Overview

Dataset statistics

Number of variables7
Number of observations767
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.1 KiB
Average record size in memory60.2 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-21113/S/1/datasetView.do

Alerts

조사년도 has constant value ""Constant
X좌표 is highly overall correlated with Y좌표High correlation
Y좌표 is highly overall correlated with X좌표High correlation
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 05:20:03.170636
Analysis finished2023-12-11 05:20:04.771492
Duration1.6 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct767
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T14:20:05.108335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters8437
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

Unique767 ?
Unique (%)100.0%

Sample

1st row2017_1_0001
2nd row2017_1_0002
3rd row2017_1_0003
4th row2017_1_0004
5th row2017_1_0005
ValueCountFrequency (%)
2017_1_0001 1
 
0.1%
2017_2_0147 1
 
0.1%
2017_2_0149 1
 
0.1%
2017_2_0150 1
 
0.1%
2017_2_0151 1
 
0.1%
2017_2_0152 1
 
0.1%
2017_2_0153 1
 
0.1%
2017_2_0154 1
 
0.1%
2017_2_0155 1
 
0.1%
2017_2_0156 1
 
0.1%
Other values (757) 757
98.7%
2023-12-11T14:20:05.806986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1881
22.3%
_ 1534
18.2%
2 1496
17.7%
1 1478
17.5%
7 921
10.9%
3 336
 
4.0%
4 186
 
2.2%
9 154
 
1.8%
6 152
 
1.8%
8 150
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6903
81.8%
Connector Punctuation 1534
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1881
27.2%
2 1496
21.7%
1 1478
21.4%
7 921
13.3%
3 336
 
4.9%
4 186
 
2.7%
9 154
 
2.2%
6 152
 
2.2%
8 150
 
2.2%
5 149
 
2.2%
Connector Punctuation
ValueCountFrequency (%)
_ 1534
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8437
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1881
22.3%
_ 1534
18.2%
2 1496
17.7%
1 1478
17.5%
7 921
10.9%
3 336
 
4.0%
4 186
 
2.2%
9 154
 
1.8%
6 152
 
1.8%
8 150
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8437
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1881
22.3%
_ 1534
18.2%
2 1496
17.7%
1 1478
17.5%
7 921
10.9%
3 336
 
4.0%
4 186
 
2.2%
9 154
 
1.8%
6 152
 
1.8%
8 150
 
1.8%

건축물명
Text

Distinct389
Distinct (%)50.7%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T14:20:06.313197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length7.8878748
Min length3

Characters and Unicode

Total characters6050
Distinct characters385
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)7.8%

Sample

1st row주얼리시티㈜
2nd row(주)메인개발(르미에르빌딩)
3rd row서울대병원(외래암센터)
4th rowThe-K Twin Towers
5th row(주)마스턴제이호위탁관리부동산㈜
ValueCountFrequency (%)
아파트 11
 
1.1%
주)단성사 10
 
1.0%
의과대학장 8
 
0.8%
주)한국투자사모종로플레이스 8
 
0.8%
서울대학교 8
 
0.8%
sk 6
 
0.6%
신축공사 6
 
0.6%
종로청계힐스테이트 6
 
0.6%
흥국생명보험㈜ 6
 
0.6%
오피스텔 5
 
0.5%
Other values (440) 884
92.3%
2023-12-11T14:20:07.026606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
 
3.2%
스 169
 
2.8%
이 128
 
2.1%
트 112
 
1.9%
대 110
 
1.8%
아 110
 
1.8%
리 102
 
1.7%
) 101
 
1.7%
( 99
 
1.6%
타 98
 
1.6%
Other values (375) 4830
79.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5262
87.0%
Uppercase Letter 218
 
3.6%
Space Separator 191
 
3.2%
Close Punctuation 101
 
1.7%
Open Punctuation 99
 
1.6%
Decimal Number 95
 
1.6%
Other Symbol 42
 
0.7%
Lowercase Letter 34
 
0.6%
Dash Punctuation 6
 
0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 169
 
3.2%
이 128
 
2.4%
트 112
 
2.1%
대 110
 
2.1%
아 110
 
2.1%
리 102
 
1.9%
타 98
 
1.9%
사 93
 
1.8%
파 84
 
1.6%
주 77
 
1.5%
Other values (328) 4179
79.4%
Uppercase Letter
ValueCountFrequency (%)
K 38
17.4%
S 32
14.7%
C 26
11.9%
T 23
10.6%
I 16
7.3%
G 11
 
5.0%
E 10
 
4.6%
B 9
 
4.1%
L 8
 
3.7%
A 8
 
3.7%
Other values (12) 37
17.0%
Lowercase Letter
ValueCountFrequency (%)
e 10
29.4%
s 4
 
