Overview

Dataset statistics

Number of variables9
Number of observations1065
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.0 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

Reproduction

Analysis started2024-04-17 18:12:48.485101
Analysis finished2024-04-17 18:12:49.234170
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
전통식품인증
905 
KS인증
160 

Length

Max length6
Median length6
Mean length5.6995305
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전통식품인증 905
85.0%
KS인증 160
 
15.0%

Length

2024-04-18T03:12:49.287459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:12:49.363257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전통식품인증 905
85.0%
ks인증 160
 
15.0%

인증번호
Text

Distinct973
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2024-04-18T03:12:49.574954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.496714
Min length12

Characters and Unicode

Total characters13309
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

Unique881 ?
Unique (%)82.7%

Sample

1st row식품연 제2022-13호
2nd row식품연 제2022-12호
3rd row식품연 제2022-11호
4th row식품연 제2022-10호
5th row식품연 제2022-09호
ValueCountFrequency (%)
식품연 1065
35.1%
전통 905
29.8%
제1098호 2
 
0.1%
제706호 2
 
0.1%
제1105호 2
 
0.1%
제1104호 2
 
0.1%
제1103호 2
 
0.1%
제589호 2
 
0.1%
제588호 2
 
0.1%
제1100호 2
 
0.1%
Other values (965) 1049
34.6%
2024-04-18T03:12:49.888680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1970
14.8%
식 1065
 
8.0%
호 1065
 
8.0%
연 1065
 
8.0%
제 1065
 
8.0%
품 1065
 
8.0%
전 905
 
6.8%
통 905
 
6.8%
1 878
 
6.6%
2 572
 
4.3%
Other values (9) 2754
20.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7135
53.6%
Decimal Number 4044
30.4%
Space Separator 1970
 
14.8%
Dash Punctuation 160
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 878
21.7%
2 572
14.1%
0 565
14.0%
3 344
 
8.5%
9 320
 
7.9%
8 310
 
7.7%
6 270
 
6.7%
4 268
 
6.6%
5 265
 
6.6%
7 252
 
6.2%
Other Letter
ValueCountFrequency (%)
식 1065
14.9%
호 1065
14.9%
연 1065
14.9%
제 1065
14.9%
품 1065
14.9%
전 905
12.7%
통 905
12.7%
Space Separator
ValueCountFrequency (%)
1970
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7135
53.6%
Common 6174
46.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1970
31.9%
1 878
14.2%
2 572
 
9.3%
0 565
 
9.2%
3 344
 
5.6%
9 320
 
5.2%
8 310
 
5.0%
6 270
 
4.4%
4 268
 
4.3%
5 265
 
4.3%
Other values (2) 412
 
6.7%
Hangul
ValueCountFrequency (%)
식 1065
14.9%
호 1065
14.9%
연 1065
14.9%
제 1065
14.9%
품 1065
14.9%
전 905
12.7%
통 905
12.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7135
53.6%
ASCII 6174
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1970
31.9%
1 878
14.2%
2 572
 
9.3%
0 565
 
9.2%
3 344
 
5.6%
9 320
 
5.2%
8 310
 
5.0%
6 270
 
4.4%
4 268
 
4.3%
5 265
 
4.3%
Other values (2) 412
 
6.7%
Hangul
ValueCountFrequency (%)
식 1065
14.9%
호 1065
14.9%
연 1065
14.9%
제 1065
14.9%
품 1065
14.9%
전 905
12.7%
통 905
12.7%

인증기관
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
한국식품연구원
896 
주식회사 푸름인증원
169 

Length

Max length10
Median length7
Mean length7.4760563
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국식품연구원 896
84.1%
주식회사 푸름인증원 169
 
15.9%

Length

2024-04-18T03:12:49.995228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:12:50.067851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국식품연구원 896
72.6%
주식회사 169
 
13.7%
푸름인증원 169
 
13.7%

인증일자
Date

Distinct241
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
Minimum2013-06-25 00:00:00
Maximum2024-03-18 00:00:00
2024-04-18T03:12:50.146489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:50.250906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증시작일
Date

