Overview

Dataset statistics

Number of variables5
Number of observations190
Missing cells77
Missing cells (%)8.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.6 KiB
Average record size in memory40.7 B

Variable types

Text5

Dataset

Description경상남도 양산시의 사업장을 둔 식품제조가공업체 공공데이터 현황입니다. 사업장명, 소재지 주소, 전화번호, 식품의종류, 식품의유형 등을 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15021959

Alerts

소재지전화번호 has 64 (33.7%) missing valuesMissing
식품의유형 has 12 (6.3%) missing valuesMissing

Reproduction

Analysis started2023-12-11 00:48:28.389214
Analysis finished2023-12-11 00:48:29.196172
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct189
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T09:48:29.496455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length7.0368421
Min length2

Characters and Unicode

Total characters1337
Distinct characters286
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

Unique188 ?
Unique (%)98.9%

Sample

1st row(주)그랜드파머
2nd row(주)그린에프디
3rd row(주)꽃과열매
4th row(주)다미온푸드
5th row(주)다미원
ValueCountFrequency (%)
주식회사 17
 
7.8%
금강식품 2
 
0.9%
주)희창유업 2
 
0.9%
농업회사법인 2
 
0.9%
젤푸드 2
 
0.9%
오성종합식품 1
 
0.5%
오씨아이씨 1
 
0.5%
아민식품 1
 
0.5%
양산박 1
 
0.5%
양산시농산물종합가공지원센터 1
 
0.5%
Other values (189) 189
86.3%
2023-12-11T09:48:30.013703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 90
 
6.7%
( 74
 
5.5%
) 74
 
5.5%
식 65
 
4.9%
품 44
 
3.3%
드 32
 
2.4%
푸 30
 
2.2%
사 30
 
2.2%
29
 
2.2%
산 28
 
2.1%
Other values (276) 841
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1120
83.8%
Open Punctuation 74
 
5.5%
Close Punctuation 74
 
5.5%
Space Separator 29
 
2.2%
Lowercase Letter 19
 
1.4%
Uppercase Letter 13
 
1.0%
Decimal Number 7
 
0.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 90
 
8.0%
식 65
 
5.8%
품 44
 
3.9%
드 32
 
2.9%
푸 30
 
2.7%
사 30
 
2.7%
산 28
 
2.5%
회 27
 
2.4%
스 22
 
2.0%
에 21
 
1.9%
Other values (248) 731
65.3%
Lowercase Letter
ValueCountFrequency (%)
o 4
21.1%
f 3
15.8%
s 3
15.8%
n 2
10.5%
e 2
10.5%
c 1
 
5.3%
i 1
 
5.3%
u 1
 
5.3%
m 1
 
5.3%
k 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
I 2
15.4%
M 2
15.4%
B 2
15.4%
G 1
7.7%
K 1
7.7%
J 1
7.7%
S 1
7.7%
C 1
7.7%
F 1
7.7%
W 1
7.7%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
0 2
28.6%
1 1
 
14.3%
3 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 74
100.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1120
83.8%
Common 185
 
13.8%
Latin 32
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 90
 
8.0%
식 65
 
5.8%
품 44
 
3.9%
드 32
 
2.9%
푸 30
 
2.7%
사 30
 
2.7%
산 28
 
2.5%
회 27
 
2.4%
스 22
 
2.0%
에 21
 
1.9%
Other values (248) 731
65.3%
Latin
ValueCountFrequency (%)
o 4
 
12.5%
f 3
 
9.4%
s 3
 
9.4%
n 2
 
6.2%
e 2
 
6.2%
I 2
 
6.2%
M 2
 
6.2%
B 2
 
6.2%
G 1
 
3.1%
c 1
 
3.1%
Other values (10) 10
31.2%
Common
ValueCountFrequency (%)
( 74
40.0%
) 74
40.0%
29
 
