Overview

Dataset statistics

Number of variables9
Number of observations993
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.9 KiB
Average record size in memory72.1 B

Variable types

Categorical3
Text4
DateTime2

Dataset

Description우수식품인증업체, 민간인증기관 정보서비스(인증구분, 인증번호, 인증기관, 인증일자, 인증업체, 주소, 제품명)
Author국립농산물품질관리원
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220204000000001688

Alerts

인증종료일 has constant value ""Constant
인증기관 is highly imbalanced (53.2%)Imbalance

Reproduction

Analysis started2024-03-23 07:25:42.472415
Analysis finished2024-03-23 07:25:45.047963
Duration2.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
전통식품인증
822 
KS인증
171 

Length

Max length6
Median length6
Mean length5.6555891
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전통식품인증 822
82.8%
KS인증 171
 
17.2%

Length

2024-03-23T07:25:45.246248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:25:45.433288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전통식품인증 822
82.8%
ks인증 171
 
17.2%

인증번호
Text

Distinct938
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-03-23T07:25:45.905292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.482377
Min length12

Characters and Unicode

Total characters12395
Distinct characters19
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

Unique883 ?
Unique (%)88.9%

Sample

1st row식품연 제2022-13호
2nd row식품연 제2022-12호
3rd row식품연 제2022-11호
4th row식품연 제2022-10호
5th row식품연 제2022-09호
ValueCountFrequency (%)
식품연 993
35.4%
전통 822
29.3%
제1117호 2
 
0.1%
제168호 2
 
0.1%
제395호 2
 
0.1%
제676호 2
 
0.1%
제598호 2
 
0.1%
제597호 2
 
0.1%
제1100호 2
 
0.1%
제694호 2
 
0.1%
Other values (930) 977
34.8%
2024-03-23T07:25:46.882902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1815
14.6%
식 993
 
8.0%
제 993
 
8.0%
품 993
 
8.0%
호 993
 
8.0%
연 993
 
8.0%
통 822
 
6.6%
전 822
 
6.6%
1 809
 
6.5%
0 574
 
4.6%
Other values (9) 2588
20.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6609
53.3%
Decimal Number 3800
30.7%
Space Separator 1815
 
14.6%
Dash Punctuation 171
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 809
21.3%
0 574
15.1%
2 569
15.0%
9 295
 
7.8%
8 289
 
7.6%
3 268
 
7.1%
6 259
 
6.8%
4 249
 
6.6%
7 244
 
6.4%
5 244
 
6.4%
Other Letter
ValueCountFrequency (%)
식 993
15.0%
제 993
15.0%
품 993
15.0%
호 993
15.0%
연 993
15.0%
통 822
12.4%
전 822
12.4%
Space Separator
ValueCountFrequency (%)
1815
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 171
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6609
53.3%
Common 5786
46.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1815
31.4%
1 809
14.0%
0 574
 
9.9%
2 569
 
9.8%
9 295
 
5.1%
8 289
 
5.0%
3 268
 
4.6%
6 259
 
4.5%
4 249
 
4.3%
7 244
 
4.2%
Other values (2) 415
 
7.2%
Hangul
ValueCountFrequency (%)
식 993
15.0%
제 993
15.0%
품 993
15.0%
호 993
15.0%
연 993
15.0%
통 822
12.4%
전 822
12.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6609
53.3%
ASCII 5786
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1815
31.4%
1 809
14.0%
0 574
 
9.9%
2 569
 
9.8%
9 295
 
5.1%
8 289
 
5.0%
3 268
 
4.6%
6 259
 
4.5%
4 249
 
4.3%
7 244
 
4.2%
Other values (2) 415
 
7.2%
Hangul
ValueCountFrequency (%)
식 993
15.0%
제 993
15.0%
품 993
15.0%
호 993
15.0%
연 993
15.0%
통 822
12.4%
전 822
12.4%

인증기관
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
한국식품연구원
894 
주식회사 푸름인증원
99 

Length

Max length10
Median length7
Mean length7.2990937
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국식품연구원 894
90.0%
주식회사 푸름인증원 99
 
10.0%

Length

2024-03-23T07:25:47.353240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:25:47.677971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국식품연구원 894
81.9%
주식회사 99
 
