Overview

Dataset statistics

Number of variables9
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory76.9 B

Variable types

Numeric1
Text4
Categorical3
DateTime1

Dataset

Description경기도_양주시_모범음식점 지정업소 현황(업소명, 업태명, 주음식, 소재지(도로명), 전화번호, 행정동 등)
Author경기도 양주시
URLhttps://www.data.go.kr/data/3079041/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:37:55.146982
Analysis finished2023-12-12 09:37:55.934918
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-12T18:37:56.003134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2023-12-12T18:37:56.151140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

업소명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T18:37:56.414633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11.5
Mean length5.5
Min length2

Characters and Unicode

Total characters187
Distinct characters114
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row뫼골산장
2nd row원봉산
3rd row양주골전통순대국
4th row담아
5th row양주골 초계탕
ValueCountFrequency (%)
뫼골산장 1
 
2.5%
기산약수촌 1
 
2.5%
만두예찬 1
 
2.5%
최가네양구펀치볼시래기 1
 
2.5%
별내옥설농탕 1
 
2.5%
대성민물매운탕 1
 
2.5%
김경자 1
 
2.5%
소문난 1
 
2.5%
대구왕뽈찜 1
 
2.5%
원봉산 1
 
2.5%
Other values (30) 30
75.0%
2023-12-12T18:37:56.808439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
3.2%
6
 
3.2%
6
 
3.2%
6
 
3.2%
5
 
2.7%
5
 
2.7%
4
 
2.1%
4
 
2.1%
3
 
1.6%
3
 
1.6%
Other values (104) 139
74.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
95.2%
Space Separator 6
 
3.2%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
3.4%
6
 
3.4%
6
 
3.4%
5
 
2.8%
5
 
2.8%
4
 
2.2%
4
 
2.2%
3
 
1.7%
3
 
1.7%
3
 
1.7%
Other values (100) 133
74.7%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
95.2%
Common 9
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
3.4%
6
 
3.4%
6
 
3.4%
5
 
2.8%
5
 
2.8%
4
 
2.2%
4
 
2.2%
3
 
1.7%
3
 
1.7%
3
 
1.7%
Other values (100) 133
74.7%
Common
ValueCountFrequency (%)
6
66.7%
) 1
 
11.1%
( 1
 
11.1%
1 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
95.2%
ASCII 9
 
4.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6
66.7%
) 1
 
11.1%
( 1
 
11.1%
1 1
 
11.1%
Hangul
ValueCountFrequency (%)
6
 
3.4%
6
 
3.4%
6
 
3.4%
5
 
2.8%
5
 
2.8%
4
 
2.2%
4
 
2.2%
3
 
1.7%
3
 
1.7%
3
 
1.7%
Other values (100) 133
74.7%

업태명
Categorical

Distinct7
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
한식
24 
식육(숯불구이)
탕류(보신용)
 
1
냉면집
 
1
중국식
 
1
Other values (2)
 
2

Length

Max length8
Median length2
Mean length3.1176471
Min length2

Unique

Unique5 ?
Unique (%)14.7%

Sample

1st row식육(숯불구이)
2nd row한식
3rd row한식
4th row한식
5th row탕류(보신용)

Common Values

ValueCountFrequency (%)
한식 24
70.6%
식육(숯불구이) 5
 
14.7%
탕류(보신용) 1
 
2.9%
냉면집 1
 
2.9%
중국식 1
 
2.9%
경양식 1
 
2.9%
일식 1
 
2.9%

Length

2023-12-12T18:37:56.973726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:37:57.100680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 24
70.6%
식육(숯불구이 5
 
14.7%
탕류(보신용 1
 
2.9%
냉면집 1
 
2.9%
중국식 1
 
2.9%
경양식 1
 
2.9%
일식 1
 
2.9%
Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T18:37:57.343624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length4.7647059
Min length1

Characters and Unicode

Total characters162
Distinct characters81
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