15.7%
2 3
 
1.6%
0 2
 
1.1%
1 1
 
0.5%
3 1
 
0.5%
- 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1120
83.8%
ASCII 217
 
16.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 90
 
8.0%
식 65
 
5.8%
품 44
 
3.9%
드 32
 
2.9%
푸 30
 
2.7%
사 30
 
2.7%
산 28
 
2.5%
회 27
 
2.4%
스 22
 
2.0%
에 21
 
1.9%
Other values (248) 731
65.3%
ASCII
ValueCountFrequency (%)
( 74
34.1%
) 74
34.1%
29
 
13.4%
o 4
 
1.8%
f 3
 
1.4%
s 3
 
1.4%
2 3
 
1.4%
n 2
 
0.9%
e 2
 
0.9%
I 2
 
0.9%
Other values (18) 21
 
9.7%

소재지전화번호
Text

MISSING 

Distinct124
Distinct (%)98.4%
Missing64
Missing (%)33.7%
Memory size1.6 KiB
2023-12-11T09:48:30.322472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.960317
Min length9

Characters and Unicode

Total characters1507
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)96.8%

Sample

1st row055-374-2624
2nd row055-785-1178
3rd row055-362-0461
4th row051-328-0058
5th row055-384-6201
ValueCountFrequency (%)
055-781-0220 2
 
1.6%
055-389-1001 2
 
1.6%
055-374-4429 1
 
0.8%
055-364-4661 1
 
0.8%
055-372-1322 1
 
0.8%
055-367-7771 1
 
0.8%
055-374-6539 1
 
0.8%
055-388-4314 1
 
0.8%
055-371-6430 1
 
0.8%
055-374-6007 1
 
0.8%
Other values (114) 114
90.5%
2023-12-11T09:48:30.742856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 304
20.2%
- 251
16.7%
0 203
13.5%
3 164
10.9%
1 110
 
7.3%
7 101
 
6.7%
6 99
 
6.6%
8 94
 
6.2%
2 71
 
4.7%
9 57
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1256
83.3%
Dash Punctuation 251
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 304
24.2%
0 203
16.2%
3 164
13.1%
1 110
 
8.8%
7 101
 
8.0%
6 99
 
7.9%
8 94
 
7.5%
2 71
 
5.7%
9 57
 
4.5%
4 53
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 251
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1507
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 304
20.2%
- 251
16.7%
0 203
13.5%
3 164
10.9%
1 110
 
7.3%
7 101
 
6.7%
6 99
 
6.6%
8 94
 
6.2%
2 71
 
4.7%
9 57
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1507
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 304
20.2%
- 251
16.7%
0 203
13.5%
3 164
10.9%
1 110
 
7.3%
7 101
 
6.7%
6 99
 
6.6%
8 94
 
6.2%
2 71
 
4.7%
9 57
 
3.8%

소재지(도로명)
Text

Distinct186
Distinct (%)98.4%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2023-12-11T09:48:31.064269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length25.227513
Min length19

Characters and Unicode

Total characters4768
Distinct characters171
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

Unique183 ?
Unique (%)96.8%

Sample

1st row경상남도 양산시 하북면 신평강변3길 17-6 (1층일부)
2nd row경상남도 양산시 상북면 율리길 43-7
3rd row경상남도 양산시 상북면 소토로 31 2층 일부
4th row경상남도 양산시 주남산단로 17 (주남동)
5th row경상남도 양산시 장흥길 73 (평산동)
ValueCountFrequency (%)
경상남도 189
 
17.5%
양산시 189
 
17.5%
1층 53
 
4.9%
상북면 23
 
2.1%
하북면 20
 
1.9%
동면 17
 
1.6%
어곡동 16
 
1.5%
물금읍 14
 
1.3%
평산동 14
 
1.3%
2층 13
 
1.2%
Other values (333) 531
49.2%
2023-12-11T09:48:31.547269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
890
18.7%
산 255
 
5.3%
1 251
 
5.3%
상 214
 
4.5%
남 210
 
4.4%
양 197
 
4.1%
시 190
 
4.0%
경 189
 
4.0%
도 189
 
4.0%
동 160
 
3.4%
Other values (161) 2023
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2810
58.9%
Space Separator 890
 
