Overview

Dataset statistics

Number of variables6
Number of observations72
Missing cells30
Missing cells (%)6.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory49.8 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description부산광역시 사하구 위탁급식업체 현황에 대한 데이터입니다. 업종명, 업소명, 소재지 도로명주소, 소재지전화, 우편번호 등을 제공합니다.
Author부산광역시 사하구
URLhttps://www.data.go.kr/data/15036477/fileData.do

Alerts

업종명 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
소재지(도로명) has 1 (1.4%) missing valuesMissing
소재지전화 has 29 (40.3%) missing valuesMissing
소재지(지번)_일부 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:09:19.478997
Analysis finished2023-12-12 07:09:20.164940
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
위탁급식영업
72 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위탁급식영업 72
100.0%

Length

2023-12-12T16:09:20.226290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:09:20.322978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 72
100.0%

업소명
Text

Distinct71
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T16:09:20.554889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length11.680556
Min length2

Characters and Unicode

Total characters841
Distinct characters192
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)97.2%

Sample

1st row(주)풀무원푸드앤컬처 동성케미컬
2nd row(주)녹채원푸드시스템(제일전기공업(주))
3rd row(주)명문푸드서비스 동양제강점
4th row해주푸드
5th row(주)씨엠 한국주철관공업(주)점
ValueCountFrequency (%)
구내식당 6
 
5.1%
주식회사 5
 
4.3%
주)아워홈 3
 
2.6%
주)풀무원푸드앤컬처 3
 
2.6%
가람fs 2
 
1.7%
주)새손 2
 
1.7%
주)소담푸드 2
 
1.7%
주)호성식품 2
 
1.7%
주)녹채원푸드시스템 2
 
1.7%
진아푸드 2
 
1.7%
Other values (87) 88
75.2%
2023-12-12T16:09:20.983030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 52
 
6.2%
( 50
 
5.9%
) 50
 
5.9%
45
 
5.4%
식 25
 
3.0%
점 23
 
2.7%
푸 22
 
2.6%
이 22
 
2.6%
드 20
 
2.4%
스 20
 
2.4%
Other values (182) 512
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 674
80.1%
Open Punctuation 50
 
5.9%
Close Punctuation 50
 
5.9%
Space Separator 45
 
5.4%
Uppercase Letter 17
 
2.0%
Other Punctuation 4
 
0.5%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 52
 
7.7%
식 25
 
3.7%
점 23
 
3.4%
푸 22
 
3.3%
이 22
 
3.3%
드 20
 
3.0%
스 20
 
3.0%
제 15
 
2.2%
당 14
 
2.1%
원 12
 
1.8%
Other values (166) 449
66.6%
Uppercase Letter
ValueCountFrequency (%)
F 4
23.5%
S 4
23.5%
C 2
11.8%
I 2
11.8%
T 1
 
5.9%
Y 1
 
5.9%
P 1
 
5.9%
B 1
 
5.9%
N 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 1
25.0%
· 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 674
80.1%
Common 150
 
17.8%
Latin 17
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 52
 
7.7%
식 25
 
3.7%
점 23
 
3.4%
푸 22
 
3.3%
이 22
 
3.3%
드 20
 
3.0%
스 20
 
3.0%
제 15
 
2.2%
당 14
 
2.1%
원 12
 
1.8%
Other values (166) 449
66.6%
Latin
ValueCountFrequency (%)
F 4
23.5%
S 4
23.5%
C 2
11.8%
I 2
11.8%
T 1
 
5.9%
Y 1
 
5.9%
P 1
 
5.9%
B 1
 
5.9%
N 1
 
5.9%
Common
ValueCountFrequency (%)
( 50
33.3%
) 50
33.3%
45
30.0%
. 2
 
1.3%
_ 1
 
0.7%
& 1
 
0.7%
· 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 674
80.1%
ASCII 166
 
19.7%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 52
 
7.7%
식 25
 
3.7%
점 23
 
3.4%
푸 22
 
3.3%
이 22
 
3.3%
드 20
 
3.0%
스 20
 
3.0%
제 15
 
2.2%
당 14
 
2.1%
원 12
 
1.8%
Other values (166) 449
66.6%
ASCII
ValueCountFrequency (%)
( 50
30.1%
) 50
30.1%
45
27.1%
F 4
 
2.4%
S 4
 
2.4%
C 2
 
1.2%
I 2
 
1.2%
. 2
 
1.2%
T 1
 
0.6%
_ 1
 
0.6%
Other values (5) 5
 
3.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(도로명)
Text

MISSING 

Distinct71
Distinct (%)100.0%
Missing1
Missing (%)1.4%
Memory size708.0 B
2023-12-12T16:09:21.292206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length28.253521
Min length21

