Overview

Dataset statistics

Number of variables7
Number of observations1154
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory67.7 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-21111/S/1/datasetView.do

Alerts

조사년도 has constant value ""Constant
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 10:12:26.552740
Analysis finished2023-12-11 10:12:27.623971
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct1154
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-11T19:12:27.876117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters12694
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

Unique1154 ?
Unique (%)100.0%

Sample

1st row2015_1_0001
2nd row2015_1_0002
3rd row2015_1_0004
4th row2015_1_0005
5th row2015_1_0006
ValueCountFrequency (%)
2015_1_0001 1
 
0.1%
2015_2_0332 1
 
0.1%
2015_2_0237 1
 
0.1%
2015_2_0236 1
 
0.1%
2015_2_0235 1
 
0.1%
2015_2_0233 1
 
0.1%
2015_2_0232 1
 
0.1%
2015_2_0239 1
 
0.1%
2015_2_0231 1
 
0.1%
2015_2_0229 1
 
0.1%
Other values (1144) 1144
99.1%
2023-12-11T19:12:28.306686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2739
21.6%
_ 2308
18.2%
2 2199
17.3%
1 2124
16.7%
5 1551
12.2%
3 422
 
3.3%
4 421
 
3.3%
6 265
 
2.1%
7 224
 
1.8%
8 224
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10386
81.8%
Connector Punctuation 2308
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2739
26.4%
2 2199
21.2%
1 2124
20.5%
5 1551
14.9%
3 422
 
4.1%
4 421
 
4.1%
6 265
 
2.6%
7 224
 
2.2%
8 224
 
2.2%
9 217
 
2.1%
Connector Punctuation
ValueCountFrequency (%)
_ 2308
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12694
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2739
21.6%
_ 2308
18.2%
2 2199
17.3%
1 2124
16.7%
5 1551
12.2%
3 422
 
3.3%
4 421
 
3.3%
6 265
 
2.1%
7 224
 
1.8%
8 224
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12694
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2739
21.6%
_ 2308
18.2%
2 2199
17.3%
1 2124
16.7%
5 1551
12.2%
3 422
 
3.3%
4 421
 
3.3%
6 265
 
2.1%
7 224
 
1.8%
8 224
 
1.8%

건축물명
Text

Distinct620
Distinct (%)53.7%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-11T19:12:28.558240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length25
Mean length8.0883882
Min length2

Characters and Unicode

Total characters9334
Distinct characters446
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique206 ?
Unique (%)17.9%

Sample

1st row㈜서브원
2nd row보스코산업2009.10.28압류
3rd row유병임
4th row흥국생명보험㈜
5th row흥국생명보험㈜
ValueCountFrequency (%)
아파트 25
 
1.7%
자일개발주식회사 18
 
1.3%
관리사무소 18
 
1.3%
삼성생명 8
 
0.6%
아쎈다스코리아오피스사모부동산투자신탁제3호 8
 
0.6%
경용구 8
 
0.6%
대림산업(주)광화문d타워 8
 
0.6%
소나무 8
 
0.6%
운영위원회 6
 
0.4%
동부센트레빌 6
 
0.4%
Other values (730) 1320
92.1%
2023-12-11T19:12:28.955925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
287
 
3.1%
스 239
 
2.6%
) 229
 
2.5%
( 227
 
2.4%
이 203
 
2.2%
리 184
 
2.0%
주 179
 
1.9%
아 175
 
1.9%
트 171
 
1.8%
대 165
 
1.8%
Other values (436) 7275
77.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8041
86.1%
Space Separator 287
 
3.1%
Uppercase Letter 264
 
2.8%
Close Punctuation 229
 
2.5%
Open Punctuation 227
 
2.4%
Decimal Number 160
 
1.7%
Other Symbol 63
 
0.7%
Lowercase Letter 40
 
0.4%
Other Punctuation 11
 
0.1%
Dash Punctuation 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 239
 
3.0%
이 203
 
2.5%
리 184
 
2.3%
주 179
 
2.2%
아 175
 
2.2%
트 171
 
2.1%
대 165
 
2.1%
사 138
 
1.7%
파 131
 
1.6%
타 119
 
1.5%
Other values (382) 6337
78.8%
Uppercase Letter
ValueCountFrequency (%)
C 39
14.8%
K 37
14.0%
T 30
11.4%
S 29
11.0%
G 16
 
6.1%
I 14
 
5.3%
A 12
 
4.5%
L 12
 
4.5%
D 12
 
4.5%
P 9
 
3.4%
Other values (13) 54
20.5%
Decimal Number
ValueCountFrequency (%)
2 50
31.2%
1 45
28.1%
3 22
13.8%
8 10
 
