Overview

Dataset statistics

Number of variables10
Number of observations699
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.7 KiB
Average record size in memory80.2 B

Variable types

Categorical3
Text5
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

인증기관 has constant value ""Constant
인증종료일 has constant value ""Constant
인증번호 has unique valuesUnique

Reproduction

Analysis started2024-03-23 07:25:58.125054
Analysis finished2024-03-23 07:26:00.698281
Duration2.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증구분
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
전통식품인증
589 
KS인증
110 

Length

Max length6
Median length6
Mean length5.6852647
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전통식품인증 589
84.3%
KS인증 110
 
15.7%

Length

2024-03-23T07:26:00.940580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:26:01.327575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전통식품인증 589
84.3%
ks인증 110
 
15.7%

인증번호
Text

UNIQUE 

Distinct699
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-03-23T07:26:01.878510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.157368
Min length12

Characters and Unicode

Total characters8498
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

Unique699 ?
Unique (%)100.0%

Sample

1st row식품연 제2017-09호
2nd row식품연 제2017-08호
3rd row식품연 제2017-06호
4th row식품연 제2017-05호
5th row식품연 제2017-04호
ValueCountFrequency (%)
식품연 699
35.2%
전통 589
29.6%
제527호 1
 
0.1%
제511호 1
 
0.1%
제507호 1
 
0.1%
제506호 1
 
0.1%
제505호 1
 
0.1%
제504호 1
 
0.1%
제503호 1
 
0.1%
제499호 1
 
0.1%
Other values (691) 691
34.8%
2024-03-23T07:26:02.864319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1288
15.2%
식 699
 
8.2%
품 699
 
8.2%
연 699
 
8.2%
제 699
 
8.2%
호 699
 
8.2%
전 589
 
6.9%
통 589
 
6.9%
0 337
 
4.0%
1 315
 
3.7%
Other values (9) 1885
22.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4673
55.0%
Decimal Number 2427
28.6%
Space Separator 1288
 
15.2%
Dash Punctuation 110
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 337
13.9%
1 315
13.0%
2 276
11.4%
8 241
9.9%
7 227
9.4%
6 219
9.0%
5 214
8.8%
3 204
8.4%
4 202
8.3%
9 192
7.9%
Other Letter
ValueCountFrequency (%)
식 699
15.0%
품 699
15.0%
연 699
15.0%
제 699
15.0%
호 699
15.0%
전 589
12.6%
통 589
12.6%
Space Separator
ValueCountFrequency (%)
1288
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4673
55.0%
Common 3825
45.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1288
33.7%
0 337
 
8.8%
1 315
 
8.2%
2 276
 
7.2%
8 241
 
6.3%
7 227
 
5.9%
6 219
 
5.7%
5 214
 
5.6%
3 204
 
5.3%
4 202
 
5.3%
Other values (2) 302
 
7.9%
Hangul
ValueCountFrequency (%)
식 699
15.0%
품 699
15.0%
연 699
15.0%
제 699
15.0%
호 699
15.0%
전 589
12.6%
통 589
12.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4673
55.0%
ASCII 3825
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1288
33.7%
0 337
 
8.8%
1 315
 
8.2%
2 276
 
7.2%
8 241
 
6.3%
7 227
 
5.9%
6 219
 
5.7%
5 214
 
5.6%
3 204
 
5.3%
4 202
 
5.3%
Other values (2) 302
 
7.9%
Hangul
ValueCountFrequency (%)
식 699
15.0%
품 699
15.0%
연 699
15.0%
제 699
15.0%
호 699
15.0%
전 589
12.6%
통 589
12.6%

인증기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
한국식품연구원
699 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국식품연구원 699
100.0%

Length

2024-03-23T07:26:03.284987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:26:03.587307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국식품연구원 699
100.0%

인증일자
Date

Distinct152
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
Minimum1973-03-08 00:00:00
Maximum2018-08-20 00:00:00
2024-03-23T07:26:03.887802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:26:04.315372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증시작일
Date

Distinct317
Distinct (%)45.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
Minimum1967-07-15 00:00:00
Maximum2018-03-05 00:00:00
2024-03-23T07:26:04.729352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:26:05.199457image/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 size5.6 KiB
2999-12-31
699 

