Overview

Dataset statistics

Number of variables7
Number of observations131
Missing cells27
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.4 KiB
Average record size in memory58.0 B

Variable types

Numeric1
Categorical3
Text3

Dataset

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

Alerts

위치구분 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 위치구분High correlation
연번 is highly overall correlated with 관할기관High correlation
관할기관 is highly overall correlated with 연번High correlation
업종 is highly imbalanced (93.5%)Imbalance
계약시설명 has 27 (20.6%) missing valuesMissing
연번 has unique valuesUnique
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:40:04.590824
Analysis finished2023-12-11 00:40:05.459057
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66
Minimum1
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-11T09:40:05.533543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.5
Q133.5
median66
Q398.5
95-th percentile124.5
Maximum131
Range130
Interquartile range (IQR)65

Descriptive statistics

Standard deviation37.960506
Coefficient of variation (CV)0.57515918
Kurtosis-1.2
Mean66
Median Absolute Deviation (MAD)33
Skewness0
Sum8646
Variance1441
MonotonicityStrictly increasing
2023-12-11T09:40:05.658636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
84 1
 
0.8%
98 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
Other values (121) 121
92.4%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
131 1
0.8%
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%

관할기관
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
김해시
39 
통영시
16 
양산시
15 
창원시 진해구
11 
창원시 의창구
9 
Other values (12)
41 

Length

Max length10
Median length4
Mean length4.7099237
Min length3

Unique

Unique3 ?
Unique (%)2.3%

Sample

1st row 거제시
2nd row 거제시
3rd row 거제시
4th row 거제시
5th row 거제시

Common Values

ValueCountFrequency (%)
김해시 39
29.8%
통영시 16
12.2%
양산시 15
 
11.5%
창원시 진해구 11
 
8.4%
창원시 의창구 9
 
6.9%
하동군 8
 
6.1%
거제시 6
 
4.6%
함안군 5
 
3.8%
창녕군 5
 
3.8%
창원시 마산합포구 3
 
2.3%
Other values (7) 14
 
10.7%

Length

2023-12-11T09:40:05.807697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김해시 39
25.3%
창원시 23
14.9%
통영시 16
10.4%
양산시 15
 
9.7%
진해구 11
 
7.1%
의창구 9
 
5.8%
하동군 8
 
5.2%
거제시 6
 
3.9%
창녕군 5
 
3.2%
함안군 5
 
3.2%
Other values (8) 17
11.0%

업체명
Text

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T09:40:06.025958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length5.5801527
Min length2

Characters and Unicode

Total characters731
Distinct characters282
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st row골드스타(Gold Star)
2nd row핑카
3rd row꿀삐닭강정
4th row시청와플
5th row드비치골프클럽푸드트럭
ValueCountFrequency (%)
닭꼬치 2
 
1.4%
골드스타(gold 1
 
0.7%
알프스화덕피자 1
 
0.7%
카페오다 1
 
0.7%
쿡앤그릴 1
 
0.7%
오네뜨츄러스 1
 
0.7%
오늘밤새우자 1
 
0.7%
런던솜사탕 1
 
0.7%
꼴통버거＆꼴통꼬치 1
 
0.7%
티로스 1
 
0.7%
Other values (137) 137
92.6%
2023-12-11T09:40:06.357338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 20
 
2.7%
드 18
 
2.5%
이 17
 
2.3%
트 17
 
2.3%
17
 
2.3%
푸 15
 
2.1%
피 13
 
1.8%
카 12
 
1.6%
럭 11
 
1.5%
치 10
 
1.4%
Other values (272) 581
79.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 640
87.6%
Lowercase Letter 24
 