9.1%
푸름인증원 99
 
9.1%

인증일자
Date

Distinct219
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum2013-06-25 00:00:00
Maximum2023-03-09 00:00:00
2024-03-23T07:25:47.958774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:25:48.437653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증시작일
Date

Distinct430
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Minimum1967-07-15 00:00:00
Maximum2023-03-02 00:00:00
2024-03-23T07:25:48.812346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:25:49.108018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증종료일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2999-12-31
993 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2999-12-31
2nd row2999-12-31
3rd row2999-12-31
4th row2999-12-31
5th row2999-12-31

Common Values

ValueCountFrequency (%)
2999-12-31 993
100.0%

Length

2024-03-23T07:25:49.352753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:25:49.544323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2999-12-31 993
100.0%

인증업체
Text

Distinct543
Distinct (%)54.7%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-03-23T07:25:49.885465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.2819738
Min length2

Characters and Unicode

Total characters9217
Distinct characters376
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique313 ?
Unique (%)31.5%

Sample

1st row농업회사법인(주)두리두리
2nd row(주)한일식품
3rd row(주)그린
4th row(주)그린
5th row(주)미트뱅크 제2공장
ValueCountFrequency (%)
농업회사법인 120
 
9.2%
영농조합법인 63
 
4.9%
주식회사 22
 
1.7%
남안동농협가공사업소 12
 
0.9%
안동제비원전통식품㈜ 10
 
0.8%
홍천시골된장 8
 
0.6%
주)태림에프웰 8
 
0.6%
순창장본가전통식품 8
 
0.6%
농업회사법인(주 7
 
0.5%
주)오뚜기 7
 
0.5%
Other values (579) 1033
79.6%
2024-03-23T07:25:50.881629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 490
 
5.3%
인 387
 
4.2%
법 371
 
4.0%
주 366
 
4.0%
) 317
 
3.4%
( 317
 
3.4%
사 316
 
3.4%
315
 
3.4%
식 304
 
3.3%
품 280
 
3.0%
Other values (366) 5754
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8041
87.2%
Close Punctuation 317
 
3.4%
Open Punctuation 317
 
3.4%
Space Separator 315
 
3.4%
Other Symbol 158
 
1.7%
Decimal Number 31
 
0.3%
Uppercase Letter 26
 
0.3%
Other Punctuation 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 490
 
6.1%
인 387
 
4.8%
법 371
 
4.6%
주 366
 
4.6%
사 316
 
3.9%
식 304
 
3.8%
품 280
 
3.5%
업 270
 
3.4%
회 252
 
3.1%
합 196
 
2.4%
Other values (354) 4809
59.8%
Uppercase Letter
ValueCountFrequency (%)
F 13
50.0%
S 8
30.8%
B 3
 
11.5%
C 1
 
3.8%
K 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
2 22
71.0%
1 9
29.0%
Close Punctuation
ValueCountFrequency (%)
) 317
100.0%
Open Punctuation
ValueCountFrequency (%)
( 317
100.0%
Space Separator
ValueCountFrequency (%)
315
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 158
100.0%
Other Punctuation
ValueCountFrequency (%)
& 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8199
89.0%
Common 992
 
10.8%
Latin 26
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 490
 
6.0%
인 387
 
4.7%
법 371
 
4.5%
주 366
 
4.5%
사 316
 
3.9%
식 304
 
3.7%
품 280
 
3.4%
업 270
 
3.3%
회 252
 
3.1%
합 196
 
2.4%
Other values (355) 4967
60.6%
Common
ValueCountFrequency (%)
) 317
32.0%
( 317
32.0%
315
31.8%
2 22
 
2.2%
& 12
 
1.2%
1 9
 
0.9%
Latin
ValueCountFrequency (%)
F 13
50.0%
S 8
30.8%
B 3
 
11.5%
C 1
 
3.8%
K 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8041
87.2%
ASCII 1018
 
