbol
ValueCountFrequency (%)
+ 7
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9186
92.3%
Common 763
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1364
14.8%
961
 
10.5%
961
 
10.5%
961
 
10.5%
961
 
10.5%
248
 
2.7%
211
 
2.3%
211
 
2.3%
174
 
1.9%
151
 
1.6%
Other values (191) 2983
32.5%
Common
ValueCountFrequency (%)
, 275
36.0%
( 222
29.1%
) 222
29.1%
36
 
4.7%
+ 7
 
0.9%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9186
92.3%
ASCII 763
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1364
14.8%
961
 
10.5%
961
 
10.5%
961
 
10.5%
961
 
10.5%
248
 
2.7%
211
 
2.3%
211
 
2.3%
174
 
1.9%
151
 
1.6%
Other values (191) 2983
32.5%
ASCII
ValueCountFrequency (%)
, 275
36.0%
( 222
29.1%
) 222
29.1%
36
 
4.7%
+ 7
 
0.9%
3 1
 
0.1%

식품세분류코드
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.612867
Minimum0
Maximum99
Zeros127
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:29.054805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile50
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation19.818494
Coefficient of variation (CV)1.8674024
Kurtosis2.5707934
Mean10.612867
Median Absolute Deviation (MAD)0
Skewness1.927658
Sum38270
Variance392.77269
MonotonicityNot monotonic
2024-03-14T18:27:29.502129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2345
65.0%
2 283
 
7.8%
46 155
 
4.3%
47 140
 
3.9%
0 127
 
3.5%
50 87
 
2.4%
6 62
 
1.7%
49 39
 
1.1%
71 31
 
0.9%
58 23
 
0.6%
Other values (61) 314
 
8.7%
ValueCountFrequency (%)
0 127
 
3.5%
1 2345
65.0%
2 283
 
7.8%
3 3
 
0.1%
4 20
 
0.6%
5 7
 
0.2%
6 62
 
1.7%
8 17
 
0.5%
9 3
 
0.1%
11 8
 
0.2%
ValueCountFrequency (%)
99 2
 
0.1%
97 2
 
0.1%
96 1
 
< 0.1%
93 1
 
< 0.1%
90 1
 
< 0.1%
89 1
 
< 0.1%
88 1
 
< 0.1%
87 2
 
0.1%
86 1
 
< 0.1%
85 6
0.2%
Distinct73
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
2024-03-14T18:27:30.120728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length2
Mean length2.71797
Min length2

Characters and Unicode

Total characters9801
Distinct characters126
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)0.7%

Sample

1st row생것
2nd row생것
3rd row생것
4th row생것
5th row생것
ValueCountFrequency (%)
생것 2345
61.3%
말린것 342
 
8.9%
삶은것 183
 
4.8%
데친것 143
 
3.7%
해당없음 127
 
3.3%
구운것 90
 
2.4%
분말화한것 62
 
1.6%
소금에 43
 
1.1%
찐것 39
 
1.0%
말린것을 31
 
0.8%
Other values (72) 420
 
11.0%
2024-03-14T18:27:31.150590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3403
34.7%
2345
23.9%
454
 
4.6%
423
 
4.3%
219
 
2.2%
215
 
2.2%
211
 
2.2%
150
 
1.5%
143
 
1.5%
129
 
1.3%
Other values (116) 2109
21.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9461
96.5%
Space Separator 219
 
2.2%
Close Punctuation 58
 
0.6%
Open Punctuation 58
 
0.6%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3403
36.0%
2345
24.8%
454
 
4.8%
423
 
4.5%
215
 
2.3%
211
 
2.2%
150
 
1.6%
143
 
1.5%
129
 
1.4%
128
 
1.4%
Other values (112) 1860
19.7%
Space Separator
ValueCountFrequency (%)
219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9461
96.5%
Common 340
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3403
36.0%
2345
24.8%
454
 
4.8%
423
 
4.5%
215
 
2.3%
211
 
2.2%
150
 
1.6%
143
 
1.5%
129
 
1.4%
128
 
1.4%
Other values (112) 1860
19.7%
Common
ValueCountFrequency (%)
219
64.4%
) 58
 
17.1%
( 58
 
17.1%
, 5
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9461
96.5%
ASCII 340
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3403
36.0%
2345
24.8%
454
 
4.8%
423
 
4.5%
215
 
2.3%
211
 
2.2%
150
 
1.6%
143
 
1.5%
129
 
1.4%
128
 
1.4%
Other values (112) 1860
19.7%
ASCII
ValueCountFrequency (%)
219
64.4%
) 58
 
17.1%
( 58
 
17.1%
, 5
 
1.5%

영양성분함량기준량
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
100g
3583 
100ml
 
23

Length

Max length5
Median length4
Mean length4.0063783
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100g
2nd row100g
3rd row100g
4th row100g
5th row100g

Common Values

ValueCountFrequency (%)
100g 3583
99.4%
100ml 23
 
0.6%

Length

2024-03-14T18:27:31.374685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:27:31.552081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100g 3583
99.4%
100ml 23
 
0.6%

에너지(kcal)
Real number (ℝ)

Distinct482
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.33361
Minimum0
Maximum921
Zeros11
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:31.749149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q168
median111
Q3195
95-th percentile375
Maximum921
Range921
Interquartile range (IQR)127

Descriptive statistics

Standard deviation132.91153
Coefficient of variation (CV)0.86681274
Kurtosis6.5148926
Mean153.33361
Median Absolute Deviation (MAD)60
Skewness2.0163536
Sum552921
Variance17665.474
MonotonicityNot monotonic
2024-03-14T18:27:32.141157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92 37
 
1.0%
85 36
 
1.0%
88 31
 
0.9%
90 31
 
0.9%
21 30
 
0.8%
93 30
 
0.8%
86 30
 
0.8%
15 28
 
0.8%
95 28
 
0.8%
89 27
 
0.7%
Other values (472) 3298
91.5%
ValueCountFrequency (%)
0 11
0.3%
1 6
0.2%
2 7
0.2%
3 2
 
0.1%
4 3
 
0.1%
5 1
 
< 0.1%
6 2
 
0.1%
7 2
 
0.1%
8 2
 
0.1%
9 3
 
0.1%
ValueCountFrequency (%)
921 2
0.1%
920 3
0.1%
919 2
0.1%
918 1
 
< 0.1%
917 4
0.1%
915 2
0.1%
911 1
 
< 0.1%
902 1
 
< 0.1%
900 1
 
< 0.1%
892 1
 
< 0.1%

수분(g)
Real number (ℝ)

Distinct727
Distinct (%)20.2%
Missing10
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean65.385206
Minimum0
Maximum816
Zeros18
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:32.548789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.475
Q160.1
median75.4
Q382.2
95-th percentile93
Maximum816
Range816
Interquartile range (IQR)22.1

Descriptive statistics

Standard deviation32.144507
Coefficient of variation (CV)0.49161744
Kurtosis137.20951
Mean65.385206
Median Absolute Deviation (MAD)10
Skewness5.3949151
Sum235125.2
Variance1033.2694
MonotonicityNot monotonic
2024-03-14T18:27:33.010541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.5 23
 
0.6%
77.2 23
 
0.6%
78.6 22
 
0.6%
77.3 21
 
0.6%
78.4 20
 
0.6%
77.5 20
 
0.6%
78.7 20
 
0.6%
77.4 19
 
0.5%
78.5 19
 
0.5%
0.0 18
 
0.5%
Other values (717) 3391
94.0%
ValueCountFrequency (%)
0.0 18
0.5%
0.1 4
 
0.1%
0.2 5
 
0.1%
0.3 3
 
0.1%
0.5 1
 
< 0.1%
0.7 1
 
< 0.1%
0.8 1
 
< 0.1%
0.9 2
 
0.1%
1.0 1
 
< 0.1%
1.2 2
 
0.1%
ValueCountFrequency (%)
816.0 1
 
< 0.1%
745.0 1
 
< 0.1%
100.0 1
 
< 0.1%
99.9 9
0.2%
99.8 3
 
0.1%
99.7 2
 
0.1%
99.6 1
 
< 0.1%
99.5 2
 
0.1%
99.4 5
0.1%
99.1 1
 
< 0.1%

단백질(g)
Real number (ℝ)

