Overview

Dataset statistics

Number of variables6
Number of observations96
Missing cells13
Missing cells (%)2.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory50.4 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description경상남도 김해시의 착한가격업소 현황에 대한 데이터로 상호, 업종, 사업장주소, 전화번호, 가격 등에 대한 데이터를 제공합니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15033316/fileData.do

Alerts

전화번호(지역번호:055) has 13 (13.5%) missing valuesMissing
순번 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:17:33.377968
Analysis finished2023-12-12 09:17:34.449435
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.5
Minimum1
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-12T18:17:34.537036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.75
Q124.75
median48.5
Q372.25
95-th percentile91.25
Maximum96
Range95
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation27.856777
Coefficient of variation (CV)0.57436653
Kurtosis-1.2
Mean48.5
Median Absolute Deviation (MAD)24
Skewness0
Sum4656
Variance776
MonotonicityStrictly increasing
2023-12-12T18:17:34.671180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
50 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
65 1
 
1.0%
Other values (86) 86
89.6%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%
87 1
1.0%

상호
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-12T18:17:34.976974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length5.4375
Min length2

Characters and Unicode

Total characters522
Distinct characters229
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

Unique96 ?
Unique (%)100.0%

Sample

1st rowBread Factory빵공장
2nd rowDr.닭터
3rd row가야밀면
4th row고기굽는 아저씨
5th row고기박사
ValueCountFrequency (%)
bread 1
 
1.0%
불티난호떡 1
 
1.0%
윤짱카레 1
 
1.0%
용복사 1
 
1.0%
외가국수 1
 
1.0%
오칠컷트(5.7컷트 1
 
1.0%
오뚝이바지락반칼국수반 1
 
1.0%
영국수 1
 
1.0%
헤어샵 1
 
1.0%
엠제이 1
 
1.0%
Other values (95) 95
90.5%
2023-12-12T18:17:35.503502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 14
 
2.7%
리 12
 
2.3%
수 11
 
2.1%
이 10
 
1.9%
헤 9
 
1.7%
가 9
 
1.7%
어 9
 
1.7%
장 9
 
1.7%
8
 
1.5%
밥 8
 
1.5%
Other values (219) 423
81.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 462
88.5%
Uppercase Letter 15
 
2.9%
Lowercase Letter 11
 
2.1%
Space Separator 8
 
1.5%
Decimal Number 7
 
1.3%
Close Punctuation 6
 
1.1%
Open Punctuation 6
 
1.1%
Other Punctuation 5
 
1.0%
Control 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 14
 
3.0%
리 12
 
2.6%
수 11
 
2.4%
이 10
 
2.2%
헤 9
 
1.9%
가 9
 
1.9%
어 9
 
1.9%
장 9
 
1.9%
밥 8
 
1.7%
아 7
 
1.5%
Other values (189) 364
78.8%
Uppercase Letter
ValueCountFrequency (%)
A 3
20.0%
R 2
13.3%
I 2
13.3%
K 1
 
6.7%
O 1
 
6.7%
T 1
 
6.7%
Y 1
 
6.7%
B 1
 
6.7%
H 1
 
6.7%
D 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
r 3
27.3%
a 2
18.2%
y 1
 
9.1%
o 1
 
9.1%
t 1
 
9.1%
c 1
 
9.1%
d 1
 
9.1%
e 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 2
28.6%
9 2
28.6%
3 1
14.3%
7 1
14.3%
5 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
& 2
40.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 462
88.5%
Common 34
 
6.5%
Latin 26
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 14
 
3.0%
리 12
 
2.6%
수 11
 
2.4%
이 10
 
2.2%
헤 9
 
1.9%
가 9
 
1.9%
어 9
 
1.9%
장 9
 
1.9%
밥 8
 
1.7%
아 7
 
1.5%
Other values (189) 364
78.8%
Latin
ValueCountFrequency (%)
A 3
 
11.5%
r 3
 
11.5%
R 2
 
7.7%
I 2
 
7.7%
a 2
 
7.7%
K 1
 
3.8%
O 1
 
3.8%
T 1
 
3.8%
Y 1
 
3.8%
B 1
 
3.8%
Other values (9) 9
34.6%
Common
ValueCountFrequency (%)
8
23.5%
) 6
17.6%
( 6
17.6%
. 3
 
