Overview

Dataset statistics

Number of variables8
Number of observations214
Missing cells89
Missing cells (%)5.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.7 KiB
Average record size in memory65.6 B

Variable types

Numeric1
Categorical3
Text3
DateTime1

Dataset

Description푸드트럭(업소명, 영업소재지 등) 신고현황을 제공합니다.경상남도 내 18개 시군의 푸드트럭 업체명, 소재지, 주요 취급품목 등의 정보 안내입니다.
Author경상남도
URLhttps://www.data.go.kr/data/15070590/fileData.do

Alerts

업종 has constant value ""Constant
연번 is highly overall correlated with 관할기관High correlation
관할기관 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
위치구분 is highly overall correlated with 관할기관High correlation
주요 취급품목 has 89 (41.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:41:11.139017
Analysis finished2024-03-14 15:41:12.868037
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct214
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.5
Minimum1
Maximum214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2024-03-15T00:41:13.103640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.65
Q154.25
median107.5
Q3160.75
95-th percentile203.35
Maximum214
Range213
Interquartile range (IQR)106.5

Descriptive statistics

Standard deviation61.920648
Coefficient of variation (CV)0.57600603
Kurtosis-1.2
Mean107.5
Median Absolute Deviation (MAD)53.5
Skewness0
Sum23005
Variance3834.1667
MonotonicityStrictly increasing
2024-03-15T00:41:13.567123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
136 1
 
0.5%
138 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
145 1
 
0.5%
Other values (204) 204
95.3%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
214 1
0.5%
213 1
0.5%
212 1
0.5%
211 1
0.5%
210 1
0.5%
209 1
0.5%
208 1
0.5%
207 1
0.5%
206 1
0.5%
205 1
0.5%

관할기관
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
양산시
39 
김해시
39 
함안군
15 
통영시
15 
창원시진해구
13 
Other values (15)
93 

Length

Max length8
Median length3
Mean length3.3691589
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양산시 39
18.2%
김해시 39
18.2%
함안군 15
 
7.0%
통영시 15
 
7.0%
창원시진해구 13
 
6.1%
하동군 12
 
5.6%
밀양시 12
 
5.6%
진주시 10
 
4.7%
합천군 9
 
4.2%
창녕군 8
 
3.7%
Other values (10) 42
19.6%

Length

2024-03-15T00:41:14.057932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양산시 39
18.2%
김해시 39
18.2%
함안군 15
 
7.0%
통영시 15
 
7.0%
창원시진해구 13
 
6.1%
하동군 12
 
5.6%
밀양시 12
 
5.6%
진주시 10
 
4.7%
합천군 9
 
4.2%
창녕군 8
 
3.7%
Other values (10) 42
19.6%

위치구분
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
90 
조례
41 
도시공원
22 
관광지
20 
공용재산
14 
Other values (5)
27 

Length

Max length9
Median length4
Mean length3.5046729
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 90
42.1%
조례 41
19.2%
도시공원 22
 
10.3%
관광지 20
 
9.3%
공용재산 14
 
6.5%
유원시설 14
 
6.5%
하천 6
 
2.8%
체육시설 4
 
1.9%
고속국도 졸음쉼터 2
 
0.9%
학교 1
 
0.5%

Length

2024-03-15T00:41:14.580408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:41:15.090643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 90
41.7%
조례 41
19.0%
도시공원 22
 
10.2%
관광지 20
 
9.3%
공용재산 14
 
6.5%
유원시설 14
 
6.5%
하천 6
 
2.8%
체육시설 4
 
1.9%
고속국도 2
 
0.9%
졸음쉼터 2
 
0.9%

업소명
Text

Distinct203
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-15T00:41:16.937026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length5.5046729
Min length2

Characters and Unicode

Total characters1178
Distinct characters334
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)89.7%

Sample

1st row골드스타(Gold Star)
2nd row핑카
3rd row꿀삐닭강정
4th row쌍따봉닭도리거제점(네모의꿈)
5th row드비치골프클럽푸드트럭
ValueCountFrequency (%)
푸드트럭 5
 
2.0%
워너비트럭 2
 
0.8%
그양반네 2
 
0.8%
정직유부 2
 
0.8%
중독 2
 
0.8%
커피벨트 2
 
0.8%
소문난타코야끼 2
 
0.8%
미소 2
 
0.8%
제이에스 2
 
0.8%
와따컴퍼니 2
 
0.8%
Other values (220) 225
90.7%
2024-03-15T00:41:18.959107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
드 41
 
