Overview

Dataset statistics

Number of variables6
Number of observations51
Missing cells32
Missing cells (%)10.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory51.6 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 미추홀구 유통전문판매업 현황에 대한 데이터로 업종명, 업소명, 도로명주소, 지번주소, 전화번호,위도,경도 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15080845/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 32 (62.7%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:54:09.251475
Analysis finished2024-03-23 05:54:12.111057
Duration2.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-03-23T05:54:12.421540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2024-03-23T05:54:12.892320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
유통전문판매업
51 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통전문판매업 51
100.0%

Length

2024-03-23T05:54:13.397281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T05:54:13.828274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통전문판매업 51
100.0%

업소명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-03-23T05:54:14.375905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length6.7843137
Min length2

Characters and Unicode

Total characters346
Distinct characters145
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

Unique51 ?
Unique (%)100.0%

Sample

1st row평화식품
2nd row(주)원데이뉴트리션
3rd row하늘초농산
4th row(주)불로만
5th row신평원농산
ValueCountFrequency (%)
주식회사 10
 
15.9%
더블제이유 1
 
1.6%
알파웨이 1
 
1.6%
빌립푸드 1
 
1.6%
주)미띤 1
 
1.6%
에스엔비 1
 
1.6%
주)인큐레이션 1
 
1.6%
디스위크 1
 
1.6%
삼대인천게장 1
 
1.6%
고기미담 1
 
1.6%
Other values (44) 44
69.8%
2024-03-23T05:54:15.392038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 26
 
7.5%
) 15
 
4.3%
( 15
 
4.3%
식 12
 
3.5%
12
 
3.5%
사 11
 
3.2%
스 11
 
3.2%
이 11
 
3.2%
회 10
 
2.9%
인 8
 
2.3%
Other values (135) 215
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
86.1%
Close Punctuation 15
 
4.3%
Open Punctuation 15
 
4.3%
Space Separator 12
 
3.5%
Lowercase Letter 4
 
1.2%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 26
 
8.7%
식 12
 
4.0%
사 11
 
3.7%
스 11
 
3.7%
이 11
 
3.7%
회 10
 
3.4%
인 8
 
2.7%
드 6
 
2.0%
산 6
 
2.0%
에 6
 
2.0%
Other values (127) 191
64.1%
Lowercase Letter
ValueCountFrequency (%)
k 1
25.0%
a 1
25.0%
e 1
25.0%
h 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
86.1%
Common 42
 
12.1%
Latin 6
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 26
 
8.7%
식 12
 
4.0%
사 11
 
3.7%
스 11
 
3.7%
이 11
 
3.7%
회 10
 
3.4%
인 8
 
2.7%
드 6
 
2.0%
산 6
 
2.0%
에 6
 
2.0%
Other values (127) 191
64.1%
Latin
ValueCountFrequency (%)
T 2
33.3%
k 1
16.7%
a 1
16.7%
e 1
16.7%
h 1
16.7%
Common
ValueCountFrequency (%)
) 15
35.7%
( 15
35.7%
12
28.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
86.1%
ASCII 48
 
13.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 26
 
8.7%
식 12
 
4.0%
사 11
 
3.7%
스 11
 
3.7%
이 11
 
3.7%
회 10
 
3.4%
인 8
 
2.7%
드 6
 
2.0%
산 6
 
2.0%
에 6
 
2.0%
Other values (127) 191
64.1%
ASCII
ValueCountFrequency (%)
) 15
31.2%
( 15
31.2%
12
25.0%
T 2
 
4.2%
k 1
 
2.1%
a 1
 
2.1%
e 1
 
2.1%
h 1
 
2.1%

소재지(도로명)
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-03-23T05:54:16.261707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length38.137255
Min length25

Characters and Unicode

Total characters1945
Distinct characters168
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

Unique51 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 송림로307번길 149 (도화동)
2nd row인천광역시 미추홀구 염전로 330, 4층 405호 (주안동, 주안J타워1차지식산업센터)
3rd row인천광역시 미추홀구 한나루로357번길 165, 104동 803호 (학익동, 현광아파트)
4th row인천광역시 미추홀구 장고개로42번길 41 (도화동)
5th row인천광역시 미추홀구 샛골로9번길 3-10 (숭의동)
ValueCountFrequency (%)
인천광역시 51
 
14.1%
미추홀구 51
 
14.1%
주안동 20
 
5.5%
학익동 9
 
2.5%
도화동 8
 
2.2%
2층 7
 
1.9%
숭의동 6
 
1.7%
용현동 6
 
1.7%
1층 5
 
1.4%
주안로 4
 
1.1%
Other values (162) 195
53.9%
2024-03-23T05:54:18.494814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
311
 
