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://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15069262

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 00:16:38.803555
Analysis finished2023-12-11 00:16:40.204661
Duration1.4 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%
Mean25259.547
Minimum1
Maximum50312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T09:16:40.265816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2484.8
Q112715.25
median25256.5
Q338039.25
95-th percentile47843.3
Maximum50312
Range50311
Interquartile range (IQR)25324

Descriptive statistics

Standard deviation14600.379
Coefficient of variation (CV)0.5780143
Kurtosis-1.2037739
Mean25259.547
Median Absolute Deviation (MAD)12684
Skewness-0.00246661
Sum2.5259547 × 108
Variance2.1317108 × 108
MonotonicityNot monotonic
2023-12-11T09:16:40.378227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48344 1
 
< 0.1%
6818 1
 
< 0.1%
49466 1
 
< 0.1%
44386 1
 
< 0.1%
38507 1
 
< 0.1%
3146 1
 
< 0.1%
26413 1
 
< 0.1%
12478 1
 
< 0.1%
29066 1
 
< 0.1%
20434 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
6 1
< 0.1%
11 1
< 0.1%
22 1
< 0.1%
26 1
< 0.1%
37 1
< 0.1%
49 1
< 0.1%
55 1
< 0.1%
56 1
< 0.1%
ValueCountFrequency (%)
50312 1
< 0.1%
50308 1
< 0.1%
50305 1
< 0.1%
50300 1
< 0.1%
50293 1
< 0.1%
50285 1
< 0.1%
50281 1
< 0.1%
50280 1
< 0.1%
50274 1
< 0.1%
50268 1
< 0.1%

인허가관할기관
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
김해시
1528 
진주시
1112 
양산시
997 
거제시
781 
창원시 마산합포구
620 
Other values (17)
4962 

Length

Max length9
Median length3
Mean length4.3066
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row함양군
2nd row창녕군
3rd row밀양시
4th row김해시
5th row함안군

Common Values

ValueCountFrequency (%)
김해시 1528
15.3%
진주시 1112
11.1%
양산시 997
10.0%
거제시 781
 
7.8%
창원시 마산합포구 620
 
6.2%
창원시 진해구 580
 
5.8%
창원시 성산구 568
 
5.7%
통영시 495
 
5.0%
창원시 의창구 482
 
4.8%
창원시 마산회원구 471
 
4.7%
Other values (12) 2366
23.7%

Length

2023-12-11T09:16:40.489869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 2721
21.4%
김해시 1528
12.0%
진주시 1112
 
8.7%
양산시 997
 
7.8%
거제시 781
 
6.1%
마산합포구 620
 
4.9%
진해구 580
 
4.6%
성산구 568
 
4.5%
통영시 495
 
3.9%
의창구 482
 
3.8%
Other values (13) 2837
22.3%

업소명
Text

Distinct9366
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:16:40.751788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length31
Mean length6.0508
Min length1

Characters and Unicode

Total characters60508
Distinct characters1027
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8939 ?
Unique (%)89.4%

Sample

1st row페리카나치킨
2nd row경남요양병원장례식장
3rd row나루터횟집
4th row행님족발
5th row해바라기휴게실
ValueCountFrequency (%)
장유점 19
 
0.2%
식당 18
 
0.2%
맘스터치 18
 
0.2%
카페 15
 
0.1%
김해점 14
 
0.1%
푸라닭 14
 
0.1%
굽네치킨 12
 
0.1%
양산점 12
 
0.1%
삼계점 11
 
0.1%
본점 11
 
0.1%
Other values (9905) 11535
98.8%
2023-12-11T09:16:41.152024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 1703
 
2.8%
1683
 
2.8%
식 1434
 
2.4%
당 1147
 
1.9%
이 995
 
1.6%
리 788
 
1.3%
집 754
 
1.2%
가 685
 
1.1%
장 649
 
1.1%
국 634
 
1.0%
Other values (1017) 50036
82.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54931
90.8%
Space Separator 1683
 
2.8%
Uppercase Letter 971
 
1.6%
Lowercase Letter 908
 
1.5%
Decimal Number 737
 
1.2%
Close Punctuation 520
 
0.9%
Open Punctuation 519
 
0.9%
Other Punctuation 223
 
0.4%
Dash Punctuation 12
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1703
 
3.1%
식 1434
 
2.6%
당 1147
 
2.1%
이 995
 
1.8%
리 788
 
1.4%
집 754
 
1.4%
가 685
 
1.2%
장 649
 
1.2%
국 634
 
1.2%
산 630
 
1.1%
Other values (937) 45512
82.9%
Lowercase Letter
ValueCountFrequency (%)
e 134
14.8%
a 85
 