Distinct450
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
Minimum1967-07-15 00:00:00
Maximum2024-02-28 00:00:00
2024-04-18T03:12:50.353551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T03:12:50.666890image/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 size8.4 KiB
2999-12-31
1065 

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 1065
100.0%

Length

2024-04-18T03:12:50.764655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T03:12:50.831480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2999-12-31 1065
100.0%

인증업체
Text

Distinct561
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2024-04-18T03:12:50.985764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length9.3896714
Min length2

Characters and Unicode

Total characters10000
Distinct characters384
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

Unique309 ?
Unique (%)29.0%

Sample

1st row농업회사법인(주)두리두리
2nd row(주)한일식품
3rd row(주)그린
4th row(주)그린
5th row(주)미트뱅크 제2공장
ValueCountFrequency (%)
농업회사법인 129
 
9.1%
영농조합법인 78
 
5.5%
주식회사 34
 
2.4%
남안동농협가공사업소 12
 
0.8%
농업회사법인(주 11
 
0.8%
안동제비원전통식품㈜ 10
 
0.7%
주)태림에프웰 8
 
0.6%
홍천시골된장 8
 
0.6%
청양고추랜드 8
 
0.6%
순창장본가전통식품 8
 
0.6%
Other values (597) 1119
78.5%
2024-04-18T03:12:51.284904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 552
 
5.5%
인 417
 
4.2%
법 401
 
4.0%
주 388
 
3.9%
369
 
3.7%
사 353
 
3.5%
식 327
 
3.3%
) 326
 
3.3%
( 326
 
3.3%
업 288
 
2.9%
Other values (374) 6253
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8759
87.6%
Space Separator 369
 
3.7%
Close Punctuation 326
 
3.3%
Open Punctuation 326
 
3.3%
Other Symbol 151
 
1.5%
Decimal Number 32
 
0.3%
Uppercase Letter 26
 
0.3%
Other Punctuation 11
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 552
 
6.3%
인 417
 
4.8%
법 401
 
4.6%
주 388
 
4.4%
사 353
 
4.0%
식 327
 
3.7%
업 288
 
3.3%
품 287
 
3.3%
회 287
 
3.3%
합 216
 
2.5%
Other values (359) 5243
59.9%
Uppercase Letter
ValueCountFrequency (%)
F 12
46.2%
S 7
26.9%
B 3
 
11.5%
K 1
 
3.8%
I 1
 
3.8%
M 1
 
3.8%
C 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
2 21
65.6%
1 10
31.2%
3 1
 
3.1%
Space Separator
ValueCountFrequency (%)
369
100.0%
Close Punctuation
ValueCountFrequency (%)
) 326
100.0%
Open Punctuation
ValueCountFrequency (%)
( 326
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 151
100.0%
Other Punctuation
ValueCountFrequency (%)
& 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8910
89.1%
Common 1064
 
10.6%
Latin 26
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 552
 
6.2%
인 417
 
4.7%
법 401
 
4.5%
주 388
 
4.4%
사 353
 
4.0%
식 327
 
3.7%
업 288
 
3.2%
품 287
 
3.2%
회 287
 
3.2%
합 216
 
2.4%
Other values (360) 5394
60.5%
Common
ValueCountFrequency (%)
369
34.7%
) 326
30.6%
( 326
30.6%
2 21
 
2.0%
& 11
 
1.0%
1 10
 
0.9%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
F 12
46.2%
S 7
26.9%
B 3
 
11.5%
K 1
 
3.8%
I 1
 
3.8%
M 1
 
3.8%
C 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8759
87.6%
ASCII 1090
 
10.9%
None 151
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 552
 
6.3%
인 417
 
4.8%
법 401
 
4.6%
주 388
 
4.4%
사 353
 
4.0%
식 327
 
3.7%
업 288
 
3.3%
품 287
 
3.3%
회 287
 
3.3%
합 216
 
2.5%
Other values (359) 5243
59.9%
ASCII
ValueCountFrequency (%)
369
33.9%
) 326
29.9%
( 326
29.9%
2 21
 
1.9%
F 12
 
1.1%
& 11
 
1.0%
1 10
 
0.9%
S 7
 
0.6%
B 3
 
0.3%
K 1
 
0.1%
Other values (4) 4
 
0.4%
None
ValueCountFrequency (%)
㈜ 151
100.0%

주소
Text

Distinct556
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2024-04-18T03:12:51.561250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length23.707042
Min length15

