Overview

Dataset statistics

Number of variables6
Number of observations104
Missing cells34
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory50.3 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description남양주시 숙박업소 정보 데이터로 업소명, 소재지 주소(도로명),소재지 주소(지번), 전화번호 등의 항목을 제공합니다.
Author경기도 남양주시
URLhttps://www.data.go.kr/data/3045043/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업소소재지(도로명) has 7 (6.7%) missing valuesMissing
전화번호 has 27 (26.0%) missing valuesMissing
연번 has unique valuesUnique
업소소재지(지번) has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:54:31.533132
Analysis finished2024-04-06 08:54:32.745674
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.5
Minimum1
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-06T17:54:32.903536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.15
Q126.75
median52.5
Q378.25
95-th percentile98.85
Maximum104
Range103
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation30.166206
Coefficient of variation (CV)0.5745944
Kurtosis-1.2
Mean52.5
Median Absolute Deviation (MAD)26
Skewness0
Sum5460
Variance910
MonotonicityStrictly increasing
2024-04-06T17:54:33.245003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
54 1
 
1.0%
78 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
Other values (94) 94
90.4%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
104 1
1.0%
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%

업소명
Text

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size964.0 B
2024-04-06T17:54:33.744427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length5.6923077
Min length1

Characters and Unicode

Total characters592
Distinct characters175
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

Unique99 ?
Unique (%)95.2%

Sample

1st row동아장여관
2nd row경기여관
3rd row서래장여관
4th row현대여관
5th row천마산모텔
ValueCountFrequency (%)
호텔 4
 
3.3%
시즌파이브 3
 
2.5%
주)아인티오펜션 2
 
1.7%
썸 1
 
0.8%
마리호텔 1
 
0.8%
피노키오 1
 
0.8%
블루문 1
 
0.8%
썬 1
 
0.8%
그램모텔 1
 
0.8%
다바크 1
 
0.8%
Other values (104) 104
86.7%
2024-04-06T17:54:34.715616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 54
 
9.1%
호 33
 
5.6%
이 23
 
3.9%
모 22
 
3.7%
관 19
 
3.2%
여 16
 
2.7%
16
 
2.7%
스 14
 
2.4%
장 11
 
1.9%
인 10
 
1.7%
Other values (165) 374
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 523
88.3%
Uppercase Letter 26
 
4.4%
Space Separator 16
 
2.7%
Open Punctuation 9
 
1.5%
Close Punctuation 9
 
1.5%
Decimal Number 8
 
1.4%
Lowercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 54
 
10.3%
호 33
 
6.3%
이 23
 
4.4%
모 22
 
4.2%
관 19
 
3.6%
여 16
 
3.1%
스 14
 
2.7%
장 11
 
2.1%
인 10
 
1.9%
아 9
 
1.7%
Other values (142) 312
59.7%
Uppercase Letter
ValueCountFrequency (%)
L 3
11.5%
I 3
11.5%
H 3
11.5%
E 3
11.5%
A 3
11.5%
T 2
7.7%
V 2
7.7%
G 1
 
3.8%
C 1
 
3.8%
Y 1
 
3.8%
Other values (4) 4
15.4%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
5 2
25.0%
9 1
 
12.5%
6 1
 
12.5%
8 1
 
12.5%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 523
88.3%
Common 42
 
7.1%
Latin 27
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 54
 
10.3%
호 33
 
6.3%
이 23
 
4.4%
모 22
 
4.2%
관 19
 
3.6%
여 16
 
3.1%
스 14
 
2.7%
장 11
 
2.1%
인 10
 
1.9%
아 9
 
1.7%
Other values (142) 312
59.7%
Latin
ValueCountFrequency (%)
L 3
11.1%
I 3
11.1%
H 3
11.1%
E 3
11.1%
A 3
11.1%
T 2
 
7.4%
V 2
 
7.4%
G 1
 
3.7%
C 1
 
3.7%
Y 1
 
3.7%
Other values (5) 5
18.5%
Common
ValueCountFrequency (%)
16
38.1%
( 9
21.4%
) 9
21.4%
2 3
 
7.1%
5 2
 
4.8%
9 1
 
2.4%
6 1
 
2.4%
8 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 523
88.3%
ASCII 69
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 54
 
10.3%
호 33
 
6.3%
이 23
 
4.4%
모 22
 
4.2%
관 19
 
3.6%
여 16
 
3.1%
스 14
 
2.7%
장 11
 
2.1%
인 10
 
1.9%
아 9
 
1.7%
Other values (142) 312
59.7%
ASCII
ValueCountFrequency (%)
16
23.2%
( 9
13.0%
) 9
13.0%
L 3
 
