Overview

Dataset statistics

Number of variables43
Number of observations10000
Missing cells160783
Missing cells (%)37.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 MiB
Average record size in memory381.0 B

Variable types

Text5
Categorical9
Numeric25
Unsupported1
Boolean1
DateTime2

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실)
Author해양수산부(국립수산과학원), 식품의약품안전처, 농촌진흥청(국립농업과학원)
URLhttps://www.data.go.kr/data/15100064/standard.do

Alerts

데이터기준일자 has constant value ""Constant
제공기관코드 has constant value ""Constant
제공기관명 has constant value ""Constant
데이터구분코드 is highly imbalanced (98.0%)Imbalance
데이터구분명 is highly imbalanced (98.0%)Imbalance
출처코드 is highly imbalanced (95.5%)Imbalance
출처명 is highly imbalanced (95.5%)Imbalance
수입여부 is highly imbalanced (51.5%)Imbalance
데이터생성방법코드 is highly imbalanced (94.6%)Imbalance
데이터생성방법명 is highly imbalanced (94.6%)Imbalance
수분(g) has 9933 (99.3%) missing valuesMissing
회분(g) has 9933 (99.3%) missing valuesMissing
식이섬유(g) has 9711 (97.1%) missing valuesMissing
칼슘(mg) has 9627 (96.3%) missing valuesMissing
철(mg) has 9781 (97.8%) missing valuesMissing
인(mg) has 9885 (98.9%) missing valuesMissing
칼륨(mg) has 9852 (98.5%) missing valuesMissing
비타민 A(μg RAE) has 9809 (98.1%) missing valuesMissing
레티놀(μg) has 9933 (99.3%) missing valuesMissing
베타카로틴(μg) has 9929 (99.3%) missing valuesMissing
티아민(mg) has 9851 (98.5%) missing valuesMissing
리보플라빈(mg) has 9853 (98.5%) missing valuesMissing
니아신(mg) has 9859 (98.6%) missing valuesMissing
비타민 C(mg) has 9792 (97.9%) missing valuesMissing
비타민 D(μg) has 9840 (98.4%) missing valuesMissing
폐기율(%) has 10000 (100.0%) missing valuesMissing
원산지국코드 has 3123 (31.2%) missing valuesMissing
원산지국코드 is highly skewed (γ1 = 21.20562032)Skewed
식품코드 has unique valuesUnique
폐기율(%) is an unsupported type, check if it needs cleaning or further analysisUnsupported
단백질(g) has 1599 (16.0%) zerosZeros
지방(g) has 1947 (19.5%) zerosZeros
탄수화물(g) has 520 (5.2%) zerosZeros
당류(g) has 1818 (18.2%) zerosZeros
나트륨(mg) has 1090 (10.9%) zerosZeros
콜레스테롤(mg) has 5072 (50.7%) zerosZeros
포화지방산(g) has 3334 (33.3%) zerosZeros
트랜스지방산(g) has 8661 (86.6%) zerosZeros

Reproduction

Analysis started2024-04-21 03:14:45.674510
Analysis finished2024-04-21 03:14:47.479820
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식품코드
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T12:14:47.614197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters190000
Distinct characters13
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowP109-102010200-0435
2nd rowP109-303030300-1053
3rd rowP123-203020300-0054
4th rowP109-302030200-1063
5th rowP109-801080100-1276
ValueCountFrequency (%)
p109-102010200-0435 1
 
< 0.1%
p109-600060300-0026 1
 
< 0.1%
p109-402040100-0070 1
 
< 0.1%
p123-211020300-0008 1
 
< 0.1%
p120-104010400-0508 1
 
< 0.1%
p109-801080100-1697 1
 
< 0.1%
p111-000030200-0009 1
 
< 0.1%
p110-400040000-0277 1
 
< 0.1%
p104-701070000-0013 1
 
< 0.1%
p123-203020200-0658 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-21T12:14:47.922078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 72619
38.2%
1 27543
 
14.5%
- 20000
 
10.5%
2 18585
 
9.8%
3 11777
 
6.2%
P 9981
 
5.3%
4 6280
 
3.3%
9 5471
 
2.9%
7 4944
 
2.6%
8 4827
 
2.5%
Other values (3) 7973
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160000
84.2%
Dash Punctuation 20000
 
10.5%
Uppercase Letter 10000
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 72619
45.4%
1 27543
 
17.2%
2 18585
 
11.6%
3 11777
 
7.4%
4 6280
 
3.9%
9 5471
 
3.4%
7 4944
 
3.1%
8 4827
 
3.0%
5 4195
 
2.6%
6 3759
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
P 9981
99.8%
D 19
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 180000
94.7%
Latin 10000
 
5.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 72619
40.3%
1 27543
 
15.3%
- 20000
 
11.1%
2 18585
 
10.3%
3 11777
 
6.5%
4 6280
 
3.5%
9 5471
 
3.0%
7 4944
 
2.7%
8 4827
 
2.7%
5 4195
 
2.3%
Latin
ValueCountFrequency (%)
P 9981
99.8%
D 19
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 72619
38.2%
1 27543
 
14.5%
- 20000
 
10.5%
2 18585
 
9.8%
3 11777
 
6.2%
P 9981
 
5.3%
4 6280
 
3.3%
9 5471
 
2.9%
7 4944
 
2.6%
8 4827
 
2.5%
Other values (3) 7973
 
4.2%

식품명
Text

Distinct9798
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T12:14:48.142001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length51
Mean length14.8968
Min length2

Characters and Unicode

Total characters148968
Distinct characters1153
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9655 ?
Unique (%)96.5%

Sample

1st row액상차_참맑은녹차
2nd row과·채음료_통짜발효배도라지
3rd row주먹밥/김밥/초밥_라이틀리 곤약김밥 계란두부
4th row과·채주스_석류즙100
5th row액상음료_정식품리얼코코넛
ValueCountFrequency (%)
기타 587
 
3.4%
영·유아용 220
 
1.3%
즉석 150
 
0.9%
닭가슴살 111
 
0.6%
환자용 90
 
0.5%
체중조절용 60
 
0.3%
치즈 41
 
0.2%
소시지 40
 
0.2%
오리지널 36
 
0.2%
콜드브루 30
 
0.2%
Other values (12602) 15898
92.1%
2024-04-21T12:14:48.504507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 10005
 
6.7%
7272
 
4.9%
스 3266
 
2.2%
밥 3184
 
2.1%
리 2272
 
1.5%
유 2123
 
1.4%
기 1981
 
1.3%
이 1980
 
1.3%
류 1952
 
1.3%
음 1701
 
1.1%
Other values (1143) 113232
76.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123068
82.6%
Connector Punctuation 10005
 
6.7%
Space Separator 7272
 
4.9%
Other Punctuation 2593
 
1.7%
Uppercase Letter 2002
 
1.3%
Lowercase Letter 1655
 
1.1%
Decimal Number 1245
 
0.8%
Close Punctuation 518
 
0.3%
Open Punctuation 504
 
0.3%
Dash Punctuation 59
 
< 0.1%
Other values (5) 47
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 3266
 
2.7%
밥 3184
 
2.6%
리 2272
 
1.8%
유 2123
 
1.7%
기 1981
 
1.6%
이 1980
 
1.6%
류 1952
 
1.6%
음 1701
 
1.4%
가 1595
 
1.3%
라 1395
 
1.1%
Other values (1053) 101619
82.6%
Uppercase Letter
ValueCountFrequency (%)
E 151
 
7.5%
A 147
 
7.3%
O 145
 
7.2%
C 140
 
7.0%
S 138
 
6.9%
T 135
 
6.7%
B 101
 
5.0%
I 100
 
5.0%
M 100
 
5.0%
R 96
 
4.8%
Other values (17) 749
37.4%
Lowercase Letter
ValueCountFrequency (%)
e 192
 
11.6%
i 139
 
8.4%
a 135
 
8.2%
o 121
 
7.3%
n 99
 
6.0%
l 99
 
6.0%
t 94
 
5.7%
u 93
 
5.6%
r 91
 
5.5%
m 85
 
5.1%
Other values (15) 507
30.6%
Other Punctuation
ValueCountFrequency (%)
/ 1493
57.6%
· 728
28.1%
& 277
 
10.7%
. 47
 
1.8%
, 28
 
1.1%
? 6
 
0.2%
: 5
 
0.2%
＆ 5
 
0.2%
; 3
 
0.1%
％ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 446
35.8%
1 286
23.0%
2 133
 
10.7%
5 97
 
7.8%
3 77
 
6.2%
9 58
 
4.7%
6 53
 
4.3%
7 37
 
3.0%
8 32
 
2.6%
4 26
 
2.1%
Math Symbol
ValueCountFrequency (%)
+ 19
76.0%
~ 3
 
12.0%
× 2
 
8.0%
∥ 1
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 509
98.3%
] 8
 
1.5%
》 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 487
96.6%
[ 17
 
3.4%
Letter Number
ValueCountFrequency (%)
Ⅰ 4
66.7%
Ⅲ 2
33.3%
Modifier Symbol
ValueCountFrequency (%)
˚ 1
50.0%
` 1
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10005
100.0%
Space Separator
ValueCountFrequency (%)
7272
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 10
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123021
82.6%
Common 22237
 