Characters and Unicode

Total characters25248
Distinct characters354
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

Unique307 ?
Unique (%)28.8%

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 229
 
4.2%
충청남도 166
 
3.0%
경상북도 136
 
2.5%
전북특별자치도 111
 
2.0%
충청북도 90
 
1.6%
전라남도 87
 
1.6%
경상남도 72
 
1.3%
강원특별자치도 67
 
1.2%
순창군 34
 
0.6%
광주광역시 30
 
0.5%
Other values (1578) 4433
81.3%
2024-04-18T03:12:51.937428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4451
 
17.6%
도 999
 
4.0%
1 900
 
3.6%
시 685
 
2.7%
면 673
 
2.7%
길 663
 
2.6%
2 588
 
2.3%
로 570
 
2.3%
3 516
 
2.0%
경 482
 
1.9%
Other values (344) 14721
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15718
62.3%
Space Separator 4451
 
17.6%
Decimal Number 4117
 
16.3%
Dash Punctuation 479
 
1.9%
Open Punctuation 203
 
0.8%
Close Punctuation 203
 
0.8%
Other Punctuation 26
 
0.1%
Uppercase Letter 26
 
0.1%
Lowercase Letter 24
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 999
 
6.4%
시 685
 
4.4%
면 673
 
4.3%
길 663
 
4.2%
로 570
 
3.6%
경 482
 
3.1%
산 461
 
2.9%
군 457
 
2.9%
남 452
 
2.9%
북 430
 
2.7%
Other values (312) 9846
62.6%
Uppercase Letter
ValueCountFrequency (%)
F 8
30.8%
L 2
 
7.7%
A 2
 
7.7%
T 2
 
7.7%
O 2
 
7.7%
C 2
 
7.7%
S 1
 
3.8%
I 1
 
3.8%
X 1
 
3.8%
W 1
 
3.8%
Other values (4) 4
15.4%
Decimal Number
ValueCountFrequency (%)
1 900
21.9%
2 588
14.3%
3 516
12.5%
5 380
9.2%
4 328
 
8.0%
6 318
 
7.7%
0 294
 
7.1%
7 268
 
6.5%
8 266
 
6.5%
9 259
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
o 16
66.7%
d 8
33.3%
Space Separator
ValueCountFrequency (%)
4451
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 479
100.0%
Open Punctuation
ValueCountFrequency (%)
( 203
100.0%
Close Punctuation
ValueCountFrequency (%)
) 203
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15719
62.3%
Common 9479
37.5%
Latin 50
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 999
 
6.4%
시 685
 
4.4%
면 673
 
4.3%
길 663
 
4.2%
로 570
 
3.6%
경 482
 
3.1%
산 461
 
2.9%
군 457
 
2.9%
남 452
 
2.9%
북 430
 
2.7%
Other values (313) 9847
62.6%
Latin
ValueCountFrequency (%)
o 16
32.0%
d 8
16.0%
F 8
16.0%
L 2
 
4.0%
A 2
 
4.0%
T 2
 
4.0%
O 2
 
4.0%
C 2
 
4.0%
S 1
 
2.0%
I 1
 
2.0%
Other values (6) 6
 
12.0%
Common
ValueCountFrequency (%)
4451
47.0%
1 900
 
9.5%
2 588
 
6.2%
3 516
 
5.4%
- 479
 
5.1%
5 380
 
4.0%
4 328
 
3.5%
6 318
 
3.4%
0 294
 
3.1%
7 268
 
2.8%
Other values (5) 957
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15718
62.3%
ASCII 9529
37.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4451
46.7%
1 900
 
9.4%
2 588
 
6.2%
3 516
 
5.4%
- 479
 
5.0%
5 380
 
4.0%
4 328
 
3.4%
6 318
 
3.3%
0 294
 
3.1%
7 268
 
2.8%
Other values (21) 1007
 
10.6%
Hangul
ValueCountFrequency (%)
도 999
 
6.4%
시 685
 
4.4%
면 673
 
4.3%
길 663
 
4.2%
로 570
 
3.6%
경 482
 
3.1%
산 461
 
2.9%
군 457
 
2.9%
남 452
 
2.9%
북 430
 
2.7%
Other values (312) 9846
62.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