3.5%
트 37
 
3.1%
푸 35
 
3.0%
34
 
2.9%
스 31
 
2.6%
이 28
 
2.4%
럭 25
 
2.1%
피 24
 
2.0%
카 21
 
1.8%
리 19
 
1.6%
Other values (324) 883
75.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1035
87.9%
Space Separator 34
 
2.9%
Lowercase Letter 30
 
2.5%
Decimal Number 21
 
1.8%
Uppercase Letter 19
 
1.6%
Close Punctuation 15
 
1.3%
Open Punctuation 15
 
1.3%
Other Punctuation 8
 
0.7%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 41
 
4.0%
트 37
 
3.6%
푸 35
 
3.4%
스 31
 
3.0%
이 28
 
2.7%
럭 25
 
2.4%
피 24
 
2.3%
카 21
 
2.0%
리 19
 
1.8%
페 19
 
1.8%
Other values (279) 755
72.9%
Lowercase Letter
ValueCountFrequency (%)
r 4
13.3%
a 4
13.3%
t 3
10.0%
i 3
10.0%
b 2
 
6.7%
e 2
 
6.7%
s 2
 
6.7%
o 2
 
6.7%
l 1
 
3.3%
d 1
 
3.3%
Other values (6) 6
20.0%
Uppercase Letter
ValueCountFrequency (%)
E 3
15.8%
F 2
10.5%
A 2
10.5%
C 2
10.5%
G 2
10.5%
O 2
10.5%
H 1
 
5.3%
R 1
 
5.3%
S 1
 
5.3%
P 1
 
5.3%
Other values (2) 2
10.5%
Decimal Number
ValueCountFrequency (%)
2 5
23.8%
0 5
23.8%
6 4
19.0%
4 2
 
9.5%
1 2
 
9.5%
8 1
 
4.8%
5 1
 
4.8%
3 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
& 4
50.0%
？ 1
 
12.5%
% 1
 
12.5%
, 1
 
12.5%
. 1
 
12.5%
Space Separator
ValueCountFrequency (%)
34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1035
87.9%
Common 94
 
8.0%
Latin 49
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 41
 
4.0%
트 37
 
3.6%
푸 35
 
3.4%
스 31
 
3.0%
이 28
 
2.7%
럭 25
 
2.4%
피 24
 
2.3%
카 21
 
2.0%
리 19
 
1.8%
페 19
 
1.8%
Other values (279) 755
72.9%
Latin
ValueCountFrequency (%)
r 4
 
8.2%
a 4
 
8.2%
E 3
 
6.1%
t 3
 
6.1%
i 3
 
6.1%
b 2
 
4.1%
e 2
 
4.1%
F 2
 
4.1%
A 2
 
4.1%
C 2
 
4.1%
Other values (18) 22
44.9%
Common
ValueCountFrequency (%)
34
36.2%
) 15
16.0%
( 15
16.0%
2 5
 
5.3%
0 5
 
5.3%
6 4
 
4.3%
& 4
 
4.3%
4 2
 
2.1%
1 2
 
2.1%
8 1
 
1.1%
Other values (7) 7
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1035
87.9%
ASCII 142
 
12.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
드 41
 
4.0%
트 37
 
3.6%
푸 35
 
3.4%
스 31
 
3.0%
이 28
 
2.7%
럭 25
 
2.4%
피 24
 
2.3%
카 21
 
2.0%
리 19
 
1.8%
페 19
 
1.8%
Other values (279) 755
72.9%
ASCII
ValueCountFrequency (%)
34
23.9%
) 15
 
10.6%
( 15
 
10.6%
2 5
 
3.5%
0 5
 
3.5%
6 4
 
2.8%
& 4
 
2.8%
r 4
 
2.8%
a 4
 
2.8%
E 3
 
2.1%
Other values (34) 49
34.5%
None
ValueCountFrequency (%)
？ 1
100.0%

인허가일
Date

Distinct171
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2015-06-26 00:00:00
Maximum2023-10-25 00:00:00
2024-03-15T00:41:19.446321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:41:19.881671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업소재지
Text

Distinct177
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2024-03-15T00:41:21.006568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length30.691589
Min length16

Characters and Unicode

Total characters6568
Distinct characters291
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

Unique153 ?
Unique (%)71.5%

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 214
 
16.6%
양산시 39
 
3.0%
김해시 39
 
3.0%
내 36
 
2.8%
창원시 23
 
1.8%
통영시 15
 
1.2%
함안군 15
 
1.2%
가락대로 15
 
1.2%
주차장 14
 
1.1%
진해구 13
 
1.0%
Other values (473) 868
67.2%
2024-03-15T00:41:22.399925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1078
 
