Overview

Dataset statistics

Number of variables9
Number of observations190
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.7 KiB
Average record size in memory73.7 B

Variable types

Numeric1
Text4
Categorical2
DateTime2

Dataset

Description인천광역시 남동구 식품안전인증업소인 HACCP 인증업소 현황에 대한 데이터로 연번, 업체명, 적용업종, 적용품목, 주소, 인증번호, 최초인증일, 인증종료일, 데이터기준일 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15075401&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
적용업종 is highly imbalanced (89.4%)Imbalance
연번 has unique valuesUnique
인증번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 13:37:51.760635
Analysis finished2024-01-28 13:37:52.416570
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct190
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.5
Minimum1
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-28T22:37:52.473032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.45
Q148.25
median95.5
Q3142.75
95-th percentile180.55
Maximum190
Range189
Interquartile range (IQR)94.5

Descriptive statistics

Standard deviation54.992424
Coefficient of variation (CV)0.5758369
Kurtosis-1.2
Mean95.5
Median Absolute Deviation (MAD)47.5
Skewness0
Sum18145
Variance3024.1667
MonotonicityStrictly increasing
2024-01-28T22:37:52.589577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
132 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
Other values (180) 180
94.7%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%

업체명
Text

Distinct91
Distinct (%)47.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-28T22:37:52.841386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length7.2736842
Min length3

Characters and Unicode

Total characters1382
Distinct characters189
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)18.4%

Sample

1st row블레스웰빙
2nd row(주)맛요일
3rd row주식회사 뚠뚠푸드
4th row주식회사 뚠뚠푸드
5th row주식회사 드플레르
ValueCountFrequency (%)
주식회사 34
 
14.7%
베지스타 7
 
3.0%
풍전 7
 
3.0%
채움바이오 6
 
2.6%
주)새롬식품 5
 
2.2%
창영이팩토리 4
 
1.7%
농업회사법인 4
 
1.7%
주식회사굿푸드 4
 
1.7%
주)유니온f&c 4
 
1.7%
농업회사법인주식회사우리김치 4
 
1.7%
Other values (86) 153
65.9%
2024-01-28T22:37:53.208470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 110
 
8.0%
식 91
 
6.6%
사 68
 
4.9%
회 67
 
4.8%
( 51
 
3.7%
) 51
 
3.7%
드 45
 
3.3%
42
 
3.0%
푸 42
 
3.0%
㈜ 39
 
2.8%
Other values (179) 776
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1162
84.1%
Open Punctuation 51
 
3.7%
Close Punctuation 51
 
3.7%
Space Separator 42
 
3.0%
Other Symbol 39
 
2.8%
Uppercase Letter 17
 
1.2%
Lowercase Letter 12
 
0.9%
Other Punctuation 6
 
0.4%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 110
 
9.5%
식 91
 
7.8%
사 68
 
5.9%
회 67
 
5.8%
드 45
 
3.9%
푸 42
 
3.6%
이 36
 
3.1%
품 34
 
2.9%
리 25
 
2.2%
아 25
 
2.2%
Other values (163) 619
53.3%
Uppercase Letter
ValueCountFrequency (%)
F 7
41.2%
C 4
23.5%
B 3
17.6%
T 2
 
11.8%
N 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
33.3%
k 2
16.7%
a 2
16.7%
c 2
16.7%
h 2
16.7%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 39
100.0%
Other Punctuation
ValueCountFrequency (%)
& 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1201
86.9%
Common 152
 
11.0%
Latin 29
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 110
 
9.2%
식 91
 
7.6%
사 68
 
5.7%
회 67
 
5.6%
드 45
 
3.7%
푸 42
 
3.5%
㈜ 39
 
3.2%
이 36
 
3.0%
품 34
 
2.8%
리 25
 
2.1%
Other values (164) 644
53.6%
Latin
ValueCountFrequency (%)
F 7
24.1%
e 4
13.8%
C 4
13.8%
B 3
10.3%
k 2
 
