Overview

Dataset statistics

Number of variables6
Number of observations1423
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.8 KiB
Average record size in memory48.1 B

Variable types

Text3
Categorical1
DateTime2

Dataset

Description인천광역시 남동구 담배소매인 지정현황에 대한 데이터로 업소명, 민원구분, 업소지번주소, 업소도로명주소, 지정일자, 데이터기준일자 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15035592/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-03-14 18:34:29.593466
Analysis finished2024-03-14 18:34:31.570596
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct1372
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
2024-03-15T03:34:32.541117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length8.2832045
Min length1

Characters and Unicode

Total characters11787
Distinct characters533
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

Unique1336 ?
Unique (%)93.9%

Sample

1st row아울렛뱅크
2nd row씨유 구월인수로점
3rd row서진테크위탁급식소
4th row세븐일레븐 인천남동공단점
5th row규빗프로파일구내식당
ValueCountFrequency (%)
씨유 106
 
5.2%
세븐일레븐 78
 
3.8%
지에스25 63
 
3.1%
이마트24 54
 
2.6%
gs25 41
 
2.0%
위탁급식소 34
 
1.7%
주)코리아세븐 29
 
1.4%
미니스톱 18
 
0.9%
지에스(gs)25 15
 
0.7%
슈퍼 15
 
0.7%
Other values (1417) 1590
77.8%
2024-03-15T03:34:34.139867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
622
 
5.3%
점 567
 
4.8%
트 285
 
2.4%
스 279
 
2.4%
식 276
 
2.3%
마 265
 
2.2%
인 247
 
2.1%
2 237
 
2.0%
소 216
 
1.8%
구 213
 
1.8%
Other values (523) 8580
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10106
85.7%
Space Separator 622
 
5.3%
Decimal Number 502
 
4.3%
Uppercase Letter 257
 
2.2%
Close Punctuation 136
 
1.2%
Open Punctuation 136
 
1.2%
Lowercase Letter 24
 
0.2%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 567
 
5.6%
트 285
 
2.8%
스 279
 
2.8%
식 276
 
2.7%
마 265
 
2.6%
인 247
 
2.4%
소 216
 
2.1%
구 213
 
2.1%
븐 206
 
2.0%
이 187
 
1.9%
Other values (474) 7365
72.9%
Uppercase Letter
ValueCountFrequency (%)
G 88
34.2%
S 88
34.2%
C 12
 
4.7%
E 9
 
3.5%
U 8
 
3.1%
K 7
 
2.7%
R 6
 
2.3%
L 5
 
1.9%
O 4
 
1.6%
T 4
 
1.6%
Other values (10) 26
 
10.1%
Lowercase Letter
ValueCountFrequency (%)
p 5
20.8%
i 3
12.5%
e 2
 
8.3%
u 2
 
8.3%
n 2
 
8.3%
a 2
 
8.3%
l 1
 
4.2%
s 1
 
4.2%
t 1
 
4.2%
o 1
 
4.2%
Other values (4) 4
16.7%
Decimal Number
ValueCountFrequency (%)
2 237
47.2%
5 161
32.1%
4 72
 
14.3%
1 9
 
1.8%
3 8
 
1.6%
6 5
 
1.0%
9 4
 
0.8%
0 3
 
0.6%
7 2
 
0.4%
8 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
. 2
50.0%
Space Separator
ValueCountFrequency (%)
622
100.0%
Close Punctuation
ValueCountFrequency (%)
) 136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10106
85.7%
Common 1400
 
11.9%
Latin 281
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 567
 
5.6%
트 285
 
2.8%
스 279
 
2.8%
식 276
 
2.7%
마 265
 
2.6%
인 247
 
2.4%
소 216
 
2.1%
구 213
 
2.1%
븐 206
 
2.0%
이 187
 
1.9%
Other values (474) 7365
72.9%
Latin
ValueCountFrequency (%)
G 88
31.3%
S 88
31.3%
C 12
 
