Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory556.6 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Categorical3
Text2

Dataset

Description일반음식점(김밥(도시락), 복어취급, 뷔페식, 일식, 정종·대포집(선술집), 중국식, 출장조리, 탕류 등) 관련 정보입니다.
Author경상남도
URLhttps://www.data.go.kr/data/15069262/fileData.do

Alerts

업종 has constant value ""Constant
연번 is highly overall correlated with 인허가관할기관High correlation
인허가관할기관 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:19:56.414632
Analysis finished2023-12-11 23:19:57.681112
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25190.867
Minimum6
Maximum50316
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T08:19:57.738150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile2565.95
Q112573.75
median25200.5
Q337691.5
95-th percentile47810.1
Maximum50316
Range50310
Interquartile range (IQR)25117.75

Descriptive statistics

Standard deviation14503.775
Coefficient of variation (CV)0.5757553
Kurtosis-1.1983244
Mean25190.867
Median Absolute Deviation (MAD)12556
Skewness0.0027204017
Sum2.5190867 × 108
Variance2.1035949 × 108
MonotonicityNot monotonic
2023-12-12T08:19:57.851215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1110 1
 
< 0.1%
29054 1
 
< 0.1%
20886 1
 
< 0.1%
34898 1
 
< 0.1%
7455 1
 
< 0.1%
47441 1
 
< 0.1%
2888 1
 
< 0.1%
2995 1
 
< 0.1%
4143 1
 
< 0.1%
38345 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
6 1
< 0.1%
7 1
< 0.1%
15 1
< 0.1%
25 1
< 0.1%
27 1
< 0.1%
28 1
< 0.1%
35 1
< 0.1%
37 1
< 0.1%
38 1
< 0.1%
40 1
< 0.1%
ValueCountFrequency (%)
50316 1
< 0.1%
50293 1
< 0.1%
50289 1
< 0.1%
50287 1
< 0.1%
50285 1
< 0.1%
50276 1
< 0.1%
50275 1
< 0.1%
50273 1
< 0.1%
50270 1
< 0.1%
50266 1
< 0.1%

인허가관할기관
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
김해시
1534 
진주시
1113 
양산시
1008 
거제시
830 
창원시 마산합포구
611 
Other values (17)
4904 

Length

Max length9
Median length3
Mean length4.3074
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row창원시 마산합포구
2nd row창원시 의창구
3rd row김해시
4th row창원시 성산구
5th row진주시

Common Values

ValueCountFrequency (%)
김해시 1534
15.3%
진주시 1113
11.1%
양산시 1008
10.1%
거제시 830
 
8.3%
창원시 마산합포구 611
 
6.1%
창원시 성산구 601
 
6.0%
창원시 진해구 597
 
6.0%
창원시 의창구 506
 
5.1%
통영시 445
 
4.5%
창원시 마산회원구 432
 
4.3%
Other values (12) 2323
23.2%

Length

2023-12-12T08:19:57.962488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 2747
21.6%
김해시 1534
12.0%
진주시 1113
8.7%
양산시 1008
 
7.9%
거제시 830
 
6.5%
마산합포구 611
 
4.8%
성산구 601
 
4.7%
진해구 597
 
4.7%
의창구 506
 
4.0%
통영시 445
 
3.5%
Other values (13) 2755
21.6%

업소명
Text

Distinct9399
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:19:58.213455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length31
Mean length6.1493
Min length1

Characters and Unicode

Total characters61493
Distinct characters1043
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8984 ?
Unique (%)89.8%

Sample

1st row솥닭솥닭
2nd row청년피자
3rd row한울숯불뒷고기생삼겹
4th row남도시골밥상
5th row우담정식당
ValueCountFrequency (%)
장유점 18
 
0.2%
간이역 14
 
0.1%
양산점 14
 
0.1%
처갓집양념치킨 14
 
0.1%
고현점 13
 
0.1%
bar 13
 
0.1%
김해장유점 13
 
0.1%
맘스터치 12
 
0.1%
본점 11
 
0.1%
김해점 11
 
0.1%
Other values (9937) 11607
98.9%
2023-12-12T08:19:58.585529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 1814
 
