Overview

Dataset statistics

Number of variables6
Number of observations248
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.0 KiB
Average record size in memory49.5 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description창원시 관내 목욕장 업소 현황에 대한 데이터입니다.제공 내역은 "업소 상호, 업소 소재지, 업소 전화번호"입니다.
Author경상남도 창원시
URLhttps://www.data.go.kr/data/15095147/fileData.do

Alerts

업종명 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:04:40.212088
Analysis finished2024-04-21 02:04:41.106006
Duration0.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct248
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.5
Minimum1
Maximum248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2024-04-21T11:04:41.173951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.35
Q162.75
median124.5
Q3186.25
95-th percentile235.65
Maximum248
Range247
Interquartile range (IQR)123.5

Descriptive statistics

Standard deviation71.735626
Coefficient of variation (CV)0.57618976
Kurtosis-1.2
Mean124.5
Median Absolute Deviation (MAD)62
Skewness0
Sum30876
Variance5146
MonotonicityStrictly increasing
2024-04-21T11:04:41.293383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
172 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
162 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
Other values (238) 238
96.0%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
248 1
0.4%
247 1
0.4%
246 1
0.4%
245 1
0.4%
244 1
0.4%
243 1
0.4%
242 1
0.4%
241 1
0.4%
240 1
0.4%
239 1
0.4%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
목욕장업
248 

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 248
100.0%

Length

2024-04-21T11:04:41.410821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:04:41.496034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목욕장업 248
100.0%
Distinct238
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-21T11:04:41.756563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length4.7258065
Min length2

Characters and Unicode

Total characters1172
Distinct characters225
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

Unique228 ?
Unique (%)91.9%

Sample

1st row마금산원탕보양온천
2nd row목간사우나
3rd row경상온천
4th row천마온천
5th row창원탕
ValueCountFrequency (%)
사우나 4
 
1.5%
팔용탕 2
 
0.8%
목간사우나 2
 
0.8%
수정탕 2
 
0.8%
옥천탕 2
 
0.8%
목화탕 2
 
0.8%
마금산원탕보양온천 2
 
0.8%
신우사우나 2
 
0.8%
우리사우나 2
 
0.8%
석수목욕탕 2
 
0.8%
Other values (236) 237
91.5%
2024-04-21T11:04:42.172893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
9.7%
76
 
6.5%
68
 
5.8%
67
 
5.7%
43
 
3.7%
37
 
3.2%
32
 
2.7%
28
 
2.4%
23
 
2.0%
21
 
1.8%
Other values (215) 663
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1149
98.0%
Space Separator 11
 
0.9%
Open Punctuation 5
 
0.4%
Close Punctuation 5
 
0.4%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
114
 
9.9%
76
 
6.6%
68
 
5.9%
67
 
5.8%
43
 
3.7%
37
 
3.2%
32
 
2.8%
28
 
2.4%
23
 
2.0%
21
 
1.8%
Other values (210) 640
55.7%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1149
98.0%
Common 23
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
114
 
9.9%
76
 
6.6%
68
 
5.9%
67
 
5.8%
43
 
3.7%
37
 
3.2%
32
 
2.8%
28
 
2.4%
23
 
2.0%
21
 
1.8%
Other values (210) 640
55.7%
Common
ValueCountFrequency (%)
11
47.8%
( 5
21.7%
) 5
21.7%
4 1
 
4.3%
2 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1149
98.0%
ASCII 23
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
114
 
9.9%
76
 
6.6%
68
 
5.9%
67
 
5.8%
43
 
3.7%
37
 
3.2%
32
 
2.8%
28
 
2.4%
23
 
2.0%
21
 
1.8%
Other values (210) 640
55.7%
ASCII
ValueCountFrequency (%)
11
47.8%
( 5
21.7%
) 5
21.7%
4 1
 
4.3%
2 1
 
4.3%
Distinct247
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-21T11:04:42.377886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length51
Mean length33.169355
Min length21

Characters and Unicode

Total characters8226
Distinct characters219
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

Unique246 ?
Unique (%)99.2%

Sample

1st row경상남도 창원시 의창구 북면 천주로 1167
2nd row경상남도 창원시 의창구 대산면 주남로 549-1
3rd row경상남도 창원시 의창구 소계로 107 (소계동)
4th row경상남도 창원시 의창구 북면 천주로 1171 ((구번지 426-9,427-2,4,9))
5th row경상남도 창원시 의창구 의창대로211번길 30 (중동,1층,2층)
ValueCountFrequency (%)
경상남도 248
 