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 (%)
2999-12-31 699
100.0%

Length

2024-03-23T07:26:05.731723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:26:05.904099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2999-12-31 699
100.0%

인증업체
Text

Distinct449
Distinct (%)64.2%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-03-23T07:26:06.256050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length8.7625179
Min length2

Characters and Unicode

Total characters6125
Distinct characters350
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 (%)44.8%

Sample

1st row(주)오뗄
2nd row(주)오뗄
3rd row(주)하이푸드텍
4th row영양제과㈜
5th row(주)남부식품
ValueCountFrequency (%)
농업회사법인 40
 
4.8%
영농조합법인 32
 
3.8%
세원식품 6
 
0.7%
남안동농협가공사업소 6
 
0.7%
동양종합식품㈜ 6
 
0.7%
주)오뚜기 6
 
0.7%
영양산마을 5
 
0.6%
주)율곡 5
 
0.6%
㈜복천식품 5
 
0.6%
안동제비원전통식품㈜ 5
 
0.6%
Other values (472) 718
86.1%
2024-03-23T07:26:07.115057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 319
 
5.2%
인 251
 
4.1%
법 233
 
3.8%
식 232
 
3.8%
품 227
 
3.7%
주 209
 
3.4%
) 196
 
3.2%
( 196
 
3.2%
합 164
 
2.7%
사 154
 
2.5%
Other values (340) 3944
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5408
88.3%
Close Punctuation 196
 
3.2%
Open Punctuation 196
 
3.2%
Other Symbol 140
 
2.3%
Space Separator 136
 
2.2%
Decimal Number 23
 
0.4%
Uppercase Letter 19
 
0.3%
Other Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 319
 
5.9%
인 251
 
4.6%
법 233
 
4.3%
식 232
 
4.3%
품 227
 
4.2%
주 209
 
3.9%
합 164
 
3.0%
사 154
 
2.8%
영 148
 
2.7%
조 147
 
2.7%
Other values (327) 3324
61.5%
Uppercase Letter
ValueCountFrequency (%)
F 10
52.6%
S 5
26.3%
C 2
 
10.5%
B 1
 
5.3%
N 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
2 16
69.6%
1 6
 
26.1%
3 1
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 196
100.0%
Open Punctuation
ValueCountFrequency (%)
( 196
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 140
100.0%
Space Separator
ValueCountFrequency (%)
136
100.0%
Other Punctuation
ValueCountFrequency (%)
& 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5548
90.6%
Common 558
 
9.1%
Latin 19
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 319
 
5.7%
인 251
 
4.5%
법 233
 
4.2%
식 232
 
4.2%
품 227
 
4.1%
주 209
 
3.8%
합 164
 
3.0%
사 154
 
2.8%
영 148
 
2.7%
조 147
 
2.6%
Other values (328) 3464
62.4%
Common
ValueCountFrequency (%)
) 196
35.1%
( 196
35.1%
136
24.4%
2 16
 
2.9%
& 7
 
1.3%
1 6
 
1.1%
3 1
 
0.2%
Latin
ValueCountFrequency (%)
F 10
52.6%
S 5
26.3%
C 2
 
10.5%
B 1
 
5.3%
N 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5408
88.3%
ASCII 577
 
9.4%
None 140
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 319
 
5.9%
인 251
 
4.6%
법 233
 
4.3%
식 232
 
4.3%
품 227
 
4.2%
주 209
 
3.9%
합 164
 
3.0%
사 154
 
2.8%
영 148
 
2.7%
조 147
 
2.7%
Other values (327) 3324
61.5%
ASCII
ValueCountFrequency (%)
) 196
34.0%
( 196
34.0%
136
23.6%
2 16
 
2.8%
F 10
 
1.7%
& 7
 
1.2%
1 6
 
1.0%
S 5
 
0.9%
C 2
 
0.3%
B 1
 
0.2%
Other values (2) 2
 
0.3%
None
ValueCountFrequency (%)
㈜ 140
100.0%

대표자명
Text

Distinct415
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-03-23T07:26:07.778399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.130186
Min length2

Characters and Unicode

Total characters2188
Distinct characters178
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

Unique272 ?
Unique (%)38.9%

Sample

1st row김연태
2nd row김연태
3rd row정화진
4th row유인순
5th row서희영
ValueCountFrequency (%)
김종덕 8
 
