Overview

Dataset statistics

Number of variables7
Number of observations77
Missing cells45
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory58.7 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description남양주시의 위탁급식소 목록에 대한 데이터로 업태명(위탁급식영업), 업소명, 소재지주소, 전화번호 등의 항목을 제공합니다.
Author경기도 남양주시
URLhttps://www.data.go.kr/data/15088457/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 45 (58.4%) missing valuesMissing
연번 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:32:06.989426
Analysis finished2024-03-14 09:32:08.647992
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39
Minimum1
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size821.0 B
2024-03-14T18:32:08.866142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.8
Q120
median39
Q358
95-th percentile73.2
Maximum77
Range76
Interquartile range (IQR)38

Descriptive statistics

Standard deviation22.371857
Coefficient of variation (CV)0.57363737
Kurtosis-1.2
Mean39
Median Absolute Deviation (MAD)19
Skewness0
Sum3003
Variance500.5
MonotonicityStrictly increasing
2024-03-14T18:32:09.329944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (67) 67
87.0%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
77 1
1.3%
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size744.0 B
위탁급식영업
77 

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 77
100.0%

Length

2024-03-14T18:32:09.749508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:32:10.052725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁급식영업 77
100.0%

업소명
Text

Distinct75
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size744.0 B
2024-03-14T18:32:10.956995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.1038961
Min length2

Characters and Unicode

Total characters701
Distinct characters183
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)94.8%

Sample

1st row미송
2nd row신세계푸드 진건고
3rd row다산푸드시스템(주)
4th row누렁소
5th row남현물류(주)
ValueCountFrequency (%)
주식회사 6
 
5.3%
주)엘에스씨푸드 4
 
3.5%
남양주점 3
 
2.6%
섬김푸드시스템 2
 
1.8%
초이스푸드 2
 
1.8%
구내식당 2
 
1.8%
주)현대그린푸드 2
 
1.8%
풀무원푸드앤컬처 2
 
1.8%
풍년식당 1
 
0.9%
경도에프앤비 1
 
0.9%
Other values (89) 89
78.1%
2024-03-14T18:32:12.179868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 41
 
5.8%
37
 
5.3%
푸 32
 
4.6%
드 32
 
4.6%
) 23
 
3.3%
( 23
 
3.3%
스 21
 
3.0%
양 20
 
2.9%
에 17
 
2.4%
이 16
 
2.3%
Other values (173) 439
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 605
86.3%
Space Separator 37
 
5.3%
Close Punctuation 23
 
3.3%
Open Punctuation 23
 
3.3%
Uppercase Letter 11
 
1.6%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 41
 
6.8%
푸 32
 
5.3%
드 32
 
5.3%
스 21
 
3.5%
양 20
 
3.3%
에 17
 
2.8%
이 16
 
2.6%
원 13
 
2.1%
남 13
 
2.1%
식 13
 
2.1%
Other values (161) 387
64.0%
Uppercase Letter
ValueCountFrequency (%)
C 3
27.3%
H 2
18.2%
S 2
18.2%
W 1
 
9.1%
J 1
 
9.1%
F 1
 
9.1%
K 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 605
86.3%
Common 85
 
12.1%
Latin 11
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 41
 
6.8%
푸 32
 
5.3%
드 32
 
5.3%
스 21
 
3.5%
양 20
 
3.3%
에 17
 
2.8%
이 16
 
2.6%
원 13
 
2.1%
남 13
 
2.1%
식 13
 
2.1%
Other values (161) 387
64.0%
Latin
ValueCountFrequency (%)
C 3
27.3%
H 2
18.2%
S 2
18.2%
W 1
 
