Overview

Dataset statistics

Number of variables6
Number of observations119
Missing cells55
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory50.1 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description부산광역시부산진구식품제조가공업현황_20201015
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15025553

Alerts

업종명 has constant value ""Constant
소재지전화 has 55 (46.2%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:27:09.195481
Analysis finished2023-12-10 17:27:10.487430
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct119
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60
Minimum1
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-11T02:27:10.826932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.9
Q130.5
median60
Q389.5
95-th percentile113.1
Maximum119
Range118
Interquartile range (IQR)59

Descriptive statistics

Standard deviation34.496377
Coefficient of variation (CV)0.57493961
Kurtosis-1.2
Mean60
Median Absolute Deviation (MAD)30
Skewness0
Sum7140
Variance1190
MonotonicityStrictly increasing
2023-12-11T02:27:11.369486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
82 1
 
0.8%
Other values (109) 109
91.6%
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 (%)
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%
111 1
0.8%
110 1
0.8%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
식품제조가공업
119 

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 119
100.0%

Length

2023-12-11T02:27:11.811880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:27:12.093844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 119
100.0%

업소명
Text

Distinct117
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T02:27:12.596896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length5.789916
Min length2

Characters and Unicode

Total characters689
Distinct characters242
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

Unique115 ?
Unique (%)96.6%

Sample

1st row나이스제과
2nd row일유제면
3rd row삼영식품
4th row동광식품
5th row홍골식품
ValueCountFrequency (%)
만덕네김치 2
 
1.6%
동일식품 2
 
1.6%
불끈푸드 1
 
0.8%
주)비엠헬씨팜 1
 
0.8%
나이스제과 1
 
0.8%
일도벤딩 1
 
0.8%
주)조은농수산 1
 
0.8%
주)한국토종약초연구소 1
 
0.8%
한가네비결식품 1
 
0.8%
랜드마크9 1
 
0.8%
Other values (112) 112
90.3%
2023-12-11T02:27:13.477961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 36
 
5.2%
품 33
 
4.8%
) 19
 
2.8%
( 19
 
2.8%
스 19
 
2.8%
피 17
 
2.5%
이 16
 
2.3%
주 16
 
2.3%
커 16
 
2.3%
드 13
 
1.9%
Other values (232) 485
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 598
86.8%
Uppercase Letter 24
 
3.5%
Close Punctuation 19
 
2.8%
Open Punctuation 19
 
2.8%
Lowercase Letter 14
 
2.0%
Decimal Number 8
 
1.2%
Space Separator 5
 
0.7%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 36
 
6.0%
품 33
 
5.5%
스 19
 
3.2%
피 17
 
2.8%
이 16
 
2.7%
주 16
 
2.7%
커 16
 
2.7%
드 13
 
2.2%
푸 11
 
1.8%
제 10
 
1.7%
Other values (199) 411
68.7%
Uppercase Letter
ValueCountFrequency (%)
E 4
16.7%
F 4
16.7%
C 3
12.5%
B 2
8.3%
R 2
8.3%
O 2
8.3%
A 1
 
4.2%
G 1
 
4.2%
P 1
 
4.2%
U 1
 
4.2%
Other values (3) 3
12.5%
Lowercase Letter
ValueCountFrequency (%)
a 3
21.4%
r 2
14.3%
n 2
14.3%
b 2
14.3%
i 1
 
7.1%
o 1
 
7.1%
c 1
 
7.1%
s 1
 
7.1%
e 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
9 2
25.0%
2 2
25.0%
8 1
12.5%
1 1
12.5%
3 1
12.5%
0 1
12.5%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
& 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 598
86.8%
Common 53
 
7.7%
Latin 38
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 36
 
6.0%
품 33
 
5.5%
스 19
 
3.2%
피 17
 
2.8%
이 16
 
2.7%
주 16
 
2.7%
커 16
 
2.7%
드 13
 
2.2%
푸 11
 
1.8%
제 10
 
1.7%
Other values (199) 411
68.7%
Latin
ValueCountFrequency (%)
E 4
 
10.5%
F 4
 
10.5%
a 3
 
7.9%
C 3
 
7.9%
r 2
 
5.3%
B 2
 
5.3%
R 2
 
5.3%
O 2
 
5.3%
n 2
 
5.3%
b 2
 
5.3%
Other values (12) 12
31.6%
Common
ValueCountFrequency (%)
) 19
35.8%
( 19
35.8%
5
 
9.4%
9 2
 
3.8%
2 2
 
3.8%
' 1
 
1.9%
8 1
 
1.9%
1 1
 
1.9%
3 1
 
1.9%
0 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 598
86.8%
ASCII 91
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 36
 