15.3%
창원시 248
 
15.3%
마산합포구 75
 
4.6%
마산회원구 51
 
3.1%
의창구 46
 
2.8%
진해구 39
 
2.4%
성산구 37
 
2.3%
회원동 12
 
0.7%
북면 11
 
0.7%
내서읍 11
 
0.7%
Other values (573) 844
52.0%
2024-04-21T11:04:42.742971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1375
 
16.7%
341
 
4.1%
306
 
3.7%
295
 
3.6%
290
 
3.5%
1 278
 
3.4%
266
 
3.2%
263
 
3.2%
257
 
3.1%
257
 
3.1%
Other values (209) 4298
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5029
61.1%
Space Separator 1375
 
16.7%
Decimal Number 1127
 
13.7%
Close Punctuation 222
 
2.7%
Open Punctuation 222
 
2.7%
Other Punctuation 195
 
2.4%
Dash Punctuation 50
 
0.6%
Uppercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
341
 
6.8%
306
 
6.1%
295
 
5.9%
290
 
5.8%
266
 
5.3%
263
 
5.2%
257
 
5.1%
257
 
5.1%
255
 
5.1%
212
 
4.2%
Other values (187) 2287
45.5%
Decimal Number
ValueCountFrequency (%)
1 278
24.7%
2 173
15.4%
3 133
11.8%
5 98
 
8.7%
6 95
 
8.4%
4 89
 
7.9%
0 81
 
7.2%
7 71
 
6.3%
9 57
 
5.1%
8 52
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 186
95.4%
. 5
 
2.6%
@ 2
 
1.0%
: 1
 
0.5%
· 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
Z 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1375
100.0%
Close Punctuation
ValueCountFrequency (%)
) 222
100.0%
Open Punctuation
ValueCountFrequency (%)
( 222
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5029
61.1%
Common 3193
38.8%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
341
 
6.8%
306
 
6.1%
295
 
5.9%
290
 
5.8%
266
 
5.3%
263
 
5.2%
257
 
5.1%
257
 
5.1%
255
 
5.1%
212
 
4.2%
Other values (187) 2287
45.5%
Common
ValueCountFrequency (%)
1375
43.1%
1 278
 
8.7%
) 222
 
7.0%
( 222
 
7.0%
, 186
 
5.8%
2 173
 
5.4%
3 133
 
4.2%
5 98
 
3.1%
6 95
 
3.0%
4 89
 
2.8%
Other values (10) 322
 
10.1%
Latin
ValueCountFrequency (%)
B 3
75.0%
Z 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5029
61.1%
ASCII 3196
38.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1375
43.0%
1 278
 
8.7%
) 222
 
6.9%
( 222
 
6.9%
, 186
 
5.8%
2 173
 
5.4%
3 133
 
4.2%
5 98
 
3.1%
6 95
 
3.0%
4 89
 
2.8%
Other values (11) 325
 
10.2%
Hangul
ValueCountFrequency (%)
341
 
6.8%
306
 
6.1%
295
 
5.9%
290
 
5.8%
266
 
5.3%
263
 
5.2%
257
 
5.1%
257
 
5.1%
255
 
5.1%
212
 
4.2%
Other values (187) 2287
45.5%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct247
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-21T11:04:42.948406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length28.004032
Min length19

Characters and Unicode

Total characters6945
Distinct characters184
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

Unique246 ?
Unique (%)99.2%

Sample

1st row경상남도 창원시 의창구 북면 신촌리 406-4
2nd row경상남도 창원시 의창구 대산면 가술리 387-30
3rd row경상남도 창원시 의창구 소계동 722-4
4th row경상남도 창원시 의창구 북면 신촌리 406-5 (구번지 426-9,427-2,4,9)
5th row경상남도 창원시 의창구 중동 687 1층,2층
ValueCountFrequency (%)
경상남도 248
 
17.4%
창원시 248
 
17.4%
마산합포구 75
 
5.3%
마산회원구 51
 
3.6%
의창구 46
 
3.2%
진해구 39
 
2.7%
성산구 37
 
2.6%
상남동 12
 
0.8%
회원동 12
 
0.8%
북면 11
 
0.8%
Other values (458) 648
45.4%
2024-04-21T11:04:43.288581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1420
20.4%
319
 
4.6%
299
 
4.3%
285
 
4.1%
1 267
 
3.8%
266
 
3.8%
259
 
3.7%
258
 
3.7%
254
 
3.7%
249
 
3.6%
Other values (174) 3069
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4036
58.1%
Space Separator 1420
 