16.0%
1 75
 
3.9%
동 67
 
3.4%
인 65
 
3.3%
, 60
 
3.1%
홀 57
 
2.9%
천 57
 
2.9%
시 54
 
2.8%
미 54
 
2.8%
광 53
 
2.7%
Other values (158) 1092
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1107
56.9%
Decimal Number 334
 
17.2%
Space Separator 311
 
16.0%
Other Punctuation 61
 
3.1%
Close Punctuation 51
 
2.6%
Open Punctuation 51
 
2.6%
Uppercase Letter 15
 
0.8%
Dash Punctuation 11
 
0.6%
Lowercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 67
 
6.1%
인 65
 
5.9%
홀 57
 
5.1%
천 57
 
5.1%
시 54
 
4.9%
미 54
 
4.9%
광 53
 
4.8%
역 53
 
4.8%
추 53
 
4.8%
구 52
 
4.7%
Other values (127) 542
49.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
13.3%
P 2
13.3%
J 2
13.3%
B 2
13.3%
E 1
6.7%
I 1
6.7%
O 1
6.7%
Q 1
6.7%
N 1
6.7%
T 1
6.7%
Decimal Number
ValueCountFrequency (%)
1 75
22.5%
3 47
14.1%
0 45
13.5%
2 38
11.4%
5 33
9.9%
4 28
 
8.4%
7 22
 
6.6%
6 19
 
5.7%
8 14
 
4.2%
9 13
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
c 1
25.0%
g 1
25.0%
v 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 60
98.4%
/ 1
 
1.6%
Space Separator
ValueCountFrequency (%)
311
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1107
56.9%
Common 819
42.1%
Latin 19
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 67
 
6.1%
인 65
 
5.9%
홀 57
 
5.1%
천 57
 
5.1%
시 54
 
4.9%
미 54
 
4.9%
광 53
 
4.8%
역 53
 
4.8%
추 53
 
4.8%
구 52
 
4.7%
Other values (127) 542
49.0%
Common
ValueCountFrequency (%)
311
38.0%
1 75
 
9.2%
, 60
 
7.3%
) 51
 
6.2%
( 51
 
6.2%
3 47
 
5.7%
0 45
 
5.5%
2 38
 
4.6%
5 33
 
4.0%
4 28
 
3.4%
Other values (6) 80
 
9.8%
Latin
ValueCountFrequency (%)
A 2
 
10.5%
P 2
 
10.5%
J 2
 
10.5%
B 2
 
10.5%
e 1
 
5.3%
E 1
 
5.3%
I 1
 
5.3%
O 1
 
5.3%
Q 1
 
5.3%
N 1
 
5.3%
Other values (5) 5
26.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1107
56.9%
ASCII 838
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
311
37.1%
1 75
 
8.9%
, 60
 
7.2%
) 51
 
6.1%
( 51
 
6.1%
3 47
 
5.6%
0 45
 
5.4%
2 38
 
4.5%
5 33
 
3.9%
4 28
 
3.3%
Other values (21) 99
 
11.8%
Hangul
ValueCountFrequency (%)
동 67
 
6.1%
인 65
 
5.9%
홀 57
 
5.1%
천 57
 
5.1%
시 54
 
4.9%
미 54
 
4.9%
광 53
 
4.8%
역 53
 
4.8%
추 53
 
4.8%
구 52
 
4.7%
Other values (127) 542
49.0%

소재지(지번)
Text

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-03-23T05:54:19.565361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length26.627451
Min length19

Characters and Unicode

Total characters1358
Distinct characters130
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

Unique47 ?
Unique (%)92.2%

Sample

1st row인천광역시 미추홀구 도화동 831
2nd row인천광역시 미추홀구 주안동 5-4
3rd row인천광역시 미추홀구 학익동 711-3 현광아파트
4th row인천광역시 미추홀구 도화동 83-15
5th row인천광역시 미추홀구 숭의동 432-18
ValueCountFrequency (%)
인천광역시 51
20.2%
미추홀구 51
20.2%
주안동 20
 
7.9%
학익동 9
 
3.6%
도화동 8
 
3.2%
용현동 6
 
2.4%
숭의동 6
 
2.4%
르네상스빌딩 2
 
0.8%
989-1 2
 
0.8%
현광아파트 2
 
0.8%
Other values (94) 96
37.9%
2024-03-23T05:54:21.021959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
245
 