18.7%
Decimal Number 770
 
16.1%
Open Punctuation 116
 
2.4%
Close Punctuation 116
 
2.4%
Dash Punctuation 57
 
1.2%
Lowercase Letter 4
 
0.1%
Math Symbol 3
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 255
 
9.1%
상 214
 
7.6%
남 210
 
7.5%
양 197
 
7.0%
시 190
 
6.8%
경 189
 
6.7%
도 189
 
6.7%
동 160
 
5.7%
길 104
 
3.7%
층 89
 
3.2%
Other values (141) 1013
36.0%
Decimal Number
ValueCountFrequency (%)
1 251
32.6%
2 109
14.2%
3 84
 
10.9%
4 73
 
9.5%
5 56
 
7.3%
0 48
 
6.2%
7 43
 
5.6%
6 43
 
5.6%
9 32
 
4.2%
8 31
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
25.0%
c 1
25.0%
i 1
25.0%
y 1
25.0%
Space Separator
ValueCountFrequency (%)
890
100.0%
Open Punctuation
ValueCountFrequency (%)
( 116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 116
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2810
58.9%
Common 1952
40.9%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 255
 
9.1%
상 214
 
7.6%
남 210
 
7.5%
양 197
 
7.0%
시 190
 
6.8%
경 189
 
6.7%
도 189
 
6.7%
동 160
 
5.7%
길 104
 
3.7%
층 89
 
3.2%
Other values (141) 1013
36.0%
Common
ValueCountFrequency (%)
890
45.6%
1 251
 
12.9%
( 116
 
5.9%
) 116
 
5.9%
2 109
 
5.6%
3 84
 
4.3%
4 73
 
3.7%
- 57
 
2.9%
5 56
 
2.9%
0 48
 
2.5%
Other values (5) 152
 
7.8%
Latin
ValueCountFrequency (%)
A 2
33.3%
t 1
16.7%
c 1
16.7%
i 1
16.7%
y 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2810
58.9%
ASCII 1958
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
890
45.5%
1 251
 
12.8%
( 116
 
5.9%
) 116
 
5.9%
2 109
 
5.6%
3 84
 
4.3%
4 73
 
3.7%
- 57
 
2.9%
5 56
 
2.9%
0 48
 
2.5%
Other values (10) 158
 
8.1%
Hangul
ValueCountFrequency (%)
산 255
 
9.1%
상 214
 
7.6%
남 210
 
7.5%
양 197
 
7.0%
시 190
 
6.8%
경 189
 
6.7%
도 189
 
6.7%
동 160
 
5.7%
길 104
 
3.7%
층 89
 
3.2%
Other values (141) 1013
36.0%

식품의종류
Text

Distinct134
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-11T09:48:31.837536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length314
Median length90
Mean length25.652632
Min length2

Characters and Unicode

Total characters4874
Distinct characters122
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)61.1%

Sample

1st row엿류 당류 음료류 장류 농산가공식품류
2nd row과자류 커피 기타식품류 규격외일반가공식품 절임식품 기타식품류 규격외일반가공식품 절임류 또는 조림류 농산가공식품류 수산가공식품류
3rd row음료류 절임류 또는 조림류
4th row조미식품 기타식품류
5th row조미식품 절임식품 조림식품 기타식품류 절임식품 조미식품 절임류 또는 조림류
ValueCountFrequency (%)
조미식품 97
 
10.2%
기타식품류 88
 
9.3%
규격외일반가공식품 71
 
7.5%
음료류 62
 
6.5%
과자류 52
 
5.5%
또는 52
 
5.5%
빵류 29
 
3.1%
떡류 29
 
3.1%
농산가공식품류 28
 
3.0%
장류 27
 
2.9%
Other values (86) 412
43.5%
2023-12-11T09:48:32.252928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
757
15.5%
류 585
 
12.0%
품 438
 
9.0%
식 407
 
8.4%
가 198
 
4.1%
공 195
 
4.0%
조 125
 
2.6%
기 107
 
2.2%
또 103
 
2.1%
는 103
 
2.1%
Other values (112) 1856
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4115
84.4%
Space Separator 757
 