8.8%
& 2
 
5.9%
2
 
5.9%
1 2
 
5.9%
9 2
 
5.9%
3 1
 
2.9%
7 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 462
88.5%
ASCII 60
 
11.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 14
 
3.0%
리 12
 
2.6%
수 11
 
2.4%
이 10
 
2.2%
헤 9
 
1.9%
가 9
 
1.9%
어 9
 
1.9%
장 9
 
1.9%
밥 8
 
1.7%
아 7
 
1.5%
Other values (189) 364
78.8%
ASCII
ValueCountFrequency (%)
8
 
13.3%
) 6
 
10.0%
( 6
 
10.0%
A 3
 
5.0%
. 3
 
5.0%
r 3
 
5.0%
& 2
 
3.3%
R 2
 
3.3%
I 2
 
3.3%
2
 
3.3%
Other values (20) 23
38.3%

업종
Categorical

Distinct16
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size900.0 B
한식
37 
중식
15 
이미용업
11 
외식업
7 
기타외식
5 
Other values (11)
21 

Length

Max length7
Median length2
Mean length2.84375
Min length2

Unique

Unique4 ?
Unique (%)4.2%

Sample

1st row기타외식
2nd row양식
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 37
38.5%
중식 15
15.6%
이미용업 11
 
11.5%
외식업 7
 
7.3%
기타외식 5
 
5.2%
분식 4
 
4.2%
기타서비스업 3
 
3.1%
양식 2
 
2.1%
기타요식업 2
 
2.1%
기타 이미용업 2
 
2.1%
Other values (6) 8
 
8.3%

Length

2023-12-12T18:17:35.664001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 37
37.0%
중식 15
15.0%
이미용업 13
 
13.0%
외식업 7
 
7.0%
기타외식 5
 
5.0%
분식 4
 
4.0%
기타 4
 
4.0%
기타서비스업 3
 
3.0%
양식 2
 
2.0%
기타요식업 2
 
2.0%
Other values (5) 8
 
8.0%

사업장주소
Text

Distinct93
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-12T18:17:35.969334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length25
Mean length16.708333
Min length9

Characters and Unicode

Total characters1604
Distinct characters97
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

Unique90 ?
Unique (%)93.8%

Sample

1st row김해시 율하카페길 5-10
2nd row김해시 인제로200번길 3-7
3rd row김해시 삼안로60번길 1
4th row김해시 인제로200번길 3-13
5th row김해시 구산로19번길 5
ValueCountFrequency (%)
김해시 96
29.0%
인제로200번길 9
 
2.7%
1층 7
 
2.1%
인제로210번길 4
 
1.2%
활천로255번길 4
 
1.2%
율하카페길 4
 
1.2%
102호 4
 
1.2%
삼계중앙로 3
 
0.9%
삼안로 3
 
0.9%
18 3
 
0.9%
Other values (164) 194
58.6%
2023-12-12T18:17:36.466219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
242
15.1%
1 114
 
7.1%
해 103
 
6.4%
김 99
 
6.2%
시 96
 
6.0%
로 90
 
5.6%
2 75
 
4.7%
길 67
 
4.2%
번 64
 
4.0%
0 55
 
3.4%
Other values (87) 599
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 817
50.9%
Decimal Number 469
29.2%
Space Separator 242
 
15.1%
Dash Punctuation 37
 
2.3%
Other Punctuation 26
 
1.6%
Open Punctuation 5
 
0.3%
Close Punctuation 5
 
0.3%
Control 2
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 103
12.6%
김 99
12.1%
시 96
11.8%
로 90
 
11.0%
길 67
 
8.2%
번 64
 
7.8%
호 20
 
2.4%
동 17
 
2.1%
계 15
 
1.8%
삼 15
 
1.8%
Other values (70) 231
28.3%
Decimal Number
ValueCountFrequency (%)
1 114
24.3%
2 75
16.0%
0 55
11.7%
3 46
9.8%
5 46
9.8%
7 30
 
