Overview

Dataset statistics

Number of variables7
Number of observations1521
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.2 KiB
Average record size in memory60.1 B

Variable types

Text3
Categorical2
Numeric2

Dataset

Description관리번호,건축물명,건축물 위치,조사년도,조사구분(1:상반기,2:하반기),X좌표,Y좌표
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21114/S/1/datasetView.do

Alerts

조사년도 has constant value ""Constant
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 04:34:14.672358
Analysis finished2023-12-11 04:34:15.978446
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct1521
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2023-12-11T13:34:16.255255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters16731
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

Unique1521 ?
Unique (%)100.0%

Sample

1st row2018_1_0001
2nd row2018_1_0003
3rd row2018_1_0004
4th row2018_1_0005
5th row2018_1_0007
ValueCountFrequency (%)
2018_1_0001 1
 
0.1%
2018_2_0312 1
 
0.1%
2018_2_0321 1
 
0.1%
2018_2_0320 1
 
0.1%
2018_2_0319 1
 
0.1%
2018_2_0318 1
 
0.1%
2018_2_0317 1
 
0.1%
2018_2_0316 1
 
0.1%
2018_2_0315 1
 
0.1%
2018_2_0314 1
 
0.1%
Other values (1511) 1511
99.3%
2023-12-11T13:34:16.781337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3532
21.1%
_ 3042
18.2%
2 2801
16.7%
1 2733
16.3%
8 1870
11.2%
3 502
 
3.0%
5 500
 
3.0%
4 497
 
3.0%
7 481
 
2.9%
6 479
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13689
81.8%
Connector Punctuation 3042
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3532
25.8%
2 2801
20.5%
1 2733
20.0%
8 1870
13.7%
3 502
 
3.7%
5 500
 
3.7%
4 497
 
3.6%
7 481
 
3.5%
6 479
 
3.5%
9 294
 
2.1%
Connector Punctuation
ValueCountFrequency (%)
_ 3042
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16731
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3532
21.1%
_ 3042
18.2%
2 2801
16.7%
1 2733
16.3%
8 1870
11.2%
3 502
 
3.0%
5 500
 
3.0%
4 497
 
3.0%
7 481
 
2.9%
6 479
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16731
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3532
21.1%
_ 3042
18.2%
2 2801
16.7%
1 2733
16.3%
8 1870
11.2%
3 502
 
3.0%
5 500
 
3.0%
4 497
 
3.0%
7 481
 
2.9%
6 479
 
2.9%

건축물명
Text

Distinct759
Distinct (%)49.9%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2023-12-11T13:34:17.098878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length8.617357
Min length2

Characters and Unicode

Total characters13107
Distinct characters484
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)8.0%

Sample

1st row주얼리시티㈜
2nd row서울대병원(외래암센터)
3rd rowThe-K Twin Towers
4th row(주)마스턴제이호위탁관리부동산㈜(센터포인트광화문빌딩)
5th row(주)청하고려인삼
ValueCountFrequency (%)
아파트 27
 
1.4%
근린생활시설 14
 
0.7%
신축공사(㈜호유엠케이 14
 
0.7%
서울대학교 10
 
0.5%
주)단성사 10
 
0.5%
○○○ 10
 
0.5%
오피스텔 9
 
0.5%
삼성물산(주 9
 
0.5%
의과대학장 8
 
0.4%
신축공사 8
 
0.4%
Other values (896) 1815
93.8%
2023-12-11T13:34:17.543331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
417
 
3.2%
스 355
 
2.7%
) 344
 
2.6%
( 342
 
2.6%
이 304
 
2.3%
주 239
 
1.8%
트 238
 
1.8%
리 238
 
1.8%
파 210
 
1.6%
대 210
 
1.6%
Other values (474) 10210
77.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11222
85.6%
Space Separator 417
 
3.2%
Uppercase Letter 396
 
3.0%
Close Punctuation 344
 
2.6%
Open Punctuation 342
 
2.6%
Decimal Number 189
 
1.4%
Other Symbol 137
 
1.0%
Lowercase Letter 43
 
0.3%
Dash Punctuation 10
 
0.1%
Other Punctuation 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 355
 
3.2%
이 304
 
2.7%
주 239
 
2.1%
트 238
 
2.1%
리 238
 
2.1%
파 210
 
1.9%
대 210
 
1.9%
사 196
 
1.7%
아 196
 
1.7%
타 169
 
1.5%
Other values (419) 8867
79.0%
Uppercase Letter
ValueCountFrequency (%)
K 61
15.4%
S 53
13.4%
C 44
11.1%
G 31
 
