Overview

Dataset statistics

Number of variables7
Number of observations163
Missing cells31
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory56.8 B

Variable types

Text4
Categorical2
DateTime1

Dataset

Description경상남도 의령군 담배소매인 지정현황에 대한 데이터입니다. 업소명과 업소의 지번주소, 도로명주소, 업소 전화번호와 지정일자, 현재 영업구분(상태)를 제공합니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15024794

Alerts

영업구분 has constant value ""Constant
데이터기준일 has constant value ""Constant
전화번호 has 31 (19.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 22:45:06.647110
Analysis finished2023-12-10 22:45:07.069769
Duration0.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct127
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T07:45:07.251608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length5.3006135
Min length2

Characters and Unicode

Total characters864
Distinct characters200
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)75.5%

Sample

1st row동부농협 낙서지점
2nd row옛날캔터키통닭
3rd row신통방통국밥
4th rowCU의령서동원룸점
5th row벽계야영장
ValueCountFrequency (%)
상호없음 27
 
14.9%
잡화 10
 
5.5%
씨유 3
 
1.7%
세븐일레븐 3
 
1.7%
경산상회 2
 
1.1%
잡화점 2
 
1.1%
의령중동점 2
 
1.1%
gs25 2
 
1.1%
동부농협 2
 
1.1%
용덕가든 1
 
0.6%
Other values (127) 127
70.2%
2023-12-11T07:45:07.629551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 48
 
5.6%
의 31
 
3.6%
점 29
 
3.4%
호 29
 
3.4%
음 28
 
3.2%
없 27
 
3.1%
령 25
 
2.9%
회 24
 
2.8%
동 20
 
2.3%
18
 
2.1%
Other values (190) 585
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 817
94.6%
Space Separator 18
 
2.1%
Uppercase Letter 16
 
1.9%
Decimal Number 10
 
1.2%
Dash Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 48
 
5.9%
의 31
 
3.8%
점 29
 
3.5%
호 29
 
3.5%
음 28
 
3.4%
없 27
 
3.3%
령 25
 
3.1%
회 24
 
2.9%
동 20
 
2.4%
마 18
 
2.2%
Other values (177) 538
65.9%
Uppercase Letter
ValueCountFrequency (%)
G 4
25.0%
C 4
25.0%
S 4
25.0%
U 2
12.5%
K 1
 
6.2%
D 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 5
50.0%
5 4
40.0%
4 1
 
10.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 817
94.6%
Common 31
 
3.6%
Latin 16
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 48
 
5.9%
의 31
 
3.8%
점 29
 
3.5%
호 29
 
3.5%
음 28
 
3.4%
없 27
 
3.3%
령 25
 
3.1%
회 24
 
2.9%
동 20
 
2.4%
마 18
 
2.2%
Other values (177) 538
65.9%
Common
ValueCountFrequency (%)
18
58.1%
2 5
 
16.1%
5 4
 
12.9%
- 1
 
3.2%
4 1
 
3.2%
) 1
 
3.2%
( 1
 
3.2%
Latin
ValueCountFrequency (%)
G 4
25.0%
C 4
25.0%
S 4
25.0%
U 2
12.5%
K 1
 
6.2%
D 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 817
94.6%
ASCII 47
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 48
 
5.9%
의 31
 
3.8%
점 29
 
3.5%
호 29
 
3.5%
음 28
 
3.4%
없 27
 
3.3%
령 25
 
3.1%
회 24
 
2.9%
동 20
 
2.4%
마 18
 
2.2%
Other values (177) 538
65.9%
ASCII
ValueCountFrequency (%)
18
38.3%
2 5
 
10.6%
G 4
 
8.5%
C 4
 
8.5%
5 4
 
8.5%
S 4
 
8.5%
U 2
 
4.3%
K 1
 
2.1%
- 1
 
2.1%
4 1
 
2.1%
Other values (3) 3
 
6.4%

업소지번주소
Text

Distinct154
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T07:45:07.930289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length35
Mean length22.883436
Min length1

Characters and Unicode

Total characters3730
Distinct characters124
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)93.9%

Sample

1st row경상남도 의령군 낙서면 전화리 219번지 1호
2nd row경상남도 의령군 의령읍 중동리 411번지 1호 상가
3rd row경상남도 의령군 정곡면 석곡리 176번지 1호
4th row경상남도 의령군 의령읍 서동리 499번지 24호 하은빌
5th row경상남도 의령군 궁류면 벽계리 379번지
ValueCountFrequency (%)
경상남도 153
 
