Overview

Dataset statistics

Number of variables7
Number of observations34
Missing cells1
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory62.9 B

Variable types

Numeric3
Categorical1
Text3

Dataset

Description인천광역시 미추홀구 관내에 소재한 목욕장업에 대한 데이터로 연번, 업종명, 상호명, 도로명주소, 전화번호, 좌표값 항목을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15061011&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
전화번호 has 1 (2.9%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-05-03 19:46:33.761414
Analysis finished2024-05-03 19:46:44.173782
Duration10.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-03T19:46:44.599024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2024-05-03T19:46:45.142599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
목욕장업
34 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
목욕장업 34
100.0%

Length

2024-05-03T19:46:45.667851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T19:46:45.983824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목욕장업 34
100.0%

상호명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-05-03T19:46:46.345105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.3823529
Min length3

Characters and Unicode

Total characters217
Distinct characters88
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row수봉목욕탕
2nd row보성목욕탕
3rd row일신목욕탕
4th row대왕목욕탕
5th row용수탕
ValueCountFrequency (%)
사우나 2
 
4.8%
수봉목욕탕 1
 
2.4%
힐 1
 
2.4%
주안보석사우나 1
 
2.4%
에이스 1
 
2.4%
스포츠센터(사우나 1
 
2.4%
주안24시 1
 
2.4%
세종황토사우나 1
 
2.4%
보성목욕탕 1
 
2.4%
보석자수정해수탕 1
 
2.4%
Other values (31) 31
73.8%
2024-05-03T19:46:47.243238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
우 15
 
6.9%
사 14
 
6.5%
나 14
 
6.5%
탕 10
 
4.6%
스 9
 
4.1%
8
 
3.7%
목 8
 
3.7%
수 7
 
3.2%
욕 7
 
3.2%
가 5
 
2.3%
Other values (78) 120
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 203
93.5%
Space Separator 8
 
3.7%
Decimal Number 4
 
1.8%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
우 15
 
7.4%
사 14
 
6.9%
나 14
 
6.9%
탕 10
 
4.9%
스 9
 
4.4%
목 8
 
3.9%
수 7
 
3.4%
욕 7
 
3.4%
가 5
 
2.5%
성 5
 
2.5%
Other values (73) 109
53.7%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 203
93.5%
Common 14
 
6.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
우 15
 
7.4%
사 14
 
6.9%
나 14
 
6.9%
탕 10
 
4.9%
스 9
 
4.4%
목 8
 
3.9%
수 7
 
3.4%
욕 7
 
3.4%
가 5
 
2.5%
성 5
 
2.5%
Other values (73) 109
53.7%
Common
ValueCountFrequency (%)
8
57.1%
4 2
 
14.3%
2 2
 
14.3%
( 1
 
7.1%
) 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 203
93.5%
ASCII 14
 
6.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
우 15
 
7.4%
사 14
 
6.9%
나 14
 
6.9%
탕 10
 
4.9%
스 9
 
4.4%
목 8
 
3.9%
수 7
 
3.4%
욕 7
 
3.4%
가 5
 
2.5%
성 5
 
2.5%
Other values (73) 109
53.7%
ASCII
ValueCountFrequency (%)
8
57.1%
4 2
 
14.3%
2 2
 
14.3%
( 1
 
7.1%
) 1
 
7.1%

도로명주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-05-03T19:46:47.776378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length28.470588
Min length23

Characters and Unicode

Total characters968
Distinct characters85
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

Unique34 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 수봉로 49 (숭의동)
2nd row인천광역시 미추홀구 소성로 89 (학익동)
3rd row인천광역시 미추홀구 석정로 294 (도화동)
4th row인천광역시 미추홀구 석정로 129 (숭의동)
5th row인천광역시 미추홀구 경원대로852번길 67 (주안동)
ValueCountFrequency (%)
인천광역시 34
18.6%
미추홀구 34
18.6%
주안동 11
 
