Overview

Dataset statistics

Number of variables6
Number of observations191
Missing cells10
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory51.7 B

Variable types

Numeric3
Text3

Dataset

Description인천광역시 미추홀구 관내에 소재한 공중위생업소에 대한 데이터로 관내 공중위생업소에 관한 연번, 상호명, 도로명주소, 전화번호, 좌표값을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15006922&srcSe=7661IVAWM27C61E190

Alerts

전화번호 has 10 (5.2%) missing valuesMissing
연번 has unique valuesUnique
도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-01-28 14:52:03.576894
Analysis finished2024-01-28 14:52:04.725628
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct191
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96
Minimum1
Maximum191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-28T23:52:04.797531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.5
Q148.5
median96
Q3143.5
95-th percentile181.5
Maximum191
Range190
Interquartile range (IQR)95

Descriptive statistics

Standard deviation55.2811
Coefficient of variation (CV)0.57584479
Kurtosis-1.2
Mean96
Median Absolute Deviation (MAD)48
Skewness0
Sum18336
Variance3056
MonotonicityStrictly increasing
2024-01-28T23:52:04.913501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
Other values (181) 181
94.8%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%

상호명
Text

Distinct184
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-28T23:52:05.130694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length5.7486911
Min length1

Characters and Unicode

Total characters1098
Distinct characters241
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

Unique178 ?
Unique (%)93.2%

Sample

1st row호수여인숙
2nd row복성여인숙
3rd row서울여인숙
4th row용님여인숙
5th row수정여관
ValueCountFrequency (%)
호텔 15
 
6.4%
모텔 4
 
1.7%
테마모텔 3
 
1.3%
썬플라워 2
 
0.9%
인천 2
 
0.9%
호텔나무 2
 
0.9%
hotel 2
 
0.9%
수정여관 2
 
0.9%
에덴파크여관 2
 
0.9%
이화장여관 2
 
0.9%
Other values (198) 199
84.7%
2024-01-28T23:52:05.466661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 107
 
9.7%
모 57
 
5.2%
여 50
 
4.6%
호 49
 
4.5%
44
 
4.0%
관 36
 
3.3%
스 30
 
2.7%
장 27
 
2.5%
이 24
 
2.2%
인 20
 
1.8%
Other values (231) 654
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 885
80.6%
Uppercase Letter 56
 
5.1%
Lowercase Letter 50
 
4.6%
Space Separator 44
 
4.0%
Close Punctuation 20
 
1.8%
Open Punctuation 20
 
1.8%
Decimal Number 14
 
1.3%
Other Punctuation 7
 
0.6%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 107
 
12.1%
모 57
 
6.4%
여 50
 
5.6%
호 49
 
5.5%
관 36
 
4.1%
스 30
 
3.4%
장 27
 
3.1%
이 24
 
2.7%
인 20
 
2.3%
리 16
 
1.8%
Other values (183) 469
53.0%
Uppercase Letter
ValueCountFrequency (%)
H 10
17.9%
O 6
10.7%
E 5
8.9%
S 5
8.9%
N 3
 
5.4%
D 3
 
5.4%
F 3
 
5.4%
L 3
 
5.4%
A 3
 
5.4%
T 3
 
5.4%
Other values (10) 12
21.4%
Lowercase Letter
ValueCountFrequency (%)
e 9
18.0%
l 9
18.0%
t 8
16.0%
o 6
12.0%
a 5
10.0%
r 3
 
6.0%
y 2
 
4.0%
u 2
 
4.0%
d 1
 
2.0%
w 1
 
2.0%
Other values (4) 4
8.0%
Decimal Number
ValueCountFrequency (%)
4 2
14.3%
2 2
14.3%
5 2
14.3%
1 2
14.3%
3 2
14.3%
6 2
14.3%
9 1
7.1%
7 1
7.1%
Other Punctuation
ValueCountFrequency (%)
. 6
85.7%
& 1
 
14.3%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 885
80.6%
Common 107
 
9.7%
Latin 106
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 107
 
12.1%
모 57
 
6.4%
여 50
 
5.6%
호 49
 
5.5%
관 36
 
4.1%
스 30
 
3.4%
장 27
 
3.1%
이 24
 
2.7%
인 20
 
2.3%
리 16
 
1.8%
Other values (183) 469
53.0%
Latin
ValueCountFrequency (%)
H 10
 
9.4%
e 9
 
8.5%
l 9
 
8.5%
t 8
 
7.5%
O 6
 
5.7%
o 6
 
5.7%
E 5
 
4.7%
S 5
 
4.7%
a 5
 
4.7%
N 3
 
2.8%
Other values (24) 40
37.7%
Common
ValueCountFrequency (%)
44
41.1%
) 20
18.7%
( 20
18.7%
. 6
 