3.3%
Uppercase Letter 20
 
2.7%
Space Separator 17
 
2.3%
Decimal Number 10
 
1.4%
Open Punctuation 7
 
1.0%
Close Punctuation 7
 
1.0%
Other Punctuation 4
 
0.5%
Math Symbol 1
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 20
 
3.1%
드 18
 
2.8%
이 17
 
2.7%
트 17
 
2.7%
푸 15
 
2.3%
피 13
 
2.0%
카 12
 
1.9%
럭 11
 
1.7%
치 10
 
1.6%
닭 10
 
1.6%
Other values (231) 497
77.7%
Lowercase Letter
ValueCountFrequency (%)
a 5
20.8%
e 3
12.5%
b 2
 
8.3%
i 2
 
8.3%
r 2
 
8.3%
t 2
 
8.3%
d 1
 
4.2%
l 1
 
4.2%
o 1
 
4.2%
n 1
 
4.2%
Other values (4) 4
16.7%
Uppercase Letter
ValueCountFrequency (%)
C 7
35.0%
J 2
 
10.0%
S 1
 
5.0%
G 1
 
5.0%
A 1
 
5.0%
F 1
 
5.0%
E 1
 
5.0%
K 1
 
5.0%
U 1
 
5.0%
D 1
 
5.0%
Other values (3) 3
15.0%
Decimal Number
ValueCountFrequency (%)
3 3
30.0%
2 2
20.0%
5 2
20.0%
1 1
 
10.0%
8 1
 
10.0%
9 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
＆ 1
25.0%
. 1
25.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 640
87.6%
Common 47
 
6.4%
Latin 44
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 20
 
3.1%
드 18
 
2.8%
이 17
 
2.7%
트 17
 
2.7%
푸 15
 
2.3%
피 13
 
2.0%
카 12
 
1.9%
럭 11
 
1.7%
치 10
 
1.6%
닭 10
 
1.6%
Other values (231) 497
77.7%
Latin
ValueCountFrequency (%)
C 7
15.9%
a 5
 
11.4%
e 3
 
6.8%
J 2
 
4.5%
b 2
 
4.5%
i 2
 
4.5%
r 2
 
4.5%
t 2
 
4.5%
S 1
 
2.3%
d 1
 
2.3%
Other values (17) 17
38.6%
Common
ValueCountFrequency (%)
17
36.2%
( 7
14.9%
) 7
14.9%
3 3
 
6.4%
2 2
 
4.3%
& 2
 
4.3%
5 2
 
4.3%
＆ 1
 
2.1%
1 1
 
2.1%
+ 1
 
2.1%
Other values (4) 4
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 640
87.6%
ASCII 89
 
12.2%
None 1
 
0.1%
Letterlike Symbols 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 20
 
3.1%
드 18
 
2.8%
이 17
 
2.7%
트 17
 
2.7%
푸 15
 
2.3%
피 13
 
2.0%
카 12
 
1.9%
럭 11
 
1.7%
치 10
 
1.6%
닭 10
 
1.6%
Other values (231) 497
77.7%
ASCII
ValueCountFrequency (%)
17
19.1%
C 7
 
7.9%
( 7
 
7.9%
) 7
 
7.9%
a 5
 
5.6%
e 3
 
3.4%
3 3
 
3.4%
J 2
 
2.2%
b 2
 
2.2%
2 2
 
2.2%
Other values (29) 34
38.2%
None
ValueCountFrequency (%)
＆ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

업종
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
휴게음식점
130 
제과점
 
1

Length

Max length5
Median length5
Mean length4.9847328
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 130
99.2%
제과점 1
 
0.8%

Length

2023-12-11T09:40:06.492478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:40:06.582839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 130
99.2%
제과점 1
 
0.8%

영업소재지
Text

Distinct99
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-11T09:40:06.742853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length28.007634
Min length12

Characters and Unicode

Total characters3669
Distinct characters247
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

Unique78 ?
Unique (%)59.5%

Sample

1st row 거제시 계룡로 125(거제시청 고현동)
2nd row 거제시 일운면 소동리 457-10 지세포항 친수공간
3rd row 거제시 양정동 981 거제시보건소
4th row 거제시 상동동 1005-12 독봉산 웰빙공원
5th row 거제시 장목면 거제북로 1573(드비치골프장)
ValueCountFrequency (%)
김해시 39
 
