Overview

Dataset statistics

Number of variables5
Number of observations54
Missing cells34
Missing cells (%)12.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory42.4 B

Variable types

Categorical1
Text4

Dataset

Description인천광역시 부평구 위탁급식영양소 현황 데이터는 업종명, 업소명, 소재지(지번, 도로명) 영업장 면적 조재지 전화번호에 대한 데이터를 제공합니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102608&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
소재지전화 has 34 (63.0%) missing valuesMissing
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2024-04-20 19:01:33.008507
Analysis finished2024-04-20 19:01:34.073645
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size560.0 B
위탁급식영업
54 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 54
100.0%

Length

2024-04-21T04:01:34.481018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T04:01:34.769303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 54
100.0%

업소명
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size560.0 B
2024-04-21T04:01:35.467249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length11.833333
Min length3

Characters and Unicode

Total characters639
Distinct characters179
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

Unique52 ?
Unique (%)96.3%

Sample

1st row(주)한울에프앤에스 모다이노칩 부평점
2nd row(주)동원홈푸드 부평에스엘피점
3rd row씨엔비푸드
4th row아라마크(주)롯데마트부평역점
5th row진명앤엄마푸드시스템(주)캉가루
ValueCountFrequency (%)
근로복지공단 3
 
3.8%
주)동원홈푸드 3
 
3.8%
삼송쌀보리식당 2
 
2.5%
요양원 2
 
2.5%
부평점 2
 
2.5%
더채움(사랑의 2
 
2.5%
주)아워홈 2
 
2.5%
구내식당 1
 
1.2%
케이티 1
 
1.2%
본점 1
 
1.2%
Other values (61) 61
76.2%
2024-04-21T04:01:36.404510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 33
 
5.2%
) 33
 
5.2%
26
 
4.1%
주 25
 
3.9%
드 21
 
3.3%
푸 20
 
3.1%
점 20
 
3.1%
스 16
 
2.5%
부 15
 
2.3%
원 14
 
2.2%
Other values (169) 416
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 539
84.4%
Open Punctuation 33
 
5.2%
Close Punctuation 33
 
5.2%
Space Separator 26
 
4.1%
Uppercase Letter 4
 
0.6%
Decimal Number 3
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 25
 
4.6%
드 21
 
3.9%
푸 20
 
3.7%
점 20
 
3.7%
스 16
 
3.0%
부 15
 
2.8%
원 14
 
2.6%
식 13
 
2.4%
평 13
 
2.4%
이 11
 
2.0%
Other values (159) 371
68.8%
Uppercase Letter
ValueCountFrequency (%)
S 1
25.0%
F 1
25.0%
G 1
25.0%
M 1
25.0%
Decimal Number
ValueCountFrequency (%)
3 2
66.7%
2 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 539
84.4%
Common 96
 
15.0%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 25
 
4.6%
드 21
 
3.9%
푸 20
 
3.7%
점 20
 
3.7%
스 16
 
3.0%
부 15
 
2.8%
원 14
 
2.6%
식 13
 
2.4%
평 13
 
2.4%
이 11
 
2.0%
Other values (159) 371
68.8%
Common
ValueCountFrequency (%)
( 33
34.4%
) 33
34.4%
26
27.1%
3 2
 
2.1%
2 1
 
1.0%
/ 1
 
1.0%
Latin
ValueCountFrequency (%)
S 1
25.0%
F 1
25.0%
G 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 539
84.4%
ASCII 100
 
15.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 33
33.0%
) 33
33.0%
26
26.0%
3 2
 
2.0%
2 1
 
1.0%
S 1
 
1.0%
/ 1
 
1.0%
F 1
 
1.0%
G 1
 
1.0%
M 1
 
1.0%
Hangul
ValueCountFrequency (%)
주 25
 
4.6%
드 21
 
3.9%
푸 20
 
3.7%
점 20
 
3.7%
스 16
 
3.0%
부 15
 
2.8%
원 14
 
2.6%
식 13
 
2.4%
평 13
 
2.4%
이 11
 
2.0%
Other values (159) 371
68.8%

소재지(도로명)
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size560.0 B
2024-04-21T04:01:37.305004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length41.5
Mean length35.203704
Min length9

Characters and Unicode

Total characters1901
Distinct characters156
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

Unique54 ?
Unique (%)100.0%

Sample

1st row인천광역시 부평구 부평문화로 35, 지하2층 일부호 (부평동)
2nd row인천광역시 부평구 길주로 633, 삼산메디캐슬 7층층 (삼산동)
3rd row인천광역시 부평구 평천로199번길 25 (청천동)
4th row인천광역시 부평구 광장로 16 (부평동)
5th row인천광역시 부평구 안남로418번길 56 (청천동)
ValueCountFrequency (%)
인천광역시 53
 
