Overview

Dataset statistics

Number of variables6
Number of observations393
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.9 KiB
Average record size in memory49.3 B

Variable types

Numeric1
Text3
Categorical1
DateTime1

Dataset

Description연수구 내 전문건설업 현황 (상호, 설립일자, 업종)2022년 새롭게 도입된 전문건설업 대업종화 시행 이후의 데이터, 2023년 4월기준의 데이터이며 건설업 등록목록은 상시 변동될 가능성 있음
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15065900&srcSe=7661IVAWM27C61E190

Alerts

번호 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 05:40:40.546107
Analysis finished2024-03-18 05:40:42.502550
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct393
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197
Minimum1
Maximum393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-03-18T14:40:42.586854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.6
Q199
median197
Q3295
95-th percentile373.4
Maximum393
Range392
Interquartile range (IQR)196

Descriptive statistics

Standard deviation113.59357
Coefficient of variation (CV)0.57661713
Kurtosis-1.2
Mean197
Median Absolute Deviation (MAD)98
Skewness0
Sum77421
Variance12903.5
MonotonicityStrictly increasing
2024-03-18T14:40:42.727639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
271 1
 
0.3%
269 1
 
0.3%
268 1
 
0.3%
267 1
 
0.3%
266 1
 
0.3%
265 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
Other values (383) 383
97.5%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
393 1
0.3%
392 1
0.3%
391 1
0.3%
390 1
0.3%
389 1
0.3%
388 1
0.3%
387 1
0.3%
386 1
0.3%
385 1
0.3%
384 1
0.3%

업체명
Text

Distinct285
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-18T14:40:42.927503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length7.8854962
Min length3

Characters and Unicode

Total characters3099
Distinct characters258
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique217 ?
Unique (%)55.2%

Sample

1st row(주)가온엘이디
2nd row(주)경건축
3rd row(주)경운티앤아이
4th row(주)공간설계
5th row(주)구산종합건설
ValueCountFrequency (%)
호평중공업(주 7
 
1.8%
주)정호이앤씨 6
 
1.5%
주)포스코에이앤씨건축사사무소 5
 
1.3%
허정산업개발(주 5
 
1.3%
신우엔지니어링(주 5
 
1.3%
오성기업(주 4
 
1.0%
주)국원건설 4
 
1.0%
주)예다토건 4
 
1.0%
주)삼지개발 4
 
1.0%
인송건설(주 4
 
1.0%
Other values (275) 345
87.8%
2024-03-18T14:40:43.270618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 350
 
11.3%
( 296
 
9.6%
) 296
 
9.6%
이 112
 
3.6%
건 108
 
3.5%
설 92
 
3.0%
사 66
 
2.1%
스 60
 
1.9%
회 52
 
1.7%
에 52
 
1.7%
Other values (248) 1615
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2493
80.4%
Open Punctuation 296
 
9.6%
Close Punctuation 296
 
9.6%
Uppercase Letter 5
 
0.2%
Other Symbol 3
 
0.1%
Lowercase Letter 3
 
0.1%
Decimal Number 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 350
 
14.0%
이 112
 
4.5%
건 108
 
4.3%
설 92
 
3.7%
사 66
 
2.6%
스 60
 
2.4%
회 52
 
2.1%
에 52
 
2.1%
식 50
 
2.0%
엔 46
 
1.8%
Other values (234) 1505
60.4%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
K 1
20.0%
G 1
20.0%
N 1
20.0%
E 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
n 1
33.3%
g 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 296
100.0%
Close Punctuation
ValueCountFrequency (%)
) 296
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2496
80.5%
Common 595
 
19.2%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 350
 
14.0%
이 112
 
4.5%
건 108
 
4.3%
설 92
 
3.7%
사 66
 
2.6%
스 60
 
2.4%
회 52
 
2.1%
에 52
 
2.1%
식 50
 
2.0%
엔 46
 
1.8%
Other values (235) 1508
60.4%
Latin
ValueCountFrequency (%)
S 1
12.5%
K 1
12.5%
e 1
12.5%
n 1
12.5%
g 1
12.5%
G 1
12.5%
N 1
12.5%
E 1
12.5%
Common
ValueCountFrequency (%)
( 296
49.7%
) 296
49.7%
- 1
 
0.2%
1 1
 
0.2%
2 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2493
80.4%
ASCII 603
 
19.5%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 350
 
14.0%
이 112
 
4.5%
건 108
 
4.3%
설 92
 
3.7%
사 66
 
2.6%
스 60
 
2.4%
회 52
 
2.1%
에 52
 
2.1%
식 50
 
2.0%
엔 46
 
1.8%
Other values (234) 1505
60.4%
ASCII
ValueCountFrequency (%)
( 296
49.1%
) 296
49.1%
S 1
 