20.4%
Decimal Number 1171
 
16.9%
Dash Punctuation 221
 
3.2%
Other Punctuation 53
 
0.8%
Open Punctuation 19
 
0.3%
Close Punctuation 18
 
0.3%
Uppercase Letter 5
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
319
 
7.9%
299
 
7.4%
285
 
7.1%
266
 
6.6%
259
 
6.4%
258
 
6.4%
254
 
6.3%
249
 
6.2%
234
 
5.8%
195
 
4.8%
Other values (153) 1418
35.1%
Decimal Number
ValueCountFrequency (%)
1 267
22.8%
2 195
16.7%
3 133
11.4%
4 129
11.0%
5 110
9.4%
0 83
 
7.1%
7 74
 
6.3%
6 70
 
6.0%
8 55
 
4.7%
9 55
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 46
86.8%
. 6
 
11.3%
: 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
Z 1
 
20.0%
L 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1420
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 221
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4036
58.1%
Common 2904
41.8%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
319
 
7.9%
299
 
7.4%
285
 
7.1%
266
 
6.6%
259
 
6.4%
258
 
6.4%
254
 
6.3%
249
 
6.2%
234
 
5.8%
195
 
4.8%
Other values (153) 1418
35.1%
Common
ValueCountFrequency (%)
1420
48.9%
1 267
 
9.2%
- 221
 
7.6%
2 195
 
6.7%
3 133
 
4.6%
4 129
 
4.4%
5 110
 
3.8%
0 83
 
2.9%
7 74
 
2.5%
6 70
 
2.4%
Other values (8) 202
 
7.0%
Latin
ValueCountFrequency (%)
B 3
60.0%
Z 1
 
20.0%
L 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4036
58.1%
ASCII 2909
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1420
48.8%
1 267
 
9.2%
- 221
 
7.6%
2 195
 
6.7%
3 133
 
4.6%
4 129
 
4.4%
5 110
 
3.8%
0 83
 
2.9%
7 74
 
2.5%
6 70
 
2.4%
Other values (11) 207
 
7.1%
Hangul
ValueCountFrequency (%)
319
 
7.9%
299
 
7.4%
285
 
7.1%
266
 
6.6%
259
 
6.4%
258
 
6.4%
254
 
6.3%
249
 
6.2%
234
 
5.8%
195
 
4.8%
Other values (153) 1418
35.1%
Distinct229
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-04-21T11:04:43.524325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length12.552419
Min length7

Characters and Unicode

Total characters3113
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique227 ?
Unique (%)91.5%

Sample

1st row055- 298-5162
2nd row055- 291-4651
3rd row055- 256-5650
4th row055- 298-7111
5th row055- 255-5724
ValueCountFrequency (%)
055 228
46.0%
데이터 19
 
3.8%
미집계 19
 
3.8%
222-7015 2
 
0.4%
247-4580 1
 
0.2%
251-4725 1
 
0.2%
256-0148 1
 
0.2%
256-5706 1
 
0.2%
247-0101 1
 
0.2%
222-0681 1
 
0.2%
Other values (222) 222
44.8%
2024-04-21T11:04:43.900600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 660
21.2%
- 458
14.7%
0 379
12.2%
2 331
10.6%
251
 
8.1%
4 167
 
5.4%
8 138
 
4.4%
7 135
 
4.3%
1 133
 
4.3%
3 125
 
4.0%
Other values (8) 336
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2290
73.6%
Dash Punctuation 458
 
14.7%
Space Separator 251
 
8.1%
Other Letter 114
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 660
28.8%
0 379
16.6%
2 331
14.5%
4 167
 
7.3%
8 138
 
6.0%
7 135
 
5.9%
1 133
 
5.8%
3 125
 
5.5%
6 117
 
5.1%
9 105
 
4.6%
Other Letter
ValueCountFrequency (%)
19
16.7%
19
16.7%
19
16.7%
19
16.7%
19
16.7%
19
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 458
100.0%
Space Separator
ValueCountFrequency (%)
251
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2999
96.3%
Hangul 114
 
3.7%

Most frequent character per script

Common
ValueCountFrequency (%)
5 660
22.0%
- 458
15.3%
0 379
12.6%
2 331
11.0%
251
 
8.4%
4 167
 
5.6%
8 138
 
4.6%
7 135
 
4.5%
1 133
 
4.4%
3 125
 
4.2%
Other values (2) 222
 
7.4%
Hangul
ValueCountFrequency (%)
19
16.7%
19
16.7%
19
16.7%
19
16.7%
19
16.7%
19
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2999
96.3%
Hangul 114
 
