Overview

Dataset statistics

Number of variables7
Number of observations24
Missing cells9
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory62.5 B

Variable types

Numeric1
DateTime2
Text4

Dataset

Description인천광역시 미추홀구 관내에 위치한 식육포장 처리업에 대한 데이터로 업체명,지번주소,도로명주소,전화번호 등의 정보를 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15100667&srcSe=7661IVAWM27C61E190

Alerts

기준일 has constant value ""Constant
전화번호 has 9 (37.5%) missing valuesMissing
연번 has unique valuesUnique
업체명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 13:59:54.662247
Analysis finished2024-01-28 13:59:55.192390
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-01-28T22:59:55.241419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-01-28T22:59:55.344327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

등록일자
Date

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2004-09-07 00:00:00
Maximum2022-10-31 00:00:00
2024-01-28T22:59:55.460852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:59:55.565488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

업체명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-28T22:59:55.711303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length8
Min length3

Characters and Unicode

Total characters192
Distinct characters78
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row만복계육
2nd row(주)불로만
3rd row주식회사 윤푸드
4th row농업회사법인 주식회사 조아미트
5th rowSM푸드
ValueCountFrequency (%)
주식회사 7
 
20.0%
농업회사법인 2
 
5.7%
만복계육 1
 
2.9%
종가푸드 1
 
2.9%
한미유통 1
 
2.9%
dsmr푸드 1
 
2.9%
홍스팩토리 1
 
2.9%
농업회사법인(주)크린팜1공장 1
 
2.9%
퍼시픽글로벌푸드 1
 
2.9%
진현팜 1
 
2.9%
Other values (18) 18
51.4%
2024-01-28T22:59:56.010139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 14
 
7.3%
11
 
5.7%
회 10
 
5.2%
사 10
 
5.2%
드 9
 
4.7%
푸 9
 
4.7%
식 8
 
4.2%
( 7
 
3.6%
) 7
 
3.6%
미 7
 
3.6%
Other values (68) 100
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 160
83.3%
Space Separator 11
 
5.7%
Open Punctuation 7
 
3.6%
Close Punctuation 7
 
3.6%
Uppercase Letter 6
 
3.1%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
8.8%
회 10
 
6.2%
사 10
 
6.2%
드 9
 
5.6%
푸 9
 
5.6%
식 8
 
5.0%
미 7
 
4.4%
트 6
 
3.8%
인 4
 
2.5%
법 3
 
1.9%
Other values (60) 80
50.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
33.3%
S 2
33.3%
R 1
16.7%
D 1
16.7%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 160
83.3%
Common 26
 
13.5%
Latin 6
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
8.8%
회 10
 
6.2%
사 10
 
6.2%
드 9
 
5.6%
푸 9
 
5.6%
식 8
 
5.0%
미 7
 
4.4%
트 6
 
3.8%
인 4
 
2.5%
법 3
 
1.9%
Other values (60) 80
50.0%
Common
ValueCountFrequency (%)
11
42.3%
( 7
26.9%
) 7
26.9%
1 1
 
3.8%
Latin
ValueCountFrequency (%)
M 2
33.3%
S 2
33.3%
R 1
16.7%
D 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 160
83.3%
ASCII 32
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 14
 
8.8%
회 10
 
6.2%
사 10
 
6.2%
드 9
 
5.6%
푸 9
 
5.6%
식 8
 
5.0%
미 7
 
4.4%
트 6
 
3.8%
인 4
 
2.5%
법 3
 
1.9%
Other values (60) 80
50.0%
ASCII
ValueCountFrequency (%)
11
34.4%
( 7
21.9%
) 7
21.9%
M 2
 
6.2%
S 2
 
6.2%
R 1
 
3.1%
1 1
 
3.1%
D 1
 
3.1%

지번주소
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-28T22:59:56.182146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length29
Mean length24.083333
Min length20

Characters and Unicode

Total characters578
Distinct characters56
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

Unique22 ?
Unique (%)91.7%

Sample

1st row인천광역시 미추홀구 숭의동 297-2
2nd row인천광역시 미추홀구 도화동 83-15
3rd row인천광역시 미추홀구 숭의동 173-43 1층
4th row인천광역시 미추홀구 도화동 84-2
5th row인천광역시 미추홀구 주안동 1499-10
ValueCountFrequency (%)
인천광역시 24
22.0%
미추홀구 24
22.0%
도화동 10
 