0.2%
- 1
 
0.2%
K 1
 
0.2%
e 1
 
0.2%
n 1
 
0.2%
g 1
 
0.2%
1 1
 
0.2%
2 1
 
0.2%
Other values (3) 3
 
0.5%
None
ValueCountFrequency (%)
㈜ 3
100.0%

업종
Categorical

Distinct14
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
실내건축공사업
56 
기계가스설비공사업
51 
조경식재ㆍ시설물공사업
49 
지반조성ㆍ포장공사업
38 
가스난방공사업
35 
Other values (9)
164 

Length

Max length15
Median length11
Mean length9.8167939
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금속창호ㆍ지붕건축물조립공사업
2nd row실내건축공사업
3rd row실내건축공사업
4th row실내건축공사업
5th row구조물해체ㆍ비계공사업

Common Values

ValueCountFrequency (%)
실내건축공사업 56
14.2%
기계가스설비공사업 51
13.0%
조경식재ㆍ시설물공사업 49
12.5%
지반조성ㆍ포장공사업 38
9.7%
가스난방공사업 35
8.9%
상ㆍ하수도설비공사업 31
7.9%
도장ㆍ습식ㆍ방수ㆍ석공사업 31
7.9%
금속창호ㆍ지붕건축물조립공사업 29
7.4%
철근ㆍ콘크리트공사업 28
7.1%
구조물해체ㆍ비계공사업 17
 
4.3%
Other values (4) 28
7.1%

Length

2024-03-18T14:40:43.397709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내건축공사업 56
14.2%
기계가스설비공사업 51
13.0%
조경식재ㆍ시설물공사업 49
12.5%
지반조성ㆍ포장공사업 38
9.7%
가스난방공사업 35
8.9%
상ㆍ하수도설비공사업 31
7.9%
도장ㆍ습식ㆍ방수ㆍ석공사업 31
7.9%
금속창호ㆍ지붕건축물조립공사업 29
7.4%
철근ㆍ콘크리트공사업 28
7.1%
구조물해체ㆍ비계공사업 17
 
4.3%
Other values (4) 28
7.1%

등록번호
Text

UNIQUE 

Distinct393
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-18T14:40:43.600656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length12.519084
Min length6

Characters and Unicode

Total characters4920
Distinct characters88
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique393 ?
Unique (%)100.0%

Sample

1st row인천연수구­23­다­1
2nd row인천연수구­22­나­11
3rd row인천남동03­1­01
4th row성남11­01­3
5th row인천연수2021­06­03
ValueCountFrequency (%)
인천연수 10
 
2.3%
인천 8
 
1.9%
강남 5
 
1.2%
연수 4
 
0.9%
인천동구 2
 
0.5%
인천연수구­23­다­1 1
 
0.2%
인천부평구2022­02­07 1
 
0.2%
01­13­01 1
 
0.2%
인천연수94­08­01 1
 
0.2%
인천연수구­22­가­1 1
 
0.2%
Other values (397) 397
92.1%
2024-03-18T14:40:44.026365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
­ 857
17.4%
0 801
16.3%
1 567
11.5%
2 542
11.0%
천 295
 
6.0%
인 291
 
5.9%
수 190
 
3.9%
연 190
 
3.9%
9 124
 
2.5%
3 122
 
2.5%
Other values (78) 941
19.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2553
51.9%
Other Letter 1472
29.9%
Format 857
 
17.4%
Space Separator 38
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 295
20.0%
인 291
19.8%
수 190
12.9%
연 190
12.9%
구 89
 
6.0%
남 75
 
5.1%
동 48
 
3.3%
서 20
 
1.4%
강 15
 
1.0%
나 15
 
1.0%
Other values (66) 244
16.6%
Decimal Number
ValueCountFrequency (%)
0 801
31.4%
1 567
22.2%
2 542
21.2%
9 124
 
4.9%
3 122
 
4.8%
4 93
 
3.6%
6 83
 
3.3%
7 79
 
3.1%
5 76
 
3.0%
8 66
 
2.6%
Format
ValueCountFrequency (%)
­ 857
100.0%
Space Separator
ValueCountFrequency (%)
38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3448
70.1%
Hangul 1472
29.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 295
20.0%
인 291
19.8%
수 190
12.9%
연 190
12.9%
구 89
 
6.0%
남 75
 
5.1%
동 48
 
3.3%
서 20
 
1.4%
강 15
 
1.0%
나 15
 
1.0%
Other values (66) 244
16.6%
Common
ValueCountFrequency (%)
­ 857
24.9%
0 801
23.2%
1 567
16.4%
2 542
15.7%
9 124
 
3.6%
3 122
 
3.5%
4 93
 
2.7%
6 83
 
2.4%
7 79
 
2.3%
5 76
 
2.2%
Other values (2) 104
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2591
52.7%
Hangul 1472
29.9%
None 857
 