4.3%
E 9
 
3.2%
U 8
 
2.8%
K 7
 
2.5%
R 6
 
2.1%
p 5
 
1.8%
L 5
 
1.8%
O 4
 
1.4%
Other values (24) 49
17.4%
Common
ValueCountFrequency (%)
622
44.4%
2 237
 
16.9%
5 161
 
11.5%
) 136
 
9.7%
( 136
 
9.7%
4 72
 
5.1%
1 9
 
0.6%
3 8
 
0.6%
6 5
 
0.4%
9 4
 
0.3%
Other values (5) 10
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10106
85.7%
ASCII 1681
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
622
37.0%
2 237
 
14.1%
5 161
 
9.6%
) 136
 
8.1%
( 136
 
8.1%
G 88
 
5.2%
S 88
 
5.2%
4 72
 
4.3%
C 12
 
0.7%
1 9
 
0.5%
Other values (39) 120
 
7.1%
Hangul
ValueCountFrequency (%)
점 567
 
5.6%
트 285
 
2.8%
스 279
 
2.8%
식 276
 
2.7%
마 265
 
2.6%
인 247
 
2.4%
소 216
 
2.1%
구 213
 
2.1%
븐 206
 
2.0%
이 187
 
1.9%
Other values (474) 7365
72.9%

민원구분
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
제7조의3제2항에따른경우
776 
365 
제7조의3제3항에따른경우
282 

Length

Max length13
Median length13
Mean length9.9219958
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제7조의3제2항에따른경우
2nd row제7조의3제2항에따른경우
3rd row제7조의3제3항에따른경우
4th row제7조의3제2항에따른경우
5th row제7조의3제3항에따른경우

Common Values

ValueCountFrequency (%)
제7조의3제2항에따른경우 776
54.5%
365
25.7%
제7조의3제3항에따른경우 282
 
19.8%

Length

2024-03-15T03:34:34.603329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:34:34.942951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제7조의3제2항에따른경우 776
73.3%
제7조의3제3항에따른경우 282
 
26.7%

업소지번주소
Text

Distinct1376
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
2024-03-15T03:34:36.435012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length46
Mean length25.27688
Min length1

Characters and Unicode

Total characters35969
Distinct characters329
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

Unique1364 ?
Unique (%)95.9%

Sample

1st row인천광역시 남동구 간석동 433-9
2nd row인천광역시 남동구 만수동 63-6
3rd row인천광역시 남동구 고잔동 662
4th row인천광역시 남동구 논현동 442-66
5th row인천광역시 남동구 고잔동 698-3
ValueCountFrequency (%)
인천광역시 1386
18.4%
남동구 1386
18.4%
구월동 276
 
3.7%
간석동 257
 
3.4%
고잔동 250
 
3.3%
만수동 222
 
3.0%
논현동 201
 
2.7%
1층 147
 
2.0%
1호 128
 
1.7%
2호 86
 
1.1%
Other values (1810) 3178
42.3%
2024-03-15T03:34:38.141783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6166
17.1%
동 2924
 
8.1%
1 2036
 
5.7%
구 1705
 
4.7%
남 1527
 
4.2%
시 1428
 
4.0%
인 1405
 
3.9%
천 1399
 
3.9%
광 1396
 
3.9%
역 1393
 
3.9%
Other values (319) 14590
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21680
60.3%
Decimal Number 7429
 
20.7%
Space Separator 6166
 
17.1%
Dash Punctuation 340
 
0.9%
Uppercase Letter 183
 
0.5%
Open Punctuation 60
 
0.2%
Close Punctuation 60
 
0.2%
Other Punctuation 41
 
0.1%
Math Symbol 9
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2924
13.5%
구 1705
 
7.9%
남 1527
 
7.0%
시 1428
 
6.6%
인 1405
 
6.5%
천 1399
 
6.5%
광 1396
 
6.4%
역 1393
 
6.4%
호 1088
 
5.0%
지 1057
 
4.9%
Other values (283) 6358
29.3%
Uppercase Letter
ValueCountFrequency (%)
B 72
39.3%
L 60
32.8%
A 9
 
