Overview

Dataset statistics

Number of variables8
Number of observations173
Missing cells77
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.1 KiB
Average record size in memory65.8 B

Variable types

Numeric1
Categorical3
Text3
DateTime1

Dataset

Description푸드트럭(업소명, 영업소재지 등) 신고현황을 제공합니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15070590

Alerts

업종 is highly overall correlated with 위치구분High correlation
위치구분 is highly overall correlated with 관할기관 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 관할기관High correlation
관할기관 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
업종 is highly imbalanced (94.9%)Imbalance
주요 취급품목 has 77 (44.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:40:09.766459
Analysis finished2023-12-11 00:40:10.525059
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87
Minimum1
Maximum173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T09:40:10.593690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.6
Q144
median87
Q3130
95-th percentile164.4
Maximum173
Range172
Interquartile range (IQR)86

Descriptive statistics

Standard deviation50.084928
Coefficient of variation (CV)0.57568883
Kurtosis-1.2
Mean87
Median Absolute Deviation (MAD)43
Skewness0
Sum15051
Variance2508.5
MonotonicityStrictly increasing
2023-12-11T09:40:10.725722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
120 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
Other values (163) 163
94.2%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%

관할기관
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
김해시
33 
양산시
28 
함안군
15 
통영시
15 
하동군
10 
Other values (16)
72 

Length

Max length9
Median length3
Mean length3.416185
Min length3

Unique

Unique4 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
김해시 33
19.1%
양산시 28
16.2%
함안군 15
8.7%
통영시 15
8.7%
하동군 10
 
5.8%
밀양시 10
 
5.8%
창녕군 8
 
4.6%
진주시 7
 
4.0%
창원시 진해구 7
 
4.0%
사천시 6
 
3.5%
Other values (11) 34
19.7%

Length

2023-12-11T09:40:10.888288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김해시 33
17.5%
양산시 28
14.8%
창원시 16
 
8.5%
함안군 15
 
7.9%
통영시 15
 
7.9%
하동군 10
 
5.3%
밀양시 10
 
5.3%
창녕군 8
 
4.2%
진주시 7
 
3.7%
진해구 7
 
3.7%
Other values (12) 40
21.2%

위치구분
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
78 
도시공원
21 
조례
20 
관광지
16 
유원시설
15 
Other values (4)
23 

Length

Max length4
Median length4
Mean length3.5722543
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row공용재산
2nd row공용재산
3rd row공용재산
4th row공용재산
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 78
45.1%
도시공원 21
 
12.1%
조례 20
 
11.6%
관광지 16
 
9.2%
유원시설 15
 
8.7%
공용재산 13
 
7.5%
하천 7
 
4.0%
학교 2
 
1.2%
체육시설 1
 
0.6%

Length

2023-12-11T09:40:11.021683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:40:11.156705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
45.1%
도시공원 21
 
12.1%
조례 20
 
11.6%
관광지 16
 
9.2%
유원시설 15
 
8.7%
공용재산 13
 
7.5%
하천 7
 
4.0%
학교 2
 
1.2%
체육시설 1
 
0.6%

업소명
Text

Distinct169
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T09:40:11.484251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length5.7861272
Min length2

Characters and Unicode

Total characters1001
Distinct characters308
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)95.4%

Sample

1st row골드스타(Gold Star)
2nd row핑카
3rd row꿀삐닭강정
4th row시청와플
5th row드비치골프클럽푸드트럭
ValueCountFrequency (%)
미스터리 2
 
1.0%
양산cc점 2
 
1.0%
커피벨트 2
 
1.0%
제이에스 2
 
1.0%
닭꼬치 2
 
1.0%
소문난타코야끼 2
 
1.0%
커피이야기 2
 
1.0%
꿀삐닭강정 2
 
1.0%
배트맨 1
 
0.5%
다온컴퍼니(86루4661 1
 
0.5%
Other values (186) 186
91.2%
2023-12-11T09:40:11.949304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
드 35
 
3.5%
31
 
3.1%
푸 30
 
3.0%
스 26
 
2.6%
이 26
 
2.6%
트 26
 
2.6%
피 21
 
2.1%
카 18
 
1.8%
럭 16
 
1.6%
커 15
 
1.5%
Other values (298) 757
75.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 866
86.5%
Lowercase Letter 36
 
3.6%
Space Separator 31
 
3.1%
Uppercase Letter 20
 
2.0%
Decimal Number 17
 
1.7%
Close Punctuation 12
 
1.2%
Open Punctuation 12
 
1.2%
Other Punctuation 6
 
0.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 35
 
4.0%
푸 30
 
3.5%
스 26
 
3.0%
이 26
 
3.0%
트 26
 
3.0%
피 21
 
2.4%
카 18
 
2.1%
럭 16
 
1.8%
커 15
 
1.7%
페 14
 
1.6%
Other values (254) 639
73.8%
Lowercase Letter
ValueCountFrequency (%)
a 6
16.7%
r 5
13.9%
i 4
11.1%
t 3
8.3%
s 3
8.3%
o 3
8.3%
e 2
 
