Overview

Dataset statistics

Number of variables10
Number of observations25
Missing cells25
Missing cells (%)10.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory88.3 B

Variable types

Text2
Categorical3
Numeric2
Unsupported1
DateTime2

Dataset

Description경기주택도시공사_공공주택사업 진행 현황
Author경기주택도시공사
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=ZFXU1XF5PT67KM7T44JN29362440&infSeq=1

Alerts

사업시행자 has constant value ""Constant
웹페이지주소(URL) has constant value ""Constant
진행현황 is highly imbalanced (75.8%)Imbalance
수용인구 has 25 (100.0%) missing valuesMissing
사업명 has unique valuesUnique
공사위치 has unique valuesUnique
수용세대 has unique valuesUnique
수용인구 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-23 02:59:43.135953
Analysis finished2024-03-23 02:59:52.188710
Duration9.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-23T02:59:52.991477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.16
Min length5

Characters and Unicode

Total characters229
Distinct characters66
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

Unique25 ?
Unique (%)100.0%

Sample

1st row화성동탄2 A-94BL
2nd row화성 동탄2 A86BL
3rd row남양주 다산진건 B3BL
4th row평택 고덕 A9BL
5th row위례 A2-2BL
ValueCountFrequency (%)
남양주 6
 
9.8%
다산진건 5
 
8.2%
용인 3
 
4.9%
화성 2
 
3.3%
광교 2
 
3.3%
김포한강 2
 
3.3%
위례 2
 
3.3%
김포 2
 
3.3%
화성동탄2 1
 
1.6%
시흥 1
 
1.6%
Other values (35) 35
57.4%
2024-03-23T02:59:54.980903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
15.7%
B 20
 
8.7%
L 16
 
7.0%
1 8
 
3.5%
2 8
 
3.5%
7
 
3.1%
7
 
3.1%
6
 
2.6%
6
 
2.6%
6
 
2.6%
Other values (56) 109
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114
49.8%
Uppercase Letter 42
 
18.3%
Space Separator 36
 
15.7%
Decimal Number 30
 
13.1%
Dash Punctuation 5
 
2.2%
Other Punctuation 1
 
0.4%
Math Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
6.1%
7
 
6.1%
6
 
5.3%
6
 
5.3%
6
 
5.3%
5
 
4.4%
5
 
4.4%
5
 
4.4%
4
 
3.5%
4
 
3.5%
Other values (39) 59
51.8%
Decimal Number
ValueCountFrequency (%)
1 8
26.7%
2 8
26.7%
4 3
 
10.0%
5 3
 
10.0%
6 2
 
6.7%
3 2
 
6.7%
9 2
 
6.7%
8 1
 
3.3%
7 1
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 20
47.6%
L 16
38.1%
A 5
 
11.9%
S 1
 
2.4%
Space Separator
ValueCountFrequency (%)
36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114
49.8%
Common 73
31.9%
Latin 42
 
18.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
6.1%
7
 
6.1%
6
 
5.3%
6
 
5.3%
6
 
5.3%
5
 
4.4%
5
 
4.4%
5
 
4.4%
4
 
3.5%
4
 
3.5%
Other values (39) 59
51.8%
Common
ValueCountFrequency (%)
36
49.3%
1 8
 
11.0%
2 8
 
11.0%
- 5
 
6.8%
4 3
 
4.1%
5 3
 
4.1%
6 2
 
2.7%
3 2
 
2.7%
9 2
 
2.7%
8 1
 
1.4%
Other values (3) 3
 
4.1%
Latin
ValueCountFrequency (%)
B 20
47.6%
L 16
38.1%
A 5
 
11.9%
S 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115
50.2%
Hangul 114
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
31.3%
B 20
17.4%
L 16
13.9%
1 8
 
7.0%
2 8
 
7.0%
- 5
 
4.3%
A 5
 
4.3%
4 3
 
2.6%
5 3
 
2.6%
6 2
 
1.7%
Other values (7) 9
 
7.8%
Hangul
ValueCountFrequency (%)
7
 
6.1%
7
 
6.1%
6
 
5.3%
6
 
5.3%
6
 
5.3%
5
 
4.4%
5
 
4.4%
5
 
4.4%
4
 
3.5%
4
 
3.5%
Other values (39) 59
51.8%

진행현황
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
분양완료
24 
공사 중
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row공사 중
2nd row분양완료
3rd row분양완료
4th row분양완료
5th row분양완료

Common Values

ValueCountFrequency (%)
분양완료 24
96.0%
공사 중 1
 
4.0%

Length

2024-03-23T02:59:55.524898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T02:59:56.039849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분양완료 24
92.3%
공사 1
 