6.0%
품 33
 
5.5%
스 19
 
3.2%
피 17
 
2.8%
이 16
 
2.7%
주 16
 
2.7%
커 16
 
2.7%
드 13
 
2.2%
푸 11
 
1.8%
제 10
 
1.7%
Other values (199) 411
68.7%
ASCII
ValueCountFrequency (%)
) 19
20.9%
( 19
20.9%
5
 
5.5%
E 4
 
4.4%
F 4
 
4.4%
a 3
 
3.3%
C 3
 
3.3%
r 2
 
2.2%
9 2
 
2.2%
B 2
 
2.2%
Other values (23) 28
30.8%

소재지(도로명)
Text

Distinct118
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T02:27:14.024017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length46
Mean length33.344538
Min length24

Characters and Unicode

Total characters3968
Distinct characters134
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

Unique117 ?
Unique (%)98.3%

Sample

1st row부산광역시 부산진구 당감서로100번길 119 (당감동)
2nd row부산광역시 부산진구 거제천로9번길 21 (양정동,8/2)
3rd row부산광역시 부산진구 부전로158번길 36-6 (부전동)
4th row부산광역시 부산진구 범일로154번길 45, 1층 (범천동)
5th row부산광역시 부산진구 골드테마길 54-13 (범천동)
ValueCountFrequency (%)
부산광역시 119
 
16.5%
부산진구 119
 
16.5%
전포동 26
 
3.6%
1층 25
 
3.5%
지상1층 20
 
2.8%
부전동 20
 
2.8%
지하1층 16
 
2.2%
당감동 11
 
1.5%
개금동 11
 
1.5%
가야동 10
 
1.4%
Other values (232) 343
47.6%
2023-12-11T02:27:14.907493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
601
 
15.1%
부 291
 
7.3%
산 240
 
6.0%
1 192
 
4.8%
동 143
 
3.6%
시 123
 
3.1%
( 122
 
3.1%
진 122
 
3.1%
) 122
 
3.1%
광 119
 
3.0%
Other values (124) 1893
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2344
59.1%
Decimal Number 631
 
15.9%
Space Separator 601
 
15.1%
Open Punctuation 122
 
3.1%
Close Punctuation 122
 
3.1%
Other Punctuation 112
 
2.8%
Dash Punctuation 34
 
0.9%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 291
 
12.4%
산 240
 
10.2%
동 143
 
6.1%
시 123
 
5.2%
진 122
 
5.2%
광 119
 
5.1%
역 119
 
5.1%
구 119
 
5.1%
로 118
 
5.0%
층 87
 
3.7%
Other values (107) 863
36.8%
Decimal Number
ValueCountFrequency (%)
1 192
30.4%
2 86
13.6%
3 62
 
9.8%
8 53
 
8.4%
4 50
 
7.9%
5 49
 
7.8%
6 41
 
6.5%
0 38
 
6.0%
7 32
 
5.1%
9 28
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 111
99.1%
/ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
601
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2344
59.1%
Common 1622
40.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 291
 
12.4%
산 240
 
10.2%
동 143
 
6.1%
시 123
 
5.2%
진 122
 
5.2%
광 119
 
5.1%
역 119
 
5.1%
구 119
 
5.1%
로 118
 
5.0%
층 87
 
3.7%
Other values (107) 863
36.8%
Common
ValueCountFrequency (%)
601
37.1%
1 192
 
11.8%
( 122
 
7.5%
) 122
 
7.5%
, 111
 
6.8%
2 86
 
5.3%
3 62
 
3.8%
8 53
 
3.3%
4 50
 
3.1%
5 49
 
3.0%
Other values (6) 174
 
10.7%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2344
59.1%
ASCII 1624
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
601
37.0%
1 192
 
11.8%
( 122
 
7.5%
) 122
 
7.5%
, 111
 
6.8%
2 86
 
5.3%
3 62
 
3.8%
8 53
 
3.3%
4 50
 
3.1%
5 49
 
3.0%
Other values (7) 176
 
10.8%
Hangul
ValueCountFrequency (%)
부 291
 
12.4%
산 240
 
10.2%
동 143
 
6.1%
시 123
 
5.2%
진 122
 
5.2%
광 119
 
5.1%
역 119
 
5.1%
구 119
 
5.1%
로 118
 
5.0%
층 87
 
3.7%
Other values (107) 863
36.8%

소재지(지번)
Text

Distinct117
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-11T02:27:15.629521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length24.142857
Min length18

Characters and Unicode

Total characters2873
Distinct characters95
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