제품명
Text

Distinct944
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2024-04-18T03:12:52.174440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length417
Median length202
Mean length25.457277
Min length3

Characters and Unicode

Total characters27112
Distinct characters641
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

Unique852 ?
Unique (%)80.0%

Sample

1st row 치즈라면밥
2nd row 마루원 꼬리곰탕, 마루원 사골곰탕
3rd row 투다리소양념갈비찜
4th row 투다리치킨텐더, 투다리팝콘형치킨, 투다리순살닭다리살튀김
5th row 통등심돈까스K
ValueCountFrequency (%)
포기김치 63
 
1.7%
열무김치 61
 
1.6%
깍두기 59
 
1.6%
총각김치 58
 
1.6%
백김치 55
 
1.5%
갓김치 43
 
1.2%
맛김치 38
 
1.0%
참기름 36
 
1.0%
파김치 32
 
0.9%
들기름 31
 
0.8%
Other values (2240) 3227
87.1%
2024-04-18T03:12:52.538274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3723
 
13.7%
, 2091
 
7.7%
치 1132
 
4.2%
김 1115
 
4.1%
기 722
 
2.7%
장 660
 
2.4%
고 383
 
1.4%
리 355
 
1.3%
이 314
 
1.2%
두 286
 
1.1%
Other values (631) 16331
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20452
75.4%
Space Separator 3723
 
13.7%
Other Punctuation 2112
 
7.8%
Close Punctuation 219
 
0.8%
Open Punctuation 219
 
0.8%
Decimal Number 196
 
0.7%
Uppercase Letter 100
 
0.4%
Lowercase Letter 54
 
0.2%
Math Symbol 20
 
0.1%
Dash Punctuation 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 1132
 
5.5%
김 1115
 
5.5%
기 722
 
3.5%
장 660
 
3.2%
고 383
 
1.9%
리 355
 
1.7%
이 314
 
1.5%
두 286
 
1.4%
추 286
 
1.4%
국 262
 
1.3%
Other values (569) 14937
73.0%
Uppercase Letter
ValueCountFrequency (%)
N 22
22.0%
P 19
19.0%
S 11
11.0%
K 9
9.0%
H 6
 
6.0%
C 5
 
5.0%
T 5
 
5.0%
E 4
 
4.0%
I 3
 
3.0%
G 3
 
3.0%
Other values (7) 13
13.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
13.0%
g 6
11.1%
a 4
 
7.4%
r 4
 
7.4%
m 4
 
7.4%
i 4
 
7.4%
s 4
 
7.4%
u 4
 
7.4%
o 2
 
3.7%
p 2
 
3.7%
Other values (7) 13
24.1%
Decimal Number
ValueCountFrequency (%)
1 48
24.5%
0 39
19.9%
4 21
10.7%
2 20
10.2%
7 17
 
8.7%
3 13
 
6.6%
5 13
 
6.6%
9 12
 
6.1%
6 10
 
5.1%
8 3
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 2091
99.0%
/ 7
 
0.3%
& 5
 
0.2%
. 3
 
0.1%
' 2
 
0.1%
% 2
 
0.1%
! 1
 
< 0.1%
? 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 218
99.5%
] 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 218
99.5%
[ 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 19
95.0%
∼ 1
 
5.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Space Separator
ValueCountFrequency (%)
3723
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20433
75.4%
Common 6503
 
24.0%
Latin 157
 
0.6%
Han 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 1132
 
5.5%
김 1115
 
5.5%
기 722
 
3.5%
장 660
 
3.2%
고 383
 
1.9%
리 355
 
1.7%
이 314
 
1.5%
두 286
 
1.4%
추 286
 
1.4%
국 262
 
1.3%
Other values (561) 14918
73.0%
Latin
ValueCountFrequency (%)
N 22
 
14.0%
P 19
 
12.1%
S 11
 
7.0%
K 9
 
5.7%
e 7
 
4.5%
H 6
 
3.8%
g 6
 
3.8%
C 5
 
3.2%
T 5
 
3.2%
a 4
 
2.5%
Other values (26) 63
40.1%
Common
ValueCountFrequency (%)
3723
57.3%
, 2091
32.2%
) 218
 