7.8%
T 28
 
7.1%
L 23
 
5.8%
I 22
 
5.6%
A 20
 
5.1%
B 17
 
4.3%
E 15
 
3.8%
Other values (14) 82
20.7%
Lowercase Letter
ValueCountFrequency (%)
e 12
27.9%
s 5
11.6%
t 5
11.6%
w 4
 
9.3%
n 3
 
7.0%
r 3
 
7.0%
i 2
 
4.7%
o 2
 
4.7%
h 2
 
4.7%
a 2
 
4.7%
Other values (3) 3
 
7.0%
Decimal Number
ValueCountFrequency (%)
2 64
33.9%
1 54
28.6%
3 22
 
11.6%
5 16
 
8.5%
0 11
 
5.8%
6 8
 
4.2%
4 7
 
3.7%
8 5
 
2.6%
7 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
/ 3
42.9%
? 2
28.6%
, 2
28.6%
Other Symbol
ValueCountFrequency (%)
㈜ 107
78.1%
○ 30
 
21.9%
Space Separator
ValueCountFrequency (%)
417
100.0%
Close Punctuation
ValueCountFrequency (%)
) 344
100.0%
Open Punctuation
ValueCountFrequency (%)
( 342
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11329
86.4%
Common 1339
 
10.2%
Latin 439
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 355
 
3.1%
이 304
 
2.7%
주 239
 
2.1%
트 238
 
2.1%
리 238
 
2.1%
파 210
 
1.9%
대 210
 
1.9%
사 196
 
1.7%
아 196
 
1.7%
타 169
 
1.5%
Other values (420) 8974
79.2%
Latin
ValueCountFrequency (%)
K 61
13.9%
S 53
12.1%
C 44
 
10.0%
G 31
 
7.1%
T 28
 
6.4%
L 23
 
5.2%
I 22
 
5.0%
A 20
 
4.6%
B 17
 
3.9%
E 15
 
3.4%
Other values (27) 125
28.5%
Common
ValueCountFrequency (%)
417
31.1%
) 344
25.7%
( 342
25.5%
2 64
 
4.8%
1 54
 
4.0%
○ 30
 
2.2%
3 22
 
1.6%
5 16
 
1.2%
0 11
 
0.8%
- 10
 
0.7%
Other values (7) 29
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11222
85.6%
ASCII 1748
 
13.3%
None 107
 
0.8%
Geometric Shapes 30
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
417
23.9%
) 344
19.7%
( 342
19.6%
2 64
 
3.7%
K 61
 
3.5%
1 54
 
3.1%
S 53
 
3.0%
C 44
 
2.5%
G 31
 
1.8%
T 28
 
1.6%
Other values (43) 310
17.7%
Hangul
ValueCountFrequency (%)
스 355
 
3.2%
이 304
 
2.7%
주 239
 
2.1%
트 238
 
2.1%
리 238
 
2.1%
파 210
 
1.9%
대 210
 
1.9%
사 196
 
1.7%
아 196
 
1.7%
타 169
 
1.5%
Other values (419) 8867
79.0%
None
ValueCountFrequency (%)
㈜ 107
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 30
100.0%

건축물 위치
Text

Distinct750
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2023-12-11T13:34:17.925122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length38
Mean length16.544379
Min length5

Characters and Unicode

Total characters25164
Distinct characters356
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

Unique91 ?
Unique (%)6.0%

Sample

1st row종로 183(인의동)
2nd row대학로 101(연건동 ,서울대학교병원 )
3rd row종로1길 50(중학동)
4th row새문안로5길 31(도렴동)
5th row자하문로 280(부암동, 금박B/D)
ValueCountFrequency (%)
123
 
2.8%
상암동 34
 
0.8%
목동 31
 
0.7%
가산동 31
 
0.7%
가산디지털1로 27
 
0.6%
목동동로 26
 
0.6%
강남대로 26
 
0.6%
마포대로 24
 
0.5%
문정동 24
 
0.5%
신정동 22
 
0.5%
Other values (1503) 4031
91.6%
2023-12-11T13:34:18.888183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2957
 
11.8%
1 1583
 
6.3%
동 1465
 
5.8%
로 1398
 
5.6%
) 1213
 
4.8%
( 1205
 
4.8%
2 1070
 
4.3%
3 840
 
3.3%
4 692
 
2.7%
5 686
 
2.7%
Other values (346) 12055
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11359
45.1%
Decimal Number 7467
29.7%
Space Separator 2957
 
11.8%
Close Punctuation 1215
 
4.8%
Open Punctuation 1207
 
4.8%
Dash Punctuation 610
 
2.4%
Other Punctuation 273
 
1.1%
Uppercase Letter 74
 
0.3%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1465
 
12.9%
로 1398
 
12.3%
길 404
 
3.6%
대 365
 
3.2%
가 305
 
2.7%
산 235
 
2.1%
서 221
 
1.9%
지 181
 
1.6%
정 173
 
1.5%
신 169
 
1.5%
Other values (315) 6443
56.7%
Uppercase Letter
ValueCountFrequency (%)
B 16
21.6%
C 14
18.9%
A 10
13.5%
S 10
13.5%
G 6
 