Unique115 ?
Unique (%)96.6%

Sample

1st row부산광역시 부산진구 당감동 785-88 T통B반
2nd row부산광역시 부산진구 양정동 359-9 T통B반 8/2
3rd row부산광역시 부산진구 부전동 347-30
4th row부산광역시 부산진구 범천동 842-13
5th row부산광역시 부산진구 범천동 844-21
ValueCountFrequency (%)
부산광역시 119
22.2%
부산진구 119
22.2%
전포동 26
 
4.9%
부전동 21
 
3.9%
개금동 11
 
2.1%
양정동 11
 
2.1%
당감동 11
 
2.1%
가야동 10
 
1.9%
연지동 8
 
1.5%
범천동 8
 
1.5%
Other values (156) 192
35.8%
2023-12-11T02:27:16.644151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
536
18.7%
부 267
 
9.3%
산 239
 
8.3%
동 125
 
4.4%
시 123
 
4.3%
진 120
 
4.2%
광 119
 
4.1%
역 119
 
4.1%
구 119
 
4.1%
- 114
 
4.0%
Other values (85) 992
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1619
56.4%
Decimal Number 574
 
20.0%
Space Separator 536
 
18.7%
Dash Punctuation 114
 
4.0%
Uppercase Letter 11
 
0.4%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%
Other Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 267
16.5%
산 239
14.8%
동 125
7.7%
시 123
 
7.6%
진 120
 
7.4%
광 119
 
7.4%
역 119
 
7.4%
구 119
 
7.4%
전 49
 
3.0%
지 28
 
1.7%
Other values (67) 311
19.2%
Decimal Number
ValueCountFrequency (%)
1 99
17.2%
3 94
16.4%
2 63
11.0%
6 55
9.6%
7 52
9.1%
0 49
8.5%
4 49
8.5%
5 41
7.1%
9 38
 
6.6%
8 34
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 6
54.5%
T 5
45.5%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
536
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1619
56.4%
Common 1243
43.3%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 267
16.5%
산 239
14.8%
동 125
7.7%
시 123
 
7.6%
진 120
 
7.4%
광 119
 
7.4%
역 119
 
7.4%
구 119
 
7.4%
전 49
 
3.0%
지 28
 
1.7%
Other values (67) 311
19.2%
Common
ValueCountFrequency (%)
536
43.1%
- 114
 
9.2%
1 99
 
8.0%
3 94
 
7.6%
2 63
 
5.1%
6 55
 
4.4%
7 52
 
4.2%
0 49
 
3.9%
4 49
 
3.9%
5 41
 
3.3%
Other values (6) 91
 
7.3%
Latin
ValueCountFrequency (%)
B 6
54.5%
T 5
45.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1619
56.4%
ASCII 1254
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
536
42.7%
- 114
 
9.1%
1 99
 
7.9%
3 94
 
7.5%
2 63
 
5.0%
6 55
 
4.4%
7 52
 
4.1%
0 49
 
3.9%
4 49
 
3.9%
5 41
 
3.3%
Other values (8) 102
 
8.1%
Hangul
ValueCountFrequency (%)
부 267
16.5%
산 239
14.8%
동 125
7.7%
시 123
 
7.6%
진 120
 
7.4%
광 119
 
7.4%
역 119
 
7.4%
구 119
 
7.4%
전 49
 
3.0%
지 28
 
1.7%
Other values (67) 311
19.2%

소재지전화
Text

MISSING 

Distinct64
Distinct (%)100.0%
Missing55
Missing (%)46.2%
Memory size1.1 KiB
2023-12-11T02:27:17.201422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters768
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

Unique64 ?
Unique (%)100.0%

Sample

1st row051-898-2029
2nd row051-861-7398
3rd row051-817-7408
4th row051-634-6675
5th row051-642-7079
ValueCountFrequency (%)
051-861-7398 1
 
1.6%
051-817-7408 1
 
1.6%
051-894-0345 1
 
1.6%
051-818-1059 1
 
1.6%
051-504-4126 1
 
1.6%
051-636-9877 1
 
1.6%
051-644-8819 1
 
1.6%
051-807-7518 1
 
1.6%
051-902-9131 1
 
1.6%
051-804-3385 1
 
1.6%
Other values (54) 54
84.4%
2023-12-11T02:27:18.063943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 128
16.7%
0 118
15.4%
1 108
14.1%
5 99
12.9%
8 94
12.2%
9 56
7.3%
7 38
 
4.9%
4 38
 
4.9%
6 32
 
4.2%
3 29
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 640
83.3%
Dash Punctuation 128
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 118
18.4%
1 108
16.9%
5 99
15.5%
8 94
14.7%
9 56
8.8%
7 38
 