5.7%
내 29
 
4.2%
창원시 23
 
3.3%
통영시 16
 
2.3%
양산시 15
 
2.2%
가락대로 11
 
1.6%
주차장 11
 
1.6%
진해구 11
 
1.6%
내동 10
 
1.5%
김해대로 10
 
1.5%
Other values (278) 513
74.6%
2023-12-11T09:40:07.092392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
688
 
18.8%
동 127
 
3.5%
시 112
 
3.1%
1 109
 
3.0%
해 100
 
2.7%
로 82
 
2.2%
( 81
 
2.2%
) 81
 
2.2%
2 74
 
2.0%
원 72
 
2.0%
Other values (237) 2143
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2249
61.3%
Space Separator 688
 
18.8%
Decimal Number 505
 
13.8%
Open Punctuation 81
 
2.2%
Close Punctuation 81
 
2.2%
Dash Punctuation 53
 
1.4%
Other Punctuation 7
 
0.2%
Uppercase Letter 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 127
 
5.6%
시 112
 
5.0%
해 100
 
4.4%
로 82
 
3.6%
원 72
 
3.2%
김 63
 
2.8%
대 55
 
2.4%
산 52
 
2.3%
내 46
 
2.0%
창 46
 
2.0%
Other values (219) 1494
66.4%
Decimal Number
ValueCountFrequency (%)
1 109
21.6%
2 74
14.7%
9 57
11.3%
3 54
10.7%
5 52
10.3%
6 44
8.7%
0 34
 
6.7%
4 29
 
5.7%
8 28
 
5.5%
7 24
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
B 2
50.0%
Space Separator
ValueCountFrequency (%)
688
100.0%
Open Punctuation
ValueCountFrequency (%)
( 81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2249
61.3%
Common 1416
38.6%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 127
 
5.6%
시 112
 
5.0%
해 100
 
4.4%
로 82
 
3.6%
원 72
 
3.2%
김 63
 
2.8%
대 55
 
2.4%
산 52
 
2.3%
내 46
 
2.0%
창 46
 
2.0%
Other values (219) 1494
66.4%
Common
ValueCountFrequency (%)
688
48.6%
1 109
 
7.7%
( 81
 
5.7%
) 81
 
5.7%
2 74
 
5.2%
9 57
 
4.0%
3 54
 
3.8%
- 53
 
3.7%
5 52
 
3.7%
6 44
 
3.1%
Other values (6) 123
 
8.7%
Latin
ValueCountFrequency (%)
A 2
50.0%
B 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2249
61.3%
ASCII 1420
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
688
48.5%
1 109
 
7.7%
( 81
 
5.7%
) 81
 
5.7%
2 74
 
5.2%
9 57
 
4.0%
3 54
 
3.8%
- 53
 
3.7%
5 52
 
3.7%
6 44
 
3.1%
Other values (8) 127
 
8.9%
Hangul
ValueCountFrequency (%)
동 127
 
5.6%
시 112
 
5.0%
해 100
 
4.4%
로 82
 
3.6%
원 72
 
3.2%
김 63
 
2.8%
대 55
 
2.4%
산 52
 
2.3%
내 46
 
2.0%
창 46
 
2.0%
Other values (219) 1494
66.4%

위치구분
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
28 
공용재산
21 
조례
21 
유원시설
19 
도시공원
16 
Other values (5)
26 

Length

Max length9
Median length4
Mean length3.5267176
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
21.4%
공용재산 21
16.0%
조례 21
16.0%
유원시설 19
14.5%
도시공원 16
12.2%
관광지 12
9.2%
하천 5
 