4.3%
I 3
 
4.3%
H 3
 
4.3%
E 3
 
4.3%
A 3
 
4.3%
2 3
 
4.3%
5 2
 
2.9%
Other values (13) 15
21.7%

업소소재지(도로명)
Text

MISSING 

Distinct97
Distinct (%)100.0%
Missing7
Missing (%)6.7%
Memory size964.0 B
2024-04-06T17:54:35.181225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length40
Mean length27.381443
Min length18

Characters and Unicode

Total characters2656
Distinct characters137
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

Unique97 ?
Unique (%)100.0%

Sample

1st row경기도 남양주시 퇴계원읍 경춘북로 570-1
2nd row경기도 남양주시 불암로81번길 24-3 (별내동)
3rd row경기도 남양주시 금곡로 29-1 (금곡동)
4th row경기도 남양주시 화도읍 마석중앙로 67-6
5th row경기도 남양주시 화도읍 마석중앙로 75
ValueCountFrequency (%)
경기도 97
 
17.5%
남양주시 97
 
17.5%
화도읍 22
 
4.0%
별내면 13
 
2.4%
진접읍 12
 
2.2%
수동면 12
 
2.2%
북한강로 10
 
1.8%
와부읍 7
 
1.3%
모꼬지로 7
 
1.3%
다산동 6
 
1.1%
Other values (195) 270
48.8%
2024-04-06T17:54:35.842307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
456
 
17.2%
도 119
 
4.5%
1 117
 
4.4%
경 111
 
4.2%
주 106
 
4.0%
남 105
 
4.0%
로 98
 
3.7%
양 97
 
3.7%
시 97
 
3.7%
기 97
 
3.7%
Other values (127) 1253
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1544
58.1%
Decimal Number 498
 
18.8%
Space Separator 456
 
17.2%
Other Punctuation 54
 
2.0%
Dash Punctuation 37
 
1.4%
Open Punctuation 25
 
0.9%
Close Punctuation 25
 
0.9%
Math Symbol 14
 
0.5%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 119
 
7.7%
경 111
 
7.2%
주 106
 
6.9%
남 105
 
6.8%
로 98
 
6.3%
양 97
 
6.3%
시 97
 
6.3%
기 97
 
6.3%
읍 53
 
3.4%
동 43
 
2.8%
Other values (108) 618
40.0%
Decimal Number
ValueCountFrequency (%)
1 117
23.5%
2 75
15.1%
0 47
9.4%
7 43
 
8.6%
4 38
 
7.6%
3 38
 
7.6%
9 37
 
7.4%
8 37
 
7.4%
6 35
 
7.0%
5 31
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
C 1
33.3%
H 1
33.3%
Space Separator
ValueCountFrequency (%)
456
100.0%
Other Punctuation
ValueCountFrequency (%)
, 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1544
58.1%
Common 1109
41.8%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 119
 
7.7%
경 111
 
7.2%
주 106
 
6.9%
남 105
 
6.8%
로 98
 
6.3%
양 97
 
6.3%
시 97
 
6.3%
기 97
 
6.3%
읍 53
 
3.4%
동 43
 
2.8%
Other values (108) 618
40.0%
Common
ValueCountFrequency (%)
456
41.1%
1 117
 
10.6%
2 75
 
6.8%
, 54
 
4.9%
0 47
 
4.2%
7 43
 
3.9%
4 38
 
3.4%
3 38
 
3.4%
9 37
 
3.3%
8 37
 
3.3%
Other values (6) 167
 
15.1%
Latin
ValueCountFrequency (%)
A 1
33.3%
C 1
33.3%
H 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1544
58.1%
ASCII 1112
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
456
41.0%
1 117
 
10.5%
2 75
 
6.7%
, 54
 
4.9%
0 47
 
4.2%
7 43
 
3.9%
4 38
 
3.4%
3 38
 
3.4%
9 37
 
3.3%
8 37
 
3.3%
Other values (9) 170
 
15.3%
Hangul
ValueCountFrequency (%)
도 119
 
7.7%
경 111
 
7.2%
주 106
 
6.9%
남 105
 
6.8%
로 98
 
6.3%
양 97
 
6.3%
시 97
 
6.3%
기 97
 
6.3%
읍 53
 
3.4%
동 43
 
2.8%
Other values (108) 618
40.0%

업소소재지(지번)
Text

UNIQUE 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
2024-04-06T17:54:36.344780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length25.701923
Min length17

Characters and Unicode

Total characters2673
Distinct characters113
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

Unique104 ?
Unique (%)100.0%

Sample

1st row경기도 남양주시 퇴계원읍 퇴계원리 199-9
2nd row경기도 남양주시 별내동 695-5 외1필지
3rd row경기도 남양주시 금곡동 404-11
4th row경기도 남양주시 화도읍 마석우리 292-22
5th row경기도 남양주시 화도읍 마석우리 292-4
ValueCountFrequency (%)
경기도 104
 
