Overview

Dataset statistics

Number of variables7
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory61.0 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description남동구 관내 목욕장업현황에 대한 데이터로 업종, 상호, 영업소소재지, 소재지연락처, 데이터기준일자를 제공합니다.
URLhttps://www.data.go.kr/data/15038943/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업소명 has unique valuesUnique
업소소재지(도로명) has unique valuesUnique
업소소재지(지번) has unique valuesUnique
소재지전화 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:23:12.249732
Analysis finished2023-12-12 20:23:13.030488
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T05:23:13.449061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2023-12-13T05:23:13.583150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
목욕장업
33 

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 33
100.0%

Length

2023-12-13T05:23:13.755411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:23:13.865876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목욕장업 33
100.0%

업소명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T05:23:14.084700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length6.9090909
Min length3

Characters and Unicode

Total characters228
Distinct characters97
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
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 row경인목욕탕
2nd row광명목욕탕
3rd row삼양탕
4th row88사우나
5th row신원목욕탕
ValueCountFrequency (%)
경인목욕탕 1
 
2.7%
간석탄산천사우나 1
 
2.7%
성강해수사우나 1
 
2.7%
아이플렉스한증막사우나 1
 
2.7%
소래해수사우나 1
 
2.7%
24시선수촌 1
 
2.7%
숯가마사우나 1
 
2.7%
엠스퀘어플래닛 1
 
2.7%
학성스포렉스 1
 
2.7%
누리자스파 1
 
2.7%
Other values (27) 27
73.0%
2023-12-13T05:23:14.477498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 13
 
5.7%
나 13
 
5.7%
우 13
 
5.7%
탕 11
 
4.8%
목 9
 
3.9%
욕 9
 
3.9%
스 7
 
3.1%
수 6
 
2.6%
해 5
 
2.2%
성 4
 
1.8%
Other values (87) 138
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 216
94.7%
Decimal Number 8
 
3.5%
Space Separator 4
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 13
 
6.0%
나 13
 
6.0%
우 13
 
6.0%
탕 11
 
5.1%
목 9
 
4.2%
욕 9
 
4.2%
스 7
 
3.2%
수 6
 
2.8%
해 5
 
2.3%
성 4
 
1.9%
Other values (83) 126
58.3%
Decimal Number
ValueCountFrequency (%)
4 3
37.5%
2 3
37.5%
8 2
25.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 216
94.7%
Common 12
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 13
 
6.0%
나 13
 
6.0%
우 13
 
6.0%
탕 11
 
5.1%
목 9
 
4.2%
욕 9
 
4.2%
스 7
 
3.2%
수 6
 
2.8%
해 5
 
2.3%
성 4
 
1.9%
Other values (83) 126
58.3%
Common
ValueCountFrequency (%)
4
33.3%
4 3
25.0%
2 3
25.0%
8 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 216
94.7%
ASCII 12
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 13
 
6.0%
나 13
 
6.0%
우 13
 
6.0%
탕 11
 
5.1%
목 9
 
4.2%
욕 9
 
4.2%
스 7
 
3.2%
수 6
 
2.8%
해 5
 
2.3%
성 4
 
1.9%
Other values (83) 126
58.3%
ASCII
ValueCountFrequency (%)
4
33.3%
4 3
25.0%
2 3
25.0%
8 2
16.7%

업소소재지(도로명)
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T05:23:14.752320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length33.333333
Min length22

Characters and Unicode

Total characters1100
Distinct characters112
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

Unique33 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 경인로 601 (간석동)
2nd row인천광역시 남동구 호구포로889번길 16, 1,2층 (간석동)
3rd row인천광역시 남동구 만수로50번길 27 (만수동,주공아파트 상가내)
4th row인천광역시 남동구 경인로644번길 82, 2층 (간석동)
5th row인천광역시 남동구 문화서로17번길 8 (구월동)
ValueCountFrequency (%)
인천광역시 33
 
16.6%
남동구 33
 
16.6%
간석동 8
 
4.0%
구월동 6
 
3.0%
2층 5
 
2.5%
만수동 5
 
2.5%
고잔동 3
 
1.5%
18 2
 
1.0%
24 2
 
1.0%
남촌동 2
 
1.0%
Other values (95) 100
50.3%
2023-12-13T05:23:15.089402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
166
 