8.1%
K 6
 
8.1%
D 4
 
5.4%
I 2
 
2.7%
J 2
 
2.7%
L 2
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 1583
21.2%
2 1070
14.3%
3 840
11.2%
4 692
9.3%
5 686
9.2%
6 659
8.8%
0 572
 
7.7%
7 508
 
6.8%
9 445
 
6.0%
8 412
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 259
94.9%
/ 12
 
4.4%
. 2
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 1213
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1205
99.8%
[ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
2957
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 610
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13729
54.6%
Hangul 11361
45.1%
Latin 74
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1465
 
12.9%
로 1398
 
12.3%
길 404
 
3.6%
대 365
 
3.2%
가 305
 
2.7%
산 235
 
2.1%
서 221
 
1.9%
지 181
 
1.6%
정 173
 
1.5%
신 169
 
1.5%
Other values (316) 6445
56.7%
Common
ValueCountFrequency (%)
2957
21.5%
1 1583
11.5%
) 1213
8.8%
( 1205
8.8%
2 1070
 
7.8%
3 840
 
6.1%
4 692
 
5.0%
5 686
 
5.0%
6 659
 
4.8%
- 610
 
4.4%
Other values (9) 2214
16.1%
Latin
ValueCountFrequency (%)
B 16
21.6%
C 14
18.9%
A 10
13.5%
S 10
13.5%
G 6
 
8.1%
K 6
 
8.1%
D 4
 
5.4%
I 2
 
2.7%
J 2
 
2.7%
L 2
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13803
54.9%
Hangul 11359
45.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2957
21.4%
1 1583
11.5%
) 1213
8.8%
( 1205
8.7%
2 1070
 
7.8%
3 840
 
6.1%
4 692
 
5.0%
5 686
 
5.0%
6 659
 
4.8%
- 610
 
4.4%
Other values (20) 2288
16.6%
Hangul
ValueCountFrequency (%)
동 1465
 
12.9%
로 1398
 
12.3%
길 404
 
3.6%
대 365
 
3.2%
가 305
 
2.7%
산 235
 
2.1%
서 221
 
1.9%
지 181
 
1.6%
정 173
 
1.5%
신 169
 
1.5%
Other values (315) 6443
56.7%
None
ValueCountFrequency (%)
㈜ 2
100.0%

조사년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2018
1521 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 1521
100.0%

Length

2023-12-11T13:34:19.084671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:34:19.222493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 1521
100.0%

조사구분(1:상반기,2:하반기)
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2
794 
1
727 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 794
52.2%
1 727
47.8%

Length

2023-12-11T13:34:19.370615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:34:19.504085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 794
52.2%
1 727
47.8%

X좌표
Real number (ℝ)

Distinct717
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199623.24
Minimum182594.4
Maximum216014.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T13:34:19.647018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182594.4
5-th percentile189022.8
Q1193355.2
median199900.8
Q3205288
95-th percentile210718.4
Maximum216014.8
Range33420.4
Interquartile range (IQR)11932.8

Descriptive statistics

Standard deviation7171.4066
Coefficient of variation (CV)0.035924707
Kurtosis-0.98990178
Mean199623.24
Median Absolute Deviation (MAD)5663.2
Skewness-0.011892447
Sum3.0362696 × 108
Variance51429073
MonotonicityNot monotonic
2023-12-11T13:34:19.879923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205327.2 11
 
0.7%
199338.8 10
 
0.7%
189843.6 9
 
0.6%
199954.0 8
 
0.5%
210213.2 8
 
0.5%
199854.8 8
 
0.5%
200712.8 7
 
0.5%
202306.4 6
 
0.4%
202374.8 6
 
0.4%
201868.4 6
 
0.4%
Other values (707) 1442
94.8%
ValueCountFrequency (%)
182594.4 2
0.1%
185052.0 2
0.1%
185249.2 2
0.1%
185454.0 2
0.1%
185618.4 2
0.1%
185674.8 2
0.1%
185894.0 2
0.1%
185904.0 2
0.1%
186023.2 2
0.1%
186030.0 2
0.1%
ValueCountFrequency (%)
216014.8 2
0.1%
215493.2 2
0.1%
215346.8 2
0.1%
214757.6 2
0.1%
214362.4 4
0.3%
214260.8 2
0.1%
212870.0 2
0.1%
212711.6 2
0.1%
212632.8 2
0.1%
212599.2 2
0.1%