14.1%
부평구 53
 
14.1%
청천동 28
 
7.4%
일부호 17
 
4.5%
4층 7
 
1.9%
부평동 7
 
1.9%
일부 6
 
1.6%
지하1층 6
 
1.6%
새벌로 5
 
1.3%
1층 5
 
1.3%
Other values (139) 190
50.4%
2024-04-21T04:01:38.621043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
323
 
17.0%
부 110
 
5.8%
천 89
 
4.7%
평 82
 
4.3%
동 73
 
3.8%
) 61
 
3.2%
( 61
 
3.2%
구 59
 
3.1%
인 58
 
3.1%
로 56
 
2.9%
Other values (146) 929
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1137
59.8%
Space Separator 323
 
17.0%
Decimal Number 253
 
13.3%
Close Punctuation 61
 
3.2%
Open Punctuation 61
 
3.2%
Other Punctuation 48
 
2.5%
Uppercase Letter 14
 
0.7%
Math Symbol 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 110
 
9.7%
천 89
 
7.8%
평 82
 
7.2%
동 73
 
6.4%
구 59
 
5.2%
인 58
 
5.1%
로 56
 
4.9%
광 54
 
4.7%
역 54
 
4.7%
시 53
 
4.7%
Other values (119) 449
39.5%
Decimal Number
ValueCountFrequency (%)
1 47
18.6%
2 42
16.6%
4 37
14.6%
3 25
9.9%
5 21
8.3%
7 19
7.5%
6 18
 
7.1%
8 17
 
6.7%
9 16
 
6.3%
0 11
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
A 3
21.4%
E 2
14.3%
L 2
14.3%
C 2
14.3%
K 1
 
7.1%
T 1
 
7.1%
R 1
 
7.1%
P 1
 
7.1%
S 1
 
7.1%
Math Symbol
ValueCountFrequency (%)
< 1
33.3%
> 1
33.3%
~ 1
33.3%
Space Separator
ValueCountFrequency (%)
323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Other Punctuation
ValueCountFrequency (%)
, 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1137
59.8%
Common 750
39.5%
Latin 14
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 110
 
9.7%
천 89
 
7.8%
평 82
 
7.2%
동 73
 
6.4%
구 59
 
5.2%
인 58
 
5.1%
로 56
 
4.9%
광 54
 
4.7%
역 54
 
4.7%
시 53
 
4.7%
Other values (119) 449
39.5%
Common
ValueCountFrequency (%)
323
43.1%
) 61
 
8.1%
( 61
 
8.1%
, 48
 
6.4%
1 47
 
6.3%
2 42
 
5.6%
4 37
 
4.9%
3 25
 
3.3%
5 21
 
2.8%
7 19
 
2.5%
Other values (8) 66
 
8.8%
Latin
ValueCountFrequency (%)
A 3
21.4%
E 2
14.3%
L 2
14.3%
C 2
14.3%
K 1
 
7.1%
T 1
 
7.1%
R 1
 
7.1%
P 1
 
7.1%
S 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1137
59.8%
ASCII 764
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
323
42.3%
) 61
 
8.0%
( 61
 
8.0%
, 48
 
6.3%
1 47
 
6.2%
2 42
 
5.5%
4 37
 
4.8%
3 25
 
3.3%
5 21
 
2.7%
7 19
 
2.5%
Other values (17) 80
 
10.5%
Hangul
ValueCountFrequency (%)
부 110
 
9.7%
천 89
 
7.8%
평 82
 
7.2%
동 73
 
6.4%
구 59
 
5.2%
인 58
 
5.1%
로 56
 
4.9%
광 54
 
4.7%
역 54
 
4.7%
시 53
 
4.7%
Other values (119) 449
39.5%

소재지(지번)
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size560.0 B
2024-04-21T04:01:39.509865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38.5
Mean length27.851852
Min length18

Characters and Unicode

Total characters1504
Distinct characters129
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

Unique54 ?
Unique (%)100.0%

Sample

1st row인천광역시 부평구 부평동 70-127 모다이노칩
2nd row인천광역시 부평구 삼산동 464-1 삼산메디캐슬 7층
3rd row인천광역시 부평구 청천동 422-1
4th row인천광역시 부평구 부평동 738-21
5th row인천광역시 부평구 청천동 419
ValueCountFrequency (%)
인천광역시 54
17.6%
부평구 54
17.6%
청천동 28
 