15.1%
동 75
 
6.8%
구 44
 
4.0%
남 43
 
3.9%
1 37
 
3.4%
인 35
 
3.2%
로 34
 
3.1%
) 34
 
3.1%
( 34
 
3.1%
천 34
 
3.1%
Other values (102) 564
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 646
58.7%
Decimal Number 176
 
16.0%
Space Separator 166
 
15.1%
Close Punctuation 34
 
3.1%
Open Punctuation 34
 
3.1%
Other Punctuation 31
 
2.8%
Dash Punctuation 5
 
0.5%
Math Symbol 4
 
0.4%
Uppercase Letter 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 75
 
11.6%
구 44
 
6.8%
남 43
 
6.7%
인 35
 
5.4%
로 34
 
5.3%
천 34
 
5.3%
시 33
 
5.1%
역 33
 
5.1%
광 33
 
5.1%
층 20
 
3.1%
Other values (83) 262
40.6%
Decimal Number
ValueCountFrequency (%)
1 37
21.0%
2 28
15.9%
6 19
10.8%
3 17
9.7%
8 16
9.1%
0 15
8.5%
5 14
 
8.0%
4 13
 
7.4%
7 9
 
5.1%
9 8
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 30
96.8%
/ 1
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
A 2
50.0%
Space Separator
ValueCountFrequency (%)
166
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 646
58.7%
Common 450
40.9%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 75
 
11.6%
구 44
 
6.8%
남 43
 
6.7%
인 35
 
5.4%
로 34
 
5.3%
천 34
 
5.3%
시 33
 
5.1%
역 33
 
5.1%
광 33
 
5.1%
층 20
 
3.1%
Other values (83) 262
40.6%
Common
ValueCountFrequency (%)
166
36.9%
1 37
 
8.2%
) 34
 
7.6%
( 34
 
7.6%
, 30
 
6.7%
2 28
 
6.2%
6 19
 
4.2%
3 17
 
3.8%
8 16
 
3.6%
0 15
 
3.3%
Other values (7) 54
 
12.0%
Latin
ValueCountFrequency (%)
B 2
50.0%
A 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 646
58.7%
ASCII 454
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
166
36.6%
1 37
 
8.1%
) 34
 
7.5%
( 34
 
7.5%
, 30
 
6.6%
2 28
 
6.2%
6 19
 
4.2%
3 17
 
3.7%
8 16
 
3.5%
0 15
 
3.3%
Other values (9) 58
 
12.8%
Hangul
ValueCountFrequency (%)
동 75
 
11.6%
구 44
 
6.8%
남 43
 
6.7%
인 35
 
5.4%
로 34
 
5.3%
천 34
 
5.3%
시 33
 
5.1%
역 33
 
5.1%
광 33
 
5.1%
층 20
 
3.1%
Other values (83) 262
40.6%

업소소재지(지번)
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T05:23:15.322864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length32
Mean length26.30303
Min length17

Characters and Unicode

Total characters868
Distinct characters94
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

Unique33 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 간석동 250-6
2nd row인천광역시 남동구 간석동 916-12 1층,2층
3rd row인천광역시 남동구 만수동 24 주공아파트 상가내
4th row인천광역시 남동구 간석동 117-13 2층
5th row인천광역시 남동구 구월동 1380-4
ValueCountFrequency (%)
인천광역시 33
19.8%
남동구 33
19.8%
간석동 9
 
5.4%
만수동 8
 
4.8%
구월동 7
 
4.2%
고잔동 4
 
2.4%
논현동 2
 
1.2%
남촌동 2
 
1.2%
4~5층 2
 
1.2%
2층 2
 
1.2%
Other values (65) 65
38.9%
2023-12-13T05:23:15.651517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
19.0%
동 70
 
8.1%
1 44
 
5.1%
구 40
 
4.6%
남 37
 
4.3%
인 33
 
3.8%
광 33
 
3.8%
역 33
 
3.8%
시 33
 
3.8%
천 33
 
3.8%
Other values (84) 347
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 478
55.1%
Decimal Number 181
 
