Overview

Dataset statistics

Number of variables6
Number of observations75
Missing cells39
Missing cells (%)8.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory50.8 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 미추홀구의 식품제조가공업 현황에 대한 데이터로 업소명, 도로명주소, 지번주소, 전화번호 등의 항목을 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15080828/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 39 (52.0%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:30:06.597256
Analysis finished2024-03-23 05:30:08.890070
Duration2.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2024-03-23T05:30:09.439325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.7
Q119.5
median38
Q356.5
95-th percentile71.3
Maximum75
Range74
Interquartile range (IQR)37

Descriptive statistics

Standard deviation21.794495
Coefficient of variation (CV)0.57353933
Kurtosis-1.2
Mean38
Median Absolute Deviation (MAD)19
Skewness0
Sum2850
Variance475
MonotonicityStrictly increasing
2024-03-23T05:30:09.866717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
49 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
50 1
 
1.3%
48 1
 
1.3%
Other values (65) 65
86.7%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%
66 1
1.3%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
식품제조가공업
75 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 75
100.0%

Length

2024-03-23T05:30:10.379197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:30:10.785375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 75
100.0%

업소명
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-03-23T05:30:11.347471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length6.36
Min length2

Characters and Unicode

Total characters477
Distinct characters166
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st row월미제면
2nd row신안제분
3rd row평화식품
4th row(주)해정원
5th row유원식품(주)
ValueCountFrequency (%)
주식회사 5
 
5.5%
농업회사법인 2
 
2.2%
월미제면 1
 
1.1%
코미푸드 1
 
1.1%
주)아르토스 1
 
1.1%
가야통상1 1
 
1.1%
주)슬로베이크비엔피 1
 
1.1%
디에스푸드 1
 
1.1%
오레스트 1
 
1.1%
그레이드원커피로스터스 1
 
1.1%
Other values (76) 76
83.5%
2024-03-23T05:30:12.664742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 31
 
6.5%
품 22
 
4.6%
22
 
4.6%
주 19
 
4.0%
회 12
 
2.5%
드 12
 
2.5%
사 12
 
2.5%
이 12
 
2.5%
( 11
 
2.3%
) 11
 
2.3%
Other values (156) 313
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 415
87.0%
Space Separator 22
 
4.6%
Open Punctuation 11
 
2.3%
Close Punctuation 11
 
2.3%
Decimal Number 9
 
1.9%
Uppercase Letter 7
 
1.5%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 31
 
7.5%
품 22
 
5.3%
주 19
 
4.6%
회 12
 
2.9%
드 12
 
2.9%
사 12
 
2.9%
이 12
 
2.9%
스 11
 
2.7%
프 8
 
1.9%
신 8
 
1.9%
Other values (141) 268
64.6%
Uppercase Letter
ValueCountFrequency (%)
F 1
14.3%
M 1
14.3%
C 1
14.3%
A 1
14.3%
E 1
14.3%
R 1
14.3%
O 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 3
33.3%
0 2
22.2%
7 2
22.2%
6 2
22.2%
Space Separator
ValueCountFrequency (%)
22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
& 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 415
87.0%
Common 55
 
11.5%
Latin 7
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 31
 
7.5%
품 22
 
5.3%
주 19
 
4.6%
회 12
 
2.9%
드 12
 
2.9%
사 12
 
2.9%
이 12
 
2.9%
스 11
 
2.7%
프 8
 
1.9%
신 8
 
1.9%
Other values (141) 268
64.6%
Common
ValueCountFrequency (%)
22
40.0%
( 11
20.0%
) 11
20.0%
1 3
 
5.5%
0 2
 
3.6%
7 2
 
3.6%
6 2
 
3.6%
& 2
 
3.6%
Latin
ValueCountFrequency (%)
F 1
14.3%
M 1
14.3%
C 1
14.3%
A 1
14.3%
E 1
14.3%
R 1
14.3%
O 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 415
87.0%
ASCII 62
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 31
 
7.5%
품 22
 
5.3%
주 19
 
4.6%
회 12
 
2.9%
드 12
 
2.9%
사 12
 
2.9%
이 12
 
2.9%
스 11
 
2.7%
프 8
 
1.9%
신 8
 
1.9%
Other values (141) 268
64.6%
ASCII
ValueCountFrequency (%)
22
35.5%
( 11
17.7%
) 11
17.7%
1 3
 
4.8%
0 2
 
3.2%
7 2
 
3.2%
6 2
 
3.2%
& 2
 
3.2%
F 1
 
1.6%
M 1
 
1.6%
Other values (5) 5
 
8.1%

소재지(도로명)
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-03-23T05:30:13.367385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length33.533333
Min length23