5.6%
b 2
 
5.6%
d 1
 
2.8%
l 1
 
2.8%
Other values (6) 6
16.7%
Uppercase Letter
ValueCountFrequency (%)
C 5
25.0%
E 2
 
10.0%
O 2
 
10.0%
P 2
 
10.0%
G 2
 
10.0%
S 1
 
5.0%
F 1
 
5.0%
A 1
 
5.0%
U 1
 
5.0%
H 1
 
5.0%
Other values (2) 2
 
10.0%
Decimal Number
ValueCountFrequency (%)
6 4
23.5%
2 4
23.5%
0 3
17.6%
1 2
11.8%
8 1
 
5.9%
4 1
 
5.9%
3 1
 
5.9%
5 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
& 3
50.0%
% 1
 
16.7%
, 1
 
16.7%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 866
86.5%
Common 79
 
7.9%
Latin 56
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 35
 
4.0%
푸 30
 
3.5%
스 26
 
3.0%
이 26
 
3.0%
트 26
 
3.0%
피 21
 
2.4%
카 18
 
2.1%
럭 16
 
1.8%
커 15
 
1.7%
페 14
 
1.6%
Other values (254) 639
73.8%
Latin
ValueCountFrequency (%)
a 6
 
10.7%
C 5
 
8.9%
r 5
 
8.9%
i 4
 
7.1%
t 3
 
5.4%
s 3
 
5.4%
o 3
 
5.4%
e 2
 
3.6%
E 2
 
3.6%
b 2
 
3.6%
Other values (18) 21
37.5%
Common
ValueCountFrequency (%)
31
39.2%
) 12
 
15.2%
( 12
 
15.2%
6 4
 
5.1%
2 4
 
5.1%
0 3
 
3.8%
& 3
 
3.8%
1 2
 
2.5%
8 1
 
1.3%
4 1
 
1.3%
Other values (6) 6
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 866
86.5%
ASCII 135
 
13.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
드 35
 
4.0%
푸 30
 
3.5%
스 26
 
3.0%
이 26
 
3.0%
트 26
 
3.0%
피 21
 
2.4%
카 18
 
2.1%
럭 16
 
1.8%
커 15
 
1.7%
페 14
 
1.6%
Other values (254) 639
73.8%
ASCII
ValueCountFrequency (%)
31
23.0%
) 12
 
8.9%
( 12
 
8.9%
a 6
 
4.4%
C 5
 
3.7%
r 5
 
3.7%
6 4
 
3.0%
2 4
 
3.0%
i 4
 
3.0%
0 3
 
2.2%
Other values (34) 49
36.3%

인허가일
Date

Distinct135
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2015-06-26 00:00:00
Maximum2022-10-21 00:00:00
2023-12-11T09:40:12.084634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:40:12.234724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업소재지
Text

Distinct151
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T09:40:12.496039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length30.919075
Min length16

Characters and Unicode

Total characters5349
Distinct characters275
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

Unique132 ?
Unique (%)76.3%

Sample

1st row경상남도 거제시 계룡로 125(거제시청 고현동)
2nd row경상남도 거제시 일운면 소동리 457-10 지세포항 친수공간
3rd row경상남도 거제시 양정동 981 거제시보건소
4th row경상남도 거제시 상동동 1005-12 독봉산 웰빙공원
5th row경상남도 거제시 장목면 거제북로 1573(드비치골프장)
ValueCountFrequency (%)
경상남도 173
 
16.2%
내 34
 
3.2%
김해시 33
 
3.1%
양산시 28
 
2.6%
창원시 16
 
1.5%
함안군 15
 
1.4%
통영시 15
 
1.4%
주차장 12
 
1.1%
가락대로 11
 
1.0%
하동군 10
 
0.9%
Other values (416) 721
67.5%
2023-12-11T09:40:12.925558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
896
 
16.8%
남 201
 
3.8%
도 186
 
3.5%
경 185
 
3.5%
상 182
 
3.4%
1 139
 
2.6%
동 138
 
2.6%
시 129
 
2.4%
2 99
 
1.9%
) 98
 
1.8%
Other values (265) 3096
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3512
65.7%
Space Separator 896
 