20.9%
Space Separator 165
 
19.0%
Dash Punctuation 27
 
3.1%
Other Punctuation 7
 
0.8%
Math Symbol 3
 
0.3%
Uppercase Letter 3
 
0.3%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 70
14.6%
구 40
 
8.4%
남 37
 
7.7%
인 33
 
6.9%
광 33
 
6.9%
역 33
 
6.9%
시 33
 
6.9%
천 33
 
6.9%
층 13
 
2.7%
석 9
 
1.9%
Other values (65) 144
30.1%
Decimal Number
ValueCountFrequency (%)
1 44
24.3%
2 30
16.6%
6 19
10.5%
3 16
 
8.8%
5 15
 
8.3%
8 15
 
8.3%
4 13
 
7.2%
9 10
 
5.5%
0 10
 
5.5%
7 9
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
/ 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 478
55.1%
Common 387
44.6%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 70
14.6%
구 40
 
8.4%
남 37
 
7.7%
인 33
 
6.9%
광 33
 
6.9%
역 33
 
6.9%
시 33
 
6.9%
천 33
 
6.9%
층 13
 
2.7%
석 9
 
1.9%
Other values (65) 144
30.1%
Common
ValueCountFrequency (%)
165
42.6%
1 44
 
11.4%
2 30
 
7.8%
- 27
 
7.0%
6 19
 
4.9%
3 16
 
4.1%
5 15
 
3.9%
8 15
 
3.9%
4 13
 
3.4%
9 10
 
2.6%
Other values (7) 33
 
8.5%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 478
55.1%
ASCII 390
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
42.3%
1 44
 
11.3%
2 30
 
7.7%
- 27
 
6.9%
6 19
 
4.9%
3 16
 
4.1%
5 15
 
3.8%
8 15
 
3.8%
4 13
 
3.3%
9 10
 
2.6%
Other values (9) 36
 
9.2%
Hangul
ValueCountFrequency (%)
동 70
14.6%
구 40
 
8.4%
남 37
 
7.7%
인 33
 
6.9%
광 33
 
6.9%
역 33
 
6.9%
시 33
 
6.9%
천 33
 
6.9%
층 13
 
2.7%
석 9
 
1.9%
Other values (65) 144
30.1%

소재지전화
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T05:23:15.849062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters396
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 row032-422-2751
2nd row032-423-0996
3rd row032-461-8889
4th row032-433-0515
5th row032-438-6530
ValueCountFrequency (%)
032-422-2751 1
 
3.0%
032-341-1125 1
 
3.0%
032-423-0506 1
 
3.0%
032-431-8889 1
 
3.0%
032-227-7878 1
 
3.0%
032-464-7856 1
 
3.0%
032-424-2000 1
 
3.0%
032-441-3041 1
 
3.0%
032-822-0777 1
 
3.0%
032-465-8585 1
 
3.0%
Other values (23) 23
69.7%
2023-12-13T05:23:16.162539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 66
16.7%
2 62
15.7%
3 58
14.6%
0 55
13.9%
4 39
9.8%
6 29
7.3%
1 22
 
5.6%
8 21
 
5.3%
7 20
 
5.1%
5 18
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
83.3%
Dash Punctuation 66
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 62
18.8%
3 58
17.6%
0 55
16.7%
4 39
11.8%
6 29
8.8%
1 22
 
6.7%
8 21
 
6.4%
7 20
 
6.1%
5 18
 
5.5%
9 6
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 66
16.7%
2 62
15.7%
3 58
14.6%
0 55
13.9%
4 39
9.8%
6 29
7.3%
1 22
 
5.6%
8 21
 
5.3%
7 20
 
5.1%
5 18
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 66
16.7%
2 62
15.7%
3 58
14.6%
0 55
13.9%
4 39
9.8%
6 29
7.3%
1 22
 
5.6%
8 21
 
5.3%
7 20
 
5.1%
5 18
 
4.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-05-11
33 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-11
2nd row2023-05-11
3rd row2023-05-11
4th row2023-05-11
5th row2023-05-11

Common Values

ValueCountFrequency (%)
2023-05-11 33
100.0%

Length

2023-12-13T05:23:16.363229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:23:16.472485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-11 33
100.0%

Interactions

2023-12-13T05:23:12.639623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:23:16.597927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명업소소재지(도로명)업소소재지(지번)소재지전화
연번1.0001.0001.0001.0001.000
업소명1.0001.0001.0001.0001.000
업소소재지(도로명)1.0001.0001.0001.0001.000
업소소재지(지번)1.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.000