3.8%
학교 4
 
3.1%
체육시설 3
 
2.3%
고속국도 졸음쉼터 2
 
1.5%

Length

2023-12-11T09:40:07.217498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:40:07.355947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
21.1%
공용재산 21
15.8%
조례 21
15.8%
유원시설 19
14.3%
도시공원 16
12.0%
관광지 12
9.0%
하천 5
 
3.8%
학교 4
 
3.0%
체육시설 3
 
2.3%
고속국도 2
 
1.5%

계약시설명
Text

MISSING 

Distinct64
Distinct (%)61.5%
Missing27
Missing (%)20.6%
Memory size1.2 KiB
2023-12-11T09:40:07.600244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length9.4903846
Min length2

Characters and Unicode

Total characters987
Distinct characters194
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)41.3%

Sample

1st row시청,지세포항친수공간,보건소,독봉산웰빙공
2nd row시청,지세포항친수공간,보건소,독봉산웰빙공
3rd row시청,지세포항친수공간,보건소,독봉산웰빙공
4th row시청,지세포항친수공간,보건소,독봉산웰빙공
5th row도로
ValueCountFrequency (%)
내 17
 
10.4%
해반천 10
 
6.1%
김해청춘푸드트럭존 10
 
6.1%
케이블카 5
 
3.1%
파크랜드 5
 
3.1%
렛츠런파크 5
 
3.1%
시청,지세포항친수공간,보건소,독봉산웰빙공 4
 
2.5%
이순신공원 4
 
2.5%
인제대학교 3
 
1.8%
부산경남 3
 
1.8%
Other values (77) 97
59.5%
2023-12-11T09:40:07.971454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
 
6.1%
해 33
 
3.3%
원 32
 
3.2%
공 29
 
2.9%
내 20
 
2.0%
산 20
 
2.0%
동 20
 
2.0%
파 19
 
1.9%
드 19
 
1.9%
크 19
 
1.9%
Other values (184) 716
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 900
91.2%
Space Separator 60
 
6.1%
Other Punctuation 12
 
1.2%
Decimal Number 9
 
0.9%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 33
 
3.7%
원 32
 
3.6%
공 29
 
3.2%
내 20
 
2.2%
산 20
 
2.2%
동 20
 
2.2%
파 19
 
2.1%
드 19
 
2.1%
크 19
 
2.1%
장 17
 
1.9%
Other values (172) 672
74.7%
Decimal Number
ValueCountFrequency (%)
1 2
22.2%
0 2
22.2%
2 2
22.2%
5 1
11.1%
8 1
11.1%
7 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 898
91.0%
Common 85
 
8.6%
Han 2
 
0.2%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 33
 
3.7%
원 32
 
3.6%
공 29
 
3.2%
내 20
 
2.2%
산 20
 
2.2%
동 20
 
2.2%
파 19
 
2.1%
드 19
 
2.1%
크 19
 
2.1%
장 17
 
1.9%
Other values (170) 670
74.6%
Common
ValueCountFrequency (%)
60
70.6%
, 12
 
14.1%
( 2
 
2.4%
1 2
 
2.4%
) 2
 
2.4%
0 2
 
2.4%
2 2
 
2.4%
5 1
 
1.2%
8 1
 
1.2%
7 1
 
1.2%
Han
ValueCountFrequency (%)
場 1
50.0%
路 1
50.0%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 898
91.0%
ASCII 87
 
8.8%
CJK 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
69.0%
, 12
 
13.8%
( 2
 
2.3%
1 2
 
2.3%
) 2
 
2.3%
0 2
 
2.3%
2 2
 
2.3%
5 1
 
1.1%
8 1
 
1.1%
B 1
 
1.1%
Other values (2) 2
 
2.3%
Hangul
ValueCountFrequency (%)
해 33
 
3.7%
원 32
 
3.6%
공 29
 
3.2%
내 20
 
2.2%
산 20
 
2.2%
동 20
 
2.2%
파 19
 
2.1%
드 19
 
2.1%
크 19
 
2.1%
장 17
 
1.9%
Other values (170) 670
74.6%
CJK
ValueCountFrequency (%)
場 1
50.0%
路 1
50.0%

