Overview

Dataset statistics

Number of variables7
Number of observations933
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.8 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-21112/S/1/datasetView.do

Alerts

조사년도 has constant value ""Constant
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 05:22:15.629913
Analysis finished2023-12-11 05:22:19.564265
Duration3.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct933
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-11T14:22:20.156357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters10263
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

Unique933 ?
Unique (%)100.0%

Sample

1st row2016_1_0001
2nd row2016_1_0002
3rd row2016_1_0003
4th row2016_1_0004
5th row2016_1_0005
ValueCountFrequency (%)
2016_1_0001 1
 
0.1%
2016_2_0279 1
 
0.1%
2016_2_0293 1
 
0.1%
2016_2_0268 1
 
0.1%
2016_2_0269 1
 
0.1%
2016_2_0270 1
 
0.1%
2016_2_0271 1
 
0.1%
2016_2_0272 1
 
0.1%
2016_2_0273 1
 
0.1%
2016_2_0274 1
 
0.1%
Other values (923) 923
98.9%
2023-12-11T14:22:21.875421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2246
21.9%
2 1878
18.3%
_ 1866
18.2%
1 1684
16.4%
6 1130
11.0%
3 358
 
3.5%
5 287
 
2.8%
4 270
 
2.6%
7 187
 
1.8%
8 179
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8397
81.8%
Connector Punctuation 1866
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2246
26.7%
2 1878
22.4%
1 1684
20.1%
6 1130
13.5%
3 358
 
4.3%
5 287
 
3.4%
4 270
 
3.2%
7 187
 
2.2%
8 179
 
2.1%
9 178
 
2.1%
Connector Punctuation
ValueCountFrequency (%)
_ 1866
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10263
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2246
21.9%
2 1878
18.3%
_ 1866
18.2%
1 1684
16.4%
6 1130
11.0%
3 358
 
3.5%
5 287
 
2.8%
4 270
 
2.6%
7 187
 
1.8%
8 179
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10263
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2246
21.9%
2 1878
18.3%
_ 1866
18.2%
1 1684
16.4%
6 1130
11.0%
3 358
 
3.5%
5 287
 
2.8%
4 270
 
2.6%
7 187
 
1.8%
8 179
 
1.7%

건축물명
Text

Distinct584
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-11T14:22:22.239741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.9292605
Min length2

Characters and Unicode

Total characters7398
Distinct characters450
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

Unique272 ?
Unique (%)29.2%

Sample

1st row백상빌딩
2nd row동아일보사
3rd row연세의료원(오폐수처리장)
4th row김진성 ㈜버티고
5th row이화여대(ECC관)
ValueCountFrequency (%)
해창개발 6
 
0.5%
종로청계힐스테이트 6
 
0.5%
더 6
 
0.5%
주)단성사 6
 
0.5%
서울대학교 5
 
0.4%
서울 4
 
0.3%
홍익대학교 4
 
0.3%
성락교회 4
 
0.3%
ytn 4
 
0.3%
홈플러스 4
 
0.3%
Other values (683) 1094
95.7%
2023-12-11T14:22:22.689590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 213
 
2.9%
210
 
2.8%
이 162
 
2.2%
트 139
 
1.9%
대 135
 
1.8%
아 129
 
1.7%
리 128
 
1.7%
( 125
 
1.7%
) 125
 
1.7%
타 111
 
1.5%
Other values (440) 5921
80.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6473
87.5%
Uppercase Letter 255
 
3.4%
Space Separator 210
 
2.8%
Decimal Number 130
 
1.8%
Open Punctuation 127
 
1.7%
Close Punctuation 127
 
1.7%
Other Symbol 54
 
0.7%
Lowercase Letter 12
 
0.2%
Dash Punctuation 7
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 213
 
3.3%
이 162
 
2.5%
트 139
 
2.1%
대 135
 
2.1%
아 129
 
2.0%
리 128
 
2.0%
타 111
 
1.7%
파 100
 
1.5%
지 93
 
1.4%
주 91
 
1.4%
Other values (389) 5172
79.9%
Uppercase Letter
ValueCountFrequency (%)
K 34
13.3%
C 33
12.9%
S 27
10.6%
T 26
10.2%
I 19
 
7.5%
L 16
 
6.3%
G 15
 
5.9%
E 12
 
4.7%
N 8
 
3.1%
P 8
 
3.1%
Other values (14) 57
22.4%
Decimal Number
ValueCountFrequency (%)
2 44
33.8%
1 40
30.8%
3 15
 