6.0%
용현동 8
 
4.4%
석정로 4
 
2.2%
숭의동 3
 
1.6%
도화동 3
 
1.6%
2층 3
 
1.6%
학익동 3
 
1.6%
경인로 3
 
1.6%
Other values (71) 77
42.1%
2024-05-03T19:46:48.849508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
 
15.4%
인 39
 
4.0%
홀 39
 
4.0%
미 38
 
3.9%
추 38
 
3.9%
구 35
 
3.6%
) 35
 
3.6%
동 35
 
3.6%
( 35
 
3.6%
천 34
 
3.5%
Other values (75) 491
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 595
61.5%
Space Separator 149
 
15.4%
Decimal Number 131
 
13.5%
Close Punctuation 35
 
3.6%
Open Punctuation 35
 
3.6%
Other Punctuation 19
 
2.0%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 39
 
6.6%
홀 39
 
6.6%
미 38
 
6.4%
추 38
 
6.4%
구 35
 
5.9%
동 35
 
5.9%
천 34
 
5.7%
광 34
 
5.7%
시 34
 
5.7%
역 34
 
5.7%
Other values (60) 235
39.5%
Decimal Number
ValueCountFrequency (%)
1 22
16.8%
2 21
16.0%
4 16
12.2%
3 14
10.7%
5 13
9.9%
6 12
9.2%
7 10
7.6%
0 8
 
6.1%
8 8
 
6.1%
9 7
 
5.3%
Space Separator
ValueCountFrequency (%)
149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 595
61.5%
Common 373
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 39
 
6.6%
홀 39
 
6.6%
미 38
 
6.4%
추 38
 
6.4%
구 35
 
5.9%
동 35
 
5.9%
천 34
 
5.7%
광 34
 
5.7%
시 34
 
5.7%
역 34
 
5.7%
Other values (60) 235
39.5%
Common
ValueCountFrequency (%)
149
39.9%
) 35
 
9.4%
( 35
 
9.4%
1 22
 
5.9%
2 21
 
5.6%
, 19
 
5.1%
4 16
 
4.3%
3 14
 
3.8%
5 13
 
3.5%
6 12
 
3.2%
Other values (5) 37
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 595
61.5%
ASCII 373
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
149
39.9%
) 35
 
9.4%
( 35
 
9.4%
1 22
 
5.9%
2 21
 
5.6%
, 19
 
5.1%
4 16
 
4.3%
3 14
 
3.8%
5 13
 
3.5%
6 12
 
3.2%
Other values (5) 37
 
9.9%
Hangul
ValueCountFrequency (%)
인 39
 
6.6%
홀 39
 
6.6%
미 38
 
6.4%
추 38
 
6.4%
구 35
 
5.9%
동 35
 
5.9%
천 34
 
5.7%
광 34
 
5.7%
시 34
 
5.7%
역 34
 
5.7%
Other values (60) 235
39.5%

전화번호
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing1
Missing (%)2.9%
Memory size404.0 B
2024-05-03T19:46:49.389482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030303
Min length12

Characters and Unicode

Total characters397
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

Unique33 ?
Unique (%)100.0%

Sample

1st row032-875-5693
2nd row032-868-0036
3rd row032-873-3380
4th row032-766-2091
5th row032-427-2991
ValueCountFrequency (%)
032-875-5693 1
 
3.0%
032-886-4500 1
 
3.0%
032-876-4046 1
 
3.0%
032-437-4114 1
 
3.0%
032-420-0211 1
 
3.0%
032-863-6600 1
 
3.0%
032-424-1383 1
 
3.0%
032-881-8603 1
 
3.0%
032-868-0036 1
 
3.0%
032-424-6960 1
 
3.0%
Other values (23) 23
69.7%
2024-05-03T19:46:50.858147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 66
16.6%
2 57
14.4%
0 54
13.6%
3 51
12.8%
8 40
10.1%
6 32
8.1%
7 27
6.8%
4 26
 
6.5%
9 17
 
4.3%
1 17
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 331
83.4%
Dash Punctuation 66
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 57
17.2%
0 54
16.3%
3 51
15.4%
8 40
12.1%
6 32
9.7%
7 27
8.2%
4 26
7.9%
9 17
 