Interactions

2023-12-11T09:40:05.230024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:40:08.056873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관할기관업종영업소재지위치구분계약시설명
연번1.0000.9350.0450.9940.7170.993
관할기관0.9351.0000.0001.0000.7961.000
업종0.0450.0001.0000.000NaNNaN
영업소재지0.9941.0000.0001.0001.0001.000
위치구분0.7170.796NaN1.0001.0001.000
계약시설명0.9931.000NaN1.0001.0001.000
2023-12-11T09:40:08.152205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위치구분관할기관업종
위치구분1.0000.4821.000
관할기관0.4821.0000.000
업종1.0000.0001.000
2023-12-11T09:40:08.232994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관할기관업종위치구분
연번1.0000.7100.0240.450
관할기관0.7101.0000.0000.482
업종0.0240.0001.0001.000
위치구분0.4500.4821.0001.000

Missing values

2023-12-11T09:40:05.320140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:40:05.417752image/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

연번관할기관업체명업종영업소재지위치구분계약시설명
01거제시골드스타(Gold Star)휴게음식점거제시 계룡로 125(거제시청 고현동)공용재산시청,지세포항친수공간,보건소,독봉산웰빙공
12거제시핑카휴게음식점거제시 일운면 소동리 457-10 지세포항 친수공간공용재산시청,지세포항친수공간,보건소,독봉산웰빙공
23거제시꿀삐닭강정휴게음식점거제시 양정동 981 거제시보건소공용재산시청,지세포항친수공간,보건소,독봉산웰빙공
34거제시시청와플휴게음식점거제시 상동동 1005-12 독봉산 웰빙공원공용재산시청,지세포항친수공간,보건소,독봉산웰빙공
45거제시드비치골프클럽푸드트럭휴게음식점거제시 장목면 거제북로 1573(드비치골프장)<NA><NA>
56거제시다이버수산휴게음식점거제시 거제중앙로3길 15(상동동, 삼성명가타운)<NA><NA>
67거창군꼴통점빵휴게음식점거창군 거창읍 상림리 155-191공용재산도로
78김해시꼬꼬댁푸드휴게음식점김해시 가락대로 929-1(수가동, 더비랜드 내)관광지렛츠런파크부산경남
89김해시할리트럭휴게음식점김해시 가락대로 929-1(수가동, 더비랜드 내)관광지렛츠런파크부산경남
910김해시호순이네휴게음식점김해시 가락대로 929-1(수가동, 더비랜드 내)관광지렛츠런파크부산경남
연번관할기관업체명업종영업소재지위치구분계약시설명
121122하동군더마미닭강정휴게음식점하동군 하동읍 광평리 49<NA><NA>
122123하동군빈카페휴게음식점하동군 북천면 직전리 613-5<NA><NA>
123124합천군행복한푸드 달달한 떡볶이휴게음식점합천군 대병면 회양리 700-21관광지합천호 회양관광단지내
124125합천군대장경 스낵휴게음식점합천군 가야면 가야산로 1160공용재산대장경테마파크
125126합천군율피카페휴게음식점합천군 봉산면 영서로 1556관광지국립공원
126127함안군함안농부협동조합휴게음식점함안군 가야읍 도항리 249-50도시공원함안농부협동조합
127128함안군악양카페휴게음식점함안군 대산면 하기리 807-4 (악양생태공원 내 지정구역)도시공원악양카페
128129함안군입곡 그린카페휴게음식점함안군 산인면 성산로 402도시공원입곡 그린카페
129130함안군닭에꼬치다휴게음식점함안군 가야읍 함안대로 619-6(함주공원 내)도시공원닭에꼬치다
130131함안군로드밥휴게음식점함안군 가야읍 함안대로 619-6(함주공원 내)도시공원로드밥