3.8%
1
 
3.8%

공사위치
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-03-23T02:59:56.680727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length25.4
Min length19

Characters and Unicode

Total characters635
Distinct characters81
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row경기도 화성시 동탄2신도시 택지개발지구 내 A94BL
2nd row경기도 화성시 동탄2신도시 택지개발지구 내 A86BL
3rd row경기도 남양주시 다산진건 공공택지지구 B3BL
4th row경기도 평택시 고덕국제화계획지구 내 A9BL
5th row경기도 성남시 위례신도시 내 A2-2BL
ValueCountFrequency (%)
경기도 25
17.2%
24
16.6%
택지개발지구 14
 
9.7%
남양주시 6
 
4.1%
다산진건 5
 
3.4%
공공주택지구 4
 
2.8%
김포시 4
 
2.8%
화성시 3
 
2.1%
수원시 3
 
2.1%
용인시 3
 
2.1%
Other values (48) 54
37.2%
2024-03-23T02:59:58.115121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
18.9%
39
 
6.1%
31
 
4.9%
31
 
4.9%
B 29
 
4.6%
26
 
4.1%
L 25
 
3.9%
25
 
3.9%
24
 
3.8%
23
 
3.6%
Other values (71) 262
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 392
61.7%
Space Separator 120
 
18.9%
Uppercase Letter 66
 
10.4%
Decimal Number 45
 
7.1%
Dash Punctuation 8
 
1.3%
Other Punctuation 2
 
0.3%
Lowercase Letter 1
 
0.2%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
39
 
9.9%
31
 
7.9%
31
 
7.9%
26
 
6.6%
25
 
6.4%
24
 
6.1%
23
 
5.9%
20
 
5.1%
14
 
3.6%
14
 
3.6%
Other values (51) 145
37.0%
Decimal Number
ValueCountFrequency (%)
1 11
24.4%
2 9
20.0%
3 6
13.3%
4 6
13.3%
6 3
 
6.7%
9 3
 
6.7%
5 3
 
6.7%
0 2
 
4.4%
8 1
 
2.2%
7 1
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
B 29
43.9%
L 25
37.9%
A 10
 
15.2%
C 1
 
1.5%
S 1
 
1.5%
Space Separator
ValueCountFrequency (%)
120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 392
61.7%
Common 176
27.7%
Latin 67
 
10.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
39
 
9.9%
31
 
7.9%
31
 
7.9%
26
 
6.6%
25
 
6.4%
24
 
6.1%
23
 
5.9%
20
 
5.1%
14
 
3.6%
14
 
3.6%
Other values (51) 145
37.0%
Common
ValueCountFrequency (%)
120
68.2%
1 11
 
6.2%
2 9
 
5.1%
- 8
 
4.5%
3 6
 
3.4%
4 6
 
3.4%
6 3
 
1.7%
9 3
 
1.7%
5 3
 
1.7%
, 2
 
1.1%
Other values (4) 5
 
2.8%
Latin
ValueCountFrequency (%)
B 29
43.3%
L 25
37.3%
A 10
 
14.9%
C 1
 
1.5%
b 1
 
1.5%
S 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 392
61.7%
ASCII 243
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
49.4%
B 29
 
11.9%
L 25
 
10.3%
1 11
 
4.5%
A 10
 
4.1%
2 9
 
3.7%
- 8
 
3.3%
3 6
 
2.5%
4 6
 
2.5%
6 3
 
1.2%
Other values (10) 16
 
6.6%
Hangul
ValueCountFrequency (%)
39
 
9.9%
31
 
7.9%
31
 
7.9%
26
 
6.6%
25
 
6.4%
24
 
6.1%
23
 
5.9%
20
 
5.1%
14
 
3.6%
14
 
3.6%
Other values (51) 145
37.0%

사업시행자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
경기주택도시공사 사장
25 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기주택도시공사 사장
2nd row경기주택도시공사 사장
3rd row경기주택도시공사 사장
4th row경기주택도시공사 사장
5th row경기주택도시공사 사장

Common Values

ValueCountFrequency (%)
경기주택도시공사 사장 25
100.0%

Length

2024-03-23T02:59:58.589053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T02:59:58.857646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기주택도시공사 25
50.0%
사장 25
50.0%

면적(㎡)
Real number (ℝ)

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.88
Minimum59
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-03-23T02:59:59.304954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59
5-th percentile59.2
Q174
median84
Q384
95-th percentile114.8
Maximum125
Range66
Interquartile range (IQR)10