17.3%
의령군 153
 
17.3%
의령읍 47
 
5.3%
1호 23
 
2.6%
부림면 20
 
2.3%
2호 17
 
1.9%
신반리 17
 
1.9%
서동리 15
 
1.7%
중동리 13
 
1.5%
동동리 13
 
1.5%
Other values (255) 412
46.7%
2023-12-11T07:45:08.384818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
746
20.0%
의 208
 
5.6%
령 200
 
5.4%
상 162
 
4.3%
경 154
 
4.1%
리 154
 
4.1%
남 153
 
4.1%
도 153
 
4.1%
군 153
 
4.1%
호 143
 
3.8%
Other values (114) 1504
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2379
63.8%
Space Separator 746
 
20.0%
Decimal Number 594
 
15.9%
Dash Punctuation 9
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 208
 
8.7%
령 200
 
8.4%
상 162
 
6.8%
경 154
 
6.5%
리 154
 
6.5%
남 153
 
6.4%
도 153
 
6.4%
군 153
 
6.4%
호 143
 
6.0%
면 106
 
4.5%
Other values (100) 793
33.3%
Decimal Number
ValueCountFrequency (%)
1 106
17.8%
2 86
14.5%
4 80
13.5%
3 77
13.0%
5 50
8.4%
8 45
7.6%
9 40
 
6.7%
6 38
 
6.4%
7 36
 
6.1%
0 36
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
U 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
746
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2379
63.8%
Common 1349
36.2%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 208
 
8.7%
령 200
 
8.4%
상 162
 
6.8%
경 154
 
6.5%
리 154
 
6.5%
남 153
 
6.4%
도 153
 
6.4%
군 153
 
6.4%
호 143
 
6.0%
면 106
 
4.5%
Other values (100) 793
33.3%
Common
ValueCountFrequency (%)
746
55.3%
1 106
 
7.9%
2 86
 
6.4%
4 80
 
5.9%
3 77
 
5.7%
5 50
 
3.7%
8 45
 
3.3%
9 40
 
3.0%
6 38
 
2.8%
7 36
 
2.7%
Other values (2) 45
 
3.3%
Latin
ValueCountFrequency (%)
U 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2379
63.8%
ASCII 1351
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
746
55.2%
1 106
 
7.8%
2 86
 
6.4%
4 80
 
5.9%
3 77
 
5.7%
5 50
 
3.7%
8 45
 
3.3%
9 40
 
3.0%
6 38
 
2.8%
7 36
 
2.7%
Other values (4) 47
 
3.5%
Hangul
ValueCountFrequency (%)
의 208
 
8.7%
령 200
 
8.4%
상 162
 
6.8%
경 154
 
6.5%
리 154
 
6.5%
남 153
 
6.4%
도 153
 
6.4%
군 153
 
6.4%
호 143
 
6.0%
면 106
 
4.5%
Other values (100) 793
33.3%

업소도로명주소
Text

Distinct160
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T07:45:08.696425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length21.760736
Min length18

Characters and Unicode

Total characters3547
Distinct characters118
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)96.3%

Sample

1st row경상남도 의령군 낙서면 낙서로 523
2nd row경상남도 의령군 의령읍 충익로 32. 상가
3rd row경상남도 의령군 정곡면 의합대로 1157
4th row경상남도 의령군 의령읍 의병로14길 20-1. 하은빌
5th row경상남도 의령군 궁류면 벽계로 201
ValueCountFrequency (%)
경상남도 163
19.6%
의령군 163
19.6%
의령읍 51
 
6.1%
부림면 22
 
2.6%
가례면 12
 
1.4%
대한로 11
 
1.3%
화정면 11
 
1.3%
정곡면 10
 
1.2%
용덕면 10
 
1.2%
의병로 8
 
1.0%
Other values (247) 372
44.7%
2023-12-11T07:45:09.108712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
670
18.9%
의 276
 
7.8%
령 215
 
6.1%
남 171
 
4.8%
상 166
 
4.7%
경 164
 
4.6%
도 164
 
4.6%
군 163
 
4.6%
로 155
 
4.4%
1 123
 
3.5%
Other values (108) 1280
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2246
63.3%
Space Separator 670
 