9.1%
J 1
 
9.1%
F 1
 
9.1%
K 1
 
9.1%
Common
ValueCountFrequency (%)
37
43.5%
) 23
27.1%
( 23
27.1%
1 1
 
1.2%
2 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 605
86.3%
ASCII 96
 
13.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 41
 
6.8%
푸 32
 
5.3%
드 32
 
5.3%
스 21
 
3.5%
양 20
 
3.3%
에 17
 
2.8%
이 16
 
2.6%
원 13
 
2.1%
남 13
 
2.1%
식 13
 
2.1%
Other values (161) 387
64.0%
ASCII
ValueCountFrequency (%)
37
38.5%
) 23
24.0%
( 23
24.0%
C 3
 
3.1%
H 2
 
2.1%
S 2
 
2.1%
W 1
 
1.0%
J 1
 
1.0%
1 1
 
1.0%
F 1
 
1.0%
Other values (2) 2
 
2.1%

소재지(도로명)
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size744.0 B
2024-03-14T18:32:13.080106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length43
Mean length32.987013
Min length19

Characters and Unicode

Total characters2540
Distinct characters190
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)100.0%

Sample

1st row경기도 남양주시 화도읍 북한강로 1525-52
2nd row경기도 남양주시 진건읍 진건오남로 369-1
3rd row경기도 남양주시 와부읍 덕소로 194
4th row경기도 남양주시 경춘로990번길 37 (금곡동)
5th row경기도 남양주시 진접읍 양진로 962
ValueCountFrequency (%)
경기도 77
 
14.8%
남양주시 77
 
14.8%
일부 18
 
3.5%
진접읍 18
 
3.5%
1층 14
 
2.7%
주1동 13
 
2.5%
화도읍 11
 
2.1%
다산동 9
 
1.7%
2층 8
 
1.5%
진건읍 8
 
1.5%
Other values (200) 268
51.4%
2024-03-14T18:32:14.447904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
444
 
17.5%
1 115
 
4.5%
주 105
 
4.1%
경 91
 
3.6%
남 89
 
3.5%
도 89
 
3.5%
양 88
 
3.5%
시 80
 
3.1%
기 79
 
3.1%
로 77
 
3.0%
Other values (180) 1283
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1531
60.3%
Space Separator 444
 
17.5%
Decimal Number 409
 
16.1%
Other Punctuation 61
 
2.4%
Close Punctuation 32
 
1.3%
Open Punctuation 32
 
1.3%
Dash Punctuation 21
 
0.8%
Uppercase Letter 9
 
0.4%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 105
 
6.9%
경 91
 
5.9%
남 89
 
5.8%
도 89
 
5.8%
양 88
 
5.7%
시 80
 
5.2%
기 79
 
5.2%
로 77
 
5.0%
동 57
 
3.7%
층 56
 
3.7%
Other values (157) 720
47.0%
Decimal Number
ValueCountFrequency (%)
1 115
28.1%
2 67
16.4%
5 40
 
9.8%
3 34
 
8.3%
4 33
 
8.1%
9 30
 
7.3%
7 26
 
6.4%
8 24
 
5.9%
0 23
 
5.6%
6 17
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
S 2
22.2%
A 2
22.2%
G 1
11.1%
E 1
11.1%
C 1
11.1%
P 1
11.1%
D 1
11.1%
Space Separator
ValueCountFrequency (%)
444
100.0%
Other Punctuation
ValueCountFrequency (%)
, 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1532
60.3%
Common 999
39.3%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 105
 
6.9%
경 91
 
5.9%
남 89
 
5.8%
도 89
 
5.8%
양 88
 
5.7%
시 80
 
5.2%
기 79
 
5.2%
로 77
 
5.0%
동 57
 
3.7%
층 56
 
3.7%
Other values (158) 721
47.1%
Common
ValueCountFrequency (%)
444
44.4%
1 115
 
11.5%
2 67
 
6.7%
, 61
 
6.1%
5 40
 
4.0%
3 34
 
3.4%
4 33
 
3.3%
) 32
 
3.2%
( 32
 
3.2%
9 30
 
3.0%
Other values (5) 111
 
11.1%
Latin
ValueCountFrequency (%)
S 2
22.2%
A 2
22.2%
G 1
11.1%
E 1
11.1%
C 1
11.1%
P 1
11.1%
D 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1531
60.3%
ASCII 1008
39.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
444
44.0%
1 115
 