Y좌표
Real number (ℝ)

Distinct712
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448366.89
Minimum414729.6
Maximum464768.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T13:34:20.080925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum414729.6
5-th percentile441396.4
Q1444063.2
median447699.6
Q3451926.4
95-th percentile459565.6
Maximum464768.4
Range50038.8
Interquartile range (IQR)7863.2

Descriptive statistics

Standard deviation5511.6379
Coefficient of variation (CV)0.012292696
Kurtosis1.4733305
Mean448366.89
Median Absolute Deviation (MAD)3987.2
Skewness0.29317063
Sum6.8196604 × 108
Variance30378152
MonotonicityNot monotonic
2023-12-11T13:34:20.252912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444927.6 11
 
0.7%
442963.2 10
 
0.7%
452381.6 10
 
0.7%
441245.6 9
 
0.6%
446335.6 8
 
0.5%
453464.4 8
 
0.5%
452621.6 8
 
0.5%
445633.6 7
 
0.5%
452243.6 6
 
0.4%
444063.2 6
 
0.4%
Other values (702) 1438
94.5%
ValueCountFrequency (%)
414729.6 2
0.1%
435063.2 2
0.1%
438832.8 2
0.1%
438882.4 2
0.1%
438884.8 2
0.1%
438978.4 2
0.1%
439328.4 4
0.3%
439395.2 1
 
0.1%
439408.8 1
 
0.1%
439672.0 2
0.1%
ValueCountFrequency (%)
464768.4 2
0.1%
463878.4 2
0.1%
463223.6 2
0.1%
463086.0 2
0.1%
462836.0 4
0.3%
462555.2 2
0.1%
462446.8 2
0.1%
462419.2 2
0.1%
462365.2 2
0.1%
462352.8 2
0.1%

Interactions

2023-12-11T13:34:15.549830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:34:15.352102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:34:15.668135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:34:15.453808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T13:34:20.395126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조사구분(1:상반기,2:하반기)X좌표Y좌표
조사구분(1:상반기,2:하반기)1.0000.0000.000
X좌표0.0001.0000.460
Y좌표0.0000.4601.000
2023-12-11T13:34:20.518980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
X좌표Y좌표조사구분(1:상반기,2:하반기)
X좌표1.0000.0120.000
Y좌표0.0121.0000.000
조사구분(1:상반기,2:하반기)0.0000.0001.000

Missing values

2023-12-11T13:34:15.799751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T13:34:15.924728image/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

관리번호건축물명건축물 위치조사년도조사구분(1:상반기,2:하반기)X좌표Y좌표
02018_1_0001주얼리시티㈜종로 183(인의동)20181199882.4452438.0
12018_1_0003서울대병원(외래암센터)대학로 101(연건동 ,서울대학교병원 )20181199893.6453289.6
22018_1_0004The-K Twin Towers종로1길 50(중학동)20181198171.2452801.6
32018_1_0005(주)마스턴제이호위탁관리부동산㈜(센터포인트광화문빌딩)새문안로5길 31(도렴동)20181197730.0452611.6
42018_1_0007(주)청하고려인삼자하문로 280(부암동, 금박B/D)20181196624.4455464.4
52018_1_0008운현궁 SK허브 운영위원회삼일대로 461(경운동)20181198728.4452909.6
62018_1_0009운현궁 SK허브 운영위원회삼일대로 461(경운동)20181198728.4452909.6
72018_1_0010(주)단성사돈화문로 26(묘동)20181199338.8452381.6
82018_1_0011(주)단성사돈화문로 26(묘동)20181199338.8452381.6
92018_1_0012(주)단성사돈화문로 26(묘동)20181199338.8452381.6
관리번호건축물명건축물 위치조사년도조사구분(1:상반기,2:하반기)X좌표Y좌표
15112018_2_0848대우한강베네시티올림픽로 664(천호동)20182211040.4449018.8
15122018_2_0849?현대백화점천호대로 100520182210999.6448842.8
15132018_2_0850푸르지오시티구천면로 19220182211119.6448990.8
15142018_2_0851삼성엔지니어링(주)상일로6길 2620182215493.2449942.4
15152018_2_0852강일리슈빌아리수로 41920182215346.8451667.2
15162018_2_0853고덕4단지 재건축현장구천면로 57120182214260.8450200.4
15172018_2_0854고덕주공2단지(현대)고덕동 21220182214757.6450932.4
15182018_2_0855고덕주공2단지(SK)고덕동 21720182214362.4450942.0
15192018_2_0856고덕주공2단지(대우)고덕동 21720182214362.4450942.0
15202018_2_0857힐스테이트암사 건설현장암사동 514번지 일대20182211066.0450018.4