17.4%

Most frequent character per block

None
ValueCountFrequency (%)
­ 857
100.0%
ASCII
ValueCountFrequency (%)
0 801
30.9%
1 567
21.9%
2 542
20.9%
9 124
 
4.8%
3 122
 
4.7%
4 93
 
3.6%
6 83
 
3.2%
7 79
 
3.0%
5 76
 
2.9%
8 66
 
2.5%
Hangul
ValueCountFrequency (%)
천 295
20.0%
인 291
19.8%
수 190
12.9%
연 190
12.9%
구 89
 
6.0%
남 75
 
5.1%
동 48
 
3.3%
서 20
 
1.4%
강 15
 
1.0%
나 15
 
1.0%
Other values (66) 244
16.6%

등록일자
Date

Distinct332
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum1979-07-25 00:00:00
Maximum2023-05-16 00:00:00
2024-03-18T14:40:44.154414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T14:40:44.271917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

도로명주소
Text

Distinct285
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-18T14:40:44.621239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length48
Mean length35.310433
Min length22

Characters and Unicode

Total characters13877
Distinct characters217
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

Unique217 ?
Unique (%)55.2%

Sample

1st row인천광역시 연수구 센트럴로 313 C동 1010호 (송도동)
2nd row인천광역시 연수구 함박뫼로50번길 15-10 101호 (연수동)
3rd row인천광역시 연수구 송도미래로 30 이동 1903호(송도동, 송도비알씨스마트밸리지식산업센터)
4th row인천광역시 연수구 인천타워대로 323 에이동 1707호 (송도동)
5th row인천광역시 연수구 아트센터대로 87 401동 320호 (송도동)
ValueCountFrequency (%)
인천광역시 393
 
15.1%
연수구 393
 
15.1%
송도동 212
 
8.1%
송도미래로 76
 
2.9%
30 62
 
2.4%
연수동 45
 
1.7%
청학동 36
 
1.4%
옥련동 28
 
1.1%
송도과학로 27
 
1.0%
센트럴로 27
 
1.0%
Other values (533) 1307
50.2%
2024-03-18T14:40:45.160304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2213
 
15.9%
동 599
 
4.3%
1 482
 
3.5%
연 448
 
3.2%
수 448
 
3.2%
) 434
 
3.1%
( 430
 
3.1%
인 429
 
3.1%
천 421
 
3.0%
0 417
 
3.0%
Other values (207) 7556
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8060
58.1%
Decimal Number 2452
 
17.7%
Space Separator 2213
 
15.9%
Close Punctuation 434
 
3.1%
Open Punctuation 430
 
3.1%
Other Punctuation 185
 
1.3%
Dash Punctuation 65
 
0.5%
Uppercase Letter 36
 
0.3%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 599
 
7.4%
연 448
 
5.6%
수 448
 
5.6%
인 429
 
5.3%
천 421
 
5.2%
시 415
 
5.1%
송 413
 
5.1%
도 407
 
5.0%
로 397
 
4.9%
광 396
 
4.9%
Other values (179) 3687
45.7%
Decimal Number
ValueCountFrequency (%)
1 482
19.7%
0 417
17.0%
3 401
16.4%
2 357
14.6%
4 175
 
7.1%
5 147
 
6.0%
8 130
 
5.3%
7 121
 
4.9%
6 116
 
4.7%
9 106
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 13
36.1%
A 6
16.7%
C 5
 
13.9%
D 3
 
8.3%
E 3
 
8.3%
T 2
 
5.6%
R 2
 
5.6%
F 1
 
2.8%
K 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 150
81.1%
， 33
 
17.8%
. 1
 
0.5%
@ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
2213
100.0%
Close Punctuation
ValueCountFrequency (%)
) 434
100.0%
Open Punctuation
ValueCountFrequency (%)
( 430
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8060
58.1%
Common 5779
41.6%
Latin 38
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 599
 
7.4%
연 448
 
5.6%
수 448
 
5.6%
인 429
 
5.3%
천 421
 
5.2%
시 415
 
5.1%
송 413
 
5.1%
도 407
 
5.0%
로 397
 
4.9%
광 396
 
4.9%
Other values (179) 3687
45.7%
Common
ValueCountFrequency (%)
2213
38.3%
1 482
 
8.3%
) 434
 
7.5%
( 430
 
7.4%
0 417
 
7.2%
3 401
 
6.9%
2 357
 
6.2%
4 175
 
3.0%
, 150
 
2.6%
5 147
 
2.5%
Other values (8) 573
 
9.9%
Latin
ValueCountFrequency (%)
B 13
34.2%
A 6
15.8%
C 5
 
13.2%
D 3
 
7.9%
E 3
 
7.9%
T 2
 
5.3%
s 2
 
5.3%
R 2
 
5.3%
F 1
 
2.6%
K 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8060
58.1%
ASCII 5784
41.7%
None 33
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2213
38.3%
1 482
 
