Overview

Dataset statistics

Number of variables10
Number of observations896
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory70.1 KiB
Average record size in memory80.1 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 07:25:11.416309
Analysis finished2024-03-23 07:25:14.108101
Duration2.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증구분
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
전통식품인증
730 
KS인증
166 

Length

Max length6
Median length6
Mean length5.6294643
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전통식품인증 730
81.5%
KS인증 166
 
18.5%

Length

2024-03-23T07:25:14.349605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:25:14.690551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전통식품인증 730
81.5%
ks인증 166
 
18.5%

인증번호
Text

UNIQUE 

Distinct896
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2024-03-23T07:25:15.219625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.390625
Min length12

Characters and Unicode

Total characters11102
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

Unique896 ?
Unique (%)100.0%

Sample

1st row식품연 제2020-43호
2nd row식품연 제2020-41호
3rd row식품연 제2020-40호
4th row식품연 제2020-39호
5th row식품연 제2020-38호
ValueCountFrequency (%)
식품연 896
35.5%
전통 730
28.9%
제613호 1
 
< 0.1%
제293호 1
 
< 0.1%
제338호 1
 
< 0.1%
제336호 1
 
< 0.1%
제332호 1
 
< 0.1%
제328호 1
 
< 0.1%
제324호 1
 
< 0.1%
제323호 1
 
< 0.1%
Other values (888) 888
35.2%
2024-03-23T07:25:16.052393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1626
14.6%
식 896
 
8.1%
품 896
 
8.1%
연 896
 
8.1%
제 896
 
8.1%
호 896
 
8.1%
전 730
 
6.6%
통 730
 
6.6%
1 644
 
5.8%
0 550
 
5.0%
Other values (9) 2342
21.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5940
53.5%
Decimal Number 3370
30.4%
Space Separator 1626
 
14.6%
Dash Punctuation 166
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 644
19.1%
0 550
16.3%
2 407
12.1%
9 287
8.5%
8 277
8.2%
7 250
 
7.4%
6 250
 
7.4%
3 241
 
7.2%
5 235
 
7.0%
4 229
 
6.8%
Other Letter
ValueCountFrequency (%)
식 896
15.1%
품 896
15.1%
연 896
15.1%
제 896
15.1%
호 896
15.1%
전 730
12.3%
통 730
12.3%
Space Separator
ValueCountFrequency (%)
1626
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5940
53.5%
Common 5162
46.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1626
31.5%
1 644
 
12.5%
0 550
 
10.7%
2 407
 
7.9%
9 287
 
5.6%
8 277
 
5.4%
7 250
 
4.8%
6 250
 
4.8%
3 241
 
4.7%
5 235
 
4.6%
Other values (2) 395
 
7.7%
Hangul
ValueCountFrequency (%)
식 896
15.1%
품 896
15.1%
연 896
15.1%
제 896
15.1%
호 896
15.1%
전 730
12.3%
통 730
12.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5940
53.5%
ASCII 5162
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1626
31.5%
1 644
 
12.5%
0 550
 
10.7%
2 407
 
7.9%
9 287
 
5.6%
8 277
 
5.4%
7 250
 
4.8%
6 250
 
4.8%
3 241
 
4.7%
5 235
 
4.6%
Other values (2) 395
 
7.7%
Hangul
ValueCountFrequency (%)
식 896
15.1%
품 896
15.1%
연 896
15.1%
제 896
15.1%
호 896
15.1%
전 730
12.3%
통 730
12.3%

인증기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
한국식품연구원
896 

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 896
100.0%

Length

2024-03-23T07:25:16.321203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:25:16.521280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국식품연구원 896
100.0%

인증일자
Date

Distinct171
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
Minimum2013-05-16 00:00:00
Maximum2021-03-18 00:00:00
2024-03-23T07:25:17.042250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:25:17.480884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증시작일
Date

Distinct374
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
Minimum1967-07-15 00:00:00
Maximum2020-12-21 00:00:00
2024-03-23T07:25:17.922482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:25:18.500478image/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 size7.1 KiB
2999-12-31
896 

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 (%)
2999-12-31 896
100.0%

Length

2024-03-23T07:25:18.900297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:25:19.514324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2999-12-31 896
100.0%

인증업체
Text

Distinct535
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2024-03-23T07:25:19.962358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.9453125
Min length2

Characters and Unicode

Total characters8015
Distinct characters378
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