18.0%
1 60
 
4.4%
인 57
 
4.2%
동 56
 
4.1%
천 54
 
4.0%
시 54
 
4.0%
역 53
 
3.9%
광 53
 
3.9%
미 53
 
3.9%
추 52
 
3.8%
Other values (120) 621
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 800
58.9%
Decimal Number 254
 
18.7%
Space Separator 245
 
18.0%
Dash Punctuation 43
 
3.2%
Uppercase Letter 10
 
0.7%
Lowercase Letter 4
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 57
 
7.1%
동 56
 
7.0%
천 54
 
6.8%
시 54
 
6.8%
역 53
 
6.6%
광 53
 
6.6%
미 53
 
6.6%
추 52
 
6.5%
홀 52
 
6.5%
구 51
 
6.4%
Other values (93) 265
33.1%
Decimal Number
ValueCountFrequency (%)
1 60
23.6%
3 30
11.8%
2 28
11.0%
0 24
 
9.4%
6 23
 
9.1%
4 23
 
9.1%
5 22
 
8.7%
9 20
 
7.9%
8 13
 
5.1%
7 11
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
P 2
20.0%
T 1
10.0%
S 1
10.0%
J 1
10.0%
I 1
10.0%
N 1
10.0%
E 1
10.0%
Q 1
10.0%
O 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
v 1
25.0%
g 1
25.0%
c 1
25.0%
e 1
25.0%
Space Separator
ValueCountFrequency (%)
245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 800
58.9%
Common 544
40.1%
Latin 14
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 57
 
7.1%
동 56
 
7.0%
천 54
 
6.8%
시 54
 
6.8%
역 53
 
6.6%
광 53
 
6.6%
미 53
 
6.6%
추 52
 
6.5%
홀 52
 
6.5%
구 51
 
6.4%
Other values (93) 265
33.1%
Common
ValueCountFrequency (%)
245
45.0%
1 60
 
11.0%
- 43
 
7.9%
3 30
 
5.5%
2 28
 
5.1%
0 24
 
4.4%
6 23
 
4.2%
4 23
 
4.2%
5 22
 
4.0%
9 20
 
3.7%
Other values (4) 26
 
4.8%
Latin
ValueCountFrequency (%)
P 2
14.3%
T 1
 
7.1%
S 1
 
7.1%
J 1
 
7.1%
I 1
 
7.1%
v 1
 
7.1%
g 1
 
7.1%
N 1
 
7.1%
E 1
 
7.1%
Q 1
 
7.1%
Other values (3) 3
21.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 800
58.9%
ASCII 558
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
245
43.9%
1 60
 
10.8%
- 43
 
7.7%
3 30
 
5.4%
2 28
 
5.0%
0 24
 
4.3%
6 23
 
4.1%
4 23
 
4.1%
5 22
 
3.9%
9 20
 
3.6%
Other values (17) 40
 
7.2%
Hangul
ValueCountFrequency (%)
인 57
 
7.1%
동 56
 
7.0%
천 54
 
6.8%
시 54
 
6.8%
역 53
 
6.6%
광 53
 
6.6%
미 53
 
6.6%
추 52
 
6.5%
홀 52
 
6.5%
구 51
 
6.4%
Other values (93) 265
33.1%

소재지전화
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing32
Missing (%)62.7%
Memory size540.0 B
2024-03-23T05:54:21.621957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.157895
Min length12

Characters and Unicode

Total characters231
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

Unique19 ?
Unique (%)100.0%

Sample

1st row032-581-7800
2nd row02-2209-2271
3rd row032-885-6544
4th row032-863-3838
5th row032-883-0165
ValueCountFrequency (%)
032-581-7800 1
 
5.3%
032-866-7231 1
 
5.3%
032-434-4274 1
 
5.3%
070-7424-4113 1
 
5.3%
070-4571-6079 1
 
5.3%
032-214-7186 1
 
5.3%
032-258-8586 1
 
5.3%
070-7954-4501 1
 
5.3%
032-566-3781 1
 
5.3%
032-887-8058 1
 
5.3%
Other values (9) 9
47.4%
2024-03-23T05:54:22.807591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 38
16.5%
0 33
14.3%
2 30
13.0%
3 23
10.0%
8 23
10.0%
6 18
7.8%
1 17
7.4%
7 17
7.4%
4 15
 
6.5%
5 12
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 193
83.5%
Dash Punctuation 38
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33
17.1%
2 30
15.5%
3 23
11.9%
8 23
11.9%
6 18
9.3%
1 17
8.8%
7 17
8.8%
4 15
7.8%
5 12
 
6.2%
9 5
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 231
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 38
16.5%
0 33
14.3%
2 30
13.0%
3 23
10.0%
8 23
10.0%
6 18
7.8%
1 17
7.4%
7 17
7.4%
4 15
 