18.9%
Decimal Number 549
 
15.5%
Dash Punctuation 58
 
1.6%
Other Punctuation 8
 
0.2%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 276
12.3%
령 215
 
9.6%
남 171
 
7.6%
상 166
 
7.4%
경 164
 
7.3%
도 164
 
7.3%
군 163
 
7.3%
로 155
 
6.9%
면 112
 
5.0%
길 64
 
2.8%
Other values (91) 596
26.5%
Decimal Number
ValueCountFrequency (%)
1 123
22.4%
2 97
17.7%
3 59
10.7%
4 47
 
8.6%
7 46
 
8.4%
6 45
 
8.2%
9 38
 
6.9%
5 34
 
6.2%
0 33
 
6.0%
8 27
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
U 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
670
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2246
63.3%
Common 1299
36.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 276
12.3%
령 215
 
9.6%
남 171
 
7.6%
상 166
 
7.4%
경 164
 
7.3%
도 164
 
7.3%
군 163
 
7.3%
로 155
 
6.9%
면 112
 
5.0%
길 64
 
2.8%
Other values (91) 596
26.5%
Common
ValueCountFrequency (%)
670
51.6%
1 123
 
9.5%
2 97
 
7.5%
3 59
 
4.5%
- 58
 
4.5%
4 47
 
3.6%
7 46
 
3.5%
6 45
 
3.5%
9 38
 
2.9%
5 34
 
2.6%
Other values (5) 82
 
6.3%
Latin
ValueCountFrequency (%)
U 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2246
63.3%
ASCII 1301
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
670
51.5%
1 123
 
9.5%
2 97
 
7.5%
3 59
 
4.5%
- 58
 
4.5%
4 47
 
3.6%
7 46
 
3.5%
6 45
 
3.5%
9 38
 
2.9%
5 34
 
2.6%
Other values (7) 84
 
6.5%
Hangul
ValueCountFrequency (%)
의 276
12.3%
령 215
 
9.6%
남 171
 
7.6%
상 166
 
7.4%
경 164
 
7.3%
도 164
 
7.3%
군 163
 
7.3%
로 155
 
6.9%
면 112
 
5.0%
길 64
 
2.8%
Other values (91) 596
26.5%

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
정상영업
163 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 163
100.0%

Length

2023-12-11T07:45:09.244415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:45:09.330235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 163
100.0%

전화번호
Text

MISSING 

Distinct126
Distinct (%)95.5%
Missing31
Missing (%)19.0%
Memory size1.4 KiB
2023-12-11T07:45:09.532599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.666667
Min length1

Characters and Unicode

Total characters1540
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)92.4%

Sample

1st row055-572-7018
2nd row055-573-9283
3rd row055-572-3207
4th row055-573-2312
5th row055-574-4289
ValueCountFrequency (%)
055-572-8096 2
 
1.6%
055-573-3939 2
 
1.6%
055-573-8602 2
 
1.6%
055-572-6142 1
 
0.8%
055-573-0289 1
 
0.8%
055-572-3928 1
 
0.8%
055-572-6633 1
 
0.8%
055-573-2067 1
 
0.8%
055-573-0436 1
 
0.8%
055-572-7250 1
 
0.8%
Other values (115) 115
89.8%
2023-12-11T07:45:09.867588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 444
28.8%
- 256
16.6%
0 192
12.5%
7 170
 
11.0%
2 113
 
7.3%
3 112
 
7.3%
6 56
 
3.6%
4 55
 
3.6%
8 47
 
3.1%
1 46
 
3.0%
Other values (2) 49
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1280
83.1%
Dash Punctuation 256
 
16.6%
Space Separator 4
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 444
34.7%
0 192
15.0%
7 170
 
13.3%
2 113
 
8.8%
3 112
 
8.8%
6 56
 
4.4%
4 55
 
4.3%
8 47
 
3.7%
1 46
 
3.6%
9 45
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 256
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1540
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 444
28.8%
- 256
16.6%
0 192
12.5%
7 170
 
11.0%
2 113
 
7.3%
3 112
 
7.3%
6 56
 
3.6%
4 55
 
3.6%
8 47
 
3.1%
1 46
 
3.0%
Other values (2) 49
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 444
28.8%
- 256
16.6%
0 192
12.5%
7 170
 
11.0%
2 113
 
7.3%
3 112
 
7.3%
6 56
 
3.6%
4 55
 
3.6%
8 47
 
3.1%
1 46
 
3.0%
Other values (2) 49
 
3.2%

지정일자
Date

Distinct150
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum1971-02-08 00:00:00
Maximum2019-06-25 00:00:00
2023-12-11T07:45:09.988931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:45:10.110225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2019-07-05
163 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-07-05
2nd row2019-07-05
3rd row2019-07-05
4th row2019-07-05
5th row2019-07-05