11.8%
w 4
 
11.8%
t 4
 
11.8%
a 2
 
5.9%
h 2
 
5.9%
i 2
 
5.9%
n 2
 
5.9%
o 2
 
5.9%
r 2
 
5.9%
Decimal Number
ValueCountFrequency (%)
2 32
33.7%
1 30
31.6%
3 8
 
8.4%
0 8
 
8.4%
5 8
 
8.4%
4 4
 
4.2%
7 2
 
2.1%
6 2
 
2.1%
8 1
 
1.1%
Space Separator
ValueCountFrequency (%)
191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5304
87.7%
Common 494
 
8.2%
Latin 252
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 169
 
3.2%
이 128
 
2.4%
트 112
 
2.1%
대 110
 
2.1%
아 110
 
2.1%
리 102
 
1.9%
타 98
 
1.8%
사 93
 
1.8%
파 84
 
1.6%
주 77
 
1.5%
Other values (329) 4221
79.6%
Latin
ValueCountFrequency (%)
K 38
15.1%
S 32
12.7%
C 26
 
10.3%
T 23
 
9.1%
I 16
 
6.3%
G 11
 
4.4%
e 10
 
4.0%
E 10
 
4.0%
B 9
 
3.6%
L 8
 
3.2%
Other values (22) 69
27.4%
Common
ValueCountFrequency (%)
191
38.7%
) 101
20.4%
( 99
20.0%
2 32
 
6.5%
1 30
 
6.1%
3 8
 
1.6%
0 8
 
1.6%
5 8
 
1.6%
- 6
 
1.2%
4 4
 
0.8%
Other values (4) 7
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5262
87.0%
ASCII 746
 
12.3%
None 42
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
25.6%
) 101
13.5%
( 99
13.3%
K 38
 
5.1%
2 32
 
4.3%
S 32
 
4.3%
1 30
 
4.0%
C 26
 
3.5%
T 23
 
3.1%
I 16
 
2.1%
Other values (36) 158
21.2%
Hangul
ValueCountFrequency (%)
스 169
 
3.2%
이 128
 
2.4%
트 112
 
2.1%
대 110
 
2.1%
아 110
 
2.1%
리 102
 
1.9%
타 98
 
1.9%
사 93
 
1.8%
파 84
 
1.6%
주 77
 
1.5%
Other values (328) 4179
79.4%
None
ValueCountFrequency (%)
㈜ 42
100.0%

건축물 위치
Text

Distinct454
Distinct (%)59.2%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2023-12-11T14:20:07.508556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length18.380704
Min length6

Characters and Unicode

Total characters14098
Distinct characters274
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

Unique169 ?
Unique (%)22.0%

Sample

1st row서울특별시 종로구 종로 183(인의동)
2nd row서울특별시 종로구 (청진동)
3rd row서울특별시 종로구 대학로 101(연건동 ,서울대학교병원 )
4th row서울특별시 종로구 종로1길 50(중학동)
5th row서울특별시 종로구 새문안로5길 31(도렴동)
ValueCountFrequency (%)
서울특별시 160
 
6.1%
마포구 136
 
5.2%
종로구 104
 
3.9%
양천구 74
 
2.8%
42
 
1.6%
동대문구 42
 
1.6%
노원구 36
 
1.4%
상암동 32
 
1.2%
목동 30
 
1.1%
목동동로 26
 
1.0%
Other values (677) 1951
74.1%
2023-12-11T14:20:08.273746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1866
 
13.2%
로 874
 
6.2%
동 815
 
5.8%
( 654
 
4.6%
) 650
 
4.6%
1 623
 
4.4%
구 461
 
3.3%
2 434
 
3.1%
3 395
 
2.8%
4 264
 
1.9%
Other values (264) 7062
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7444
52.8%
Decimal Number 3045
21.6%
Space Separator 1866
 
13.2%
Open Punctuation 656
 
4.7%
Close Punctuation 652
 
4.6%
Other Punctuation 226
 
1.6%
Dash Punctuation 173
 
1.2%
Uppercase Letter 36
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 874
 
11.7%
동 815
 
10.9%
구 461
 
6.2%
서 235
 
3.2%
길 177
 
2.4%
울 177
 
2.4%
마 176
 
2.4%
시 169
 
2.3%
대 168
 
2.3%
포 164
 
2.2%
Other values (235) 4028
54.1%
Decimal Number
ValueCountFrequency (%)
1 623
20.5%
2 434
14.3%
3 395
13.0%
4 264
8.7%
6 258
8.5%
5 254
8.3%
0 241
 
7.9%
7 205
 
6.7%
9 192
 
6.3%
8 179
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
B 6
16.7%
S 6
16.7%
G 4
11.1%
D 4
11.1%
K 4
11.1%
A 4
11.1%
C 4
11.1%
L 2
 