14.9%
Latin 3661
 
2.5%
Han 47
 
< 0.1%
Greek 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 3266
 
2.7%
밥 3184
 
2.6%
리 2272
 
1.8%
유 2123
 
1.7%
기 1981
 
1.6%
이 1980
 
1.6%
류 1952
 
1.6%
음 1701
 
1.4%
가 1595
 
1.3%
라 1395
 
1.1%
Other values (1022) 101572
82.6%
Latin
ValueCountFrequency (%)
e 192
 
5.2%
E 151
 
4.1%
A 147
 
4.0%
O 145
 
4.0%
C 140
 
3.8%
i 139
 
3.8%
S 138
 
3.8%
T 135
 
3.7%
a 135
 
3.7%
o 121
 
3.3%
Other values (43) 2218
60.6%
Common
ValueCountFrequency (%)
_ 10005
45.0%
7272
32.7%
/ 1493
 
6.7%
· 728
 
3.3%
) 509
 
2.3%
( 487
 
2.2%
0 446
 
2.0%
1 286
 
1.3%
& 277
 
1.2%
2 133
 
0.6%
Other values (26) 601
 
2.7%
Han
ValueCountFrequency (%)
眞 6
 
12.8%
愛 4
 
8.5%
辛 4
 
8.5%
味 2
 
4.3%
純 2
 
4.3%
鮮 2
 
4.3%
夜 2
 
4.3%
小 2
 
4.3%
家 1
 
2.1%
美 1
 
2.1%
Other values (21) 21
44.7%
Greek
ValueCountFrequency (%)
Ω 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123021
82.6%
ASCII 25139
 
16.9%
None 739
 
0.5%
CJK 45
 
< 0.1%
Punctuation 10
 
< 0.1%
Number Forms 6
 
< 0.1%
Letterlike Symbols 4
 
< 0.1%
CJK Compat Ideographs 2
 
< 0.1%
Math Operators 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 10005
39.8%
7272
28.9%
/ 1493
 
5.9%
) 509
 
2.0%
( 487
 
1.9%
0 446
 
1.8%
1 286
 
1.1%
& 277
 
1.1%
e 192
 
0.8%
E 151
 
0.6%
Other values (68) 4021
16.0%
Hangul
ValueCountFrequency (%)
스 3266
 
2.7%
밥 3184
 
2.6%
리 2272
 
1.8%
유 2123
 
1.7%
기 1981
 
1.6%
이 1980
 
1.6%
류 1952
 
1.6%
음 1701
 
1.4%
가 1595
 
1.3%
라 1395
 
1.1%
Other values (1022) 101572
82.6%
None
ValueCountFrequency (%)
· 728
98.5%
＆ 5
 
0.7%
Ω 2
 
0.3%
× 2
 
0.3%
％ 1
 
0.1%
》 1
 
0.1%
Punctuation
ValueCountFrequency (%)
’ 10
100.0%
CJK
ValueCountFrequency (%)
眞 6
 
13.3%
愛 4
 
8.9%
辛 4
 
8.9%
味 2
 
4.4%
純 2
 
4.4%
鮮 2
 
4.4%
夜 2
 
4.4%
小 2
 
4.4%
家 1
 
2.2%
美 1
 
2.2%
Other values (19) 19
42.2%
Number Forms
ValueCountFrequency (%)
Ⅰ 4
66.7%
Ⅲ 2
33.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 4
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
類 1
50.0%
茶 1
50.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

데이터구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
P
9981 
D
 
19

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
P 9981
99.8%
D 19
 
0.2%

Length

2024-04-21T12:14:48.612513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:14:48.685139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
p 9981
99.8%
d 19
 
0.2%

데이터구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가공식품
9981 
음식
 
19

Length

Max length4
Median length4
Mean length3.9962
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
가공식품 9981
99.8%
음식 19
 
0.2%

Length

2024-04-21T12:14:48.767561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:14:48.869041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가공식품 9981
99.8%
음식 19
 
0.2%

에너지(kcal)
Real number (ℝ)

Distinct683
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.4412
Minimum0
Maximum933
Zeros93
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:48.956230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q161
median150
Q3283
95-th percentile580
Maximum933
Range933
Interquartile range (IQR)222

Descriptive statistics

Standard deviation190.56335
Coefficient of variation (CV)0.94132692
Kurtosis3.0175418
Mean202.4412
Median Absolute Deviation (MAD)96
Skewness1.6991151
Sum2024412
Variance36314.391
MonotonicityNot monotonic
2024-04-21T12:14:49.066412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 129
 
1.3%
100 105
 
1.1%
60 105
 
1.1%
0 93
 
0.9%
900 93
 
0.9%
40 90
 
0.9%
45 87
 
0.9%
150 75
 
0.8%
65 74
 
0.7%
35 70
 
0.7%
Other values (673) 9079
90.8%
ValueCountFrequency (%)
0 93
0.9%
1 15
 
0.1%
2 18
 
0.2%
3 14
 
0.1%
4 30
 
0.3%
5 11
 
0.1%
6 11
 
0.1%
7 19
 
0.2%
8 13
 
0.1%
9 13
 
0.1%
ValueCountFrequency (%)
933 3
 
< 0.1%
917 1
 
< 0.1%
900 93
0.9%
899 12
 
0.1%
898 10
 
0.1%
897 5
 
0.1%
896 5
 
0.1%
895 5
 
0.1%
894 2
 
< 0.1%
893 1
 
< 0.1%

영양성분함량기준량
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
100g
7386 
100ml
2614 

Length

Max length5
Median length4
Mean length4.2614
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100ml
2nd row100ml
3rd row100g
4th row100ml
5th row100ml

Common Values

ValueCountFrequency (%)
100g 7386
73.9%
100ml 2614
 
26.1%

Length

2024-04-21T12:14:49.174401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:14:49.263406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100g 7386
73.9%
100ml 2614
 
26.1%

수분(g)
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)98.5%
Missing9933
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean54.48209
Minimum1.2
Maximum99.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:49.371755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.2
5-th percentile2.22
Q140.85
median60.2
Q378.5
95-th percentile90.69
Maximum99.6
Range98.4
Interquartile range (IQR)37.65

Descriptive statistics

Standard deviation29.031018
Coefficient of variation (CV)0.53285433
Kurtosis-0.78315499
Mean54.48209
Median Absolute Deviation (MAD)19.5
Skewness-0.55696388
Sum3650.3
Variance842.79998
MonotonicityNot monotonic
2024-04-21T12:14:49.486259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.8 2
 
< 0.1%
99.6 1
 
< 0.1%
72.7 1
 
< 0.1%
89.1 1
 
< 0.1%
14.3 1
 
< 0.1%
73.8 1
 
< 0.1%
1.9 1
 
< 0.1%
14.5 1
 
< 0.1%
76.8 1
 
< 0.1%
20.0 1
 
< 0.1%
Other values (56) 56
 
0.6%
(Missing) 9933
99.3%
ValueCountFrequency (%)
1.2 1
< 0.1%
1.7 1
< 0.1%
1.9 1
< 0.1%
2.1 1
< 0.1%
2.5 1
< 0.1%
2.8 1
< 0.1%
3.5 1
< 0.1%
7.2 1
< 0.1%
7.5 1
< 0.1%
9.7 1
< 0.1%
ValueCountFrequency (%)
99.6 1
< 0.1%
99.5 1
< 0.1%
92.0 1
< 0.1%
91.2 1
< 0.1%
89.5 1
< 0.1%
89.1 1
< 0.1%
89.0 1
< 0.1%
87.1 1
< 0.1%
86.6 1
< 0.1%
83.5 1
< 0.1%

단백질(g)
Real number (ℝ)

ZEROS 

Distinct1428
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.495756
Minimum0
Maximum90
Zeros1599
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:49.754844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4.2
Q38.89
95-th percentile21
Maximum90
Range90
Interquartile range (IQR)7.89

Descriptive statistics

Standard deviation7.9459974
Coefficient of variation (CV)1.2232598
Kurtosis14.24762
Mean6.495756
Median Absolute Deviation (MAD)3.63
Skewness2.899819
Sum64957.56
Variance63.138875
MonotonicityNot monotonic
2024-04-21T12:14:49.865138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1599
 
16.0%
4.0 194
 
1.9%
5.0 190
 
1.9%
2.0 184
 
1.8%
1.0 179
 
1.8%
3.0 179
 
1.8%
10.0 170
 
1.7%
6.0 168
 
1.7%
13.0 152
 
1.5%
8.0 142
 
1.4%
Other values (1418) 6843
68.4%
ValueCountFrequency (%)
0.0 1599
16.0%
0.01 4
 
< 0.1%
0.02 6
 
0.1%
0.03 5
 
0.1%
0.05 5
 
0.1%
0.06 6
 
0.1%
0.07 5
 
0.1%
0.08 4
 
< 0.1%
0.09 9
 
0.1%
0.1 23
 
0.2%
ValueCountFrequency (%)
90.0 2
< 0.1%
85.0 1
< 0.1%
80.12 1
< 0.1%
80.0 1
< 0.1%
79.5 1
< 0.1%
75.0 1
< 0.1%
70.0 1
< 0.1%
67.7 1
< 0.1%
64.52 1
< 0.1%
63.89 1
< 0.1%

지방(g)
Real number (ℝ)

ZEROS 

Distinct1454
Distinct (%)14.5%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean9.1771177
Minimum0
Maximum100
Zeros1947
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:49.975778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.3
median2.3
Q37.14
95-th percentile42.86
Maximum100
Range100
Interquartile range (IQR)6.84

Descriptive statistics

Standard deviation19.172955
Coefficient of variation (CV)2.0892131
Kurtosis12.113921
Mean9.1771177
Median Absolute Deviation (MAD)2.3
Skewness3.4455179
Sum91762
Variance367.60219
MonotonicityNot monotonic
2024-04-21T12:14:50.094337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1947
 