11.4%
2 67
 
6.6%
, 61
 
6.1%
5 40
 
4.0%
3 34
 
3.4%
4 33
 
3.3%
) 32
 
3.2%
( 32
 
3.2%
9 30
 
3.0%
Other values (12) 120
 
11.9%
Hangul
ValueCountFrequency (%)
주 105
 
6.9%
경 91
 
5.9%
남 89
 
5.8%
도 89
 
5.8%
양 88
 
5.7%
시 80
 
5.2%
기 79
 
5.2%
로 77
 
5.0%
동 57
 
3.7%
층 56
 
3.7%
Other values (157) 720
47.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지(지번)
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size744.0 B
2024-03-14T18:32:15.398294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length38
Mean length29.636364
Min length17

Characters and Unicode

Total characters2282
Distinct characters173
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)100.0%

Sample

1st row경기도 남양주시 화도읍 금남리 300
2nd row경기도 남양주시 진건읍 송능리 62-1
3rd row경기도 남양주시 와부읍 도곡리 991-1
4th row경기도 남양주시 금곡동 152-18
5th row경기도 남양주시 진접읍 연평리 195-2
ValueCountFrequency (%)
경기도 77
 
15.8%
남양주시 77
 
15.8%
일부 18
 
3.7%
진접읍 18
 
3.7%
주1동 14
 
2.9%
1층 11
 
2.3%
화도읍 11
 
2.3%
다산동 9
 
1.8%
진건읍 8
 
1.6%
장현리 6
 
1.2%
Other values (170) 239
49.0%
2024-03-14T18:32:16.788131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
485
21.3%
1 107
 
4.7%
주 106
 
4.6%
남 96
 
4.2%
도 89
 
3.9%
양 84
 
3.7%
시 80
 
3.5%
기 79
 
3.5%
경 78
 
3.4%
- 60
 
2.6%
Other values (163) 1018
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1323
58.0%
Space Separator 485
 
21.3%
Decimal Number 393
 
17.2%
Dash Punctuation 60
 
2.6%
Uppercase Letter 9
 
0.4%
Close Punctuation 4
 
0.2%
Open Punctuation 4
 
0.2%
Other Punctuation 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 106
 
8.0%
남 96
 
7.3%
도 89
 
6.7%
양 84
 
6.3%
시 80
 
6.0%
기 79
 
6.0%
경 78
 
5.9%
동 58
 
4.4%
리 53
 
4.0%
읍 47
 
3.6%
Other values (140) 553
41.8%
Decimal Number
ValueCountFrequency (%)
1 107
27.2%
2 54
13.7%
3 43
10.9%
6 36
 
9.2%
0 33
 
8.4%
5 33
 
8.4%
4 28
 
7.1%
9 24
 
6.1%
7 18
 
4.6%
8 17
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
S 2
22.2%
A 2
22.2%
G 1
11.1%
C 1
11.1%
P 1
11.1%
E 1
11.1%
D 1
11.1%
Space Separator
ValueCountFrequency (%)
485
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1324
58.0%
Common 949
41.6%
Latin 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 106
 
8.0%
남 96
 
7.3%
도 89
 
6.7%
양 84
 
6.3%
시 80
 
6.0%
기 79
 
6.0%
경 78
 
5.9%
동 58
 
4.4%
리 53
 
4.0%
읍 47
 
3.5%
Other values (141) 554
41.8%
Common
ValueCountFrequency (%)
485
51.1%
1 107
 
11.3%
- 60
 
6.3%
2 54
 
5.7%
3 43
 
4.5%
6 36
 
3.8%
0 33
 
3.5%
5 33
 
3.5%
4 28
 
3.0%
9 24
 
2.5%
Other values (5) 46
 
4.8%
Latin
ValueCountFrequency (%)
S 2
22.2%
A 2
22.2%
G 1
11.1%
C 1
11.1%
P 1
11.1%
E 1
11.1%
D 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1323
58.0%
ASCII 958
42.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
485
50.6%
1 107
 
