Overview

Dataset statistics

Number of variables7
Number of observations96
Missing cells10
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory57.4 B

Variable types

Text4
DateTime2
Categorical1

Dataset

Description울산광역시 중구에 있는 숙박시설(여관, 여인숙, 모텔, 호텔, 객실수, 양실수, 한실수 등) 명칭 및 소재지, 연락처 현황
Author울산광역시 중구
URLhttps://www.data.go.kr/data/3076650/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업종명 is highly imbalanced (58.6%)Imbalance
소재지전화 has 10 (10.4%) missing valuesMissing
업소명 has unique valuesUnique
신고일자 has unique valuesUnique
영업소 주소(도로명) has unique valuesUnique
영업소 주소(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:16:44.719889
Analysis finished2023-12-12 13:16:45.359104
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-12T22:16:45.602043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13
Mean length4.90625
Min length3

Characters and Unicode

Total characters471
Distinct characters156
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st row홍성장여인숙
2nd row천일장여인숙
3rd row상여인숙
4th row우성여인숙
5th row광명여인숙
ValueCountFrequency (%)
모텔 2
 
2.0%
브라운도트호텔 2
 
2.0%
울산학산점 2
 
2.0%
홍성장여인숙 1
 
1.0%
뉴에로스모텔 1
 
1.0%
나비야모텔 1
 
1.0%
커플모텔 1
 
1.0%
제이비디자인호텔 1
 
1.0%
스카이모텔 1
 
1.0%
유투모텔 1
 
1.0%
Other values (88) 88
87.1%
2023-12-12T22:16:46.177155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 36
 
7.6%
장 34
 
7.2%
여 33
 
7.0%
모 29
 
6.2%
인 22
 
4.7%
숙 20
 
4.2%
스 13
 
2.8%
관 13
 
2.8%
호 9
 
1.9%
이 7
 
1.5%
Other values (146) 255
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 448
95.1%
Uppercase Letter 14
 
3.0%
Space Separator 5
 
1.1%
Decimal Number 2
 
0.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 36
 
8.0%
장 34
 
7.6%
여 33
 
7.4%
모 29
 
6.5%
인 22
 
4.9%
숙 20
 
4.5%
스 13
 
2.9%
관 13
 
2.9%
호 9
 
2.0%
이 7
 
1.6%
Other values (131) 232
51.8%
Uppercase Letter
ValueCountFrequency (%)
E 3
21.4%
I 2
14.3%
R 2
14.3%
D 1
 
7.1%
S 1
 
7.1%
V 1
 
7.1%
L 1
 
7.1%
T 1
 
7.1%
O 1
 
7.1%
H 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 448
95.1%
Latin 14
 
3.0%
Common 9
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 36
 
8.0%
장 34
 
7.6%
여 33
 
7.4%
모 29
 
6.5%
인 22
 
4.9%
숙 20
 
4.5%
스 13
 
2.9%
관 13
 
2.9%
호 9
 
2.0%
이 7
 
1.6%
Other values (131) 232
51.8%
Latin
ValueCountFrequency (%)
E 3
21.4%
I 2
14.3%
R 2
14.3%
D 1
 
7.1%
S 1
 
7.1%
V 1
 
7.1%
L 1
 
7.1%
T 1
 
7.1%
O 1
 
7.1%
H 1
 
7.1%
Common
ValueCountFrequency (%)
5
55.6%
5 1
 
11.1%
2 1
 
11.1%
) 1
 
11.1%
( 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 448
95.1%
ASCII 23
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 36
 
8.0%
장 34
 
7.6%
여 33
 
7.4%
모 29
 
6.5%
인 22
 
4.9%
숙 20
 
4.5%
스 13
 
2.9%
관 13
 
2.9%
호 9
 
2.0%
이 7
 
1.6%
Other values (131) 232
51.8%
ASCII
ValueCountFrequency (%)
5
21.7%
E 3
13.0%
I 2
 
8.7%
R 2
 
8.7%
5 1
 
4.3%
2 1
 
4.3%
) 1
 
4.3%
D 1
 
4.3%
S 1
 
4.3%
V 1
 
4.3%
Other values (5) 5
21.7%

신고일자
Date

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum1963-12-15 00:00:00
Maximum2022-03-28 00:00:00
2023-12-12T22:16:46.375822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:16:46.595756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
숙박업(일반)
88 
숙박업(생활)
 
8

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숙박업(일반)
2nd row숙박업(일반)
3rd row숙박업(일반)
4th row숙박업(일반)
5th row숙박업(일반)