11.0%
None 158
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 490
 
6.1%
인 387
 
4.8%
법 371
 
4.6%
주 366
 
4.6%
사 316
 
3.9%
식 304
 
3.8%
품 280
 
3.5%
업 270
 
3.4%
회 252
 
3.1%
합 196
 
2.4%
Other values (354) 4809
59.8%
ASCII
ValueCountFrequency (%)
) 317
31.1%
( 317
31.1%
315
30.9%
2 22
 
2.2%
F 13
 
1.3%
& 12
 
1.2%
1 9
 
0.9%
S 8
 
0.8%
B 3
 
0.3%
C 1
 
0.1%
None
ValueCountFrequency (%)
㈜ 158
100.0%

주소
Text

Distinct534
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-03-23T07:25:51.454956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length23.070493
Min length15

Characters and Unicode

Total characters22909
Distinct characters352
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique301 ?
Unique (%)30.3%

Sample

1st row충청남도 논산시 성동면 산업단지로2길 45
2nd row경상남도 진주시 대곡면 대화로 68
3rd row충청남도 서산시 고북면 고북4로 356-54
4th row충청남도 서산시 고북면 고북4로 356-54
5th row인천광역시 서구 소담1로 30 (금곡동)
ValueCountFrequency (%)
경기도 222
 
4.4%
충청남도 144
 
2.8%
경상북도 129
 
2.5%
전라북도 104
 
2.0%
충청북도 94
 
1.8%
전라남도 82
 
1.6%
경상남도 68
 
1.3%
강원도 50
 
1.0%
순창군 34
 
0.7%
파주시 29
 
0.6%
Other values (1535) 4127
81.2%
2024-03-23T07:25:52.572359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4147
 
18.1%
도 935
 
4.1%
1 814
 
3.6%
시 648
 
2.8%
면 627
 
2.7%
길 599
 
2.6%
로 546
 
2.4%
2 527
 
2.3%
3 477
 
2.1%
경 464
 
2.0%
Other values (342) 13125
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14072
61.4%
Space Separator 4147
 
18.1%
Decimal Number 3794
 
16.6%
Dash Punctuation 430
 
1.9%
Close Punctuation 199
 
0.9%
Open Punctuation 199
 
0.9%
Uppercase Letter 25
 
0.1%
Lowercase Letter 24
 
0.1%
Other Punctuation 18
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 935
 
6.6%
시 648
 
4.6%
면 627
 
4.5%
길 599
 
4.3%
로 546
 
3.9%
경 464
 
3.3%
산 427
 
3.0%
남 414
 
2.9%
군 414
 
2.9%
북 410
 
2.9%
Other values (310) 8588
61.0%
Uppercase Letter
ValueCountFrequency (%)
F 8
32.0%
T 2
 
8.0%
L 2
 
8.0%
O 2
 
8.0%
C 2
 
8.0%
W 1
 
4.0%
E 1
 
4.0%
S 1
 
4.0%
R 1
 
4.0%
I 1
 
4.0%
Other values (4) 4
16.0%
Decimal Number
ValueCountFrequency (%)
1 814
21.5%
2 527
13.9%
3 477
12.6%
5 348
9.2%
4 312
 
8.2%
6 304
 
8.0%
0 270
 
7.1%
7 259
 
6.8%
8 249
 
6.6%
9 234
 
6.2%
Lowercase Letter
ValueCountFrequency (%)
o 16
66.7%
d 8
33.3%
Space Separator
ValueCountFrequency (%)
4147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 430
100.0%
Close Punctuation
ValueCountFrequency (%)
) 199
100.0%
Open Punctuation
ValueCountFrequency (%)
( 199
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14073
61.4%
Common 8787
38.4%
Latin 49
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 935
 
6.6%
시 648
 
4.6%
면 627
 
4.5%
길 599
 
4.3%
로 546
 
3.9%
경 464
 
3.3%
산 427
 
3.0%
남 414
 
2.9%
군 414
 
2.9%
북 410
 
2.9%
Other values (311) 8589
61.0%
Latin
ValueCountFrequency (%)
o 16
32.7%
d 8
16.3%
F 8
16.3%
T 2
 