1.1%
곽상용 6
 
0.9%
나지원 6
 
0.9%
이명춘 6
 
0.9%
강상훈 6
 
0.9%
김정희 6
 
0.9%
권기섭 6
 
0.9%
이숙희 5
 
0.7%
최명희 5
 
0.7%
이인우 5
 
0.7%
Other values (408) 645
91.6%
2024-03-23T07:26:09.151639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 145
 
6.6%
이 112
 
5.1%
정 91
 
4.2%
희 66
 
3.0%
박 60
 
2.7%
영 53
 
2.4%
순 51
 
2.3%
최 46
 
2.1%
종 38
 
1.7%
경 38
 
1.7%
Other values (168) 1488
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2156
98.5%
Other Punctuation 21
 
1.0%
Space Separator 9
 
0.4%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 145
 
6.7%
이 112
 
5.2%
정 91
 
4.2%
희 66
 
3.1%
박 60
 
2.8%
영 53
 
2.5%
순 51
 
2.4%
최 46
 
2.1%
종 38
 
1.8%
경 38
 
1.8%
Other values (165) 1456
67.5%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2156
98.5%
Common 32
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 145
 
6.7%
이 112
 
5.2%
정 91
 
4.2%
희 66
 
3.1%
박 60
 
2.8%
영 53
 
2.5%
순 51
 
2.4%
최 46
 
2.1%
종 38
 
1.8%
경 38
 
1.8%
Other values (165) 1456
67.5%
Common
ValueCountFrequency (%)
, 21
65.6%
9
28.1%
1 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2156
98.5%
ASCII 32
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 145
 
6.7%
이 112
 
5.2%
정 91
 
4.2%
희 66
 
3.1%
박 60
 
2.8%
영 53
 
2.5%
순 51
 
2.4%
최 46
 
2.1%
종 38
 
1.8%
경 38
 
1.8%
Other values (165) 1456
67.5%
ASCII
ValueCountFrequency (%)
, 21
65.6%
9
28.1%
1 2
 
6.2%

주소
Text

Distinct448
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-03-23T07:26:10.309151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length23.449213
Min length15

Characters and Unicode

Total characters16391
Distinct characters346
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

Unique306 ?
Unique (%)43.8%

Sample

1st row경기도 포천시 신북면 청신로 2028
2nd row경기도 포천시 신북면 청신로 2028
3rd row충청남도 금산군 금성면 금성공단로 41
4th row충청북도 충주시 신니면 덕고개로 255
5th row경상남도 사천시 남일로 370 (사등동)
ValueCountFrequency (%)
경기도 203
 
5.6%
경상북도 84
 
2.3%
충청남도 74
 
2.0%
전라북도 68
 
1.9%
전라남도 64
 
1.8%
충청북도 54
 
1.5%
경상남도 49
 
1.4%
강원도 43
 
1.2%
순창군 27
 
0.7%
순창읍 27
 
0.7%
Other values (1350) 2917
80.8%
2024-03-23T07:26:11.623276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2924
 
17.8%
도 680
 
4.1%
1 549
 
3.3%
시 437
 
2.7%
면 424
 
2.6%
길 406
 
2.5%
2 366
 
2.2%
경 363
 
2.2%
로 355
 
2.2%
군 318
 
1.9%
Other values (336) 9569
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10044
61.3%
Space Separator 2924
 
17.8%
Decimal Number 2677
 
16.3%
Dash Punctuation 312
 
1.9%
Close Punctuation 188
 
1.1%
Open Punctuation 188
 
1.1%
Uppercase Letter 28
 
0.2%
Lowercase Letter 15
 
0.1%
Other Punctuation 14
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 680
 
6.8%
시 437
 
4.4%
면 424
 
4.2%
길 406
 
4.0%
경 363
 
3.6%
로 355
 
3.5%
군 318
 
3.2%
남 266
 
2.6%
동 246
 
2.4%
북 246
 
2.4%
Other values (302) 6303
62.8%
Uppercase Letter
ValueCountFrequency (%)
F 5
17.9%
A 3
10.7%
O 3
10.7%
S 2
 
7.1%
T 2
 
7.1%
L 2
 
7.1%
C 2
 
7.1%
D 1
 
3.6%
M 1
 
3.6%
B 1
 
3.6%
Other values (6) 6
21.4%
Decimal Number
ValueCountFrequency (%)
1 549
20.5%
2 366
13.7%
3 292
10.9%
5 278
10.4%
6 240
9.0%
4 216
 