11.2%
- 60
 
6.3%
2 54
 
5.6%
3 43
 
4.5%
6 36
 
3.8%
0 33
 
3.4%
5 33
 
3.4%
4 28
 
2.9%
9 24
 
2.5%
Other values (12) 55
 
5.7%
Hangul
ValueCountFrequency (%)
주 106
 
8.0%
남 96
 
7.3%
도 89
 
6.7%
양 84
 
6.3%
시 80
 
6.0%
기 79
 
6.0%
경 78
 
5.9%
동 58
 
4.4%
리 53
 
4.0%
읍 47
 
3.6%
Other values (140) 553
41.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지전화
Text

MISSING 

Distinct30
Distinct (%)93.8%
Missing45
Missing (%)58.4%
Memory size744.0 B
2024-03-14T18:32:17.585892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.90625
Min length11

Characters and Unicode

Total characters381
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

Unique28 ?
Unique (%)87.5%

Sample

1st row031-511-7615
2nd row031-575-3036
3rd row031-577-7872
4th row031-591-8068
5th row031-572-3310
ValueCountFrequency (%)
02-3392-0455 2
 
6.2%
042-931-3880 2
 
6.2%
031-511-7615 1
 
3.1%
02-420-5461 1
 
3.1%
02-477-0819 1
 
3.1%
031-525-2515 1
 
3.1%
031-581-6085 1
 
3.1%
02-3400-7693 1
 
3.1%
031-571-4115 1
 
3.1%
031-523-9119 1
 
3.1%
Other values (20) 20
62.5%
2024-03-14T18:32:18.775745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 64
16.8%
- 64
16.8%
1 52
13.6%
3 43
11.3%
5 40
10.5%
2 29
7.6%
9 22
 
5.8%
7 19
 
5.0%
6 18
 
4.7%
4 15
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 317
83.2%
Dash Punctuation 64
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 64
20.2%
1 52
16.4%
3 43
13.6%
5 40
12.6%
2 29
9.1%
9 22
 
6.9%
7 19
 
6.0%
6 18
 
5.7%
4 15
 
4.7%
8 15
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 381
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 64
16.8%
- 64
16.8%
1 52
13.6%
3 43
11.3%
5 40
10.5%
2 29
7.6%
9 22
 
5.8%
7 19
 
5.0%
6 18
 
4.7%
4 15
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 381
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 64
16.8%
- 64
16.8%
1 52
13.6%
3 43
11.3%
5 40
10.5%
2 29
7.6%
9 22
 
5.8%
7 19
 
5.0%
6 18
 
4.7%
4 15
 
3.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size744.0 B
2024-02-07
77 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-07
2nd row2024-02-07
3rd row2024-02-07
4th row2024-02-07
5th row2024-02-07

Common Values

ValueCountFrequency (%)
2024-02-07 77
100.0%

Length

2024-03-14T18:32:19.181783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:32:19.488593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-07 77
100.0%

Interactions

2024-03-14T18:32:07.708037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:32:19.675529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)소재지(지번)소재지전화
연번1.0000.9751.0001.0000.612
업소명0.9751.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.0001.000
소재지전화0.6121.0001.0001.0001.000