Unique338 ?
Unique (%)37.7%

Sample

1st row㈜깊은숲속행복한식품
2nd row농업회사법인 한백냉장식품(주)
3rd row㈜푸른가족 농업회사법인
4th row㈜더비
5th row㈜하림
ValueCountFrequency (%)
농업회사법인 79
 
7.0%
영농조합법인 67
 
5.9%
주식회사 7
 
0.6%
남안동농협가공사업소 6
 
0.5%
주)오뚜기 6
 
0.5%
주)율곡 5
 
0.4%
문경한식된장 5
 
0.4%
농업회사법인(주)선재전통식품 5
 
0.4%
서일농원 5
 
0.4%
주)디아이 5
 
0.4%
Other values (565) 940
83.2%
2024-03-23T07:25:20.802148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 427
 
5.3%
인 339
 
4.2%
법 321
 
4.0%
주 313
 
3.9%
( 285
 
3.6%
) 285
 
3.6%
식 272
 
3.4%
품 266
 
3.3%
238
 
3.0%
사 226
 
2.8%
Other values (368) 5043
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6986
87.2%
Open Punctuation 285
 
3.6%
Close Punctuation 285
 
3.6%
Space Separator 238
 
3.0%
Other Symbol 159
 
2.0%
Decimal Number 33
 
0.4%
Uppercase Letter 20
 
0.2%
Other Punctuation 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 427
 
6.1%
인 339
 
4.9%
법 321
 
4.6%
주 313
 
4.5%
식 272
 
3.9%
품 266
 
3.8%
사 226
 
3.2%
업 207
 
3.0%
회 187
 
2.7%
합 187
 
2.7%
Other values (355) 4241
60.7%
Uppercase Letter
ValueCountFrequency (%)
F 10
50.0%
S 5
25.0%
B 3
 
15.0%
K 1
 
5.0%
C 1
 
5.0%
Decimal Number
ValueCountFrequency (%)
2 22
66.7%
1 10
30.3%
3 1
 
3.0%
Open Punctuation
ValueCountFrequency (%)
( 285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 285
100.0%
Space Separator
ValueCountFrequency (%)
238
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 159
100.0%
Other Punctuation
ValueCountFrequency (%)
& 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7145
89.1%
Common 850
 
10.6%
Latin 20
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 427
 
6.0%
인 339
 
4.7%
법 321
 
4.5%
주 313
 
4.4%
식 272
 
3.8%
품 266
 
3.7%
사 226
 
3.2%
업 207
 
2.9%
회 187
 
2.6%
합 187
 
2.6%
Other values (356) 4400
61.6%
Common
ValueCountFrequency (%)
( 285
33.5%
) 285
33.5%
238
28.0%
2 22
 
2.6%
1 10
 
1.2%
& 9
 
1.1%
3 1
 
0.1%
Latin
ValueCountFrequency (%)
F 10
50.0%
S 5
25.0%
B 3
 
15.0%
K 1
 
5.0%
C 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6986
87.2%
ASCII 870
 
10.9%
None 159
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 427
 
6.1%
인 339
 
4.9%
법 321
 
4.6%
주 313
 
4.5%
식 272
 
3.9%
품 266
 
3.8%
사 226
 
3.2%
업 207
 
3.0%
회 187
 
2.7%
합 187
 
2.7%
Other values (355) 4241
60.7%
ASCII
ValueCountFrequency (%)
( 285
32.8%
) 285
32.8%
238
27.4%
2 22
 
2.5%
F 10
 
1.1%
1 10
 
1.1%
& 9
 
1.0%
S 5
 
0.6%
B 3
 
0.3%
K 1
 
0.1%
Other values (2) 2
 
0.2%
None
ValueCountFrequency (%)
㈜ 159
100.0%

대표자명
Text

Distinct493
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2024-03-23T07:25:21.760598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length3.2924107
Min length2

Characters and Unicode

Total characters2950
Distinct characters181
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

Unique292 ?
Unique (%)32.6%

Sample

1st row정문주
2nd row김정희, 정영표
3rd row이 필 수
4th row김 용 태
5th row김홍국 외2명
ValueCountFrequency (%)
이정완 9
 
0.9%
김정희 9
 
0.9%
김 9
 
0.9%
윤 8
 
0.8%
영 7
 
0.7%
정 7
 
0.7%
곽상용 6
 
0.6%
김종덕 6
 
0.6%
이강훈 6
 
0.6%
이명춘 6
 
0.6%
Other values (520) 939
92.8%
2024-03-23T07:25:23.360534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 195
 