Unique24 ?
Unique (%)70.6%

Sample

1st row등심, 치맛살
2nd row쌈밥정식,영양돌솥
3rd row순대국
4th row식육
5th row초계탕
ValueCountFrequency (%)
칼국수 3
 
7.7%
순대국 2
 
5.1%
부대찌개 2
 
5.1%
식육 2
 
5.1%
한우 2
 
5.1%
아구찜 1
 
2.6%
1
 
2.6%
소고기 1
 
2.6%
전문 1
 
2.6%
대구뽈찜 1
 
2.6%
Other values (23) 23
59.0%
2023-12-12T18:37:57.713072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 10
 
6.2%
6
 
3.7%
6
 
3.7%
5
 
3.1%
5
 
3.1%
5
 
3.1%
5
 
3.1%
4
 
2.5%
4
 
2.5%
3
 
1.9%
Other values (71) 109
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 147
90.7%
Other Punctuation 10
 
6.2%
Space Separator 5
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
4.1%
6
 
4.1%
5
 
3.4%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
3
 
2.0%
3
 
2.0%
3
 
2.0%
Other values (69) 103
70.1%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 147
90.7%
Common 15
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
4.1%
6
 
4.1%
5
 
3.4%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
3
 
2.0%
3
 
2.0%
3
 
2.0%
Other values (69) 103
70.1%
Common
ValueCountFrequency (%)
, 10
66.7%
5
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 147
90.7%
ASCII 15
 
9.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 10
66.7%
5
33.3%
Hangul
ValueCountFrequency (%)
6
 
4.1%
6
 
4.1%
5
 
3.4%
5
 
3.4%
5
 
3.4%
4
 
2.7%
4
 
2.7%
3
 
2.0%
3
 
2.0%
3
 
2.0%
Other values (69) 103
70.1%
Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T18:37:58.020287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length32
Mean length26.117647
Min length13

Characters and Unicode

Total characters888
Distinct characters87
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row경기도 양주시 백석읍 기산로 423-2
2nd row경기도 양주시 백석읍 권율로 1101
3rd row경기도 양주시 부흥로 1387 (유양동)
4th row경기도 양주시 만송로 255 (만송동)
5th row경기도 양주시 은현면 화합로 730
ValueCountFrequency (%)
경기도 34
18.2%
양주시 34
18.2%
백석읍 9
 
4.8%
1층 6
 
3.2%
기산로 4
 
2.1%
유양동 4
 
2.1%
부흥로 4
 
2.1%
화합로 3
 
1.6%
덕정동 3
 
1.6%
장흥면 3
 
1.6%
Other values (74) 83
44.4%
2023-12-12T18:37:58.474984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
17.2%
1 51
 
5.7%
39
 
4.4%
38
 
4.3%
37
 
4.2%
34
 
3.8%
34
 
3.8%
34
 
3.8%
29
 
3.3%
3 25
 
2.8%
Other values (77) 414
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 475
53.5%
Decimal Number 185
 
20.8%
Space Separator 153
 
17.2%
Close Punctuation 23
 
2.6%
Open Punctuation 23
 
2.6%
Other Punctuation 17
 
1.9%
Dash Punctuation 12
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
39
 
8.2%
38
 
8.0%
37
 
7.8%
34
 
7.2%
34
 
7.2%
34
 
7.2%
29
 
6.1%
22
 
4.6%
13
 
2.7%
10
 
2.1%
Other values (62) 185
38.9%
Decimal Number
ValueCountFrequency (%)
1 51
27.6%
3 25
13.5%
0 19
 
10.3%
2 19
 
10.3%
4 17
 
9.2%
9 14
 
7.6%
5 14
 
7.6%
8 13
 
7.0%
6 7
 
3.8%
7 6
 
3.2%
Space Separator
ValueCountFrequency (%)
153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 475
53.5%
Common 413
46.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
39
 