6.9%
a 2
 
6.9%
c 2
 
6.9%
h 2
 
6.9%
T 2
 
6.9%
N 1
 
3.4%
Common
ValueCountFrequency (%)
( 51
33.6%
) 51
33.6%
42
27.6%
& 6
 
3.9%
- 2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1162
84.1%
ASCII 181
 
13.1%
None 39
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 110
 
9.5%
식 91
 
7.8%
사 68
 
5.9%
회 67
 
5.8%
드 45
 
3.9%
푸 42
 
3.6%
이 36
 
3.1%
품 34
 
2.9%
리 25
 
2.2%
아 25
 
2.2%
Other values (163) 619
53.3%
ASCII
ValueCountFrequency (%)
( 51
28.2%
) 51
28.2%
42
23.2%
F 7
 
3.9%
& 6
 
3.3%
e 4
 
2.2%
C 4
 
2.2%
B 3
 
1.7%
- 2
 
1.1%
k 2
 
1.1%
Other values (5) 9
 
5.0%
None
ValueCountFrequency (%)
㈜ 39
100.0%

적용업종
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
식품제조가공업
185 
식품첨가물제조업
 
3
식품소분업
 
1
집단급식소식품판매업
 
1

Length

Max length10
Median length7
Mean length7.0210526
Min length5

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 185
97.4%
식품첨가물제조업 3
 
1.6%
식품소분업 1
 
0.5%
집단급식소식품판매업 1
 
0.5%

Length

2024-01-28T22:37:53.332140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:37:53.430534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 185
97.4%
식품첨가물제조업 3
 
1.6%
식품소분업 1
 
0.5%
집단급식소식품판매업 1
 
0.5%

적용품목
Text

Distinct60
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-28T22:37:53.643842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length6.7052632
Min length1

Characters and Unicode

Total characters1274
Distinct characters124
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)17.4%

Sample

1st row추출가공식품
2nd row즉석조리식품
3rd row소스
4th row간편조리세트
5th row과자
ValueCountFrequency (%)
중 34
 
12.8%
기타수산물가공품 33
 
12.5%
빵류 20
 
7.5%
냉동어류 15
 
5.7%
과자 14
 
5.3%
냉동연체류 12
 
4.5%
소스 9
 
3.4%
즉석조리식품 9
 
3.4%
기타가공품 9
 
3.4%
떡류 7
 
2.6%
Other values (56) 103
38.9%
2024-01-28T22:37:54.002118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
품 100
 
7.8%
75
 
5.9%
류 73
 
5.7%
가 67
 
5.3%
공 64
 
5.0%
타 51
 
4.0%
기 51
 
4.0%
식 44
 
3.5%
물 36
 
2.8%
산 35
 
2.7%
Other values (114) 678
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1146
90.0%
Space Separator 75
 
5.9%
Close Punctuation 24
 
1.9%
Open Punctuation 24
 
1.9%
Other Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%
Uppercase Letter 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 100
 
8.7%
류 73
 
6.4%
가 67
 
5.8%
공 64
 
5.6%
타 51
 
4.5%
기 51
 
4.5%
식 44
 
3.8%
물 36
 
3.1%
산 35
 
3.1%
수 35
 
3.1%
Other values (107) 590
51.5%
Space Separator
ValueCountFrequency (%)
75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1146
90.0%
Common 127
 
10.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 100
 
8.7%
류 73
 
6.4%
가 67
 
5.8%
공 64
 
5.6%
타 51
 
4.5%
기 51
 
4.5%
식 44
 
3.8%
물 36
 
3.1%
산 35
 
3.1%
수 35
 
3.1%
Other values (107) 590
51.5%
Common
ValueCountFrequency (%)
75
59.1%
) 24
 
18.9%
( 24
 
18.9%
, 2
 
1.6%
1 1
 
0.8%
- 1
 
0.8%
Latin
ValueCountFrequency (%)
L 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1146
90.0%
ASCII 128
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
품 100
 