5.9%
4 38
 
5.9%
6 32
 
5.0%
3 29
 
4.5%
2 28
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 768
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 128
16.7%
0 118
15.4%
1 108
14.1%
5 99
12.9%
8 94
12.2%
9 56
7.3%
7 38
 
4.9%
4 38
 
4.9%
6 32
 
4.2%
3 29
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 768
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 128
16.7%
0 118
15.4%
1 108
14.1%
5 99
12.9%
8 94
12.2%
9 56
7.3%
7 38
 
4.9%
4 38
 
4.9%
6 32
 
4.2%
3 29
 
3.8%

Interactions

2023-12-11T02:27:09.811959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:27:18.278097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소재지전화
연번1.0001.000
소재지전화1.0001.000

Missing values

2023-12-11T02:27:10.100663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:27:10.379163image/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

연번업종명업소명소재지(도로명)소재지(지번)소재지전화
01식품제조가공업나이스제과부산광역시 부산진구 당감서로100번길 119 (당감동)부산광역시 부산진구 당감동 785-88 T통B반051-898-2029
12식품제조가공업일유제면부산광역시 부산진구 거제천로9번길 21 (양정동,8/2)부산광역시 부산진구 양정동 359-9 T통B반 8/2051-861-7398
23식품제조가공업삼영식품부산광역시 부산진구 부전로158번길 36-6 (부전동)부산광역시 부산진구 부전동 347-30051-817-7408
34식품제조가공업동광식품부산광역시 부산진구 범일로154번길 45, 1층 (범천동)부산광역시 부산진구 범천동 842-13051-634-6675
45식품제조가공업홍골식품부산광역시 부산진구 골드테마길 54-13 (범천동)부산광역시 부산진구 범천동 844-21051-642-7079
56식품제조가공업백향식품부산광역시 부산진구 당감로 118 (부암동, 협성피닉스타운 B상가)부산광역시 부산진구 부암동 560-14 T통B반 협성B상가051-806-0677
67식품제조가공업부전식품부산광역시 부산진구 중앙대로769번길 21 (부전동)부산광역시 부산진구 부전동 272-4051-819-4846
78식품제조가공업동일식품부산광역시 부산진구 신암로25번길 9 (범천동)부산광역시 부산진구 범천동 1291-11 T통B반051-645-7058
89식품제조가공업제일제면부산광역시 부산진구 냉정로 171-13 (개금동)부산광역시 부산진구 개금동 527-12051-894-4616
910식품제조가공업천일산업부산광역시 부산진구 중앙대로824번길 23 (전포동)부산광역시 부산진구 전포동 550-8051-818-1001
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
109110식품제조가공업경북농축산부산광역시 부산진구 부전로158번길 28-10, 지하1-지상1층 (부전동)부산광역시 부산진구 부전동 347-25<NA>
110111식품제조가공업마이농커피컴퍼니부산광역시 부산진구 중앙대로 882-7, 2층 (양정동)부산광역시 부산진구 양정동 363-73<NA>
111112식품제조가공업평화당부산광역시 부산진구 냉정로 240, 2층 (가야동)부산광역시 부산진구 가야동 643-22<NA>
112113식품제조가공업진사랑식품부산광역시 부산진구 동평로27번길 2-3, 1층 (당감동)부산광역시 부산진구 당감동 621-15<NA>
113114식품제조가공업버닝커피컴퍼니부산광역시 부산진구 전포대로306번길 6, 지하1층 일부호 (전포동, 정우빌딩)부산광역시 부산진구 전포동 554-8 정우빌딩<NA>
114115식품제조가공업화덕자리부산광역시 부산진구 전포대로 206-1, 지하1층 (전포동)부산광역시 부산진구 전포동 312-13<NA>
115116식품제조가공업잇쉬와잇샤의수제초콜릿부산광역시 부산진구 연지로13번길 4, 2층 일부호 (연지동)부산광역시 부산진구 연지동 190-57<NA>
116117식품제조가공업경푸드부산광역시 부산진구 백양순환로35번길 47, 1층 (당감동)부산광역시 부산진구 당감동 670-5<NA>
117118식품제조가공업베이커스부산광역시 부산진구 동천로108번길 11, 창원빌딩 3층 305호 (전포동)부산광역시 부산진구 전포동 662-6 창원빌딩<NA>
118119식품제조가공업(주)성원정F&B부산광역시 부산진구 황령대로64번길 24, 1층 (전포동)부산광역시 부산진구 전포동 375-2<NA>