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

Description휴게음식점(고속도로, 철도역구내, 관광호텔, 다방, 백화점, 유원지, 전통찻집, 패스트푸드, 편의점 등) 관련 정보입니다.
Author경상남도
URLhttps://www.data.go.kr/data/15069264/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 started2023-12-12 04:27:16.154598
Analysis finished2023-12-12 04:27:17.969132
Duration1.81 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%
Mean7094.4362
Minimum3
Maximum14139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T13:27:18.045924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile694.95
Q13566.75
median7118.5
Q310658.25
95-th percentile13446.1
Maximum14139
Range14136
Interquartile range (IQR)7091.5

Descriptive statistics

Standard deviation4096.648
Coefficient of variation (CV)0.57744518
Kurtosis-1.2089519
Mean7094.4362
Median Absolute Deviation (MAD)3547
Skewness-0.0087523934
Sum70944362
Variance16782525
MonotonicityNot monotonic
2023-12-12T13:27:18.221617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1981 1
 
< 0.1%
12854 1
 
< 0.1%
8967 1
 
< 0.1%
14078 1
 
< 0.1%
1550 1
 
< 0.1%
3235 1
 
< 0.1%
11375 1
 
< 0.1%
12934 1
 
< 0.1%
1593 1
 
< 0.1%
9212 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
4 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
16 1
< 0.1%
17 1
< 0.1%
ValueCountFrequency (%)
14139 1
< 0.1%
14138 1
< 0.1%
14137 1
< 0.1%
14136 1
< 0.1%
14135 1
< 0.1%
14133 1
< 0.1%
14132 1
< 0.1%
14131 1
< 0.1%
14130 1
< 0.1%
14129 1
< 0.1%

인허가관할기관
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
김해시
1511 
진주시
1085 
창원시 성산구
1007 
양산시
978 
창원시 의창구
782 
Other values (17)
4637 

Length

Max length9
Median length3
Mean length4.5324
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row김해시
2nd row창원시 진해구
3rd row양산시
4th row창원시 의창구
5th row창원시 마산합포구

Common Values

ValueCountFrequency (%)
김해시 1511
15.1%
진주시 1085
10.8%
창원시 성산구 1007
10.1%
양산시 978
9.8%
창원시 의창구 782
 
7.8%
거제시 682
 
6.8%
창원시 진해구 566
 
5.7%
창원시 마산합포구 522
 
5.2%
창원시 마산회원구 462
 
4.6%
통영시 411
 
4.1%
Other values (12) 1994
19.9%

Length

2023-12-12T13:27:18.394867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 3339
25.0%
김해시 1511
11.3%
진주시 1085
 
8.1%
성산구 1007
 
7.5%
양산시 978
 
7.3%
의창구 782
 
5.9%
거제시 682
 
5.1%
진해구 566
 
4.2%
마산합포구 522
 
3.9%
마산회원구 462
 
3.5%
Other values (13) 2405
18.0%

업소명
Text

Distinct9571
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:27:18.706217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length8.1334
Min length1

Characters and Unicode

Total characters81334
Distinct characters1020
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9323 ?
Unique (%)93.2%

Sample

1st row정직유부 내외동점
2nd row카페마실터
3rd rowGS25 삼호동부점
4th row피자레오&돈스
5th row남양
ValueCountFrequency (%)
세븐일레븐 226
 
1.7%
씨유 156
 
1.2%
gs25 104
 
0.8%
카페 99
 
0.7%
지에스25 75
 
0.6%
coffee 72
 
0.5%
컴포즈커피 70
 
0.5%
하삼동커피 64
 
0.5%
이마트24 56
 
0.4%
지에스(gs)25 50
 
0.4%
Other values (9926) 12431
92.7%
2023-12-12T13:27:19.202422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 4175
 
5.1%
3413
 
4.2%
스 1860
 
2.3%
피 1576
 
1.9%
이 1413
 
1.7%
커 1259
 
1.5%
( 1257
 
1.5%
) 1256
 
1.5%
카 1053
 
1.3%
페 1032
 
1.3%
Other values (1010) 63040
77.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65330
80.3%
Uppercase Letter 4240
 