Common Values

ValueCountFrequency (%)
숙박업(일반) 88
91.7%
숙박업(생활) 8
 
8.3%

Length

2023-12-12T22:16:46.740109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:16:47.145444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업(일반 88
91.7%
숙박업(생활 8
 
8.3%

영업소 주소(도로명)
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-12T22:16:47.484449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32.5
Mean length25.041667
Min length21

Characters and Unicode

Total characters2404
Distinct characters73
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st row울산광역시 중구 학성로 166-3 (학성동)
2nd row울산광역시 중구 학성로 169-1 (학성동)
3rd row울산광역시 중구 학성로 166-6 (학성동)
4th row울산광역시 중구 학성로 166-2 (학성동)
5th row울산광역시 중구 구역전1길 13 (학산동)
ValueCountFrequency (%)
울산광역시 96
18.8%
중구 96
18.8%
성남동 25
 
4.9%
학성동 24
 
4.7%
학성로 18
 
3.5%
학산동 15
 
2.9%
우정동 11
 
2.1%
중앙길 9
 
1.8%
당산4길 9
 
1.8%
젊음의거리 6
 
1.2%
Other values (138) 203
39.6%
2023-12-12T22:16:48.036368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
416
 
17.3%
산 124
 
5.2%
구 115
 
4.8%
중 111
 
4.6%
역 106
 
4.4%
시 99
 
4.1%
( 97
 
4.0%
동 97
 
4.0%
) 97
 
4.0%
울 96
 
4.0%
Other values (63) 1046
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1343
55.9%
Space Separator 416
 
17.3%
Decimal Number 355
 
14.8%
Open Punctuation 97
 
4.0%
Close Punctuation 97
 
4.0%
Dash Punctuation 38
 
1.6%
Other Punctuation 37
 
1.5%
Math Symbol 21
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 124
 
9.2%
구 115
 
8.6%
중 111
 
8.3%
역 106
 
7.9%
시 99
 
7.4%
동 97
 
7.2%
울 96
 
7.1%
광 96
 
7.1%
성 69
 
5.1%
길 61
 
4.5%
Other values (47) 369
27.5%
Decimal Number
ValueCountFrequency (%)
1 87
24.5%
2 67
18.9%
3 52
14.6%
4 33
 
9.3%
6 30
 
8.5%
0 22
 
6.2%
5 20
 
5.6%
7 17
 
4.8%
8 15
 
4.2%
9 12
 
3.4%
Space Separator
ValueCountFrequency (%)
416
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1343
55.9%
Common 1061
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 124
 
9.2%
구 115
 
8.6%
중 111
 
8.3%
역 106
 
7.9%
시 99
 
7.4%
동 97
 
7.2%
울 96
 
7.1%
광 96
 
7.1%
성 69
 
5.1%
길 61
 
4.5%
Other values (47) 369
27.5%
Common
ValueCountFrequency (%)
416
39.2%
( 97
 
9.1%
) 97
 
9.1%
1 87
 
8.2%
2 67
 
6.3%
3 52
 
4.9%
- 38
 
3.6%
, 37
 
3.5%
4 33
 
3.1%
6 30
 
2.8%
Other values (6) 107
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1343
55.9%
ASCII 1061
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
416
39.2%
( 97
 
9.1%
) 97
 
9.1%
1 87
 
8.2%
2 67
 
6.3%
3 52
 
4.9%
- 38
 
3.6%
, 37
 
3.5%
4 33
 
3.1%
6 30
 
2.8%
Other values (6) 107
 
10.1%
Hangul
ValueCountFrequency (%)
산 124
 
9.2%
구 115
 
8.6%
중 111
 
8.3%
역 106
 
7.9%
시 99
 
7.4%
동 97
 
7.2%
울 96
 
7.1%
광 96
 
7.1%
성 69
 
5.1%
길 61
 
4.5%
Other values (47) 369
27.5%

영업소 주소(지번)
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-12T22:16:48.400349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length28
Mean length20.958333
Min length17

Characters and Unicode

Total characters2012
Distinct characters44
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st row울산광역시 중구 학성동 432-375
2nd row울산광역시 중구 학성동 432-314
3rd row울산광역시 중구 학성동 432-213
4th row울산광역시 중구 학성동 432-299
5th row울산광역시 중구 학산동 66-35
ValueCountFrequency (%)
울산광역시 96
23.4%
중구 96
23.4%
성남동 25
 