8.7%
류 73
 
6.4%
가 67
 
5.8%
공 64
 
5.6%
타 51
 
4.5%
기 51
 
4.5%
식 44
 
3.8%
물 36
 
3.1%
산 35
 
3.1%
수 35
 
3.1%
Other values (107) 590
51.5%
ASCII
ValueCountFrequency (%)
75
58.6%
) 24
 
18.8%
( 24
 
18.8%
, 2
 
1.6%
1 1
 
0.8%
L 1
 
0.8%
- 1
 
0.8%

주소
Text

Distinct92
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-28T22:37:54.285599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length38.505263
Min length23

Characters and Unicode

Total characters7316
Distinct characters131
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)18.9%

Sample

1st row인천광역시 남동구 장승남로69번길 24-10, 2층 201호 (만수동)
2nd row인천광역시 남동구 남동대로 337, 1동 2층 일부호 (남촌동, 13블럭 11로트)
3rd row인천광역시 남동구 남동동로 195, 2층일부3층일부호 (고잔동)
4th row인천광역시 남동구 남동동로 195, 2층일부3층일부호 (고잔동)
5th row인천광역시 남동구 은봉로75번길 77, 1층 일부호 (논현동)
ValueCountFrequency (%)
남동구 190
 
13.8%
인천광역시 177
 
12.9%
고잔동 91
 
6.6%
일부호 49
 
3.6%
1층 45
 
3.3%
2층 32
 
2.3%
남촌동 29
 
2.1%
호구포로 18
 
1.3%
3층 18
 
1.3%
남동동로 16
 
1.2%
Other values (238) 707
51.5%
2024-01-28T22:37:54.681632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1182
 
16.2%
동 548
 
7.5%
1 318
 
4.3%
남 294
 
4.0%
층 280
 
3.8%
, 247
 
3.4%
구 220
 
3.0%
( 209
 
2.9%
) 209
 
2.9%
로 203
 
2.8%
Other values (121) 3606
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4111
56.2%
Decimal Number 1281
 
17.5%
Space Separator 1182
 
16.2%
Other Punctuation 247
 
3.4%
Open Punctuation 209
 
2.9%
Close Punctuation 209
 
2.9%
Uppercase Letter 38
 
0.5%
Math Symbol 24
 
0.3%
Dash Punctuation 15
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 548
 
13.3%
남 294
 
7.2%
층 280
 
6.8%
구 220
 
5.4%
로 203
 
4.9%
천 198
 
4.8%
인 193
 
4.7%
광 177
 
4.3%
역 177
 
4.3%
시 177
 
4.3%
Other values (99) 1644
40.0%
Decimal Number
ValueCountFrequency (%)
1 318
24.8%
3 188
14.7%
2 176
13.7%
4 132
10.3%
5 129
10.1%
0 92
 
7.2%
6 72
 
5.6%
8 61
 
4.8%
7 60
 
4.7%
9 53
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
A 14
36.8%
B 13
34.2%
C 7
18.4%
H 2
 
5.3%
N 1
 
2.6%
I 1
 
2.6%
Space Separator
ValueCountFrequency (%)
1182
100.0%
Other Punctuation
ValueCountFrequency (%)
, 247
100.0%
Open Punctuation
ValueCountFrequency (%)
( 209
100.0%
Close Punctuation
ValueCountFrequency (%)
) 209
100.0%
Math Symbol
ValueCountFrequency (%)
~ 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4111
56.2%
Common 3167
43.3%
Latin 38
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 548
 
13.3%
남 294
 
7.2%
층 280
 
6.8%
구 220
 
5.4%
로 203
 
4.9%
천 198
 
4.8%
인 193
 
4.7%
광 177
 
4.3%
역 177
 
4.3%
시 177
 
4.3%
Other values (99) 1644
40.0%
Common
ValueCountFrequency (%)
1182
37.3%
1 318
 
10.0%
, 247
 
7.8%
( 209
 
6.6%
) 209
 
6.6%
3 188
 
5.9%
2 176
 
5.6%
4 132
 
4.2%
5 129
 
4.1%
0 92
 
2.9%
Other values (6) 285
 
9.0%
Latin
ValueCountFrequency (%)
A 14
36.8%
B 13
34.2%
C 7
18.4%
H 2
 
5.3%
N 1
 
2.6%
I 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4111
56.2%
ASCII 3205
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1182
36.9%
1 318
 