4.1%
L 2
 
4.1%
O 2
 
4.1%
C 2
 
4.1%
W 1
 
2.0%
E 1
 
2.0%
S 1
 
2.0%
Other values (6) 6
 
12.2%
Common
ValueCountFrequency (%)
4147
47.2%
1 814
 
9.3%
2 527
 
6.0%
3 477
 
5.4%
- 430
 
4.9%
5 348
 
4.0%
4 312
 
3.6%
6 304
 
3.5%
0 270
 
3.1%
7 259
 
2.9%
Other values (5) 899
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14072
61.4%
ASCII 8836
38.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4147
46.9%
1 814
 
9.2%
2 527
 
6.0%
3 477
 
5.4%
- 430
 
4.9%
5 348
 
3.9%
4 312
 
3.5%
6 304
 
3.4%
0 270
 
3.1%
7 259
 
2.9%
Other values (21) 948
 
10.7%
Hangul
ValueCountFrequency (%)
도 935
 
6.6%
시 648
 
4.6%
면 627
 
4.5%
길 599
 
4.3%
로 546
 
3.9%
경 464
 
3.3%
산 427
 
3.0%
남 414
 
2.9%
군 414
 
2.9%
북 410
 
2.9%
Other values (310) 8588
61.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

제품명
Text

Distinct901
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2024-03-23T07:25:53.284117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length417
Median length188
Mean length25.40282
Min length3

Characters and Unicode

Total characters25225
Distinct characters632
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique836 ?
Unique (%)84.2%

Sample

1st row 치즈라면밥
2nd row 마루원 꼬리곰탕, 마루원 사골곰탕
3rd row 투다리소양념갈비찜
4th row 투다리치킨텐더, 투다리팝콘형치킨, 투다리순살닭다리살튀김
5th row 통등심돈까스K
ValueCountFrequency (%)
포기김치 57
 
1.7%
열무김치 56
 
1.7%
깍두기 56
 
1.7%
총각김치 54
 
1.6%
백김치 50
 
1.5%
갓김치 40
 
1.2%
맛김치 35
 
1.0%
파김치 28
 
0.8%
보쌈김치 25
 
0.7%
참기름 25
 
0.7%
Other values (2138) 2949
87.4%
2024-03-23T07:25:54.671139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3395
 
13.5%
, 1966
 
7.8%
치 1099
 
4.4%
김 1073
 
4.3%
기 659
 
2.6%
장 590
 
2.3%
고 351
 
1.4%
리 336
 
1.3%
두 286
 
1.1%
이 283
 
1.1%
Other values (622) 15187
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19043
75.5%
Space Separator 3395
 
13.5%
Other Punctuation 1983
 
7.9%
Open Punctuation 213
 
0.8%
Close Punctuation 213
 
0.8%
Decimal Number 199
 
0.8%
Uppercase Letter 103
 
0.4%
Lowercase Letter 39
 
0.2%
Math Symbol 20
 
0.1%
Dash Punctuation 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 1099
 
5.8%
김 1073
 
5.6%
기 659
 
3.5%
장 590
 
3.1%
고 351
 
1.8%
리 336
 
1.8%
두 286
 
1.5%
이 283
 
1.5%
추 260
 
1.4%
지 242
 
1.3%
Other values (565) 13864
72.8%
Uppercase Letter
ValueCountFrequency (%)
N 22
21.4%
P 19
18.4%
S 13
12.6%
K 9
8.7%
H 6
 
5.8%
T 5
 
4.9%
C 5
 
4.9%
E 4
 
3.9%
I 3
 
2.9%
D 3
 
2.9%
Other values (7) 14
13.6%
Lowercase Letter
ValueCountFrequency (%)
g 6
15.4%
e 5
12.8%
u 4
10.3%
r 3
 
7.7%
i 3
 
7.7%
o 2
 
5.1%
s 2
 
5.1%
t 2
 
5.1%
a 2
 
5.1%
n 2
 
5.1%
Other values (5) 8
20.5%
Decimal Number
ValueCountFrequency (%)
1 48
24.1%
0 39
19.6%
4 22
11.1%
2 20
10.1%
7 17
 
