Overview

Dataset statistics

Number of variables6
Number of observations29
Missing cells10
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory52.6 B

Variable types

Text5
Categorical1

Dataset

Description부산광역시강서구_수산물가공업현황_20220916
Author부산광역시 강서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15014060

Alerts

업종 has constant value ""Constant
소재지전화번호 has 8 (27.6%) missing valuesMissing
식품의유형 has 2 (6.9%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:15:26.522928
Analysis finished2023-12-10 17:15:27.998177
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T02:15:28.295835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length8.3793103
Min length4

Characters and Unicode

Total characters243
Distinct characters97
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row(주)부산세광식품
2nd row(주)그린푸드
3rd row진해물산(주)
4th row해성코퍼레이션(주)
5th row신아푸드
ValueCountFrequency (%)
주식회사 3
 
8.8%
주)부산세광식품 1
 
2.9%
주)그린푸드 1
 
2.9%
b 1
 
2.9%
테라비(terra 1
 
2.9%
주)경에프엔에스 1
 
2.9%
천부수산 1
 
2.9%
씨엔지푸드(c&gfood 1
 
2.9%
명호낙동강재첩 1
 
2.9%
농업회사법인(주)태평 1
 
2.9%
Other values (22) 22
64.7%
2023-12-11T02:15:29.761821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 20
 
8.2%
) 19
 
7.8%
( 19
 
7.8%
식 10
 
4.1%
산 9
 
3.7%
푸 9
 
3.7%
드 9
 
3.7%
사 7
 
2.9%
회 6
 
2.5%
부 5
 
2.1%
Other values (87) 130
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 176
72.4%
Close Punctuation 19
 
7.8%
Open Punctuation 19
 
7.8%
Uppercase Letter 19
 
7.8%
Space Separator 5
 
2.1%
Lowercase Letter 4
 
1.6%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 20
 
11.4%
식 10
 
5.7%
산 9
 
5.1%
푸 9
 
5.1%
드 9
 
5.1%
사 7
 
4.0%
회 6
 
3.4%
부 5
 
2.8%
품 5
 
2.8%
에 4
 
2.3%
Other values (68) 92
52.3%
Uppercase Letter
ValueCountFrequency (%)
O 4
21.1%
D 2
10.5%
E 2
10.5%
F 2
10.5%
T 2
10.5%
N 1
 
5.3%
C 1
 
5.3%
G 1
 
5.3%
S 1
 
5.3%
L 1
 
5.3%
Other values (2) 2
10.5%
Lowercase Letter
ValueCountFrequency (%)
r 2
50.0%
e 1
25.0%
a 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 176
72.4%
Common 44
 
18.1%
Latin 23
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 20
 
11.4%
식 10
 
5.7%
산 9
 
5.1%
푸 9
 
5.1%
드 9
 
5.1%
사 7
 
4.0%
회 6
 
3.4%
부 5
 
2.8%
품 5
 
2.8%
에 4
 
2.3%
Other values (68) 92
52.3%
Latin
ValueCountFrequency (%)
O 4
17.4%
D 2
 
8.7%
E 2
 
8.7%
F 2
 
8.7%
T 2
 
8.7%
r 2
 
8.7%
N 1
 
4.3%
C 1
 
4.3%
G 1
 
4.3%
e 1
 
4.3%
Other values (5) 5
21.7%
Common
ValueCountFrequency (%)
) 19
43.2%
( 19
43.2%
5
 
11.4%
& 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 176
72.4%
ASCII 67
 
27.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 20
 
11.4%
식 10
 
5.7%
산 9
 
5.1%
푸 9
 
5.1%
드 9
 
5.1%
사 7
 
4.0%
회 6
 
3.4%
부 5
 
2.8%
품 5
 
2.8%
에 4
 
2.3%
Other values (68) 92
52.3%
ASCII
ValueCountFrequency (%)
) 19
28.4%
( 19
28.4%
5
 
7.5%
O 4
 
6.0%
D 2
 
3.0%
E 2
 
3.0%
F 2
 
3.0%
T 2
 
3.0%
r 2
 
3.0%
N 1
 
1.5%
Other values (9) 9
13.4%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
식품제조가공업
29 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 29
100.0%

Length

2023-12-11T02:15:30.094905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:15:30.341749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 29
100.0%