6.4%
4 29
 
6.2%
6 26
 
5.5%
8 26
 
5.5%
9 22
 
4.7%
Space Separator
ValueCountFrequency (%)
242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Control
ValueCountFrequency (%)
2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 817
50.9%
Common 786
49.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 103
12.6%
김 99
12.1%
시 96
11.8%
로 90
 
11.0%
길 67
 
8.2%
번 64
 
7.8%
호 20
 
2.4%
동 17
 
2.1%
계 15
 
1.8%
삼 15
 
1.8%
Other values (70) 231
28.3%
Common
ValueCountFrequency (%)
242
30.8%
1 114
14.5%
2 75
 
9.5%
0 55
 
7.0%
3 46
 
5.9%
5 46
 
5.9%
- 37
 
4.7%
7 30
 
3.8%
4 29
 
3.7%
6 26
 
3.3%
Other values (6) 86
 
10.9%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 817
50.9%
ASCII 787
49.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
242
30.7%
1 114
14.5%
2 75
 
9.5%
0 55
 
7.0%
3 46
 
5.8%
5 46
 
5.8%
- 37
 
4.7%
7 30
 
3.8%
4 29
 
3.7%
6 26
 
3.3%
Other values (7) 87
 
11.1%
Hangul
ValueCountFrequency (%)
해 103
12.6%
김 99
12.1%
시 96
11.8%
로 90
 
11.0%
길 67
 
8.2%
번 64
 
7.8%
호 20
 
2.4%
동 17
 
2.1%
계 15
 
1.8%
삼 15
 
1.8%
Other values (70) 231
28.3%

전화번호(지역번호:055)
Text

MISSING 

Distinct81
Distinct (%)97.6%
Missing13
Missing (%)13.5%
Memory size900.0 B
2023-12-12T18:17:36.771453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.060241
Min length8

Characters and Unicode

Total characters669
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)95.2%

Sample

1st row325-4026
2nd row325-4234
3rd row327-2206
4th row329-0327
5th row339-0405
ValueCountFrequency (%)
333-8816 2
 
2.4%
311-1108 2
 
2.4%
321-2535 1
 
1.2%
335-0863 1
 
1.2%
322-0798 1
 
1.2%
329-0091 1
 
1.2%
313-3130 1
 
1.2%
323-2174 1
 
1.2%
334-1755 1
 
1.2%
331-7005 1
 
1.2%
Other values (71) 71
85.5%
2023-12-12T18:17:37.161906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 162
24.2%
- 83
12.4%
2 82
12.3%
1 70
10.5%
9 48
 
7.2%
0 46
 
6.9%
8 42
 
6.3%
7 36
 
5.4%
5 36
 
5.4%
6 34
 
5.1%
Other values (2) 30
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 585
87.4%
Dash Punctuation 83
 
12.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 162
27.7%
2 82
14.0%
1 70
12.0%
9 48
 
8.2%
0 46
 
7.9%
8 42
 
7.2%
7 36
 
6.2%
5 36
 
6.2%
6 34
 
5.8%
4 29
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 669
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 162
24.2%
- 83
12.4%
2 82
12.3%
1 70
10.5%
9 48
 
7.2%
0 46
 
6.9%
8 42
 
6.3%
7 36
 
5.4%
5 36
 
5.4%
6 34
 
5.1%
Other values (2) 30
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 669
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 162
24.2%
- 83
12.4%
2 82
12.3%
1 70
10.5%
9 48
 
7.2%
0 46
 
6.9%
8 42
 
6.3%
7 36
 
5.4%
5 36
 
5.4%
6 34
 
5.1%
Other values (2) 30
 
4.5%

가격(2023.5월 기준/매장 방문시 가격)
Text

Distinct93
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-12T18:17:37.433826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length42
Mean length31.21875
Min length10

Characters and Unicode

Total characters2997
Distinct characters241
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)93.8%