19.5%
1.0 153
 
1.5%
2.0 139
 
1.4%
3.0 109
 
1.1%
4.0 106
 
1.1%
100.0 100
 
1.0%
5.0 94
 
0.9%
0.5 83
 
0.8%
1.5 81
 
0.8%
6.0 75
 
0.8%
Other values (1444) 7112
71.1%
ValueCountFrequency (%)
0.0 1947
19.5%
0.01 25
 
0.2%
0.02 17
 
0.2%
0.03 24
 
0.2%
0.04 17
 
0.2%
0.05 26
 
0.3%
0.06 17
 
0.2%
0.07 12
 
0.1%
0.08 16
 
0.2%
0.09 11
 
0.1%
ValueCountFrequency (%)
100.0 100
1.0%
99.91 2
 
< 0.1%
99.9 5
 
0.1%
99.8 3
 
< 0.1%
99.74 2
 
< 0.1%
99.7 5
 
0.1%
99.61 1
 
< 0.1%
99.6 1
 
< 0.1%
99.56 2
 
< 0.1%
99.5 2
 
< 0.1%

회분(g)
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)91.0%
Missing9933
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean4.0522388
Minimum0
Maximum92.92
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:50.205830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.023
Q10.51
median1.09
Q32.845
95-th percentile14.033
Maximum92.92
Range92.92
Interquartile range (IQR)2.335

Descriptive statistics

Standard deviation11.72064
Coefficient of variation (CV)2.8923863
Kurtosis51.767758
Mean4.0522388
Median Absolute Deviation (MAD)0.97
Skewness6.8541188
Sum271.5
Variance137.3734
MonotonicityNot monotonic
2024-04-21T12:14:50.320029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.12 2
 
< 0.1%
0.17 2
 
< 0.1%
0.8 2
 
< 0.1%
0.0 2
 
< 0.1%
1.62 2
 
< 0.1%
0.68 2
 
< 0.1%
0.76 1
 
< 0.1%
0.02 1
 
< 0.1%
16.13 1
 
< 0.1%
0.14 1
 
< 0.1%
Other values (51) 51
 
0.5%
(Missing) 9933
99.3%
ValueCountFrequency (%)
0.0 2
< 0.1%
0.01 1
< 0.1%
0.02 1
< 0.1%
0.03 1
< 0.1%
0.04 1
< 0.1%
0.06 1
< 0.1%
0.11 1
< 0.1%
0.12 2
< 0.1%
0.13 1
< 0.1%
0.14 1
< 0.1%
ValueCountFrequency (%)
92.92 1
< 0.1%
16.13 1
< 0.1%
15.84 1
< 0.1%
14.21 1
< 0.1%
13.62 1
< 0.1%
12.28 1
< 0.1%
11.77 1
< 0.1%
10.26 1
< 0.1%
5.56 1
< 0.1%
5.19 1
< 0.1%

탄수화물(g)
Real number (ℝ)

ZEROS 

Distinct2660
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.537902
Minimum0
Maximum100
Zeros520
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:50.427169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.33
median14.21
Q331.6
95-th percentile75
Maximum100
Range100
Interquartile range (IQR)25.27

Descriptive statistics

Standard deviation23.552575
Coefficient of variation (CV)1.0006234
Kurtosis0.53162464
Mean23.537902
Median Absolute Deviation (MAD)10.64
Skewness1.2469029
Sum235379.02
Variance554.72381
MonotonicityNot monotonic
2024-04-21T12:14:50.540942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 520
 
5.2%
10.0 201
 
2.0%
5.0 160
 
1.6%
12.0 151
 
1.5%
11.0 132
 
1.3%
6.0 118
 
1.2%
1.0 116
 
1.2%
20.0 115
 
1.1%
2.0 107
 
1.1%
15.0 106
 
1.1%
Other values (2650) 8274
82.7%
ValueCountFrequency (%)
0.0 520
5.2%
0.01 3
 
< 0.1%
0.03 3
 
< 0.1%
0.04 1
 
< 0.1%
0.05 2
 
< 0.1%
0.06 4
 
< 0.1%
0.07 1
 
< 0.1%
0.09 1
 
< 0.1%
0.1 13
 
0.1%
0.11 2
 
< 0.1%
ValueCountFrequency (%)
100.0 9
0.1%
99.05 1
 
< 0.1%
99.0 1
 
< 0.1%
98.4 1
 
< 0.1%
97.4 1
 
< 0.1%
97.0 3
 
< 0.1%
96.67 1
 
< 0.1%
96.0 1
 
< 0.1%
95.45 1
 
< 0.1%
95.4 1
 
< 0.1%

당류(g)
Real number (ℝ)

ZEROS 

Distinct1464
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.800812
Minimum0
Maximum100
Zeros1818
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:50.655303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6
median3
Q39
95-th percentile39
Maximum100
Range100
Interquartile range (IQR)8.4

Descriptive statistics

Standard deviation12.968326
Coefficient of variation (CV)1.6624329
Kurtosis9.1131857
Mean7.800812
Median Absolute Deviation (MAD)3
Skewness2.8859811
Sum78008.12
Variance168.17748
MonotonicityNot monotonic
2024-04-21T12:14:50.785194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1818
 
18.2%
2.0 281
 
2.8%
1.0 271
 
2.7%
5.0 202
 
2.0%
4.0 199
 
2.0%
3.0 194
 
1.9%
10.0 183
 
1.8%
8.0 130
 
1.3%
6.0 115
 
1.1%
7.0 103
 
1.0%
Other values (1454) 6504
65.0%
ValueCountFrequency (%)
0.0 1818
18.2%
0.01 4
 
< 0.1%
0.02 4
 
< 0.1%
0.03 6
 
0.1%
0.04 7
 
0.1%
0.05 7
 
0.1%
0.06 2
 
< 0.1%
0.07 3
 
< 0.1%
0.08 3
 
< 0.1%
0.09 4
 
< 0.1%
ValueCountFrequency (%)
100.0 1
< 0.1%
99.05 1
< 0.1%
96.0 1
< 0.1%
95.0 2
< 0.1%
92.86 2
< 0.1%
91.67 1
< 0.1%
89.8 1
< 0.1%
88.0 1
< 0.1%
83.77 1
< 0.1%
83.0 2
< 0.1%

식이섬유(g)
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)31.1%
Missing9711
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean3.7415225
Minimum0
Maximum28.6
Zeros34
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:50.893870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34.7
95-th percentile12.98
Maximum28.6
Range28.6
Interquartile range (IQR)3.7

Descriptive statistics

Standard deviation4.9241757
Coefficient of variation (CV)1.3160888
Kurtosis8.3221683
Mean3.7415225
Median Absolute Deviation (MAD)1.5
Skewness2.6768657
Sum1081.3
Variance24.247506
MonotonicityNot monotonic
2024-04-21T12:14:51.007484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 34
 
0.3%
1.5 15
 
0.1%
1.0 12
 
0.1%
1.3 10
 
0.1%
0.8 8
 
0.1%
1.1 7
 
0.1%
2.0 7
 
0.1%
1.7 7
 
0.1%
0.5 7
 
0.1%
5.0 6
 
0.1%
Other values (80) 176
 
1.8%
(Missing) 9711
97.1%
ValueCountFrequency (%)
0.0 34
0.3%
0.1 3
 
< 0.1%
0.2 2
 
< 0.1%
0.3 4
 
< 0.1%
0.4 1
 
< 0.1%
0.5 7
 
0.1%
0.6 2
 
< 0.1%
0.7 5
 
0.1%
0.8 8
 
0.1%
0.9 3
 
< 0.1%
ValueCountFrequency (%)
28.6 1
< 0.1%
27.3 1
< 0.1%
26.1 1
< 0.1%
25.0 1
< 0.1%
24.1 1
< 0.1%
22.5 2
< 0.1%
22.0 1
< 0.1%
20.0 1
< 0.1%
16.0 1
< 0.1%
15.0 1
< 0.1%

칼슘(mg)
Real number (ℝ)

MISSING 

Distinct174
Distinct (%)46.6%
Missing9627
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean147.66488
Minimum0
Maximum1659
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:51.121769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.6
Q134
median100
Q3131
95-th percentile624.8
Maximum1659
Range1659
Interquartile range (IQR)97

Descriptive statistics

Standard deviation211.43433
Coefficient of variation (CV)1.4318525
Kurtosis13.08632
Mean147.66488
Median Absolute Deviation (MAD)45
Skewness3.2599842
Sum55079
Variance44704.476
MonotonicityNot monotonic
2024-04-21T12:14:51.233525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 33
 
0.3%
70 12
 
0.1%
105 11
 
0.1%
0 9
 
0.1%
80 7
 
0.1%
20 6
 
0.1%
110 5
 
0.1%
111 5
 
0.1%
16 5
 
0.1%
123 5
 
0.1%
Other values (164) 275
 
2.8%
(Missing) 9627
96.3%
ValueCountFrequency (%)
0 9
0.1%
1 4
< 0.1%
2 3
 
< 0.1%
3 3
 
< 0.1%
4 3
 
< 0.1%
5 5
0.1%
6 4
< 0.1%
7 3
 
< 0.1%
8 2
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
1659 1
< 0.1%
1250 1
< 0.1%
1220 1
< 0.1%
1111 1
< 0.1%
917 1
< 0.1%
894 1
< 0.1%
889 1
< 0.1%
865 1
< 0.1%
851 1
< 0.1%
805 1
< 0.1%