Characters and Unicode

Total characters2515
Distinct characters134
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 독정이로 10 (용현동)
2nd row인천광역시 미추홀구 석정로333번길 20 (도화동)
3rd row인천광역시 미추홀구 송림로307번길 149 (도화동)
4th row인천광역시 미추홀구 염전로165번길 52-45 (도화동)
5th row인천광역시 미추홀구 송림로307번길 55 (도화동)
ValueCountFrequency (%)
인천광역시 75
 
16.2%
미추홀구 75
 
16.2%
주안동 33
 
7.1%
도화동 17
 
3.7%
숭의동 10
 
2.2%
방축로 9
 
1.9%
312 7
 
1.5%
염전로 7
 
1.5%
용현동 6
 
1.3%
1층 6
 
1.3%
Other values (168) 219
47.2%
2024-03-23T05:30:14.779412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
392
 
15.6%
1 96
 
3.8%
인 90
 
3.6%
추 80
 
3.2%
미 80
 
3.2%
홀 79
 
3.1%
) 77
 
3.1%
동 77
 
3.1%
( 77
 
3.1%
구 76
 
3.0%
Other values (124) 1391
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1460
58.1%
Decimal Number 418
 
16.6%
Space Separator 392
 
15.6%
Close Punctuation 77
 
3.1%
Open Punctuation 77
 
3.1%
Other Punctuation 46
 
1.8%
Dash Punctuation 17
 
0.7%
Uppercase Letter 14
 
0.6%
Lowercase Letter 12
 
0.5%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 90
 
6.2%
추 80
 
5.5%
미 80
 
5.5%
홀 79
 
5.4%
동 77
 
5.3%
구 76
 
5.2%
광 76
 
5.2%
시 75
 
5.1%
역 75
 
5.1%
천 75
 
5.1%
Other values (100) 677
46.4%
Decimal Number
ValueCountFrequency (%)
1 96
23.0%
2 64
15.3%
3 62
14.8%
0 44
10.5%
5 39
9.3%
6 29
 
6.9%
4 28
 
6.7%
8 22
 
5.3%
7 19
 
4.5%
9 15
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
J 8
57.1%
T 3
 
21.4%
B 2
 
14.3%
C 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
w 3
25.0%
e 3
25.0%
r 3
25.0%
o 3
25.0%
Space Separator
ValueCountFrequency (%)
392
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Other Punctuation
ValueCountFrequency (%)
, 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1460
58.1%
Common 1029
40.9%
Latin 26
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 90
 
6.2%
추 80
 
5.5%
미 80
 
5.5%
홀 79
 
5.4%
동 77
 
5.3%
구 76
 
5.2%
광 76
 
5.2%
시 75
 
5.1%
역 75
 
5.1%
천 75
 
5.1%
Other values (100) 677
46.4%
Common
ValueCountFrequency (%)
392
38.1%
1 96
 
9.3%
) 77
 
7.5%
( 77
 
7.5%
2 64
 
6.2%
3 62
 
6.0%
, 46
 
4.5%
0 44
 
4.3%
5 39
 
3.8%
6 29
 
2.8%
Other values (6) 103
 
10.0%
Latin
ValueCountFrequency (%)
J 8
30.8%
T 3
 
11.5%
w 3
 
11.5%
e 3
 
11.5%
r 3
 
11.5%
o 3
 
11.5%
B 2
 
7.7%
C 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1460
58.1%
ASCII 1055
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
392
37.2%
1 96
 
9.1%
) 77
 
7.3%
( 77
 
7.3%
2 64
 
6.1%
3 62
 
5.9%
, 46
 
4.4%
0 44
 
4.2%
5 39
 
3.7%
6 29
 
2.7%
Other values (14) 129
 
12.2%
Hangul
ValueCountFrequency (%)
인 90
 
6.2%
추 80
 
5.5%
미 80
 
5.5%
홀 79
 
5.4%
동 77
 
5.3%
구 76
 
5.2%
광 76
 
5.2%
시 75
 
5.1%
역 75
 
5.1%
천 75
 
5.1%
Other values (100) 677
46.4%

소재지(지번)
Text

Distinct72
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2024-03-23T05:30:15.303411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length36
Mean length26.28
Min length19

Characters and Unicode

Total characters1971
Distinct characters111
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)93.3%

Sample

1st row인천광역시 미추홀구 용현동 490-16
2nd row인천광역시 미추홀구 도화동 120-31
3rd row인천광역시 미추홀구 도화동 831
4th row인천광역시 미추홀구 도화동 822-7
5th row인천광역시 미추홀구 도화동 767-7 (1층,2층)
ValueCountFrequency (%)
인천광역시 75
20.3%
미추홀구 75
20.3%
주안동 33
 