9.2%
주안동 8
 
7.3%
숭의동 4
 
3.7%
5-2 2
 
1.8%
주안 2
 
1.8%
j 2
 
1.8%
tower 2
 
1.8%
1차 2
 
1.8%
Other values (28) 29
26.6%
2024-01-28T22:59:56.447562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
19.2%
동 25
 
4.3%
미 25
 
4.3%
인 24
 
4.2%
추 24
 
4.2%
구 24
 
4.2%
홀 24
 
4.2%
- 24
 
4.2%
시 24
 
4.2%
광 24
 
4.2%
Other values (46) 249
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
55.7%
Space Separator 111
 
19.2%
Decimal Number 107
 
18.5%
Dash Punctuation 24
 
4.2%
Lowercase Letter 8
 
1.4%
Uppercase Letter 4
 
0.7%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 25
 
7.8%
미 25
 
7.8%
인 24
 
7.5%
추 24
 
7.5%
구 24
 
7.5%
홀 24
 
7.5%
시 24
 
7.5%
광 24
 
7.5%
역 24
 
7.5%
천 24
 
7.5%
Other values (26) 80
24.8%
Decimal Number
ValueCountFrequency (%)
1 22
20.6%
3 15
14.0%
4 12
11.2%
9 11
10.3%
8 10
9.3%
2 10
9.3%
5 8
 
7.5%
0 8
 
7.5%
7 7
 
6.5%
6 4
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
w 2
25.0%
o 2
25.0%
r 2
25.0%
Uppercase Letter
ValueCountFrequency (%)
J 2
50.0%
T 2
50.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
55.7%
Common 244
42.2%
Latin 12
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 25
 
7.8%
미 25
 
7.8%
인 24
 
7.5%
추 24
 
7.5%
구 24
 
7.5%
홀 24
 
7.5%
시 24
 
7.5%
광 24
 
7.5%
역 24
 
7.5%
천 24
 
7.5%
Other values (26) 80
24.8%
Common
ValueCountFrequency (%)
111
45.5%
- 24
 
9.8%
1 22
 
9.0%
3 15
 
6.1%
4 12
 
4.9%
9 11
 
4.5%
8 10
 
4.1%
2 10
 
4.1%
5 8
 
3.3%
0 8
 
3.3%
Other values (4) 13
 
5.3%
Latin
ValueCountFrequency (%)
e 2
16.7%
J 2
16.7%
T 2
16.7%
w 2
16.7%
o 2
16.7%
r 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
55.7%
ASCII 256
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
43.4%
- 24
 
9.4%
1 22
 
8.6%
3 15
 
5.9%
4 12
 
4.7%
9 11
 
4.3%
8 10
 
3.9%
2 10
 
3.9%
5 8
 
3.1%
0 8
 
3.1%
Other values (10) 25
 
9.8%
Hangul
ValueCountFrequency (%)
동 25
 
7.8%
미 25
 
7.8%
인 24
 
7.5%
추 24
 
7.5%
구 24
 
7.5%
홀 24
 
7.5%
시 24
 
7.5%
광 24
 
7.5%
역 24
 
7.5%
천 24
 
7.5%
Other values (26) 80
24.8%

도로명주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-01-28T22:59:56.645704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length34
Mean length31.583333
Min length23

Characters and Unicode

Total characters758
Distinct characters81
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

Unique24 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 장천로6번길 26 (숭의동)
2nd row인천광역시 미추홀구 장고개로42번길 41 (도화동)
3rd row인천광역시 미추홀구 경인로60번길 1 (숭의동,1층)
4th row인천광역시 미추홀구 장고개로 46 (도화동)
5th row인천광역시 미추홀구 인하로 335-2, 1층 (주안동)
ValueCountFrequency (%)
인천광역시 24
 
16.7%
미추홀구 24
 
16.7%
주안동 8
 
5.6%
도화동 7
 
4.9%
1층 5
 
3.5%
염전로 4
 
2.8%
숭의동 3
 
2.1%
장고개로50번길 3
 
2.1%
104호 2
 
1.4%
1동 2
 
1.4%
Other values (51) 62
43.1%
2024-01-28T22:59:56.958402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
16.1%
인 26
 
3.4%
동 26
 
3.4%
1 26
 
3.4%
미 25
 
3.3%
추 25
 
3.3%
홀 25
 
3.3%
천 25
 
3.3%
시 24
 
3.2%
광 24
 
3.2%
Other values (71) 410
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 440
58.0%
Space Separator 122
 