철(mg)
Real number (ℝ)

MISSING 

Distinct121
Distinct (%)55.3%
Missing9781
Missing (%)97.8%
Infinite0
Infinite (%)0.0%
Mean2.690137
Minimum0
Maximum72.01
Zeros11
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:51.351392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.009
Q10.4
median1
Q32.07
95-th percentile8.802
Maximum72.01
Range72.01
Interquartile range (IQR)1.67

Descriptive statistics

Standard deviation6.9450817
Coefficient of variation (CV)2.5816833
Kurtosis61.914655
Mean2.690137
Median Absolute Deviation (MAD)0.64
Skewness7.222888
Sum589.14
Variance48.23416
MonotonicityNot monotonic
2024-04-21T12:14:51.467130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 11
 
0.1%
1.0 10
 
0.1%
0.4 7
 
0.1%
0.2 6
 
0.1%
1.2 6
 
0.1%
0.3 5
 
0.1%
0.9 5
 
0.1%
4.0 4
 
< 0.1%
0.5 4
 
< 0.1%
1.1 4
 
< 0.1%
Other values (111) 157
 
1.6%
(Missing) 9781
97.8%
ValueCountFrequency (%)
0.0 11
0.1%
0.01 3
 
< 0.1%
0.03 2
 
< 0.1%
0.05 1
 
< 0.1%
0.07 3
 
< 0.1%
0.08 3
 
< 0.1%
0.11 1
 
< 0.1%
0.13 1
 
< 0.1%
0.17 1
 
< 0.1%
0.18 2
 
< 0.1%
ValueCountFrequency (%)
72.01 1
< 0.1%
55.84 1
< 0.1%
32.5 1
< 0.1%
20.5 1
< 0.1%
14.8 1
< 0.1%
14.2 1
< 0.1%
13.9 1
< 0.1%
13.6 1
< 0.1%
10.98 1
< 0.1%
10.62 1
< 0.1%

인(mg)
Real number (ℝ)

MISSING 

Distinct72
Distinct (%)62.6%
Missing9885
Missing (%)98.9%
Infinite0
Infinite (%)0.0%
Mean99.252174
Minimum0
Maximum636
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:51.581483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q141
median70
Q3112
95-th percentile334.7
Maximum636
Range636
Interquartile range (IQR)71

Descriptive statistics

Standard deviation114.09313
Coefficient of variation (CV)1.1495278
Kurtosis9.0766873
Mean99.252174
Median Absolute Deviation (MAD)35
Skewness2.7564874
Sum11414
Variance13017.243
MonotonicityNot monotonic
2024-04-21T12:14:51.693176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 17
 
0.2%
0 4
 
< 0.1%
63 3
 
< 0.1%
75 3
 
< 0.1%
140 3
 
< 0.1%
1 3
 
< 0.1%
45 3
 
< 0.1%
116 3
 
< 0.1%
9 3
 
< 0.1%
36 2
 
< 0.1%
Other values (62) 71
 
0.7%
(Missing) 9885
98.9%
ValueCountFrequency (%)
0 4
< 0.1%
1 3
< 0.1%
2 2
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 2
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 3
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
636 1
< 0.1%
634 1
< 0.1%
519 1
< 0.1%
410 1
< 0.1%
368 1
< 0.1%
362 1
< 0.1%
323 1
< 0.1%
295 1
< 0.1%
258 1
< 0.1%
241 1
< 0.1%

칼륨(mg)
Real number (ℝ)

MISSING 

Distinct116
Distinct (%)78.4%
Missing9852
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean286.68919
Minimum0
Maximum7392
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:51.803869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.05
Q177
median137.5
Q3189.5
95-th percentile952.4
Maximum7392
Range7392
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation730.46938
Coefficient of variation (CV)2.5479488
Kurtosis66.940064
Mean286.68919
Median Absolute Deviation (MAD)59
Skewness7.5913721
Sum42430
Variance533585.52
MonotonicityNot monotonic
2024-04-21T12:14:51.914259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140 5
 
0.1%
150 5
 
0.1%
200 3
 
< 0.1%
77 3
 
< 0.1%
110 3
 
< 0.1%
0 3
 
< 0.1%
130 2
 
< 0.1%
58 2
 
< 0.1%
115 2
 
< 0.1%
152 2
 
< 0.1%
Other values (106) 118
 
1.2%
(Missing) 9852
98.5%
ValueCountFrequency (%)
0 3
< 0.1%
1 2
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
10 2
< 0.1%
21 1
 
< 0.1%
23 1
 
< 0.1%
24 1
 
< 0.1%
ValueCountFrequency (%)
7392 1
< 0.1%
4287 1
< 0.1%
1642 1
< 0.1%
1297 1
< 0.1%
1273 1
< 0.1%
1259 1
< 0.1%
1195 1
< 0.1%
965 1
< 0.1%
929 1
< 0.1%
798 1
< 0.1%

나트륨(mg)
Real number (ℝ)

ZEROS 

Distinct1467
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean418.8548
Minimum0
Maximum33490
Zeros1090
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:52.025689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113
median151
Q3452
95-th percentile1560
Maximum33490
Range33490
Interquartile range (IQR)439

Descriptive statistics

Standard deviation992.53907
Coefficient of variation (CV)2.3696495
Kurtosis195.56763
Mean418.8548
Median Absolute Deviation (MAD)149
Skewness9.8785213
Sum4188548
Variance985133.81
MonotonicityNot monotonic
2024-04-21T12:14:52.150152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1090
 
10.9%
10 196
 
2.0%
5 168
 
1.7%
3 149
 
1.5%
4 142
 
1.4%
50 131
 
1.3%
2 128
 
1.3%
1 122
 
1.2%
6 104
 
1.0%
40 89
 
0.9%
Other values (1457) 7681
76.8%
ValueCountFrequency (%)
0 1090
10.9%
1 122
 
1.2%
2 128
 
1.3%
3 149
 
1.5%
4 142
 
1.4%
5 168
 
1.7%
6 104
 
1.0%
7 81
 
0.8%
8 87
 
0.9%
9 62
 
0.6%
ValueCountFrequency (%)
33490 1
< 0.1%
21620 1
< 0.1%
20456 1
< 0.1%
16290 1
< 0.1%
15200 1
< 0.1%
15166 1
< 0.1%
11502 1
< 0.1%
10646 1
< 0.1%
9906 1
< 0.1%
9905 1
< 0.1%

비타민 A(μg RAE)
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)39.8%
Missing9809
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean110.49738
Minimum0
Maximum1433
Zeros67
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:52.287617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median28
Q3105
95-th percentile567
Maximum1433
Range1433
Interquartile range (IQR)105

Descriptive statistics

Standard deviation216.5875
Coefficient of variation (CV)1.9601143
Kurtosis13.817946
Mean110.49738
Median Absolute Deviation (MAD)28
Skewness3.4385429
Sum21105
Variance46910.146
MonotonicityNot monotonic
2024-04-21T12:14:52.631790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67
 
0.7%
75 11
 
0.1%
70 6
 
0.1%
100 4
 
< 0.1%
1 4
 
< 0.1%
21 3
 
< 0.1%
35 3
 
< 0.1%
26 3
 
< 0.1%
4 3
 
< 0.1%
90 3
 
< 0.1%
Other values (66) 84
 
0.8%
(Missing) 9809
98.1%
ValueCountFrequency (%)
0 67
0.7%
1 4
 
< 0.1%
2 3
 
< 0.1%
3 1
 
< 0.1%
4 3
 
< 0.1%
6 1
 
< 0.1%
7 2
 
< 0.1%
9 1
 
< 0.1%
12 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
1433 1
< 0.1%
1283 1
< 0.1%
948 2
< 0.1%
875 1
< 0.1%
754 1
< 0.1%
608 1
< 0.1%
583 2
< 0.1%
577 1
< 0.1%
557 1
< 0.1%
531 1
< 0.1%

레티놀(μg)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)32.8%
Missing9933
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean34.895522
Minimum0
Maximum549
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:52.732306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q311
95-th percentile118.8
Maximum549
Range549
Interquartile range (IQR)11

Descriptive statistics

Standard deviation111.84691
Coefficient of variation (CV)3.2051938
Kurtosis16.478059
Mean34.895522
Median Absolute Deviation (MAD)0
Skewness4.1312343
Sum2338
Variance12509.731
MonotonicityNot monotonic
2024-04-21T12:14:52.820108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 45
 
0.4%
23 2
 
< 0.1%
529 1
 
< 0.1%
9 1
 
< 0.1%
103 1
 
< 0.1%
50 1
 
< 0.1%
3 1
 
< 0.1%
520 1
 
< 0.1%
123 1
 
< 0.1%
46 1
 
< 0.1%
Other values (12) 12
 
0.1%
(Missing) 9933
99.3%
ValueCountFrequency (%)
0 45
0.4%
1 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
19 1
 
< 0.1%
23 2
 
< 0.1%
ValueCountFrequency (%)
549 1
< 0.1%
529 1
< 0.1%
520 1
< 0.1%
123 1
< 0.1%
109 1
< 0.1%
103 1
< 0.1%
81 1
< 0.1%
59 1
< 0.1%
50 1
< 0.1%
46 1
< 0.1%

베타카로틴(μg)
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)53.5%
Missing9929
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean237.61972
Minimum0
Maximum4715
Zeros31
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:52.917122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q390
95-th percentile1383.5
Maximum4715
Range4715
Interquartile range (IQR)90