6.2%
5 9
 
5.6%
0 9
 
5.6%
6 8
 
5.0%
4 3
 
1.9%
7 3
 
1.9%
9 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
s 7
17.5%
e 7
17.5%
w 6
15.0%
k 4
10.0%
h 3
7.5%
i 3
7.5%
n 3
7.5%
r 3
7.5%
o 3
7.5%
z 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
? 3
27.3%
& 2
18.2%
, 2
18.2%
. 2
18.2%
/ 2
18.2%
Space Separator
ValueCountFrequency (%)
287
100.0%
Close Punctuation
ValueCountFrequency (%)
) 229
100.0%
Open Punctuation
ValueCountFrequency (%)
( 227
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8104
86.8%
Common 924
 
9.9%
Latin 306
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 239
 
2.9%
이 203
 
2.5%
리 184
 
2.3%
주 179
 
2.2%
아 175
 
2.2%
트 171
 
2.1%
대 165
 
2.0%
사 138
 
1.7%
파 131
 
1.6%
타 119
 
1.5%
Other values (383) 6400
79.0%
Latin
ValueCountFrequency (%)
C 39
12.7%
K 37
 
12.1%
T 30
 
9.8%
S 29
 
9.5%
G 16
 
5.2%
I 14
 
4.6%
A 12
 
3.9%
L 12
 
3.9%
D 12
 
3.9%
P 9
 
2.9%
Other values (24) 96
31.4%
Common
ValueCountFrequency (%)
287
31.1%
) 229
24.8%
( 227
24.6%
2 50
 
5.4%
1 45
 
4.9%
3 22
 
2.4%
- 10
 
1.1%
8 10
 
1.1%
5 9
 
1.0%
0 9
 
1.0%
Other values (9) 26
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8041
86.1%
ASCII 1228
 
13.2%
None 63
 
0.7%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
287
23.4%
) 229
18.6%
( 227
18.5%
2 50
 
4.1%
1 45
 
3.7%
C 39
 
3.2%
K 37
 
3.0%
T 30
 
2.4%
S 29
 
2.4%
3 22
 
1.8%
Other values (42) 233
19.0%
Hangul
ValueCountFrequency (%)
스 239
 
3.0%
이 203
 
2.5%
리 184
 
2.3%
주 179
 
2.2%
아 175
 
2.2%
트 171
 
2.1%
대 165
 
2.1%
사 138
 
1.7%
파 131
 
1.6%
타 119
 
1.5%
Other values (382) 6337
78.8%
None
ValueCountFrequency (%)
㈜ 63
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

건축물 위치
Text

Distinct592
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2023-12-11T19:12:29.291569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length37
Mean length17.857886
Min length3

Characters and Unicode

Total characters20608
Distinct characters321
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

Unique188 ?
Unique (%)16.3%

Sample

1st row필운대로 80(옥인동 45-8)
2nd row경희궁길 27(신문로2가 107)
3rd row필운대로 9-2(필운동 108-1)
4th row새문안로 68(신문로 1가 226)
5th row새문안로 68(신문로 1가 226)
ValueCountFrequency (%)
마포구 141
 
3.7%
서울특별시 132
 
3.5%
가산동 83
 
2.2%
양천구 75
 
2.0%
70
 
1.9%
강남구 54
 
1.4%
금천구 53
 
1.4%
송파구 44
 
1.2%
상암동 35
 
0.9%
목동 32
 
0.8%
Other values (1026) 3055
80.9%
2023-12-11T19:12:29.810504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2832
 
13.7%
동 1132
 
5.5%
로 1092
 
5.3%
1 931
 
4.5%
( 889
 
4.3%
) 883
 
4.3%
2 797
 
3.9%
3 580
 
2.8%
구 544
 
2.6%
6 525
 
2.5%
Other values (311) 10403
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10250
49.7%
Decimal Number 5126
24.9%
Space Separator 2832
 
13.7%
Open Punctuation 889
 
4.3%
Close Punctuation 883
 
4.3%
Dash Punctuation 373
 
1.8%
Other Punctuation 217
 
1.1%
Uppercase Letter 38
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1132
 
11.0%
로 1092
 
10.7%
구 544
 
5.3%
가 291
 
2.8%
길 283
 
2.8%
서 236
 
2.3%
산 217
 
2.1%
포 205
 
2.0%
대 200
 
2.0%
마 190
 
1.9%
Other values (282) 5860
57.2%
Uppercase Letter
ValueCountFrequency (%)
C 6
15.8%
A 6
15.8%
G 4
10.5%
I 4
10.5%
B 4
10.5%
T 2
 
5.3%
D 2
 
5.3%
K 2
 
5.3%
S 2
 
5.3%
L 2
 
5.3%
Other values (3) 4
10.5%
Decimal Number
ValueCountFrequency (%)
1 931
18.2%
2 797
15.5%
3 580
11.3%
6 525
10.2%
5 459
9.0%
4 434
8.5%
8 382
7.5%
7 361
 
