Overview

Dataset statistics

Number of variables8
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory67.4 B

Variable types

Numeric1
Categorical3
Text4

Dataset

Description울산광역시 중구에서 지정한 울산큰애기맛집 현황에 대한 데이터정보로 시군구명, 업소명, 도로명주소, 업소 전화번호, 음식메뉴, 지정업소 전화번호 등의 데이터를 제공하고 있습니다
Author울산광역시 중구
URLhttps://www.data.go.kr/data/15107154/fileData.do

Alerts

시군구명 has constant value ""Constant
지정부서 전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업소명 has unique valuesUnique
도로명주소 has unique valuesUnique
업소 전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:16:11.042585
Analysis finished2023-12-12 00:16:11.784643
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-12T09:16:11.881321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2023-12-12T09:16:12.056876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
울산광역시 중구
54 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울산광역시 중구
2nd row울산광역시 중구
3rd row울산광역시 중구
4th row울산광역시 중구
5th row울산광역시 중구

Common Values

ValueCountFrequency (%)
울산광역시 중구 54
100.0%

Length

2023-12-12T09:16:12.260313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:16:12.387599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 54
50.0%
중구 54
50.0%

업소명
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T09:16:12.689400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.462963
Min length2

Characters and Unicode

Total characters295
Distinct characters153
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

Unique54 ?
Unique (%)100.0%

Sample

1st row궁중삼계탕
2nd row목토숯불갈비
3rd row청한옥
4th row성안마실
5th row무주골
ValueCountFrequency (%)
궁중삼계탕 1
 
1.7%
5시5막창 1
 
1.7%
금천면관 1
 
1.7%
가미닭갈비913 1
 
1.7%
장원보쌈 1
 
1.7%
할머니의 1
 
1.7%
손두부 1
 
1.7%
태양칼국수 1
 
1.7%
성안쌈밥 1
 
1.7%
신사동족발 1
 
1.7%
Other values (49) 49
83.1%
2023-12-12T09:16:13.274661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 7
 
2.4%
가 7
 
2.4%
비 6
 
2.0%
밥 6
 
2.0%
5
 
1.7%
갈 5
 
1.7%
수 5
 
1.7%
미 5
 
1.7%
장 5
 
1.7%
천 5
 
1.7%
Other values (143) 239
81.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 280
94.9%
Decimal Number 10
 
3.4%
Space Separator 5
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 7
 
2.5%
가 7
 
2.5%
비 6
 
2.1%
밥 6
 
2.1%
갈 5
 
1.8%
수 5
 
1.8%
미 5
 
1.8%
장 5
 
1.8%
천 5
 
1.8%
칼 4
 
1.4%
Other values (136) 225
80.4%
Decimal Number
ValueCountFrequency (%)
5 4
40.0%
1 2
20.0%
3 1
 
10.0%
8 1
 
10.0%
9 1
 
10.0%
2 1
 
10.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 280
94.9%
Common 15
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 7
 
2.5%
가 7
 
2.5%
비 6
 
2.1%
밥 6
 
2.1%
갈 5
 
1.8%
수 5
 
1.8%
미 5
 
1.8%
장 5
 
1.8%
천 5
 
1.8%
칼 4
 
1.4%
Other values (136) 225
80.4%
Common
ValueCountFrequency (%)
5
33.3%
5 4
26.7%
1 2
 
13.3%
3 1
 
6.7%
8 1
 
6.7%
9 1
 
6.7%
2 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 280
94.9%
ASCII 15
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 7
 
2.5%
가 7
 
2.5%
비 6
 
2.1%
밥 6
 
2.1%
갈 5
 
1.8%
수 5
 
1.8%
미 5
 
1.8%
장 5
 
1.8%
천 5
 
1.8%
칼 4
 
1.4%
Other values (136) 225
80.4%
ASCII
ValueCountFrequency (%)
5
33.3%
5 4
26.7%
1 2
 
13.3%
3 1
 
6.7%
8 1
 
6.7%
9 1
 
6.7%
2 1
 
6.7%

도로명주소
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T09:16:13.657550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length17.925926
Min length14