Missing values

2023-12-13T05:23:12.822449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:23:12.977564image/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

연번업종명업소명업소소재지(도로명)업소소재지(지번)소재지전화데이터기준일자
01목욕장업경인목욕탕인천광역시 남동구 경인로 601 (간석동)인천광역시 남동구 간석동 250-6032-422-27512023-05-11
12목욕장업광명목욕탕인천광역시 남동구 호구포로889번길 16, 1,2층 (간석동)인천광역시 남동구 간석동 916-12 1층,2층032-423-09962023-05-11
23목욕장업삼양탕인천광역시 남동구 만수로50번길 27 (만수동,주공아파트 상가내)인천광역시 남동구 만수동 24 주공아파트 상가내032-461-88892023-05-11
34목욕장업88사우나인천광역시 남동구 경인로644번길 82, 2층 (간석동)인천광역시 남동구 간석동 117-13 2층032-433-05152023-05-11
45목욕장업신원목욕탕인천광역시 남동구 문화서로17번길 8 (구월동)인천광역시 남동구 구월동 1380-4032-438-65302023-05-11
56목욕장업아주목욕탕인천광역시 남동구 만수로 91 (만수동)인천광역시 남동구 만수동 5-384 28통4반032-463-10202023-05-11
67목욕장업스파월드짐인천광역시 남동구 담방로21번길 55 (만수동)인천광역시 남동구 만수동 1044032-465-30382023-05-11
78목욕장업신한목욕탕인천광역시 남동구 석정로 568 (간석동)인천광역시 남동구 간석동 581-10032-432-25652023-05-11
89목욕장업만수여성대중사우나인천광역시 남동구 하촌로 26 (만수동)인천광역시 남동구 만수동 967-8032-467-54222023-05-11
910목욕장업부림목욕탕인천광역시 남동구 하촌로70번길 18 (만수동)인천광역시 남동구 만수동 959-1032-461-04752023-05-11
연번업종명업소명업소소재지(도로명)업소소재지(지번)소재지전화데이터기준일자
2324목욕장업소래해수사우나인천광역시 남동구 장도로 64 (논현동,동아씨랜드 4~5층 전부)인천광역시 남동구 논현동 678-4 동아씨랜드 4~5층 전부032-421-50502023-05-11
2425목욕장업24시선수촌 숯가마사우나인천광역시 남동구 남동대로 684 (구월동, 지하1,2/2,3,4층)인천광역시 남동구 구월동 1178-2 지하1,2 / 2,3,4층032-465-85852023-05-11
2526목욕장업엠스퀘어플래닛인천광역시 남동구 논현고잔로135번길 30-13, 3동 2층 (고잔동)인천광역시 남동구 고잔동 246-13032-822-07772023-05-11
2627목욕장업학성스포렉스인천광역시 남동구 논현고잔로128번길 10, 1층 (고잔동, 학성스포렉스)인천광역시 남동구 고잔동 222-2032-441-30412023-05-11
2728목욕장업누리자스파인천광역시 남동구 선수촌공원로23번길 10-21, 4~5층 (구월동, 4~5층전체)인천광역시 남동구 구월동 1535 누리자타운 (4~5층)032-424-20002023-05-11
2829목욕장업휴림 토르마린 저온 찜질방인천광역시 남동구 남촌로 83, 2층 (남촌동)인천광역시 남동구 남촌동 266-8 2층전체032-464-78562023-05-11
2930목욕장업동양여성사우나인천광역시 남동구 석산로 171, 동양스포츠센타 5층 전체호 (간석동)인천광역시 남동구 간석동 153-8 동양스포츠센타 5층전체호032-227-78782023-05-11
3031목욕장업해와달인천광역시 남동구 남동대로 924, 2층16호일부,3층17호 (간석동)인천광역시 남동구 간석동 213-8 16,17호032-431-88892023-05-11
3132목욕장업고연휴앤락찜질방인천광역시 남동구 백범로 270, 삼성디지털프라자 2층 (간석동)인천광역시 남동구 간석동 915-5 삼성디지털프라자032-423-05062023-05-11
3233목욕장업아페리온24스파랜드인천광역시 남동구 서창남순환로 223, 아페리온 A동 8층 801호 (서창동)인천광역시 남동구 서창동 687-3 아페리온032-469-88832023-05-11