11.5%
5 8
 
6.2%
6 7
 
5.4%
8 6
 
4.6%
0 6
 
4.6%
7 2
 
1.5%
4 2
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
e 4
33.3%
w 2
16.7%
s 1
 
8.3%
r 1
 
8.3%
o 1
 
8.3%
n 1
 
8.3%
i 1
 
8.3%
h 1
 
8.3%
Open Punctuation
ValueCountFrequency (%)
( 125
98.4%
[ 2
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 125
98.4%
] 2
 
1.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
210
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6527
88.2%
Common 603
 
8.2%
Latin 268
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 213
 
3.3%
이 162
 
2.5%
트 139
 
2.1%
대 135
 
2.1%
아 129
 
2.0%
리 128
 
2.0%
타 111
 
1.7%
파 100
 
1.5%
지 93
 
1.4%
주 91
 
1.4%
Other values (390) 5226
80.1%
Latin
ValueCountFrequency (%)
K 34
12.7%
C 33
12.3%
S 27
 
10.1%
T 26
 
9.7%
I 19
 
7.1%
L 16
 
6.0%
G 15
 
5.6%
E 12
 
4.5%
N 8
 
3.0%
P 8
 
3.0%
Other values (23) 70
26.1%
Common
ValueCountFrequency (%)
210
34.8%
( 125
20.7%
) 125
20.7%
2 44
 
7.3%
1 40
 
6.6%
3 15
 
2.5%
5 8
 
1.3%
- 7
 
1.2%
6 7
 
1.2%
8 6
 
1.0%
Other values (7) 16
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6473
87.5%
ASCII 870
 
11.8%
None 54
 
0.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 213
 
3.3%
이 162
 
2.5%
트 139
 
2.1%
대 135
 
2.1%
아 129
 
2.0%
리 128
 
2.0%
타 111
 
1.7%
파 100
 
1.5%
지 93
 
1.4%
주 91
 
1.4%
Other values (389) 5172
79.9%
ASCII
ValueCountFrequency (%)
210
24.1%
( 125
14.4%
) 125
14.4%
2 44
 
5.1%
1 40
 
4.6%
K 34
 
3.9%
C 33
 
3.8%
S 27
 
3.1%
T 26
 
3.0%
I 19
 
2.2%
Other values (39) 187
21.5%
None
ValueCountFrequency (%)
㈜ 54
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

건축물 위치
Text

Distinct575
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-11T14:22:23.090383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length18.046088
Min length4

Characters and Unicode

Total characters16837
Distinct characters312
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

Unique255 ?
Unique (%)27.3%

Sample

1st row신촌로231(북아현동221-7)
2nd row충정로 28-1(충정로3가 58)
3rd row연세로 50(신촌동 134 ,연세의료원(오폐수처리장) )
4th row연세로 8-1(창천동 18-58)
5th row이화여대길 52(대현동 11-1 ,이화여대
ValueCountFrequency (%)
마포구 151
 
5.0%
서울특별시 108
 
3.5%
가산동 80
 
2.6%
양천구 79
 
2.6%
종로구 74
 
2.4%
금천구 64
 
2.1%
44
 
1.4%
상암동 36
 
1.2%
노원구 33
 
1.1%
영등포구 32
 
1.1%
Other values (993) 2344
77.0%
2023-12-11T14:22:23.713650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2292
 
13.6%
로 983
 
5.8%
동 924
 
5.5%
1 794
 
4.7%
( 716
 
4.3%
) 709
 
4.2%
2 565
 
3.4%
구 505
 
3.0%
3 483
 
2.9%
5 375
 
2.2%
Other values (302) 8491
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8725
51.8%
Decimal Number 3924
23.3%
Space Separator 2292
 
13.6%
Open Punctuation 717
 
4.3%
Close Punctuation 710
 
4.2%
Dash Punctuation 249
 
1.5%
Other Punctuation 177
 
1.1%
Uppercase Letter 43
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 983
 
11.3%
동 924
 
10.6%
구 505
 
5.8%
가 265
 
3.0%
서 253
 
2.9%
길 236
 
2.7%
포 227
 
2.6%
산 223
 
2.6%
마 198
 
2.3%
천 178
 
2.0%
Other values (271) 4733
54.2%
Uppercase Letter
ValueCountFrequency (%)
A 6
14.0%
C 6
14.0%
B 6
14.0%
S 5
11.6%
G 4
9.3%
K 4
9.3%
D 3
7.0%
T 2
 
4.7%
L 2
 
4.7%
F 2
 
4.7%
Other values (2) 3
7.0%
Decimal Number
ValueCountFrequency (%)
1 794
20.2%
2 565
14.4%
3 483
12.3%
5 375
9.6%
4 334
8.5%
6 311
 