5.6%
N 2
 
5.6%
Other Punctuation
ValueCountFrequency (%)
? 114
50.4%
, 108
47.8%
. 2
 
0.9%
/ 2
 
0.9%
Open Punctuation
ValueCountFrequency (%)
( 654
99.7%
[ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 650
99.7%
] 2
 
0.3%
Space Separator
ValueCountFrequency (%)
1866
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7444
52.8%
Common 6618
46.9%
Latin 36
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 874
 
11.7%
동 815
 
10.9%
구 461
 
6.2%
서 235
 
3.2%
길 177
 
2.4%
울 177
 
2.4%
마 176
 
2.4%
시 169
 
2.3%
대 168
 
2.3%
포 164
 
2.2%
Other values (235) 4028
54.1%
Common
ValueCountFrequency (%)
1866
28.2%
( 654
 
9.9%
) 650
 
9.8%
1 623
 
9.4%
2 434
 
6.6%
3 395
 
6.0%
4 264
 
4.0%
6 258
 
3.9%
5 254
 
3.8%
0 241
 
3.6%
Other values (10) 979
14.8%
Latin
ValueCountFrequency (%)
B 6
16.7%
S 6
16.7%
G 4
11.1%
D 4
11.1%
K 4
11.1%
A 4
11.1%
C 4
11.1%
L 2
 
5.6%
N 2
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7444
52.8%
ASCII 6654
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1866
28.0%
( 654
 
9.8%
) 650
 
9.8%
1 623
 
9.4%
2 434
 
6.5%
3 395
 
5.9%
4 264
 
4.0%
6 258
 
3.9%
5 254
 
3.8%
0 241
 
3.6%
Other values (19) 1015
15.3%
Hangul
ValueCountFrequency (%)
로 874
 
11.7%
동 815
 
10.9%
구 461
 
6.2%
서 235
 
3.2%
길 177
 
2.4%
울 177
 
2.4%
마 176
 
2.4%
시 169
 
2.3%
대 168
 
2.3%
포 164
 
2.2%
Other values (235) 4028
54.1%

조사년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2017
767 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2017 767
100.0%

Length

2023-12-11T14:20:08.970940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:20:09.148284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 767
100.0%

조사구분(1:상반기,2:하반기)
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.1 KiB
2
390 
1
377 

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 (%)
2 390
50.8%
1 377
49.2%

Length

2023-12-11T14:20:09.322354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T14:20:09.489204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 390
50.8%
1 377
49.2%

X좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct362
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197198.4
Minimum182594.4
Maximum209358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T14:20:09.718026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182594.4
5-th percentile187995.6
Q1191437.2
median197627.6
Q3202180
95-th percentile206372.8
Maximum209358
Range26763.6
Interquartile range (IQR)10742.8

Descriptive statistics

Standard deviation6207.3219
Coefficient of variation (CV)0.031477548
Kurtosis-1.0365041
Mean197198.4
Median Absolute Deviation (MAD)5100.8
Skewness-0.064221654
Sum1.5125117 × 108
Variance38530846
MonotonicityNot monotonic
2023-12-11T14:20:09.949530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199338.8 10
 
1.3%
199954.0 8
 
1.0%
199854.8 8
 
1.0%
190195.2 6
 
0.8%
201868.4 6
 
0.8%
197552.0 6
 
0.8%
198356.0 4
 
0.5%
196252.4 4
 
0.5%
206372.8 4
 
0.5%
197632.8 4
 
0.5%
Other values (352) 707
92.2%
ValueCountFrequency (%)
182594.4 2
0.3%
185052.0 2
0.3%
185249.2 2
0.3%
185454.0 2
0.3%
185618.4 2
0.3%
185674.8 2
0.3%
185894.0 2
0.3%
185904.0 2
0.3%
186023.2 2
0.3%
186030.0 2
0.3%
ValueCountFrequency (%)
209358.0 2
0.3%
209123.2 4
0.5%
208332.4 2
0.3%
208278.4 2
0.3%
208205.2 2
0.3%
208146.0 2
0.3%
207993.2 2
0.3%
207987.6 2
0.3%
207971.2 2
0.3%
207412.4 2
0.3%

Y좌표
Real number (ℝ)

HIGH CORRELATION 

Distinct358
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451551.91
Minimum440669.2
Maximum463878.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.9 KiB
2023-12-11T14:20:10.181083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440669.2
5-th percentile444364.76
Q1448995.2
median451608
Q3453289.6
95-th percentile459944.8
Maximum463878.4
Range23209.2
Interquartile range (IQR)4294.4