소재지전화번호
Text

MISSING 

Distinct20
Distinct (%)95.2%
Missing8
Missing (%)27.6%
Memory size364.0 B
2023-12-11T02:15:30.695329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length9

Characters and Unicode

Total characters252
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

Unique19 ?
Unique (%)90.5%

Sample

1st row051-264-4324
2nd row051-790-7701
3rd row051-941-2400
4th row051-831-3191
5th row051-633-1645
ValueCountFrequency (%)
070-7793-0203 2
 
9.5%
051-524-0104 1
 
4.8%
051-264-4324 1
 
4.8%
051-941-9700 1
 
4.8%
1544-2635 1
 
4.8%
051-271-1477 1
 
4.8%
051-710-0115 1
 
4.8%
051-832-8322 1
 
4.8%
051-831-1622 1
 
4.8%
051-831-1617 1
 
4.8%
Other values (10) 10
47.6%
2023-12-11T02:15:31.502936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 43
17.1%
- 41
16.3%
0 40
15.9%
5 23
9.1%
7 21
8.3%
3 20
7.9%
2 17
 
6.7%
4 16
 
6.3%
8 13
 
5.2%
9 11
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 211
83.7%
Dash Punctuation 41
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 43
20.4%
0 40
19.0%
5 23
10.9%
7 21
10.0%
3 20
9.5%
2 17
 
8.1%
4 16
 
7.6%
8 13
 
6.2%
9 11
 
5.2%
6 7
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 43
17.1%
- 41
16.3%
0 40
15.9%
5 23
9.1%
7 21
8.3%
3 20
7.9%
2 17
 
6.7%
4 16
 
6.3%
8 13
 
5.2%
9 11
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 43
17.1%
- 41
16.3%
0 40
15.9%
5 23
9.1%
7 21
8.3%
3 20
7.9%
2 17
 
6.7%
4 16
 
6.3%
8 13
 
5.2%
9 11
 
4.4%

소재지(도로명)
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T02:15:32.072119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length37
Mean length31.586207
Min length22

Characters and Unicode

Total characters916
Distinct characters68
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

Unique27 ?
Unique (%)93.1%

Sample

1st row부산광역시 강서구 녹산산업중로 381 (송정동)
2nd row부산광역시 강서구 녹산산단407로 65 (송정동)
3rd row부산광역시 강서구 낙동남로682번길 94 (녹산동)
4th row부산광역시 강서구 녹산산단381로12번길 58 (송정동)
5th row부산광역시 강서구 대저중앙로 383-1, 1호동 및 대저중앙로 383,1호동 일부 (대저1동)
ValueCountFrequency (%)
부산광역시 29
17.5%
강서구 29
17.5%
송정동 11
 
6.6%
대저1동 7
 
4.2%
1층 5
 
3.0%
일부 5
 
3.0%
일부호 3
 
1.8%
강동동 3
 
1.8%
대저중앙로 2
 
1.2%
녹산산단381로 2
 
1.2%
Other values (61) 70
42.2%
2023-12-11T02:15:32.990386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
 
15.0%
산 52
 
5.7%
1 39
 
4.3%
동 38
 
4.1%
부 37
 
4.0%
강 34
 
3.7%
( 29
 
3.2%
광 29
 
3.2%
역 29
 
3.2%
시 29
 
3.2%
Other values (58) 463
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 529
57.8%
Decimal Number 175
 
19.1%
Space Separator 137
 
15.0%
Open Punctuation 29
 
3.2%
Close Punctuation 29
 
3.2%
Other Punctuation 11
 
1.2%
Dash Punctuation 5
 
0.5%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 52
 
9.8%
동 38
 
7.2%
부 37
 
7.0%
강 34
 
6.4%
광 29
 
5.5%
역 29
 
5.5%
시 29
 
5.5%
서 29
 
5.5%
구 29
 
5.5%
로 28
 
5.3%
Other values (42) 195
36.9%
Decimal Number
ValueCountFrequency (%)
1 39
22.3%
2 24
13.7%
3 24
13.7%
8 18
10.3%
7 16
9.1%
4 15
 
8.6%
6 15
 
8.6%
0 10
 
5.7%
5 7
 
4.0%
9 7
 
4.0%
Space Separator
ValueCountFrequency (%)
137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 529
57.8%
Common 386
42.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 52
 