Characters and Unicode

Total characters968
Distinct characters85
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row울산광역시 중구 먹자거리 6
2nd row울산광역시 중구 해오름8길 65
3rd row울산광역시 중구 종가8길 26, 4층
4th row울산광역시 중구 성안14길 10
5th row울산광역시 중구 종가6길 32, 6층 601호
ValueCountFrequency (%)
울산광역시 54
23.7%
중구 54
23.7%
태화강국가정원길 5
 
2.2%
29 3
 
1.3%
32 3
 
1.3%
50 2
 
0.9%
5 2
 
0.9%
백양로 2
 
0.9%
종가6길 2
 
0.9%
44 2
 
0.9%
Other values (91) 99
43.4%
2023-12-12T09:16:14.210417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
174
18.0%
산 59
 
6.1%
구 58
 
6.0%
시 56
 
5.8%
중 56
 
5.8%
울 54
 
5.6%
광 54
 
5.6%
역 54
 
5.6%
1 40
 
4.1%
길 38
 
3.9%
Other values (75) 325
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 601
62.1%
Decimal Number 179
 
18.5%
Space Separator 174
 
18.0%
Other Punctuation 7
 
0.7%
Dash Punctuation 6
 
0.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 59
 
9.8%
구 58
 
9.7%
시 56
 
9.3%
중 56
 
9.3%
울 54
 
9.0%
광 54
 
9.0%
역 54
 
9.0%
길 38
 
6.3%
가 11
 
1.8%
로 11
 
1.8%
Other values (61) 150
25.0%
Decimal Number
ValueCountFrequency (%)
1 40
22.3%
2 32
17.9%
6 22
12.3%
5 18
10.1%
4 16
 
8.9%
3 15
 
8.4%
0 12
 
6.7%
8 9
 
5.0%
9 8
 
4.5%
7 7
 
3.9%
Space Separator
ValueCountFrequency (%)
174
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 601
62.1%
Common 367
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 59
 
9.8%
구 58
 
9.7%
시 56
 
9.3%
중 56
 
9.3%
울 54
 
9.0%
광 54
 
9.0%
역 54
 
9.0%
길 38
 
6.3%
가 11
 
1.8%
로 11
 
1.8%
Other values (61) 150
25.0%
Common
ValueCountFrequency (%)
174
47.4%
1 40
 
10.9%
2 32
 
8.7%
6 22
 
6.0%
5 18
 
4.9%
4 16
 
4.4%
3 15
 
4.1%
0 12
 
3.3%
8 9
 
2.5%
9 8
 
2.2%
Other values (4) 21
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 601
62.1%
ASCII 367
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
174
47.4%
1 40
 
10.9%
2 32
 
8.7%
6 22
 
6.0%
5 18
 
4.9%
4 16
 
4.4%
3 15
 
4.1%
0 12
 
3.3%
8 9
 
2.5%
9 8
 
2.2%
Other values (4) 21
 
5.7%
Hangul
ValueCountFrequency (%)
산 59
 
9.8%
구 58
 
9.7%
시 56
 
9.3%
중 56
 
9.3%
울 54
 
9.0%
광 54
 
9.0%
역 54
 
9.0%
길 38
 
6.3%
가 11
 
1.8%
로 11
 
1.8%
Other values (61) 150
25.0%

업소 전화번호
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T09:16:14.496397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.148148
Min length12

Characters and Unicode

Total characters656
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

Unique54 ?
Unique (%)100.0%

Sample

1st row052-244-1156
2nd row052-298-9592
3rd row052-294-3007
4th row052-245-5156
5th row052-243-2842
ValueCountFrequency (%)
052-244-1156 1
 
1.9%
052-297-8288 1
 
1.9%
052-292-3337 1
 
1.9%
052-245-3007 1
 
1.9%
052-260-0852 1
 
1.9%
052-224-0393 1
 
1.9%
052-988-2788 1
 
1.9%
052-288-9803 1
 
1.9%
052-298-3311 1
 
1.9%
052-292-5506 1
 
1.9%
Other values (44) 44
81.5%
2023-12-12T09:16:14.983933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 136
20.7%
- 108
16.5%
0 99
15.1%
5 81
12.3%
8 43
 