ZEROS 

Distinct1626
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.088156
Minimum0
Maximum215
Zeros44
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:33.444805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5425
Q13.8225
median15.415
Q319.625
95-th percentile28.735
Maximum215
Range215
Interquartile range (IQR)15.8025

Descriptive statistics

Standard deviation11.966501
Coefficient of variation (CV)0.84940149
Kurtosis35.395827
Mean14.088156
Median Absolute Deviation (MAD)6.485
Skewness3.3331857
Sum50801.89
Variance143.19714
MonotonicityNot monotonic
2024-03-14T18:27:33.864043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 44
 
1.2%
1.0 21
 
0.6%
1.1 19
 
0.5%
18.5 18
 
0.5%
18.9 17
 
0.5%
17.5 15
 
0.4%
2.3 14
 
0.4%
17.0 14
 
0.4%
16.3 14
 
0.4%
0.6 14
 
0.4%
Other values (1616) 3416
94.7%
ValueCountFrequency (%)
0.0 44
1.2%
0.01 2
 
0.1%
0.02 4
 
0.1%
0.03 3
 
0.1%
0.05 1
 
< 0.1%
0.06 1
 
< 0.1%
0.07 3
 
0.1%
0.08 2
 
0.1%
0.1 8
 
0.2%
0.11 1
 
< 0.1%
ValueCountFrequency (%)
215.0 1
< 0.1%
175.0 1
< 0.1%
85.44 1
< 0.1%
83.44 1
< 0.1%
82.7 1
< 0.1%
82.4 1
< 0.1%
82.26 1
< 0.1%
81.0 1
< 0.1%
78.31 1
< 0.1%
77.6 2
0.1%

지방(g)
Real number (ℝ)

ZEROS 

Distinct1056
Distinct (%)29.4%
Missing18
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean5.1950111
Minimum0
Maximum293.9
Zeros62
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:34.459578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.08
Q10.43
median1.4
Q34.835
95-th percentile21.585
Maximum293.9
Range293.9
Interquartile range (IQR)4.405

Descriptive statistics

Standard deviation12.156747
Coefficient of variation (CV)2.340081
Kurtosis114.11304
Mean5.1950111
Median Absolute Deviation (MAD)1.2
Skewness7.8796356
Sum18639.7
Variance147.7865
MonotonicityNot monotonic
2024-03-14T18:27:34.891942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1 130
 
3.6%
0.2 101
 
2.8%
0.5 66
 
1.8%
0.3 63
 
1.7%
0.0 62
 
1.7%
0.7 58
 
1.6%
0.6 49
 
1.4%
0.4 49
 
1.4%
1.0 48
 
1.3%
0.9 35
 
1.0%
Other values (1046) 2927
81.2%
ValueCountFrequency (%)
0.0 62
1.7%
0.01 12
 
0.3%
0.02 11
 
0.3%
0.03 13
 
0.4%
0.04 27
0.7%
0.05 26
0.7%
0.06 13
 
0.4%
0.07 14
 
0.4%
0.08 18
 
0.5%
0.09 19
 
0.5%
ValueCountFrequency (%)
293.9 1
 
< 0.1%
100.0 7
0.2%
99.98 1
 
< 0.1%
99.95 1
 
< 0.1%
99.93 1
 
< 0.1%
99.86 1
 
< 0.1%
99.85 1
 
< 0.1%
99.8 2
 
0.1%
99.76 1
 
< 0.1%
99.74 1
 
< 0.1%

회분(g)
Real number (ℝ)

MISSING 

Distinct591
Distinct (%)16.6%
Missing42
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean2.5408866
Minimum0
Maximum99.7
Zeros24
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:35.321016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q10.86
median1.27
Q31.96
95-th percentile8.5
Maximum99.7
Range99.7
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation5.9052895
Coefficient of variation (CV)2.3241058
Kurtosis135.67254
Mean2.5408866
Median Absolute Deviation (MAD)0.49
Skewness10.059013
Sum9055.72
Variance34.872444
MonotonicityNot monotonic
2024-03-14T18:27:35.764715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.3 119
 
3.3%
1.2 98
 
2.7%
1.4 86
 
2.4%
1.5 71
 
2.0%
1.1 65
 
1.8%
1.0 57
 
1.6%
0.9 55
 
1.5%
0.7 51
 
1.4%
1.6 47
 
1.3%
1.7 47
 
1.3%
Other values (581) 2868
79.5%
(Missing) 42
 
1.2%
ValueCountFrequency (%)
0.0 24
0.7%
0.01 4
 
0.1%
0.02 3
 
0.1%
0.03 5
 
0.1%
0.04 2
 
0.1%
0.05 6
 
0.2%
0.06 2
 
0.1%
0.07 4
 
0.1%
0.08 2
 
0.1%
0.09 6
 
0.2%
ValueCountFrequency (%)
99.7 1
< 0.1%
93.0 1
< 0.1%
92.39 1
< 0.1%
91.81 1
< 0.1%
91.23 1
< 0.1%
91.1 1
< 0.1%
91.0 1
< 0.1%
90.3 1
< 0.1%
84.4 1
< 0.1%
46.18 1
< 0.1%

탄수화물(g)
Real number (ℝ)

ZEROS 

Distinct1455
Distinct (%)40.7%
Missing27
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean13.54154
Minimum0
Maximum99.95
Zeros877
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:36.187135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04
median2.8
Q312.625
95-th percentile74.546
Maximum99.95
Range99.95
Interquartile range (IQR)12.585

Descriptive statistics

Standard deviation23.099894
Coefficient of variation (CV)1.7058543
Kurtosis2.4265384
Mean13.54154
Median Absolute Deviation (MAD)2.8
Skewness1.9288982
Sum48465.17
Variance533.6051
MonotonicityNot monotonic
2024-03-14T18:27:36.639052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 877
 
24.3%
0.1 100
 
2.8%
0.2 63
 
1.7%
0.3 56
 
1.6%
0.5 37
 
1.0%
0.4 28
 
0.8%
0.6 23
 
0.6%
0.8 18
 
0.5%
0.7 16
 
0.4%
1.0 14
 
0.4%
Other values (1445) 2347
65.1%
(Missing) 27
 
0.7%
ValueCountFrequency (%)
0.0 877
24.3%
0.01 4
 
0.1%
0.02 7
 
0.2%
0.03 5
 
0.1%
0.04 3
 
0.1%
0.05 8
 
0.2%
0.06 3
 
0.1%
0.07 4
 
0.1%
0.08 3
 
0.1%
0.09 2
 
0.1%
ValueCountFrequency (%)
99.95 1
< 0.1%
99.8 2
0.1%
99.77 1
< 0.1%
99.66 1
< 0.1%
97.97 1
< 0.1%
93.8 1
< 0.1%
91.0 1
< 0.1%
89.6 1
< 0.1%
89.3 1
< 0.1%
89.0 1
< 0.1%

당류(g)
Real number (ℝ)

MISSING  ZEROS 

Distinct545
Distinct (%)29.4%
Missing1751
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean3.2278221
Minimum0
Maximum99.9
Zeros659
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:37.065724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.36
Q32.23
95-th percentile12.344
Maximum99.9
Range99.9
Interquartile range (IQR)2.23

Descriptive statistics

Standard deviation9.9246973
Coefficient of variation (CV)3.0747349
Kurtosis44.221417
Mean3.2278221
Median Absolute Deviation (MAD)0.36
Skewness6.1445579
Sum5987.61
Variance98.499617
MonotonicityNot monotonic
2024-03-14T18:27:37.513117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 659
 
18.3%
0.1 57
 
1.6%
0.3 38
 
1.1%
0.2 36
 
1.0%
0.5 27
 
0.7%
0.4 19
 
0.5%
0.8 12
 
0.3%
0.6 11
 
0.3%
0.7 10
 
0.3%
0.12 9
 
0.2%
Other values (535) 977
27.1%
(Missing) 1751
48.6%
ValueCountFrequency (%)
0.0 659
18.3%
0.01 6
 