4.9%
C 8
 
4.4%
H 7
 
3.8%
G 5
 
2.7%
S 4
 
2.2%
K 2
 
1.1%
J 2
 
1.1%
V 2
 
1.1%
Other values (8) 12
 
6.6%
Decimal Number
ValueCountFrequency (%)
1 2036
27.4%
2 804
 
10.8%
6 703
 
9.5%
3 676
 
9.1%
0 661
 
8.9%
4 611
 
8.2%
7 546
 
7.3%
5 503
 
6.8%
9 464
 
6.2%
8 425
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 39
95.1%
/ 2
 
4.9%
Space Separator
ValueCountFrequency (%)
6166
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 340
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21680
60.3%
Common 14105
39.2%
Latin 184
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2924
13.5%
구 1705
 
7.9%
남 1527
 
7.0%
시 1428
 
6.6%
인 1405
 
6.5%
천 1399
 
6.5%
광 1396
 
6.4%
역 1393
 
6.4%
호 1088
 
5.0%
지 1057
 
4.9%
Other values (283) 6358
29.3%
Latin
ValueCountFrequency (%)
B 72
39.1%
L 60
32.6%
A 9
 
4.9%
C 8
 
4.3%
H 7
 
3.8%
G 5
 
2.7%
S 4
 
2.2%
K 2
 
1.1%
J 2
 
1.1%
V 2
 
1.1%
Other values (9) 13
 
7.1%
Common
ValueCountFrequency (%)
6166
43.7%
1 2036
 
14.4%
2 804
 
5.7%
6 703
 
5.0%
3 676
 
4.8%
0 661
 
4.7%
4 611
 
4.3%
7 546
 
3.9%
5 503
 
3.6%
9 464
 
3.3%
Other values (7) 935
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21680
60.3%
ASCII 14289
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6166
43.2%
1 2036
 
14.2%
2 804
 
5.6%
6 703
 
4.9%
3 676
 
4.7%
0 661
 
4.6%
4 611
 
4.3%
7 546
 
3.8%
5 503
 
3.5%
9 464
 
3.2%
Other values (26) 1119
 
7.8%
Hangul
ValueCountFrequency (%)
동 2924
13.5%
구 1705
 
7.9%
남 1527
 
7.0%
시 1428
 
6.6%
인 1405
 
6.5%
천 1399
 
6.5%
광 1396
 
6.4%
역 1393
 
6.4%
호 1088
 
5.0%
지 1057
 
4.9%
Other values (283) 6358
29.3%

업소도로명주소
Text

Distinct1348
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
2024-03-15T03:34:39.526904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length52
Mean length31.488405
Min length1

Characters and Unicode

Total characters44808
Distinct characters319
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

Unique1344 ?
Unique (%)94.4%

Sample

1st row인천광역시 남동구 경인로 590. 1층 (간석동)
2nd row인천광역시 남동구 인수북로14번길 4. 1층 (만수동)
3rd row인천광역시 남동구 청능대로 414. 2동 1층 (고잔동)
4th row인천광역시 남동구 남동대로262번길 30-5. 1층 1호 (논현동)
5th row인천광역시 남동구 남동서로 51. B동 1층 (고잔동)
ValueCountFrequency (%)
인천광역시 1350
 
16.1%
남동구 1350
 
16.1%
1층 444
 
5.3%
구월동 253
 
3.0%
간석동 218
 
2.6%
고잔동 212
 
2.5%
만수동 199
 
2.4%
논현동 156
 
1.9%
101호 85
 
1.0%
남촌동 69
 
0.8%
Other values (1665) 4053
48.3%
2024-03-15T03:34:41.516466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7385
 