5.2%
Space Separator 3413
 
4.2%
Lowercase Letter 3033
 
3.7%
Decimal Number 2514
 
3.1%
Open Punctuation 1259
 
1.5%
Close Punctuation 1258
 
1.5%
Other Punctuation 241
 
0.3%
Dash Punctuation 30
 
< 0.1%
Connector Punctuation 10
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 4175
 
6.4%
스 1860
 
2.8%
피 1576
 
2.4%
이 1413
 
2.2%
커 1259
 
1.9%
카 1053
 
1.6%
페 1032
 
1.6%
산 978
 
1.5%
마 905
 
1.4%
원 894
 
1.4%
Other values (925) 50185
76.8%
Uppercase Letter
ValueCountFrequency (%)
C 563
13.3%
S 544
12.8%
G 473
11.2%
E 371
 
8.8%
O 267
 
6.3%
P 258
 
6.1%
A 188
 
4.4%
U 175
 
4.1%
F 174
 
4.1%
T 163
 
3.8%
Other values (16) 1064
25.1%
Lowercase Letter
ValueCountFrequency (%)
e 539
17.8%
o 308
10.2%
a 293
9.7%
f 270
 
8.9%
c 208
 
6.9%
n 173
 
5.7%
i 151
 
5.0%
r 150
 
4.9%
s 115
 
3.8%
t 110
 
3.6%
Other values (15) 716
23.6%
Other Punctuation
ValueCountFrequency (%)
& 79
32.8%
, 53
22.0%
. 37
15.4%
' 21
 
8.7%
/ 12
 
5.0%
# 11
 
4.6%
？ 10
 
4.1%
: 6
 
2.5%
; 3
 
1.2%
? 3
 
1.2%
Other values (4) 6
 
2.5%
Decimal Number
ValueCountFrequency (%)
2 864
34.4%
5 712
28.3%
1 220
 
8.8%
0 166
 
6.6%
4 163
 
6.5%
3 108
 
4.3%
9 93
 
3.7%
6 73
 
2.9%
7 61
 
2.4%
8 54
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 1257
99.8%
[ 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1256
99.8%
] 2
 
0.2%
Space Separator
ValueCountFrequency (%)
3413
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65310
80.3%
Common 8729
 
10.7%
Latin 7275
 
8.9%
Han 20
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 4175
 
6.4%
스 1860
 
2.8%
피 1576
 
2.4%
이 1413
 
2.2%
커 1259
 
1.9%
카 1053
 
1.6%
페 1032
 
1.6%
산 978
 
1.5%
마 905
 
1.4%
원 894
 
1.4%
Other values (908) 50165
76.8%
Latin
ValueCountFrequency (%)
C 563
 
7.7%
S 544
 
7.5%
e 539
 
7.4%
G 473
 
6.5%
E 371
 
5.1%
o 308
 
4.2%
a 293
 
4.0%
f 270
 
3.7%
O 267
 
3.7%
P 258
 
3.5%
Other values (42) 3389
46.6%
Common
ValueCountFrequency (%)
3413
39.1%
( 1257
 
14.4%
) 1256
 
14.4%
2 864
 
9.9%
5 712
 
8.2%
1 220
 
2.5%
0 166
 
1.9%
4 163
 
1.9%
3 108
 
1.2%
9 93
 
1.1%
Other values (23) 477
 
5.5%
Han
ValueCountFrequency (%)
愛 3
15.0%
月 2
 
10.0%
明 1
 
5.0%
中 1
 
5.0%
山 1
 
5.0%
四 1
 
5.0%
季 1
 
5.0%
家 1
 
5.0%
空 1
 
5.0%
間 1
 
5.0%
Other values (7) 7
35.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65301
80.3%
ASCII 15988
 