3.4%
( 218
 
3.4%
1 48
 
0.7%
0 39
 
0.6%
4 21
 
0.3%
2 20
 
0.3%
~ 19
 
0.3%
7 17
 
0.3%
Other values (16) 89
 
1.4%
Han
ValueCountFrequency (%)
秀 6
31.6%
安 2
 
10.5%
米 2
 
10.5%
心 2
 
10.5%
純 2
 
10.5%
愛 2
 
10.5%
作 2
 
10.5%
生 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20433
75.4%
ASCII 6656
 
24.6%
CJK 19
 
0.1%
Number Forms 3
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3723
55.9%
, 2091
31.4%
) 218
 
3.3%
( 218
 
3.3%
1 48
 
0.7%
0 39
 
0.6%
N 22
 
0.3%
4 21
 
0.3%
2 20
 
0.3%
P 19
 
0.3%
Other values (49) 237
 
3.6%
Hangul
ValueCountFrequency (%)
치 1132
 
5.5%
김 1115
 
5.5%
기 722
 
3.5%
장 660
 
3.2%
고 383
 
1.9%
리 355
 
1.7%
이 314
 
1.5%
두 286
 
1.4%
추 286
 
1.4%
국 262
 
1.3%
Other values (561) 14918
73.0%
CJK
ValueCountFrequency (%)
秀 6
31.6%
安 2
 
10.5%
米 2
 
10.5%
心 2
 
10.5%
純 2
 
10.5%
愛 2
 
10.5%
作 2
 
10.5%
生 1
 
5.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
66.7%
Ⅰ 1
33.3%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

Correlations

2024-04-18T03:12:52.612387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증구분인증기관
인증구분1.0000.274
인증기관0.2741.000
2024-04-18T03:12:52.674267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증구분인증기관
인증구분1.0000.176
인증기관0.1761.000
2024-04-18T03:12:52.744351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인증구분인증기관
인증구분1.0000.176
인증기관0.1761.000

Missing values

2024-04-18T03:12:49.085174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T03:12:49.190539image/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
1055전통식품인증식품연 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
1056전통식품인증식품연 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
1057전통식품인증식품연 전통 제059호한국식품연구원2023-09-081995-06-012999-12-31지평농업협동조합 가공공장경기도 양평군 지평면 월산길 101토움한식된장, 토움쥐눈이콩된장
1058전통식품인증식품연 전통 제048호한국식품연구원2022-10-181994-10-152999-12-31양구전통한과영농조합법인강원특별자치도 양구군 양구읍 박수근로85번길 20검은깨(흑임자)유과, 참깨유과, 찹쌀유과
1059전통식품인증식품연 전통 제044호한국식품연구원2022-10-071993-11-302999-12-31유민식품 농업회사법인(주)전라남도 해남군 황산면 시등로 129-7귀빈의 간
1060전통식품인증식품연 전통 제043호한국식품연구원2022-10-071993-11-302999-12-31유민식품 농업회사법인(주)전라남도 해남군 황산면 시등로 129-7귀빈의 된장
1061전통식품인증식품연 전통 제042호한국식품연구원2022-10-071993-11-302999-12-31유민식품 농업회사법인(주)전라남도 해남군 황산면 시등로 129-7귀빈의 찹쌀고추장
1062전통식품인증식품연 전통 제012호한국식품연구원2019-03-211993-03-222999-12-31농업회사법인 호정식품(주)전라남도 담양군 창평면 창평현로 766장평쌀조청
1063전통식품인증식품연 전통 제011호한국식품연구원2019-03-211993-03-222999-12-31농업회사법인 호정식품(주)전라남도 담양군 창평면 창평현로 766창평쌀엿
1064전통식품인증식품연 전통 제007호한국식품연구원2019-03-201992-03-062999-12-31신궁전통한과경기도 포천시 소흘읍 정금로74번길 38흑임자깨강정, 달콤한유과, 참깨강정