2.9%
1743
 
2.8%
식 1427
 
2.3%
당 1124
 
1.8%
이 1075
 
1.7%
리 838
 
1.4%
가 723
 
1.2%
집 720
 
1.2%
장 677
 
1.1%
국 648
 
1.1%
Other values (1033) 50704
82.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55791
90.7%
Space Separator 1743
 
2.8%
Uppercase Letter 1041
 
1.7%
Lowercase Letter 880
 
1.4%
Decimal Number 662
 
1.1%
Open Punctuation 561
 
0.9%
Close Punctuation 561
 
0.9%
Other Punctuation 235
 
0.4%
Dash Punctuation 12
 
< 0.1%
Math Symbol 4
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1814
 
3.3%
식 1427
 
2.6%
당 1124
 
2.0%
이 1075
 
1.9%
리 838
 
1.5%
가 723
 
1.3%
집 720
 
1.3%
장 677
 
1.2%
국 648
 
1.2%
밥 647
 
1.2%
Other values (952) 46098
82.6%
Uppercase Letter
ValueCountFrequency (%)
A 101
 
9.7%
B 92
 
8.8%
O 85
 
8.2%
C 84
 
8.1%
H 62
 
6.0%
E 62
 
6.0%
N 50
 
4.8%
R 46
 
4.4%
S 44
 
4.2%
T 43
 
4.1%
Other values (16) 372
35.7%
Lowercase Letter
ValueCountFrequency (%)
e 125
14.2%
o 91
 
10.3%
a 91
 
10.3%
r 57
 
6.5%
i 49
 
5.6%
n 47
 
5.3%
s 47
 
5.3%
l 43
 
4.9%
c 43
 
4.9%
t 40
 
4.5%
Other values (15) 247
28.1%
Decimal Number
ValueCountFrequency (%)
1 147
22.2%
0 104
15.7%
2 88
13.3%
8 57
 
8.6%
3 50
 
7.6%
9 48
 
7.3%
7 47
 
7.1%
5 46
 
6.9%
4 44
 
6.6%
6 31
 
4.7%
Other Punctuation
ValueCountFrequency (%)
& 128
54.5%
. 38
 
16.2%
, 36
 
15.3%
' 12
 
5.1%
· 7
 
3.0%
/ 4
 
1.7%
! 4
 
1.7%
: 3
 
1.3%
# 2
 
0.9%
＆ 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 560
99.8%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 560
99.8%
] 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1743
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55752
90.7%
Common 3781
 
6.1%
Latin 1921
 
3.1%
Han 35
 
0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1814
 
3.3%
식 1427
 
2.6%
당 1124
 
2.0%
이 1075
 
1.9%
리 838
 
1.5%
가 723
 
1.3%
집 720
 
1.3%
장 677
 
1.2%
국 648
 
1.2%
밥 647
 
1.2%
Other values (922) 46059
82.6%
Latin
ValueCountFrequency (%)
e 125
 
6.5%
A 101
 
5.3%
B 92
 
4.8%
o 91
 
4.7%
a 91
 
4.7%
O 85
 
4.4%
C 84
 
4.4%
H 62
 
3.2%
E 62
 
3.2%
r 57
 
3.0%
Other values (41) 1071
55.8%
Common
ValueCountFrequency (%)
1743
46.1%
( 560
 
14.8%
) 560
 
14.8%
1 147
 
3.9%
& 128
 
3.4%
0 104
 
2.8%
2 88
 
2.3%
8 57
 
1.5%
3 50
 
1.3%
9 48
 
1.3%
Other values (20) 296
 
7.8%
Han
ValueCountFrequency (%)
愛 3
 
8.6%
人 2
 
5.7%
多 2
 
5.7%
海 2
 
5.7%
辛 2
 
5.7%
好 2
 
5.7%
珍 1
 
2.9%
白 1
 
2.9%
尹 1
 
2.9%
夜 1
 
2.9%
Other values (18) 18
51.4%
Hiragana
ValueCountFrequency (%)
や 2
50.0%
が 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55752
90.7%
ASCII 5692
 