19.7%
CJK 20
 
< 0.1%
None 12
 
< 0.1%
Compat Jamo 9
 
< 0.1%
Number Forms 2
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 4175
 
6.4%
스 1860
 
2.8%
피 1576
 
2.4%
이 1413
 
2.2%
커 1259
 
1.9%
카 1053
 
1.6%
페 1032
 
1.6%
산 978
 
1.5%
마 905
 
1.4%
원 894
 
1.4%
Other values (903) 50156
76.8%
ASCII
ValueCountFrequency (%)
3413
21.3%
( 1257
 
7.9%
) 1256
 
7.9%
2 864
 
5.4%
5 712
 
4.5%
C 563
 
3.5%
S 544
 
3.4%
e 539
 
3.4%
G 473
 
3.0%
E 371
 
2.3%
Other values (71) 5996
37.5%
None
ValueCountFrequency (%)
？ 10
83.3%
· 2
 
16.7%
Compat Jamo
ValueCountFrequency (%)
ㅋ 4
44.4%
ㅇ 2
22.2%
ㅁ 1
 
11.1%
ㅍ 1
 
11.1%
ㅛ 1
 
11.1%
CJK
ValueCountFrequency (%)
愛 3
15.0%
月 2
 
10.0%
明 1
 
5.0%
中 1
 
5.0%
山 1
 
5.0%
四 1
 
5.0%
季 1
 
5.0%
家 1
 
5.0%
空 1
 
5.0%
間 1
 
5.0%
Other values (7) 7
35.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 2
100.0%

업종
Categorical

CONSTANT 

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

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 10000
100.0%

Length

2023-12-12T13:27:19.366798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:27:19.456311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 10000
100.0%

업태
Categorical

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
커피숍
4097 
일반조리판매
1546 
기타 휴게음식점
1524 
편의점
1395 
다방
516 
Other values (13)
922 

Length

Max length8
Median length3
Mean length4.3147
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반조리판매
2nd row커피숍
3rd row기타 휴게음식점
4th row일반조리판매
5th row커피숍

Common Values

ValueCountFrequency (%)
커피숍 4097
41.0%
일반조리판매 1546
 
15.5%
기타 휴게음식점 1524
 
15.2%
편의점 1395
 
14.0%
다방 516
 
5.2%
패스트푸드 492
 
4.9%
푸드트럭 120
 
1.2%
전통찻집 81
 
0.8%
아이스크림 59
 
0.6%
고속도로 45
 
0.4%
Other values (8) 125
 
1.2%

Length

2023-12-12T13:27:19.559711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
커피숍 4097
35.6%
일반조리판매 1546
 
13.4%
기타 1524
 
13.2%
휴게음식점 1524
 
13.2%
편의점 1395
 
12.1%
다방 516
 
4.5%
패스트푸드 492
 
4.3%
푸드트럭 120
 
1.0%
전통찻집 81
 
0.7%
아이스크림 59
 
0.5%
Other values (9) 170
 
1.5%

업소주소
Text

Distinct9778
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T13:27:19.881348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length57
Mean length31.0212
Min length16

Characters and Unicode

Total characters310212
Distinct characters656
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9602 ?
Unique (%)96.0%

Sample

1st row경상남도 김해시 함박로101번길 18(한성빌딩 1층 112호 외동)
2nd row경상남도 창원시 진해구 천자로 434(2층 풍호동, 노인종합복지관)
3rd row경상남도 양산시 연호14길 15(삼호동)
4th row경상남도 창원시 의창구 원이대로 277(105호 봉곡동, 봉곡동 고려상가)
5th row경상남도 창원시 마산합포구 장장군로 31-23(1층 일부호 장군동4가)
ValueCountFrequency (%)
경상남도 10000
 
16.9%
창원시 3339
 
5.6%
김해시 1511
 
2.5%
1층 1201
 
2.0%
진주시 1085
 
1.8%
양산시 978
 
1.6%
의창구 928
 
1.6%
성산구 861
 
1.5%
거제시 682
 
1.1%
진해구 566
 
1.0%
Other values (11869) 38195
64.4%
2023-12-12T13:27:20.314518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49383
 