0.2%
0.02 5
 
0.1%
0.03 5
 
0.1%
0.04 7
 
0.2%
0.05 6
 
0.2%
0.06 1
 
< 0.1%
0.07 6
 
0.2%
0.08 6
 
0.2%
0.09 2
 
0.1%
ValueCountFrequency (%)
99.9 1
< 0.1%
99.7 1
< 0.1%
99.5 1
< 0.1%
98.29 1
< 0.1%
97.81 1
< 0.1%
92.85 1
< 0.1%
88.2 1
< 0.1%
75.96 1
< 0.1%
74.68 1
< 0.1%
74.6 1
< 0.1%

식이섬유(g)
Real number (ℝ)

MISSING  ZEROS 

Distinct225
Distinct (%)11.0%
Missing1567
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean3.4465915
Minimum0
Maximum79.9
Zeros1032
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:37.936414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.4
95-th percentile17.24
Maximum79.9
Range79.9
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation7.8878969
Coefficient of variation (CV)2.288608
Kurtosis26.122656
Mean3.4465915
Median Absolute Deviation (MAD)0
Skewness4.5340235
Sum7027.6
Variance62.218917
MonotonicityNot monotonic
2024-03-14T18:27:38.396286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1032
28.6%
2.7 29
 
0.8%
1.7 26
 
0.7%
2.2 22
 
0.6%
1.4 21
 
0.6%
1.3 21
 
0.6%
2.4 20
 
0.6%
1.5 20
 
0.6%
1.8 19
 
0.5%
2.0 19
 
0.5%
Other values (215) 810
22.5%
(Missing) 1567
43.5%
ValueCountFrequency (%)
0.0 1032
28.6%
0.1 1
 
< 0.1%
0.2 6
 
0.2%
0.3 10
 
0.3%
0.4 8
 
0.2%
0.5 8
 
0.2%
0.6 11
 
0.3%
0.7 6
 
0.2%
0.8 9
 
0.2%
0.9 16
 
0.4%
ValueCountFrequency (%)
79.9 1
< 0.1%
77.9 1
< 0.1%
74.4 1
< 0.1%
63.0 1
< 0.1%
61.4 1
< 0.1%
60.9 1
< 0.1%
57.2 2
0.1%
56.6 1
< 0.1%
54.8 1
< 0.1%
53.0 1
< 0.1%

칼슘(mg)
Real number (ℝ)

MISSING 

Distinct433
Distinct (%)16.3%
Missing953
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean115.16359
Minimum0
Maximum8800
Zeros7
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:38.830748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median26
Q380
95-th percentile593.2
Maximum8800
Range8800
Interquartile range (IQR)71

Descriptive statistics

Standard deviation334.64978
Coefficient of variation (CV)2.9058645
Kurtosis205.04243
Mean115.16359
Median Absolute Deviation (MAD)21
Skewness10.772128
Sum305529
Variance111990.48
MonotonicityNot monotonic
2024-03-14T18:27:39.248147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 134
 
3.7%
4 100
 
2.8%
7 96
 
2.7%
6 87
 
2.4%
3 80
 
2.2%
8 72
 
2.0%
11 61
 
1.7%
14 61
 
1.7%
10 60
 
1.7%
9 55
 
1.5%
Other values (423) 1847
51.2%
(Missing) 953
26.4%
ValueCountFrequency (%)
0 7
 
0.2%
1 32
 
0.9%
2 45
 
1.2%
3 80
2.2%
4 100
2.8%
5 134
3.7%
6 87
2.4%
7 96
2.7%
8 72
2.0%
9 55
1.5%
ValueCountFrequency (%)
8800 1
< 0.1%
4668 1
< 0.1%
4068 1
< 0.1%
3750 1
< 0.1%
2767 1
< 0.1%
2705 2
0.1%
2430 1
< 0.1%
2410 1
< 0.1%
2066 1
< 0.1%
1905 1
< 0.1%

철(mg)
Real number (ℝ)

MISSING 

Distinct644
Distinct (%)24.2%
Missing942
Missing (%)26.1%
Infinite0
Infinite (%)0.0%
Mean3.594756
Minimum0
Maximum320
Zeros35
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:39.649785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.12
Q10.56
median1.3
Q32.99
95-th percentile12.485
Maximum320
Range320
Interquartile range (IQR)2.43

Descriptive statistics

Standard deviation11.120643
Coefficient of variation (CV)3.0935737
Kurtosis362.81143
Mean3.594756
Median Absolute Deviation (MAD)0.98
Skewness15.903466
Sum9576.43
Variance123.66869
MonotonicityNot monotonic
2024-03-14T18:27:40.081244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0 49
 
1.4%
0.5 49
 
1.4%
0.6 48
 
1.3%
0.4 47
 
1.3%
1.2 46
 
1.3%
0.8 41
 
1.1%
0.2 41
 
1.1%
0.9 40
 
1.1%
1.1 40
 
1.1%
0.3 40
 
1.1%
Other values (634) 2223
61.6%
(Missing) 942
26.1%
ValueCountFrequency (%)
0.0 35
1.0%
0.01 6
 
0.2%
0.02 7
 
0.2%
0.03 2
 
0.1%
0.04 4
 
0.1%
0.05 6
 
0.2%
0.06 8
 
0.2%
0.07 9
 
0.2%
0.08 5
 
0.1%
0.09 8
 
0.2%
ValueCountFrequency (%)
320.0 1
< 0.1%
240.0 1
< 0.1%
190.7 1
< 0.1%
110.0 1
< 0.1%
107.8 1
< 0.1%
83.1 1
< 0.1%
78.15 1
< 0.1%
76.2 1
< 0.1%
73.4 1
< 0.1%
67.3 1
< 0.1%

인(mg)
Real number (ℝ)

MISSING  ZEROS 

Distinct546
Distinct (%)20.6%
Missing953
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean178.59593
Minimum0
Maximum4860
Zeros63
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:40.497463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q150
median147
Q3231
95-th percentile513.8
Maximum4860
Range4860
Interquartile range (IQR)181

Descriptive statistics

Standard deviation201.07357
Coefficient of variation (CV)1.1258575
Kurtosis116.1242
Mean178.59593
Median Absolute Deviation (MAD)93
Skewness6.5449444
Sum473815
Variance40430.58
MonotonicityNot monotonic
2024-03-14T18:27:40.935237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 63
 
1.7%
21 21
 
0.6%
25 20
 
0.6%
163 19
 
0.5%
24 19
 
0.5%
12 19
 
0.5%
46 18
 
0.5%
23 18
 
0.5%
52 18
 
0.5%
39 17
 
0.5%
Other values (536) 2421
67.1%
(Missing) 953
 
26.4%
ValueCountFrequency (%)
0 63
1.7%
1 11
 
0.3%
2 7
 
0.2%
3 9
 
0.2%
4 10
 
0.3%
5 4
 
0.1%
6 2
 
0.1%
7 3
 
0.1%
8 11
 
0.3%
9 11
 
0.3%
ValueCountFrequency (%)
4860 1
< 0.1%
1536 1
< 0.1%
1465 1
< 0.1%
1461 1
< 0.1%
1429 1
< 0.1%
1357 1
< 0.1%
1200 1
< 0.1%
1156 1
< 0.1%
1155 1
< 0.1%
1154 1
< 0.1%

칼륨(mg)
Real number (ℝ)

MISSING 

Distinct762
Distinct (%)36.8%
Missing1537
Missing (%)42.6%
Infinite0
Infinite (%)0.0%
Mean429.80474
Minimum0
Maximum6405
Zeros14
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:41.341441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.4
Q1181
median285
Q3410
95-th percentile1451.8
Maximum6405
Range6405
Interquartile range (IQR)229

Descriptive statistics

Standard deviation597.01656
Coefficient of variation (CV)1.3890414
Kurtosis25.22439
Mean429.80474
Median Absolute Deviation (MAD)110
Skewness4.4231421
Sum889266
Variance356428.78
MonotonicityNot monotonic
2024-03-14T18:27:41.777157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230 15
 
0.4%
0 14
 
0.4%
200 13
 
0.4%
298 12
 
0.3%
290 12
 
0.3%
304 11
 
0.3%
240 11
 
0.3%
271 11
 
0.3%
210 10
 
0.3%
308 10
 
0.3%
Other values (752) 1950
54.1%
(Missing) 1537
42.6%
ValueCountFrequency (%)
0 14
0.4%
1 3
 