15.5%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
류 585
 
14.2%
품 438
 
10.6%
식 407
 
9.9%
가 198
 
4.8%
공 195
 
4.7%
조 125
 
3.0%
기 107
 
2.6%
또 103
 
2.5%
는 103
 
2.5%
타 101
 
2.5%
Other values (109) 1753
42.6%
Space Separator
ValueCountFrequency (%)
757
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4115
84.4%
Common 759
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
류 585
 
14.2%
품 438
 
10.6%
식 407
 
9.9%
가 198
 
4.8%
공 195
 
4.7%
조 125
 
3.0%
기 107
 
2.6%
또 103
 
2.5%
는 103
 
2.5%
타 101
 
2.5%
Other values (109) 1753
42.6%
Common
ValueCountFrequency (%)
757
99.7%
) 1
 
0.1%
( 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4115
84.4%
ASCII 759
 
15.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
757
99.7%
) 1
 
0.1%
( 1
 
0.1%
Hangul
ValueCountFrequency (%)
류 585
 
14.2%
품 438
 
10.6%
식 407
 
9.9%
가 198
 
4.8%
공 195
 
4.7%
조 125
 
3.0%
기 107
 
2.6%
또 103
 
2.5%
는 103
 
2.5%
타 101
 
2.5%
Other values (109) 1753
42.6%

식품의유형
Text

MISSING 

Distinct125
Distinct (%)70.2%
Missing12
Missing (%)6.3%
Memory size1.6 KiB
2023-12-11T09:48:32.483164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length50
Mean length13.044944
Min length2

Characters and Unicode

Total characters2322
Distinct characters149
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)59.6%

Sample

1st row기타엿 고추장 곡류가공품 기타 농산가공품
2nd row당절임 땅콩 또는 견과류가공품 기타 수산물가공품
3rd row소스 기타가공품
4th row소스 절임식품 조림류
5th row고춧가루 향신료조제품 기타가공품
ValueCountFrequency (%)
기타가공품 38
 
7.4%
소스 32
 
6.2%
기타 22
 
4.3%
커피 20
 
3.9%
곡류가공품 15
 
2.9%
빵류 15
 
2.9%
절임식품 12
 
2.3%
수산물가공품 11
 
2.1%
즉석조리식품 11
 
2.1%
과자 11
 
2.1%
Other values (93) 329
63.8%
2023-12-11T09:48:32.934947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
338
 
14.6%
품 167
 
7.2%
가 139
 
6.0%
공 126
 
5.4%
기 84
 
3.6%
타 70
 
3.0%
식 69
 
3.0%
류 68
 
2.9%
소 50
 
2.2%
과 49
 
2.1%
Other values (139) 1162
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1970
84.8%
Space Separator 338
 
14.6%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 167
 
8.5%
가 139
 
7.1%
공 126
 
6.4%
기 84
 
4.3%
타 70
 
3.6%
식 69
 
3.5%
류 68
 
3.5%
소 50
 
2.5%
과 49
 
2.5%
스 48
 
2.4%
Other values (136) 1100
55.8%
Space Separator
ValueCountFrequency (%)
338
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1970
84.8%
Common 352
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 167
 
8.5%
가 139
 
7.1%
공 126
 
6.4%
기 84
 
4.3%
타 70
 
3.6%
식 69
 
3.5%
류 68
 
3.5%
소 50
 
2.5%
과 49
 
2.5%
스 48
 
2.4%
Other values (136) 1100
55.8%
Common
ValueCountFrequency (%)
338
96.0%
) 7
 
2.0%
( 7
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1970
84.8%
ASCII 352
 