9.9%
, 247
 
7.7%
( 209
 
6.5%
) 209
 
6.5%
3 188
 
5.9%
2 176
 
5.5%
4 132
 
4.1%
5 129
 
4.0%
0 92
 
2.9%
Other values (12) 323
 
10.1%
Hangul
ValueCountFrequency (%)
동 548
 
13.3%
남 294
 
7.2%
층 280
 
6.8%
구 220
 
5.4%
로 203
 
4.9%
천 198
 
4.8%
인 193
 
4.7%
광 177
 
4.3%
역 177
 
4.3%
시 177
 
4.3%
Other values (99) 1644
40.0%

인증번호
Text

UNIQUE 

Distinct190
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-28T22:37:54.941785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters2090
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)100.0%

Sample

1st row2022-3-1054
2nd row2022-3-1045
3rd row2022-3-0867
4th row2022-3-0866
5th row2022-3-0857
ValueCountFrequency (%)
2022-3-1054 1
 
0.5%
2018-3-9172 1
 
0.5%
2018-3-9165 1
 
0.5%
2018-3-9490 1
 
0.5%
2018-3-9483 1
 
0.5%
2018-3-9482 1
 
0.5%
2018-3-9464 1
 
0.5%
2017-3-9567 1
 
0.5%
2018-3-9219 1
 
0.5%
2018-3-9181 1
 
0.5%
Other values (180) 180
94.7%
2024-01-28T22:37:55.317448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 407
19.5%
- 380
18.2%
0 349
16.7%
3 254
12.2%
1 252
12.1%
8 99
 
4.7%
9 99
 
4.7%
4 72
 
3.4%
5 63
 
3.0%
6 60
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1710
81.8%
Dash Punctuation 380
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 407
23.8%
0 349
20.4%
3 254
14.9%
1 252
14.7%
8 99
 
5.8%
9 99
 
5.8%
4 72
 
4.2%
5 63
 
3.7%
6 60
 
3.5%
7 55
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 380
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2090
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 407
19.5%
- 380
18.2%
0 349
16.7%
3 254
12.2%
1 252
12.1%
8 99
 
4.7%
9 99
 
4.7%
4 72
 
3.4%
5 63
 
3.0%
6 60
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2090
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 407
19.5%
- 380
18.2%
0 349
16.7%
3 254
12.2%
1 252
12.1%
8 99
 
4.7%
9 99
 
4.7%
4 72
 
3.4%
5 63
 
3.0%
6 60
 
2.9%

최초인증일
Date

Distinct113
Distinct (%)59.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2007-05-11 00:00:00
Maximum2022-11-10 00:00:00
2024-01-28T22:37:55.435237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:37:55.538511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인증종료일
Date

Distinct101
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2023-01-09 00:00:00
Maximum2025-12-01 00:00:00
2024-01-28T22:37:55.645084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:37:55.753474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2022-12-06
190 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-06
2nd row2022-12-06
3rd row2022-12-06
4th row2022-12-06
5th row2022-12-06

Common Values

ValueCountFrequency (%)
2022-12-06 190
100.0%

Length

2024-01-28T22:37:55.856921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:37:55.937610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-06 190
100.0%

Interactions

2024-01-28T22:37:52.143475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T22:37:55.992634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명적용업종적용품목주소
연번1.0000.9680.3020.5930.968
업체명0.9681.0000.7350.0001.000
적용업종0.3020.7351.0001.0000.962
적용품목0.5930.0001.0001.0000.000
주소0.9681.0000.9620.0001.000
2024-01-28T22:37:56.073723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번적용업종
연번1.0000.181
적용업종0.1811.000

Missing values

2024-01-28T22:37:52.255543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:37:52.370862image/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