6.5%
5 12
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 231
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 38
16.5%
0 33
14.3%
2 30
13.0%
3 23
10.0%
8 23
10.0%
6 18
7.8%
1 17
7.4%
7 17
7.4%
4 15
 
6.5%
5 12
 
5.2%

Interactions

2024-03-23T05:54:10.758227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T05:54:23.169631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)소재지(지번)소재지전화
연번1.0001.0001.0000.9691.000
업소명1.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.000
소재지(지번)0.9691.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.000

Missing values

2024-03-23T05:54:11.481020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T05:54:11.963937image/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
01유통전문판매업평화식품인천광역시 미추홀구 송림로307번길 149 (도화동)인천광역시 미추홀구 도화동 831032-581-7800
12유통전문판매업(주)원데이뉴트리션인천광역시 미추홀구 염전로 330, 4층 405호 (주안동, 주안J타워1차지식산업센터)인천광역시 미추홀구 주안동 5-402-2209-2271
23유통전문판매업하늘초농산인천광역시 미추홀구 한나루로357번길 165, 104동 803호 (학익동, 현광아파트)인천광역시 미추홀구 학익동 711-3 현광아파트032-885-6544
34유통전문판매업(주)불로만인천광역시 미추홀구 장고개로42번길 41 (도화동)인천광역시 미추홀구 도화동 83-15032-863-3838
45유통전문판매업신평원농산인천광역시 미추홀구 샛골로9번길 3-10 (숭의동)인천광역시 미추홀구 숭의동 432-18<NA>
56유통전문판매업진이푸드(주)인천광역시 미추홀구 염전로201번길 63 (도화동)인천광역시 미추홀구 도화동 761-8032-883-0165
67유통전문판매업(주)더네이처인천광역시 미추홀구 주안로 215, 302호 (주안동)인천광역시 미추홀구 주안동 49-1102-6203-7168
78유통전문판매업인주피엠씨인천광역시 미추홀구 주안로 78, 3층 (주안동)인천광역시 미추홀구 주안동 233-6032-872-2711
89유통전문판매업인산가 인천지점인천광역시 미추홀구 주안로 117-9, 101호 (주안동, 제이타워)인천광역시 미추홀구 주안동 130-1<NA>
910유통전문판매업(주)에스알지인천광역시 미추홀구 독배로421번길 28, 1층 (용현동)인천광역시 미추홀구 용현동 463-21032-216-6060
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
4142유통전문판매업부제낭만인천광역시 미추홀구 경원대로 717, 105동 1905호 (주안동, 인천관교 한신휴플러스)인천광역시 미추홀구 주안동 1621 인천관교 한신휴플러스 105동 1905호<NA>
4243유통전문판매업주식회사 오큐피인천광역시 미추홀구 경인로349번길 5, 이경우산부인과 5층 (주안동)인천광역시 미추홀구 주안동 194-15 이경우산부인과<NA>
4344유통전문판매업인천로컬푸드생산자협동조합인천광역시 미추홀구 주안로 117-16, 102동 2층 (주안동, 주안행복주택)인천광역시 미추홀구 주안동 124-1 주안행복주택<NA>
4445유통전문판매업봄은인천광역시 미추홀구 장천로112번길 44, 11층 1108호 (숭의동, 스카이시티 201동)인천광역시 미추홀구 숭의동 33-234 스카이시티 201동<NA>
4546유통전문판매업주식회사 엘오에이치인천광역시 미추홀구 구월로 27, 3층 (주안동)인천광역시 미추홀구 주안동 1585-4032-421-6919
4647유통전문판매업아인헬스케어 주식회사인천광역시 미추홀구 경인로349번길 5, OQP 4층 (주안동)인천광역시 미추홀구 주안동 194-15 OQP<NA>
4748유통전문판매업(주)엑츠에프씨인천광역시 미추홀구 인주대로 51, 더스테이프라임월드 203호 (숭의동)인천광역시 미추홀구 숭의동 331-12 더스테이프라임월드<NA>
4849유통전문판매업주식회사 에이치피엘인천광역시 미추홀구 인주대로 314-1, 3층 (주안동)인천광역시 미추홀구 주안동 722-26<NA>
4950유통전문판매업원제이컴퍼니인천광역시 미추홀구 매소홀로 70, 용현2단지금호타운 2층 일부호 (용현동)인천광역시 미추홀구 용현동 647 용현2단지금호타운<NA>
5051유통전문판매업(주)더파스인천광역시 미추홀구 매소홀로 262, 15층 15007호 (학익동)인천광역시 미추홀구 학익동 401-58<NA>