16.1%
Decimal Number 114
 
15.0%
Open Punctuation 24
 
3.2%
Close Punctuation 24
 
3.2%
Other Punctuation 15
 
2.0%
Lowercase Letter 8
 
1.1%
Dash Punctuation 7
 
0.9%
Uppercase Letter 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 26
 
5.9%
동 26
 
5.9%
미 25
 
5.7%
추 25
 
5.7%
홀 25
 
5.7%
천 25
 
5.7%
시 24
 
5.5%
광 24
 
5.5%
구 24
 
5.5%
역 24
 
5.5%
Other values (50) 192
43.6%
Decimal Number
ValueCountFrequency (%)
1 26
22.8%
2 15
13.2%
4 14
12.3%
5 14
12.3%
3 12
10.5%
0 11
9.6%
6 10
 
8.8%
9 5
 
4.4%
7 5
 
4.4%
8 2
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
r 2
25.0%
o 2
25.0%
e 2
25.0%
w 2
25.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
50.0%
J 2
50.0%
Space Separator
ValueCountFrequency (%)
122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
58.0%
Common 306
40.4%
Latin 12
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 26
 
5.9%
동 26
 
5.9%
미 25
 
5.7%
추 25
 
5.7%
홀 25
 
5.7%
천 25
 
5.7%
시 24
 
5.5%
광 24
 
5.5%
구 24
 
5.5%
역 24
 
5.5%
Other values (50) 192
43.6%
Common
ValueCountFrequency (%)
122
39.9%
1 26
 
8.5%
( 24
 
7.8%
) 24
 
7.8%
, 15
 
4.9%
2 15
 
4.9%
4 14
 
4.6%
5 14
 
4.6%
3 12
 
3.9%
0 11
 
3.6%
Other values (5) 29
 
9.5%
Latin
ValueCountFrequency (%)
T 2
16.7%
r 2
16.7%
J 2
16.7%
o 2
16.7%
e 2
16.7%
w 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
58.0%
ASCII 318
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
38.4%
1 26
 
8.2%
( 24
 
7.5%
) 24
 
7.5%
, 15
 
4.7%
2 15
 
4.7%
4 14
 
4.4%
5 14
 
4.4%
3 12
 
3.8%
0 11
 
3.5%
Other values (11) 41
 
12.9%
Hangul
ValueCountFrequency (%)
인 26
 
5.9%
동 26
 
5.9%
미 25
 
5.7%
추 25
 
5.7%
홀 25
 
5.7%
천 25
 
5.7%
시 24
 
5.5%
광 24
 
5.5%
구 24
 
5.5%
역 24
 
5.5%
Other values (50) 192
43.6%

전화번호
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing9
Missing (%)37.5%
Memory size324.0 B
2024-01-28T22:59:57.127178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.066667
Min length12

Characters and Unicode

Total characters181
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

Unique15 ?
Unique (%)100.0%

Sample

1st row032-883-9416
2nd row032-863-3838
3rd row032-872-9799
4th row032-201-6720
5th row032-684-5289
ValueCountFrequency (%)
032-883-9416 1
 
6.7%
032-863-3838 1
 
6.7%
032-872-9799 1
 
6.7%
032-201-6720 1
 
6.7%
032-684-5289 1
 
6.7%
032-865-1796 1
 
6.7%
032-545-3344 1
 
6.7%
032-212-5095 1
 
6.7%
032-873-4959 1
 
6.7%
032-811-8589 1
 
6.7%
Other values (5) 5
33.3%
2024-01-28T22:59:57.405845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 30
16.6%
3 24
13.3%
0 23
12.7%
2 23
12.7%
8 16
8.8%
9 15
8.3%
4 11
 
6.1%
1 11
 
6.1%
5 11
 
6.1%
7 9
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 151
83.4%
Dash Punctuation 30
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 24
15.9%
0 23
15.2%
2 23
15.2%
8 16
10.6%
9 15
9.9%
4 11
7.3%
1 11
7.3%
5 11
7.3%
7 9
 
6.0%
6 8
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 181
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 30
16.6%
3 24
13.3%
0 23
12.7%
2 23
12.7%
8 16
8.8%
9 15
8.3%
4 11
 
6.1%
1 11
 
6.1%
5 11
 
6.1%
7 9
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 181
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 30
16.6%
3 24
13.3%
0 23
12.7%
2 23
12.7%
8 16
8.8%
9 15
8.3%
4 11
 