9.4%
o 83
 
9.1%
r 66
 
7.3%
n 65
 
7.2%
i 60
 
6.6%
l 42
 
4.6%
c 42
 
4.6%
s 39
 
4.3%
t 35
 
3.9%
Other values (16) 257
28.3%
Uppercase Letter
ValueCountFrequency (%)
C 96
 
9.9%
A 92
 
9.5%
B 82
 
8.4%
E 69
 
7.1%
H 56
 
5.8%
O 54
 
5.6%
S 53
 
5.5%
T 53
 
5.5%
N 51
 
5.3%
D 45
 
4.6%
Other values (16) 320
33.0%
Decimal Number
ValueCountFrequency (%)
1 143
19.4%
0 119
16.1%
2 112
15.2%
9 69
9.4%
3 59
8.0%
5 58
7.9%
7 52
 
7.1%
4 45
 
6.1%
6 42
 
5.7%
8 38
 
5.2%
Other Punctuation
ValueCountFrequency (%)
& 111
49.8%
. 57
25.6%
, 31
 
13.9%
· 8
 
3.6%
' 7
 
3.1%
/ 3
 
1.3%
! 3
 
1.3%
; 1
 
0.4%
# 1
 
0.4%
＆ 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
+ 1
33.3%
> 1
33.3%
< 1
33.3%
Space Separator
ValueCountFrequency (%)
1683
100.0%
Close Punctuation
ValueCountFrequency (%)
) 520
100.0%
Open Punctuation
ValueCountFrequency (%)
( 519
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54891
90.7%
Common 3698
 
6.1%
Latin 1879
 
3.1%
Han 36
 
0.1%
Hiragana 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1703
 
3.1%
식 1434
 
2.6%
당 1147
 
2.1%
이 995
 
1.8%
리 788
 
1.4%
집 754
 
1.4%
가 685
 
1.2%
장 649
 
1.2%
국 634
 
1.2%
산 630
 
1.1%
Other values (909) 45472
82.8%
Latin
ValueCountFrequency (%)
e 134
 
7.1%
C 96
 
5.1%
A 92
 
4.9%
a 85
 
4.5%
o 83
 
4.4%
B 82
 
4.4%
E 69
 
3.7%
r 66
 
3.5%
n 65
 
3.5%
i 60
 
3.2%
Other values (42) 1047
55.7%
Common
ValueCountFrequency (%)
1683
45.5%
) 520
 
14.1%
( 519
 
14.0%
1 143
 
3.9%
0 119
 
3.2%
2 112
 
3.0%
& 111
 
3.0%
9 69
 
1.9%
3 59
 
1.6%
5 58
 
1.6%
Other values (18) 305
 
8.2%
Han
ValueCountFrequency (%)
家 6
16.7%
辛 2
 
5.6%
多 2
 
5.6%
利 2
 
5.6%
新 2
 
5.6%
月 2
 
5.6%
正 2
 
5.6%
酒 2
 
5.6%
樂 1
 
2.8%
所 1
 
2.8%
Other values (14) 14
38.9%
Hiragana
ValueCountFrequency (%)
つ 1
25.0%
る 1
25.0%
か 1
25.0%
め 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54888
90.7%
ASCII 5567
 
9.2%
CJK 32
 
0.1%
None 9
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%
Hiragana 4
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 1703
 
3.1%
식 1434
 
2.6%
당 1147
 
2.1%
이 995
 
1.8%
리 788
 
1.4%
집 754
 
1.4%
가 685
 
1.2%
장 649
 
1.2%
국 634
 
1.2%
산 630
 
1.1%
Other values (906) 45469
82.8%
ASCII
ValueCountFrequency (%)
1683
30.2%
) 520
 
9.3%
( 519
 
9.3%
1 143
 
2.6%
e 134
 
2.4%
0 119
 
2.1%
2 112
 
2.0%
& 111
 
2.0%
C 96
 
1.7%
A 92
 
1.7%
Other values (67) 2038
36.6%
None
ValueCountFrequency (%)
· 8
88.9%
＆ 1
 
11.1%
CJK
ValueCountFrequency (%)
家 6
18.8%
辛 2
 
6.2%
多 2
 
6.2%
新 2
 
6.2%
月 2
 
6.2%
正 2
 
6.2%
酒 2
 
6.2%
所 1
 
3.1%
心 1
 
3.1%
製 1
 
3.1%
Other values (11) 11
34.4%
CJK Compat Ideographs
ValueCountFrequency (%)
利 2
50.0%
樂 1
25.0%
李 1
25.0%
Hiragana
ValueCountFrequency (%)
つ 1
25.0%
る 1
25.0%
か 1
25.0%
め 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 1
33.3%
ㅈ 1
33.3%
ㅇ 1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 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