7.9%
0 292
 
7.4%
7 290
 
7.4%
8 248
 
6.3%
9 232
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 175
98.9%
. 1
 
0.6%
/ 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 716
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 709
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
2292
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 249
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8725
51.8%
Common 8069
47.9%
Latin 43
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 983
 
11.3%
동 924
 
10.6%
구 505
 
5.8%
가 265
 
3.0%
서 253
 
2.9%
길 236
 
2.7%
포 227
 
2.6%
산 223
 
2.6%
마 198
 
2.3%
천 178
 
2.0%
Other values (271) 4733
54.2%
Common
ValueCountFrequency (%)
2292
28.4%
1 794
 
9.8%
( 716
 
8.9%
) 709
 
8.8%
2 565
 
7.0%
3 483
 
6.0%
5 375
 
4.6%
4 334
 
4.1%
6 311
 
3.9%
0 292
 
3.6%
Other values (9) 1198
14.8%
Latin
ValueCountFrequency (%)
A 6
14.0%
C 6
14.0%
B 6
14.0%
S 5
11.6%
G 4
9.3%
K 4
9.3%
D 3
7.0%
T 2
 
4.7%
L 2
 
4.7%
F 2
 
4.7%
Other values (2) 3
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8725
51.8%
ASCII 8112
48.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2292
28.3%
1 794
 
9.8%
( 716
 
8.8%
) 709
 
8.7%
2 565
 
7.0%
3 483
 
6.0%
5 375
 
4.6%
4 334
 
4.1%
6 311
 
3.8%
0 292
 
3.6%
Other values (21) 1241
15.3%
Hangul
ValueCountFrequency (%)
로 983
 
11.3%
동 924
 
10.6%
구 505
 
5.8%
가 265
 
3.0%
서 253
 
2.9%
길 236
 
2.7%
포 227
 
2.6%
산 223
 
2.6%
마 198
 
2.3%
천 178
 
2.0%
Other values (271) 4733
54.2%

조사년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2016
933 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016
2nd row2016
3rd row2016
4th row2016
5th row2016

Common Values

ValueCountFrequency (%)
2016 933
100.0%

Length

2023-12-11T14:22:23.909774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:22:24.020292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016 933
100.0%

조사구분(1:상반기,2:하반기)
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2
568 
1
365 

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 (%)
2 568
60.9%
1 365
39.1%

Length

2023-12-11T14:22:24.139610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:22:24.279462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 568
60.9%
1 365
39.1%

X좌표
Real number (ℝ)

Distinct536
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196362.68
Minimum182621.6
Maximum230362.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2023-12-11T14:22:24.429291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182621.6
5-th percentile188451.12
Q1190801.2
median196128
Q3201283.2
95-th percentile206162.8
Maximum230362.4
Range47740.8
Interquartile range (IQR)10482

Descriptive statistics

Standard deviation5976.8256
Coefficient of variation (CV)0.030437685
Kurtosis-0.0036358197
Mean196362.68
Median Absolute Deviation (MAD)5326.4
Skewness0.34917759
Sum1.8320638 × 108
Variance35722444
MonotonicityNot monotonic
2023-12-11T14:22:24.666795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190193.599961 6
 
0.6%
199796.400004 6
 
0.6%
201851.600006 6
 
0.6%
199339.999958 6
 
0.6%
196399.199998 4
 
0.4%
193371.999967 4
 
0.4%
203323.999988 4
 
0.4%
197607.199995 4
 
0.4%
199845.200019 4
 
0.4%
200314.400014 4
 
0.4%
Other values (526) 885
94.9%
ValueCountFrequency (%)
182621.599999 1
0.1%
185048.399987 2
0.2%
185164.400013 1
0.1%
185246.799964 2
0.2%
185454.39996 1
0.1%
185459.999977 2
0.2%
185501.199971 1
0.1%
185619.199963 1
0.1%
185674.799971 2
0.2%
185903.999985 1
0.1%
ValueCountFrequency (%)
230362.399975 1
 
0.1%
209606.799977 1
 
0.1%
209357.999956 1
 
0.1%
209123.200009 3
0.3%
208400.000011 1
 
0.1%
208335.999985 2
0.2%
208275.999995 2
0.2%
208182.799994 1
 
0.1%
208140.400027 1
 
0.1%
208091.200027 2
0.2%

Y좌표
Real number (ℝ)