6.6%
4 39
 
5.9%
9 39
 
5.9%
3 35
 
5.3%
7 28
 
4.3%
1 24
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 548
83.5%
Dash Punctuation 108
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 136
24.8%
0 99
18.1%
5 81
14.8%
8 43
 
7.8%
4 39
 
7.1%
9 39
 
7.1%
3 35
 
6.4%
7 28
 
5.1%
1 24
 
4.4%
6 24
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 656
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 136
20.7%
- 108
16.5%
0 99
15.1%
5 81
12.3%
8 43
 
6.6%
4 39
 
5.9%
9 39
 
5.9%
3 35
 
5.3%
7 28
 
4.3%
1 24
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 136
20.7%
- 108
16.5%
0 99
15.1%
5 81
12.3%
8 43
 
6.6%
4 39
 
5.9%
9 39
 
5.9%
3 35
 
5.3%
7 28
 
4.3%
1 24
 
3.7%

음식메뉴
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T09:16:15.338368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length16
Mean length11.518519
Min length3

Characters and Unicode

Total characters622
Distinct characters163
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

Unique52 ?
Unique (%)96.3%

Sample

1st row삼계탕+ 전복삼계탕
2nd row갈치쌈밥+ 돼지갈비
3rd row회냉면+ 갈비찜 정식
4th row오리불고기+ 능이백숙
5th row장어구이
ValueCountFrequency (%)
돼지갈비 4
 
3.5%
탕수육 3
 
2.6%
삼겹살 3
 
2.6%
해물순두부 2
 
1.8%
굴전 2
 
1.8%
꼬들목살 2
 
1.8%
굴국밥 2
 
1.8%
칼국수 2
 
1.8%
짜장면 2
 
1.8%
삼계탕 2
 
1.8%
Other values (88) 90
78.9%
2023-12-12T09:16:15.810060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
 
9.8%
+ 59
 
9.5%
국 21
 
3.4%
수 20
 
3.2%
비 16
 
2.6%
지 12
 
1.9%
밥 12
 
1.9%
갈 11
 
1.8%
리 11
 
1.8%
칼 11
 
1.8%
Other values (153) 388
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 496
79.7%
Space Separator 61
 
9.8%
Math Symbol 59
 
9.5%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 21
 
4.2%
수 20
 
4.0%
비 16
 
3.2%
지 12
 
2.4%
밥 12
 
2.4%
갈 11
 
2.2%
리 11
 
2.2%
칼 11
 
2.2%
탕 10
 
2.0%
삼 10
 
2.0%
Other values (149) 362
73.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Math Symbol
ValueCountFrequency (%)
+ 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 496
79.7%
Common 126
 
20.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 21
 
4.2%
수 20
 
4.0%
비 16
 
3.2%
지 12
 
2.4%
밥 12
 
2.4%
갈 11
 
2.2%
리 11
 
2.2%
칼 11
 
2.2%
탕 10
 
2.0%
삼 10
 
2.0%
Other values (149) 362
73.0%
Common
ValueCountFrequency (%)
61
48.4%
+ 59
46.8%
) 3
 
2.4%
( 3
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 496
79.7%
ASCII 126
 
20.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
48.4%
+ 59
46.8%
) 3
 
2.4%
( 3
 
2.4%
Hangul
ValueCountFrequency (%)
국 21
 
4.2%
수 20
 
4.0%
비 16
 
3.2%
지 12
 
2.4%
밥 12
 
2.4%
갈 11
 
2.2%
리 11
 
2.2%
칼 11
 
2.2%
탕 10
 
2.0%
삼 10
 
2.0%
Other values (149) 362
73.0%

지정부서 전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
052-290-3730
54 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row052-290-3730
2nd row052-290-3730
3rd row052-290-3730
4th row052-290-3730
5th row052-290-3730

Common Values

ValueCountFrequency (%)
052-290-3730 54
100.0%

Length

2023-12-12T09:16:15.983031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:16:16.107145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
052-290-3730 54
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-10-06
54 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-06
2nd row2023-10-06
3rd row2023-10-06
4th row2023-10-06
5th row2023-10-06