16.4%
남 250
 
3.8%
경 232
 
3.5%
상 229
 
3.5%
도 227
 
3.5%
동 182
 
2.8%
1 167
 
2.5%
시 163
 
2.5%
( 128
 
1.9%
) 128
 
1.9%
Other values (281) 3784
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4330
65.9%
Space Separator 1078
 
16.4%
Decimal Number 788
 
12.0%
Open Punctuation 128
 
1.9%
Close Punctuation 128
 
1.9%
Dash Punctuation 87
 
1.3%
Other Punctuation 17
 
0.3%
Uppercase Letter 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 250
 
5.8%
경 232
 
5.4%
상 229
 
5.3%
도 227
 
5.2%
동 182
 
4.2%
시 163
 
3.8%
산 114
 
2.6%
로 113
 
2.6%
원 112
 
2.6%
해 102
 
2.4%
Other values (262) 2606
60.2%
Decimal Number
ValueCountFrequency (%)
1 167
21.2%
2 116
14.7%
9 83
10.5%
5 76
9.6%
6 70
8.9%
3 70
8.9%
4 62
 
7.9%
0 58
 
7.4%
8 53
 
6.7%
7 33
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
A 6
50.0%
B 4
33.3%
C 1
 
8.3%
D 1
 
8.3%
Space Separator
ValueCountFrequency (%)
1078
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4330
65.9%
Common 2226
33.9%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 250
 
5.8%
경 232
 
5.4%
상 229
 
5.3%
도 227
 
5.2%
동 182
 
4.2%
시 163
 
3.8%
산 114
 
2.6%
로 113
 
2.6%
원 112
 
2.6%
해 102
 
2.4%
Other values (262) 2606
60.2%
Common
ValueCountFrequency (%)
1078
48.4%
1 167
 
7.5%
( 128
 
5.8%
) 128
 
5.8%
2 116
 
5.2%
- 87
 
3.9%
9 83
 
3.7%
5 76
 
3.4%
6 70
 
3.1%
3 70
 
3.1%
Other values (5) 223
 
10.0%
Latin
ValueCountFrequency (%)
A 6
50.0%
B 4
33.3%
C 1
 
8.3%
D 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4330
65.9%
ASCII 2238
34.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1078
48.2%
1 167
 
7.5%
( 128
 
5.7%
) 128
 
5.7%
2 116
 
5.2%
- 87
 
3.9%
9 83
 
3.7%
5 76
 
3.4%
6 70
 
3.1%
3 70
 
3.1%
Other values (9) 235
 
10.5%
Hangul
ValueCountFrequency (%)
남 250
 
5.8%
경 232
 
5.4%
상 229
 
5.3%
도 227
 
5.2%
동 182
 
4.2%
시 163
 
3.8%
산 114
 
2.6%
로 113
 
2.6%
원 112
 
2.6%
해 102
 
2.4%
Other values (262) 2606
60.2%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
휴게음식점
214 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 214
100.0%

Length

2024-03-15T00:41:22.686326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:41:22.870826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 214
100.0%

주요 취급품목
Text

MISSING 

Distinct88
Distinct (%)70.4%
Missing89
Missing (%)41.6%
Memory size1.8 KiB
2024-03-15T00:41:23.730807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length23
Mean length6.336
Min length1

Characters and Unicode

Total characters792
Distinct characters140
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

Unique70 ?
Unique (%)56.0%

Sample

1st row홍콩와플, 소프트아이스크림
2nd row캐릭터솜사탕
3rd row닭강정
4th row돈가스, 스테이크
5th row약단밤, 핫도그, 옥수수, 식혜 등 분식류
ValueCountFrequency (%)
커피 22
 
10.6%
등 22
 
10.6%
닭꼬치 11
 
5.3%
핫도그 11
 
5.3%
음료류 9
 
4.3%
음료 9
 
4.3%
스테이크 7
 
3.4%
닭강정 6
 
2.9%
꼬치 6
 
2.9%
분식류 5
 
2.4%
Other values (81) 99
47.8%
2024-03-15T00:41:24.906106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
10.9%
, 72
 
9.1%
피 35
 
4.4%
커 33
 
4.2%
음 26
 
3.3%
료 26
 
3.3%
등 26
 
3.3%
치 24
 
3.0%
스 24
 
3.0%
꼬 22
 
2.8%
Other values (130) 418
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 625
78.9%
Space Separator 86
 
10.9%
Other Punctuation 75
 
9.5%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
피 35
 
5.6%
커 33
 
5.3%
음 26
 
4.2%
료 26
 
4.2%
등 26
 
4.2%
치 24
 
3.8%
스 24
 
3.8%
꼬 22
 
3.5%
닭 21
 
3.4%
류 19
 
3.0%
Other values (125) 369
59.0%
Other Punctuation
ValueCountFrequency (%)
, 72
96.0%
. 3
 
