Overview

Dataset statistics

Number of variables9
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory77.5 B

Variable types

Text4
Boolean1
Numeric2
Categorical2

Dataset

Description양평군 아파트에 대한 데이터로 아파트명, 의무관리 여부, 도로명주소, 동수, 층수, 세대수, 관리형태 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3040439/fileData.do

Alerts

기준일 has constant value ""Constant
동수 is highly overall correlated with 세대수 and 1 other fieldsHigh correlation
세대수 is highly overall correlated with 동수 and 1 other fieldsHigh correlation
의무관리(Y_N) is highly overall correlated with 동수 and 1 other fieldsHigh correlation
아파트명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:11:41.386800
Analysis finished2023-12-12 22:11:42.899206
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아파트명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T07:11:43.071213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length7.2631579
Min length4

Characters and Unicode

Total characters276
Distinct characters89
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

Unique38 ?
Unique (%)100.0%

Sample

1st row훼미리아파트
2nd row그린1차아파트
3rd row금광1차아파트
4th row용문그린아파트
5th row그린2차아파트
ValueCountFrequency (%)
양수리 2
 
4.8%
훼미리아파트 1
 
2.4%
코아루 1
 
2.4%
현대성우아파트2단지 1
 
2.4%
현대성우아파트3단지 1
 
2.4%
벽산블루밍아파트1단지 1
 
2.4%
벽산블루밍아파트2단지 1
 
2.4%
현대성우오스타코아루 1
 
2.4%
스카이아파트 1
 
2.4%
대은팰리스뷰 1
 
2.4%
Other values (31) 31
73.8%
2023-12-13T07:11:43.479900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 29
 
10.5%
파 29
 
10.5%
트 26
 
9.4%
리 9
 
3.3%
지 7
 
2.5%
단 7
 
2.5%
스 7
 
2.5%
2 6
 
2.2%
대 6
 
2.2%
루 5
 
1.8%
Other values (79) 145
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 260
94.2%
Decimal Number 12
 
4.3%
Space Separator 4
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 29
 
11.2%
파 29
 
11.2%
트 26
 
10.0%
리 9
 
3.5%
지 7
 
2.7%
단 7
 
2.7%
스 7
 
2.7%
대 6
 
2.3%
루 5
 
1.9%
차 5
 
1.9%
Other values (75) 130
50.0%
Decimal Number
ValueCountFrequency (%)
2 6
50.0%
1 5
41.7%
3 1
 
8.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 260
94.2%
Common 16
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 29
 
11.2%
파 29
 
11.2%
트 26
 
10.0%
리 9
 
3.5%
지 7
 
2.7%
단 7
 
2.7%
스 7
 
2.7%
대 6
 
2.3%
루 5
 
1.9%
차 5
 
1.9%
Other values (75) 130
50.0%
Common
ValueCountFrequency (%)
2 6
37.5%
1 5
31.2%
4
25.0%
3 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 260
94.2%
ASCII 16
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 29
 
11.2%
파 29
 
11.2%
트 26
 
10.0%
리 9
 
3.5%
지 7
 
2.7%
단 7
 
2.7%
스 7
 
2.7%
대 6
 
2.3%
루 5
 
1.9%
차 5
 
1.9%
Other values (75) 130
50.0%
ASCII
ValueCountFrequency (%)
2 6
37.5%
1 5
31.2%
4
25.0%
3 1
 
6.2%

의무관리(Y_N)
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size170.0 B
True
20 
False
18 
ValueCountFrequency (%)
True 20
52.6%
False 18
47.4%
2023-12-13T07:11:43.609283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

도로명주소
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T07:11:43.819302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length20.447368
Min length17

Characters and Unicode

Total characters777
Distinct characters59
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row경기도 양평군 양서면 양수로152번길 16
2nd row경기도 양평군 양평읍 중앙로 14
3rd row경기도 양평군 양평읍 관문길18번길 16
4th row경기도 양평군 용문면 다문북길 47
5th row경기도 양평군 양평읍 중앙로 12
ValueCountFrequency (%)
경기도 35
18.8%
양평군 35
18.8%
양평읍 22
 