Descriptive statistics

Standard deviation16.099482
Coefficient of variation (CV)0.19425051
Kurtosis1.4716707
Mean82.88
Median Absolute Deviation (MAD)0
Skewness0.83580258
Sum2072
Variance259.19333
MonotonicityNot monotonic
2024-03-23T02:59:59.750438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
84 13
52.0%
74 4
 
16.0%
60 2
 
8.0%
59 2
 
8.0%
125 1
 
4.0%
118 1
 
4.0%
101 1
 
4.0%
102 1
 
4.0%
ValueCountFrequency (%)
59 2
 
8.0%
60 2
 
8.0%
74 4
 
16.0%
84 13
52.0%
101 1
 
4.0%
102 1
 
4.0%
118 1
 
4.0%
125 1
 
4.0%
ValueCountFrequency (%)
125 1
 
4.0%
118 1
 
4.0%
102 1
 
4.0%
101 1
 
4.0%
84 13
52.0%
74 4
 
16.0%
60 2
 
8.0%
59 2
 
8.0%

수용세대
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean923.72
Minimum105
Maximum1764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-03-23T03:00:00.146491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105
5-th percentile226.2
Q1509
median781
Q31289
95-th percentile1671
Maximum1764
Range1659
Interquartile range (IQR)780

Descriptive statistics

Standard deviation488.16318
Coefficient of variation (CV)0.52847528
Kurtosis-1.1195658
Mean923.72
Median Absolute Deviation (MAD)392
Skewness0.11552385
Sum23093
Variance238303.29
MonotonicityNot monotonic
2024-03-23T03:00:00.538435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1227 1
 
4.0%
704 1
 
4.0%
223 1
 
4.0%
559 1
 
4.0%
781 1
 
4.0%
432 1
 
4.0%
1289 1
 
4.0%
105 1
 
4.0%
239 1
 
4.0%
502 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
105 1
4.0%
223 1
4.0%
239 1
4.0%
432 1
4.0%
491 1
4.0%
502 1
4.0%
509 1
4.0%
559 1
4.0%
704 1
4.0%
731 1
4.0%
ValueCountFrequency (%)
1764 1
4.0%
1685 1
4.0%
1615 1
4.0%
1540 1
4.0%
1413 1
4.0%
1382 1
4.0%
1289 1
4.0%
1227 1
4.0%
1186 1
4.0%
1173 1
4.0%

수용인구
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B
Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum1999-07-01 00:00:00
Maximum2021-08-01 00:00:00
2024-03-23T03:00:00.972999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T03:00:01.415683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
Distinct20
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2001-09-01 00:00:00
Maximum2024-06-01 00:00:00
2024-03-23T03:00:01.853274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T03:00:02.279360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

웹페이지주소(URL)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
https://gh.or.kr/gh/house-for-sale.do
25 

Length

Max length37
Median length37
Mean length37
Min length37

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttps://gh.or.kr/gh/house-for-sale.do
2nd rowhttps://gh.or.kr/gh/house-for-sale.do
3rd rowhttps://gh.or.kr/gh/house-for-sale.do
4th rowhttps://gh.or.kr/gh/house-for-sale.do
5th rowhttps://gh.or.kr/gh/house-for-sale.do

Common Values

ValueCountFrequency (%)
https://gh.or.kr/gh/house-for-sale.do 25
100.0%

Length

2024-03-23T03:00:02.918227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T03:00:03.361658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
https://gh.or.kr/gh/house-for-sale.do 25
100.0%

Interactions

2024-03-23T02:59:50.085089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T02:59:49.147356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T02:59:50.485880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T02:59:49.691014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T03:00:03.697875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업명진행현황공사위치면적(㎡)수용세대사업시작(예정)년월사업종료(예정)년월
사업명1.0001.0001.0001.0001.0001.0001.000
진행현황1.0001.0001.0000.0000.0001.0001.000
공사위치1.0001.0001.0001.0001.0001.0001.000
면적(㎡)1.0000.0001.0001.0000.3780.7490.872
수용세대1.0000.0001.0000.3781.0000.7920.940
사업시작(예정)년월1.0001.0001.0000.7490.7921.0000.939
사업종료(예정)년월1.0001.0001.0000.8720.9400.9391.000
2024-03-23T03:00:04.301312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(㎡)수용세대진행현황
면적(㎡)1.000-0.4800.000
수용세대-0.4801.0000.000
진행현황0.0000.0001.000

Missing values

2024-03-23T02:59:50.908276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T02:59:51.529456image/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