0.1%
2 7
0.2%
3 2
 
0.1%
4 3
 
0.1%
5 3
 
0.1%
6 2
 
0.1%
7 2
 
0.1%
8 5
 
0.1%
9 4
 
0.1%
ValueCountFrequency (%)
6405 1
< 0.1%
5512 1
< 0.1%
5380 1
< 0.1%
5374 1
< 0.1%
5305 1
< 0.1%
5140 1
< 0.1%
4939 1
< 0.1%
4395 1
< 0.1%
4258 1
< 0.1%
3780 1
< 0.1%

나트륨(mg)
Real number (ℝ)

MISSING  ZEROS 

Distinct352
Distinct (%)17.0%
Missing1533
Missing (%)42.5%
Infinite0
Infinite (%)0.0%
Mean305.98505
Minimum0
Maximum40626
Zeros183
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:42.198155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q361
95-th percentile670
Maximum40626
Range40626
Interquartile range (IQR)59

Descriptive statistics

Standard deviation2450.7463
Coefficient of variation (CV)8.0093661
Kurtosis198.97758
Mean305.98505
Median Absolute Deviation (MAD)13
Skewness13.765438
Sum634307
Variance6006157.2
MonotonicityNot monotonic
2024-03-14T18:27:42.653280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 223
 
6.2%
0 183
 
5.1%
2 169
 
4.7%
3 101
 
2.8%
4 81
 
2.2%
5 65
 
1.8%
6 59
 
1.6%
7 45
 
1.2%
51 25
 
0.7%
11 24
 
0.7%
Other values (342) 1098
30.4%
(Missing) 1533
42.5%
ValueCountFrequency (%)
0 183
5.1%
1 223
6.2%
2 169
4.7%
3 101
2.8%
4 81
 
2.2%
5 65
 
1.8%
6 59
 
1.6%
7 45
 
1.2%
8 20
 
0.6%
9 20
 
0.6%
ValueCountFrequency (%)
40626 1
< 0.1%
39612 1
< 0.1%
38659 1
< 0.1%
36693 1
< 0.1%
34205 1
< 0.1%
33811 1
< 0.1%
33597 1
< 0.1%
33417 1
< 0.1%
32220 1
< 0.1%
13000 1
< 0.1%

비타민 A(μg RAE)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct325
Distinct (%)15.8%
Missing1547
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean161.33609
Minimum0
Maximum45045
Zeros695
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:43.272995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q325
95-th percentile405.7
Maximum45045
Range45045
Interquartile range (IQR)25

Descriptive statistics

Standard deviation1341.4112
Coefficient of variation (CV)8.3143901
Kurtosis654.356
Mean161.33609
Median Absolute Deviation (MAD)3
Skewness22.319626
Sum332191
Variance1799383.9
MonotonicityNot monotonic
2024-03-14T18:27:43.690907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 695
19.3%
1 167
 
4.6%
2 103
 
2.9%
3 78
 
2.2%
4 73
 
2.0%
5 63
 
1.7%
6 46
 
1.3%
9 42
 
1.2%
7 38
 
1.1%
8 32
 
0.9%
Other values (315) 722
20.0%
(Missing) 1547
42.9%
ValueCountFrequency (%)
0 695
19.3%
1 167
 
4.6%
2 103
 
2.9%
3 78
 
2.2%
4 73
 
2.0%
5 63
 
1.7%
6 46
 
1.3%
7 38
 
1.1%
8 32
 
0.9%
9 42
 
1.2%
ValueCountFrequency (%)
45045 1
< 0.1%
21144 1
< 0.1%
13453 1
< 0.1%
12603 1
< 0.1%
11706 1
< 0.1%
10238 1
< 0.1%
9442 1
< 0.1%
9309 1
< 0.1%
7743 1
< 0.1%
7508 1
< 0.1%

레티놀(μg)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct145
Distinct (%)6.0%
Missing1189
Missing (%)33.0%
Infinite0
Infinite (%)0.0%
Mean102.26148
Minimum0
Maximum45045
Zeros1650
Zeros (%)45.8%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:44.101643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile47.2
Maximum45045
Range45045
Interquartile range (IQR)5

Descriptive statistics

Standard deviation1248.2687
Coefficient of variation (CV)12.206636
Kurtosis749.05001
Mean102.26148
Median Absolute Deviation (MAD)0
Skewness23.89885
Sum247166
Variance1558174.7
MonotonicityNot monotonic
2024-03-14T18:27:44.522160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1650
45.8%
5 57
 
1.6%
3 54
 
1.5%
9 51
 
1.4%
6 49
 
1.4%
4 46
 
1.3%
8 40
 
1.1%
12 31
 
0.9%
11 30
 
0.8%
10 28
 
0.8%
Other values (135) 381
 
10.6%
(Missing) 1189
33.0%
ValueCountFrequency (%)
0 1650
45.8%
1 11
 
0.3%
2 28
 
0.8%
3 54
 
1.5%
4 46
 
1.3%
5 57
 
1.6%
6 49
 
1.4%
7 24
 
0.7%
8 40
 
1.1%
9 51
 
1.4%
ValueCountFrequency (%)
45045 1
< 0.1%
21140 1
< 0.1%
13444 1
< 0.1%
12595 1
< 0.1%
11705 1
< 0.1%
10231 1
< 0.1%
9428 1
< 0.1%
9309 1
< 0.1%
8300 1
< 0.1%
7728 1
< 0.1%

베타카로틴(μg)
Real number (ℝ)

MISSING  ZEROS 

Distinct527
Distinct (%)27.4%
Missing1685
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean682.7949
Minimum0
Maximum47375
Zeros869
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:44.928641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q3110
95-th percentile3678
Maximum47375
Range47375
Interquartile range (IQR)110

Descriptive statistics

Standard deviation2530.1944
Coefficient of variation (CV)3.7056434
Kurtosis100.11756
Mean682.7949
Median Absolute Deviation (MAD)3
Skewness8.2980269
Sum1311649
Variance6401883.8
MonotonicityNot monotonic
2024-03-14T18:27:45.353403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 869
24.1%
2 43
 
1.2%
1 30
 
0.8%
4 28
 
0.8%
3 27
 
0.7%
6 25
 
0.7%
8 23
 
0.6%
7 22
 
0.6%
9 20
 
0.6%
5 19
 
0.5%
Other values (517) 815
22.6%
(Missing) 1685
46.7%
ValueCountFrequency (%)
0 869
24.1%
1 30
 
0.8%
2 43
 
1.2%
3 27
 
0.7%
4 28
 
0.8%
5 19
 
0.5%
6 25
 
0.7%
7 22
 
0.6%
8 23
 
0.6%
9 20
 
0.6%
ValueCountFrequency (%)
47375 1
< 0.1%
32600 1
< 0.1%
27677 1
< 0.1%
25401 1
< 0.1%
21810 1
< 0.1%
20815 1
< 0.1%
20249 1
< 0.1%
19566 1
< 0.1%
19264 1
< 0.1%
18118 1
< 0.1%

티아민(mg)
Real number (ℝ)

MISSING  ZEROS 

Distinct480
Distinct (%)19.3%
Missing1125
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean0.17948489
Minimum0
Maximum8.81
Zeros149
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:45.767372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04
median0.087
Q30.19
95-th percentile0.627
Maximum8.81
Range8.81
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.3685877
Coefficient of variation (CV)2.0535863
Kurtosis201.37885
Mean0.17948489
Median Absolute Deviation (MAD)0.059
Skewness11.471534
Sum445.302
Variance0.13585689
MonotonicityNot monotonic
2024-03-14T18:27:46.202178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 149
 
4.1%
0.05 82
 
2.3%
0.03 78
 
2.2%
0.02 76
 
2.1%
0.06 72
 
2.0%
0.07 71
 
2.0%
0.04 70
 
1.9%
0.1 69
 
1.9%
0.08 62
 
1.7%
0.01 52
 
1.4%
Other values (470) 1700
47.1%
(Missing) 1125
31.2%
ValueCountFrequency (%)
0.0 149
4.1%
0.002 2
 