Descriptive statistics

Standard deviation761.98343
Coefficient of variation (CV)3.2067349
Kurtosis23.353511
Mean237.61972
Median Absolute Deviation (MAD)5
Skewness4.6779978
Sum16871
Variance580618.75
MonotonicityNot monotonic
2024-04-21T12:14:53.014231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 31
 
0.3%
141 2
 
< 0.1%
6 2
 
< 0.1%
44 2
 
< 0.1%
109 1
 
< 0.1%
151 1
 
< 0.1%
14 1
 
< 0.1%
23 1
 
< 0.1%
69 1
 
< 0.1%
118 1
 
< 0.1%
Other values (28) 28
 
0.3%
(Missing) 9929
99.3%
ValueCountFrequency (%)
0 31
0.3%
1 1
 
< 0.1%
2 1
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 2
 
< 0.1%
7 1
 
< 0.1%
14 1
 
< 0.1%
15 1
 
< 0.1%
ValueCountFrequency (%)
4715 1
< 0.1%
3822 1
< 0.1%
1528 1
< 0.1%
1413 1
< 0.1%
1354 1
< 0.1%
1010 1
< 0.1%
346 1
< 0.1%
328 1
< 0.1%
318 1
< 0.1%
283 1
< 0.1%

티아민(mg)
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)53.7%
Missing9851
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean3.2172282
Minimum0
Maximum224
Zeros25
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:53.123125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.039
median0.13
Q30.28
95-th percentile2.0978
Maximum224
Range224
Interquartile range (IQR)0.241

Descriptive statistics

Standard deviation22.922995
Coefficient of variation (CV)7.1250759
Kurtosis75.841249
Mean3.2172282
Median Absolute Deviation (MAD)0.11
Skewness8.627659
Sum479.367
Variance525.4637
MonotonicityNot monotonic
2024-04-21T12:14:53.237505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 25
 
0.2%
0.18 9
 
0.1%
0.13 7
 
0.1%
0.12 6
 
0.1%
0.1 4
 
< 0.1%
0.24 4
 
< 0.1%
0.15 4
 
< 0.1%
1.0 3
 
< 0.1%
0.14 3
 
< 0.1%
0.039 2
 
< 0.1%
Other values (70) 82
 
0.8%
(Missing) 9851
98.5%
ValueCountFrequency (%)
0.0 25
0.2%
0.003 1
 
< 0.1%
0.005 2
 
< 0.1%
0.009 2
 
< 0.1%
0.01 1
 
< 0.1%
0.016 1
 
< 0.1%
0.018 1
 
< 0.1%
0.021 1
 
< 0.1%
0.029 1
 
< 0.1%
0.033 1
 
< 0.1%
ValueCountFrequency (%)
224.0 1
< 0.1%
167.0 1
< 0.1%
30.3 1
< 0.1%
16.83 1
< 0.1%
2.6 1
< 0.1%
2.4 2
< 0.1%
2.143 1
< 0.1%
2.03 1
< 0.1%
1.701 1
< 0.1%
1.08 1
< 0.1%

리보플라빈(mg)
Real number (ℝ)

MISSING 

Distinct101
Distinct (%)68.7%
Missing9853
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean2.8443741
Minimum0
Maximum261.3
Zeros5
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:53.360983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0065
Q10.056
median0.16
Q30.334
95-th percentile1.94
Maximum261.3
Range261.3
Interquartile range (IQR)0.278

Descriptive statistics

Standard deviation22.994501
Coefficient of variation (CV)8.084204
Kurtosis113.1172
Mean2.8443741
Median Absolute Deviation (MAD)0.11
Skewness10.382497
Sum418.123
Variance528.74707
MonotonicityNot monotonic
2024-04-21T12:14:53.491560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.15 12
 
0.1%
0.21 5
 
0.1%
0.2 5
 
0.1%
0.0 5
 
0.1%
0.01 4
 
< 0.1%
0.16 4
 
< 0.1%
0.28 3
 
< 0.1%
0.056 3
 
< 0.1%
2.9 2
 
< 0.1%
0.12 2
 
< 0.1%
Other values (91) 102
 
1.0%
(Missing) 9853
98.5%
ValueCountFrequency (%)
0.0 5
0.1%
0.001 1
 
< 0.1%
0.002 1
 
< 0.1%
0.005 1
 
< 0.1%
0.01 4
< 0.1%
0.011 1
 
< 0.1%
0.016 1
 
< 0.1%
0.018 1
 
< 0.1%
0.019 1
 
< 0.1%
0.02 1
 
< 0.1%
ValueCountFrequency (%)
261.3 1
< 0.1%
100.0 1
< 0.1%
7.0 1
< 0.1%
2.9 2
< 0.1%
2.6 1
< 0.1%
2.571 1
< 0.1%
2.0 1
< 0.1%
1.8 1
< 0.1%
1.624 1
< 0.1%
1.2 1
< 0.1%

니아신(mg)
Real number (ℝ)

MISSING 

Distinct95
Distinct (%)67.4%
Missing9859
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean24.195681
Minimum0
Maximum2600
Zeros18
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:53.604962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.257
median1.5
Q33
95-th percentile19.08
Maximum2600
Range2600
Interquartile range (IQR)2.743

Descriptive statistics

Standard deviation220.31592
Coefficient of variation (CV)9.1055888
Kurtosis136.26317
Mean24.195681
Median Absolute Deviation (MAD)1.28
Skewness11.597563
Sum3411.591
Variance48539.105
MonotonicityNot monotonic
2024-04-21T12:14:53.719643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 18
 
0.2%
1.6 14
 
0.1%
1.5 6
 
0.1%
3.0 4
 
< 0.1%
2.25 2
 
< 0.1%
1.7 2
 
< 0.1%
27.7 2
 
< 0.1%
9.375 2
 
< 0.1%
2.368 2
 
< 0.1%
1.05 2
 
< 0.1%
Other values (85) 87
 
0.9%
(Missing) 9859
98.6%
ValueCountFrequency (%)
0.0 18
0.2%
0.009 1
 
< 0.1%
0.015 1
 
< 0.1%
0.028 1
 
< 0.1%
0.037 1
 
< 0.1%
0.08 1
 
< 0.1%
0.084 1
 
< 0.1%
0.091 1
 
< 0.1%
0.094 1
 
< 0.1%
0.097 1
 
< 0.1%
ValueCountFrequency (%)
2600.0 1
< 0.1%
330.0 1
< 0.1%
60.28 1
< 0.1%
32.657 1
< 0.1%
28.4 1
< 0.1%
27.7 2
< 0.1%
19.08 1
< 0.1%
12.5 2
< 0.1%
12.475 1
< 0.1%
11.68 1
< 0.1%

비타민 C(mg)
Real number (ℝ)

MISSING 

Distinct104
Distinct (%)50.0%
Missing9792
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean133.56361
Minimum0
Maximum5749
Zeros65
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:53.836085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7.625
Q322.7075
95-th percentile205.4
Maximum5749
Range5749
Interquartile range (IQR)22.7075

Descriptive statistics

Standard deviation703.36736
Coefficient of variation (CV)5.2661603
Kurtosis48.253252
Mean133.56361
Median Absolute Deviation (MAD)7.625
Skewness6.9526419
Sum27781.23
Variance494725.64
MonotonicityNot monotonic
2024-04-21T12:14:53.950007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 65
 
0.7%
10.0 10
 
0.1%
15.0 9
 
0.1%
14.0 6
 
0.1%
20.0 6
 
0.1%
62.5 3
 
< 0.1%
0.47 3
 
< 0.1%
201.5 2
 
< 0.1%
150.0 2
 
< 0.1%
50.0 2
 
< 0.1%
Other values (94) 100
 
1.0%
(Missing) 9792
97.9%
ValueCountFrequency (%)
0.0 65
0.7%
0.04 2
 
< 0.1%
0.17 2
 
< 0.1%
0.47 3
 
< 0.1%
0.5 1
 
< 0.1%
0.57 1
 
< 0.1%
0.61 1
 
< 0.1%
0.71 1
 
< 0.1%
0.79 1
 
< 0.1%
0.8 1
 
< 0.1%
ValueCountFrequency (%)
5749.0 1
< 0.1%
5401.58 1
< 0.1%
4593.91 1
< 0.1%
4499.41 1
< 0.1%
1120.0 1
< 0.1%
581.82 1
< 0.1%
500.0 1
< 0.1%
350.0 1
< 0.1%
251.85 1
< 0.1%
240.0 1
< 0.1%

비타민 D(μg)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)28.1%
Missing9840
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean2.212375
Minimum0
Maximum100
Zeros77
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:54.065275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31.52
95-th percentile8.7245
Maximum100
Range100
Interquartile range (IQR)1.52

Descriptive statistics

Standard deviation8.3543855
Coefficient of variation (CV)3.7762068
Kurtosis119.77373
Mean2.212375
Median Absolute Deviation (MAD)0.5
Skewness10.338469
Sum353.98
Variance69.795757
MonotonicityNot monotonic
2024-04-21T12:14:54.180317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0.0 77
 