8.9%
도화동 17
 
4.6%
숭의동 10
 
2.7%
1385-10 7
 
1.9%
용현동 6
 
1.6%
관교동 4
 
1.1%
주안 4
 
1.1%
학익동 4
 
1.1%
Other values (116) 135
36.5%
2024-03-23T05:30:16.377439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
366
18.6%
1 94
 
4.8%
인 78
 
4.0%
광 76
 
3.9%
시 76
 
3.9%
미 76
 
3.9%
추 76
 
3.9%
홀 76
 
3.9%
구 76
 
3.9%
천 75
 
3.8%
Other values (101) 902
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1090
55.3%
Decimal Number 403
 
20.4%
Space Separator 366
 
18.6%
Dash Punctuation 70
 
3.6%
Uppercase Letter 12
 
0.6%
Lowercase Letter 12
 
0.6%
Other Punctuation 8
 
0.4%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 78
 
7.2%
광 76
 
7.0%
시 76
 
7.0%
미 76
 
7.0%
추 76
 
7.0%
홀 76
 
7.0%
구 76
 
7.0%
천 75
 
6.9%
동 75
 
6.9%
역 75
 
6.9%
Other values (77) 331
30.4%
Decimal Number
ValueCountFrequency (%)
1 94
23.3%
2 48
11.9%
8 45
11.2%
3 42
10.4%
0 37
 
9.2%
5 34
 
8.4%
4 31
 
7.7%
6 30
 
7.4%
7 23
 
5.7%
9 19
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
J 6
50.0%
T 3
25.0%
B 2
 
16.7%
O 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
r 3
25.0%
o 3
25.0%
w 3
25.0%
e 3
25.0%
Space Separator
ValueCountFrequency (%)
366
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1090
55.3%
Common 857
43.5%
Latin 24
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 78
 
7.2%
광 76
 
7.0%
시 76
 
7.0%
미 76
 
7.0%
추 76
 
7.0%
홀 76
 
7.0%
구 76
 
7.0%
천 75
 
6.9%
동 75
 
6.9%
역 75
 
6.9%
Other values (77) 331
30.4%
Common
ValueCountFrequency (%)
366
42.7%
1 94
 
11.0%
- 70
 
8.2%
2 48
 
5.6%
8 45
 
5.3%
3 42
 
4.9%
0 37
 
4.3%
5 34
 
4.0%
4 31
 
3.6%
6 30
 
3.5%
Other values (6) 60
 
7.0%
Latin
ValueCountFrequency (%)
J 6
25.0%
r 3
12.5%
T 3
12.5%
o 3
12.5%
w 3
12.5%
e 3
12.5%
B 2
 
8.3%
O 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1090
55.3%
ASCII 881
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
366
41.5%
1 94
 
10.7%
- 70
 
7.9%
2 48
 
5.4%
8 45
 
5.1%
3 42
 
4.8%
0 37
 
4.2%
5 34
 
3.9%
4 31
 
3.5%
6 30
 
3.4%
Other values (14) 84
 
9.5%
Hangul
ValueCountFrequency (%)
인 78
 
7.2%
광 76
 
7.0%
시 76
 
7.0%
미 76
 
7.0%
추 76
 
7.0%
홀 76
 
7.0%
구 76
 
7.0%
천 75
 
6.9%
동 75
 
6.9%
역 75
 
6.9%
Other values (77) 331
30.4%

소재지전화
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing39
Missing (%)52.0%
Memory size732.0 B
2024-03-23T05:30:17.037117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.083333
Min length12

Characters and Unicode

Total characters435
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

Unique36 ?
Unique (%)100.0%

Sample

1st row032-883-9787
2nd row032-866-1182
3rd row032-581-7800
4th row032-875-6166
5th row032-439-1727
ValueCountFrequency (%)
032-868-1382 1
 
2.8%
032-885-1721 1
 
2.8%
070-4773-6855 1
 
2.8%
032-426-1382 1
 
2.8%
032-426-2230 1
 
2.8%
070-4062-4344 1
 
2.8%
032-429-0700 1
 
2.8%
032-873-2710 1
 
2.8%
032-888-8260 1
 
2.8%
032-763-4500 1
 
2.8%
Other values (26) 26
72.2%
2024-03-23T05:30:18.469484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 72
16.6%
0 60
13.8%
3 59
13.6%
2 58
13.3%
8 51
11.7%
7 34
7.8%
6 31
7.1%
5 20
 
4.6%
4 19
 
4.4%
1 17
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 363
83.4%
Dash Punctuation 72
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 60
16.5%
3 59
16.3%
2 58
16.0%
8 51
14.0%
7 34
9.4%
6 31
8.5%
5 20
 