8.2%
38
 
8.0%
37
 
7.8%
34
 
7.2%
34
 
7.2%
34
 
7.2%
29
 
6.1%
22
 
4.6%
13
 
2.7%
10
 
2.1%
Other values (62) 185
38.9%
Common
ValueCountFrequency (%)
153
37.0%
1 51
 
12.3%
3 25
 
6.1%
) 23
 
5.6%
( 23
 
5.6%
0 19
 
4.6%
2 19
 
4.6%
4 17
 
4.1%
, 17
 
4.1%
9 14
 
3.4%
Other values (5) 52
 
12.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 475
53.5%
ASCII 413
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
37.0%
1 51
 
12.3%
3 25
 
6.1%
) 23
 
5.6%
( 23
 
5.6%
0 19
 
4.6%
2 19
 
4.6%
4 17
 
4.1%
, 17
 
4.1%
9 14
 
3.4%
Other values (5) 52
 
12.6%
Hangul
ValueCountFrequency (%)
39
 
8.2%
38
 
8.0%
37
 
7.8%
34
 
7.2%
34
 
7.2%
34
 
7.2%
29
 
6.1%
22
 
4.6%
13
 
2.7%
10
 
2.1%
Other values (62) 185
38.9%

전화번호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T18:37:58.715196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters408
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

Unique34 ?
Unique (%)100.0%

Sample

1st row031-871-7180
2nd row031-879-1005
3rd row031-840-7660
4th row031-821-7708
5th row031-867-2788
ValueCountFrequency (%)
031-871-7180 1
 
2.9%
031-879-1005 1
 
2.9%
031-858-3030 1
 
2.9%
031-857-9284 1
 
2.9%
031-855-6002 1
 
2.9%
031-848-6582 1
 
2.9%
031-840-1361 1
 
2.9%
031-840-8671 1
 
2.9%
031-826-6692 1
 
2.9%
031-871-8712 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T18:37:59.140263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
16.7%
8 57
14.0%
0 56
13.7%
1 53
13.0%
3 51
12.5%
6 27
 
6.6%
7 25
 
6.1%
2 22
 
5.4%
5 19
 
4.7%
4 17
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 340
83.3%
Dash Punctuation 68
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 57
16.8%
0 56
16.5%
1 53
15.6%
3 51
15.0%
6 27
7.9%
7 25
7.4%
2 22
 
6.5%
5 19
 
5.6%
4 17
 
5.0%
9 13
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
16.7%
8 57
14.0%
0 56
13.7%
1 53
13.0%
3 51
12.5%
6 27
 
6.6%
7 25
 
6.1%
2 22
 
5.4%
5 19
 
4.7%
4 17
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
16.7%
8 57
14.0%
0 56
13.7%
1 53
13.0%
3 51
12.5%
6 27
 
6.6%
7 25
 
6.1%
2 22
 
5.4%
5 19
 
4.7%
4 17
 
4.2%

행정동
Categorical

Distinct8
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
백석읍
양주1동
양주2동
회천1동
장흥면
Other values (3)

Length

Max length4
Median length4
Mean length3.5294118
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row백석읍
2nd row백석읍
3rd row양주1동
4th row양주2동
5th row은현면

Common Values

ValueCountFrequency (%)
백석읍 9
26.5%
양주1동 6
17.6%
양주2동 6
17.6%
회천1동 4
11.8%
장흥면 3
 
8.8%
은현면 2
 
5.9%
광적면 2
 
5.9%
회천3동 2
 
5.9%

Length

2023-12-12T18:37:59.332695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:37:59.467152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
백석읍 9
26.5%
양주1동 6
17.6%
양주2동 6
17.6%
회천1동 4
11.8%
장흥면 3
 
8.8%
은현면 2
 
5.9%
광적면 2
 
5.9%
회천3동 2
 
5.9%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
위생과
34 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
위생과 34
100.0%