2023-12-11T09:16:41.267128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:16:41.359859image/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
4367 
호프/통닭
1081 
기타
1016 
식육(숯불구이)
817 
분식
520 
Other values (16)
2199 

Length

Max length15
Median length2
Mean length3.3633
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row호프/통닭
2nd row한식
3rd row회집
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 4367
43.7%
호프/통닭 1081
 
10.8%
기타 1016
 
10.2%
식육(숯불구이) 817
 
8.2%
분식 520
 
5.2%
회집 454
 
4.5%
경양식 401
 
4.0%
중국식 363
 
3.6%
정종/대포집/소주방 339
 
3.4%
일식 191
 
1.9%
Other values (11) 451
 
4.5%

Length

2023-12-11T09:16:41.450735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 4367
43.7%
호프/통닭 1081
 
10.8%
기타 1016
 
10.2%
식육(숯불구이 817
 
8.2%
분식 520
 
5.2%
회집 454
 
4.5%
경양식 401
 
4.0%
중국식 363
 
3.6%
정종/대포집/소주방 339
 
3.4%
일식 191
 
1.9%
Other values (11) 451
 
4.5%

업소주소
Text

Distinct9865
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T09:16:41.766544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length58
Mean length28.6089
Min length14

Characters and Unicode

Total characters286089
Distinct characters605
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9737 ?
Unique (%)97.4%

Sample

1st row경상남도 함양군 서상면 서상로 290-2
2nd row경상남도 창녕군 남지읍 남지중앙로 43
3rd row경상남도 밀양시 삼랑진읍 삼랑1길 95
4th row경상남도 김해시 주촌면 천곡로 37(1층)
5th row경상남도 함안군 법수면 우거북길 23
ValueCountFrequency (%)
경상남도 10000
 
18.5%
창원시 2721
 
5.0%
김해시 1528
 
2.8%
진주시 1112
 
2.1%
양산시 997
 
1.8%
거제시 781
 
1.4%
1층 623
 
1.2%
마산합포구 620
 
1.1%
진해구 580
 
1.1%
의창구 551
 
1.0%
Other values (11820) 34605
63.9%
2023-12-11T09:16:42.282780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44149
 
15.4%
1 15508
 
5.4%
상 11671
 
4.1%
남 11534
 
4.0%
도 10403
 
3.6%
경 10175
 
3.6%
동 8924
 
3.1%
시 8754
 
3.1%
( 7920
 
2.8%
) 7920
 
2.8%
Other values (595) 149131
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172461
60.3%
Decimal Number 47972
 
16.8%
Space Separator 44149
 
15.4%
Open Punctuation 7921
 
2.8%
Close Punctuation 7921
 
2.8%
Dash Punctuation 2767
 
1.0%
Other Punctuation 2445
 
0.9%
Uppercase Letter 366
 
0.1%
Lowercase Letter 51
 
< 0.1%
Math Symbol 34
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 11671
 
6.8%
남 11534
 
6.7%
도 10403
 
6.0%
경 10175
 
5.9%
동 8924
 
5.2%
시 8754
 
5.1%
로 7388
 
4.3%
길 5533
 
3.2%
층 5064
 
2.9%
창 4239
 
2.5%
Other values (528) 88776
51.5%
Uppercase Letter
ValueCountFrequency (%)
A 81
22.1%
B 79
21.6%
C 33
9.0%
S 25
 
6.8%
G 19
 
5.2%
D 16
 
4.4%
P 12
 
3.3%
L 12
 
3.3%
M 11
 
3.0%
E 11
 
3.0%
Other values (14) 67
18.3%
Lowercase Letter
ValueCountFrequency (%)
e 7
13.7%
t 6
11.8%
l 5
9.8%
i 5
9.8%
y 5
9.8%
u 4
7.8%
s 4
7.8%
a 4
7.8%
h 3
5.9%
c 2
 
3.9%
Other values (5) 6
11.8%
Decimal Number
ValueCountFrequency (%)
1 15508
32.3%
2 6819
14.2%
3 4487
 
9.4%
0 3977
 
8.3%
4 3478
 
7.3%
5 3434
 
7.2%
6 2991
 
6.2%
7 2640
 
5.5%
8 2371
 
4.9%
9 2267
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 2326
95.1%
. 67
 
2.7%
· 40
 
1.6%
@ 3
 
0.1%
& 3
 
0.1%
' 2
 
0.1%
/ 2
 
0.1%
* 1
 
< 0.1%
: 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 7920
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 7920
> 99.9%
] 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
44149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2767
100.0%
Math Symbol
ValueCountFrequency (%)
~ 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172461
60.3%
Common 113209
39.6%
Latin 419
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 11671
 