16.5%
동 3203
 
7.1%
1 2363
 
5.3%
구 1835
 
4.1%
남 1808
 
4.0%
인 1460
 
3.3%
로 1416
 
3.2%
천 1403
 
3.1%
) 1383
 
3.1%
( 1383
 
3.1%
Other values (309) 21169
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24934
55.6%
Decimal Number 7961
 
17.8%
Space Separator 7385
 
16.5%
Close Punctuation 1383
 
3.1%
Open Punctuation 1383
 
3.1%
Other Punctuation 1368
 
3.1%
Uppercase Letter 190
 
0.4%
Dash Punctuation 189
 
0.4%
Math Symbol 14
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 3203
 
12.8%
구 1835
 
7.4%
남 1808
 
7.3%
인 1460
 
5.9%
로 1416
 
5.7%
천 1403
 
5.6%
시 1377
 
5.5%
역 1373
 
5.5%
광 1358
 
5.4%
번 697
 
2.8%
Other values (276) 9004
36.1%
Uppercase Letter
ValueCountFrequency (%)
B 86
45.3%
L 62
32.6%
A 16
 
8.4%
C 8
 
4.2%
H 4
 
2.1%
G 3
 
1.6%
E 2
 
1.1%
O 2
 
1.1%
U 1
 
0.5%
T 1
 
0.5%
Other values (5) 5
 
2.6%
Decimal Number
ValueCountFrequency (%)
1 2363
29.7%
2 888
 
11.2%
0 861
 
10.8%
3 749
 
9.4%
4 617
 
7.8%
5 601
 
7.5%
6 541
 
6.8%
7 509
 
6.4%
8 435
 
5.5%
9 397
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 1366
99.9%
/ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
7385
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1383
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 189
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24934
55.6%
Common 19683
43.9%
Latin 191
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 3203
 
12.8%
구 1835
 
7.4%
남 1808
 
7.3%
인 1460
 
5.9%
로 1416
 
5.7%
천 1403
 
5.6%
시 1377
 
5.5%
역 1373
 
5.5%
광 1358
 
5.4%
번 697
 
2.8%
Other values (276) 9004
36.1%
Common
ValueCountFrequency (%)
7385
37.5%
1 2363
 
12.0%
) 1383
 
7.0%
( 1383
 
7.0%
. 1366
 
6.9%
2 888
 
4.5%
0 861
 
4.4%
3 749
 
3.8%
4 617
 
3.1%
5 601
 
3.1%
Other values (7) 2087
 
10.6%
Latin
ValueCountFrequency (%)
B 86
45.0%
L 62
32.5%
A 16
 
8.4%
C 8
 
4.2%
H 4
 
2.1%
G 3
 
1.6%
E 2
 
1.0%
O 2
 
1.0%
U 1
 
0.5%
T 1
 
0.5%
Other values (6) 6
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24934
55.6%
ASCII 19874
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7385
37.2%
1 2363
 
11.9%
) 1383
 
7.0%
( 1383
 
7.0%
. 1366
 
6.9%
2 888
 
4.5%
0 861
 
4.3%
3 749
 
3.8%
4 617
 
3.1%
5 601
 
3.0%
Other values (23) 2278
 
11.5%
Hangul
ValueCountFrequency (%)
동 3203
 
12.8%
구 1835
 
7.4%
남 1808
 
7.3%
인 1460
 
5.9%
로 1416
 
5.7%
천 1403
 
5.6%
시 1377
 
5.5%
역 1373
 
5.5%
광 1358
 
5.4%
번 697
 
2.8%
Other values (276) 9004
36.1%

지정일자
Date

Distinct1094
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
Minimum1989-03-24 00:00:00
Maximum2023-01-27 00:00:00
2024-03-15T03:34:41.872988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:34:42.313776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.2 KiB
Minimum2024-01-25 00:00:00
Maximum2024-01-25 00:00:00
2024-03-15T03:34:42.668525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:34:42.985903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-03-15T03:34:30.989619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:34:31.426503image/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