0.1%
0.003 2
 
0.1%
0.004 3
 
0.1%
0.005 2
 
0.1%
0.006 6
 
0.2%
0.007 4
 
0.1%
0.008 1
 
< 0.1%
0.009 10
 
0.3%
0.01 52
 
1.4%
ValueCountFrequency (%)
8.81 1
< 0.1%
6.0 1
< 0.1%
5.91 1
< 0.1%
5.76 1
< 0.1%
4.261 1
< 0.1%
3.51 1
< 0.1%
2.866 1
< 0.1%
2.42 1
< 0.1%
2.4 1
< 0.1%
2.04 1
< 0.1%

리보플라빈(mg)
Real number (ℝ)

MISSING  ZEROS 

Distinct531
Distinct (%)21.4%
Missing1124
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean0.24818493
Minimum0
Maximum8
Zeros92
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:46.618220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.008
Q10.051
median0.12
Q30.23
95-th percentile0.92975
Maximum8
Range8
Interquartile range (IQR)0.179

Descriptive statistics

Standard deviation0.50685483
Coefficient of variation (CV)2.0422466
Kurtosis55.801986
Mean0.24818493
Median Absolute Deviation (MAD)0.08
Skewness6.2689157
Sum615.995
Variance0.25690182
MonotonicityNot monotonic
2024-03-14T18:27:47.083162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 92
 
2.6%
0.1 64
 
1.8%
0.03 59
 
1.6%
0.15 56
 
1.6%
0.12 55
 
1.5%
0.02 54
 
1.5%
0.09 51
 
1.4%
0.13 48
 
1.3%
0.2 47
 
1.3%
0.01 46
 
1.3%
Other values (521) 1910
53.0%
(Missing) 1124
31.2%
ValueCountFrequency (%)
0.0 92
2.6%
0.001 1
 
< 0.1%
0.002 2
 
0.1%
0.003 9
 
0.2%
0.004 6
 
0.2%
0.005 4
 
0.1%
0.006 5
 
0.1%
0.007 5
 
0.1%
0.008 6
 
0.2%
0.009 7
 
0.2%
ValueCountFrequency (%)
8.0 1
< 0.1%
6.0 2
0.1%
5.63 1
< 0.1%
4.885 1
< 0.1%
4.07 1
< 0.1%
4.03 1
< 0.1%
3.96 1
< 0.1%
3.72 1
< 0.1%
3.63 1
< 0.1%
3.425 2
0.1%

니아신(mg)
Real number (ℝ)

MISSING  ZEROS 

Distinct1139
Distinct (%)47.2%
Missing1195
Missing (%)33.1%
Infinite0
Infinite (%)0.0%
Mean2.6386678
Minimum0
Maximum51.4
Zeros81
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:47.519324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.049
Q10.4385
median1.663
Q33.444
95-th percentile8.477
Maximum51.4
Range51.4
Interquartile range (IQR)3.0055

Descriptive statistics

Standard deviation3.5032752
Coefficient of variation (CV)1.3276682
Kurtosis38.158652
Mean2.6386678
Median Absolute Deviation (MAD)1.337
Skewness4.4637741
Sum6361.828
Variance12.272937
MonotonicityNot monotonic
2024-03-14T18:27:47.961239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 81
 
2.2%
0.4 46
 
1.3%
0.3 40
 
1.1%
0.5 34
 
0.9%
1.0 31
 
0.9%
0.6 30
 
0.8%
3.0 29
 
0.8%
0.8 28
 
0.8%
0.2 28
 
0.8%
2.6 27
 
0.7%
Other values (1129) 2037
56.5%
(Missing) 1195
33.1%
ValueCountFrequency (%)
0.0 81
2.2%
0.002 2
 
0.1%
0.013 1
 
< 0.1%
0.016 3
 
0.1%
0.017 3
 
0.1%
0.018 2
 
0.1%
0.019 2
 
0.1%
0.02 1
 
< 0.1%
0.022 3
 
0.1%
0.024 1
 
< 0.1%
ValueCountFrequency (%)
51.4 1
< 0.1%
46.3 1
< 0.1%
38.4 1
< 0.1%
31.0 1
< 0.1%
29.4 1
< 0.1%
28.0 1
< 0.1%
27.5 1
< 0.1%
26.0 1
< 0.1%
23.0 1
< 0.1%
22.0 1
< 0.1%

비타민 C(mg)
Real number (ℝ)

MISSING  ZEROS 

Distinct683
Distinct (%)28.5%
Missing1211
Missing (%)33.6%
Infinite0
Infinite (%)0.0%
Mean9.7029687
Minimum0
Maximum800
Zeros880
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:48.377865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile51.189
Maximum800
Range800
Interquartile range (IQR)6

Descriptive statistics

Standard deviation29.336179
Coefficient of variation (CV)3.023423
Kurtosis233.8438
Mean9.7029687
Median Absolute Deviation (MAD)1
Skewness10.993957
Sum23238.61
Variance860.61138
MonotonicityNot monotonic
2024-03-14T18:27:48.828151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 880
24.4%
1.0 195
 
5.4%
2.0 83
 
2.3%
3.0 27
 
0.7%
5.0 23
 
0.6%
4.0 22
 
0.6%
6.0 20
 
0.6%
10.0 14
 
0.4%
7.0 12
 
0.3%
11.0 12
 
0.3%
Other values (673) 1107
30.7%
(Missing) 1211
33.6%
ValueCountFrequency (%)
0.0 880
24.4%
0.02 1
 
< 0.1%
0.03 3
 
0.1%
0.04 2
 
0.1%
0.05 1
 
< 0.1%
0.06 5
 
0.1%
0.07 1
 
< 0.1%
0.08 3
 
0.1%
0.09 2
 
0.1%
0.1 2
 
0.1%
ValueCountFrequency (%)
800.0 1
< 0.1%
253.0 1
< 0.1%
246.0 1
< 0.1%
244.0 1
< 0.1%
225.0 1
< 0.1%
220.0 1
< 0.1%
219.13 1
< 0.1%
216.76 1
< 0.1%
202.75 1
< 0.1%
191.02 1
< 0.1%

비타민 D(μg)
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct184
Distinct (%)12.3%
Missing2114
Missing (%)58.6%
Infinite0
Infinite (%)0.0%
Mean2.4304625
Minimum0
Maximum1097
Zeros1222
Zeros (%)33.9%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:49.191751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.545
Maximum1097
Range1097
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.053624
Coefficient of variation (CV)14.011171
Kurtosis802.68533
Mean2.4304625
Median Absolute Deviation (MAD)0
Skewness27.104907
Sum3626.25
Variance1159.6493
MonotonicityNot monotonic
2024-03-14T18:27:49.513309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1222
33.9%
0.6 8
 
0.2%
0.1 8
 
0.2%
0.3 7
 
0.2%
12.0 6
 
0.2%
5.0 5
 
0.1%
0.59 4
 
0.1%
1.2 4
 
0.1%
0.4 4
 
0.1%
1.1 4
 
0.1%
Other values (174) 220
 
6.1%
(Missing) 2114
58.6%
ValueCountFrequency (%)
0.0 1222
33.9%
0.1 8
 
0.2%
0.11 2
 
0.1%
0.14 1
 
< 0.1%
0.15 1
 
< 0.1%
0.16 1
 
< 0.1%
0.2 2
 
0.1%
0.21 2
 
0.1%
0.22 1
 
< 0.1%
0.23 1
 
< 0.1%
ValueCountFrequency (%)
1097.0 1
< 0.1%
644.73 1
< 0.1%
231.0 1
< 0.1%
151.34 1
< 0.1%
100.0 1
< 0.1%
77.59 1
< 0.1%
68.81 1
< 0.1%
62.33 1
< 0.1%
48.0 1
< 0.1%
38.0 1
< 0.1%

콜레스테롤(mg)
Real number (ℝ)

MISSING  ZEROS 

Distinct400
Distinct (%)27.0%
Missing2126
Missing (%)59.0%
Infinite0
Infinite (%)0.0%
Mean37.271858
Minimum0
Maximum3100
Zeros1032
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:49.922563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q355.1275
95-th percentile119.658
Maximum3100
Range3100
Interquartile range (IQR)55.1275

Descriptive statistics

Standard deviation127.32359
Coefficient of variation (CV)3.4160784
Kurtosis250.56118
Mean37.271858
Median Absolute Deviation (MAD)0
Skewness12.654367
Sum55162.35
Variance16211.296
MonotonicityNot monotonic
2024-03-14T18:27:50.355748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1032
28.6%
60.0 5
 