5.1%
1 17
 
5.1%
5 10
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 66
16.6%
2 57
14.4%
0 54
13.6%
3 51
12.8%
8 40
10.1%
6 32
8.1%
7 27
6.8%
4 26
 
6.5%
9 17
 
4.3%
1 17
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 66
16.6%
2 57
14.4%
0 54
13.6%
3 51
12.8%
8 40
10.1%
6 32
8.1%
7 27
6.8%
4 26
 
6.5%
9 17
 
4.3%
1 17
 
4.3%

위도
Real number (ℝ)

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.455463
Minimum37.436545
Maximum37.468884
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-03T19:46:51.342423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.436545
5-th percentile37.44131
Q137.448845
median37.457446
Q337.460447
95-th percentile37.467914
Maximum37.468884
Range0.032338693
Interquartile range (IQR)0.011601929

Descriptive statistics

Standard deviation0.0085650226
Coefficient of variation (CV)0.00022867218
Kurtosis-0.49932497
Mean37.455463
Median Absolute Deviation (MAD)0.0053801671
Skewness-0.39368883
Sum1273.4858
Variance7.3359612 × 10-5
MonotonicityNot monotonic
2024-05-03T19:46:51.806973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
37.4575297653497 2
 
5.9%
37.4621548329371 1
 
2.9%
37.4627793309702 1
 
2.9%
37.4667625178789 1
 
2.9%
37.4427868858543 1
 
2.9%
37.4605786456294 1
 
2.9%
37.4582970296754 1
 
2.9%
37.4365451636913 1
 
2.9%
37.4497908535771 1
 
2.9%
37.4447842412054 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
37.4365451636913 1
2.9%
37.4385670258303 1
2.9%
37.4427868858543 1
2.9%
37.4447842412054 1
2.9%
37.4451951857554 1
2.9%
37.4457108365881 1
2.9%
37.4457264322571 1
2.9%
37.4477930815117 1
2.9%
37.4485301108653 1
2.9%
37.4497908535771 1
2.9%
ValueCountFrequency (%)
37.4688838570633 1
2.9%
37.4679644958782 1
2.9%
37.4678861057408 1
2.9%
37.4675746588743 1
2.9%
37.4667625178789 1
2.9%
37.4633061567501 1
2.9%
37.4627793309702 1
2.9%
37.4621548329371 1
2.9%
37.4605786456294 1
2.9%
37.4600529655052 1
2.9%

경도
Real number (ℝ)

Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.669
Minimum126.63543
Maximum126.69291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-03T19:46:52.698514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63543
5-th percentile126.63755
Q1126.65534
median126.67338
Q3126.68188
95-th percentile126.69099
Maximum126.69291
Range0.057477838
Interquartile range (IQR)0.026538915

Descriptive statistics

Standard deviation0.017453796
Coefficient of variation (CV)0.00013779059
Kurtosis-0.88508508
Mean126.669
Median Absolute Deviation (MAD)0.014509819
Skewness-0.50491924
Sum4306.7459
Variance0.00030463501
MonotonicityNot monotonic
2024-05-03T19:46:53.295915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
126.68818719699 2
 
5.9%
126.657811182832 1
 
2.9%
126.67195317732 1
 
2.9%
126.683723035077 1
 
2.9%
126.678995247877 1
 
2.9%
126.682251324833 1
 
2.9%
126.674801919512 1
 
2.9%
126.686460617327 1
 
2.9%
126.635428920287 1
 
2.9%
126.670093030904 1
 
2.9%
Other values (23) 23
67.6%
ValueCountFrequency (%)
126.635428920287 1
2.9%
126.635671563633 1
2.9%
126.638562798819 1
2.9%
126.640263539979 1
2.9%
126.648151190326 1
2.9%
126.649673918026 1
2.9%
126.65054947737 1
2.9%
126.654104281875 1
2.9%
126.655089239314 1
2.9%
126.656103085427 1
2.9%
ValueCountFrequency (%)
126.69290675788 1
2.9%
126.691632408275 1
2.9%
126.690648284207 1
2.9%
126.690343071062 1
2.9%
126.68818719699 2
5.9%
126.686460617327 1
2.9%
126.683723035077 1
2.9%
126.682251324833 1
2.9%
126.680772490075 1
2.9%
126.679834074238 1
2.9%