15.9%
1 17311
 
5.6%
상 11722
 
3.8%
남 11536
 
3.7%
도 10501
 
3.4%
경 10206
 
3.3%
동 9739
 
3.1%
시 9059
 
2.9%
) 8744
 
2.8%
( 8744
 
2.8%
Other values (646) 163267
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 187419
60.4%
Decimal Number 50611
 
16.3%
Space Separator 49383
 
15.9%
Close Punctuation 8756
 
2.8%
Open Punctuation 8756
 
2.8%
Other Punctuation 2276
 
0.7%
Dash Punctuation 2260
 
0.7%
Uppercase Letter 558
 
0.2%
Math Symbol 101
 
< 0.1%
Lowercase Letter 88
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 11722
 
6.3%
남 11536
 
6.2%
도 10501
 
5.6%
경 10206
 
5.4%
동 9739
 
5.2%
시 9059
 
4.8%
로 8172
 
4.4%
층 6709
 
3.6%
창 5233
 
2.8%
원 4794
 
2.6%
Other values (571) 99748
53.2%
Uppercase Letter
ValueCountFrequency (%)
A 115
20.6%
B 105
18.8%
S 56
10.0%
C 40
 
7.2%
G 33
 
5.9%
D 25
 
4.5%
K 23
 
4.1%
P 18
 
3.2%
M 14
 
2.5%
E 14
 
2.5%
Other values (16) 115
20.6%
Lowercase Letter
ValueCountFrequency (%)
e 28
31.8%
o 9
 
10.2%
a 6
 
6.8%
t 5
 
5.7%
c 5
 
5.7%
l 4
 
4.5%
y 4
 
4.5%
r 4
 
4.5%
k 4
 
4.5%
w 3
 
3.4%
Other values (9) 16
18.2%
Decimal Number
ValueCountFrequency (%)
1 17311
34.2%
2 6920
 
13.7%
0 4674
 
9.2%
3 4569
 
9.0%
4 3668
 
7.2%
5 3405
 
6.7%
6 2900
 
5.7%
7 2600
 
5.1%
8 2303
 
4.6%
9 2261
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 2136
93.8%
· 82
 
3.6%
. 29
 
1.3%
* 12
 
0.5%
& 5
 
0.2%
/ 4
 
0.2%
@ 4
 
0.2%
: 3
 
0.1%
？ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 95
94.1%
< 3
 
3.0%
> 3
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 8744
99.9%
] 12
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 8744
99.9%
[ 12
 
0.1%
Space Separator
ValueCountFrequency (%)
49383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2260
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 187419
60.4%
Common 122147
39.4%
Latin 646
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 11722
 
6.3%
남 11536
 
6.2%
도 10501
 
5.6%
경 10206
 
5.4%
동 9739
 
5.2%
시 9059
 
4.8%
로 8172
 
4.4%
층 6709
 
3.6%
창 5233
 
2.8%
원 4794
 
2.6%
Other values (571) 99748
53.2%
Latin
ValueCountFrequency (%)
A 115
17.8%
B 105
16.3%
S 56
 
8.7%
C 40
 
6.2%
G 33
 
5.1%
e 28
 
4.3%
D 25
 
3.9%
K 23
 
3.6%
P 18
 
2.8%
M 14
 
2.2%
Other values (35) 189
29.3%
Common
ValueCountFrequency (%)
49383
40.4%
1 17311
 
14.2%
) 8744
 
7.2%
( 8744
 
7.2%
2 6920
 
5.7%
0 4674
 
3.8%
3 4569
 
3.7%
4 3668
 
3.0%
5 3405
 
2.8%
6 2900
 
2.4%
Other values (20) 11829
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 187419
60.4%
ASCII 122707
39.6%
None 83
 
< 0.1%
CJK Compat 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49383
40.2%
1 17311
 