0.1%
59.0 4
 
0.1%
72.0 4
 
0.1%
63.0 3
 
0.1%
78.0 3
 
0.1%
80.0 3
 
0.1%
2.0 3
 
0.1%
81.0 3
 
0.1%
75.0 3
 
0.1%
Other values (390) 417
 
11.6%
(Missing) 2126
59.0%
ValueCountFrequency (%)
0.0 1032
28.6%
0.11 1
 
< 0.1%
0.36 1
 
< 0.1%
0.4 1
 
< 0.1%
0.85 1
 
< 0.1%
1.04 1
 
< 0.1%
2.0 3
 
0.1%
9.69 1
 
< 0.1%
15.0 1
 
< 0.1%
16.47 1
 
< 0.1%
ValueCountFrequency (%)
3100.0 1
< 0.1%
1590.0 1
< 0.1%
1040.92 1
< 0.1%
980.39 1
< 0.1%
800.0 1
< 0.1%
791.4 1
< 0.1%
791.0 1
< 0.1%
782.59 1
< 0.1%
743.17 1
< 0.1%
716.0 1
< 0.1%

포화지방산(g)
Real number (ℝ)

MISSING 

Distinct491
Distinct (%)31.1%
Missing2027
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean1.9508993
Minimum0
Maximum88.03
Zeros35
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:50.778492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.05
median0.3
Q32.205
95-th percentile8.775
Maximum88.03
Range88.03
Interquartile range (IQR)2.155

Descriptive statistics

Standard deviation4.4876996
Coefficient of variation (CV)2.3003236
Kurtosis116.77431
Mean1.9508993
Median Absolute Deviation (MAD)0.28
Skewness8.3003244
Sum3080.47
Variance20.139448
MonotonicityNot monotonic
2024-03-14T18:27:51.389513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.02 113
 
3.1%
0.01 80
 
2.2%
0.03 73
 
2.0%
0.04 69
 
1.9%
0.05 64
 
1.8%
0.07 39
 
1.1%
0.06 37
 
1.0%
0.0 35
 
1.0%
0.08 24
 
0.7%
0.13 20
 
0.6%
Other values (481) 1025
28.4%
(Missing) 2027
56.2%
ValueCountFrequency (%)
0.0 35
 
1.0%
0.01 80
2.2%
0.02 113
3.1%
0.03 73
2.0%
0.04 69
1.9%
0.05 64
1.8%
0.06 37
 
1.0%
0.07 39
 
1.1%
0.08 24
 
0.7%
0.09 15
 
0.4%
ValueCountFrequency (%)
88.03 1
< 0.1%
57.22 1
< 0.1%
46.21 1
< 0.1%
41.68 1
< 0.1%
41.05 1
< 0.1%
37.38 1
< 0.1%
29.8 1
< 0.1%
22.31 1
< 0.1%
21.06 1
< 0.1%
19.87 1
< 0.1%

트랜스지방산(g)
Real number (ℝ)

MISSING  ZEROS 

Distinct76
Distinct (%)5.7%
Missing2272
Missing (%)63.0%
Infinite0
Infinite (%)0.0%
Mean0.069625187
Minimum0
Maximum3.98
Zeros835
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:51.810006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.03
95-th percentile0.42
Maximum3.98
Range3.98
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.19301457
Coefficient of variation (CV)2.7721946
Kurtosis138.21382
Mean0.069625187
Median Absolute Deviation (MAD)0
Skewness8.6049725
Sum92.88
Variance0.037254623
MonotonicityNot monotonic
2024-03-14T18:27:52.277803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 835
 
23.2%
0.01 103
 
2.9%
0.02 38
 
1.1%
0.03 33
 
0.9%
0.09 16
 
0.4%
0.05 14
 
0.4%
0.06 14
 
0.4%
0.04 14
 
0.4%
0.11 12
 
0.3%
0.14 11
 
0.3%
Other values (66) 244
 
6.8%
(Missing) 2272
63.0%
ValueCountFrequency (%)
0.0 835
23.2%
0.01 103
 
2.9%
0.02 38
 
1.1%
0.03 33
 
0.9%
0.04 14
 
0.4%
0.05 14
 
0.4%
0.06 14
 
0.4%
0.07 9
 
0.2%
0.08 1
 
< 0.1%
0.09 16
 
0.4%
ValueCountFrequency (%)
3.98 1
 
< 0.1%
2.0 1
 
< 0.1%
1.38 2
0.1%
1.02 1
 
< 0.1%
0.98 1
 
< 0.1%
0.8 1
 
< 0.1%
0.78 3
0.1%
0.76 1
 
< 0.1%
0.75 1
 
< 0.1%
0.7 2
0.1%

폐기율(%)
Real number (ℝ)

MISSING  ZEROS 

Distinct75
Distinct (%)4.0%
Missing1717
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean7.1148756
Minimum0
Maximum90
Zeros1379
Zeros (%)38.2%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:52.717627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile45
Maximum90
Range90
Interquartile range (IQR)3

Descriptive statistics

Standard deviation15.429619
Coefficient of variation (CV)2.1686421
Kurtosis6.3274157
Mean7.1148756
Median Absolute Deviation (MAD)0
Skewness2.5280066
Sum13440
Variance238.07313
MonotonicityNot monotonic
2024-03-14T18:27:53.299037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1379
38.2%
15 27
 
0.7%
20 25
 
0.7%
2 18
 
0.5%
35 17
 
0.5%
12 16
 
0.4%
45 15
 
0.4%
25 14
 
0.4%
4 14
 
0.4%
13 14
 
0.4%
Other values (65) 350
 
9.7%
(Missing) 1717
47.6%
ValueCountFrequency (%)
0 1379
38.2%
1 13
 
0.4%
2 18
 
0.5%
3 9
 
0.2%
4 14
 
0.4%
5 10
 
0.3%
6 8
 
0.2%
7 9
 
0.2%
8 10
 
0.3%
9 9
 
0.2%
ValueCountFrequency (%)
90 4
0.1%
84 1
 
< 0.1%
79 2
0.1%
78 2
0.1%
76 2
0.1%
75 2
0.1%
73 1
 
< 0.1%
72 2
0.1%
70 3
0.1%
68 1
 
< 0.1%

출처코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
1
1875 
2
1655 
3
 
76

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1875
52.0%
2 1655
45.9%
3 76
 
2.1%

Length

2024-03-14T18:27:53.763160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:27:54.200643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1875
52.0%
2 1655
45.9%
3 76
 
2.1%

출처명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
농촌진흥청(국가표준식품성분표)
1875 
국립수산과학원(표준수산물성분표)
1655 
식품의약품안전처
 
76

Length

Max length17
Median length16
Mean length16.290349
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농촌진흥청(국가표준식품성분표)
2nd row농촌진흥청(국가표준식품성분표)
3rd row농촌진흥청(국가표준식품성분표)
4th row농촌진흥청(국가표준식품성분표)
5th row농촌진흥청(국가표준식품성분표)

Common Values

ValueCountFrequency (%)
농촌진흥청(국가표준식품성분표) 1875
52.0%
국립수산과학원(표준수산물성분표) 1655
45.9%
식품의약품안전처 76
 
2.1%

Length

2024-03-14T18:27:54.729443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:27:55.211806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농촌진흥청(국가표준식품성분표 1875
52.0%
국립수산과학원(표준수산물성분표 1655
45.9%
식품의약품안전처 76
 
2.1%

원산지국코드
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)0.9%
Missing1797
Missing (%)49.8%
Infinite0
Infinite (%)0.0%
Mean428.92537
Minimum36
Maximum840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:27:55.720391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile410
Q1410
median410
Q3410
95-th percentile578
Maximum840
Range804
Interquartile range (IQR)0

Descriptive statistics

Standard deviation95.51261
Coefficient of variation (CV)0.22267885
Kurtosis12.918281
Mean428.92537
Median Absolute Deviation (MAD)0
Skewness3.2309323
Sum775926
Variance9122.6587
MonotonicityNot monotonic
2024-03-14T18:27:56.245052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
410 1639
45.5%
840 73
 