0.8%
1.0 14
 
0.1%
0.5 9
 
0.1%
1.5 5
 
0.1%
1.58 5
 
0.1%
2.0 3
 
< 0.1%
2.63 3
 
< 0.1%
3.2 2
 
< 0.1%
8.33 2
 
< 0.1%
0.67 2
 
< 0.1%
Other values (35) 38
 
0.4%
(Missing) 9840
98.4%
ValueCountFrequency (%)
0.0 77
0.8%
0.35 1
 
< 0.1%
0.5 9
 
0.1%
0.67 2
 
< 0.1%
0.7 2
 
< 0.1%
0.99 1
 
< 0.1%
1.0 14
 
0.1%
1.03 1
 
< 0.1%
1.05 1
 
< 0.1%
1.07 1
 
< 0.1%
ValueCountFrequency (%)
100.0 1
< 0.1%
21.0 1
< 0.1%
13.46 1
< 0.1%
12.67 1
< 0.1%
10.56 2
< 0.1%
10.0 1
< 0.1%
9.0 1
< 0.1%
8.71 1
< 0.1%
8.33 2
< 0.1%
7.73 1
< 0.1%

콜레스테롤(mg)
Real number (ℝ)

ZEROS 

Distinct1742
Distinct (%)17.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean15.225538
Minimum0
Maximum1160
Zeros5072
Zeros (%)50.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:54.291993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313.33
95-th percentile66.427
Maximum1160
Range1160
Interquartile range (IQR)13.33

Descriptive statistics

Standard deviation44.695575
Coefficient of variation (CV)2.9355663
Kurtosis174.41181
Mean15.225538
Median Absolute Deviation (MAD)0
Skewness10.525997
Sum152240.15
Variance1997.6944
MonotonicityNot monotonic
2024-04-21T12:14:54.407181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 5072
50.7%
10.0 151
 
1.5%
5.0 148
 
1.5%
15.0 103
 
1.0%
50.0 100
 
1.0%
25.0 63
 
0.6%
20.0 60
 
0.6%
60.0 57
 
0.6%
40.0 56
 
0.6%
4.0 49
 
0.5%
Other values (1732) 4140
41.4%
ValueCountFrequency (%)
0.0 5072
50.7%
0.02 2
 
< 0.1%
0.04 2
 
< 0.1%
0.06 3
 
< 0.1%
0.07 1
 
< 0.1%
0.08 1
 
< 0.1%
0.1 4
 
< 0.1%
0.14 1
 
< 0.1%
0.15 1
 
< 0.1%
0.17 1
 
< 0.1%
ValueCountFrequency (%)
1160.0 1
< 0.1%
1159.0 1
< 0.1%
836.0 1
< 0.1%
834.6 1
< 0.1%
808.0 1
< 0.1%
740.0 1
< 0.1%
734.0 2
< 0.1%
725.0 1
< 0.1%
587.0 1
< 0.1%
575.0 1
< 0.1%

포화지방산(g)
Real number (ℝ)

ZEROS 

Distinct841
Distinct (%)8.4%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean2.5741864
Minimum0
Maximum57
Zeros3334
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:54.519558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q32.075
95-th percentile14.333
Maximum57
Range57
Interquartile range (IQR)2.075

Descriptive statistics

Standard deviation5.1481378
Coefficient of variation (CV)1.9999087
Kurtosis13.313477
Mean2.5741864
Median Absolute Deviation (MAD)0.5
Skewness3.2388375
Sum25739.29
Variance26.503323
MonotonicityNot monotonic
2024-04-21T12:14:54.642740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3334
33.3%
1.0 159
 
1.6%
0.3 152
 
1.5%
0.5 147
 
1.5%
0.4 143
 
1.4%
0.2 137
 
1.4%
2.0 110
 
1.1%
0.6 105
 
1.1%
0.8 96
 
1.0%
0.1 96
 
1.0%
Other values (831) 5520
55.2%
ValueCountFrequency (%)
0.0 3334
33.3%
0.01 55
 
0.5%
0.02 22
 
0.2%
0.03 30
 
0.3%
0.04 19
 
0.2%
0.05 24
 
0.2%
0.06 15
 
0.1%
0.07 19
 
0.2%
0.08 12
 
0.1%
0.09 22
 
0.2%
ValueCountFrequency (%)
57.0 1
< 0.1%
51.68 1
< 0.1%
47.5 1
< 0.1%
46.27 1
< 0.1%
43.0 1
< 0.1%
42.2 1
< 0.1%
40.0 1
< 0.1%
39.0 1
< 0.1%
38.8 1
< 0.1%
38.5 1
< 0.1%

트랜스지방산(g)
Real number (ℝ)

ZEROS 

Distinct127
Distinct (%)1.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.045815582
Minimum0
Maximum8.2
Zeros8661
Zeros (%)86.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:54.755400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.22
Maximum8.2
Range8.2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.25605032
Coefficient of variation (CV)5.5887169
Kurtosis317.80793
Mean0.045815582
Median Absolute Deviation (MAD)0
Skewness14.22696
Sum458.11
Variance0.065561765
MonotonicityNot monotonic
2024-04-21T12:14:54.863960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8661
86.6%
0.01 132
 
1.3%
0.1 85
 
0.9%
0.03 84
 
0.8%
0.04 70
 
0.7%
0.02 52
 
0.5%
0.3 51
 
0.5%
0.5 51
 
0.5%
0.05 49
 
0.5%
0.2 45
 
0.4%
Other values (117) 719
 
7.2%
ValueCountFrequency (%)
0.0 8661
86.6%
0.01 132
 
1.3%
0.02 52
 
0.5%
0.03 84
 
0.8%
0.04 70
 
0.7%
0.05 49
 
0.5%
0.06 38
 
0.4%
0.07 44
 
0.4%
0.08 42
 
0.4%
0.09 29
 
0.3%
ValueCountFrequency (%)
8.2 1
< 0.1%
7.84 1
< 0.1%
7.0 1
< 0.1%
5.0 2
< 0.1%
4.6 1
< 0.1%
4.5 1
< 0.1%
4.0 1
< 0.1%
3.33 1
< 0.1%
2.9 1
< 0.1%
2.86 1
< 0.1%

폐기율(%)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

출처코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
9951 
1
 
49

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 9951
99.5%
1 49
 
0.5%

Length

2024-04-21T12:14:54.964916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:14:55.038980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 9951
99.5%
1 49
 
0.5%

출처명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식품의약품안전처
9951 
농촌진흥청(국가표준식품성분표)
 
49

Length

Max length16
Median length8
Mean length8.0392
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품의약품안전처 9951
99.5%
농촌진흥청(국가표준식품성분표) 49
 
0.5%

Length

2024-04-21T12:14:55.126039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:14:55.208679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품의약품안전처 9951
99.5%
농촌진흥청(국가표준식품성분표 49
 
0.5%

식품중량
Text

Distinct855
Distinct (%)8.6%
Missing68
Missing (%)0.7%
Memory size156.2 KiB
2024-04-21T12:14:55.454041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.3728353
Min length2

Characters and Unicode

Total characters43431
Distinct characters14
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

Unique345 ?
Unique (%)3.5%

Sample

1st row175ml
2nd row2700ml
3rd row220g
4th row2700ml
5th row190ml
ValueCountFrequency (%)
100g 573
 
5.8%
500g 521
 
5.2%
1000g 458
 
4.6%
200g 323
 
3.3%
500ml 259
 
2.6%
250g 246
 
2.5%
300g 233
 
2.3%
1000ml 211
 
2.1%
150g 200
 
2.0%
100ml 199
 
2.0%
Other values (845) 6709
67.5%
2024-04-21T12:14:55.872558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14145
32.6%
g 7341
16.9%
1 4124
 
9.5%
5 3152
 
7.3%
2 3116
 
7.2%
m 2591
 
6.0%
l 2591
 
6.0%
3 1870
 
4.3%
4 1226
 
2.8%
8 1020
 
2.3%
Other values (4) 2255
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30851
71.0%
Lowercase Letter 12523
28.8%
Other Punctuation 57
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14145
45.8%
1 4124
 
13.4%
5 3152
 
10.2%
2 3116
 
10.1%
3 1870
 
6.1%
4 1226
 
4.0%
8 1020
 
3.3%
6 876
 
2.8%
7 722
 
2.3%
9 600
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
g 7341
58.6%
m 2591
 
20.7%
l 2591
 
20.7%
Other Punctuation
ValueCountFrequency (%)
. 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30908
71.2%
Latin 12523
28.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14145
45.8%
1 4124
 
13.3%
5 3152
 
10.2%
2 3116
 
10.1%
3 1870
 
6.1%
4 1226
 
4.0%
8 1020
 
3.3%
6 876
 
2.8%
7 722
 
2.3%
9 600
 
1.9%
Latin
ValueCountFrequency (%)
g 7341
58.6%
m 2591
 
20.7%
l 2591
 
20.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43431
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14145
32.6%
g 7341
16.9%
1 4124
 
9.5%
5 3152
 
7.3%
2 3116
 
7.2%
m 2591
 
6.0%
l 2591
 
6.0%
3 1870
 
4.3%
4 1226
 
2.8%
8 1020
 
2.3%
Other values (4) 2255
 
5.2%

수입여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
8948 
True
1052 
ValueCountFrequency (%)
False 8948
89.5%
True 1052
 
10.5%
2024-04-21T12:14:55.975199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

원산지국코드
Real number (ℝ)

MISSING  SKEWED 

Distinct14
Distinct (%)0.2%
Missing3123
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean37.647521
Minimum36
Maximum840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T12:14:56.050447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile36
Q136
median36
Q336
95-th percentile36
Maximum840
Range804
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.210226
Coefficient of variation (CV)0.82901145
Kurtosis472.8102
Mean37.647521
Median Absolute Deviation (MAD)0
Skewness21.20562
Sum258902
Variance974.07818
MonotonicityNot monotonic
2024-04-21T12:14:56.147370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
36 6853
68.5%
704 3
 