15.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
338
96.0%
) 7
 
2.0%
( 7
 
2.0%
Hangul
ValueCountFrequency (%)
품 167
 
8.5%
가 139
 
7.1%
공 126
 
6.4%
기 84
 
4.3%
타 70
 
3.6%
식 69
 
3.5%
류 68
 
3.5%
소 50
 
2.5%
과 49
 
2.5%
스 48
 
2.4%
Other values (136) 1100
55.8%

Missing values

2023-12-11T09:48:28.891188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:48:28.998600image/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.
2023-12-11T09:48:29.120161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업소명소재지전화번호소재지(도로명)식품의종류식품의유형
0(주)그랜드파머<NA>경상남도 양산시 하북면 신평강변3길 17-6 (1층일부)엿류 당류 음료류 장류 농산가공식품류기타엿 고추장 곡류가공품 기타 농산가공품
1(주)그린에프디055-374-2624경상남도 양산시 상북면 율리길 43-7과자류 커피 기타식품류 규격외일반가공식품 절임식품 기타식품류 규격외일반가공식품 절임류 또는 조림류 농산가공식품류 수산가공식품류당절임 땅콩 또는 견과류가공품 기타 수산물가공품
2(주)꽃과열매<NA>경상남도 양산시 상북면 소토로 31 2층 일부음료류 절임류 또는 조림류<NA>
3(주)다미온푸드055-785-1178경상남도 양산시 주남산단로 17 (주남동)조미식품 기타식품류소스 기타가공품
4(주)다미원055-362-0461경상남도 양산시 장흥길 73 (평산동)조미식품 절임식품 조림식품 기타식품류 절임식품 조미식품 절임류 또는 조림류소스 절임식품 조림류
5(주)다성에프앤엠051-328-0058경상남도 양산시 하북면 삼동로 56-3조미식품 규격외일반가공식품 식용유지류 조미식품 향신료조제품 규격외일반가공식품고춧가루 향신료조제품 기타가공품
6(주)다정식품<NA>경상남도 양산시 내연4길 11-40 1층 (평산동)김치류 절임류 또는 조림류김치 절임식품
7(주)대경오앤티055-384-6201경상남도 양산시 산막공단남5길 8 (북정동)식용유지류 식용유지류 식용유지류콩기름(대두유) 옥수수기름(옥배유) 채종유(유채유 또는 카놀라유) 해바라기유 팜유 기타식물성유지 혼합식용유
8(주)더굿<NA>경상남도 양산시 상북면 소토로 114 2층전체 3층일부호어육가공품 조미식품 기타식품류 규격외일반가공식품 과자류 빵류 또는 떡류 조미식품 절임류 또는 조림류 식육가공품 및 포장육 수산가공식품류 즉석식품류소스 절임식품 식육함유가공품 어묵 어육반제품 기타 수산물가공품 즉석조리식품
9(주)더캔<NA>경상남도 양산시 동면 금오10길 9 1층면류건면
업소명소재지전화번호소재지(도로명)식품의종류식품의유형
180하회종합식품055-383-7097경상남도 양산시 상북면 외석길 16조미식품고춧가루
181한뫼산야초꽃차연구원<NA>경상남도 양산시 원동면 내화절골길 15-112음료류 조미식품침출차 발효식초
182한수<NA>경상남도 양산시 상북면 소토로 79 1층다류 조미식품 조미식품소스 복합조미식품 향신료조제품 기타가공품
183함금<NA>경상남도 양산시 고향의봄11길 13 1층 (북정동)기타식품류 기타식품류 조미식품재제소금(재제조소금) 가공소금
184해보식품<NA>경상남도 양산시 안다방길 32-3 1층 2층 (다방동)식품별기준및규격외의일반가공식품 기타식품류 즉석조리식품즉석조리식품
185해양산<NA>경상남도 양산시 하북면 감림산길 17-10김치류 즉석식품류즉석조리식품
186해운관광농원055-384-0061경상남도 양산시 하북면 삼수온천길 4기타식품류 식육가공품 및 포장육 동물성가공식품류추출가공식품
187황금씨푸드055-362-4728경상남도 양산시 외산3길 14 (덕계동)기타식품류조미김
188후포프리믹스산업<NA>경상남도 양산시 어실로 353-1 1층 일부 (어곡동)기타식품류기타가공품
189휘푸드<NA>경상남도 양산시 산막공단남12길 142 (북정동)조미식품소스