2.0%
578 20
 
0.6%
392 15
 
0.4%
250 13
 
0.4%
554 13
 
0.4%
156 7
 
0.2%
352 5
 
0.1%
826 4
 
0.1%
724 4
 
0.1%
Other values (7) 16
 
0.4%
(Missing) 1797
49.8%
ValueCountFrequency (%)
36 3
 
0.1%
104 2
 
0.1%
156 7
 
0.2%
250 13
 
0.4%
304 2
 
0.1%
352 5
 
0.1%
356 3
 
0.1%
392 15
 
0.4%
410 1639
45.5%
528 2
 
0.1%
ValueCountFrequency (%)
840 73
 
2.0%
826 4
 
0.1%
724 4
 
0.1%
704 2
 
0.1%
608 2
 
0.1%
578 20
 
0.6%
554 13
 
0.4%
528 2
 
0.1%
410 1639
45.5%
392 15
 
0.4%

수입여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
False
3435 
True
 
171
ValueCountFrequency (%)
False 3435
95.3%
True 171
 
4.7%
2024-03-14T18:27:56.676309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터생성방법명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
분석
3259 
수집
340 
산출
 
7

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분석 3259
90.4%
수집 340
 
9.4%
산출 7
 
0.2%

Length

2024-03-14T18:27:57.212446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:27:57.652818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분석 3259
90.4%
수집 340
 
9.4%
산출 7
 
0.2%

원산지국명
Categorical

IMBALANCE 

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
해당없음
1797 
대한민국
1639 
미국
 
73
노르웨이
 
20
일본
 
15
Other values (13)
 
62

Length

Max length7
Median length4
Mean length3.9409318
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 1797
49.8%
대한민국 1639
45.5%
미국 73
 
2.0%
노르웨이 20
 
0.6%
일본 15
 
0.4%
프랑스 13
 
0.4%
뉴질랜드 13
 
0.4%
중국 7
 
0.2%
아이슬란드 5
 
0.1%
스페인 4
 
0.1%
Other values (8) 20
 
0.6%

Length

2024-03-14T18:27:58.187681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해당없음 1797
49.8%
대한민국 1639
45.5%
미국 73
 
2.0%
노르웨이 20
 
0.6%
일본 15
 
0.4%
프랑스 13
 
0.4%
뉴질랜드 13
 
0.4%
중국 7
 
0.2%
아이슬란드 5
 
0.1%
영국 4
 
0.1%
Other values (8) 20
 
0.6%

원산지역명
Categorical

IMBALANCE 

Distinct49
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
해당없음
1855 
대표
900 
부산
277 
여수
 
130
포항
 
105
Other values (44)
339 

Length

Max length7
Median length4
Mean length3.0496395
Min length2

Unique

Unique11 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 1855
51.4%
대표 900
25.0%
부산 277
 
7.7%
여수 130
 
3.6%
포항 105
 
2.9%
통영 81
 
2.2%
완도 39
 
1.1%
진안 25
 
0.7%
강릉 15
 
0.4%
거제 14
 
0.4%
Other values (39) 165
 
4.6%

Length

2024-03-14T18:27:58.690428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해당없음 1855
51.4%
대표 900
25.0%
부산 277
 
7.7%
여수 130
 
3.6%
포항 105
 
2.9%
통영 81
 
2.2%
완도 39
 
1.1%
진안 25
 
0.7%
강릉 15
 
0.4%
거제 14
 
0.4%
Other values (39) 165
 
4.6%

데이터생성방법코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
1
3259 
2
340 
3
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3259
90.4%
2 340
 
9.4%
3 7
 
0.2%

Length

2024-03-14T18:27:59.180155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:27:59.536869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3259
90.4%
2 340
 
9.4%
3 7
 
0.2%
Distinct68
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
Minimum1974-12-31 00:00:00
Maximum2023-05-03 00:00:00
2024-03-14T18:27:59.867618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:28:00.206537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

생산·채취·포획월
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)1.1%
Missing2506
Missing (%)69.5%
Infinite0
Infinite (%)0.0%
Mean5.9281818
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size31.8 KiB
2024-03-14T18:28:00.423122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q38
95-th percentile11
Maximum12
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.8376332
Coefficient of variation (CV)0.47866839
Kurtosis-0.56210822
Mean5.9281818
Median Absolute Deviation (MAD)2
Skewness0.47962506
Sum6521
Variance8.0521623
MonotonicityNot monotonic
2024-03-14T18:28:00.677749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
6 186
 
5.2%
5 173
 
4.8%
4 142
 
3.9%
3 135
 
3.7%
7 72
 
2.0%
10 72
 
2.0%
8 71
 
2.0%
2 60
 
1.7%
11 56
 
1.6%
9 50
 
1.4%
Other values (2) 83
 
2.3%
(Missing) 2506
69.5%
ValueCountFrequency (%)
1 37
 
1.0%
2 60
 
1.7%
3 135
3.7%
4 142
3.9%
5 173
4.8%
6 186
5.2%
7 72
 
2.0%
8 71
 
2.0%
9 50
 
1.4%
10 72
 
2.0%
ValueCountFrequency (%)
12 46
 
1.3%
11 56
 
1.6%
10 72
 
2.0%
9 50
 
1.4%
8 71
 
2.0%
7 72
 
2.0%
6 186
5.2%
5 173
4.8%
4 142
3.9%
3 135
3.7%
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
Minimum2023-11-27 00:00:00
Maximum2023-12-08 00:00:00
2024-03-14T18:28:01.018687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:28:01.364436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
1390802
1855 
1192266
1751 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1390802
2nd row1390802
3rd row1390802
4th row1390802
5th row1390802

Common Values

ValueCountFrequency (%)
1390802 1855
51.4%
1192266 1751
48.6%

Length

2024-03-14T18:28:01.741434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:28:02.064374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1390802 1855
51.4%
1192266 1751
48.6%

제공기관명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.3 KiB
농촌진흥청 국립농업과학원
1855 
해양수산부 국립수산과학원
1751 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농촌진흥청 국립농업과학원
2nd row농촌진흥청 국립농업과학원
3rd row농촌진흥청 국립농업과학원
4th row농촌진흥청 국립농업과학원
5th row농촌진흥청 국립농업과학원

Common Values

ValueCountFrequency (%)
농촌진흥청 국립농업과학원 1855
51.4%
해양수산부 국립수산과학원 1751
48.6%

Length

2024-03-14T18:28:02.414016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:28:02.723217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농촌진흥청 1855
25.7%
국립농업과학원 1855
25.7%
해양수산부 1751
24.3%
국립수산과학원 1751
24.3%