11.8%
양서면 7
 
3.8%
관문길18번길 5
 
2.7%
강상면 4
 
2.2%
용문면 4
 
2.2%
강남로 4
 
2.2%
중앙로167번길 3
 
1.6%
16 3
 
1.6%
Other values (57) 64
34.4%
2023-12-13T07:11:44.200642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
19.0%
양 74
 
9.5%
평 57
 
7.3%
군 37
 
4.8%
경 35
 
4.5%
기 35
 
4.5%
도 35
 
4.5%
1 34
 
4.4%
길 28
 
3.6%
읍 22
 
2.8%
Other values (49) 272
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 486
62.5%
Space Separator 148
 
19.0%
Decimal Number 137
 
17.6%
Dash Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 74
15.2%
평 57
11.7%
군 37
 
7.6%
경 35
 
7.2%
기 35
 
7.2%
도 35
 
7.2%
길 28
 
5.8%
읍 22
 
4.5%
로 22
 
4.5%
번 17
 
3.5%
Other values (37) 124
25.5%
Decimal Number
ValueCountFrequency (%)
1 34
24.8%
2 19
13.9%
8 17
12.4%
6 15
10.9%
5 14
10.2%
7 12
 
8.8%
9 7
 
5.1%
0 7
 
5.1%
3 6
 
4.4%
4 6
 
4.4%
Space Separator
ValueCountFrequency (%)
148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 486
62.5%
Common 291
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 74
15.2%
평 57
11.7%
군 37
 
7.6%
경 35
 
7.2%
기 35
 
7.2%
도 35
 
7.2%
길 28
 
5.8%
읍 22
 
4.5%
로 22
 
4.5%
번 17
 
3.5%
Other values (37) 124
25.5%
Common
ValueCountFrequency (%)
148
50.9%
1 34
 
11.7%
2 19
 
6.5%
8 17
 
5.8%
6 15
 
5.2%
5 14
 
4.8%
7 12
 
4.1%
9 7
 
2.4%
0 7
 
2.4%
- 6
 
2.1%
Other values (2) 12
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 486
62.5%
ASCII 291
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148
50.9%
1 34
 
11.7%
2 19
 
6.5%
8 17
 
5.8%
6 15
 
5.2%
5 14
 
4.8%
7 12
 
4.1%
9 7
 
2.4%
0 7
 
2.4%
- 6
 
2.1%
Other values (2) 12
 
4.1%
Hangul
ValueCountFrequency (%)
양 74
15.2%
평 57
11.7%
군 37
 
7.6%
경 35
 
7.2%
기 35
 
7.2%
도 35
 
7.2%
길 28
 
5.8%
읍 22
 
4.5%
로 22
 
4.5%
번 17
 
3.5%
Other values (37) 124
25.5%

동수
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1842105
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-13T07:11:44.321402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.3116072
Coefficient of variation (CV)0.72595928
Kurtosis-1.0763441
Mean3.1842105
Median Absolute Deviation (MAD)1
Skewness0.59472588
Sum121
Variance5.3435277
MonotonicityNot monotonic
2023-12-13T07:11:44.435148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 15
39.5%
4 6
 
15.8%
2 5
 
13.2%
7 4
 
10.5%
6 3
 
7.9%
5 3
 
7.9%
3 1
 
2.6%
8 1
 
2.6%
ValueCountFrequency (%)
1 15
39.5%
2 5
 
13.2%
3 1
 
2.6%
4 6
 
15.8%
5 3
 
7.9%
6 3
 
7.9%
7 4
 
10.5%
8 1
 
2.6%
ValueCountFrequency (%)
8 1
 
2.6%
7 4
 
10.5%
6 3
 
7.9%
5 3
 
7.9%
4 6
 
15.8%
3 1
 
2.6%
2 5
 
13.2%
1 15
39.5%

층수
Text

Distinct21
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T07:11:44.673361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.3157895
Min length4