6.6%
정 146
 
4.9%
이 141
 
4.8%
117
 
4.0%
영 106
 
3.6%
희 78
 
2.6%
박 73
 
2.5%
순 61
 
2.1%
수 53
 
1.8%
경 48
 
1.6%
Other values (171) 1932
65.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2794
94.7%
Space Separator 117
 
4.0%
Other Punctuation 34
 
1.2%
Decimal Number 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 195
 
7.0%
정 146
 
5.2%
이 141
 
5.0%
영 106
 
3.8%
희 78
 
2.8%
박 73
 
2.6%
순 61
 
2.2%
수 53
 
1.9%
경 48
 
1.7%
최 47
 
1.7%
Other values (167) 1846
66.1%
Decimal Number
ValueCountFrequency (%)
1 4
80.0%
2 1
 
20.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2794
94.7%
Common 156
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 195
 
7.0%
정 146
 
5.2%
이 141
 
5.0%
영 106
 
3.8%
희 78
 
2.8%
박 73
 
2.6%
순 61
 
2.2%
수 53
 
1.9%
경 48
 
1.7%
최 47
 
1.7%
Other values (167) 1846
66.1%
Common
ValueCountFrequency (%)
117
75.0%
, 34
 
21.8%
1 4
 
2.6%
2 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2794
94.7%
ASCII 156
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 195
 
7.0%
정 146
 
5.2%
이 141
 
5.0%
영 106
 
3.8%
희 78
 
2.8%
박 73
 
2.6%
순 61
 
2.2%
수 53
 
1.9%
경 48
 
1.7%
최 47
 
1.7%
Other values (167) 1846
66.1%
ASCII
ValueCountFrequency (%)
117
75.0%
, 34
 
21.8%
1 4
 
2.6%
2 1
 
0.6%

주소
Text

Distinct524
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2024-03-23T07:25:24.056368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length22.996652
Min length14

Characters and Unicode

Total characters20605
Distinct characters347
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

Unique321 ?
Unique (%)35.8%

Sample

1st row전라북도 익산시 여산면 옥금동길 235
2nd row경기도 안산시 단원구 시화로 109
3rd row경기도 화성시 안녕길 66 (안녕동)
4th row경기도 평택시 청북읍 현곡길 79-36
5th row전라북도 익산시 망성면 망성로 14
ValueCountFrequency (%)
경기도 217
 
4.7%
충청남도 130
 
2.8%
경상북도 93
 
2.0%
전라북도 91
 
2.0%
전라남도 83
 
1.8%
충청북도 78
 
1.7%
경상남도 59
 
1.3%
강원도 55
 
1.2%
순창군 28
 
0.6%
안성시 27
 
0.6%
Other values (1503) 3708
81.2%
2024-03-23T07:25:25.062319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3716
 
18.0%
도 850
 
4.1%
1 717
 
3.5%
시 574
 
2.8%
면 566
 
2.7%
길 528
 
2.6%
로 508
 
2.5%
2 493
 
2.4%
3 409
 
2.0%
경 401
 
1.9%
Other values (337) 11843
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12626
61.3%
Space Separator 3716
 
18.0%
Decimal Number 3440
 
16.7%
Dash Punctuation 398
 
1.9%
Open Punctuation 184
 
0.9%
Close Punctuation 184
 
0.9%
Uppercase Letter 22
 
0.1%
Other Punctuation 19
 
0.1%
Lowercase Letter 15
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 850
 
6.7%
시 574
 
4.5%
면 566
 
4.5%
길 528
 
4.2%
로 508
 
4.0%
경 401
 
3.2%
군 392
 
3.1%
남 391
 
3.1%
산 331
 
2.6%
북 322
 
2.6%
Other values (305) 7763
61.5%
Uppercase Letter
ValueCountFrequency (%)
F 5
22.7%
O 2
 
9.1%
C 2
 
9.1%
T 2
 
9.1%
L 2
 
9.1%
X 1
 
4.5%
R 1
 
4.5%
S 1
 
4.5%
E 1
 
4.5%
I 1
 
4.5%
Other values (4) 4
18.2%
Decimal Number
ValueCountFrequency (%)
1 717
20.8%
2 493
14.3%
3 409
11.9%
5 314
9.1%
4 289
8.4%
6 268
 