< 0.1%
392 3
 
< 0.1%
764 3
 
< 0.1%
380 2
 
< 0.1%
840 2
 
< 0.1%
250 2
 
< 0.1%
276 2
 
< 0.1%
156 2
 
< 0.1%
218 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
(Missing) 3123
31.2%
ValueCountFrequency (%)
36 6853
68.5%
156 2
 
< 0.1%
218 1
 
< 0.1%
250 2
 
< 0.1%
276 2
 
< 0.1%
360 1
 
< 0.1%
380 2
 
< 0.1%
392 3
 
< 0.1%
704 3
 
< 0.1%
724 1
 
< 0.1%
ValueCountFrequency (%)
840 2
< 0.1%
764 3
< 0.1%
756 1
 
< 0.1%
752 1
 
< 0.1%
724 1
 
< 0.1%
704 3
< 0.1%
392 3
< 0.1%
380 2
< 0.1%
360 1
 
< 0.1%
276 2
< 0.1%

원산지국명
Text

Distinct55
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T12:14:56.294827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length4
Mean length3.905
Min length2

Characters and Unicode

Total characters39050
Distinct characters100
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)0.2%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row해당없음
5th row해당없음
ValueCountFrequency (%)
해당없음 8948
89.5%
이탈리아 288
 
2.9%
미국 86
 
0.9%
스페인 83
 
0.8%
중국 83
 
0.8%
프랑스 58
 
0.6%
일본 45
 
0.4%
베트남 41
 
0.4%
독일 40
 
0.4%
호주 36
 
0.4%
Other values (46) 294
 
2.9%
2024-04-21T12:14:56.548716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
해 8948
22.9%
음 8948
22.9%
당 8948
22.9%
없 8948
22.9%
아 340
 
0.9%
리 336
 
0.9%
이 312
 
0.8%
탈 288
 
0.7%
국 216
 
0.6%
스 212
 
0.5%
Other values (90) 1554
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39048
> 99.9%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 8948
22.9%
음 8948
22.9%
당 8948
22.9%
없 8948
22.9%
아 340
 
0.9%
리 336
 
0.9%
이 312
 
0.8%
탈 288
 
0.7%
국 216
 
0.6%
스 212
 
0.5%
Other values (89) 1552
 
4.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39048
> 99.9%
Common 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 8948
22.9%
음 8948
22.9%
당 8948
22.9%
없 8948
22.9%
아 340
 
0.9%
리 336
 
0.9%
이 312
 
0.8%
탈 288
 
0.7%
국 216
 
0.6%
스 212
 
0.5%
Other values (89) 1552
 
4.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39048
> 99.9%
ASCII 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
해 8948
22.9%
음 8948
22.9%
당 8948
22.9%
없 8948
22.9%
아 340
 
0.9%
리 336
 
0.9%
이 312
 
0.8%
탈 288
 
0.7%
국 216
 
0.6%
스 212
 
0.5%
Other values (89) 1552
 
4.0%
ASCII
ValueCountFrequency (%)
2
100.0%

업체명
Text

Distinct3923
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-21T12:14:56.964598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length77
Mean length20.7205
Min length4

Characters and Unicode

Total characters207205
Distinct characters715
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2428 ?
Unique (%)24.3%

Sample

1st row(주)대일,해당없음,해당없음
2nd row(주)건영제과,해당없음,해당없음
3rd row복을 만드는 사람들 ㈜농업회사법인,해당없음,해당없음
4th row코엔에프(유),해당없음,해당없음
5th row(주)자연과사람들,해당없음,해당없음
ValueCountFrequency (%)
주식회사 603
 
3.9%
농업회사법인 269
 
1.7%
주식회사,해당없음,해당없음 195
 
1.3%
쿡베이스,해당없음,해당없음 171
 
1.1%
주)베베쿡,해당없음,해당없음 117
 
0.8%
씨제이제일제당(주),해당없음,해당없음 79
 
0.5%
㈜ 78
 
0.5%
주)동원에프앤비,해당없음,해당없음 76
 
0.5%
주)태송,해당없음,해당없음 73
 
0.5%
농업회사법인주식회사한우물,해당없음,해당없음 73
 
0.5%
Other values (5086) 13650
88.7%
2024-04-21T12:14:57.307268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 20211
 
9.8%
당 19083
 
9.2%
음 19069
 
9.2%
해 19007
 
9.2%
없 18869
 
9.1%
주 6823
 
3.3%
) 5408
 
2.6%
( 5403
 
2.6%
5389
 
2.6%
사 2766
 
1.3%
Other values (705) 85177
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143614
69.3%
Uppercase Letter 22624
 
10.9%
Other Punctuation 21693
 
10.5%
Close Punctuation 5408
 
2.6%
Open Punctuation 5403
 
2.6%
Space Separator 5389
 
2.6%
Other Symbol 1820
 
0.9%
Lowercase Letter 864
 
0.4%
Decimal Number 319
 
0.2%
Final Punctuation 37
 
< 0.1%
Other values (2) 34
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 19083
 
13.3%
음 19069
 
13.3%
해 19007
 
13.2%
없 18869
 
13.1%
주 6823
 
4.8%
사 2766
 
1.9%
식 2742
 
1.9%
회 2391
 
1.7%
이 1722
 
1.2%
드 1616
 
1.1%
Other values (630) 49526
34.5%
Uppercase Letter
ValueCountFrequency (%)
A 2510
 
11.1%
O 1900
 
8.4%
I 1870
 
8.3%
E 1657
 
7.3%
S 1575
 
7.0%
L 1459
 
6.4%
N 1364
 
6.0%
R 1331
 
5.9%
T 1295
 
5.7%
C 1207
 
5.3%
Other values (17) 6456
28.5%
Lowercase Letter
ValueCountFrequency (%)
a 106
12.3%
e 95
11.0%
o 83
9.6%
i 67
 
7.8%
t 63
 
7.3%
n 62
 
7.2%
s 57
 
6.6%
r 52
 
6.0%
l 47
 
5.4%
c 38
 
4.4%
Other values (14) 194
22.5%
Decimal Number
ValueCountFrequency (%)
2 177
55.5%
1 48
 
15.0%
3 31
 
9.7%
0 18
 
5.6%
4 16
 
5.0%
6 8
 
2.5%
9 7
 
2.2%
5 6
 
1.9%
8 6
 
1.9%
7 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 20211
93.2%
. 1121
 
5.2%
& 240
 
1.1%
/ 115
 
0.5%
? 2
 
< 0.1%
: 2
 
< 0.1%
＆ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 5408
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5403
100.0%
Space Separator
ValueCountFrequency (%)
5389
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1820
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 145430
70.2%
Common 38283
 
18.5%
Latin 23488
 
11.3%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 19083
 
13.1%
음 19069
 
13.1%
해 19007
 
13.1%
없 18869
 
13.0%
주 6823
 
4.7%
사 2766
 
1.9%
식 2742
 
1.9%
회 2391
 
1.6%
㈜ 1820
 
1.3%
이 1722
 
1.2%
Other values (630) 51138
35.2%
Latin
ValueCountFrequency (%)
A 2510
 
10.7%
O 1900
 
8.1%
I 1870
 
8.0%
E 1657
 
7.1%
S 1575
 
6.7%
L 1459
 
6.2%
N 1364
 
5.8%
R 1331
 
5.7%
T 1295
 
5.5%
C 1207
 
5.1%
Other values (41) 7320
31.2%
Common
ValueCountFrequency (%)
, 20211
52.8%
) 5408
 
14.1%
( 5403
 
14.1%
5389
 
14.1%
. 1121
 
2.9%
& 240
 
0.6%
2 177
 
0.5%
/ 115
 
0.3%
1 48
 
0.1%
’ 37
 
0.1%
Other values (13) 134
 
0.4%
Han
ValueCountFrequency (%)
愛 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143610
69.3%
ASCII 61729
29.8%
None 1825
 
0.9%
Punctuation 37
 
< 0.1%
CJK 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 20211
32.7%
) 5408
 
8.8%
( 5403
 
8.8%
5389
 
8.7%
A 2510
 
4.1%
O 1900
 
3.1%
I 1870
 
3.0%
E 1657
 
2.7%
S 1575
 
2.6%
L 1459
 
2.4%
Other values (60) 14347
23.2%
Hangul
ValueCountFrequency (%)
당 19083
 
13.3%
음 19069
 
13.3%
해 19007
 
13.2%
없 18869
 
13.1%
주 6823
 
4.8%
사 2766
 
1.9%
식 2742
 
1.9%
회 2391
 
1.7%
이 1722
 
1.2%
드 1616
 
1.1%
Other values (629) 49522
34.5%
None
ValueCountFrequency (%)
㈜ 1820
99.7%
ı 2
 
0.1%
＆ 2
 
0.1%
Ł 1
 
0.1%
Punctuation
ValueCountFrequency (%)
’ 37
100.0%
CJK
ValueCountFrequency (%)
愛 4
100.0%

데이터생성방법코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
9938 
1
 
62

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 9938
99.4%
1 62
 
0.6%

Length

2024-04-21T12:14:57.419301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:14:57.504866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 9938
99.4%
1 62
 
0.6%

데이터생성방법명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수집
9938 
분석
 
62

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수집 9938
99.4%
분석 62
 
0.6%

Length

2024-04-21T12:14:57.588223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:14:57.661528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수집 9938
99.4%
분석 62
 