9.3%
CJK 34
 
0.1%
None 8
 
< 0.1%
Hiragana 4
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 1814
 
3.3%
식 1427
 
2.6%
당 1124
 
2.0%
이 1075
 
1.9%
리 838
 
1.5%
가 723
 
1.3%
집 720
 
1.3%
장 677
 
1.2%
국 648
 
1.2%
밥 647
 
1.2%
Other values (922) 46059
82.6%
ASCII
ValueCountFrequency (%)
1743
30.6%
( 560
 
9.8%
) 560
 
9.8%
1 147
 
2.6%
& 128
 
2.2%
e 125
 
2.2%
0 104
 
1.8%
A 101
 
1.8%
B 92
 
1.6%
o 91
 
1.6%
Other values (68) 2041
35.9%
None
ValueCountFrequency (%)
· 7
87.5%
＆ 1
 
12.5%
CJK
ValueCountFrequency (%)
愛 3
 
8.8%
人 2
 
5.9%
多 2
 
5.9%
海 2
 
5.9%
辛 2
 
5.9%
好 2
 
5.9%
珍 1
 
2.9%
白 1
 
2.9%
尹 1
 
2.9%
夜 1
 
2.9%
Other values (17) 17
50.0%
Hiragana
ValueCountFrequency (%)
や 2
50.0%
が 2
50.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
連 1
100.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반음식점
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 10000
100.0%

Length

2023-12-12T08:19:58.689625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:19:58.756787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 10000
100.0%

업태
Categorical

Distinct21
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4394 
호프/통닭
1154 
기타
977 
식육(숯불구이)
836 
분식
545 
Other values (16)
2094 

Length

Max length15
Median length2
Mean length3.3473
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row호프/통닭
2nd row기타
3rd row식육(숯불구이)
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 4394
43.9%
호프/통닭 1154
 
11.5%
기타 977
 
9.8%
식육(숯불구이) 836
 
8.4%
분식 545
 
5.5%
회집 448
 
4.5%
경양식 409
 
4.1%
정종/대포집/소주방 311
 
3.1%
중국식 308
 
3.1%
일식 196
 
2.0%
Other values (11) 422
 
4.2%

Length

2023-12-12T08:19:58.835167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4394
43.9%
호프/통닭 1154
 
11.5%
기타 977
 
9.8%
식육(숯불구이 836
 
8.4%
분식 545
 
5.5%
회집 448
 
4.5%
경양식 409
 
4.1%
정종/대포집/소주방 311
 
3.1%
중국식 308
 
3.1%
일식 196
 
2.0%
Other values (11) 422
 
4.2%

업소주소
Text

Distinct9882
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T08:19:59.084463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length59
Mean length28.7832
Min length11

Characters and Unicode

Total characters287832
Distinct characters595
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9767 ?
Unique (%)97.7%

Sample

1st row경상남도 창원시 마산합포구 오동북11길 1(오동동)
2nd row경상남도 창원시 의창구 북면 감계로110번길 35-13(1층일부)
3rd row경상남도 김해시 진영읍 김해대로335번길 1
4th row경상남도 창원시 성산구 마디미로 28(C동 326,327,335호 상남동, 상남시장)
5th row경상남도 진주시 대신로475번길 16-9(1층 일부 초전동)
ValueCountFrequency (%)
경상남도 9998
 
18.4%
창원시 2746
 
5.0%
김해시 1534
 
2.8%
진주시 1113
 
2.0%
양산시 1009
 
1.9%
거제시 830
 
1.5%
1층 672
 
1.2%
마산합포구 611
 
1.1%
진해구 597
 
1.1%
의창구 574
 
1.1%
Other values (11937) 34727
63.8%
2023-12-12T08:19:59.467245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44436
 