5.6%
4 2
 
1.9%
2 2
 
1.9%
5 2
 
1.9%
- 2
 
1.9%
1 2
 
1.9%
3 2
 
1.9%
Other values (4) 5
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 885
80.6%
ASCII 213
 
19.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 107
 
12.1%
모 57
 
6.4%
여 50
 
5.6%
호 49
 
5.5%
관 36
 
4.1%
스 30
 
3.4%
장 27
 
3.1%
이 24
 
2.7%
인 20
 
2.3%
리 16
 
1.8%
Other values (183) 469
53.0%
ASCII
ValueCountFrequency (%)
44
20.7%
) 20
 
9.4%
( 20
 
9.4%
H 10
 
4.7%
e 9
 
4.2%
l 9
 
4.2%
t 8
 
3.8%
. 6
 
2.8%
O 6
 
2.8%
o 6
 
2.8%
Other values (38) 75
35.2%

도로명주소
Text

UNIQUE 

Distinct191
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-28T23:52:05.671845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length27.408377
Min length23

Characters and Unicode

Total characters5235
Distinct characters73
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique191 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 장천로42번길 27 (숭의동)
2nd row인천광역시 미추홀구 인주대로 93-55 (용현동)
3rd row인천광역시 미추홀구 한나루로586번길 99 (주안동)
4th row인천광역시 미추홀구 경인로 338 (주안동)
5th row인천광역시 미추홀구 한나루로 502 (주안동)
ValueCountFrequency (%)
인천광역시 191
20.0%
미추홀구 191
20.0%
주안동 118
 
12.4%
용현동 34
 
3.6%
숭의동 20
 
2.1%
석바위로 12
 
1.3%
미추홀대로722번길 11
 
1.2%
도화동 11
 
1.2%
주안중로 9
 
0.9%
경인로 8
 
0.8%
Other values (201) 348
36.5%
2024-01-28T23:52:05.979063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
762
 
14.6%
인 231
 
4.4%
미 216
 
4.1%
추 216
 
4.1%
홀 213
 
4.1%
동 199
 
3.8%
천 192
 
3.7%
( 191
 
3.6%
광 191
 
3.6%
역 191
 
3.6%
Other values (63) 2633
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3256
62.2%
Decimal Number 768
 
14.7%
Space Separator 762
 
14.6%
Open Punctuation 191
 
3.6%
Close Punctuation 191
 
3.6%
Dash Punctuation 55
 
1.1%
Other Punctuation 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 231
 
7.1%
미 216
 
6.6%
추 216
 
6.6%
홀 213
 
6.5%
동 199
 
6.1%
천 192
 
5.9%
광 191
 
5.9%
역 191
 
5.9%
시 191
 
5.9%
구 191
 
5.9%
Other values (48) 1225
37.6%
Decimal Number
ValueCountFrequency (%)
1 168
21.9%
3 118
15.4%
2 94
12.2%
4 93
12.1%
5 76
9.9%
7 59
 
7.7%
8 49
 
6.4%
6 44
 
5.7%
9 39
 
5.1%
0 28
 
3.6%
Space Separator
ValueCountFrequency (%)
762
100.0%
Open Punctuation
ValueCountFrequency (%)
( 191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3256
62.2%
Common 1979
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 231
 
7.1%
미 216
 
6.6%
추 216
 
6.6%
홀 213
 
6.5%
동 199
 
6.1%
천 192
 
5.9%
광 191
 
5.9%
역 191
 
5.9%
시 191
 
5.9%
구 191
 
5.9%
Other values (48) 1225
37.6%
Common
ValueCountFrequency (%)
762
38.5%
( 191
 
9.7%
) 191
 
9.7%
1 168
 
8.5%
3 118
 
6.0%
2 94
 
4.7%
4 93
 
4.7%
5 76
 
3.8%
7 59
 
3.0%
- 55
 
2.8%
Other values (5) 172
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3256
62.2%
ASCII 1979
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
762
38.5%
( 191
 
