Overview

Dataset statistics

Number of variables7
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory61.9 B

Variable types

Numeric3
Text3
DateTime1

Dataset

Description광진구 소독업소에 대한 데이터로 업소명, 소재지, 전화번호 등의 항목을 제공합니다. 그 외 문의사항은 보건소로 연락 바랍니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15036304/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique
소독업소명칭 has unique valuesUnique
사무실소재지(도로명) has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:41:21.447986
Analysis finished2023-12-12 01:41:22.905953
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T10:41:22.983112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2023-12-12T10:41:23.149198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 1
 
2.2%
36 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
34 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%

소독업소명칭
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T10:41:23.510896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length7.6086957
Min length3

Characters and Unicode

Total characters350
Distinct characters130
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row크린대장
2nd row주식회사 청소중대장
3rd row(주)크린매직
4th row(주)더블루피엠씨
5th row정립장애인보호작업장
ValueCountFrequency (%)
주식회사 4
 
7.7%
크린대장 1
 
1.9%
이한위생방역공사 1
 
1.9%
시원방역 1
 
1.9%
럭키시스템(주 1
 
1.9%
에스이엠서비스(주 1
 
1.9%
주)제일크린 1
 
1.9%
힐스(heals 1
 
1.9%
경수기업사 1
 
1.9%
주)청앤정코리아 1
 
1.9%
Other values (39) 39
75.0%
2023-12-12T10:41:23.965015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
 
7.7%
( 24
 
6.9%
) 24
 
6.9%
스 14
 
4.0%
린 9
 
2.6%
사 8
 
2.3%
크 7
 
2.0%
경 7
 
2.0%
서 7
 
2.0%
이 6
 
1.7%
Other values (120) 217
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 288
82.3%
Open Punctuation 24
 
6.9%
Close Punctuation 24
 
6.9%
Uppercase Letter 8
 
2.3%
Space Separator 6
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
9.4%
스 14
 
4.9%
린 9
 
3.1%
사 8
 
2.8%
크 7
 
2.4%
경 7
 
2.4%
서 7
 
2.4%
이 6
 
2.1%
환 6
 
2.1%
에 5
 
1.7%
Other values (110) 192
66.7%
Uppercase Letter
ValueCountFrequency (%)
E 2
25.0%
H 1
12.5%
L 1
12.5%
A 1
12.5%
S 1
12.5%
G 1
12.5%
N 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 288
82.3%
Common 54
 
15.4%
Latin 8
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
9.4%
스 14
 
4.9%
린 9
 
3.1%
사 8
 
2.8%
크 7
 
2.4%
경 7
 
2.4%
서 7
 
2.4%
이 6
 
2.1%
환 6
 
2.1%
에 5
 
1.7%
Other values (110) 192
66.7%
Latin
ValueCountFrequency (%)
E 2
25.0%
H 1
12.5%
L 1
12.5%
A 1
12.5%
S 1
12.5%
G 1
12.5%
N 1
12.5%
Common
ValueCountFrequency (%)
( 24
44.4%
) 24
44.4%
6
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 288
82.3%
ASCII 62
 
17.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
 
9.4%
스 14
 
4.9%
린 9
 
3.1%
사 8
 
2.8%
크 7
 
2.4%
경 7
 
2.4%
서 7
 
2.4%
이 6
 
2.1%
환 6
 
2.1%
에 5
 
1.7%
Other values (110) 192
66.7%
ASCII
ValueCountFrequency (%)
( 24
38.7%
) 24
38.7%
6
 
9.7%
E 2
 
3.2%
H 1
 
1.6%
L 1
 
1.6%
A 1
 
1.6%
S 1
 
1.6%
G 1
 
1.6%
N 1
 
1.6%

사무실소재지(도로명)
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T10:41:24.351769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length30.434783
Min length22

Characters and Unicode

Total characters1400
Distinct characters95
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 긴고랑로8길 12 (중곡동)
2nd row서울특별시 광진구 군자로12길 46, 1층 (군자동, 일성파크아파트)
3rd row서울특별시 광진구 긴고랑로1길 80 (중곡동)
4th row서울특별시 광진구 아차산로 353, 705호 (자양동, 금강태극빌)
5th row서울특별시 광진구 워커힐로 93, 2층 (구의동, 정립회관)
ValueCountFrequency (%)
서울특별시 46
 