Characters and Unicode

Total characters354
Distinct characters15
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

Unique12 ?
Unique (%)31.6%

Sample

1st row지상5층
2nd row지상13층_지상15층
3rd row지하1층_지상15층
4th row지상15층
5th row지하1층_지상15층
ValueCountFrequency (%)
지하1층_지상15층 9
23.7%
지하1층_지상12층 3
 
7.9%
지상15층 2
 
5.3%
지하1층_지상21층 2
 
5.3%
지하1층_지상20층 2
 
5.3%
지하1층_지상14층 2
 
5.3%
지하1층_지상19층 2
 
5.3%
지하2층_지상15층 2
 
5.3%
지하2층_지상18층 2
 
5.3%
지상5층 1
 
2.6%
Other values (11) 11
28.9%
2023-12-13T07:11:44.979362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 71
20.1%
층 71
20.1%
1 54
15.3%
상 39
11.0%
_ 33
9.3%
하 32
9.0%
2 19
 
5.4%
5 17
 
4.8%
0 4
 
1.1%
4 3
 
0.8%
Other values (5) 11
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 213
60.2%
Decimal Number 108
30.5%
Connector Punctuation 33
 
9.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 54
50.0%
2 19
 
17.6%
5 17
 
15.7%
0 4
 
3.7%
4 3
 
2.8%
9 3
 
2.8%
8 3
 
2.8%
3 3
 
2.8%
7 1
 
0.9%
6 1
 
0.9%
Other Letter
ValueCountFrequency (%)
지 71
33.3%
층 71
33.3%
상 39
18.3%
하 32
15.0%
Connector Punctuation
ValueCountFrequency (%)
_ 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213
60.2%
Common 141
39.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 54
38.3%
_ 33
23.4%
2 19
 
13.5%
5 17
 
12.1%
0 4
 
2.8%
4 3
 
2.1%
9 3
 
2.1%
8 3
 
2.1%
3 3
 
2.1%
7 1
 
0.7%
Hangul
ValueCountFrequency (%)
지 71
33.3%
층 71
33.3%
상 39
18.3%
하 32
15.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 213
60.2%
ASCII 141
39.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 71
33.3%
층 71
33.3%
상 39
18.3%
하 32
15.0%
ASCII
ValueCountFrequency (%)
1 54
38.3%
_ 33
23.4%
2 19
 
13.5%
5 17
 
12.1%
0 4
 
2.8%
4 3
 
2.1%
9 3
 
2.1%
8 3
 
2.1%
3 3
 
2.1%
7 1
 
0.7%

세대수
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207.21053
Minimum29
Maximum490
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-13T07:11:45.102214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile40.85
Q166.75
median168
Q3294.25
95-th percentile487
Maximum490
Range461
Interquartile range (IQR)227.5

Descriptive statistics

Standard deviation152.94764
Coefficient of variation (CV)0.7381268
Kurtosis-0.8740462
Mean207.21053
Median Absolute Deviation (MAD)113.5
Skewness0.65532085
Sum7874
Variance23392.982
MonotonicityNot monotonic
2023-12-13T07:11:45.232274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
168 3
 
7.9%
120 3
 
7.9%
487 2
 
5.3%
49 2
 
5.3%
441 1
 
2.6%
197 1
 
2.6%
41 1
 
2.6%
350 1
 
2.6%
280 1
 
2.6%
114 1
 
2.6%
Other values (22) 22
57.9%
ValueCountFrequency (%)
29 1
2.6%
40 1
2.6%
41 1
2.6%
42 1
2.6%
49 2
5.3%
50 1
2.6%
52 1
2.6%
53 1
2.6%
64 1
2.6%
75 1
2.6%
ValueCountFrequency (%)
490 1
2.6%
487 2
5.3%
486 1
2.6%
441 1
2.6%
438 1
2.6%
420 1
2.6%
358 1
2.6%
350 1
2.6%
299 1
2.6%
280 1
2.6%