9.8%
동 38
 
7.2%
부 37
 
7.0%
강 34
 
6.4%
광 29
 
5.5%
역 29
 
5.5%
시 29
 
5.5%
서 29
 
5.5%
구 29
 
5.5%
로 28
 
5.3%
Other values (42) 195
36.9%
Common
ValueCountFrequency (%)
137
35.5%
1 39
 
10.1%
( 29
 
7.5%
) 29
 
7.5%
2 24
 
6.2%
3 24
 
6.2%
8 18
 
4.7%
7 16
 
4.1%
4 15
 
3.9%
6 15
 
3.9%
Other values (5) 40
 
10.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 529
57.8%
ASCII 387
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
137
35.4%
1 39
 
10.1%
( 29
 
7.5%
) 29
 
7.5%
2 24
 
6.2%
3 24
 
6.2%
8 18
 
4.7%
7 16
 
4.1%
4 15
 
3.9%
6 15
 
3.9%
Other values (6) 41
 
10.6%
Hangul
ValueCountFrequency (%)
산 52
 
9.8%
동 38
 
7.2%
부 37
 
7.0%
강 34
 
6.4%
광 29
 
5.5%
역 29
 
5.5%
시 29
 
5.5%
서 29
 
5.5%
구 29
 
5.5%
로 28
 
5.3%
Other values (42) 195
36.9%

식품의종류
Text

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T02:15:33.430174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length57
Mean length35.344828
Min length9

Characters and Unicode

Total characters1025
Distinct characters48
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)72.4%

Sample

1st row 어육가공품, 조미식품, 기타식품류, 규격외일반가공식품, 어육가공품, 어묵, 수산가공식품류
2nd row 기타식품류, 규격외일반가공식품, 규격외일반가공식품, 수산물가공품, 기타가공품, 수산가공식품류, 기타식품류
3rd row 식품별기준및규격외의일반가공식품, 기타식품류, 규격외일반가공식품, 규격외일반가공식품, 수산물가공품, 수산가공식품류
4th row 조미식품, 규격외일반가공식품, 규격외일반가공식품, 수산물가공품, 수산가공식품류
5th row 절임류 또는 조림류, 수산가공식품류
ValueCountFrequency (%)
수산가공식품류 29
22.1%
규격외일반가공식품 14
10.7%
기타식품류 12
 
9.2%
조미식품 11
 
8.4%
어육가공품 8
 
6.1%
즉석식품류 7
 
5.3%
또는 5
 
3.8%
수산물가공품 5
 
3.8%
어묵 4
 
3.1%
절임류 4
 
3.1%
Other values (19) 32
24.4%
2023-12-11T02:15:34.199255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
24.1%
품 95
 
9.3%
, 88
 
8.6%
식 80
 
7.8%
류 73
 
7.1%
가 62
 
6.0%
공 62
 
6.0%
산 37
 
3.6%
수 35
 
3.4%
조 16
 
1.6%
Other values (38) 230
22.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 690
67.3%
Space Separator 247
 
24.1%
Other Punctuation 88
 
8.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 95
13.8%
식 80
 
11.6%
류 73
 
10.6%
가 62
 
9.0%
공 62
 
9.0%
산 37
 
5.4%
수 35
 
5.1%
조 16
 
2.3%
외 15
 
2.2%
반 15
 
2.2%
Other values (36) 200
29.0%
Space Separator
ValueCountFrequency (%)
247
100.0%
Other Punctuation
ValueCountFrequency (%)
, 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 690
67.3%
Common 335
32.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 95
13.8%
식 80
 
11.6%
류 73
 
10.6%
가 62
 
9.0%
공 62
 
9.0%
산 37
 
5.4%
수 35
 
5.1%
조 16
 
2.3%
외 15
 
2.2%
반 15
 
2.2%
Other values (36) 200
29.0%
Common
ValueCountFrequency (%)
247
73.7%
, 88
 
26.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 690
67.3%
ASCII 335
32.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
73.7%
, 88
 