사업명진행현황공사위치사업시행자면적(㎡)수용세대수용인구사업시작(예정)년월사업종료(예정)년월웹페이지주소(URL)
0화성동탄2 A-94BL공사 중경기도 화성시 동탄2신도시 택지개발지구 내 A94BL경기주택도시공사 사장841227<NA>2021-082024-06https://gh.or.kr/gh/house-for-sale.do
1화성 동탄2 A86BL분양완료경기도 화성시 동탄2신도시 택지개발지구 내 A86BL경기주택도시공사 사장84704<NA>2017-112020-06https://gh.or.kr/gh/house-for-sale.do
2남양주 다산진건 B3BL분양완료경기도 남양주시 다산진건 공공택지지구 B3BL경기주택도시공사 사장74878<NA>2015-122021-08https://gh.or.kr/gh/house-for-sale.do
3평택 고덕 A9BL분양완료경기도 평택시 고덕국제화계획지구 내 A9BL경기주택도시공사 사장84755<NA>2015-092019-07https://gh.or.kr/gh/house-for-sale.do
4위례 A2-2BL분양완료경기도 성남시 위례신도시 내 A2-2BL경기주택도시공사 사장601413<NA>2011-122017-06https://gh.or.kr/gh/house-for-sale.do
5위례 A2-11BL분양완료경기도 위례신도시 내 A2-11BL경기주택도시공사 사장601540<NA>2011-122016-06https://gh.or.kr/gh/house-for-sale.do
6남양주 다산진건 B5BL분양완료경기도 남양주시 다산진건 공공주택지구 내 B5BL경기주택도시공사 사장74491<NA>2010-122019-07https://gh.or.kr/gh/house-for-sale.do
7남양주 다산진건 S1BL분양완료경기도 남양주시 다산진건 공공주택지구 내 S1BL경기주택도시공사 사장591685<NA>2010-122018-06https://gh.or.kr/gh/house-for-sale.do
8남양주 다산진건 B2BL분양완료경기도 남양주시 다산진건 공공주택지구 내 B2BL경기주택도시공사 사장741186<NA>2010-122017-12https://gh.or.kr/gh/house-for-sale.do
9남양주 다산진건 B4BL분양완료경기도 남양주시 다산진건 공공주택지구 내 B4BL경기주택도시공사 사장741615<NA>2010-122017-12https://gh.or.kr/gh/house-for-sale.do
사업명진행현황공사위치사업시행자면적(㎡)수용세대수용인구사업시작(예정)년월사업종료(예정)년월웹페이지주소(URL)
15파주 당동 5-2,6BL분양완료경기도 파주시 문산첨단산업단지 당동지구 내 5-2, 6BL경기주택도시공사 사장84731<NA>2007-122010-12https://gh.or.kr/gh/house-for-sale.do
16남양주 진접분양완료경기도 남양주시 진접 택지개발지구 내 3BL경기주택도시공사 사장84509<NA>2007-022009-11https://gh.or.kr/gh/house-for-sale.do
17용인 흥덕분양완료경기도 용인시 흥덕 택지개발지구 내 Ab2BL경기주택도시공사 사장84502<NA>2006-122009-08https://gh.or.kr/gh/house-for-sale.do
18시흥 능곡분양완료경기도 시흥시 능곡 택지개발지구 내 4BL경기주택도시공사 사장84239<NA>2006-112009-05https://gh.or.kr/gh/house-for-sale.do
19김포 장기분양완료경기도 김포시 장기 택지개발지구 내 4BL경기주택도시공사 사장84105<NA>2006-072009-05https://gh.or.kr/gh/house-for-sale.do
20화성 동탄 4-1BL분양완료경기도 화성시 동탄 택지개발지구 내 4-1BL경기주택도시공사 사장591289<NA>2005-032008-06https://gh.or.kr/gh/house-for-sale.do
21용인 동백분양완료경기도 용인시 동백지구 내 C1-3BL경기주택도시공사 사장84432<NA>2003-112006-08https://gh.or.kr/gh/house-for-sale.do
22용인 구갈분양완료경기도 용인시 구갈3 택지개발지구 내 4BL, 6-1BL경기주택도시공사 사장118781<NA>2001-112004-08https://gh.or.kr/gh/house-for-sale.do
23부천 상동분양완료경기도 부천시 상동 택지개발지구 내 9BL경기주택도시공사 사장101559<NA>1999-102002-09https://gh.or.kr/gh/house-for-sale.do
24수원 권선분양완료경기도 수원시 권선3 택지개발지구 내경기주택도시공사 사장102223<NA>1999-072001-09https://gh.or.kr/gh/house-for-sale.do