연번업체명적용업종적용품목주소인증번호최초인증일인증종료일데이터기준일
01블레스웰빙식품제조가공업추출가공식품인천광역시 남동구 장승남로69번길 24-10, 2층 201호 (만수동)2022-3-10542022-11-102025-11-092022-12-06
12(주)맛요일식품제조가공업즉석조리식품인천광역시 남동구 남동대로 337, 1동 2층 일부호 (남촌동, 13블럭 11로트)2022-3-10452022-11-082025-11-072022-12-06
23주식회사 뚠뚠푸드식품제조가공업소스인천광역시 남동구 남동동로 195, 2층일부3층일부호 (고잔동)2022-3-08672022-09-082025-09-072022-12-06
34주식회사 뚠뚠푸드식품제조가공업간편조리세트인천광역시 남동구 남동동로 195, 2층일부3층일부호 (고잔동)2022-3-08662022-09-082025-09-072022-12-06
45주식회사 드플레르식품제조가공업과자인천광역시 남동구 은봉로75번길 77, 1층 일부호 (논현동)2022-3-08572022-09-022025-09-012022-12-06
56더브라우니식품제조가공업빵류인천광역시 남동구 은봉로 52, NIC지식산업센터 10층 1003호 (논현동)2022-3-07582022-08-012025-07-312022-12-06
67주식회사이호푸드식품제조가공업기타수산물가공품인천광역시 남동구 앵고개로654번길 113, B동 3층 일부호(고잔동)2022-3-07052022-07-212024-02-032022-12-06
78(주)데어리랜드식품제조가공업기타가공품인천광역시 남동구 남동서로330번길 51(1,2,3층 남촌동)2022-3-07022022-07-202025-07-192022-12-06
89(주)데어리랜드식품제조가공업복합조미식품인천광역시 남동구 남동서로330번길 51(1,2,3층 남촌동)2022-3-07012022-07-202025-07-192022-12-06
910(주)라이브어트식품제조가공업유산균음료인천광역시 남동구 인주대로 801, 2층 (구월동)2022-3-06542022-07-062025-07-052022-12-06
연번업체명적용업종적용품목주소인증번호최초인증일인증종료일데이터기준일
180181㈜피자코리아식품제조가공업냉동식품 중 피자류인천 남동구 호구포로 111 (고잔동, 101블록 14로트 1층일부, 2층전부)2012-3-81162012-04-122025-11-132022-12-06
181182건영식품식품제조가공업어묵인천광역시 남동구 남동동로33번길 13, 1층(일부),2층(고잔동)2012-3-80982012-03-162023-05-142022-12-06
182183생생찬식품제조가공업절임식품(식염절임)인천광역시 남동구 남동대로410번길 40(1층전부, 2층일부호 남촌동)2011-3-81632011-11-072023-06-072022-12-06
183184생생찬식품제조가공업김치(기타김치)인천광역시 남동구 남동대로410번길 40(1층전부, 2층일부호 남촌동)2011-3-81622011-11-072023-06-072022-12-06
184185생생찬식품제조가공업김치(배추김치)인천광역시 남동구 남동대로410번길 40(1층전부, 2층일부호 남촌동)2011-3-81612011-11-072023-06-072022-12-06
185186현대식품식품제조가공업냉동식품 중 면류(숙면)인천광역시 남동구 남동서로143번길 37 (고잔동, 81블록 3로트)2011-3-80482011-04-252023-06-252022-12-06
186187일미식품식품제조가공업김치(기타김치)인천광역시 남동구 남촌로67번길 28(남촌동)2011-3-80312011-04-062023-01-182022-12-06
187188일미식품식품제조가공업김치(배추김치)인천광역시 남동구 남촌로67번길 28(남촌동)2011-3-80302011-04-062023-01-182022-12-06
188189(주)새롬식품식품제조가공업어묵인천광역시 남동구 능허대로 558, 1층,2층,3층,4층 (고잔동)2010-3-81042010-12-232025-11-152022-12-06
189190천일식품㈜식품제조가공업기타가공품(냉동)인천 남동구 앵고개로 426(고잔동, 119블록 3로트)2007-3-80192007-05-112025-09-252022-12-06