Sample

식품코드식품명데이터구분코드데이터구분명식품기원코드식품기원명식품대분류코드식품대분류명대표식품코드대표식품명식품중분류코드식품중분류명식품소분류코드식품소분류명식품세분류코드식품세분류명영양성분함량기준량에너지(kcal)수분(g)단백질(g)지방(g)회분(g)탄수화물(g)당류(g)식이섬유(g)칼슘(mg)철(mg)인(mg)칼륨(mg)나트륨(mg)비타민 A(μg RAE)레티놀(μg)베타카로틴(μg)티아민(mg)리보플라빈(mg)니아신(mg)비타민 C(mg)비타민 D(μg)콜레스테롤(mg)포화지방산(g)트랜스지방산(g)폐기율(%)출처코드출처명원산지국코드수입여부데이터생성방법명원산지국명원산지역명데이터생성방법코드데이터생성일자생산·채취·포획월데이터기준일자제공기관코드제공기관명
0R101-003000101-0000기장_도정_생것R원재료성 식품1식물성1곡류1003기장100300해당없음10030001도정1생것100g36011.311.21.91.074.6<NA><NA>152.822623360000.420.092.90.0<NA><NA><NA><NA>01농촌진흥청(국가표준식품성분표)<NA>N분석해당없음해당없음12006-12-31<NA>2023-11-271390802농촌진흥청 국립농업과학원
1R101-003010101-0000기장_찰기장_도정_생것R원재료성 식품1식물성1곡류1003기장100301찰기장10030101도정1생것100g37111.313.633.771.6369.650.464.7214.7837030150050.6340.0681.1620.00.00.00.510.001농촌진흥청(국가표준식품성분표)<NA>N분석해당없음해당없음12019-04-01<NA>2023-11-271390802농촌진흥청 국립농업과학원
2R101-003020101-0000기장_찰기장+이백찰_도정_생것R원재료성 식품1식물성1곡류1003기장100302찰기장+이백찰10030201도정1생것100g37311.213.724.031.5969.490.614.7275.8138536640050.7180.0770.8170.00.00.00.530.001농촌진흥청(국가표준식품성분표)<NA>N분석해당없음해당없음12019-04-01<NA>2023-11-271390802농촌진흥청 국립농업과학원
3R101-003030101-0000기장_찰기장+한라찰_도정_생것R원재료성 식품1식물성1곡류1003기장100303찰기장+한라찰10030301도정1생것100g37311.312.84.351.8169.780.614.7265.4643632870040.6330.0540.8060.00.00.00.590.001농촌진흥청(국가표준식품성분표)<NA>N분석해당없음해당없음12019-04-01<NA>2023-11-271390802농촌진흥청 국립농업과학원
4R101-003040101-0000기장_찰기장+황실찰_도정_생것R원재료성 식품1식물성1곡류1003기장100304찰기장+황실찰10030401도정1생것100g36811.515.553.621.8967.420.614.7235.1437130770040.7690.0730.810.00.00.00.480.001농촌진흥청(국가표준식품성분표)<NA>N분석해당없음해당없음12019-04-01<NA>2023-11-271390802농촌진흥청 국립농업과학원
5R101-004000101-0000메밀_도정_생것R원재료성 식품1식물성1곡류1004메밀100400해당없음10040001도정1생것100g36313.113.643.382.0467.840.36.3212.7845344411070.4580.2555.1890.00.00.00.710.001농촌진흥청(국가표준식품성분표)<NA>N분석해당없음해당없음12014-12-31<NA>2023-11-271390802농촌진흥청 국립농업과학원
6R101-004000106-0000메밀_도정_분말화한것R원재료성 식품1식물성1곡류1004메밀100400해당없음10040001도정6분말화한것100g37410.512.963.291.8971.360.38.5172.9243543211090.3410.2741.7240.00.00.00.70.001농촌진흥청(국가표준식품성분표)<NA>N분석해당없음해당없음12014-12-31<NA>2023-11-271390802농촌진흥청 국립농업과학원
7R101-005000001-0000메밀 국수_생것R원재료성 식품1식물성1곡류1005메밀 국수100500해당없음10050000해당없음1생것100g29128.87.590.961.5161.140.01.9130.59641164550000.0150.050.9980.00.00.00.270.001농촌진흥청(국가표준식품성분표)<NA>N분석해당없음해당없음12014-12-31<NA>2023-11-271390802농촌진흥청 국립농업과학원
8R101-005000002-0000메밀 국수_말린것R원재료성 식품1식물성1곡류1005메밀 국수100500해당없음10050000해당없음2말린것100g3728.313.581.272.4474.412.774.6282.541731987070000.1190.121.4751.070.00.00.380.001농촌진흥청(국가표준식품성분표)<NA>N분석해당없음해당없음12014-12-31<NA>2023-11-271390802농촌진흥청 국립농업과학원
9R101-005000046-0000메밀 국수_삶은것R원재료성 식품1식물성1곡류1005메밀 국수100500해당없음10050000해당없음46삶은것100g12470.13.540.440.1925.730.01.770.28217381060.0090.0180.1490.00.00.00.130.001농촌진흥청(국가표준식품성분표)<NA>N분석해당없음해당없음12014-12-31<NA>2023-11-271390802농촌진흥청 국립농업과학원
식품코드식품명데이터구분코드데이터구분명식품기원코드식품기원명식품대분류코드식품대분류명대표식품코드대표식품명식품중분류코드식품중분류명식품소분류코드식품소분류명식품세분류코드식품세분류명영양성분함량기준량에너지(kcal)수분(g)단백질(g)지방(g)회분(g)탄수화물(g)당류(g)식이섬유(g)칼슘(mg)철(mg)인(mg)칼륨(mg)나트륨(mg)비타민 A(μg RAE)레티놀(μg)베타카로틴(μg)티아민(mg)리보플라빈(mg)니아신(mg)비타민 C(mg)비타민 D(μg)콜레스테롤(mg)포화지방산(g)트랜스지방산(g)폐기율(%)출처코드출처명원산지국코드수입여부데이터생성방법명원산지국명원산지역명데이터생성방법코드데이터생성일자생산·채취·포획월데이터기준일자제공기관코드제공기관명
3596R211-009171601-0004가자미류_기름가자미(25cm미만)_암컷,육_생것_대표_4월R원재료성 식품2동물성11어패류 및 기타 수산물11009가자미류1100917기름가자미(25cm미만)110091716암컷,육1생것100g8780.318.850.751.250.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2국립수산과학원(표준수산물성분표)410N분석대한민국대표12017-11-3042023-12-081192266해양수산부 국립수산과학원
3597R211-667092701-0004오징어류_살오징어_수컷,전체_생것_대표_4월R원재료성 식품2동물성11어패류 및 기타 수산물11667오징어류1166709살오징어116670927수컷,전체1생것100g9577.219.051.131.780.86<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2국립수산과학원(표준수산물성분표)410N분석대한민국대표12017-11-3042023-12-081192266해양수산부 국립수산과학원
3598R211-667091501-0004오징어류_살오징어_암컷,전체_생것_대표_4월R원재료성 식품2동물성11어패류 및 기타 수산물11667오징어류1166709살오징어116670915암컷,전체1생것100g9577.419.531.231.70.13<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2국립수산과학원(표준수산물성분표)410N분석대한민국대표12017-11-3042023-12-081192266해양수산부 국립수산과학원
3599R211-715153601-0004게류_붉은대게_수컷,몸통_생것_대표_4월R원재료성 식품2동물성11어패류 및 기타 수산물11715게류1171515붉은대게117151536수컷,몸통1생것100g11579.012.636.551.720.09<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2국립수산과학원(표준수산물성분표)410N분석대한민국대표12017-11-3042023-12-081192266해양수산부 국립수산과학원
3600R211-715153701-0005게류_붉은대게_수컷,다리_생것_대표_5월R원재료성 식품2동물성11어패류 및 기타 수산물11715게류1171515붉은대게117151537수컷,다리1생것100g6782.614.90.421.950.15<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2국립수산과학원(표준수산물성분표)410N분석대한민국대표12017-11-3052023-12-081192266해양수산부 국립수산과학원
3601R211-715151501-0005게류_붉은대게_암컷,전체_생것_대표_5월R원재료성 식품2동물성11어패류 및 기타 수산물11715게류1171515붉은대게117151515암컷,전체1생것100g9580.38.534.32.234.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2국립수산과학원(표준수산물성분표)410N분석대한민국대표12017-11-3052023-12-081192266해양수산부 국립수산과학원
3602R211-715151901-0005게류_붉은대게_암컷,알_생것_대표_5월R원재료성 식품2동물성11어패류 및 기타 수산물11715게류1171515붉은대게117151519암컷,알1생것100g13769.319.992.981.66.09<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2국립수산과학원(표준수산물성분표)410N분석대한민국대표12017-11-3052023-12-081192266해양수산부 국립수산과학원
3603R211-009132801-0005가자미류_기름가자미(25-29cm)_수컷,육_생것_대표_5월R원재료성 식품2동물성11어패류 및 기타 수산물11009가자미류1100913기름가자미(25-29cm)110091328수컷,육1생것100g8180.216.340.591.21.68<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2국립수산과학원(표준수산물성분표)410N분석대한민국대표12017-11-3052023-12-081192266해양수산부 국립수산과학원
3604R211-009172801-0005가자미류_기름가자미(25cm미만)_수컷,육_생것_대표_5월R원재료성 식품2동물성11어패류 및 기타 수산물11009가자미류1100917기름가자미(25cm미만)110091728수컷,육1생것100g8879.218.150.911.130.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2국립수산과학원(표준수산물성분표)410N분석대한민국대표12017-11-3052023-12-081192266해양수산부 국립수산과학원
3605R211-009151601-0005가자미류_기름가자미(30cm이상)_암컷,육_생것_대표_5월R원재료성 식품2동물성11어패류 및 기타 수산물11009가자미류1100915기름가자미(30cm이상)110091516암컷,육1생것100g8180.516.610.661.171.11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2국립수산과학원(표준수산물성분표)410N분석대한민국대표12017-11-3052023-12-081192266해양수산부 국립수산과학원