7.8%
0 258
 
7.5%
8 240
 
7.0%
7 230
 
6.7%
9 222
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
o 10
66.7%
d 5
33.3%
Space Separator
ValueCountFrequency (%)
3716
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 398
100.0%
Open Punctuation
ValueCountFrequency (%)
( 184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 184
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12627
61.3%
Common 7941
38.5%
Latin 37
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 850
 
6.7%
시 574
 
4.5%
면 566
 
4.5%
길 528
 
4.2%
로 508
 
4.0%
경 401
 
3.2%
군 392
 
3.1%
남 391
 
3.1%
산 331
 
2.6%
북 322
 
2.6%
Other values (306) 7764
61.5%
Latin
ValueCountFrequency (%)
o 10
27.0%
d 5
13.5%
F 5
13.5%
O 2
 
5.4%
C 2
 
5.4%
T 2
 
5.4%
L 2
 
5.4%
X 1
 
2.7%
R 1
 
2.7%
S 1
 
2.7%
Other values (6) 6
16.2%
Common
ValueCountFrequency (%)
3716
46.8%
1 717
 
9.0%
2 493
 
6.2%
3 409
 
5.2%
- 398
 
5.0%
5 314
 
4.0%
4 289
 
3.6%
6 268
 
3.4%
0 258
 
3.2%
8 240
 
3.0%
Other values (5) 839
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12626
61.3%
ASCII 7978
38.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3716
46.6%
1 717
 
9.0%
2 493
 
6.2%
3 409
 
5.1%
- 398
 
5.0%
5 314
 
3.9%
4 289
 
3.6%
6 268
 
3.4%
0 258
 
3.2%
8 240
 
3.0%
Other values (21) 876
 
11.0%
Hangul
ValueCountFrequency (%)
도 850
 
6.7%
시 574
 
4.5%
면 566
 
4.5%
길 528
 
4.2%
로 508
 
4.0%
경 401
 
3.2%
군 392
 
3.1%
남 391
 
3.1%
산 331
 
2.6%
북 322
 
2.6%
Other values (305) 7763
61.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

제품명
Text

Distinct835
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size7.1 KiB
2024-03-23T07:25:25.605430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length396
Median length174
Mean length24.660714
Min length3

Characters and Unicode

Total characters22096
Distinct characters604
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

Unique808 ?
Unique (%)90.2%

Sample

1st row 그랜맘파 검은곡물죽, 그랜맘파 담백찹쌀 흰죽
2nd row 매실피클, 오이피클
3rd row 쇠고기야채웰빙죽프리믹스, 검은깨타락죽프리믹스, 쇠고기야채미음(스프)프리믹스, 검은깨영양컵죽, 표고버섯야채발효쌀죽프리믹스
4th row 한끼
5th row 하림치킨너겟
ValueCountFrequency (%)
깍두기 57
 
2.0%
열무김치 54
 
1.9%
포기김치 53
 
1.9%
총각김치 51
 
1.8%
백김치 46
 
1.6%
갓김치 40
 
1.4%
맛김치 30
 
1.1%
파김치 24
 
0.9%
보쌈김치 23
 
0.8%
떡국떡 18
 
0.6%
Other values (1983) 2419
85.9%
2024-03-23T07:25:26.551889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2841
 
12.9%
, 1776
 
8.0%
치 1030
 
4.7%
김 1010
 
4.6%
기 656
 
3.0%
장 530
 
2.4%
고 296
 
1.3%
두 289
 
1.3%
리 275
 
1.2%
추 236
 
1.1%
Other values (594) 13157
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16740
75.8%
Space Separator 2841
 
12.9%
Other Punctuation 1788
 
8.1%
Close Punctuation 204
 
0.9%
Open Punctuation 204
 
0.9%
Decimal Number 191
 
0.9%
Uppercase Letter 59
 
0.3%
Math Symbol 37
 
0.2%
Lowercase Letter 15
 
0.1%
Dash Punctuation 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 1030
 
6.2%
김 1010
 
6.0%
기 656
 
3.9%
장 530
 
3.2%
고 296
 
1.8%
두 289
 
1.7%
리 275
 
1.6%
추 236
 
1.4%
이 222
 
1.3%
국 220
 
1.3%
Other values (542) 11976
71.5%
Uppercase Letter
ValueCountFrequency (%)
P 16
27.1%
H 7
11.9%
I 7
11.9%
S 5
 