Missing values

2024-03-14T18:32:08.111235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:32:08.498646image/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)소재지전화데이터기준일자
01위탁급식영업미송경기도 남양주시 화도읍 북한강로 1525-52경기도 남양주시 화도읍 금남리 300031-511-76152024-02-07
12위탁급식영업신세계푸드 진건고경기도 남양주시 진건읍 진건오남로 369-1경기도 남양주시 진건읍 송능리 62-1031-575-30362024-02-07
23위탁급식영업다산푸드시스템(주)경기도 남양주시 와부읍 덕소로 194경기도 남양주시 와부읍 도곡리 991-1031-577-78722024-02-07
34위탁급식영업누렁소경기도 남양주시 경춘로990번길 37 (금곡동)경기도 남양주시 금곡동 152-18031-591-80682024-02-07
45위탁급식영업남현물류(주)경기도 남양주시 진접읍 양진로 962경기도 남양주시 진접읍 연평리 195-2031-572-33102024-02-07
56위탁급식영업(주)성경푸드경기도 남양주시 진접읍 경복대로 425경기도 남양주시 진접읍 금곡리 383031-573-99012024-02-07
67위탁급식영업삼광남양주지점경기도 남양주시 별내5로 189-120 (별내동,외14필지)경기도 남양주시 별내동 1450-6 외14필지031-570-88662024-02-07
78위탁급식영업효담요양병원경기도 남양주시 평내로29번길 41, 9층 (평내동, 메인프라자)경기도 남양주시 평내동 578-3 메인프라자9층031-511-51002024-02-07
89위탁급식영업제일에프앤비(주)축령산지점경기도 남양주시 수동면 외방로135번길 12-30경기도 남양주시 수동면 외방리 150-1031-594-67942024-02-07
910위탁급식영업서경경기도 남양주시 의안로 124-69 (평내동)경기도 남양주시 평내동 651-1031-594-60202024-02-07
연번업종명업소명소재지(도로명)소재지(지번)소재지전화데이터기준일자
6768위탁급식영업정우푸드 빙그레 1공장점경기도 남양주시 다산순환로 45 (주)빙그레 1층 일부호 (다산동)경기도 남양주시 다산동 4344-3 (주)빙그레 1공장 1층 일부<NA>2024-02-07
6869위탁급식영업주식회사 비오씨경기도 남양주시 진건읍 사릉로392번길 35, 주2동 1층 일부경기도 남양주시 진건읍 용정리 369-7 주2동 1층 일부<NA>2024-02-07
6970위탁급식영업초이스푸드경기도 남양주시 진접읍 봉현로59번길 19, 주건축물제1동 지1층 일부경기도 남양주시 진접읍 장현리 569-31 주건축물제1동 지1층 일부<NA>2024-02-07
7071위탁급식영업새해오름 마리산부인과지점경기도 남양주시 별내3로 320, 센트럴프라자 6층 일부 (별내동)경기도 남양주시 별내동 826-9 센트럴프라자 6층 일부<NA>2024-02-07
7172위탁급식영업(주)다원체어스경기도 남양주시 수동면 소래비로 474-10, 주1동 2층 일부경기도 남양주시 수동면 송천리 455-1 주1동 2층 일부<NA>2024-02-07
7273위탁급식영업다산요양원경기도 남양주시 화도읍 마치로 147-76, 주1동 지1층 일부경기도 남양주시 화도읍 묵현리 597-22 주1동 지1층 일부<NA>2024-02-07
7374위탁급식영업다연FS경기도 남양주시 다산중앙로82번안길 149, 주1동 1층 일부 (다산동)경기도 남양주시 다산동 3232 주1동 1층 일부<NA>2024-02-07
7475위탁급식영업혜성병원경기도 남양주시 경춘로1308번길 4, 10층 일부 (평내동)경기도 남양주시 평내동 200-1 10층 일부<NA>2024-02-07
7576위탁급식영업섬김푸드시스템경기도 남양주시 진접읍 진벌로 127, 주건축물제1동 지하2층 일부경기도 남양주시 진접읍 진벌리 500-9 주건축물제1동 지하2층 일부<NA>2024-02-07
7677위탁급식영업섬김푸드시스템경기도 남양주시 진접읍 진벌로 133-3, 주건축물제1동 지하2층 일부경기도 남양주시 진접읍 진벌리 500-1 주건축물제1동 지하2층 일부<NA>2024-02-07