6.1%
학성동 24
 
5.8%
학산동 15
 
3.6%
우정동 11
 
2.7%
옥교동 6
 
1.5%
반구동 5
 
1.2%
태화동 4
 
1.0%
남외동 4
 
1.0%
Other values (118) 125
30.4%
2023-12-12T22:16:48.942209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
411
20.4%
산 111
 
5.5%
구 101
 
5.0%
동 97
 
4.8%
울 96
 
4.8%
광 96
 
4.8%
역 96
 
4.8%
시 96
 
4.8%
중 96
 
4.8%
1 92
 
4.6%
Other values (34) 720
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1010
50.2%
Decimal Number 473
23.5%
Space Separator 411
20.4%
Dash Punctuation 89
 
4.4%
Math Symbol 14
 
0.7%
Other Punctuation 7
 
0.3%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 111
11.0%
구 101
10.0%
동 97
9.6%
울 96
9.5%
광 96
9.5%
역 96
9.5%
시 96
9.5%
중 96
9.5%
성 49
 
4.9%
학 39
 
3.9%
Other values (18) 133
13.2%
Decimal Number
ValueCountFrequency (%)
1 92
19.5%
2 91
19.2%
3 76
16.1%
4 54
11.4%
9 32
 
6.8%
7 32
 
6.8%
5 32
 
6.8%
6 25
 
5.3%
8 20
 
4.2%
0 19
 
4.0%
Space Separator
ValueCountFrequency (%)
411
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1010
50.2%
Common 1002
49.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 111
11.0%
구 101
10.0%
동 97
9.6%
울 96
9.5%
광 96
9.5%
역 96
9.5%
시 96
9.5%
중 96
9.5%
성 49
 
4.9%
학 39
 
3.9%
Other values (18) 133
13.2%
Common
ValueCountFrequency (%)
411
41.0%
1 92
 
9.2%
2 91
 
9.1%
- 89
 
8.9%
3 76
 
7.6%
4 54
 
5.4%
9 32
 
3.2%
7 32
 
3.2%
5 32
 
3.2%
6 25
 
2.5%
Other values (6) 68
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1010
50.2%
ASCII 1002
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
411
41.0%
1 92
 
9.2%
2 91
 
9.1%
- 89
 
8.9%
3 76
 
7.6%
4 54
 
5.4%
9 32
 
3.2%
7 32
 
3.2%
5 32
 
3.2%
6 25
 
2.5%
Other values (6) 68
 
6.8%
Hangul
ValueCountFrequency (%)
산 111
11.0%
구 101
10.0%
동 97
9.6%
울 96
9.5%
광 96
9.5%
역 96
9.5%
시 96
9.5%
중 96
9.5%
성 49
 
4.9%
학 39
 
3.9%
Other values (18) 133
13.2%

소재지전화
Text

MISSING 

Distinct86
Distinct (%)100.0%
Missing10
Missing (%)10.4%
Memory size900.0 B
2023-12-12T22:16:49.269711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.337209
Min length12

Characters and Unicode

Total characters1061
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

Unique86 ?
Unique (%)100.0%

Sample

1st row052-296-7487
2nd row052-0211-6051
3rd row052-0211-7444
4th row052-0246-8361
5th row052-243-0869
ValueCountFrequency (%)
052-297-4140 1
 
1.2%
052-292-2002 1
 
1.2%
052-243-2800 1
 
1.2%
052-297-0162 1
 
1.2%
052-293-1567 1
 
1.2%
052-211-4884 1
 
1.2%
052-742-5521 1
 
1.2%
052-294-8810 1
 
1.2%
052-0243-0088 1
 
1.2%
052-294-2929 1
 
1.2%
Other values (76) 76
88.4%
2023-12-12T22:16:49.731663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 209
19.7%
0 179
16.9%
- 172
16.2%
5 138
13.0%
4 87
8.2%
1 56
 
5.3%
9 51
 
4.8%
6 46
 
4.3%
8 44
 
4.1%
3 41
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 889
83.8%
Dash Punctuation 172
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 209
23.5%
0 179
20.1%
5 138
15.5%
4 87
9.8%
1 56
 
6.3%
9 51
 
5.7%
6 46
 
5.2%
8 44
 
4.9%
3 41
 
4.6%
7 38
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1061
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 209
19.7%
0 179
16.9%
- 172
16.2%
5 138
13.0%
4 87
8.2%
1 56
 
5.3%
9 51
 
4.8%
6 46
 
4.3%
8 44
 
4.1%
3 41
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1061
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 209
19.7%
0 179
16.9%
- 172
16.2%
5 138
13.0%
4 87
8.2%
1 56
 