16.7%
광진구 46
 
16.7%
자양동 12
 
4.3%
중곡동 12
 
4.3%
구의동 9
 
3.3%
1층 8
 
2.9%
3층 4
 
1.4%
천호대로 4
 
1.4%
군자동 4
 
1.4%
2층 3
 
1.1%
Other values (104) 128
46.4%
2023-12-12T10:41:24.950895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231
 
16.5%
구 56
 
4.0%
광 53
 
3.8%
동 52
 
3.7%
( 48
 
3.4%
) 48
 
3.4%
1 48
 
3.4%
진 47
 
3.4%
시 46
 
3.3%
별 46
 
3.3%
Other values (85) 725
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 805
57.5%
Space Separator 231
 
16.5%
Decimal Number 221
 
15.8%
Open Punctuation 48
 
3.4%
Close Punctuation 48
 
3.4%
Other Punctuation 38
 
2.7%
Dash Punctuation 9
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 56
 
7.0%
광 53
 
6.6%
동 52
 
6.5%
진 47
 
5.8%
시 46
 
5.7%
별 46
 
5.7%
특 46
 
5.7%
울 46
 
5.7%
서 46
 
5.7%
로 45
 
5.6%
Other values (70) 322
40.0%
Decimal Number
ValueCountFrequency (%)
1 48
21.7%
5 30
13.6%
3 23
10.4%
2 22
10.0%
6 20
9.0%
8 19
 
8.6%
4 18
 
8.1%
0 18
 
8.1%
9 12
 
5.4%
7 11
 
5.0%
Space Separator
ValueCountFrequency (%)
231
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 805
57.5%
Common 595
42.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 56
 
7.0%
광 53
 
6.6%
동 52
 
6.5%
진 47
 
5.8%
시 46
 
5.7%
별 46
 
5.7%
특 46
 
5.7%
울 46
 
5.7%
서 46
 
5.7%
로 45
 
5.6%
Other values (70) 322
40.0%
Common
ValueCountFrequency (%)
231
38.8%
( 48
 
8.1%
) 48
 
8.1%
1 48
 
8.1%
, 38
 
6.4%
5 30
 
5.0%
3 23
 
3.9%
2 22
 
3.7%
6 20
 
3.4%
8 19
 
3.2%
Other values (5) 68
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 805
57.5%
ASCII 595
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231
38.8%
( 48
 
8.1%
) 48
 
8.1%
1 48
 
8.1%
, 38
 
6.4%
5 30
 
5.0%
3 23
 
3.9%
2 22
 
3.7%
6 20
 
3.4%
8 19
 
3.2%
Other values (5) 68
 
11.4%
Hangul
ValueCountFrequency (%)
구 56
 
7.0%
광 53
 
6.6%
동 52
 
6.5%
진 47
 
5.8%
시 46
 
5.7%
별 46
 
5.7%
특 46
 
5.7%
울 46
 
5.7%
서 46
 
5.7%
로 45
 
5.6%
Other values (70) 322
40.0%

전화번호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T10:41:25.258650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.152174
Min length9

Characters and Unicode

Total characters513
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

Unique46 ?
Unique (%)100.0%

Sample

1st row1899-2979
2nd row1566-6415
3rd row02-434-8800
4th row02-2444-4600
5th row02-454-5505
ValueCountFrequency (%)
1899-2979 1
 
2.2%
02-479-3664 1
 
2.2%
02-461-2201 1
 
2.2%
02-3424-5831 1
 
2.2%
02-3437-1683 1
 
2.2%
02-2201-3110 1
 
2.2%
02-419-8119 1
 
2.2%
02-458-1230 1
 
2.2%
02-416-9632 1
 
2.2%
02-3436-3700 1
 
2.2%
Other values (36) 36
78.3%
2023-12-12T10:41:25.762006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 85
16.6%
0 72
14.0%
2 71
13.8%
4 54
10.5%
6 39
7.6%
1 38
7.4%
3 38
7.4%
5 34
 