8.5%
T 3
 
5.1%
A 3
 
5.1%
K 3
 
5.1%
D 3
 
5.1%
E 2
 
3.4%
G 2
 
3.4%
Other values (8) 8
13.6%
Lowercase Letter
ValueCountFrequency (%)
g 4
26.7%
i 2
13.3%
e 1
 
6.7%
h 1
 
6.7%
r 1
 
6.7%
x 1
 
6.7%
s 1
 
6.7%
u 1
 
6.7%
l 1
 
6.7%
m 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 57
29.8%
0 28
14.7%
4 24
12.6%
6 16
 
8.4%
5 15
 
7.9%
3 15
 
7.9%
9 13
 
6.8%
2 12
 
6.3%
7 11
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 1776
99.3%
/ 5
 
0.3%
& 5
 
0.3%
! 1
 
0.1%
% 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 34
91.9%
∼ 2
 
5.4%
∥ 1
 
2.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
2841
100.0%
Close Punctuation
ValueCountFrequency (%)
) 204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16730
75.7%
Common 5277
 
23.9%
Latin 79
 
0.4%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 1030
 
6.2%
김 1010
 
6.0%
기 656
 
3.9%
장 530
 
3.2%
고 296
 
1.8%
두 289
 
1.7%
리 275
 
1.6%
추 236
 
1.4%
이 222
 
1.3%
국 220
 
1.3%
Other values (538) 11966
71.5%
Latin
ValueCountFrequency (%)
P 16
20.3%
H 7
 
8.9%
I 7
 
8.9%
S 5
 
6.3%
g 4
 
5.1%
Ⅱ 4
 
5.1%
T 3
 
3.8%
A 3
 
3.8%
K 3
 
3.8%
D 3
 
3.8%
Other values (21) 24
30.4%
Common
ValueCountFrequency (%)
2841
53.8%
, 1776
33.7%
) 204
 
3.9%
( 204
 
3.9%
1 57
 
1.1%
~ 34
 
0.6%
0 28
 
0.5%
4 24
 
0.5%
6 16
 
0.3%
5 15
 
0.3%
Other values (11) 78
 
1.5%
Han
ValueCountFrequency (%)
秀 4
40.0%
作 2
20.0%
米 2
20.0%
純 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16730
75.7%
ASCII 5348
 
24.2%
CJK 10
 
< 0.1%
Number Forms 5
 
< 0.1%
Math Operators 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2841
53.1%
, 1776
33.2%
) 204
 
3.8%
( 204
 
3.8%
1 57
 
1.1%
~ 34
 
0.6%
0 28
 
0.5%
4 24
 
0.4%
6 16
 
0.3%
P 16
 
0.3%
Other values (38) 148
 
2.8%
Hangul
ValueCountFrequency (%)
치 1030
 
6.2%
김 1010
 
6.0%
기 656
 
3.9%
장 530
 
3.2%
고 296
 
1.8%
두 289
 
1.7%
리 275
 
1.6%
추 236
 
1.4%
이 222
 
1.3%
국 220
 
1.3%
Other values (538) 11966
71.5%
CJK
ValueCountFrequency (%)
秀 4
40.0%
作 2
20.0%
米 2
20.0%
純 2
20.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
80.0%
Ⅰ 1
 