관리형태
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
자치관리
18 
위탁관리
14 
데이터미보유
6 

Length

Max length6
Median length4
Mean length4.3157895
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자치관리 18
47.4%
위탁관리 14
36.8%
데이터미보유 6
 
15.8%

Length

2023-12-13T07:11:45.382623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:11:45.514976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자치관리 18
47.4%
위탁관리 14
36.8%
데이터미보유 6
 
15.8%

관리사무소 연락처
Text

Distinct31
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T07:11:45.690856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.421053
Min length6

Characters and Unicode

Total characters434
Distinct characters17
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

Unique27 ?
Unique (%)71.1%

Sample

1st row031-771-6882
2nd row031-771-7061
3rd row031-771-7458
4th row031-772-6693
5th row031-772-8512
ValueCountFrequency (%)
데이터미보유 4
 
10.5%
031-775-5130 3
 
7.9%
031-771-5915 2
 
5.3%
031-771-7458 2
 
5.3%
031-774-9961 1
 
2.6%
031-772-2194 1
 
2.6%
031-772-2196 1
 
2.6%
031-773-4975 1
 
2.6%
031-771-8016 1
 
2.6%
031-775-7290 1
 
2.6%
Other values (21) 21
55.3%
2023-12-13T07:11:46.062966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 85
19.6%
- 68
15.7%
1 63
14.5%
0 49
11.3%
3 48
11.1%
5 27
 
6.2%
9 19
 
4.4%
8 15
 
3.5%
2 14
 
3.2%
6 12
 
2.8%
Other values (7) 34
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 342
78.8%
Dash Punctuation 68
 
15.7%
Other Letter 24
 
5.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 85
24.9%
1 63
18.4%
0 49
14.3%
3 48
14.0%
5 27
 
7.9%
9 19
 
5.6%
8 15
 
4.4%
2 14
 
4.1%
6 12
 
3.5%
4 10
 
2.9%
Other Letter
ValueCountFrequency (%)
이 4
16.7%
유 4
16.7%
보 4
16.7%
미 4
16.7%
터 4
16.7%
데 4
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 410
94.5%
Hangul 24
 
5.5%

Most frequent character per script

Common
ValueCountFrequency (%)
7 85
20.7%
- 68
16.6%
1 63
15.4%
0 49
12.0%
3 48
11.7%
5 27
 
6.6%
9 19
 
4.6%
8 15
 
3.7%
2 14
 
3.4%
6 12
 
2.9%
Hangul
ValueCountFrequency (%)
이 4
16.7%
유 4
16.7%
보 4
16.7%
미 4
16.7%
터 4
16.7%
데 4
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 410
94.5%
Hangul 24
 
5.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 85
20.7%
- 68
16.6%
1 63
15.4%
0 49
12.0%
3 48
11.7%
5 27
 
6.6%
9 19
 
4.6%
8 15
 
3.7%
2 14
 
3.4%
6 12
 
2.9%
Hangul
ValueCountFrequency (%)
이 4
16.7%
유 4
16.7%
보 4
16.7%
미 4
16.7%
터 4
16.7%
데 4
16.7%

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-06-20
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-20
2nd row2023-06-20
3rd row2023-06-20
4th row2023-06-20
5th row2023-06-20

Common Values

ValueCountFrequency (%)
2023-06-20 38
100.0%

Length

2023-12-13T07:11:46.234879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:11:46.374631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-20 38
100.0%