8.5%
3 14
 
7.0%
5 13
 
6.5%
9 12
 
6.0%
6 12
 
6.0%
8 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 1966
99.1%
/ 7
 
0.4%
& 5
 
0.3%
% 2
 
0.1%
. 1
 
0.1%
? 1
 
0.1%
! 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 19
95.0%
∼ 1
 
5.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
3395
100.0%
Open Punctuation
ValueCountFrequency (%)
( 213
100.0%
Close Punctuation
ValueCountFrequency (%)
) 213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19028
75.4%
Common 6037
 
23.9%
Latin 145
 
0.6%
Han 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 1099
 
5.8%
김 1073
 
5.6%
기 659
 
3.5%
장 590
 
3.1%
고 351
 
1.8%
리 336
 
1.8%
두 286
 
1.5%
이 283
 
1.5%
추 260
 
1.4%
지 242
 
1.3%
Other values (558) 13849
72.8%
Latin
ValueCountFrequency (%)
N 22
15.2%
P 19
 
13.1%
S 13
 
9.0%
K 9
 
6.2%
H 6
 
4.1%
g 6
 
4.1%
e 5
 
3.4%
T 5
 
3.4%
C 5
 
3.4%
E 4
 
2.8%
Other values (24) 51
35.2%
Common
ValueCountFrequency (%)
3395
56.2%
, 1966
32.6%
( 213
 
3.5%
) 213
 
3.5%
1 48
 
0.8%
0 39
 
0.6%
4 22
 
0.4%
2 20
 
0.3%
~ 19
 
0.3%
7 17
 
0.3%
Other values (13) 85
 
1.4%
Han
ValueCountFrequency (%)
秀 4
26.7%
心 2
13.3%
米 2
13.3%
純 2
13.3%
安 2
13.3%
作 2
13.3%
愛 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19028
75.4%
ASCII 6178
 
24.5%
CJK 15
 
0.1%
Number Forms 3
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3395
55.0%
, 1966
31.8%
( 213
 
3.4%
) 213
 
3.4%
1 48
 
0.8%
0 39
 
0.6%
N 22
 
0.4%
4 22
 
0.4%
2 20
 
0.3%
P 19
 
0.3%
Other values (44) 221
 
3.6%
Hangul
ValueCountFrequency (%)
치 1099
 
5.8%
김 1073
 
5.6%
기 659
 
3.5%
장 590
 
3.1%
고 351
 
1.8%
리 336
 
1.8%
두 286
 
1.5%
이 283
 
1.5%
추 260
 
1.4%
지 242
 
1.3%
Other values (558) 13849
72.8%
CJK
ValueCountFrequency (%)
秀 4
26.7%
心 2
13.3%
米 2
13.3%
純 2
13.3%
安 2
13.3%
作 2
13.3%
愛 1
 
6.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

Correlations

2024-03-23T07:25:55.040167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증구분인증기관
인증구분1.0000.224
인증기관0.2241.000
2024-03-23T07:25:55.339222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증기관인증구분
인증기관1.0000.144
인증구분0.1441.000
2024-03-23T07:25:55.592920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증구분인증기관
인증구분1.0000.144
인증기관0.1441.000

Missing values

2024-03-23T07:25:44.425024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:25:44.876141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