26.3%
Hangul
ValueCountFrequency (%)
품 95
13.8%
식 80
 
11.6%
류 73
 
10.6%
가 62
 
9.0%
공 62
 
9.0%
산 37
 
5.4%
수 35
 
5.1%
조 16
 
2.3%
외 15
 
2.2%
반 15
 
2.2%
Other values (36) 200
29.0%

식품의유형
Text

MISSING 

Distinct21
Distinct (%)77.8%
Missing2
Missing (%)6.9%
Memory size364.0 B
2023-12-11T02:15:34.580240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length29
Mean length19.518519
Min length4

Characters and Unicode

Total characters527
Distinct characters63
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)70.4%

Sample

1st row 어묵
2nd row 기타 어육가공품, 기타 수산물가공품, 기타가공품
3rd row 어육반제품, 기타 수산물가공품
4th row 기타 수산물가공품
5th row 김치, 김칫속, 절임식품, 양념젓갈
ValueCountFrequency (%)
기타 16
19.0%
수산물가공품 14
16.7%
조미건어포 6
 
7.1%
즉석조리식품 4
 
4.8%
기타가공품 4
 
4.8%
어육반제품 4
 
4.8%
어묵 4
 
4.8%
건어포 3
 
3.6%
소스 3
 
3.6%
양념젓갈 2
 
2.4%
Other values (20) 24
28.6%
2023-12-11T02:15:35.221850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
28.5%
, 39
 
7.4%
품 38
 
7.2%
가 26
 
4.9%
공 26
 
4.9%
타 21
 
4.0%
기 21
 
4.0%
어 19
 
3.6%
수 15
 
2.8%
산 15
 
2.8%
Other values (53) 157
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 337
63.9%
Space Separator 150
28.5%
Other Punctuation 40
 
7.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 38
 
11.3%
가 26
 
7.7%
공 26
 
7.7%
타 21
 
6.2%
기 21
 
6.2%
어 19
 
5.6%
수 15
 
4.5%
산 15
 
4.5%
물 15
 
4.5%
조 12
 
3.6%
Other values (50) 129
38.3%
Other Punctuation
ValueCountFrequency (%)
, 39
97.5%
. 1
 
2.5%
Space Separator
ValueCountFrequency (%)
150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 337
63.9%
Common 190
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 38
 
11.3%
가 26
 
7.7%
공 26
 
7.7%
타 21
 
6.2%
기 21
 
6.2%
어 19
 
5.6%
수 15
 
4.5%
산 15
 
4.5%
물 15
 
4.5%
조 12
 
3.6%
Other values (50) 129
38.3%
Common
ValueCountFrequency (%)
150
78.9%
, 39
 
20.5%
. 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 337
63.9%
ASCII 190
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
78.9%
, 39
 
20.5%
. 1
 
0.5%
Hangul
ValueCountFrequency (%)
품 38
 
11.3%
가 26
 
7.7%
공 26
 
7.7%
타 21
 
6.2%
기 21
 
6.2%
어 19
 
5.6%
수 15
 
4.5%
산 15
 
4.5%
물 15
 
4.5%
조 12
 
3.6%
Other values (50) 129
38.3%

Correlations

2023-12-11T02:15:35.398126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지전화번호소재지(도로명)식품의종류식품의유형
업소명1.0001.0001.0001.0001.000
소재지전화번호1.0001.0001.0000.9841.000
소재지(도로명)1.0001.0001.0000.9921.000
식품의종류1.0000.9840.9921.0000.959
식품의유형1.0001.0001.0000.9591.000

Missing values

2023-12-11T02:15:27.321481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:15:27.599281image/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.
2023-12-11T02:15:27.873639image/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