9.1%
일부 11
 
3.6%
부평동 9
 
2.9%
지하1층 5
 
1.6%
4층 5
 
1.6%
일부호 4
 
1.3%
구산동 4
 
1.3%
십정동 4
 
1.3%
Other values (110) 129
42.0%
2024-04-21T04:01:40.882355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
304
20.2%
부 89
 
5.9%
천 85
 
5.7%
평 69
 
4.6%
동 69
 
4.6%
구 60
 
4.0%
인 58
 
3.9%
1 56
 
3.7%
역 55
 
3.7%
시 54
 
3.6%
Other values (119) 605
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 877
58.3%
Space Separator 304
 
20.2%
Decimal Number 257
 
17.1%
Dash Punctuation 40
 
2.7%
Open Punctuation 8
 
0.5%
Close Punctuation 8
 
0.5%
Uppercase Letter 6
 
0.4%
Other Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 89
 
10.1%
천 85
 
9.7%
평 69
 
7.9%
동 69
 
7.9%
구 60
 
6.8%
인 58
 
6.6%
역 55
 
6.3%
시 54
 
6.2%
광 54
 
6.2%
청 29
 
3.3%
Other values (98) 255
29.1%
Decimal Number
ValueCountFrequency (%)
1 56
21.8%
4 46
17.9%
2 36
14.0%
3 23
8.9%
6 21
 
8.2%
7 18
 
7.0%
5 17
 
6.6%
9 16
 
6.2%
8 12
 
4.7%
0 12
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 1
16.7%
A 1
16.7%
K 1
16.7%
T 1
16.7%
L 1
16.7%
C 1
16.7%
Space Separator
ValueCountFrequency (%)
304
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 877
58.3%
Common 621
41.3%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 89
 
10.1%
천 85
 
9.7%
평 69
 
7.9%
동 69
 
7.9%
구 60
 
6.8%
인 58
 
6.6%
역 55
 
6.3%
시 54
 
6.2%
광 54
 
6.2%
청 29
 
3.3%
Other values (98) 255
29.1%
Common
ValueCountFrequency (%)
304
49.0%
1 56
 
9.0%
4 46
 
7.4%
- 40
 
6.4%
2 36
 
5.8%
3 23
 
3.7%
6 21
 
3.4%
7 18
 
2.9%
5 17
 
2.7%
9 16
 
2.6%
Other values (5) 44
 
7.1%
Latin
ValueCountFrequency (%)
S 1
16.7%
A 1
16.7%
K 1
16.7%
T 1
16.7%
L 1
16.7%
C 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 877
58.3%
ASCII 627
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
304
48.5%
1 56
 
8.9%
4 46
 
7.3%
- 40
 
6.4%
2 36
 
5.7%
3 23
 
3.7%
6 21
 
3.3%
7 18
 
2.9%
5 17
 
2.7%
9 16
 
2.6%
Other values (11) 50
 
8.0%
Hangul
ValueCountFrequency (%)
부 89
 
10.1%
천 85
 
9.7%
평 69
 
7.9%
동 69
 
7.9%
구 60
 
6.8%
인 58
 
6.6%
역 55
 
6.3%
시 54
 
6.2%
광 54
 
6.2%
청 29
 
3.3%
Other values (98) 255
29.1%

소재지전화
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing34
Missing (%)63.0%
Memory size560.0 B
2024-04-21T04:01:41.594193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters240
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

Unique20 ?
Unique (%)100.0%

Sample

1st row032-452-2737
2nd row032-503-9058
3rd row032-508-0483
4th row032-454-2618
5th row032-523-2539
ValueCountFrequency (%)
032-500-2528 1
 
5.0%
032-508-0483 1
 
5.0%
032-520-2177 1
 
5.0%
032-328-1852 1
 
5.0%
032-511-6953 1
 
5.0%
032-527-2150 1
 
5.0%
032-553-1235 1
 
5.0%
032-526-7072 1
 
5.0%
032-710-1812 1
 
5.0%
032-280-5292 1
 
5.0%
Other values (10) 10
50.0%
2024-04-21T04:01:42.722963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44
18.3%
2 41
17.1%
- 40
16.7%
5 30
12.5%
3 29
12.1%
1 15
 
6.2%
8 11
 
4.6%
7 11
 
4.6%
4 9
 
3.8%
9 7
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 200
83.3%
Dash Punctuation 40
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
22.0%
2 41
20.5%
5 30
15.0%
3 29
14.5%
1 15
 
7.5%
8 11
 
5.5%
7 11
 
5.5%
4 9
 
4.5%
9 7
 
3.5%
6 3
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 44
18.3%
2 41
17.1%
- 40
16.7%
5 30
12.5%
3 29
12.1%
1 15
 