Common Values

ValueCountFrequency (%)
2023-10-06 54
100.0%

Length

2023-12-12T09:16:16.233769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:16:16.359701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-06 54
100.0%

Interactions

2023-12-12T09:16:11.427600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:16:16.438791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명도로명주소업소 전화번호음식메뉴
연번1.0001.0001.0001.0000.935
업소명1.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.000
업소 전화번호1.0001.0001.0001.0001.000
음식메뉴0.9351.0001.0001.0001.000

Missing values

2023-12-12T09:16:11.545493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:16:11.715176image/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

연번시군구명업소명도로명주소업소 전화번호음식메뉴지정부서 전화번호데이터기준일자
01울산광역시 중구궁중삼계탕울산광역시 중구 먹자거리 6052-244-1156삼계탕+ 전복삼계탕052-290-37302023-10-06
12울산광역시 중구목토숯불갈비울산광역시 중구 해오름8길 65052-298-9592갈치쌈밥+ 돼지갈비052-290-37302023-10-06
23울산광역시 중구청한옥울산광역시 중구 종가8길 26, 4층052-294-3007회냉면+ 갈비찜 정식052-290-37302023-10-06
34울산광역시 중구성안마실울산광역시 중구 성안14길 10052-245-5156오리불고기+ 능이백숙052-290-37302023-10-06
45울산광역시 중구무주골울산광역시 중구 종가6길 32, 6층 601호052-243-2842장어구이052-290-37302023-10-06
56울산광역시 중구명정대숲갈비울산광역시 중구 오산3길 76052-249-5100돼지갈비+ 청국장052-290-37302023-10-06
67울산광역시 중구백악산삼계탕울산광역시 중구 먹자거리 29052-211-1867삼계탕+ 옻삼계탕052-290-37302023-10-06
78울산광역시 중구용궁울산광역시 중구 화합로 371052-292-0070탕수육+ 짜장면+ 볶음짬뽕052-290-37302023-10-06
89울산광역시 중구화목숯불갈비울산광역시 중구 구교14길 12052-291-2440쌈밥정식+ 돼지갈비052-290-37302023-10-06
910울산광역시 중구연가네추어칼제비울산광역시 중구 백양로 52052-246-8877추어칼제비+ 얼큰손칼국수052-290-37302023-10-06
연번시군구명업소명도로명주소업소 전화번호음식메뉴지정부서 전화번호데이터기준일자
4445울산광역시 중구복산돈까스울산광역시 중구 손골2길 17-6052-298-4623특일식돈까스+ 경양식돈까스052-290-37302023-10-06
4546울산광역시 중구85포크울산광역시 중구 계변고개 143052-294-9008칼집목살+ 칼집삼겹살+ 돼지갈비052-290-37302023-10-06
4647울산광역시 중구정원울산광역시 중구 옹수골길 64052-975-0170삼겹살+ 꼬들목살052-290-37302023-10-06
4748울산광역시 중구남강민물매운장어탕울산광역시 중구 곽남7길 39052-222-4114빠가사리매운탕+ 어탕수제비052-290-37302023-10-06
4849울산광역시 중구울산국수전문점울산광역시 중구 반구정1안길 50050-7715-6906들깨칼국수+ 코다리비빔국수052-290-37302023-10-06
4950울산광역시 중구태화강순두부울산광역시 중구 오산5길 21052-249-5285해물순두부+ 청국순두부052-290-37302023-10-06
5051울산광역시 중구정이든보쌈울산광역시 중구 함월12길 32052-232-1003(마늘)보쌈+ 쟁반막국수052-290-37302023-10-06
5152울산광역시 중구강변수구레국밥울산광역시 중구 태화강국가정원길 135052-223-2100수구레국밥+ 선지국밥052-290-37302023-10-06
5253울산광역시 중구금천면관울산광역시 중구 병영로 44052-292-3337금천짬뽕+ 자장면+ 탕수육052-290-37302023-10-06
5354울산광역시 중구미친미역울산광역시 중구 종가5길 90052-246-9921한우미역국+ 가자미미역국052-290-37302023-10-06