7.0%
0 331
 
6.5%
9 326
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 211
97.2%
/ 6
 
2.8%
Space Separator
ValueCountFrequency (%)
2832
100.0%
Open Punctuation
ValueCountFrequency (%)
( 889
100.0%
Close Punctuation
ValueCountFrequency (%)
) 883
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 373
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10320
50.1%
Hangul 10250
49.7%
Latin 38
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1132
 
11.0%
로 1092
 
10.7%
구 544
 
5.3%
가 291
 
2.8%
길 283
 
2.8%
서 236
 
2.3%
산 217
 
2.1%
포 205
 
2.0%
대 200
 
2.0%
마 190
 
1.9%
Other values (282) 5860
57.2%
Common
ValueCountFrequency (%)
2832
27.4%
1 931
 
9.0%
( 889
 
8.6%
) 883
 
8.6%
2 797
 
7.7%
3 580
 
5.6%
6 525
 
5.1%
5 459
 
4.4%
4 434
 
4.2%
8 382
 
3.7%
Other values (6) 1608
15.6%
Latin
ValueCountFrequency (%)
C 6
15.8%
A 6
15.8%
G 4
10.5%
I 4
10.5%
B 4
10.5%
T 2
 
5.3%
D 2
 
5.3%
K 2
 
5.3%
S 2
 
5.3%
L 2
 
5.3%
Other values (3) 4
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10358
50.3%
Hangul 10250
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2832
27.3%
1 931
 
9.0%
( 889
 
8.6%
) 883
 
8.5%
2 797
 
7.7%
3 580
 
5.6%
6 525
 
5.1%
5 459
 
4.4%
4 434
 
4.2%
8 382
 
3.7%
Other values (19) 1646
15.9%
Hangul
ValueCountFrequency (%)
동 1132
 
11.0%
로 1092
 
10.7%
구 544
 
5.3%
가 291
 
2.8%
길 283
 
2.8%
서 236
 
2.3%
산 217
 
2.1%
포 205
 
2.0%
대 200
 
2.0%
마 190
 
1.9%
Other values (282) 5860
57.2%

조사년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2015
1154 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015
2nd row2015
3rd row2015
4th row2015
5th row2015

Common Values

ValueCountFrequency (%)
2015 1154
100.0%

Length

2023-12-11T19:12:29.969169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:12:30.067978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015 1154
100.0%

조사구분(1:상반기,2:하반기)
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.1 KiB
2
610 
1
544 

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 (%)
2 610
52.9%
1 544
47.1%

Length

2023-12-11T19:12:30.172494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:12:30.272356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 610
52.9%
1 544
47.1%

X좌표
Real number (ℝ)

Distinct539
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197990.9
Minimum182621.6
Maximum230362.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2023-12-11T19:12:30.402679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182621.6
5-th percentile188514.82
Q1192630.4
median198055.8
Q3202526.8
95-th percentile209578.72
Maximum230362.4
Range47740.8
Interquartile range (IQR)9896.4

Descriptive statistics

Standard deviation6619.1996
Coefficient of variation (CV)0.033431838
Kurtosis-0.32034277
Mean197990.9
Median Absolute Deviation (MAD)4841
Skewness0.22779429
Sum2.284815 × 108
Variance43813804
MonotonicityNot monotonic
2023-12-11T19:12:30.572799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199339.999958 24
 
2.1%
200314.400014 20
 
1.7%
201851.600006 18
 
1.6%
198133.60002 16
 
1.4%
199845.200019 12
 
1.0%
210460.00004 9
 
0.8%
197800.399981 8
 
0.7%
198308.399976 8
 
0.7%
198748.000023 6
 
0.5%
190193.599961 6
 
0.5%
Other values (529) 1027
89.0%
ValueCountFrequency (%)
182621.599999 1
 
0.1%
183945.599995 2
0.2%
184182.000002 3
0.3%
185048.399987 1
 
0.1%
185048.400009 1
 
0.1%
185164.400013 2
0.2%
185246.799964 2
0.2%
185454.39996 2
0.2%
185459.999977 1
 
0.1%
185619.199963 2
0.2%
ValueCountFrequency (%)
230362.399975 1
0.1%
215493.199993 2
0.2%
212627.200021 1
0.1%
211852.000044 1
0.1%
211119.599992 2
0.2%
211053.199961 2
0.2%
211045.200012 2
0.2%
210997.199981 2
0.2%
210937.999979 1
0.1%
210871.999984 2
0.2%

Y좌표
Real number (ℝ)

Distinct539
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449386.89
Minimum299795.2
Maximum463878.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2023-12-11T19:12:30.738605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum299795.2
5-th percentile442085.2
Q1445703.8
median449961.6
Q3452436.4
95-th percentile457920.96
Maximum463878.4
Range164083.2
Interquartile range (IQR)6732.6