18.1%
남양주시 104
 
18.1%
화도읍 23
 
4.0%
진접읍 14
 
2.4%
수동면 13
 
2.3%
청학리 13
 
2.3%
별내면 13
 
2.3%
금남리 9
 
1.6%
송천리 8
 
1.4%
다산동 7
 
1.2%
Other values (181) 268
46.5%
2024-04-06T17:54:37.224200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
579
21.7%
도 130
 
4.9%
남 122
 
4.6%
1 116
 
4.3%
주 113
 
4.2%
경 104
 
3.9%
양 104
 
3.9%
시 104
 
3.9%
기 104
 
3.9%
리 86
 
3.2%
Other values (103) 1111
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1460
54.6%
Space Separator 579
 
21.7%
Decimal Number 509
 
19.0%
Dash Punctuation 86
 
3.2%
Other Punctuation 26
 
1.0%
Math Symbol 10
 
0.4%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 130
 
8.9%
남 122
 
8.4%
주 113
 
7.7%
경 104
 
7.1%
양 104
 
7.1%
시 104
 
7.1%
기 104
 
7.1%
리 86
 
5.9%
읍 57
 
3.9%
동 45
 
3.1%
Other values (86) 491
33.6%
Decimal Number
ValueCountFrequency (%)
1 116
22.8%
2 79
15.5%
4 55
10.8%
3 41
 
8.1%
6 41
 
8.1%
7 40
 
7.9%
8 39
 
7.7%
0 35
 
6.9%
5 35
 
6.9%
9 28
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
H 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
579
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1460
54.6%
Common 1210
45.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 130
 
8.9%
남 122
 
8.4%
주 113
 
7.7%
경 104
 
7.1%
양 104
 
7.1%
시 104
 
7.1%
기 104
 
7.1%
리 86
 
5.9%
읍 57
 
3.9%
동 45
 
3.1%
Other values (86) 491
33.6%
Common
ValueCountFrequency (%)
579
47.9%
1 116
 
9.6%
- 86
 
7.1%
2 79
 
6.5%
4 55
 
4.5%
3 41
 
3.4%
6 41
 
3.4%
7 40
 
3.3%
8 39
 
3.2%
0 35
 
2.9%
Other values (4) 99
 
8.2%
Latin
ValueCountFrequency (%)
A 1
33.3%
H 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1460
54.6%
ASCII 1213
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
579
47.7%
1 116
 
9.6%
- 86
 
7.1%
2 79
 
6.5%
4 55
 
4.5%
3 41
 
3.4%
6 41
 
3.4%
7 40
 
3.3%
8 39
 
3.2%
0 35
 
2.9%
Other values (7) 102
 
8.4%
Hangul
ValueCountFrequency (%)
도 130
 
8.9%
남 122
 
8.4%
주 113
 
7.7%
경 104
 
7.1%
양 104
 
7.1%
시 104
 
7.1%
기 104
 
7.1%
리 86
 
5.9%
읍 57
 
3.9%
동 45
 
3.1%
Other values (86) 491
33.6%

전화번호
Text

MISSING 

Distinct75
Distinct (%)97.4%
Missing27
Missing (%)26.0%
Memory size964.0 B
2024-04-06T17:54:37.683660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters924
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

Unique73 ?
Unique (%)94.8%

Sample

1st row031-572-9854
2nd row031-528-1513
3rd row031-591-3917
4th row031-593-9005
5th row031-594-0301
ValueCountFrequency (%)
031-571-6230 2
 
2.6%
031-591-4020 2
 
2.6%
031-592-0335 1
 
1.3%
031-575-5195 1
 
1.3%
031-847-2326 1
 
1.3%
031-573-3377 1
 
1.3%
031-574-6102 1
 
1.3%
031-592-4294 1
 
1.3%
031-841-8571 1
 
1.3%
031-841-9588 1
 
1.3%
Other values (65) 65
84.4%
2024-04-06T17:54:38.424799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 154
16.7%
1 138
14.9%
3 126
13.6%
0 122
13.2%
5 98
10.6%
2 59
 
6.4%
7 57
 
6.2%
9 56
 
6.1%
4 43
 
4.7%
8 40
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 770
83.3%
Dash Punctuation 154
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 138
17.9%
3 126
16.4%
0 122
15.8%
5 98
12.7%
2 59
7.7%
7 57
7.4%
9 56
7.3%
4 43
 
5.6%
8 40
 
5.2%
6 31
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 924
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 154
16.7%
1 138
14.9%
3 126
13.6%
0 122
13.2%
5 98
10.6%
2 59
 