Characters and Unicode

Total characters2006
Distinct characters114
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

Unique71 ?
Unique (%)100.0%

Sample

1st row부산광역시 사하구 신산로 99 (신평동,동성화학공업(주))
2nd row부산광역시 사하구 을숙도대로 555 (신평동)
3rd row부산광역시 사하구 다산로 147 (다대동)
4th row부산광역시 사하구 을숙도대로 651 (신평동,삼양통상)
5th row부산광역시 사하구 을숙도대로 525 (신평동)
ValueCountFrequency (%)
부산광역시 71
17.8%
사하구 71
17.8%
신평동 26
 
6.5%
다대동 12
 
3.0%
장림동 10
 
2.5%
1층 8
 
2.0%
을숙도대로 8
 
2.0%
다대로 7
 
1.8%
다산로 7
 
1.8%
2층 7
 
1.8%
Other values (127) 173
43.2%
2023-12-12T16:09:21.753089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
329
 
16.4%
산 91
 
4.5%
하 87
 
4.3%
동 82
 
4.1%
구 82
 
4.1%
사 76
 
3.8%
) 76
 
3.8%
( 76
 
3.8%
부 73
 
3.6%
광 71
 
3.5%
Other values (104) 963
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1206
60.1%
Space Separator 329
 
16.4%
Decimal Number 266
 
13.3%
Close Punctuation 76
 
3.8%
Open Punctuation 76
 
3.8%
Other Punctuation 39
 
1.9%
Uppercase Letter 8
 
0.4%
Lowercase Letter 4
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 91
 
7.5%
하 87
 
7.2%
동 82
 
6.8%
구 82
 
6.8%
사 76
 
6.3%
부 73
 
6.1%
광 71
 
5.9%
역 71
 
5.9%
시 71
 
5.9%
로 71
 
5.9%
Other values (79) 431
35.7%
Decimal Number
ValueCountFrequency (%)
1 57
21.4%
2 35
13.2%
6 31
11.7%
0 27
10.2%
3 25
9.4%
5 24
9.0%
4 21
 
7.9%
7 20
 
7.5%
9 18
 
6.8%
8 8
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
K 2
25.0%
A 1
12.5%
N 1
12.5%
C 1
12.5%
Y 1
12.5%
S 1
12.5%
T 1
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
t 1
25.0%
l 1
25.0%
Space Separator
ValueCountFrequency (%)
329
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1206
60.1%
Common 788
39.3%
Latin 12
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 91
 
7.5%
하 87
 
7.2%
동 82
 
6.8%
구 82
 
6.8%
사 76
 
6.3%
부 73
 
6.1%
광 71
 
5.9%
역 71
 
5.9%
시 71
 
5.9%
로 71
 
5.9%
Other values (79) 431
35.7%
Common
ValueCountFrequency (%)
329
41.8%
) 76
 
9.6%
( 76
 
9.6%
1 57
 
7.2%
, 39
 
4.9%
2 35
 
4.4%
6 31
 
3.9%
0 27
 
3.4%
3 25
 
3.2%
5 24
 
3.0%
Other values (5) 69
 
8.8%
Latin
ValueCountFrequency (%)
e 2
16.7%
K 2
16.7%
A 1
8.3%
N 1
8.3%
C 1
8.3%
Y 1
8.3%
S 1
8.3%
t 1
8.3%
l 1
8.3%
T 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1206
60.1%
ASCII 800
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
329
41.1%
) 76
 
9.5%
( 76
 
9.5%
1 57
 
7.1%
, 39
 
4.9%
2 35
 
4.4%
6 31
 
3.9%
0 27
 
3.4%
3 25
 
3.1%
5 24
 
3.0%
Other values (15) 81
 
10.1%
Hangul
ValueCountFrequency (%)
산 91
 
7.5%
하 87
 
7.2%
동 82
 
6.8%
구 82
 
6.8%
사 76
 
6.3%
부 73
 
6.1%
광 71
 
5.9%
역 71
 
5.9%
시 71
 
5.9%
로 71
 
5.9%
Other values (79) 431
35.7%

소재지(지번)_일부
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T16:09:22.113160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length11.361111
Min length7

Characters and Unicode

Total characters818
Distinct characters81
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

Unique72 ?
Unique (%)100.0%

Sample

1st row신평동 472 동성화학공업(주)
2nd row신평동 370-31
3rd row다대동 1508-5
4th row신평동 569 삼양통상
5th row신평동 370-19
ValueCountFrequency (%)
신평동 28
 