16.8%
Decimal Number 654
 
12.2%
Close Punctuation 98
 
1.8%
Open Punctuation 98
 
1.8%
Dash Punctuation 67
 
1.3%
Other Punctuation 13
 
0.2%
Uppercase Letter 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 201
 
5.7%
도 186
 
5.3%
경 185
 
5.3%
상 182
 
5.2%
동 138
 
3.9%
시 129
 
3.7%
로 88
 
2.5%
산 88
 
2.5%
해 85
 
2.4%
원 82
 
2.3%
Other values (246) 2148
61.2%
Decimal Number
ValueCountFrequency (%)
1 139
21.3%
2 99
15.1%
3 63
9.6%
5 62
9.5%
6 59
9.0%
9 58
8.9%
4 49
 
7.5%
8 46
 
7.0%
0 43
 
6.6%
7 36
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
A 6
54.5%
B 3
27.3%
D 1
 
9.1%
C 1
 
9.1%
Space Separator
ValueCountFrequency (%)
896
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3512
65.7%
Common 1826
34.1%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 201
 
5.7%
도 186
 
5.3%
경 185
 
5.3%
상 182
 
5.2%
동 138
 
3.9%
시 129
 
3.7%
로 88
 
2.5%
산 88
 
2.5%
해 85
 
2.4%
원 82
 
2.3%
Other values (246) 2148
61.2%
Common
ValueCountFrequency (%)
896
49.1%
1 139
 
7.6%
2 99
 
5.4%
) 98
 
5.4%
( 98
 
5.4%
- 67
 
3.7%
3 63
 
3.5%
5 62
 
3.4%
6 59
 
3.2%
9 58
 
3.2%
Other values (5) 187
 
10.2%
Latin
ValueCountFrequency (%)
A 6
54.5%
B 3
27.3%
D 1
 
9.1%
C 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3512
65.7%
ASCII 1837
34.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
896
48.8%
1 139
 
7.6%
2 99
 
5.4%
) 98
 
5.3%
( 98
 
5.3%
- 67
 
3.6%
3 63
 
3.4%
5 62
 
3.4%
6 59
 
3.2%
9 58
 
3.2%
Other values (9) 198
 
10.8%
Hangul
ValueCountFrequency (%)
남 201
 
5.7%
도 186
 
5.3%
경 185
 
5.3%
상 182
 
5.2%
동 138
 
3.9%
시 129
 
3.7%
로 88
 
2.5%
산 88
 
2.5%
해 85
 
2.4%
원 82
 
2.3%
Other values (246) 2148
61.2%

업종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
휴게음식점
172 
제과점
 
1

Length

Max length5
Median length5
Mean length4.9884393
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 172
99.4%
제과점 1
 
0.6%

Length

2023-12-11T09:40:13.076588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:40:13.186959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 172
99.4%
제과점 1
 
0.6%

주요 취급품목
Text

MISSING 

Distinct73
Distinct (%)76.0%
Missing77
Missing (%)44.5%
Memory size1.5 KiB
2023-12-11T09:40:13.417641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length21
Mean length6.90625
Min length1

Characters and Unicode

Total characters663
Distinct characters130
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

Unique64 ?
Unique (%)66.7%

Sample

1st row홍콩와플, 소프트아이스크림
2nd row캐릭터솜사탕
3rd row닭강정
4th row돈가스, 스테이크
5th row분식
ValueCountFrequency (%)
커피 19
 
11.6%
닭꼬치 12
 
7.3%
등 10
 
6.1%
핫도그 8
 
4.9%
음료 8
 
4.9%
스테이크 6
 
3.7%
음료류 6
 
3.7%
닭강정 6
 
3.7%
츄러스 5
 
3.0%
꼬치 3
 
1.8%
Other values (71) 81
49.4%
2023-12-11T09:40:13.844162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
11.0%
, 67
 
10.1%
피 28
 
4.2%
커 26
 
3.9%
스 24
 
3.6%
닭 22
 
3.3%
치 21
 
3.2%
음 21
 
3.2%
료 21
 
3.2%
이 21
 
3.2%
Other values (120) 339
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 516
77.8%
Space Separator 73
 
11.0%
Other Punctuation 68
 
10.3%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
피 28
 
5.4%
커 26
 
5.0%
스 24
 
4.7%
닭 22
 
4.3%
치 21
 
4.1%
음 21
 
4.1%
료 21
 
4.1%
이 21
 
4.1%
꼬 19
 
3.7%
크 13
 
2.5%
Other values (115) 300
58.1%
Other Punctuation
ValueCountFrequency (%)
, 67
98.5%
. 1
 
1.5%
Space Separator
ValueCountFrequency (%)
73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 516
77.8%
Common 147
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
피 28
 
5.4%
커 26
 
5.0%
스 24
 
4.7%
닭 22
 
4.3%
치 21
 
4.1%
음 21
 
4.1%
료 21
 
4.1%
이 21
 
4.1%
꼬 19
 
3.7%
크 13
 
2.5%
Other values (115) 300
58.1%
Common
ValueCountFrequency (%)
73
49.7%
, 67
45.6%
) 3
 