6.6%
7 33
 
6.4%
9 28
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 428
83.4%
Dash Punctuation 85
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 72
16.8%
2 71
16.6%
4 54
12.6%
6 39
9.1%
1 38
8.9%
3 38
8.9%
5 34
7.9%
7 33
7.7%
9 28
 
6.5%
8 21
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 513
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 85
16.6%
0 72
14.0%
2 71
13.8%
4 54
10.5%
6 39
7.6%
1 38
7.4%
3 38
7.4%
5 34
 
6.6%
7 33
 
6.4%
9 28
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 513
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 85
16.6%
0 72
14.0%
2 71
13.8%
4 54
10.5%
6 39
7.6%
1 38
7.4%
3 38
7.4%
5 34
 
6.6%
7 33
 
6.4%
9 28
 
5.5%

위도
Real number (ℝ)

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.54681
Minimum37.527994
Maximum37.570157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T10:41:25.974151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.527994
5-th percentile37.530991
Q137.534937
median37.547269
Q337.556475
95-th percentile37.568569
Maximum37.570157
Range0.0421627
Interquartile range (IQR)0.021537475

Descriptive statistics

Standard deviation0.013068982
Coefficient of variation (CV)0.00034807171
Kurtosis-1.3514647
Mean37.54681
Median Absolute Deviation (MAD)0.01230935
Skewness0.2670767
Sum1727.1533
Variance0.0001707983
MonotonicityNot monotonic
2023-12-12T10:41:26.156714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
37.5349372 3
 
6.5%
37.5628065 1
 
2.2%
37.5313909 1
 
2.2%
37.5279941 1
 
2.2%
37.5701568 1
 
2.2%
37.531546 1
 
2.2%
37.5331761 1
 
2.2%
37.5356137 1
 
2.2%
37.5349813 1
 
2.2%
37.5550262 1
 
2.2%
Other values (34) 34
73.9%
ValueCountFrequency (%)
37.5279941 1
2.2%
37.5307046 1
2.2%
37.5308583 1
2.2%
37.5313909 1
2.2%
37.5314939 1
2.2%
37.531546 1
2.2%
37.5327078 1
2.2%
37.5331761 1
2.2%
37.5335606 1
2.2%
37.5338686 1
2.2%
ValueCountFrequency (%)
37.5701568 1
2.2%
37.569295 1
2.2%
37.568994 1
2.2%
37.5672959 1
2.2%
37.5669313 1
2.2%
37.5630345 1
2.2%
37.5628065 1
2.2%
37.5622252 1
2.2%
37.5602977 1
2.2%
37.5596979 1
2.2%

경도
Real number (ℝ)

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.08379
Minimum127.06379
Maximum127.10838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T10:41:26.347868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.06379
5-th percentile127.07071
Q1127.07829
median127.08327
Q3127.08901
95-th percentile127.09697
Maximum127.10838
Range0.0445915
Interquartile range (IQR)0.010716425

Descriptive statistics

Standard deviation0.0093092753
Coefficient of variation (CV)7.325305 × 10-5
Kurtosis0.69643804
Mean127.08379
Median Absolute Deviation (MAD)0.0055237
Skewness0.54638207
Sum5845.8544
Variance8.6662607 × 10-5
MonotonicityNot monotonic
2023-12-12T10:41:26.522012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
127.0957088 3
 
6.5%
127.0786832 1
 
2.2%
127.0811494 1
 
2.2%
127.0853387 1
 
2.2%
127.0833709 1
 
2.2%
127.0757324 1
 
2.2%
127.0853523 1
 
2.2%
127.089577 1
 
2.2%
127.070053 1
 
2.2%
127.0872934 1
 
2.2%
Other values (34) 34
73.9%
ValueCountFrequency (%)
127.0637895 1
2.2%
127.0670995 1
2.2%
127.070053 1
2.2%
127.0726711 1
2.2%
127.0729429 1
2.2%
127.075185 1
2.2%
127.0757324 1
2.2%
127.0761564 1
2.2%
127.0763786 1
2.2%
127.07642 1
2.2%
ValueCountFrequency (%)
127.108381 1
 