Common Values

ValueCountFrequency (%)
2019-07-05 163
100.0%

Length

2023-12-11T07:45:10.218708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:45:10.296487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-07-05 163
100.0%

Missing values

2023-12-11T07:45:06.937863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:45:07.031039image/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

업소명업소지번주소업소도로명주소영업구분전화번호지정일자데이터기준일
0동부농협 낙서지점경상남도 의령군 낙서면 전화리 219번지 1호경상남도 의령군 낙서면 낙서로 523정상영업055-572-70182019-06-252019-07-05
1옛날캔터키통닭경상남도 의령군 의령읍 중동리 411번지 1호 상가경상남도 의령군 의령읍 충익로 32. 상가정상영업055-573-92832019-06-202019-07-05
2신통방통국밥경상남도 의령군 정곡면 석곡리 176번지 1호경상남도 의령군 정곡면 의합대로 1157정상영업<NA>2019-05-312019-07-05
3CU의령서동원룸점경상남도 의령군 의령읍 서동리 499번지 24호 하은빌경상남도 의령군 의령읍 의병로14길 20-1. 하은빌정상영업<NA>2019-06-052019-07-05
4벽계야영장경상남도 의령군 궁류면 벽계리 379번지경상남도 의령군 궁류면 벽계로 201정상영업<NA>2019-04-122019-07-05
5GS25 의령도서관점경상남도 의령군 의령읍 동동리 940번지 1호 우리아트빌 에이동 102호경상남도 의령군 의령읍 의병로25길 13. 에이동 1층 102호 (우리아트빌)정상영업<NA>2019-03-262019-07-05
6성당편의점경상남도 의령군 지정면 성당리 591번지 4호 슈퍼경상남도 의령군 지정면 강변로 502. 슈퍼정상영업<NA>2019-02-232019-07-05
7동부농협 봉수지점경상남도 의령군 봉수면 죽전리 401번지 1호경상남도 의령군 봉수면 대한로 1203정상영업055-572-32072019-01-162019-07-05
8서암초원다방경상남도 의령군 봉수면 서암리 402번지 2호 서암이발관경상남도 의령군 봉수면 청계로 2. 서암이발관정상영업<NA>2018-09-102019-07-05
9의령축산업협동조합경상남도 의령군 용덕면 교암리 285번지 1호경상남도 의령군 용덕면 소상로 14정상영업055-573-23122018-08-102019-07-05
업소명업소지번주소업소도로명주소영업구분전화번호지정일자데이터기준일
153잡화경상남도 의령군 화정면 상정리 512번지 1호경상남도 의령군 화정면 화정로 291정상영업055-572-40531986-09-042019-07-05
154상호없음경상남도 의령군 용덕면 이목리 220호경상남도 의령군 용덕면 덕암로 615정상영업055-574-21151984-03-152019-07-05
155상호없음경상남도 의령군 화정면 상정리 411호경상남도 의령군 화정면 화정로2길 20정상영업055-572-40781983-07-292019-07-05
156잡화경상남도 의령군 정곡면 중교리 718호경상남도 의령군 정곡면 호암길 21-6정상영업055-572-47701982-07-202019-07-05
157잡화경상남도 의령군 가례면 운암리 148번지 9호 7통 2반경상남도 의령군 가례면 운암로 45정상영업055-573-35611981-05-192019-07-05
158구판장경상남도 의령군 가례면 괴진리 369호경상남도 의령군 가례면 가례로 355정상영업055-573-35421980-12-202019-07-05
159정유소경상남도 의령군 칠곡면 외조리 107호경상남도 의령군 칠곡면 칠곡로 29정상영업055-572-35631980-12-202019-07-05
160당동슈퍼경상남도 의령군 궁류면 토곡리 158번지 1호경상남도 의령군 궁류면 궁류로 162정상영업055-572-80961973-08-092019-07-05
161마을슈퍼경상남도 의령군 궁류면 운계리 373호경상남도 의령군 궁류면 운계로1길 19-1정상영업055-572-80961971-02-082019-07-05
162잡화경상남도 의령군 화정면 상정리 607번지 4호 4통 2반경상남도 의령군 화정면 화정로3길 6-22정상영업055-572-42091971-02-082019-07-05