20.0%
Math Operators
ValueCountFrequency (%)
∼ 2
66.7%
∥ 1
33.3%

Missing values

2024-03-23T07:25:13.414661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:25:13.920049image/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 제2020-43호한국식품연구원2021-01-282020-12-072999-12-31㈜깊은숲속행복한식품정문주전라북도 익산시 여산면 옥금동길 235그랜맘파 검은곡물죽, 그랜맘파 담백찹쌀 흰죽
1KS인증식품연 제2020-41호한국식품연구원2020-12-072020-09-072999-12-31농업회사법인 한백냉장식품(주)김정희, 정영표경기도 안산시 단원구 시화로 109매실피클, 오이피클
2KS인증식품연 제2020-40호한국식품연구원2020-12-072020-08-312999-12-31㈜푸른가족 농업회사법인이 필 수경기도 화성시 안녕길 66 (안녕동)쇠고기야채웰빙죽프리믹스, 검은깨타락죽프리믹스, 쇠고기야채미음(스프)프리믹스, 검은깨영양컵죽, 표고버섯야채발효쌀죽프리믹스
3KS인증식품연 제2020-39호한국식품연구원2020-12-072020-08-312999-12-31㈜더비김 용 태경기도 평택시 청북읍 현곡길 79-36한끼
4KS인증식품연 제2020-38호한국식품연구원2020-12-072020-08-192999-12-31㈜하림김홍국 외2명전라북도 익산시 망성면 망성로 14하림치킨너겟
5KS인증식품연 제2020-37호한국식품연구원2020-07-062020-06-012999-12-31㈜미트뱅크김영준인천광역시 서구 단봉로36번길 23 (오류동)굽네탱글탱글닭가슴살볼콘맛, 굽네닭가슴살오븐스테이크콘맛
6KS인증식품연 제2020-36호한국식품연구원2020-07-062020-04-232999-12-31㈜미트뱅크김영준인천광역시 서구 단봉로36번길 23 (오류동)레겐스부르거소시지
7KS인증식품연 제2020-35호한국식품연구원2020-07-062020-06-012999-12-31㈜미트뱅크김영준인천광역시 서구 단봉로36번길 23 (오류동)소불고기양념V, 진돈양념
8KS인증식품연 제2020-33호한국식품연구원2020-07-062020-04-232999-12-31(주)샬롬김정매전라남도 나주시 왕곡면 여시물길 10카레비빔밥(건조), 야채비빔밥(건조), 닭고기비빔밥(건조), 해물비빔밥(건조), 잡채밥(건조), 김치비빔밥(건조), 쇠고기고추장비빔밥(건조)
9KS인증식품연 제2020-32호한국식품연구원2020-07-062020-04-232999-12-31매일식품(주)오상호전라남도 순천시 서면 산단1길 16매일맛있는양념쌈장
인증구분인증번호인증기관인증일자인증시작일인증종료일인증업체대표자명주소제품명
886전통식품인증식품연 전통 제060호한국식품연구원2019-09-041995-06-052999-12-31경기농협식품조합공동사업법인이우복경기도 연천군 청산면 평화로 283 (전곡농협청산김치가공공장)국민포기김치, 오색소반백김치, 오색소반묵은지, 오색소반나박김치, 오색소반석박지, 오색소반포기김치, 오색소반보쌈김치, 오색소반갓김치, 오색소반동치미, 오색소반열무김치, 오색소반맛김치, 오색소반깍두기, 아름찬포기김치, 오색소반깻잎김치, 오색소반겉절이, 오색소반오이김치, 오색소반총각김치, 오색소반파김치
887전통식품인증식품연 전통 제059호한국식품연구원2019-03-211995-06-012999-12-31지평농협가공공장이종문경기도 양평군 지평면 월산길 101토움한식된장, 토움쥐눈이콩된장
888전통식품인증식품연 전통 제048호한국식품연구원2019-03-211994-10-152999-12-31양구전통한과영농조합법인이영수강원도 양구군 양구읍 박수근로85번길 20검은깨(흑임자)유과, 참깨유과, 찹쌀유과
889전통식품인증식품연 전통 제044호한국식품연구원2019-03-211993-11-302999-12-31귀빈식품한안자전라남도 해남군 황산면 시등로 129-7이삭원한국간장
890전통식품인증식품연 전통 제043호한국식품연구원2019-03-211993-11-302999-12-31귀빈식품한안자전라남도 해남군 황산면 시등로 129-7이삭원한국된장
891전통식품인증식품연 전통 제042호한국식품연구원2019-03-211993-11-302999-12-31귀빈식품한안자전라남도 해남군 황산면 시등로 129-7 (귀빈식품)이삭원찹쌀고추장
892전통식품인증식품연 전통 제012호한국식품연구원2019-03-211993-03-222999-12-31농업회사법인 호정식품(주)유영군전라남도 담양군 창평면 창평현로 766장평쌀조청
893전통식품인증식품연 전통 제011호한국식품연구원2019-03-211993-03-222999-12-31농업회사법인 호정식품(주)유영군전라남도 담양군 창평면 창평현로 766창평쌀엿
894전통식품인증식품연 전통 제007호한국식품연구원2019-03-201992-03-062999-12-31신궁전통한과김규흔경기도 포천시 소흘읍 정금로74번길 38흑임자깨강정, 달콤한유과, 참깨강정
895전통식품인증식품연 전통 제002호한국식품연구원2019-03-201992-01-072999-12-31(주)갈골한과명인식품농업회사법인김주희강원도 강릉시 사천면 중앙서로 62찹쌀강정, 찹쌀과줄