6.2%
8 11
 
4.6%
7 11
 
4.6%
4 9
 
3.8%
9 7
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44
18.3%
2 41
17.1%
- 40
16.7%
5 30
12.5%
3 29
12.1%
1 15
 
6.2%
8 11
 
4.6%
7 11
 
4.6%
4 9
 
3.8%
9 7
 
2.9%

Correlations

2024-04-21T04:01:42.984148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지(지번)소재지전화
업소명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000

Missing values

2024-04-21T04:01:33.644206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T04:01:33.954614image/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

업종명업소명소재지(도로명)소재지(지번)소재지전화
0위탁급식영업(주)한울에프앤에스 모다이노칩 부평점인천광역시 부평구 부평문화로 35, 지하2층 일부호 (부평동)인천광역시 부평구 부평동 70-127 모다이노칩032-452-2737
1위탁급식영업(주)동원홈푸드 부평에스엘피점인천광역시 부평구 길주로 633, 삼산메디캐슬 7층층 (삼산동)인천광역시 부평구 삼산동 464-1 삼산메디캐슬 7층032-503-9058
2위탁급식영업씨엔비푸드인천광역시 부평구 평천로199번길 25 (청천동)인천광역시 부평구 청천동 422-1032-508-0483
3위탁급식영업아라마크(주)롯데마트부평역점인천광역시 부평구 광장로 16 (부평동)인천광역시 부평구 부평동 738-21032-454-2618
4위탁급식영업진명앤엄마푸드시스템(주)캉가루인천광역시 부평구 안남로418번길 56 (청천동)인천광역시 부평구 청천동 419032-523-2539
5위탁급식영업씨제이프레시웨이(주) 동서식품부평공장점인천광역시 부평구 새벌로 55 (청천동)인천광역시 부평구 청천동 411-1<NA>
6위탁급식영업삼성F/S 삼익전자공업(주)인천광역시 부평구 새벌로 17 (청천동)인천광역시 부평구 청천동 419-3032-500-5000
7위탁급식영업아라마크(주)선광인천인천광역시 부평구 부평대로313번길 14 (청천동)인천광역시 부평구 청천동 427-12<NA>
8위탁급식영업두레(이천일아울렛부평점)인천광역시 부평구 경원대로 1277 (산곡동)인천광역시 부평구 산곡동 311-151032-519-2001
9위탁급식영업제이제이케터링(주)인천광역시 부평구 길주로 623 (삼산동,롯데마트 삼산점)인천광역시 부평구 삼산동 465-1 롯데마트 삼산점<NA>
업종명업소명소재지(도로명)소재지(지번)소재지전화
44위탁급식영업가람푸드써비스(주) 글로벌숙련기술진흥원지점인천광역시 부평구 무네미로448번길 77, 4층 일부호 (구산동)인천광역시 부평구 구산동 34-1<NA>
45위탁급식영업진흥함바<REPLACE>인천광역시 부평구 부평동 665<NA>
46위탁급식영업이팝푸드서비스인천광역시 부평구 길주로 415, 부평우체국 3층 일부호 (청천동)인천광역시 부평구 청천동 327 부평우체국 3층 일부<NA>
47위탁급식영업해피푸드인천광역시 부평구 여우재로26번길 39-1, 1층 일부호 (십정동)인천광역시 부평구 십정동 63-2 1층 일부<NA>
48위탁급식영업(주)햇살드림푸드서비스인천광역시 부평구 청천마차로 102 (주)에스엠알효상 A동(공장동) 4층 일부호 (청천동)인천광역시 부평구 청천동 383-1 (주)에스엠알효상 A동(공장동) 4층 일부<NA>
49위탁급식영업케이티 구내식당 부평지사인천광역시 부평구 원적로 399, KT부평지사 4층 일부호 (산곡동)인천광역시 부평구 산곡동 410 KT부평지사 4층 일부<NA>
50위탁급식영업더채움(사랑의 요양원 3호점)인천광역시 부평구 대정로 92, 10층 일부호 (부평동)인천광역시 부평구 부평동 563-1 10층 일부호<NA>
51위탁급식영업신우몰드위탁급식소인천광역시 부평구 안남로402번길 84, 2동 2층 (청천동)인천광역시 부평구 청천동 423-12 2동 2호<NA>
52위탁급식영업더채움(사랑의 요양원 본점)인천광역시 부평구 부흥로 336, LS빌딩 7층 일부호 (부평동)인천광역시 부평구 부평동 217-2 LS빌딩 7층 일부호<NA>
53위탁급식영업맛있는정원인천광역시 부평구 부평대로329번길 42 (주)인산씨앤씨 1층 일부호 (청천동)인천광역시 부평구 청천동 426-6 (주)인산씨앤씨 1층 일부호<NA>