8.1%
0 201
 
7.5%
9 189
 
7.1%
8 177
 
6.6%
7 169
 
6.3%
Lowercase Letter
ValueCountFrequency (%)
o 10
66.7%
d 5
33.3%
Space Separator
ValueCountFrequency (%)
2924
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 312
100.0%
Close Punctuation
ValueCountFrequency (%)
) 188
100.0%
Open Punctuation
ValueCountFrequency (%)
( 188
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10045
61.3%
Common 6303
38.5%
Latin 43
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 680
 
6.8%
시 437
 
4.4%
면 424
 
4.2%
길 406
 
4.0%
경 363
 
3.6%
로 355
 
3.5%
군 318
 
3.2%
남 266
 
2.6%
동 246
 
2.4%
북 246
 
2.4%
Other values (303) 6304
62.8%
Latin
ValueCountFrequency (%)
o 10
23.3%
F 5
11.6%
d 5
11.6%
A 3
 
7.0%
O 3
 
7.0%
S 2
 
4.7%
T 2
 
4.7%
L 2
 
4.7%
C 2
 
4.7%
D 1
 
2.3%
Other values (8) 8
18.6%
Common
ValueCountFrequency (%)
2924
46.4%
1 549
 
8.7%
2 366
 
5.8%
- 312
 
5.0%
3 292
 
4.6%
5 278
 
4.4%
6 240
 
3.8%
4 216
 
3.4%
0 201
 
3.2%
9 189
 
3.0%
Other values (5) 736
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10044
61.3%
ASCII 6346
38.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2924
46.1%
1 549
 
8.7%
2 366
 
5.8%
- 312
 
4.9%
3 292
 
4.6%
5 278
 
4.4%
6 240
 
3.8%
4 216
 
3.4%
0 201
 
3.2%
9 189
 
3.0%
Other values (23) 779
 
12.3%
Hangul
ValueCountFrequency (%)
도 680
 
6.8%
시 437
 
4.4%
면 424
 
4.2%
길 406
 
4.0%
경 363
 
3.6%
로 355
 
3.5%
군 318
 
3.2%
남 266
 
2.6%
동 246
 
2.4%
북 246
 
2.4%
Other values (302) 6303
62.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

제품명
Text

Distinct657
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size5.6 KiB
2024-03-23T07:26:12.019200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length247
Median length143
Mean length24.238913
Min length3

Characters and Unicode

Total characters16943
Distinct characters540
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique630 ?
Unique (%)90.1%

Sample

1st row 세볼랏, 미니에센
2nd row 터키브레스트햄
3rd row 하이미트볼, 불고기패티, 하이팝콘형치킨
4th row 쌀건빵, 비상식량(건빵)
5th row 웰씨꼬리곰탕
ValueCountFrequency (%)
깍두기 63
 
2.9%
총각김치 56
 
2.6%
포기김치 53
 
2.5%
열무김치 53
 
2.5%
백김치 38
 
1.8%
갓김치 32
 
1.5%
막김치 26
 
1.2%
맛김치 19
 
0.9%
보쌈김치 18
 
0.8%
떡국떡 17
 
0.8%
Other values (1474) 1781
82.6%
2024-03-23T07:26:12.841469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2212
 
13.1%
, 1375
 
8.1%
치 836
 
4.9%
김 820
 
4.8%
기 501
 
3.0%
장 393
 
2.3%
두 255
 
1.5%
고 202
 
1.2%
( 192
 
1.1%
) 191
 
1.1%
Other values (530) 9966
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12618
74.5%
Space Separator 2212
 
13.1%
Other Punctuation 1396
 
8.2%
Decimal Number 208
 
1.2%
Open Punctuation 192
 
1.1%
Close Punctuation 191
 
1.1%
Math Symbol 43
 
0.3%
Uppercase Letter 36
 
0.2%
Lowercase Letter 25
 
0.1%
Dash Punctuation 15
 
0.1%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 836
 
6.6%
김 820
 
6.5%
기 501
 
4.0%
장 393
 
3.1%
두 255
 
2.0%
고 202
 
1.6%
추 190
 
1.5%
리 180
 
1.4%
국 161
 
1.3%
포 150
 
1.2%
Other values (488) 8930
70.8%
Lowercase Letter
ValueCountFrequency (%)
l 4
16.0%
e 4
16.0%
r 3
12.0%
g 2
8.0%
v 2
8.0%
s 2
8.0%
h 2
8.0%
y 2
8.0%
a 2
8.0%
x 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 64
30.8%
0 42
20.2%
3 18
 