Interactions

2023-12-13T07:11:41.931056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:41.740170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:42.062447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:11:41.835184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:11:46.452597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아파트명의무관리(Y_N)도로명주소동수층수세대수관리형태관리사무소 연락처
아파트명1.0001.0001.0001.0001.0001.0001.0001.000
의무관리(Y_N)1.0001.0001.0000.8900.5311.0000.2161.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
동수1.0000.8901.0001.0000.0000.6360.1820.991
층수1.0000.5311.0000.0001.0000.0000.6010.909
세대수1.0001.0001.0000.6360.0001.0000.5720.987
관리형태1.0000.2161.0000.1820.6010.5721.0000.918
관리사무소 연락처1.0001.0001.0000.9910.9090.9870.9181.000
2023-12-13T07:11:46.597162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의무관리(Y_N)관리형태
의무관리(Y_N)1.0000.346
관리형태0.3461.000
2023-12-13T07:11:46.715787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동수세대수의무관리(Y_N)관리형태
동수1.0000.8330.6520.080
세대수0.8331.0000.8820.364
의무관리(Y_N)0.6520.8821.0000.346
관리형태0.0800.3640.3461.000

Missing values

2023-12-13T07:11:42.547835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:11:42.818727image/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

아파트명의무관리(Y_N)도로명주소동수층수세대수관리형태관리사무소 연락처기준일
0훼미리아파트N경기도 양평군 양서면 양수로152번길 162지상5층114자치관리031-771-68822023-06-20
1그린1차아파트Y경기도 양평군 양평읍 중앙로 142지상13층_지상15층220자치관리031-771-70612023-06-20
2금광1차아파트N경기도 양평군 양평읍 관문길18번길 161지하1층_지상15층135자치관리031-771-74582023-06-20
3용문그린아파트N경기도 양평군 용문면 다문북길 471지상15층120자치관리031-772-66932023-06-20
4그린2차아파트Y경기도 양평군 양평읍 중앙로 121지하1층_지상15층252자치관리031-772-85122023-06-20
5현대아파트Y경기도 양평군 양평읍 관문길 604지하1층_지상21층358자치관리031-773-46632023-06-20
6금광2차아파트N경기도 양평군 양평읍 관문길18번길 101지상13층120자치관리031-771-74582023-06-20
7삼익아파트Y경기도 양평군 양서면 두물머리길8번길 26-36지하1층_지상17층299자치관리031-774-03532023-06-20
8행복마을아파트Y경기도 양평군 양평읍 남북로 55-85지하1층_지상15층490자치관리031-775-08832023-06-20
9심미에셈빌아파트N경기도 양평군 용문면 연수로 71지하1층_지상20층108위탁관리031-773-56472023-06-20
아파트명의무관리(Y_N)도로명주소동수층수세대수관리형태관리사무소 연락처기준일
28한신휴플러스Y경기도 양평군 양평읍 중앙로167번길 85지하2층_지상18층350위탁관리031-773-71712023-06-20
29용문 코아루Y경기도 양평군 용문면 다문북길 574지하1층_지상19층280위탁관리031-775-72902023-06-20
30휴먼빌2차Y경기도 양평군 강상면 강남로 9227지하1층_지상20층487위탁관리031-775-71152023-06-20
31더블유캐슬N경기도 양평군 양서면 양수로172번길 11-41지상10층49데이터미보유데이터미보유2023-06-20
32에델바움N경기도 양평군 양서면 목왕로 251지상15층52데이터미보유데이터미보유2023-06-20
33더 리버파크N경기도 양평군 양서면 양수로456번길 191지하1층_지상19층64데이터미보유데이터미보유2023-06-20
34센트럴파크써밋아파트Y경기도 양평군 양평읍 양근리7386지하1층_지상26층486위탁관리031-771-70172023-06-20
35한화포레나Y양평읍 창대리 650-12외 12필지7지하2층_지상24층438데이터미보유031-8079-77952023-06-20
36리버파크어반Y양평읍 창대리 529외 22필지5지하1층_지상21층420데이터미보유031-775-89402023-06-20
37센트럴시티Y양평읍 양근리 192-61번지 일원4지하2층_지상20층248데이터미보유031-8079-71172023-06-20