15.4%
1 15772
 
5.5%
상 11707
 
4.1%
남 11464
 
4.0%
도 10392
 
3.6%
경 10181
 
3.5%
동 9036
 
3.1%
시 8822
 
3.1%
) 8072
 
2.8%
( 8072
 
2.8%
Other values (585) 149878
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173196
60.2%
Decimal Number 48325
 
16.8%
Space Separator 44437
 
15.4%
Close Punctuation 8076
 
2.8%
Open Punctuation 8076
 
2.8%
Dash Punctuation 2775
 
1.0%
Other Punctuation 2472
 
0.9%
Uppercase Letter 378
 
0.1%
Math Symbol 46
 
< 0.1%
Lowercase Letter 43
 
< 0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 11707
 
6.8%
남 11464
 
6.6%
도 10392
 
6.0%
경 10181
 
5.9%
동 9036
 
5.2%
시 8822
 
5.1%
로 7420
 
4.3%
길 5521
 
3.2%
층 5170
 
3.0%
창 4239
 
2.4%
Other values (518) 89244
51.5%
Uppercase Letter
ValueCountFrequency (%)
A 105
27.8%
B 81
21.4%
C 34
 
9.0%
L 16
 
4.2%
S 14
 
3.7%
E 13
 
3.4%
P 12
 
3.2%
D 11
 
2.9%
I 11
 
2.9%
T 11
 
2.9%
Other values (14) 70
18.5%
Lowercase Letter
ValueCountFrequency (%)
t 7
16.3%
e 6
14.0%
c 6
14.0%
i 4
9.3%
y 4
9.3%
h 3
7.0%
a 3
7.0%
l 3
7.0%
o 2
 
4.7%
s 2
 
4.7%
Other values (3) 3
7.0%
Decimal Number
ValueCountFrequency (%)
1 15772
32.6%
2 6898
14.3%
3 4441
 
9.2%
0 4158
 
8.6%
4 3616
 
7.5%
5 3341
 
6.9%
6 2942
 
6.1%
7 2607
 
5.4%
8 2347
 
4.9%
9 2203
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 2382
96.4%
. 42
 
1.7%
· 27
 
1.1%
@ 8
 
0.3%
* 4
 
0.2%
& 3
 
0.1%
: 3
 
0.1%
/ 3
 
0.1%
Space Separator
ValueCountFrequency (%)
44436
> 99.9%
　 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 8072
> 99.9%
] 4
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 8072
> 99.9%
[ 4
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅰ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2775
100.0%
Math Symbol
ValueCountFrequency (%)
~ 46
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173196
60.2%
Common 114213
39.7%
Latin 423
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 11707
 
6.8%
남 11464
 
6.6%
도 10392
 
6.0%
경 10181
 
5.9%
동 9036
 
5.2%
시 8822
 
5.1%
로 7420
 
4.3%
길 5521
 
3.2%
층 5170
 
3.0%
창 4239
 
2.4%
Other values (518) 89244
51.5%
Latin
ValueCountFrequency (%)
A 105
24.8%
B 81
19.1%
C 34
 
8.0%
L 16
 
3.8%
S 14
 
3.3%
E 13
 
3.1%
P 12
 
2.8%
D 11
 
2.6%
I 11
 
2.6%
T 11
 
2.6%
Other values (29) 115
27.2%
Common
ValueCountFrequency (%)
44436
38.9%
1 15772
 
13.8%
) 8072
 
7.1%
( 8072
 
7.1%
2 6898
 
6.0%
3 4441
 
3.9%
0 4158
 
3.6%
4 3616
 
3.2%
5 3341
 
2.9%
6 2942
 
2.6%
Other values (18) 12465
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173195
60.2%
ASCII 114603
39.8%
None 28
 
< 0.1%
CJK Compat 3
 
< 0.1%
Number Forms 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44436
38.8%
1 15772
 