8.7%
4 17
 
8.2%
6 16
 
7.7%
5 15
 
7.2%
7 14
 
6.7%
9 13
 
6.2%
2 7
 
3.4%
8 2
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
P 16
44.4%
H 6
 
16.7%
I 6
 
16.7%
F 2
 
5.6%
S 2
 
5.6%
E 1
 
2.8%
M 1
 
2.8%
B 1
 
2.8%
C 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 1375
98.5%
/ 8
 
0.6%
% 7
 
0.5%
& 6
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 39
90.7%
∼ 4
 
9.3%
Space Separator
ValueCountFrequency (%)
2212
100.0%
Open Punctuation
ValueCountFrequency (%)
( 192
100.0%
Close Punctuation
ValueCountFrequency (%)
) 191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
100.0%
Other Symbol
ValueCountFrequency (%)
° 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12612
74.4%
Common 4260
 
25.1%
Latin 65
 
0.4%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 836
 
6.6%
김 820
 
6.5%
기 501
 
4.0%
장 393
 
3.1%
두 255
 
2.0%
고 202
 
1.6%
추 190
 
1.5%
리 180
 
1.4%
국 161
 
1.3%
포 150
 
1.2%
Other values (486) 8924
70.8%
Common
ValueCountFrequency (%)
2212
51.9%
, 1375
32.3%
( 192
 
4.5%
) 191
 
4.5%
1 64
 
1.5%
0 42
 
1.0%
~ 39
 
0.9%
3 18
 
0.4%
4 17
 
0.4%
6 16
 
0.4%
Other values (11) 94
 
2.2%
Latin
ValueCountFrequency (%)
P 16
24.6%
H 6
 
9.2%
I 6
 
9.2%
Ⅱ 4
 
6.2%
l 4
 
6.2%
e 4
 
6.2%
r 3
 
4.6%
g 2
 
3.1%
F 2
 
3.1%
v 2
 
3.1%
Other values (11) 16
24.6%
Han
ValueCountFrequency (%)
秀 4
66.7%
作 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12612
74.4%
ASCII 4314
 
25.5%
CJK 6
 
< 0.1%
Number Forms 4
 
< 0.1%
Math Operators 4
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2212
51.3%
, 1375
31.9%
( 192
 
4.5%
) 191
 
4.4%
1 64
 
1.5%
0 42
 
1.0%
~ 39
 
0.9%
3 18
 
0.4%
4 17
 
0.4%
P 16
 
0.4%
Other values (29) 148
 
3.4%
Hangul
ValueCountFrequency (%)
치 836
 
6.6%
김 820
 
6.5%
기 501
 
4.0%
장 393
 
3.1%
두 255
 
2.0%
고 202
 
1.6%
추 190
 
1.5%
리 180
 
1.4%
국 161
 
1.3%
포 150
 
1.2%
Other values (486) 8924
70.8%
CJK
ValueCountFrequency (%)
秀 4
66.7%
作 2
33.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
100.0%
Math Operators
ValueCountFrequency (%)
∼ 4
100.0%
None
ValueCountFrequency (%)
° 3
100.0%

Missing values

2024-03-23T07:25:59.958267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:26:00.516279image/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