17.0%
장림동 15
 
9.1%
다대동 12
 
7.3%
구평동 8
 
4.8%
괴정동 4
 
2.4%
하단동 3
 
1.8%
산 2
 
1.2%
감천동 2
 
1.2%
514 1
 
0.6%
484 1
 
0.6%
Other values (89) 89
53.9%
2023-12-12T16:09:22.650874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
20.2%
동 74
 
9.0%
1 56
 
6.8%
5 45
 
5.5%
- 45
 
5.5%
평 36
 
4.4%
3 31
 
3.8%
0 29
 
3.5%
신 28
 
3.4%
9 26
 
3.2%
Other values (71) 283
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
37.0%
Decimal Number 293
35.8%
Space Separator 165
20.2%
Dash Punctuation 45
 
5.5%
Close Punctuation 5
 
0.6%
Open Punctuation 5
 
0.6%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 74
24.4%
평 36
11.9%
신 28
 
9.2%
림 16
 
5.3%
장 16
 
5.3%
대 14
 
4.6%
다 13
 
4.3%
구 8
 
2.6%
하 6
 
2.0%
괴 5
 
1.7%
Other values (55) 87
28.7%
Decimal Number
ValueCountFrequency (%)
1 56
19.1%
5 45
15.4%
3 31
10.6%
0 29
9.9%
9 26
8.9%
8 24
8.2%
6 22
 
7.5%
4 20
 
6.8%
7 20
 
6.8%
2 20
 
6.8%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 513
62.7%
Hangul 303
37.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 74
24.4%
평 36
11.9%
신 28
 
9.2%
림 16
 
5.3%
장 16
 
5.3%
대 14
 
4.6%
다 13
 
4.3%
구 8
 
2.6%
하 6
 
2.0%
괴 5
 
1.7%
Other values (55) 87
28.7%
Common
ValueCountFrequency (%)
165
32.2%
1 56
 
10.9%
5 45
 
8.8%
- 45
 
8.8%
3 31
 
6.0%
0 29
 
5.7%
9 26
 
5.1%
8 24
 
4.7%
6 22
 
4.3%
4 20
 
3.9%
Other values (4) 50
 
9.7%
Latin
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 515
63.0%
Hangul 303
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
32.0%
1 56
 
10.9%
5 45
 
8.7%
- 45
 
8.7%
3 31
 
6.0%
0 29
 
5.6%
9 26
 
5.0%
8 24
 
4.7%
6 22
 
4.3%
4 20
 
3.9%
Other values (6) 52
 
10.1%
Hangul
ValueCountFrequency (%)
동 74
24.4%
평 36
11.9%
신 28
 
9.2%
림 16
 
5.3%
장 16
 
5.3%
대 14
 
4.6%
다 13
 
4.3%
구 8
 
2.6%
하 6
 
2.0%
괴 5
 
1.7%
Other values (55) 87
28.7%

소재지전화
Text

MISSING 

Distinct42
Distinct (%)97.7%
Missing29
Missing (%)40.3%
Memory size708.0 B
2023-12-12T16:09:22.952231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.976744
Min length13

Characters and Unicode

Total characters601
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

Unique41 ?
Unique (%)95.3%

Sample

1st row 051- 200-4574
2nd row 051- 205-9111
3rd row 051- 266-2664
4th row 051- 266-2664
5th row 051- 206-3110
ValueCountFrequency (%)
051 33
33.0%
264 3
 
3.0%
266-2664 2
 
2.0%
055 2
 
2.0%
7188 1
 
1.0%
8203 1
 
1.0%
1903 1
 
1.0%
052 1
 
1.0%
256-6395 1
 
1.0%
209 1
 
1.0%
Other values (54) 54
54.0%
2023-12-12T16:09:23.372496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 86
14.3%
- 86
14.3%
85
14.1%
1 71
11.8%
5 70
11.6%
2 59
9.8%
6 32
 
5.3%
3 31
 
5.2%
8 23
 
3.8%
4 22
 
3.7%
Other values (2) 36
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 430
71.5%
Dash Punctuation 86
 
14.3%
Space Separator 85
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 86
20.0%
1 71
16.5%
5 70
16.3%
2 59
13.7%
6 32
 
7.4%
3 31
 
7.2%
8 23
 
5.3%
4 22
 
5.1%
9 20
 
4.7%
7 16
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Space Separator
ValueCountFrequency (%)
85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 601
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 86
14.3%
- 86
14.3%
85
14.1%
1 71
11.8%
5 70
11.6%
2 59
9.8%
6 32
 