9.7%
) 191
 
9.7%
1 168
 
8.5%
3 118
 
6.0%
2 94
 
4.7%
4 93
 
4.7%
5 76
 
3.8%
7 59
 
3.0%
- 55
 
2.8%
Other values (5) 172
 
8.7%
Hangul
ValueCountFrequency (%)
인 231
 
7.1%
미 216
 
6.6%
추 216
 
6.6%
홀 213
 
6.5%
동 199
 
6.1%
천 192
 
5.9%
광 191
 
5.9%
역 191
 
5.9%
시 191
 
5.9%
구 191
 
5.9%
Other values (48) 1225
37.6%

전화번호
Text

MISSING 

Distinct180
Distinct (%)99.4%
Missing10
Missing (%)5.2%
Memory size1.6 KiB
2024-01-28T23:52:06.188888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.005525
Min length12

Characters and Unicode

Total characters2173
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

Unique179 ?
Unique (%)98.9%

Sample

1st row032-888-6159
2nd row032-887-7685
3rd row032-868-2211
4th row032-865-2653
5th row032-424-7510
ValueCountFrequency (%)
032-884-1733 2
 
1.1%
032-433-1306 1
 
0.6%
032-884-1566 1
 
0.6%
032-888-6159 1
 
0.6%
032-888-3239 1
 
0.6%
032-433-8023 1
 
0.6%
032-426-3464 1
 
0.6%
032-872-9515 1
 
0.6%
032-884-2828 1
 
0.6%
032-873-5123 1
 
0.6%
Other values (170) 170
93.9%
2024-01-28T23:52:06.519220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 362
16.7%
3 321
14.8%
2 316
14.5%
0 271
12.5%
8 240
11.0%
4 162
7.5%
6 135
 
6.2%
7 110
 
5.1%
5 95
 
4.4%
1 94
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1811
83.3%
Dash Punctuation 362
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 321
17.7%
2 316
17.4%
0 271
15.0%
8 240
13.3%
4 162
8.9%
6 135
7.5%
7 110
 
6.1%
5 95
 
5.2%
1 94
 
5.2%
9 67
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 362
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2173
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 362
16.7%
3 321
14.8%
2 316
14.5%
0 271
12.5%
8 240
11.0%
4 162
7.5%
6 135
 
6.2%
7 110
 
5.1%
5 95
 
4.4%
1 94
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2173
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 362
16.7%
3 321
14.8%
2 316
14.5%
0 271
12.5%
8 240
11.0%
4 162
7.5%
6 135
 
6.2%
7 110
 
5.1%
5 95
 
4.4%
1 94
 
4.3%

위도
Real number (ℝ)

UNIQUE 

Distinct191
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.460262
Minimum37.448331
Maximum37.475346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-28T23:52:06.647074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.448331
5-th percentile37.454845
Q137.458371
median37.459682
Q337.462608
95-th percentile37.465816
Maximum37.475346
Range0.02701571
Interquartile range (IQR)0.004236915

Descriptive statistics

Standard deviation0.0035573388
Coefficient of variation (CV)9.4962997 × 10-5
Kurtosis1.5319945
Mean37.460262
Median Absolute Deviation (MAD)0.00199294
Skewness0.2156631
Sum7154.9101
Variance1.2654659 × 10-5
MonotonicityNot monotonic
2024-01-28T23:52:06.766408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.45908773 1
 
0.5%
37.45775993 1
 
0.5%
37.45952199 1
 
0.5%
37.46593798 1
 
0.5%
37.45683232 1
 
0.5%
37.4584955 1
 
0.5%
37.46068157 1
 
0.5%
37.45865118 1
 
0.5%
37.4604472 1
 
0.5%
37.4625266 1
 
0.5%
Other values (181) 181
94.8%
ValueCountFrequency (%)
37.44833077 1
0.5%
37.45172096 1
0.5%
37.4519643 1
0.5%
37.45205793 1
0.5%
37.45296136 1
0.5%
37.45333751 1
0.5%
37.4542916 1
0.5%
37.45457372 1
0.5%
37.45475481 1
0.5%
37.4547898 1
0.5%
ValueCountFrequency (%)
37.47534648 1
0.5%
37.46897953 1
0.5%
37.46779413 1
0.5%
37.46736354 1
0.5%
37.46731433 1
0.5%
37.46685498 1
0.5%
37.46622837 1
0.5%
37.46593798 1
0.5%
37.46592298 1
0.5%
37.465878 1
0.5%

경도
Real number (ℝ)

UNIQUE 

Distinct191
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.67018
Minimum126.63268
Maximum126.69272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-28T23:52:07.221246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63268
5-th percentile126.63512
Q1126.65106
median126.67856
Q3126.68317
95-th percentile126.6884
Maximum126.69272
Range0.0600451
Interquartile range (IQR)0.03211755