인증구분인증번호인증기관인증일자인증시작일인증종료일인증업체대표자명주소제품명
0KS인증식품연 제2017-09호한국식품연구원2017-08-302017-03-272999-12-31(주)오뗄김연태경기도 포천시 신북면 청신로 2028세볼랏, 미니에센
1KS인증식품연 제2017-08호한국식품연구원2017-08-302017-03-272999-12-31(주)오뗄김연태경기도 포천시 신북면 청신로 2028터키브레스트햄
2KS인증식품연 제2017-06호한국식품연구원2017-08-302017-03-272999-12-31(주)하이푸드텍정화진충청남도 금산군 금성면 금성공단로 41하이미트볼, 불고기패티, 하이팝콘형치킨
3KS인증식품연 제2017-05호한국식품연구원2017-08-302017-03-162999-12-31영양제과㈜유인순충청북도 충주시 신니면 덕고개로 255쌀건빵, 비상식량(건빵)
4KS인증식품연 제2017-04호한국식품연구원2017-08-302017-03-162999-12-31(주)남부식품서희영경상남도 사천시 남일로 370 (사등동)웰씨꼬리곰탕
5KS인증식품연 제2017-03호한국식품연구원2017-08-302017-03-162999-12-31(주)남부식품서희영경상남도 사천시 남일로 370 (사등동)웰씨자장소스, 웰씨카레소스, 웰씨해물비빔소스, 웰씨육고기비빔소스
6KS인증식품연 제2017-02호한국식품연구원2017-08-302017-03-132999-12-31오뚜기제유(주)박종락충청북도 음성군 생극면 음성로 1506-27오쉐프팜기름
7KS인증식품연 제2017-01호한국식품연구원2017-08-302016-03-132999-12-31오뚜기제유(주)박종락충청북도 음성군 생극면 음성로 1506-27순후추
8KS인증식품연 제2016-20호한국식품연구원2017-08-302016-12-152999-12-31세복식품이연수경기도 포천시 일동면 정자골1길 86-132세복딸기쨈
9KS인증식품연 제2016-19호한국식품연구원2017-08-302016-11-042999-12-31농업회사법인유한회사 피오레문선웅전라북도 부안군 주산면 주산동로 88햄버거식빵, 핫도그빵
인증구분인증번호인증기관인증일자인증시작일인증종료일인증업체대표자명주소제품명
689전통식품인증식품연 전통 제060호한국식품연구원2017-07-031995-06-052999-12-31경기농협식품조합공동사업법인양인호경기도 연천군 청산면 평화로 283 (전곡농협청산김치가공공장)오색소반수포기김치, 오색소반수깍두기, 국민포기김치, 오색소반백김치, 오색소반석박지, 오색소반포기김치, 오색소반보쌈김치, 오색소반열무김치, 오색소반맛김치, 오색소반깍두기, 오색소반수석박지, 오색소반총각김치, 오색소반파김치, 오색소반수맛김치
690전통식품인증식품연 전통 제059호한국식품연구원1995-06-011995-06-012999-12-31지평농업협동조합이춘원경기도 양평군 지제면 월산리 1169-1된장
691전통식품인증식품연 전통 제048호한국식품연구원2011-05-061994-10-152999-12-31양구전통한과영농조합법인김정예강원도 양구군 양구읍 이리 84-2검은깨(흑임자)강정, 참깨강정, 참쌀강정
692전통식품인증식품연 전통 제044호한국식품연구원1993-11-301993-11-302999-12-31귀빈식품한안자전라남도 해남군 황산면 남리리 28-5이삭원한국간장
693전통식품인증식품연 전통 제043호한국식품연구원1993-11-301993-11-302999-12-31귀빈식품한안자전라남도 해남군 황산면 남리리 28-5이삭원한국된장
694전통식품인증식품연 전통 제042호한국식품연구원2017-07-031993-11-302999-12-31귀빈식품한안자전라남도 해남군 황산면 시등로 129-7 (귀빈식품)이삭원찹쌀고추장
695전통식품인증식품연 전통 제012호한국식품연구원2017-07-031993-03-222999-12-31농업회사법인㈜호정식품유영군전라남도 담양군 창평면 창평현로 766쌀조청
696전통식품인증식품연 전통 제011호한국식품연구원2017-07-031993-03-222999-12-31농업회사법인㈜호정식품유영군전라남도 담양군 창평면 창평현로 766창평쌀엿 대바구니석, 호정가합격엿합격의맛, 청평쌀엿
697전통식품인증식품연 전통 제007호한국식품연구원2015-07-141992-03-062999-12-31신궁전통한과김규흔경기도 포천시 영중면 먼재길 62하늘가조청유과
698전통식품인증식품연 전통 제002호한국식품연구원2014-06-251992-01-072999-12-31(주)갈골한과명인식품김주희강원도 강릉시 사천면 중앙서로 70(석교리 998)찹쌀강정, 찹쌀과줄