5.3%
3 31
 
5.2%
8 23
 
3.8%
4 22
 
3.7%
Other values (2) 36
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 601
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 86
14.3%
- 86
14.3%
85
14.1%
1 71
11.8%
5 70
11.6%
2 59
9.8%
6 32
 
5.3%
3 31
 
5.2%
8 23
 
3.8%
4 22
 
3.7%
Other values (2) 36
6.0%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2023-11-21 00:00:00
Maximum2023-11-21 00:00:00
2023-12-12T16:09:23.524446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:23.944223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T16:09:24.030084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지(지번)_일부소재지전화
업소명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
소재지(지번)_일부1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000

Missing values

2023-12-12T16:09:19.923012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:09:20.028136image/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.
2023-12-12T16:09:20.119238image/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

업종명업소명소재지(도로명)소재지(지번)_일부소재지전화데이터 기준일자
0위탁급식영업(주)풀무원푸드앤컬처 동성케미컬부산광역시 사하구 신산로 99 (신평동,동성화학공업(주))신평동 472 동성화학공업(주)051- 200-45742023-11-21
1위탁급식영업(주)녹채원푸드시스템(제일전기공업(주))부산광역시 사하구 을숙도대로 555 (신평동)신평동 370-31051- 205-91112023-11-21
2위탁급식영업(주)명문푸드서비스 동양제강점부산광역시 사하구 다산로 147 (다대동)다대동 1508-5051- 266-26642023-11-21
3위탁급식영업해주푸드부산광역시 사하구 을숙도대로 651 (신평동,삼양통상)신평동 569 삼양통상<NA>2023-11-21
4위탁급식영업(주)씨엠 한국주철관공업(주)점부산광역시 사하구 을숙도대로 525 (신평동)신평동 370-19051- 266-26642023-11-21
5위탁급식영업씨제이프레시웨이(주)와이케이스틸점부산광역시 사하구 을숙도대로 760 (구평동, YK-Steel(주) 구내식당)구평동 90051- 206-31102023-11-21
6위탁급식영업대원식품부산광역시 사하구 하신번영로 69 (신평동)신평동 370-16051- 201-24612023-11-21
7위탁급식영업(주)녹채원푸드시스템<NA>장림동 380-1 한서병원(지하)<NA>2023-11-21
8위탁급식영업(주)진주랑푸드서비스 (주)비엠씨점부산광역시 사하구 홍티로 109 (다대동)다대동 1506-12051- 262-29422023-11-21
9위탁급식영업한국남부발전주식회사 부산복합화력본부 구내식당부산광역시 사하구 감천항로 7 (감천동)감천동 759-8051- 200-22492023-11-21
업종명업소명소재지(도로명)소재지(지번)_일부소재지전화데이터 기준일자
62위탁급식영업가내찬 삼진식품점부산광역시 사하구 다대로1066번길 51, 삼진식품 2층 (장림동)장림동 1081-4051 -264 -71882023-11-21
63위탁급식영업주식회사 진아푸드부산광역시 사하구 을숙도대로677번길 23, 2층 (신평동)신평동 566-10051- 864-83022023-11-21
64위탁급식영업은푸드부산광역시 사하구 두송로 265, 6층 (구평동)구평동 302<NA>2023-11-21
65위탁급식영업(주)소담푸드 코메론점부산광역시 사하구 장평로 73, 공장동 지하 1층 (장림동)장림동 575051 - 727-30412023-11-21
66위탁급식영업가람FS부산광역시 사하구 홍티로 100, A동 4층 (다대동)다대동 1617<NA>2023-11-21
67위탁급식영업가람FS부산광역시 사하구 다산로 80, 3층 (다대동)다대동 1517-2051- 531-29812023-11-21
68위탁급식영업삼성웰스토리(주)씨제이제일제당 부산부산광역시 사하구 다대로 210, 21호동 1,2층 (장림동)장림동 1037<NA>2023-11-21
69위탁급식영업(주)가야웰빙푸드 사하경찰서부산광역시 사하구 을숙도대로 665, 부산사하경찰서 (신평동)신평동 569-1 부산사하경찰서<NA>2023-11-21
70위탁급식영업(주)녹채원푸드시스템 더탄탄병원점부산광역시 사하구 사하로 189, 3층 (괴정동, 괴정어반푸르지오)괴정동 950-2 괴정어반푸르지오<NA>2023-11-21
71위탁급식영업부산해사랑부산광역시 사하구 을숙도대로 717, 3층 (구평동)구평동 112-1<NA>2023-11-21