2.2%
127.107701 1
 
2.2%
127.0973857 1
 
2.2%
127.0957088 3
6.5%
127.0954227 1
 
2.2%
127.0938905 1
 
2.2%
127.093371 1
 
2.2%
127.0903374 1
 
2.2%
127.0895793 1
 
2.2%
127.089577 1
 
2.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2022-01-20 00:00:00
Maximum2022-01-20 00:00:00
2023-12-12T10:41:26.667050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:41:26.772518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T10:41:22.469924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:41:21.745883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:41:22.244407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:41:22.555513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:41:21.819083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:41:22.319748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:41:22.631394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:41:22.171957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:41:22.394357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:41:26.874170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번소독업소명칭사무실소재지(도로명)전화번호위도경도
순번1.0001.0001.0001.0000.2590.356
소독업소명칭1.0001.0001.0001.0001.0001.000
사무실소재지(도로명)1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도0.2591.0001.0001.0001.0000.596
경도0.3561.0001.0001.0000.5961.000
2023-12-12T10:41:26.987571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.000-0.0940.228
위도-0.0941.000-0.023
경도0.228-0.0231.000

Missing values

2023-12-12T10:41:22.737425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:41:22.857877image/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

순번소독업소명칭사무실소재지(도로명)전화번호위도경도데이터기준일자
01크린대장서울특별시 광진구 긴고랑로8길 12 (중곡동)1899-297937.562807127.0786832022-01-20
12주식회사 청소중대장서울특별시 광진구 군자로12길 46, 1층 (군자동, 일성파크아파트)1566-641537.551252127.0726712022-01-20
23(주)크린매직서울특별시 광진구 긴고랑로1길 80 (중곡동)02-434-880037.567296127.0791942022-01-20
34(주)더블루피엠씨서울특별시 광진구 아차산로 353, 705호 (자양동, 금강태극빌)02-2444-460037.537178127.0820852022-01-20
45정립장애인보호작업장서울특별시 광진구 워커힐로 93, 2층 (구의동, 정립회관)02-454-550537.551358127.0973862022-01-20
56서울광진지역자활센터서울특별시 광진구 자양로19길 70, 1층 (자양동)02-499-837337.538405127.0797172022-01-20
67(주)씨토스템서울특별시 광진구 군자로 166-1 (군자동)02-2464-577637.555531127.077342022-01-20
78크린방역서울특별시 광진구 면목로11길 25, 1층 (중곡동)1600-076937.566931127.0802812022-01-20
89자바드림서울특별시 광진구 뚝섬로66길 7 (구의동)070-7847-476537.533561127.0903372022-01-20
910(주)휴먼에코랩서울특별시 광진구 광나루로56길 85, 테크노-마트21 19층 01호 (구의동)1599-258237.534937127.0957092022-01-20
순번소독업소명칭사무실소재지(도로명)전화번호위도경도데이터기준일자
3637호성안전(주)서울특별시 광진구 뚝섬로 646, 301호 3층 (자양동)02-796-949037.531391127.0811492022-01-20
3738한국환경정화(주)서울특별시 광진구 자양로22길 58, 1층 (구의동)02-3437-659537.539619127.0864972022-01-20
3839(주)진도프로인서울특별시 광진구 답십리로84길 41, 2층 (중곡동)02-439-552637.569295127.0837842022-01-20
3940삼정화학ENG서울특별시 광진구 천호대로 670 (구의동,(509호))02-454-919837.551057127.0895792022-01-20
4041(주)크린피스서울특별시 광진구 아차산로 78-44 (광장동, 현대골든텔3 305호)02-3436-115537.550717127.1077012022-01-20
4142성지토탈서비스(주)서울특별시 광진구 자양번영로 50 (자양동)02-3436-346037.533869127.0761562022-01-20
4243스메코방제서울특별시 광진구 긴고랑로46길 11-3 (중곡동)02-453-897237.560298127.0954232022-01-20
4344대원종합개발서울특별시 광진구 긴고랑로8길 8 (중곡동)02-466-203037.563035127.07882022-01-20
4445럭키시스템(주)서울특별시 광진구 아차산로 375 (구의동)02-461-220137.537047127.0843552022-01-20
4546서울방역공사서울특별시 광진구 천호대로 618, 삼화빌딩 305호 (능동)02-452-251137.554263127.0859412022-01-20