3.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 660
22.0%
- 458
15.3%
0 379
12.6%
2 331
11.0%
251
 
8.4%
4 167
 
5.6%
8 138
 
4.6%
7 135
 
4.5%
1 133
 
4.4%
3 125
 
4.2%
Other values (2) 222
 
7.4%
Hangul
ValueCountFrequency (%)
19
16.7%
19
16.7%
19
16.7%
19
16.7%
19
16.7%
19
16.7%

Interactions

2024-04-21T11:04:40.840901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-21T11:04:40.963828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:04:41.061210image/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

번호업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화
01목욕장업마금산원탕보양온천경상남도 창원시 의창구 북면 천주로 1167경상남도 창원시 의창구 북면 신촌리 406-4055- 298-5162
12목욕장업목간사우나경상남도 창원시 의창구 대산면 주남로 549-1경상남도 창원시 의창구 대산면 가술리 387-30055- 291-4651
23목욕장업경상온천경상남도 창원시 의창구 소계로 107 (소계동)경상남도 창원시 의창구 소계동 722-4055- 256-5650
34목욕장업천마온천경상남도 창원시 의창구 북면 천주로 1171 ((구번지 426-9,427-2,4,9))경상남도 창원시 의창구 북면 신촌리 406-5 (구번지 426-9,427-2,4,9)055- 298-7111
45목욕장업창원탕경상남도 창원시 의창구 의창대로211번길 30 (중동,1층,2층)경상남도 창원시 의창구 중동 687 1층,2층055- 255-5724
56목욕장업옥수탕경상남도 창원시 의창구 소계로90번길 9 (소계동)경상남도 창원시 의창구 소계동 715-10055- 294-7587
67목욕장업경남목욕탕경상남도 창원시 의창구 지귀로 18 (봉곡동,경남상가 2층)경상남도 창원시 의창구 봉곡동 31-2 경남상가 2층055- 288-6767
78목욕장업대청사우나경상남도 창원시 의창구 창이대로 205 (봉곡동)경상남도 창원시 의창구 봉곡동 61-15055- 288-6789
89목욕장업봉림탕경상남도 창원시 의창구 봉곡로111번길 10 (봉곡동)경상남도 창원시 의창구 봉곡동 144-2055- 285-3477
910목욕장업대온목욕탕경상남도 창원시 의창구 원이대로189번길 36 (명서동)경상남도 창원시 의창구 명서동 75-3055- 288-5045
번호업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화
238239목욕장업하이존사우나경상남도 창원시 진해구 조천북로 62 (경화동)경상남도 창원시 진해구 경화동 1488055- 542-2353
239240목욕장업유성사우나경상남도 창원시 진해구 용원로41번길 9 (용원동,9층)경상남도 창원시 진해구 용원동 1216-4 9층055- 543-0504
240241목욕장업부경신항수협사우나경상남도 창원시 진해구 마천로36번길 8 (마천동,(1층. 2층))경상남도 창원시 진해구 마천동 159-4 (1층. 2층)055- 543-9995
241242목욕장업보배산참숯찜질방경상남도 창원시 진해구 가주로73번길 14 (가주동)경상남도 창원시 진해구 가주동 61-1055- 551-2202
242243목욕장업진해스파랜드경상남도 창원시 진해구 진해대로 762, 지1층 B101-13호 (석동, 진해미래쇼핑센터)경상남도 창원시 진해구 석동 543-5 진해미래쇼핑센터 지1층 B101-13호055- 544-0500
243244목욕장업정우사우나경상남도 창원시 진해구 장복대로 141, 4층 (자은동)경상남도 창원시 진해구 자은동 151-1 4층055- 547-5155
244245목욕장업태림사우나경상남도 창원시 진해구 중원로74번길 5 (대흥동)경상남도 창원시 진해구 대흥동 13055- 545-0004
245246목욕장업백로사우나경상남도 창원시 진해구 벚꽃로60번길 26, 백로탕 2층 (송학동)경상남도 창원시 진해구 송학동 52-10 백로탕 2층데이터 미집계
246247목욕장업물조은온천경상남도 창원시 진해구 신항동로 121, 오렌지타운 401,403호 (용원동)경상남도 창원시 진해구 용원동 1342 오렌지타운055- 545-5757
247248목욕장업시루봉사우나경상남도 창원시 진해구 자은로64번길 3, 부길골든프라자 지하1층 (자은동)경상남도 창원시 진해구 자은동 959-2 부길골든프라자 지하1층데이터 미집계