Sample

1st row우유식빵 5,000원, 모닝빵 4,000원, 단팥빵/소보로빵 2,000원, 아메리카노 2,000원
2nd row치킨스테이크 7000원
3rd row밀면 6,000원, 비빔밀면 6,000원
4th row순부리정식 5500원, 매부리정식 5500원
5th row생삼겹살(국내산120g) 8000원, 생오겹살(국내산120g) 8000원, 생목살(국내산120g) 8000원, 특수부위모듬(국내산120g) 9000원, 박사모듬구이(5인분) 40000원
ValueCountFrequency (%)
6,000원 23
 
5.0%
짬뽕 16
 
3.5%
10,000원 16
 
3.5%
자장면 12
 
2.6%
5,000원 11
 
2.4%
7,000원 11
 
2.4%
6000원 10
 
2.2%
25,000원 8
 
1.7%
4,500원 8
 
1.7%
5000원 7
 
1.5%
Other values (231) 338
73.5%
2023-12-12T18:17:37.845568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 731
24.4%
359
 
12.0%
, 270
 
9.0%
원 242
 
8.1%
5 79
 
2.6%
1 64
 
2.1%
) 43
 
1.4%
( 43
 
1.4%
6 42
 
1.4%
국 35
 
1.2%
Other values (231) 1089
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1175
39.2%
Decimal Number 1076
35.9%
Space Separator 359
 
12.0%
Other Punctuation 274
 
9.1%
Close Punctuation 43
 
1.4%
Open Punctuation 43
 
1.4%
Control 15
 
0.5%
Lowercase Letter 9
 
0.3%
Math Symbol 2
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 242
 
20.6%
국 35
 
3.0%
수 31
 
2.6%
트 27
 
2.3%
장 24
 
2.0%
면 24
 
2.0%
컷 23
 
2.0%
밥 18
 
1.5%
이 18
 
1.5%
치 17
 
1.4%
Other values (211) 716
60.9%
Decimal Number
ValueCountFrequency (%)
0 731
67.9%
5 79
 
7.3%
1 64
 
5.9%
6 42
 
3.9%
4 33
 
3.1%
3 33
 
3.1%
2 32
 
3.0%
7 26
 
2.4%
9 18
 
1.7%
8 18
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 270
98.5%
/ 3
 
1.1%
· 1
 
0.4%
Space Separator
ValueCountFrequency (%)
359
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Control
ValueCountFrequency (%)
15
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1812
60.5%
Hangul 1174
39.2%
Latin 10
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 242
 
20.6%
국 35
 
3.0%
수 31
 
2.6%
트 27
 
2.3%
장 24
 
2.0%
면 24
 
2.0%
컷 23
 
2.0%
밥 18
 
1.5%
이 18
 
1.5%
치 17
 
1.4%
Other values (210) 715
60.9%
Common
ValueCountFrequency (%)
0 731
40.3%
359
19.8%
, 270
 
14.9%
5 79
 
4.4%
1 64
 
3.5%
) 43
 
2.4%
( 43
 
2.4%
6 42
 
2.3%
4 33
 
1.8%
3 33
 
1.8%
Other values (8) 115
 
6.3%
Latin
ValueCountFrequency (%)
g 9
90.0%
A 1
 
10.0%
Han
ValueCountFrequency (%)
小 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1821
60.8%
Hangul 1174
39.2%
None 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 731
40.1%
359
19.7%
, 270
 
14.8%
5 79
 
4.3%
1 64
 
3.5%
) 43
 
2.4%
( 43
 
2.4%
6 42
 
2.3%
4 33
 
1.8%
3 33
 
1.8%
Other values (9) 124
 
6.8%
Hangul
ValueCountFrequency (%)
원 242
 
20.6%
국 35
 
3.0%
수 31
 
2.6%
트 27
 
2.3%
장 24
 
2.0%
면 24
 
2.0%
컷 23
 
2.0%
밥 18
 
1.5%
이 18
 
1.5%
치 17
 
1.4%
Other values (210) 715
60.9%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
小 1
100.0%