Length

2023-12-12T18:37:59.617567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:37:59.740904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위생과 34
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2022-11-08 00:00:00
Maximum2022-11-08 00:00:00
2023-12-12T18:37:59.879027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:38:00.000890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T18:37:55.580407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:38:00.110054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명업태명주음식소재지(도로명)전화번호행정동
연번1.0001.0000.3920.6961.0001.0000.652
업소명1.0001.0001.0001.0001.0001.0001.000
업태명0.3921.0001.0001.0001.0001.0000.609
주음식0.6961.0001.0001.0001.0001.0000.905
소재지(도로명)1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
행정동0.6521.0000.6090.9051.0001.0001.000
2023-12-12T18:38:00.234180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동업태명
행정동1.0000.368
업태명0.3681.000
2023-12-12T18:38:00.322669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태명행정동
연번1.0000.1730.357
업태명0.1731.0000.368
행정동0.3570.3681.000

Missing values

2023-12-12T18:37:55.720924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:37:55.879739image/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

연번업소명업태명주음식소재지(도로명)전화번호행정동관리기관명데이터기준일자
01뫼골산장식육(숯불구이)등심, 치맛살경기도 양주시 백석읍 기산로 423-2031-871-7180백석읍위생과2022-11-08
12원봉산한식쌈밥정식,영양돌솥경기도 양주시 백석읍 권율로 1101031-879-1005백석읍위생과2022-11-08
23양주골전통순대국한식순대국경기도 양주시 부흥로 1387 (유양동)031-840-7660양주1동위생과2022-11-08
34담아한식식육경기도 양주시 만송로 255 (만송동)031-821-7708양주2동위생과2022-11-08
45양주골 초계탕탕류(보신용)초계탕경기도 양주시 은현면 화합로 730031-867-2788은현면위생과2022-11-08
56봉암식당한식식육경기도 양주시 은현면 봉암길 17 (1층 일부)031-863-5064은현면위생과2022-11-08
67신선식당한식오리구이,닭도리탕경기도 양주시 장흥면 권율로309번길 149031-855-5213장흥면위생과2022-11-08
78포동리한우식육(숯불구이)소고기,돼지고기경기도 양주시 광적면 가래비11길 6031-829-3766광적면위생과2022-11-08
89쌈마루한식쌈밥경기도 양주시 백석읍 양주산성로 565, 1동 1층031-878-7879백석읍위생과2022-11-08
910기산약수촌식육(숯불구이)한우경기도 양주시 백석읍 기산로 498-3031-871-8712백석읍위생과2022-11-08
연번업소명업태명주음식소재지(도로명)전화번호행정동관리기관명데이터기준일자
2425밀밭사랑한식칼국수경기도 양주시 부흥로1398번길 189 (남방동,외2필지(440-2,440-8))031-845-5522양주1동위생과2022-11-08
2526묵호횟집일식경기도 양주시 엄상동길 50-20 (고암동)031-861-6001회천3동위생과2022-11-08
2627황우촌한식소고기 전문경기도 양주시 백석읍 호명로 103-92031-826-6692백석읍위생과2022-11-08
2728김경자 소문난 대구왕뽈찜한식대구뽈찜, 아구찜경기도 양주시 외미로 99-8 (남방동, 주건축물제1동 1층(일부))031-840-8671양주1동위생과2022-11-08
2829대성민물매운탕한식매운탕경기도 양주시 원학로147번길 82-3, 1층 (광사동)031-840-1361양주2동위생과2022-11-08
2930별내옥설농탕한식설렁탕경기도 양주시 율정로 319, 제1동 1층 (삼숭동)031-848-6582양주2동위생과2022-11-08
3031최가네양구펀치볼시래기한식시래기비빔밥경기도 양주시 백석읍 호명로 51031-855-6002백석읍위생과2022-11-08
3132만두예찬한식만두전골, 칼국수경기도 양주시 화합로 1347 (덕정동)031-857-9284회천1동위생과2022-11-08
3233동두천호수부대찌개한식부대찌개경기도 양주시 화합로 1414 (덕정동,주용프라자 가동 1층(102,103,104,105호))031-858-3030회천1동위생과2022-11-08
3334최고집 찜 칼국수한식칼국수경기도 양주시 부흥로 2122 (삼숭동,외1필지(669-13)1층)031-846-4818양주2동위생과2022-11-08