6.8%
남 11534
 
6.7%
도 10403
 
6.0%
경 10175
 
5.9%
동 8924
 
5.2%
시 8754
 
5.1%
로 7388
 
4.3%
길 5533
 
3.2%
층 5064
 
2.9%
창 4239
 
2.5%
Other values (528) 88776
51.5%
Latin
ValueCountFrequency (%)
A 81
19.3%
B 79
18.9%
C 33
 
7.9%
S 25
 
6.0%
G 19
 
4.5%
D 16
 
3.8%
P 12
 
2.9%
L 12
 
2.9%
M 11
 
2.6%
E 11
 
2.6%
Other values (31) 120
28.6%
Common
ValueCountFrequency (%)
44149
39.0%
1 15508
 
13.7%
( 7920
 
7.0%
) 7920
 
7.0%
2 6819
 
6.0%
3 4487
 
4.0%
0 3977
 
3.5%
4 3478
 
3.1%
5 3434
 
3.0%
6 2991
 
2.6%
Other values (16) 12526
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172461
60.3%
ASCII 113586
39.7%
None 40
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44149
38.9%
1 15508
 
13.7%
( 7920
 
7.0%
) 7920
 
7.0%
2 6819
 
6.0%
3 4487
 
4.0%
0 3977
 
3.5%
4 3478
 
3.1%
5 3434
 
3.0%
6 2991
 
2.6%
Other values (54) 12903
 
11.4%
Hangul
ValueCountFrequency (%)
상 11671
 
6.8%
남 11534
 
6.7%
도 10403
 
6.0%
경 10175
 
5.9%
동 8924
 
5.2%
시 8754
 
5.1%
로 7388
 
4.3%
길 5533
 
3.2%
층 5064
 
2.9%
창 4239
 
2.5%
Other values (528) 88776
51.5%
None
ValueCountFrequency (%)
· 40
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

Interactions

2023-12-11T09:16:39.918366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:16:42.392317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.9690.218
인허가관할기관0.9691.0000.252
업태0.2180.2521.000
2023-12-11T09:16:42.477359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태인허가관할기관
업태1.0000.073
인허가관할기관0.0731.000
2023-12-11T09:16:42.569599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.8360.071
인허가관할기관0.8361.0000.073
업태0.0710.0731.000

Missing values

2023-12-11T09:16:40.018086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:16:40.136986image/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
4834348344함양군페리카나치킨일반음식점호프/통닭경상남도 함양군 서상면 서상로 290-2
4464844649창녕군경남요양병원장례식장일반음식점한식경상남도 창녕군 남지읍 남지중앙로 43
3236432365밀양시나루터횟집일반음식점회집경상남도 밀양시 삼랑진읍 삼랑1길 95
2655526556김해시행님족발일반음식점한식경상남도 김해시 주촌면 천곡로 37(1층)
4350343504함안군해바라기휴게실일반음식점한식경상남도 함안군 법수면 우거북길 23
51515152창원시 마산회원구똥꼬일반음식점호프/통닭경상남도 창원시 마산회원구 합성옛길 90-1(합성동)
3251332514밀양시고봉민 김밥인 미리벌점일반음식점분식경상남도 밀양시 미리벌중앙로5길 10(삼문동)
48374838창원시 마산회원구봄68일반음식점경양식경상남도 창원시 마산회원구 회원동12길 3(지상2층 회원동)
2418924190김해시스마일명품찹쌀꽈배기일반음식점기타경상남도 김해시 활천로178번길 1(2층 어방동)
2590625907김해시삼오식당일반음식점한식경상남도 김해시 생림면 나전로 190
연번인허가관할기관업소명업종업태업소주소
4792947930산청군국수나무 산청원지점일반음식점분식경상남도 산청군 신안면 원지로 22-1
20002001창원시 마산합포구종가집갈비일반음식점식육(숯불구이)경상남도 창원시 마산합포구 월영동16길 8(1층 105호 해운동)
4131641317양산시도담찜닭 북정1호점일반음식점한식경상남도 양산시 북정로 79(1층일부층 북정동)
1058910590창원시 의창구세엄찬일반음식점한식경상남도 창원시 의창구 북동 249-8
2861728618김해시율하커피일반음식점기타경상남도 김해시 율하숲길 24(110호 장유동)
4259542596의령군청운횟집일반음식점회집경상남도 의령군 의령읍 백산로 13
2534025341김해시보스곰탕일반음식점한식경상남도 김해시 삼문로 9(4층 402호 대청동)
4376243763함안군큰손짜장일반음식점중국식경상남도 함안군 칠서면 삼칠로 555
3978239783양산시청해숯불장어산꼼장어일반음식점한식경상남도 양산시 물금읍 화합10길 3(1층)
90929093창원시 의창구가마치통닭 감계점일반음식점호프/통닭경상남도 창원시 의창구 북면 감계로110번길 54-39(104호 화진빌딩)