Interactions

2024-05-03T19:46:42.320116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:46:39.593920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:46:41.056381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:46:42.669091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:46:40.016787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:46:41.475734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:46:43.059881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:46:40.501229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-03T19:46:41.951093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-03T19:46:53.762034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명도로명주소전화번호위도경도
연번1.0001.0001.0001.0000.0000.000
상호명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도0.0001.0001.0001.0001.0000.445
경도0.0001.0001.0001.0000.4451.000
2024-05-03T19:46:54.182219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.0430.151
위도0.0431.000-0.074
경도0.151-0.0741.000

Missing values

2024-05-03T19:46:43.536140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-03T19:46:43.966411image/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

연번업종명상호명도로명주소전화번호위도경도
01목욕장업수봉목욕탕인천광역시 미추홀구 수봉로 49 (숭의동)032-875-569337.462155126.657811
12목욕장업보성목욕탕인천광역시 미추홀구 소성로 89 (학익동)032-868-003637.445195126.659168
23목욕장업일신목욕탕인천광역시 미추홀구 석정로 294 (도화동)032-873-338037.467886126.668001
34목욕장업대왕목욕탕인천광역시 미추홀구 석정로 129 (숭의동)032-766-209137.468884126.649674
45목욕장업용수탕인천광역시 미추홀구 경원대로852번길 67 (주안동)032-427-299137.460053126.692907
56목욕장업백조여성사우나인천광역시 미추홀구 독정이로 28-1 (용현동)032-882-826737.458477126.654104
67목욕장업한일목욕탕인천광역시 미추홀구 신기길58번길 26 (주안동)032-862-167237.445726126.6753
78목욕장업삼화목욕탕인천광역시 미추홀구 토금북로 58 (용현동)032-884-799137.452807126.640264
89목욕장업부흥한증막인천광역시 미추홀구 인주대로123번길 20 (용현동)032-891-185737.457361126.650549
910목욕장업관교탕인천광역시 미추홀구 경원대로712번길 6-15 (관교동)032-431-232337.445711126.690648
연번업종명상호명도로명주소전화번호위도경도
2425목욕장업더 힐 스토리인천광역시 미추홀구 매소홀로 618 (문학동, 1동 주경기장)032-424-138337.436545126.686461
2526목욕장업스파시스인천광역시 미추홀구 경인로 263 (도화동,(1,2,3,4층))032-866-454537.462779126.671953
2627목욕장업보석자수정해수탕인천광역시 미추홀구 낙섬서로10번길 31 (용현동)032-881-860337.449791126.635429
2728목욕장업세종황토사우나인천광역시 미추홀구 구월로8번길 16 (주안동)032-424-696037.457067126.691632
2829목욕장업주안24시인천광역시 미추홀구 미추홀대로 736 (주안동, 아이하니 8층1호, 7층9호)032-426-337337.463306126.680772
2930목욕장업에이스 스포츠센터(사우나)인천광역시 미추홀구 경인로 434, 지하3층 (주안동, 제일빌딩)032-422-442037.45753126.688187
3031목욕장업주안보석사우나인천광역시 미추홀구 미추홀대로697번길 22, 지하1층 (주안동, 롯데하이텔)070-8851-392737.45994126.678581
3132목욕장업토로미인천광역시 미추홀구 미추홀대로 677, 2층 (주안동)032-292-727237.4579126.679834
3233목욕장업올가힐링인천광역시 미추홀구 석정로162번길 55-13, 2층 (도화동)032-766-608037.467575126.656103
3334목욕장업혼목쌀롱인천광역시 미추홀구 토금북로 40-1, 2층 (용현동)<NA>37.45371126.638563