2.0%
( 3
 
2.0%
. 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 516
77.8%
ASCII 147
 
22.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
49.7%
, 67
45.6%
) 3
 
2.0%
( 3
 
2.0%
. 1
 
0.7%
Hangul
ValueCountFrequency (%)
피 28
 
5.4%
커 26
 
5.0%
스 24
 
4.7%
닭 22
 
4.3%
치 21
 
4.1%
음 21
 
4.1%
료 21
 
4.1%
이 21
 
4.1%
꼬 19
 
3.7%
크 13
 
2.5%
Other values (115) 300
58.1%

Interactions

2023-12-11T09:40:10.260542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:40:14.323919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관할기관위치구분업종주요 취급품목
연번1.0000.9520.6620.0490.838
관할기관0.9521.0000.8730.0000.895
위치구분0.6620.8731.000NaN0.416
업종0.0490.000NaN1.000NaN
주요 취급품목0.8380.8950.416NaN1.000
2023-12-11T09:40:14.436422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종관할기관위치구분
업종1.0000.0001.000
관할기관0.0001.0000.578
위치구분1.0000.5781.000
2023-12-11T09:40:14.525864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관할기관위치구분업종
연번1.0000.7410.3870.032
관할기관0.7411.0000.5780.000
위치구분0.3870.5781.0001.000
업종0.0320.0001.0001.000

Missing values

2023-12-11T09:40:10.375382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:40:10.482168image/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

연번관할기관위치구분업소명인허가일영업소재지업종주요 취급품목
01거제시공용재산골드스타(Gold Star)2018-03-05경상남도 거제시 계룡로 125(거제시청 고현동)휴게음식점홍콩와플, 소프트아이스크림
12거제시공용재산핑카2018-03-06경상남도 거제시 일운면 소동리 457-10 지세포항 친수공간휴게음식점캐릭터솜사탕
23거제시공용재산꿀삐닭강정2018-03-13경상남도 거제시 양정동 981 거제시보건소휴게음식점닭강정
34거제시공용재산시청와플2018-04-10경상남도 거제시 상동동 1005-12 독봉산 웰빙공원휴게음식점돈가스, 스테이크
45거제시<NA>드비치골프클럽푸드트럭2019-12-26경상남도 거제시 장목면 거제북로 1573(드비치골프장)휴게음식점<NA>
56거창군<NA>수키까페2020-12-03경상남도 거창군 남하면 무릉리 975휴게음식점<NA>
67고성군<NA>Paraiso(파라이소)2022-07-08경상남도 고성군 고성읍 공룡로 3083휴게음식점<NA>
78고성군<NA>Paraiso2022-09-20경상남도 고성군 회화면 당항만로 1116휴게음식점<NA>
89고성군<NA>고성시니어클럽 정담맛차2022-09-23경상남도 고성군 고성읍 송학로 58(고성군 작은영화관)휴게음식점<NA>
910고성군<NA>꼬치촌2022-09-26경상남도 고성군 회화면 당항만로 1116휴게음식점<NA>
연번관할기관위치구분업소명인허가일영업소재지업종주요 취급품목
163164함안군<NA>원숭이트럭2022-10-14경상남도 함안군 함안면 괴산4길 25(무진정)휴게음식점<NA>
164165함양군조례황금마차2016-10-24경상남도 함양군 함양읍 교산리 1041 (상림고운광장 가 구역)휴게음식점음료, 제과
165166함양군<NA>빅토리아2022-08-22경상남도 함양군 함양읍 대맛길 107휴게음식점<NA>
166167함양군<NA>미스터리2022-08-23경상남도 함양군 함양읍 대맛길 107휴게음식점<NA>
167168함양군<NA>커피트립2022-09-01경상남도 함양군 함양읍 대덕리 263휴게음식점<NA>
168169합천군관광지행복한푸드 달달한 떡볶이2017-07-18경상남도 합천군 대병면 회양리 700-21휴게음식점떡볶이, 소시지, 햄
169170합천군관광지율피카페2019-02-25경상남도 합천군 봉산면 영서로 1556휴게음식점커피, 음료 등
170171합천군<NA>율피카페22022-05-04경상남도 합천군 가회면 월계리 산 88휴게음식점<NA>
171172합천군<NA>토스트 앤 커피 박스2022-09-23경상남도 합천군 합천읍 영창리 898 신소양체육공원휴게음식점<NA>
172173합천군<NA>청춘츄러스2022-10-21경상남도 합천군 용주면 합천호수로 757(촬영세트영상테마파크내)휴게음식점<NA>