Interactions

2023-12-12T18:17:34.202747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:17:37.939529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번상호업종사업장주소전화번호(지역번호:055)가격(2023.5월 기준/매장 방문시 가격)
순번1.0001.0000.2350.8030.8750.937
상호1.0001.0001.0001.0001.0001.000
업종0.2351.0001.0000.9790.9811.000
사업장주소0.8031.0000.9791.0000.9880.993
전화번호(지역번호:055)0.8751.0000.9810.9881.0000.988
가격(2023.5월 기준/매장 방문시 가격)0.9371.0001.0000.9930.9881.000
2023-12-12T18:17:38.048163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종
순번1.0000.080
업종0.0801.000

Missing values

2023-12-12T18:17:34.296617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:17:34.401495image/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

순번상호업종사업장주소전화번호(지역번호:055)가격(2023.5월 기준/매장 방문시 가격)
01Bread Factory빵공장기타외식김해시 율하카페길 5-10325-4026우유식빵 5,000원, 모닝빵 4,000원, 단팥빵/소보로빵 2,000원, 아메리카노 2,000원
12Dr.닭터양식김해시 인제로200번길 3-7325-4234치킨스테이크 7000원
23가야밀면한식김해시 삼안로60번길 1327-2206밀면 6,000원, 비빔밀면 6,000원
34고기굽는 아저씨한식김해시 인제로200번길 3-13329-0327순부리정식 5500원, 매부리정식 5500원
45고기박사한식김해시 구산로19번길 5339-0405생삼겹살(국내산120g) 8000원, 생오겹살(국내산120g) 8000원, 생목살(국내산120g) 8000원, 특수부위모듬(국내산120g) 9000원, 박사모듬구이(5인분) 40000원
56고기예찬한식김해시 삼계중앙로 93311-1108생고기모듬(100g) 13000원, 등심(100g) 15000원
67고향밥상한식김해시 내덕로86번길 7327-0506한식뷔페 6,000원
78골목아구찜한식김해시 김해대로 2385번길 25-1333-8816아구찜(소)25,000원, 추어탕7,000원
89공예카페 블루밍기타요식업김해시 분성로 294, 102호<NA>야채 토스트 2,500원, 에이드 3,000원
910공원반점중식김해시 봉황대안길 35<NA>자장면 5,000원, 짬뽕 6,500원
순번상호업종사업장주소전화번호(지역번호:055)가격(2023.5월 기준/매장 방문시 가격)
8687필가지짜장&가야밀면중식김해시 활천로267번길 38323-5530/5582자장면 4,500원, 짬뽕 6,000원, 탕수육 10,000원
8788하루만기타외식김해시 내외로95번길 19321-0112팥/,소보루 900원, 슈크림 1000원
8889하이크리닝세탁업김해시 활천로15번길 2328-4045정장 3300원, 와이셔츠 1100원
8990한끼김밥분식김해시 해반천로168번길 18311-1108김밥 3,000원, 떡볶이 3000원, 김치/된장찌개 7,000원
9091한우선지국밥한식김해시 삼안로 195번길 36<NA>선지국밥 6,000원, 선지국수 6,000원
9192한일뒷고기외식업김해시 삼계로1번길 4-18331-5432뒷고기 5000원 막창 8000원 뒷통 8000원
9293해룡중식김해시 해반천로144번길 29-34, 주차빌딩 102호338-1556자장면 4,500원, 짬뽕 6,000원, 탕수육 10,000원
9394해운한식김해시 율하카페길 67-13313-9232고등어구이정식 10,000원, 장문볼락구이정식 10,000원
9495휴앤힐기타 피부미용김해시 덕정로138번안길 53,101호<NA>브레인힐링30000원 딥슬립케어50000원 온콜로지에스테틱70000원
9596힐링탁구교실기타서비스업김해시 활천로 267번길 18, 2층338-0996월 사용료(새벽반) 40,000원, 월 사용료(종일반) 50,000원, 레슨회원 20,000원, 중학생 25,000원, 성인반 40,000원