Descriptive statistics

Standard deviation0.018316558
Coefficient of variation (CV)0.0001446004
Kurtosis-0.83717541
Mean126.67018
Median Absolute Deviation (MAD)0.0069483
Skewness-0.84615154
Sum24194.004
Variance0.00033549631
MonotonicityNot monotonic
2024-01-28T23:52:07.343359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6495476 1
 
0.5%
126.6478229 1
 
0.5%
126.6824705 1
 
0.5%
126.6583079 1
 
0.5%
126.6506394 1
 
0.5%
126.6723817 1
 
0.5%
126.6744498 1
 
0.5%
126.6398051 1
 
0.5%
126.6788211 1
 
0.5%
126.6395993 1
 
0.5%
Other values (181) 181
94.8%
ValueCountFrequency (%)
126.6326787 1
0.5%
126.6328774 1
0.5%
126.633604 1
0.5%
126.633656 1
0.5%
126.6344994 1
0.5%
126.6345587 1
0.5%
126.6347473 1
0.5%
126.6348303 1
0.5%
126.6349037 1
0.5%
126.6350329 1
0.5%
ValueCountFrequency (%)
126.6927238 1
0.5%
126.6903095 1
0.5%
126.6901583 1
0.5%
126.6895982 1
0.5%
126.6893588 1
0.5%
126.6888287 1
0.5%
126.6888127 1
0.5%
126.6887881 1
0.5%
126.6887817 1
0.5%
126.6884117 1
0.5%

Interactions

2024-01-28T23:52:04.326945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:52:03.840439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:52:04.091729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:52:04.415822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:52:03.940444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:52:04.167274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:52:04.499530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:52:04.013421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T23:52:04.240340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T23:52:07.423195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.3260.488
위도0.3261.0000.690
경도0.4880.6901.000
2024-01-28T23:52:07.496821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.0080.217
위도-0.0081.0000.140
경도0.2170.1401.000

Missing values

2024-01-28T23:52:04.597846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T23:52:04.684735image/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

연번상호명도로명주소전화번호위도경도
01호수여인숙인천광역시 미추홀구 장천로42번길 27 (숭의동)032-888-615937.459088126.649548
12복성여인숙인천광역시 미추홀구 인주대로 93-55 (용현동)032-887-768537.45776126.647823
23서울여인숙인천광역시 미추홀구 한나루로586번길 99 (주안동)032-868-221137.457917126.677531
34용님여인숙인천광역시 미추홀구 경인로 338 (주안동)<NA>37.458178126.677503
45수정여관인천광역시 미추홀구 한나루로 502 (주안동)032-865-265337.451721126.667687
56수정여인숙인천광역시 미추홀구 주안서로54번길 23 (주안동)032-424-751037.463726126.679304
67수림여인숙인천광역시 미추홀구 길파로35번길 5 (주안동)032-873-899837.46898126.679406
78영동모텔인천광역시 미추홀구 석정로 371 (주안동)<NA>37.467364126.67675
89주안여관인천광역시 미추홀구 경인로 334-13 (주안동)032-873-039437.458229126.677183
910대지모텔인천광역시 미추홀구 미추로 45 (숭의동)032-889-585837.463933126.646112
연번상호명도로명주소전화번호위도경도
181182마네모네인천광역시 미추홀구 주안중로16번길 8 (주안동)032-442-112137.459758126.683105
182183편리한생활숙박룸인천광역시 미추홀구 연송로 124 (도화동)032-766-499337.475346126.658281
183184파스텔인천광역시 미추홀구 주안서로 58 (주안동)032-863-652937.463785126.678079
184185힐리빙하우스인천광역시 미추홀구 주안서로 50 (주안동)032-863-232737.463223126.678064
185186코리아빌인천광역시 미추홀구 경원대로851번길 51 (주안동)032-431-553437.458773126.686372
186187렉스인천광역시 미추홀구 경인로 333-26 (주안동)032-864-077737.459398126.677131
187188우리레지던스인천광역시 미추홀구 인중로26번길 6-16 (숭의동)032-889-196237.463404126.640591
188189청춘호텔인천광역시 미추홀구 주안동로12번길 31 (주안동)032-321-513337.459419126.68728
189190오루체인천광역시 미추홀구 경원대로851번길 40(주안동)<NA>37.459118126.687113
190191아이클래스 레지던스인천광역시 미추홀구 아암대로 15(용현동)<NA>37.459356126.637908