8.3%
) 434
 
7.5%
( 430
 
7.4%
0 417
 
7.2%
3 401
 
6.9%
2 357
 
6.2%
4 175
 
3.0%
, 150
 
2.6%
5 147
 
2.5%
Other values (17) 578
 
10.0%
Hangul
ValueCountFrequency (%)
동 599
 
7.4%
연 448
 
5.6%
수 448
 
5.6%
인 429
 
5.3%
천 421
 
5.2%
시 415
 
5.1%
송 413
 
5.1%
도 407
 
5.0%
로 397
 
4.9%
광 396
 
4.9%
Other values (179) 3687
45.7%
None
ValueCountFrequency (%)
， 33
100.0%

Interactions

2024-03-18T14:40:42.134385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:40:45.309545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종
번호1.0000.180
업종0.1801.000
2024-03-18T14:40:45.448574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종
번호1.0000.072
업종0.0721.000

Missing values

2024-03-18T14:40:42.341477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:40:42.454670image/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

번호업체명업종등록번호등록일자도로명주소
01(주)가온엘이디금속창호ㆍ지붕건축물조립공사업인천연수구­23­다­12023.02.20인천광역시 연수구 센트럴로 313 C동 1010호 (송도동)
12(주)경건축실내건축공사업인천연수구­22­나­112022.12.13인천광역시 연수구 함박뫼로50번길 15-10 101호 (연수동)
23(주)경운티앤아이실내건축공사업인천남동03­1­012003.01.14인천광역시 연수구 송도미래로 30 이동 1903호(송도동, 송도비알씨스마트밸리지식산업센터)
34(주)공간설계실내건축공사업성남11­01­32011.08.01인천광역시 연수구 인천타워대로 323 에이동 1707호 (송도동)
45(주)구산종합건설구조물해체ㆍ비계공사업인천연수2021­06­032021.11.01인천광역시 연수구 아트센터대로 87 401동 320호 (송도동)
56(주)구산종합건설상ㆍ하수도설비공사업인천연수구­23­아­32023.05.04인천광역시 연수구 아트센터대로 87 401동 320호 (송도동)
67(주)국원건설철근ㆍ콘크리트공사업시흥00­10­062000.07.28인천광역시 연수구 송도미래로 47 503호 (송도동)
78(주)국원건설구조물해체ㆍ비계공사업인천남동06­07­022006.05.26인천광역시 연수구 송도미래로 47 503호 (송도동)
89(주)국원건설지반조성ㆍ포장공사업시흥00­02­092000.07.28인천광역시 연수구 송도미래로 47 503호 (송도동)
910(주)국원건설상ㆍ하수도설비공사업인천남동03­13­42003.07.11인천광역시 연수구 송도미래로 47 503호 (송도동)
번호업체명업종등록번호등록일자도로명주소
383384호평중공업(주)철강구조물공사업전북21­11994.12.20인천광역시 연수구 아트센터대로 149 , 102동 403호 (송도동)
384385호평중공업(주)구조물해체ㆍ비계공사업인천연수구­22­사­22022.11.30인천광역시 연수구 아트센터대로 149 , 102동 403호 (송도동)
385386호평중공업(주)도장ㆍ습식ㆍ방수ㆍ석공사업전북김제99­05­021999.11.17인천광역시 연수구 아트센터대로 149 , 102동 403호 (송도동)
386387호평중공업(주)지반조성ㆍ포장공사업인천연수구­22­가­52022.11.30인천광역시 연수구 아트센터대로 149 , 102동 403호 (송도동)
387388호평중공업(주)금속창호ㆍ지붕건축물조립공사업전북11­671994.12.20인천광역시 연수구 아트센터대로 149 , 102동 403호 (송도동)
388389홈엔케어가스난방공사업인천연수2019­24­022019.07.31인천광역시 연수구 청룡로42번길 37 1층 (옥련동)
389390홍주이엔씨(주)철근ㆍ콘크리트공사업인천남동13­09­032013.11.04인천광역시 연수구 송도미래로 30 이동 1203호 (송도동, 송도스마트밸리 지식산업센터)
390391홍주이엔씨(주)지반조성ㆍ포장공사업인천남구2017­02­012017.01.23인천광역시 연수구 송도미래로 30 이동 1203호 (송도동, 송도스마트밸리 지식산업센터)
391392효림건설(주)가스난방공사업인천연수2017­27­012017.11.20인천광역시 연수구 인천타워대로 323 B동 1403호 (송도동)
392393희원건설(주)상ㆍ하수도설비공사업인천남구2010­11­22010.04.30인천광역시 연수구 먼우금로 194 8층 827호 (연수동)