6.1%
1 11
 
6.1%
5 11
 
6.1%
7 9
 
5.0%

기준일
Date

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2023-05-25 00:00:00
Maximum2023-05-25 00:00:00
2024-01-28T22:59:57.502791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:59:57.580631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-28T22:59:54.971460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T22:59:57.647927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번등록일자업체명지번주소도로명주소전화번호
연번1.0000.8791.0000.9191.0001.000
등록일자0.8791.0001.0000.9931.0001.000
업체명1.0001.0001.0001.0001.0001.000
지번주소0.9190.9931.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000

Missing values

2024-01-28T22:59:55.064164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:59:55.153814image/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

연번등록일자업체명지번주소도로명주소전화번호기준일
012004-09-07만복계육인천광역시 미추홀구 숭의동 297-2인천광역시 미추홀구 장천로6번길 26 (숭의동)032-883-94162023-05-25
122004-12-15(주)불로만인천광역시 미추홀구 도화동 83-15인천광역시 미추홀구 장고개로42번길 41 (도화동)032-863-38382023-05-25
232010-08-21주식회사 윤푸드인천광역시 미추홀구 숭의동 173-43 1층인천광역시 미추홀구 경인로60번길 1 (숭의동,1층)032-872-97992023-05-25
342014-01-07농업회사법인 주식회사 조아미트인천광역시 미추홀구 도화동 84-2인천광역시 미추홀구 장고개로 46 (도화동)<NA>2023-05-25
452014-10-27SM푸드인천광역시 미추홀구 주안동 1499-10인천광역시 미추홀구 인하로 335-2, 1층 (주안동)<NA>2023-05-25
562014-10-27보람미트(주)인천광역시 미추홀구 주안동 5-2 주안 J Tower 1차 지식산업센터인천광역시 미추홀구 염전로 330, 주안 J Tower 1차 지식산업센터 910호 (주안동)032-201-67202023-05-25
672014-10-28(주)대신푸드글로벌인천광역시 미추홀구 도화동 704-11인천광역시 미추홀구 장고개로50번길 19-2 (도화동)032-684-52892023-05-25
782015-04-27농업회사법인 주식회사 우창푸드인천광역시 미추홀구 숭의동 353-29인천광역시 미추홀구 제물량로4번길 42-24, 1동 6호 (숭의동)032-865-17962023-05-25
892016-08-08신효성인천광역시 미추홀구 도화동 581-3인천광역시 미추홀구 숙골로24번길 32 (도화동)032-545-33442023-05-25
9102016-12-23밀리언미트인천광역시 미추홀구 문학동 364-1인천광역시 미추홀구 문학길 28 (문학동, 캐슬베리)032-212-50952023-05-25
연번등록일자업체명지번주소도로명주소전화번호기준일
14152019-02-26(주)지성푸드인천광역시 미추홀구 주안동 5-2 주안 J Tower 1차 지식산업센터인천광역시 미추홀구 염전로 330, 주안 J Tower 1차 지식산업센터 104호 (주안동)032-236-31092023-05-25
15162019-04-11주식회사 우리미트 에프앤비인천광역시 미추홀구 주안동 1385-10인천광역시 미추홀구 방축로 312, 105호 (주안동)<NA>2023-05-25
16172020-02-10(주)다올앤미트인천광역시 미추홀구 도화동 704-19인천광역시 미추홀구 장고개로50번길 19-1, 1층 (도화동)<NA>2023-05-25
17182020-02-14진현팜인천광역시 미추홀구 도화동 831-19인천광역시 미추홀구 염전로 155, 1층 (도화동)<NA>2023-05-25
18192020-10-08주식회사 퍼시픽글로벌푸드인천광역시 미추홀구 주안동 3-33 (주)도호세미텍인천광역시 미추홀구 주염로73번길 24, 3층 (주안동)032-874-09012023-05-25
19202021-03-19농업회사법인(주)크린팜1공장인천광역시 미추홀구 도화동 761-11인천광역시 미추홀구 염전로201번길 65(도화동)<NA>2023-05-25
20212021-06-04홍스팩토리인천광역시 미추홀구 주안동 608-9인천광역시 미추홀구 한나루로 546 (주안동)070-4243-90712023-05-25
21222021-07-26DSMR푸드인천광역시 미추홀구 주안동 1299-4 석암빌딩인천광역시 미추홀구 미추홀대로 516, 석암빌딩 1층 104호 (주안동)032-429-61752023-05-25
22232022-06-24한미유통인천광역시 미추홀구 도화동 104-25인천광역시 미추홀구 석정로 277(도화동)<NA>2023-05-25
23242022-10-31주식회사 디케이푸드인천광역시 미추홀구 관교동 488-2인천광역시 미추홀구 경원대로658번길 5-35, 1층 (관교동)032-889-15542023-05-25