업소명업종소재지전화번호소재지(도로명)식품의종류식품의유형
0(주)부산세광식품식품제조가공업051-264-4324부산광역시 강서구 녹산산업중로 381 (송정동)어육가공품, 조미식품, 기타식품류, 규격외일반가공식품, 어육가공품, 어묵, 수산가공식품류어묵
1(주)그린푸드식품제조가공업051-790-7701부산광역시 강서구 녹산산단407로 65 (송정동)기타식품류, 규격외일반가공식품, 규격외일반가공식품, 수산물가공품, 기타가공품, 수산가공식품류, 기타식품류기타 어육가공품, 기타 수산물가공품, 기타가공품
2진해물산(주)식품제조가공업051-941-2400부산광역시 강서구 낙동남로682번길 94 (녹산동)식품별기준및규격외의일반가공식품, 기타식품류, 규격외일반가공식품, 규격외일반가공식품, 수산물가공품, 수산가공식품류어육반제품, 기타 수산물가공품
3해성코퍼레이션(주)식품제조가공업051-831-3191부산광역시 강서구 녹산산단381로12번길 58 (송정동)조미식품, 규격외일반가공식품, 규격외일반가공식품, 수산물가공품, 수산가공식품류기타 수산물가공품
4신아푸드식품제조가공업051-633-1645부산광역시 강서구 대저중앙로 383-1, 1호동 및 대저중앙로 383,1호동 일부 (대저1동)절임류 또는 조림류, 수산가공식품류김치, 김칫속, 절임식품, 양념젓갈
5(주)녹채원식품제조가공업051-831-2111부산광역시 강서구 녹산산업중로 348 (송정동)장류, 장류, 조미식품, 기타식품류, 기타식품류, 규격외일반가공식품, 즉석조리식품, 수산가공식품류, 즉석식품류혼합장, 소스, 곡류가공품, 기타 수산물가공품, 즉석섭취식품, 즉석조리식품
6부산대원식품주식회사식품제조가공업051-831-4429부산광역시 강서구 녹산산단407로 27 (송정동)어육제품, 어육가공품, 어육가공품, 어묵, 규격외일반가공식품, 수산가공식품류어묵, 어육반제품
7에스엔푸드(SN FOOD)식품제조가공업<NA>부산광역시 강서구 녹산산단262로49번길 28 (송정동)젓갈류, 젓갈류, 수산가공식품류젓갈, 양념젓갈
8참앤찬푸드식품제조가공업051-973-3603부산광역시 강서구 평강로171번길 247 (대저1동)과자류, 빵또는떡류, 조미식품, 김치류, 규격외일반가공식품, 식육가공품 및 포장육, 수산가공식품류, 기타식품류식육함유가공품, 기타가공품
9(주)한중유통식품제조가공업051-894-1540부산광역시 강서구 대저중앙로237번길 15-18 (대저1동)건포류, 건포류, 수산가공식품류조미건어포, 건어포
업소명업종소재지전화번호소재지(도로명)식품의종류식품의유형
19(주)쵸이엘푸드식품제조가공업070-7793-0203부산광역시 강서구 가락대로1397번길 277, 1층 일부, 2층 일부 (봉림동)조미식품, 수산가공식품류복합조미식품, 기타 어육가공품, 조미건어포
20캡틴리(주)식품제조가공업<NA>부산광역시 강서구 녹산산단362로 35 (송정동)수산가공식품류조미건어포
21주식회사 삼경상사식품제조가공업<NA>부산광역시 강서구 평강로385번길 79-1, 1층 일부호 (대저1동)기타수산물, 농산가공식품류, 수산가공식품류, 기타식품류기타수산물, 땅콩 또는 견과류가공품, 과.채가공품, 조미건어포, 건어포, 기타 수산물가공품, 기타가공품
22농업회사법인(주)태평식품제조가공업051-710-0115부산광역시 강서구 맥도길474번길 81, 1층 일부호 (대저2동)수산가공식품류젓갈
23명호낙동강재첩식품제조가공업051-271-1477부산광역시 강서구 가덕해안로2번나길 116, 1층 일부호 (눌차동)수산가공식품류, 즉석식품류즉석조리식품
24씨엔지푸드(C&GFOOD)식품제조가공업1544-2635부산광역시 강서구 낙동북로60번길 4-3 (강동동)조미식품, 수산가공식품류기타 수산물가공품
25주식회사 천부수산식품제조가공업<NA>부산광역시 강서구 대저로221번나길 46 (대저1동)수산가공식품류기타 수산물가공품
26(주)경에프엔에스식품제조가공업070-7793-0203부산광역시 강서구 가락대로1397번길 277, 1층 일부, 2층 일부 (봉림동)수산가공식품류<NA>
27테라비(Terra B)식품제조가공업070-8877-0888부산광역시 강서구 명지국제8로10번길 16, 603호 (명지동)조미식품, 식육가공품 및 포장육, 수산가공식품류, 기타식품류<NA>
28주식회사 은하수산식품제조가공업<NA>부산광역시 강서구 녹산산단381로 28 (송정동)수산가공식품류기타 수산물가공품