Descriptive statistics

Standard deviation4242.7525
Coefficient of variation (CV)0.0093959351
Kurtosis0.42997545
Mean451551.91
Median Absolute Deviation (MAD)1999.2
Skewness0.33488443
Sum3.4634032 × 108
Variance18000949
MonotonicityNot monotonic
2023-12-11T14:20:10.384341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452381.6 10
 
1.3%
453464.4 8
 
1.0%
452621.6 8
 
1.0%
452942.8 6
 
0.8%
453395.2 6
 
0.8%
452243.6 6
 
0.8%
458633.2 4
 
0.5%
452311.6 4
 
0.5%
447143.2 4
 
0.5%
450239.2 4
 
0.5%
Other values (348) 707
92.2%
ValueCountFrequency (%)
440669.2 2
0.3%
440894.0 2
0.3%
441245.6 2
0.3%
441555.2 1
0.1%
441647.6 2
0.3%
442085.2 2
0.3%
442567.6 2
0.3%
442692.0 2
0.3%
442726.4 2
0.3%
443634.4 2
0.3%
ValueCountFrequency (%)
463878.4 2
0.3%
463223.6 2
0.3%
463086.0 2
0.3%
462446.8 2
0.3%
462365.2 2
0.3%
462352.8 2
0.3%
461651.6 2
0.3%
461627.2 2
0.3%
460644.0 4
0.5%
460370.0 2
0.3%

Interactions

2023-12-11T14:20:04.196938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T14:20:03.870041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T14:20:04.342853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T14:20:04.075895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T14:20:10.649320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조사구분(1:상반기,2:하반기)X좌표Y좌표
조사구분(1:상반기,2:하반기)1.0000.0000.000
X좌표0.0001.0000.766
Y좌표0.0000.7661.000
2023-12-11T14:20:11.047968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
X좌표Y좌표조사구분(1:상반기,2:하반기)
X좌표1.0000.5540.000
Y좌표0.5541.0000.000
조사구분(1:상반기,2:하반기)0.0000.0001.000

Missing values

2023-12-11T14:20:04.517453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T14:20:04.690446image/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
02017_1_0001주얼리시티㈜서울특별시 종로구 종로 183(인의동)20171199882.4452438.0
12017_1_0002(주)메인개발(르미에르빌딩)서울특별시 종로구 (청진동)20171198246.8452433.2
22017_1_0003서울대병원(외래암센터)서울특별시 종로구 대학로 101(연건동 ,서울대학교병원 )20171199893.6453289.6
32017_1_0004The-K Twin Towers서울특별시 종로구 종로1길 50(중학동)20171198171.2452801.6
42017_1_0005(주)마스턴제이호위탁관리부동산㈜서울특별시 종로구 새문안로5길 31(도렴동)20171197730.0452611.6
52017_1_0007(주)청하고려인삼서울특별시 종로구 자하문로 280(부암동, 금박B/D)20171196624.4455464.4
62017_1_0008운현궁 SK허브 운영위원회서울특별시 종로구 삼일대로 461(경운동)20171198728.4452909.6
72017_1_0009운현궁 SK허브 운영위원회서울특별시 종로구 삼일대로 461(경운동)20171198728.4452909.6
82017_1_0010(주)단성사서울특별시 종로구 돈화문로 26(묘동)20171199338.8452381.6
92017_1_0011(주)단성사서울특별시 종로구 돈화문로 26(묘동)20171199338.8452381.6
관리번호건축물명건축물 위치조사년도조사구분(1:상반기,2:하반기)X좌표Y좌표
7572017_2_0412신도림테크노마트새말로 97(구로동)20172190302.4445283.6
7582017_2_0413㈜대명건설(구로구지식산업센터신축공사)구로동614-5020172188888.8444878.4
7592017_2_0414백상스타타워II금천구 가산동 459-22,가산디지털2로 165 ?(가산동)20172189162.4442567.6
7602017_2_0415에이스 하이엔드 7차금천구 가산동 345-33,가산디지털2로 67 ?(가산동)20172189487.6441647.6
7612017_2_0416엘지전자(주)금천구 가산동 327-23,가산디지털1로 51 ?(가산동)20172189843.6441245.6
7622017_2_0417롯데정보통신(주)금천구 가산동 533-2,가산디지털2로 179 ?(가산동)20172189091.2442692.0
7632017_2_0418재능유통서울 금천구 서부샛길 29620172189871.6440894.0
7642017_2_0419에이스하이앤드 3차금천구 가산동 371-50,가산디지털1로 145 ?(가산동)20172189536.8442085.2
7652017_2_0420디지털엠파이어입주자대표금천구 가산동 685, 범안로 1130 ?(가산동)20172190048.0440669.2
7662017_2_0422에하8차고객지원센터금천구 가산디지털1로 8420172189867.2441555.2