인증구분인증번호인증기관인증일자인증시작일인증종료일인증업체주소제품명
0KS인증식품연 제2022-13호한국식품연구원2023-01-022022-12-302999-12-31농업회사법인(주)두리두리충청남도 논산시 성동면 산업단지로2길 45치즈라면밥
1KS인증식품연 제2022-12호한국식품연구원2022-10-242022-08-222999-12-31(주)한일식품경상남도 진주시 대곡면 대화로 68마루원 꼬리곰탕, 마루원 사골곰탕
2KS인증식품연 제2022-11호한국식품연구원2022-05-192022-03-312999-12-31(주)그린충청남도 서산시 고북면 고북4로 356-54투다리소양념갈비찜
3KS인증식품연 제2022-10호한국식품연구원2022-05-192022-03-312999-12-31(주)그린충청남도 서산시 고북면 고북4로 356-54투다리치킨텐더, 투다리팝콘형치킨, 투다리순살닭다리살튀김
4KS인증식품연 제2022-09호한국식품연구원2022-05-192022-03-312999-12-31(주)미트뱅크 제2공장인천광역시 서구 소담1로 30 (금곡동)통등심돈까스K
5KS인증식품연 제2022-08호한국식품연구원2022-05-192022-03-312999-12-31(주)미트뱅크 제2공장인천광역시 서구 소담1로 30 (금곡동)동그랑땡K, 불고기패티2형, 함박스테이크K, 키토미트볼
6KS인증식품연 제2022-07호한국식품연구원2022-05-192022-03-142999-12-31(주)미트밸리경상남도 창원시 진해구 안골로 156 (안골동)카바노치소시지, 목장앤참숯비엔, 갈비맛소시
7KS인증식품연 제2022-06호한국식품연구원2022-05-192022-03-142999-12-31(주)미트밸리경상남도 창원시 진해구 안골로 156 (안골동)비어맛햄
8KS인증식품연 제2022-05호한국식품연구원2022-05-192022-03-142999-12-31(주)복천식품경기도 이천시 경충대로 2994-35 (사음동)복천탕수육, 복천돈까스
9KS인증식품연 제2022-03호한국식품연구원2022-05-192022-02-072999-12-31(주)한맥푸드경기도 남양주시 진접읍 금강로1845번길 103타르타르소스, 머스타드소스
인증구분인증번호인증기관인증일자인증시작일인증종료일인증업체주소제품명
983전통식품인증식품연 전통 제061호한국식품연구원2019-09-061995-06-052999-12-31㈜임진강김치경기도 연천군 청산면 학담로 81가람가온총각김치, 막김치, 마음심은배윤자김치, 동치미, 가람가온갓김치, 가람가온깍두기, 가람가온열무김치, 석박지, 포기김치, 보쌈김치, 나박김치, 겉절이, 가람가온파김치, 가람가온백김치, 오이김치
984전통식품인증식품연 전통 제060호한국식품연구원2022-08-181995-06-052999-12-31한국농협김치조합공동사업법인 연천지사경기도 연천군 청산면 평화로 283국민포기김치, 오색소반백김치, 오색소반묵은지, 오색소반나박김치, 오색소반석박지, 오색소반포기김치, 오색소반보쌈김치, 오색소반갓김치, 오색소반동치미, 오색소반열무김치, 오색소반맛김치, 오색소반깍두기, 아름찬포기김치, 오색소반깻잎김치, 오색소반겉절이, 오색소반오이김치, 오색소반총각김치, 오색소반파김치
985전통식품인증식품연 전통 제059호한국식품연구원2019-03-211995-06-012999-12-31지평농협가공공장경기도 양평군 지평면 월산길 101토움한식된장, 토움쥐눈이콩된장
986전통식품인증식품연 전통 제048호한국식품연구원2022-10-181994-10-152999-12-31양구전통한과영농조합법인강원도 양구군 양구읍 박수근로85번길 20검은깨(흑임자)유과, 참깨유과, 찹쌀유과
987전통식품인증식품연 전통 제044호한국식품연구원2022-10-071993-11-302999-12-31유민식품 농업회사법인(주)전라남도 해남군 황산면 시등로 129-7귀빈의 간
988전통식품인증식품연 전통 제043호한국식품연구원2022-10-071993-11-302999-12-31유민식품 농업회사법인(주)전라남도 해남군 황산면 시등로 129-7귀빈의 된장
989전통식품인증식품연 전통 제042호한국식품연구원2022-10-071993-11-302999-12-31유민식품 농업회사법인(주)전라남도 해남군 황산면 시등로 129-7귀빈의 찹쌀고추장
990전통식품인증식품연 전통 제012호한국식품연구원2019-03-211993-03-222999-12-31농업회사법인 호정식품(주)전라남도 담양군 창평면 창평현로 766장평쌀조청
991전통식품인증식품연 전통 제011호한국식품연구원2019-03-211993-03-222999-12-31농업회사법인 호정식품(주)전라남도 담양군 창평면 창평현로 766창평쌀엿
992전통식품인증식품연 전통 제007호한국식품연구원2019-03-201992-03-062999-12-31신궁전통한과경기도 포천시 소흘읍 정금로74번길 38흑임자깨강정, 달콤한유과, 참깨강정