Distinct536
Distinct (%)57.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449298.24
Minimum299795.2
Maximum463878.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2023-12-11T14:22:24.865469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum299795.2
5-th percentile441379.6
Q1445526.4
median449857.2
Q3452433.2
95-th percentile458633.2
Maximum463878.4
Range164083.2
Interquartile range (IQR)6906.8

Descriptive statistics

Standard deviation6968.3819
Coefficient of variation (CV)0.01550948
Kurtosis226.53214
Mean449298.24
Median Absolute Deviation (MAD)2950.4
Skewness-10.523073
Sum4.1919526 × 108
Variance48558346
MonotonicityNot monotonic
2023-12-11T14:22:25.058689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453400.800002 6
 
0.6%
453552.400004 6
 
0.6%
452915.600001 6
 
0.6%
452386.400002 6
 
0.6%
440957.600002 4
 
0.4%
450335.600005 4
 
0.4%
453141.999999 4
 
0.4%
450240.000001 4
 
0.4%
452603.999996 4
 
0.4%
452311.200004 4
 
0.4%
Other values (526) 885
94.9%
ValueCountFrequency (%)
299795.200002 1
 
0.1%
438834.4 1
 
0.1%
438835.2 1
 
0.1%
438897.600005 2
0.2%
438983.200005 2
0.2%
439672.399997 1
 
0.1%
439744.000004 3
0.3%
440031.999998 1
 
0.1%
440038.799996 1
 
0.1%
440200.799997 2
0.2%
ValueCountFrequency (%)
463878.399997 2
0.2%
463223.600001 1
0.1%
463010.799996 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 2
0.2%

Interactions

2023-12-11T14:22:18.595535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T14:22:18.159103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T14:22:18.819687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T14:22:18.365812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T14:22:25.179279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조사구분(1:상반기,2:하반기)X좌표Y좌표
조사구분(1:상반기,2:하반기)1.0000.1350.000
X좌표0.1351.0000.580
Y좌표0.0000.5801.000
2023-12-11T14:22:25.299791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
X좌표Y좌표조사구분(1:상반기,2:하반기)
X좌표1.0000.4960.144
Y좌표0.4961.0000.013
조사구분(1:상반기,2:하반기)0.1440.0131.000

Missing values

2023-12-11T14:22:19.132682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T14:22:19.456610image/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
02016_1_0001백상빌딩신촌로231(북아현동221-7)20161195722.400023450878.399999
12016_1_0002동아일보사충정로 28-1(충정로3가 58)20161196764.000035451274.400001
22016_1_0003연세의료원(오폐수처리장)연세로 50(신촌동 134 ,연세의료원(오폐수처리장) )20161194958.000001451587.200005
32016_1_0004김진성 ㈜버티고연세로 8-1(창천동 18-58)20161194459.999993450759.199996
42016_1_0005이화여대(ECC관)이화여대길 52(대현동 11-1 ,이화여대20161195607.999989451660.0
52016_1_0006현대백화점신촌로 83(창천동 30-33)20161194331.199986450730.399995
62016_1_0007연세의료원(바이오메디칼센타)대신동 5220161195005.999965451592.800001
72016_1_0008연세대학신촌동 134 ,연세대20161194654.800037451686.800004
82016_1_0009서울여자간호대학간호대로 38(홍제동 287-89)20161195386.399963455334.400003
92016_1_0010그랜드힐튼호텔연희로 353(홍은동 201-1)20161194290.800022454429.600005
관리번호건축물명건축물 위치조사년도조사구분(1:상반기,2:하반기)X좌표Y좌표
9232016_2_0598삼성생명보험서초대로74길 4(서초동 1321-15)20162202272.799966444143.199997
9242016_2_0599(주)KH바텍반포대로 18(서초동 1451-51)20162201126.79999442532.000005
9252016_2_0600우면목욕탕바우뫼로7길 8(우면동 66-2)20162202245.200034441269.600005
9262016_2_0602에이스빌딩 금진호서초대로41길 19(서초동 1720-2 ,지하1층관리실 )20162200655.999961443797.600001
9272016_2_0603류혜식강남대로 369(서초동 1328-3)20162202495.200003444022.799995
9282016_2_0604(주)케이씨씨사평대로 344(서초동 1301-4)20162201839.600019444836.800004
9292016_2_0605엘지전자(주)양재대로11길 19(양재동 221)20162203047.599979440200.799997
9302016_2_0606(주)효성강남대로51길 10, (지하)7층 (서초동 1337-6)20162202589.199965443536.799997
9312016_2_0607국제방송남부순환로 2351(서초동 1467-80)20162200711.600035442187.599996
9322016_2_0610이스트빌딩반포대로 3(서초동 1464-30)20162201090.000025442392.0