13.8%
) 8072
 
7.0%
( 8072
 
7.0%
2 6898
 
6.0%
3 4441
 
3.9%
0 4158
 
3.6%
4 3616
 
3.2%
5 3341
 
2.9%
6 2942
 
2.6%
Other values (52) 12855
 
11.2%
Hangul
ValueCountFrequency (%)
상 11707
 
6.8%
남 11464
 
6.6%
도 10392
 
6.0%
경 10181
 
5.9%
동 9036
 
5.2%
시 8822
 
5.1%
로 7420
 
4.3%
길 5521
 
3.2%
층 5170
 
3.0%
창 4239
 
2.4%
Other values (517) 89243
51.5%
None
ValueCountFrequency (%)
· 27
96.4%
　 1
 
3.6%
CJK Compat
ValueCountFrequency (%)
㎡ 3
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅰ 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

Interactions

2023-12-12T08:19:57.432336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:19:59.560017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.9690.244
인허가관할기관0.9691.0000.273
업태0.2440.2731.000
2023-12-12T08:19:59.626363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가관할기관업태
인허가관할기관1.0000.080
업태0.0801.000
2023-12-12T08:19:59.688462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.8350.079
인허가관할기관0.8351.0000.080
업태0.0790.0801.000

Missing values

2023-12-12T08:19:57.539024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:19:57.637670image/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

연번인허가관할기관업소명업종업태업소주소
11091110창원시 마산합포구솥닭솥닭일반음식점호프/통닭경상남도 창원시 마산합포구 오동북11길 1(오동동)
95959596창원시 의창구청년피자일반음식점기타경상남도 창원시 의창구 북면 감계로110번길 35-13(1층일부)
2667826679김해시한울숯불뒷고기생삼겹일반음식점식육(숯불구이)경상남도 김해시 진영읍 김해대로335번길 1
74207421창원시 성산구남도시골밥상일반음식점한식경상남도 창원시 성산구 마디미로 28(C동 326,327,335호 상남동, 상남시장)
1613816139진주시우담정식당일반음식점한식경상남도 진주시 대신로475번길 16-9(1층 일부 초전동)
93599360창원시 의창구경성다찌일반음식점한식경상남도 창원시 의창구 원이대로279번길 10(봉곡동,1층)
2779627797김해시쭌이네 쪽갈비일반음식점한식경상남도 김해시 가야로157번길 13-6(삼계동)
3681736818거제시민지네밥상일반음식점한식경상남도 거제시 거제면 읍내로 64-2(1층)
4766647667산청군통뼈감자탕일반음식점한식경상남도 산청군 산청읍 친환경로 2693
3531235313거제시조은국밥일반음식점한식경상남도 거제시 일운면 와현로 66(1층)
연번인허가관할기관업소명업종업태업소주소
4447144472창녕군다가치통닭일반음식점호프/통닭경상남도 창녕군 영산면 연지길 19
45974598창원시 마산회원구수요지일반음식점한식경상남도 창원시 마산회원구 내서읍 상곡로 22(중앙상가 109호)
2988029881김해시김재완 원조집 돼지 김치구이일반음식점한식경상남도 김해시 인제로188번길 11(어방동)
3102231023김해시떡볶이참잘하는집 떡참 김해활천점일반음식점분식경상남도 김해시 인제로51번길 31(1층 삼정동)
2572025721김해시뼈큰감자탕일반음식점한식경상남도 김해시 진영읍 장등1로 41
4157141572양산시마루치킨일반음식점호프/통닭경상남도 양산시 소주로 180(1층 소주동)
66046605창원시 성산구클라우드나인(cloud9)레스토랑일반음식점호프/통닭경상남도 창원시 성산구 단정로 29(4층 403.404호 상남동, 태우라메르빌딩)
4903949040거창군송신기사식당일반음식점한식경상남도 거창군 거창읍 거창대로 99
2115421155통영시대구박초자할매찜갈비일반음식점한식경상남도 통영시 동문4길 8-1(1층 정량동)
1350713508창원시 진해구꽃갈비일반음식점식육(숯불구이)경상남도 창원시 진해구 진해대로874번길 6-14(석동)