업소명민원구분업소지번주소업소도로명주소지정일자데이터기준일자
0아울렛뱅크제7조의3제2항에따른경우인천광역시 남동구 간석동 433-9인천광역시 남동구 경인로 590. 1층 (간석동)2023-01-272024-01-25
1씨유 구월인수로점제7조의3제2항에따른경우인천광역시 남동구 만수동 63-6인천광역시 남동구 인수북로14번길 4. 1층 (만수동)2023-01-192024-01-25
2서진테크위탁급식소제7조의3제3항에따른경우인천광역시 남동구 고잔동 662인천광역시 남동구 청능대로 414. 2동 1층 (고잔동)2023-01-132024-01-25
3세븐일레븐 인천남동공단점제7조의3제2항에따른경우인천광역시 남동구 논현동 442-66인천광역시 남동구 남동대로262번길 30-5. 1층 1호 (논현동)2023-01-042024-01-25
4규빗프로파일구내식당제7조의3제3항에따른경우인천광역시 남동구 고잔동 698-3인천광역시 남동구 남동서로 51. B동 1층 (고잔동)2022-12-272024-01-25
5내쇼날화스너위탁급식소제7조의3제3항에따른경우인천광역시 남동구 고잔동 659-16 주식회사극동화스너인천광역시 남동구 앵고개로621번길 53. 주식회사극동화스너 (고잔동)2022-12-222024-01-25
6이가네도시락제7조의3제2항에따른경우인천광역시 남동구 구월동 1151-3 라일 실크빌인천광역시 남동구 남동대로733번길 24. 101호 (구월동. 라일 실크빌)2022-12-162024-01-25
7(주)예스킨구내식당제7조의3제3항에따른경우인천광역시 남동구 고잔동 682-16인천광역시 남동구 앵고개로 379. B동 1층 (고잔동)2022-12-072024-01-25
8(주)한신위탁급식소(영일)제7조의3제3항에따른경우인천광역시 남동구 고잔동 705-3인천광역시 남동구 능허대로595번길 15 (고잔동)2022-12-052024-01-25
9지에스(GS)25 논현프라자제7조의3제2항에따른경우인천광역시 남동구 논현동 616-1 논현프라자인천광역시 남동구 논고개로 120. 논현프라자 104호 (논현동)2022-12-022024-01-25
업소명민원구분업소지번주소업소도로명주소지정일자데이터기준일자
1413송백관인천광역시 남동구 구월동 1371번지 15호인천광역시 남동구 문화로89번길 11 (구월동)1990-03-292024-01-25
1414미라보악세사리인천광역시 남동구 간석동 241번지 4호인천광역시 남동구 예술로346번길 76 (간석동)1990-01-192024-01-25
1415간석낚시등산인천광역시 남동구 간석동 22번지 18호인천광역시 남동구 백범로 303 (간석동)1990-01-152024-01-25
1416새로나문구인천광역시 남동구 만수동 871번지 1호인천광역시 남동구 만수로5번길 16-7 (만수동)1990-01-152024-01-25
1417대복상회인천광역시 남동구 논현동 111번지 65호인천광역시 남동구 포구로 2-56 (논현동)1990-09-082024-01-25
1418(주)주안도금엔지니어링인천광역시 남동구 논현동 434번지 10호인천광역시 남동구 남동대로 284 (논현동)1990-12-032024-01-25
1419신우회구내매점인천광역시 남동구 남촌동 617호 5통 1반인천광역시 남동구 남동서로 380 (남촌동)1990-07-032024-01-25
1420그린슈퍼인천광역시 남동구 만수동 111번지 334호인천광역시 남동구 백범로206번길 44 (만수동)1989-11-072024-01-25
1421고란마트인천광역시 남동구 만수동 894번지 8호인천광역시 남동구 구월말로100번길 13-42 (만수동)1989-08-232024-01-25
1422인천시청인천광역시 남동구 구월동 10호인천광역시 남동구 정각로 29 (구월동. 인천시청사 지하)1989-03-242024-01-25