0.6%

데이터생성일자
Date

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2013-12-31 00:00:00
Maximum2023-12-22 00:00:00
2024-04-21T12:14:57.731766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:14:57.818039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2024-04-16 00:00:00
Maximum2024-04-16 00:00:00
2024-04-21T12:14:57.912008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:14:57.982942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

제공기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1471000
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1471000
2nd row1471000
3rd row1471000
4th row1471000
5th row1471000

Common Values

ValueCountFrequency (%)
1471000 10000
100.0%

Length

2024-04-21T12:14:58.068537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:14:58.147432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1471000 10000
100.0%

제공기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
식품의약품안전처
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품의약품안전처 10000
100.0%

Length

2024-04-21T12:14:58.228992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:14:58.323583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품의약품안전처 10000
100.0%

Sample

식품코드식품명데이터구분코드데이터구분명에너지(kcal)영양성분함량기준량수분(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(%)출처코드출처명식품중량수입여부원산지국코드원산지국명업체명데이터생성방법코드데이터생성방법명데이터생성일자데이터기준일자제공기관코드제공기관명
25341P109-102010200-0435액상차_참맑은녹차P가공식품0100ml<NA>0.00.0<NA>0.00.0<NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA>0.00.00.0<NA>3식품의약품안전처175mlN36해당없음(주)대일,해당없음,해당없음2수집2019-06-302024-04-161471000식품의약품안전처
41067P109-303030300-1053과·채음료_통짜발효배도라지P가공식품51100ml<NA>0.00.0<NA>12.224.44<NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA>0.00.00.0<NA>3식품의약품안전처2700mlN36해당없음(주)건영제과,해당없음,해당없음2수집2021-06-302024-04-161471000식품의약품안전처
16516P123-203020300-0054주먹밥/김밥/초밥_라이틀리 곤약김밥 계란두부P가공식품127100g<NA>5.02.27<NA>21.821.82<NA><NA><NA><NA><NA>318<NA><NA><NA><NA><NA><NA><NA><NA>20.450.450.0<NA>3식품의약품안전처220gN<NA>해당없음복을 만드는 사람들 ㈜농업회사법인,해당없음,해당없음2수집2022-12-292024-04-161471000식품의약품안전처
33070P109-302030200-1063과·채주스_석류즙100P가공식품67100ml<NA>0.220.0<NA>16.4413.33<NA><NA><NA><NA><NA>4<NA><NA><NA><NA><NA><NA><NA><NA>0.00.00.0<NA>3식품의약품안전처2700mlN36해당없음코엔에프(유),해당없음,해당없음2수집2021-06-302024-04-161471000식품의약품안전처
31370P109-801080100-1276액상음료_정식품리얼코코넛P가공식품34100ml<NA>0.02.37<NA>3.163.16<NA><NA><NA><NA><NA>79<NA><NA><NA><NA><NA><NA><NA><NA>0.02.110.0<NA>3식품의약품안전처190mlN36해당없음(주)자연과사람들,해당없음,해당없음2수집2020-06-302024-04-161471000식품의약품안전처
21374P114-400020100-0096절임식품_예화담 간장게장P가공식품103100g<NA>10.01.0<NA>12.010.0<NA><NA><NA><NA><NA>1521<NA><NA><NA><NA><NA><NA><NA><NA>73.00.00.0<NA>3식품의약품안전처100gN36해당없음예화담식품,해당없음,해당없음2수집2023-12-222024-04-161471000식품의약품안전처
3247P123-204020300-0352즉석 면요리_토마토쌀파스타P가공식품166100g<NA>2.06.0<NA>26.02.0<NA><NA><NA><NA><NA>289<NA><NA><NA><NA><NA><NA><NA><NA>0.00.00.0<NA>3식품의약품안전처290gN<NA>해당없음동산식품농업회사법인유한회사,해당없음,해당없음2수집2021-06-302024-04-161471000식품의약품안전처
31760P109-801080100-0870액상음료_아르맨P가공식품175100ml<NA>25.00.0<NA>20.03.5<NA><NA><NA><NA><NA>5<NA><NA><NA><NA><NA><NA><NA><NA>0.00.00.0<NA>3식품의약품안전처300mlN36해당없음(주)바이오로제트,해당없음,해당없음2수집2021-06-302024-04-161471000식품의약품안전처
21005P116-302030200-0251견과류_볶음캐슈넛P가공식품615100g<NA>22.047.0<NA>26.06.0<NA><NA><NA><NA><NA>10<NA><NA><NA><NA><NA><NA><NA><NA>0.09.00.0<NA>3식품의약품안전처500gN36해당없음(주)바프원주공장,해당없음,해당없음2수집2023-12-222024-04-161471000식품의약품안전처
17210P123-203020200-0219주먹밥/김밥/초밥_묵은지참치김밥P가공식품175100g<NA>4.437.39<NA>23.150.99<NA><NA><NA><NA><NA>325<NA><NA><NA><NA><NA><NA><NA><NA>17.241.030.0<NA>3식품의약품안전처203gN<NA>해당없음(주)현대그린푸드,해당없음,해당없음2수집2020-06-302024-04-161471000식품의약품안전처
식품코드식품명데이터구분코드데이터구분명에너지(kcal)영양성분함량기준량수분(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(%)출처코드출처명식품중량수입여부원산지국코드원산지국명업체명데이터생성방법코드데이터생성방법명데이터생성일자데이터기준일자제공기관코드제공기관명
33579P109-302030200-0591과·채주스_돌스위티오파인애플P가공식품50100ml<NA>0.00.0<NA>12.012.0<NA><NA><NA><NA><NA>15<NA><NA><NA><NA><NA><NA><NA><NA>0.00.00.0<NA>3식품의약품안전처1000mlN36해당없음연세대학교연세우유,해당없음,해당없음2수집2021-06-302024-04-161471000식품의약품안전처
4474P123-207020300-0509국/탕류_소갈비탕P가공식품50100g<NA>3.833.67<NA>0.40.0<NA><NA><NA><NA><NA>137<NA><NA><NA><NA><NA><NA><NA><NA>0.00.00.0<NA>3식품의약품안전처600gN<NA>해당없음(주)초원식품,해당없음,해당없음2수집2021-06-302024-04-161471000식품의약품안전처
514P123-212020200-0145반찬_저당매콤여주제육볶음세트P가공식품135100g<NA>7.146.35<NA>13.893.17<NA><NA><NA><NA><NA>313<NA><NA><NA><NA><NA><NA><NA><NA>21.831.030.08<NA>3식품의약품안전처252gN<NA>해당없음(주)현대그린푸드,해당없음,해당없음2수집2021-06-302024-04-161471000식품의약품안전처
12226P117-700060000-0200식육간편조리_소 한마리 국밥P가공식품35100g<NA>2.01.87<NA>2.40.13<NA><NA><NA><NA><NA>173<NA><NA><NA><NA><NA><NA><NA><NA>5.330.240.0<NA>3식품의약품안전처750gN36해당없음반햇소영농조합법인,해당없음,해당없음2수집2023-12-222024-04-161471000식품의약품안전처
9317P117-800080000-0036기타 식육가공품_한끼덮밥 깻잎닭갈비P가공식품185100g<NA>14.579.83<NA>9.463.99<NA><NA><NA><NA><NA>588<NA><NA><NA><NA><NA><NA><NA><NA>90.552.580.0<NA>3식품의약품안전처190gN36해당없음패스트,해당없음,해당없음2수집2023-12-222024-04-161471000식품의약품안전처
33071P109-302030200-1064과·채주스_석류진(眞)P가공식품88100ml<NA>0.00.0<NA>21.2520.0<NA><NA><NA><NA><NA>25<NA><NA><NA><NA><NA><NA><NA><NA>0.00.00.0<NA>3식품의약품안전처80mlN36해당없음(주)네이처텍,해당없음,해당없음2수집2019-06-302024-04-161471000식품의약품안전처
20668P116-400070200-0124시리얼_퀵쿠킹오트밀P가공식품387100g<NA>12.57.5<NA>67.50.0<NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA>0.02.50.0<NA>3식품의약품안전처400gY36미국해당없음,FOOD GROUP INTERNATIONAL INC,해당없음2수집2020-06-302024-04-161471000식품의약품안전처
18782P123-201020200-0047밥류_닭고기우엉덮밥세트P가공식품145100g<NA>7.422.58<NA>22.96.45<NA><NA><NA><NA><NA>194<NA><NA><NA><NA><NA><NA><NA><NA>12.90.580.0<NA>3식품의약품안전처310gN<NA>해당없음풀무원건강생활(주),해당없음,해당없음2수집2020-06-302024-04-161471000식품의약품안전처
10395P123-201020300-2067밥류_연근우엉밥&표고버섯불고기P가공식품124100g<NA>8.782.22<NA>17.31.3<NA><NA><NA><NA><NA>344<NA><NA><NA><NA><NA><NA><NA><NA>2.430.260.0<NA>3식품의약품안전처230gN<NA>해당없음농업회사법인(주)수지스링크,해당없음,해당없음2수집2020-06-302024-04-161471000식품의약품안전처
38769P109-801080100-2033액상음료_헤지스 아이코닉 헬시 워터 히어로P가공식품2100ml<NA>0.20.0<NA>2.20.0<NA><NA><NA><NA><NA>62<NA><NA><NA><NA><NA><NA><NA><NA>0.00.00.0<NA>3식품의약품안전처500mlN36해당없음오케이에프음료 주식회사,해당없음,해당없음2수집2023-12-222024-04-161471000식품의약품안전처