5.3%
9 51
 
4.8%
6 46
 
4.3%
8 44
 
4.1%
3 41
 
3.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum2023-09-19 00:00:00
Maximum2023-09-19 00:00:00
2023-12-12T22:16:49.864943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:16:49.976957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T22:16:50.057880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명신고일자업종명영업소 주소(도로명)영업소 주소(지번)소재지전화
업소명1.0001.0001.0001.0001.0001.000
신고일자1.0001.0001.0001.0001.0001.000
업종명1.0001.0001.0001.0001.0001.000
영업소 주소(도로명)1.0001.0001.0001.0001.0001.000
영업소 주소(지번)1.0001.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T22:16:45.206536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:16:45.315371image/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

업소명신고일자업종명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일자
0홍성장여인숙1963-12-15숙박업(일반)울산광역시 중구 학성로 166-3 (학성동)울산광역시 중구 학성동 432-375052-296-74872023-09-19
1천일장여인숙1970-03-17숙박업(일반)울산광역시 중구 학성로 169-1 (학성동)울산광역시 중구 학성동 432-314<NA>2023-09-19
2상여인숙1970-06-16숙박업(일반)울산광역시 중구 학성로 166-6 (학성동)울산광역시 중구 학성동 432-213052-0211-60512023-09-19
3우성여인숙1970-08-26숙박업(일반)울산광역시 중구 학성로 166-2 (학성동)울산광역시 중구 학성동 432-299052-0211-74442023-09-19
4광명여인숙1970-10-28숙박업(일반)울산광역시 중구 구역전1길 13 (학산동)울산광역시 중구 학산동 66-35052-0246-83612023-09-19
5우리여인숙1970-09-23숙박업(일반)울산광역시 중구 구역전1길 15 (학산동)울산광역시 중구 학산동 66-24052-243-08692023-09-19
6한양장여관1971-01-26숙박업(일반)울산광역시 중구 중앙2길 9 (성남동)울산광역시 중구 성남동 156-4052-243-87682023-09-19
7청림장여인숙1973-03-07숙박업(일반)울산광역시 중구 학성로 166-12 (학성동)울산광역시 중구 학성동 432-220052-0297-63982023-09-19
8일월여인숙1974-12-10숙박업(일반)울산광역시 중구 구역전길 30 (학성동)울산광역시 중구 학성동 433-6052-296-68142023-09-19
9영남여인숙1975-03-10숙박업(일반)울산광역시 중구 구역전1길 37-3 (학산동)울산광역시 중구 학산동 54-1052-282-42622023-09-19
업소명신고일자업종명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일자
86풍원장2021-02-02숙박업(일반)울산광역시 중구 중앙3길 22, 1,2,3층 (성남동)울산광역시 중구 성남동 179-10 1,2,3층<NA>2023-09-19
87소라모텔2022-03-28숙박업(일반)울산광역시 중구 옥골샘4길 15 (옥교동)울산광역시 중구 옥교동 159-2052-245-55572023-09-19
88동궁장여관1982-10-13숙박업(생활)울산광역시 중구 명륜로 131 (교동)울산광역시 중구 교동 219-2052-243-37972023-09-19
89어울림1987-12-30숙박업(생활)울산광역시 중구 당산길 10 (우정동)울산광역시 중구 우정동 74-6052-0245-31002023-09-19
90하우스인어스1988-12-07숙박업(생활)울산광역시 중구 당산4길 106 (우정동)울산광역시 중구 우정동 59-19<NA>2023-09-19
91하이얏트2000-10-22숙박업(생활)울산광역시 중구 당산3길 17-2 (우정동)울산광역시 중구 우정동 285-11<NA>2023-09-19
92새생활그린장2007-08-08숙박업(생활)울산광역시 중구 학성1길 2, 2동 2~4층 (학성동)울산광역시 중구 학성동 423-3 (2~4층) 2동<NA>2023-09-19
93호텔리버사이드(HOTELRIVERSIDE)2018-03-23숙박업(생활)울산광역시 중구 젊음의거리 20, 3-20층 (성남동)울산광역시 중구 성남동 191-6052-956-01002023-09-19
94블루펄2019-10-08숙박업(생활)울산광역시 중구 학성로 30, 블루펄 (성남동)울산광역시 중구 성남동 311-3<NA>2023-09-19
95진모텔2021-05-12숙박업(생활)울산광역시 중구 중앙길 30, 2,3,4층 (성남동)울산광역시 중구 성남동 190-76 2,3,4층<NA>2023-09-19