14.1%
) 8744
 
7.1%
( 8744
 
7.1%
2 6920
 
5.6%
0 4674
 
3.8%
3 4569
 
3.7%
4 3668
 
3.0%
5 3405
 
2.8%
6 2900
 
2.4%
Other values (62) 12389
 
10.1%
Hangul
ValueCountFrequency (%)
상 11722
 
6.3%
남 11536
 
6.2%
도 10501
 
5.6%
경 10206
 
5.4%
동 9739
 
5.2%
시 9059
 
4.8%
로 8172
 
4.4%
층 6709
 
3.6%
창 5233
 
2.8%
원 4794
 
2.6%
Other values (571) 99748
53.2%
None
ValueCountFrequency (%)
· 82
98.8%
？ 1
 
1.2%
CJK Compat
ValueCountFrequency (%)
㎡ 3
100.0%

Interactions

2023-12-12T13:27:17.596030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:27:20.399810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.9660.304
인허가관할기관0.9661.0000.413
업태0.3040.4131.000
2023-12-12T13:27:20.472548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가관할기관업태
인허가관할기관1.0000.135
업태0.1351.000
2023-12-12T13:27:20.546512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인허가관할기관업태
연번1.0000.8220.123
인허가관할기관0.8221.0000.135
업태0.1230.1351.000

Missing values

2023-12-12T13:27:17.781611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:27:17.909851image/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
19801981김해시정직유부 내외동점휴게음식점일반조리판매경상남도 김해시 함박로101번길 18(한성빌딩 1층 112호 외동)
1210512106창원시 진해구카페마실터휴게음식점커피숍경상남도 창원시 진해구 천자로 434(2층 풍호동, 노인종합복지관)
47844785양산시GS25 삼호동부점휴게음식점기타 휴게음식점경상남도 양산시 연호14길 15(삼호동)
1109411095창원시 의창구피자레오&돈스휴게음식점일반조리판매경상남도 창원시 의창구 원이대로 277(105호 봉곡동, 봉곡동 고려상가)
85418542창원시 마산합포구남양휴게음식점커피숍경상남도 창원시 마산합포구 장장군로 31-23(1층 일부호 장군동4가)
77177718진주시고흐프(kohp)휴게음식점커피숍경상남도 진주시 진주역로 114(상가4동 1층 110호 가좌동, 시티프라디움)
74597460진주시어학원카페휴게음식점편의점경상남도 진주시 진주대로 501(경상국립대학교 가좌캠퍼스 컴퓨터과학관동 1층 일부호 가좌동)
49064907양산시달리는커피 양산가촌점휴게음식점커피숍경상남도 양산시 물금읍 새실로 159(나래메트로시티 D동 105호)
14601461김해시하삼동커피 김해시청점휴게음식점커피숍경상남도 김해시 호계로422번길 2-1(1층 부원동)
23402341김해시아이비스 PC 카페 김해진영점휴게음식점기타 휴게음식점경상남도 김해시 진영읍 본산로 17(3층)
연번인허가관할기관업소명업종업태업소주소
1305813059통영시씨유뉴죽림스마일점휴게음식점편의점경상남도 통영시 광도면 죽림해안로 34-7
75607561진주시씨유진주가좌원룸점휴게음식점일반조리판매경상남도 진주시 개양로6번길 8(1층일부 가좌동)
898899거제시지에스25(GS25) 장승포시립점휴게음식점편의점경상남도 거제시 신부로 32(장승포동)
1277212773창원시 진해구투썸플레이스진해자은점휴게음식점커피숍경상남도 창원시 진해구 장복대로 165(투썸플레이스 2층 자은동)
837838거제시카페더블루휴게음식점커피숍경상남도 거제시 계룡로 125(1층 고현동, 거제시청)
20102011김해시일소레설화빙수휴게음식점기타 휴게음식점경상남도 김해시 율하1로 101(101,102일부호 율하동, 모아빌딩)
86498650창원시 마산합포구1967황실다방휴게음식점다방경상남도 창원시 마산합포구 동서북11길 7-4(2층 부림동)
36063607남해군다가연휴게음식점전통찻집경상남도 남해군 남해읍 망운로 6
49664967양산시드메르휴게음식점커피숍경상남도 양산시 동면 호포로 27(1, 2층)
97019702창원시 성산구경호강분식휴게음식점일반조리판매경상남도 창원시 성산구 단정로 64(1층 상남동)