5.5%
4 19
 
5.2%
1 17
 
4.7%
9 14
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 435
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 72
16.6%
0 60
13.8%
3 59
13.6%
2 58
13.3%
8 51
11.7%
7 34
7.8%
6 31
7.1%
5 20
 
4.6%
4 19
 
4.4%
1 17
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 435
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 72
16.6%
0 60
13.8%
3 59
13.6%
2 58
13.3%
8 51
11.7%
7 34
7.8%
6 31
7.1%
5 20
 
4.6%
4 19
 
4.4%
1 17
 
3.9%

Interactions

2024-03-23T05:30:07.725165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T05:30:18.862842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)소재지(지번)소재지전화
연번1.0001.0001.0000.9151.000
업소명1.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.000
소재지(지번)0.9151.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.000

Missing values

2024-03-23T05:30:08.170022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T05:30:08.724494image/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

연번업종명업소명소재지(도로명)소재지(지번)소재지전화
01식품제조가공업월미제면인천광역시 미추홀구 독정이로 10 (용현동)인천광역시 미추홀구 용현동 490-16032-883-9787
12식품제조가공업신안제분인천광역시 미추홀구 석정로333번길 20 (도화동)인천광역시 미추홀구 도화동 120-31032-866-1182
23식품제조가공업평화식품인천광역시 미추홀구 송림로307번길 149 (도화동)인천광역시 미추홀구 도화동 831032-581-7800
34식품제조가공업(주)해정원인천광역시 미추홀구 염전로165번길 52-45 (도화동)인천광역시 미추홀구 도화동 822-7032-875-6166
45식품제조가공업유원식품(주)인천광역시 미추홀구 송림로307번길 55 (도화동)인천광역시 미추홀구 도화동 767-7 (1층,2층)<NA>
56식품제조가공업농업회사법인 주식회사 청정식품인천광역시 미추홀구 한나루로357번길 116, 2층 일부,3층,4층 (학익동)인천광역시 미추홀구 학익동 598-5032-439-1727
67식품제조가공업동해식품인천광역시 미추홀구 낙섬중로38번길 17-9 (용현동)인천광역시 미추홀구 용현동 617-84032-888-3332
78식품제조가공업생그린식품인천광역시 미추홀구 경원대로858번길 26, 5호 (주안동)인천광역시 미추홀구 주안동 951-1 5호032-438-3996
89식품제조가공업수양식품인천광역시 미추홀구 참외전로 286-2 (숭의동)인천광역시 미추홀구 숭의동 124-152 74,75호032-883-3871
910식품제조가공업샘물식품인천광역시 미추홀구 한나루로502번길 81 (주안동)인천광역시 미추홀구 주안동 1418-142<NA>
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
6566식품제조가공업진하오식품인천광역시 미추홀구 미추홀대로 716, 메인프라자 305호 (주안동)인천광역시 미추홀구 주안동 166-1 메인프라자 305호<NA>
6667식품제조가공업주식회사 루테리온인천광역시 미추홀구 염창로 63, 광혜원한방병원 1층 (주안동)인천광역시 미추홀구 주안동 24-38 광혜원한방병원<NA>
6768식품제조가공업주식회사 디케이푸드인천광역시 미추홀구 경원대로658번길 5-35 (관교동)인천광역시 미추홀구 관교동 488-2032-889-1554
6869식품제조가공업(주)인크릭스인천광역시 미추홀구 한나루로550번길 18, 1층 (주안동)인천광역시 미추홀구 주안동 598-1<NA>
6970식품제조가공업두드림빵굼터인천광역시 미추홀구 소성로135번길 14, 4층 (학익동)인천광역시 미추홀구 학익동 260-27<NA>
7071식품제조가공업청해신인천광역시 미추홀구 인하로405번길 11-57, 1층 (관교동)인천광역시 미추홀구 관교동 317-29<NA>
7172식품제조가공업주식회사송도즉석반찬 숭의점인천광역시 미추홀구 인중로 10, 3층 (숭의동)인천광역시 미추홀구 숭의동 433-5032-891-6662
7273식품제조가공업어업회사법인 열정바다주식회사인천광역시 미추홀구 장고개로50번길 19-2, 1~2층 (도화동)인천광역시 미추홀구 도화동 704-11 1~2층<NA>
7374식품제조가공업주식회사 정식품인천광역시 미추홀구 제물량로4번길 42-24, 1층 (숭의동)인천광역시 미추홀구 숭의동 353-29 1층<NA>
7475식품제조가공업팔도에프앤비인천광역시 미추홀구 경인로325번길 22, 인영빌딩 지1층 101호 (주안동)인천광역시 미추홀구 주안동 200-28 인영빌딩<NA>