4.0%
Space Separator
ValueCountFrequency (%)
86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 625
78.9%
Common 167
 
21.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
피 35
 
5.6%
커 33
 
5.3%
음 26
 
4.2%
료 26
 
4.2%
등 26
 
4.2%
치 24
 
3.8%
스 24
 
3.8%
꼬 22
 
3.5%
닭 21
 
3.4%
류 19
 
3.0%
Other values (125) 369
59.0%
Common
ValueCountFrequency (%)
86
51.5%
, 72
43.1%
) 3
 
1.8%
. 3
 
1.8%
( 3
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 625
78.9%
ASCII 167
 
21.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
51.5%
, 72
43.1%
) 3
 
1.8%
. 3
 
1.8%
( 3
 
1.8%
Hangul
ValueCountFrequency (%)
피 35
 
5.6%
커 33
 
5.3%
음 26
 
4.2%
료 26
 
4.2%
등 26
 
4.2%
치 24
 
3.8%
스 24
 
3.8%
꼬 22
 
3.5%
닭 21
 
3.4%
류 19
 
3.0%
Other values (125) 369
59.0%

Interactions

2024-03-15T00:41:11.992818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T00:41:25.165748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관할기관위치구분주요 취급품목
연번1.0000.9830.6450.890
관할기관0.9831.0000.8890.961
위치구분0.6450.8891.0000.000
주요 취급품목0.8900.9610.0001.000
2024-03-15T00:41:25.416975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위치구분관할기관
위치구분1.0000.503
관할기관0.5031.000
2024-03-15T00:41:25.659586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관할기관위치구분
연번1.0000.7640.359
관할기관0.7641.0000.503
위치구분0.3590.5031.000

Missing values

2024-03-15T00:41:12.328088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:41:12.663053image/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
34거제시공용재산쌍따봉닭도리거제점(네모의꿈)2018-04-10경상남도 거제시 상동동 1005-12 독봉산 웰빙공원휴게음식점돈가스, 스테이크
45거제시<NA>드비치골프클럽푸드트럭2019-12-26경상남도 거제시 장목면 거제북로 1573(드비치골프장)휴게음식점<NA>
56거제시<NA>네모의꿈22023-08-28경상남도 거제시 상동1길 15-9(상동동, 덕산3차베스트타운)휴게음식점<NA>
67거제시<NA>찬카페2023-09-06경상남도 거제시 거제중앙로3길 15(상동동, 삼성명가타운)휴게음식점<NA>
78거창군조례수키까페2022-12-20경상남도 거창군 남상면 창포원길 21-1휴게음식점약단밤, 핫도그, 옥수수, 식혜 등 분식류
89거창군조례고니푸드2023-09-06경상남도 거창군 남하면 무릉리 975-1휴게음식점핫도그, 약단밤, 식혜, 옥수수 등
910고성군<NA>Paraiso(파라이소)2022-07-08경상남도 고성군 고성읍 공룡로 3083휴게음식점<NA>
연번관할기관위치구분업소명인허가일영업소재지업종주요 취급품목
204205함양군<NA>커피트립2022-09-01경상남도 함양군 함양읍 대덕리 263휴게음식점<NA>
205206합천군관광지행복한푸드 달달한？볶이2017-07-18경상남도 합천군 대병면 회양리 700-21휴게음식점떡뽂이, 소시지, 햄
206207합천군<NA>푸드트럭 달떡2018-07-18경상남도 합천군 용주면 황계폭포로 1239휴게음식점<NA>
207208합천군관광지율피카페2019-02-25경상남도 합천군 봉산면 영서로 1556휴게음식점커피, 음료 등
208209합천군<NA>율피카페22022-05-04경상남도 합천군 가회면 월계리 산 88휴게음식점<NA>
209210합천군<NA>토스트 앤 커피 박스2022-09-23경상남도 합천군 합천읍 영창리 898 신소양체육공원휴게음식점<NA>
210211합천군<NA>엽이네푸드2023-05-01경상남도 합천군 율곡면 임북리 810-1휴게음식점<NA>
211212합천군<NA>농업회사법인합천유통(주)2023-09-07경상남도 합천군 합천읍 장수로 1-1(합천공설운동장 주차장)휴게음식점<NA>
212213합천군<NA>해다미2023-09-08경상남도 합천군 율곡면 대야로 1319휴게음식점<NA>
213214합천군<NA>푸드트럭 달떡2023-10-10경상남도 합천군 합천읍 합천리 896-15휴게음식점<NA>