6.4%
7 57
 
6.2%
9 56
 
6.1%
4 43
 
4.7%
8 40
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 154
16.7%
1 138
14.9%
3 126
13.6%
0 122
13.2%
5 98
10.6%
2 59
 
6.4%
7 57
 
6.2%
9 56
 
6.1%
4 43
 
4.7%
8 40
 
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size964.0 B
2024-03-28
104 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-28
2nd row2024-03-28
3rd row2024-03-28
4th row2024-03-28
5th row2024-03-28

Common Values

ValueCountFrequency (%)
2024-03-28 104
100.0%

Length

2024-04-06T17:54:38.696613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:54:38.887339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-28 104
100.0%

Interactions

2024-04-06T17:54:32.058244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:54:39.022294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소소재지(도로명)전화번호
연번1.0001.0000.977
업소소재지(도로명)1.0001.0001.000
전화번호0.9771.0001.000

Missing values

2024-04-06T17:54:32.316199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:54:32.484347image/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.
2024-04-06T17:54:32.655567image/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

연번업소명업소소재지(도로명)업소소재지(지번)전화번호데이터기준일자
01동아장여관경기도 남양주시 퇴계원읍 경춘북로 570-1경기도 남양주시 퇴계원읍 퇴계원리 199-9031-572-98542024-03-28
12경기여관경기도 남양주시 불암로81번길 24-3 (별내동)경기도 남양주시 별내동 695-5 외1필지031-528-15132024-03-28
23서래장여관경기도 남양주시 금곡로 29-1 (금곡동)경기도 남양주시 금곡동 404-11031-591-39172024-03-28
34현대여관경기도 남양주시 화도읍 마석중앙로 67-6경기도 남양주시 화도읍 마석우리 292-22031-593-90052024-03-28
45천마산모텔경기도 남양주시 화도읍 마석중앙로 75경기도 남양주시 화도읍 마석우리 292-4031-594-03012024-03-28
56에이스여관경기도 남양주시 진접읍 장현천로24번길 5경기도 남양주시 진접읍 장현리 351-26031-572-34532024-03-28
67광산장여관경기도 남양주시 진접읍 광릉내로 82경기도 남양주시 진접읍 팔야리 781-1031-527-70792024-03-28
78송죽여관<NA>경기도 남양주시 다산동 4114-29031-563-32362024-03-28
89가이아<NA>경기도 남양주시 진접읍 장현리 348031-572-53532024-03-28
910로얄장모텔경기도 남양주시 미금로56번길 3 (다산동)경기도 남양주시 다산동 4338-31<NA>2024-03-28
연번업소명업소소재지(도로명)업소소재지(지번)전화번호데이터기준일자
9495산그린펜션경기도 남양주시 수동면 모꼬지로 218, 1~4층경기도 남양주시 수동면 송천리 5-1 1~4층<NA>2024-03-28
9596시즌파이브경기도 남양주시 오남읍 팔현로207번길 104, 주1,2동 1층경기도 남양주시 오남읍 팔현리 377-6 1층 주1,2동<NA>2024-03-28
9697파크호텔경기도 남양주시 다산중앙로123번길 11, 다산휴먼파크 7층 일부, 8층 일부, 9층, 10층 일부 (다산동)경기도 남양주시 다산동 6086-1 다산휴먼파크 7층 일부, 8층 일부, 9층, 10층 일부<NA>2024-03-28
9798모모268경기도 남양주시 수동면 모꼬지로 268, 1층일부,2층전체경기도 남양주시 수동면 송천리 11-51 1층일부,2층전체<NA>2024-03-28
9899클로버펜션경기도 남양주시 수동면 철마산로 108-8, 주1~주2동 1층경기도 남양주시 수동면 수산리 산 14 1층 주1~주2<NA>2024-03-28
99100하이브 빌리지(HIVE VILLAGE)경기도 남양주시 수동면 모꼬지로 198-90경기도 남양주시 수동면 송천리 3-18<NA>2024-03-28
100101힐링캠프 펜션경기도 남양주시 수동면 모꼬지로 204, 주1동 1층, 주2동 1층,2층경기도 남양주시 수동면 송천리 5-24 주1동 1층, 주2동 1층, 2층<NA>2024-03-28
101102하이디 하우스경기도 남양주시 수동면 축령산로 284, 주1동 1층 일부, 2층, 옥탑경기도 남양주시 수동면 외방리 272-8 주1동 1층 일부, 2층, 옥탑<NA>2024-03-28
102103착한책방 스테이경기도 남양주시 수동면 비룡로782번길 43-163, 주1동 1층 일부경기도 남양주시 수동면 입석리 445-4 주1동 1층 일부<NA>2024-03-28
103104오래뜰경기도 남양주시 수동면 모꼬지로 198-82경기도 남양주시 수동면 송천리 3-16 1, 2, 3, 4층<NA>2024-03-28