Descriptive statistics

Standard deviation6471.0144
Coefficient of variation (CV)0.014399651
Kurtosis246.80635
Mean449386.89
Median Absolute Deviation (MAD)2953
Skewness-10.625195
Sum5.1859247 × 108
Variance41874027
MonotonicityNot monotonic
2023-12-11T19:12:31.203194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452386.400002 24
 
2.1%
452311.200004 20
 
1.7%
452915.600001 18
 
1.6%
452435.200001 16
 
1.4%
452603.999996 12
 
1.0%
442817.199998 9
 
0.8%
452674.400005 8
 
0.7%
452424.399996 8
 
0.7%
452894.399997 6
 
0.5%
453400.800002 6
 
0.5%
Other values (529) 1027
89.0%
ValueCountFrequency (%)
299795.200002 1
0.1%
438835.2 1
0.1%
438897.600005 2
0.2%
438983.200005 2
0.2%
439674.000004 1
0.1%
439754.4 1
0.1%
440527.599999 1
0.1%
440635.199997 1
0.1%
440669.200001 2
0.2%
440759.600004 2
0.2%
ValueCountFrequency (%)
463878.399997 2
0.2%
463498.800003 2
0.2%
462446.799996 2
0.2%
462376.400003 2
0.2%
462352.799999 2
0.2%
461647.600004 2
0.2%
461626.800005 2
0.2%
461401.599995 2
0.2%
460645.999999 4
0.3%
460420.799998 2
0.2%

Interactions

2023-12-11T19:12:27.255862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:12:27.020670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:12:27.356711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T19:12:27.102462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T19:12:31.307928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조사구분(1:상반기,2:하반기)X좌표Y좌표
조사구분(1:상반기,2:하반기)1.0000.0000.000
X좌표0.0001.0000.434
Y좌표0.0000.4341.000
2023-12-11T19:12:31.405504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
X좌표Y좌표조사구분(1:상반기,2:하반기)
X좌표1.0000.2390.000
Y좌표0.2391.0000.000
조사구분(1:상반기,2:하반기)0.0000.0001.000

Missing values

2023-12-11T19:12:27.470275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T19:12:27.580896image/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
02015_1_0001㈜서브원필운대로 80(옥인동 45-8)20151197134.000028453736.800005
12015_1_0002보스코산업2009.10.28압류경희궁길 27(신문로2가 107)20151197389.99999452508.400001
22015_1_0004유병임필운대로 9-2(필운동 108-1)20151197266.80002453065.599997
32015_1_0005흥국생명보험㈜새문안로 68(신문로 1가 226)20151197538.800033452233.999994
42015_1_0006흥국생명보험㈜새문안로 68(신문로 1가 226)20151197538.800033452233.999994
52015_1_0007흥국생명보험㈜새문안로 68(신문로 1가 226)20151197538.800033452233.999994
62015_1_0008정부중앙청사빌딩사직로 8길 60(도렴동 95-1)20151197800.399981452674.400005
72015_1_0009정부중앙청사빌딩사직로 8길 60(도렴동 95-1)20151197800.399981452674.400005
82015_1_0010정부중앙청사빌딩사직로 8길 60(도렴동 95-1)20151197800.399981452674.400005
92015_1_0011정부중앙청사빌딩사직로 8길 60(도렴동 95-1)20151197800.399981452674.400005
관리번호건축물명건축물 위치조사년도조사구분(1:상반기,2:하반기)X좌표Y좌표
11442015_2_0629한미사이언스(주)서울특별시 송파구 위례성대로 14(방이동 45 ,한미타워 )20152210074.400043446351.600005
11452015_2_0632현대건설(주)서울특별시 송파구 (장지동 453-1)20152212627.200021442161.999998
11462015_2_0633현대건설(주) 정수현서울특별시 송파구 (문정동 643-1)20152210702.399995442963.199998
11472015_2_0634현대엔지니어링서울특별시 송파구 (문정동202-2)20152210673.200006443082.8
11482015_2_0635현대엔지니어링(주)서울특별시 송파구 (문정동651)20152210695.599981442808.799996
11492015_2_0636현대토픽스관리소서울특별시 송파구 위례성대로 6(방이동 44-3)20152210003.199979446379.199996
11502015_2_0637푸르지오 시티강동구 구천면로 19220152211119.599992448990.800003
11512015_2_0638?현대백화점강동구 천호대로 100520152210997.199981448824.399999
11522015_2_0639대우한강베네시티?강동구 올림픽로 66420152211045.200012449012.399995
11532015_2_0640삼성엔지니어링(주)강동구 상일로 6길 2620152215493.199993449936.799999