Overview

Dataset statistics

Number of variables8
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory71.1 B

Variable types

Text4
Categorical1
Numeric2
DateTime1

Dataset

Description서울시 도봉구에 위치한 건축사사무소 현황데이터 (사무소명, 주소, 전화번호 등)
Author서울특별시 도봉구
URLhttps://www.data.go.kr/data/15028105/fileData.do

Alerts

기준일 has constant value ""Constant
위도 is highly overall correlated with 동구분High correlation
경도 is highly overall correlated with 동구분High correlation
동구분 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
건축사사무소명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:10:42.526632
Analysis finished2023-12-12 08:10:43.422227
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축사사무소명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T17:10:43.567986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length3.3461538
Min length1

Characters and Unicode

Total characters87
Distinct characters54
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row다듬
2nd row주안
3rd row장우
4th row수
5th row도운
ValueCountFrequency (%)
다듬 1
 
3.7%
필레스 1
 
3.7%
㈜뱅크 1
 
3.7%
선율 1
 
3.7%
안옥 1
 
3.7%
건축사사무소 1
 
3.7%
이레로 1
 
3.7%
㈜대한도시종합 1
 
3.7%
한집 1
 
3.7%
그룹영 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T17:10:43.951046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
종 6
 
6.9%
합 6
 
6.9%
스 3
 
3.4%
주 3
 
3.4%
건 3
 
3.4%
다 2
 
2.3%
룹 2
 
2.3%
그 2
 
2.3%
인 2
 
2.3%
영 2
 
2.3%
Other values (44) 56
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80
92.0%
Other Symbol 2
 
2.3%
Open Punctuation 2
 
2.3%
Close Punctuation 2
 
2.3%
Space Separator 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 6
 
7.5%
합 6
 
7.5%
스 3
 
3.8%
주 3
 
3.8%
건 3
 
3.8%
다 2
 
2.5%
룹 2
 
2.5%
그 2
 
2.5%
인 2
 
2.5%
영 2
 
2.5%
Other values (40) 49
61.3%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 82
94.3%
Common 5
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 6
 
7.3%
합 6
 
7.3%
스 3
 
3.7%
주 3
 
3.7%
건 3
 
3.7%
다 2
 
2.4%
룹 2
 
2.4%
그 2
 
2.4%
인 2
 
2.4%
영 2
 
2.4%
Other values (41) 51
62.2%
Common
ValueCountFrequency (%)
( 2
40.0%
) 2
40.0%
1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80
92.0%
ASCII 5
 
5.7%
None 2
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
종 6
 
7.5%
합 6
 
7.5%
스 3
 
3.8%
주 3
 
3.8%
건 3
 
3.8%
다 2
 
2.5%
룹 2
 
2.5%
그 2
 
2.5%
인 2
 
2.5%
영 2
 
2.5%
Other values (40) 49
61.3%
None
ValueCountFrequency (%)
㈜ 2
100.0%
ASCII
ValueCountFrequency (%)
( 2
40.0%
) 2
40.0%
1
20.0%

동구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size340.0 B
방학동
9 
창동
7 
쌍문동
5 
도봉동
5 

Length

Max length3
Median length3
Mean length2.7307692
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row창동
2nd row쌍문동
3rd row쌍문동
4th row방학동
5th row도봉동

Common Values

ValueCountFrequency (%)
방학동 9
34.6%
창동 7
26.9%
쌍문동 5
19.2%
도봉동 5
19.2%

Length

2023-12-12T17:10:44.081250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:10:44.211340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방학동 9
34.6%
창동 7
26.9%
쌍문동 5
19.2%
도봉동 5
19.2%

주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T17:10:44.413148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length26
Mean length16.923077
Min length11

Characters and Unicode

Total characters440
Distinct characters67
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row도봉구 노해로 379
2nd row도봉구 해등로 180
3rd row도봉구 해등로 174
4th row도봉구 도봉로152길 26
5th row도봉구 마들로 672
ValueCountFrequency (%)
도봉구 26
27.1%
마들로 5
 
5.2%
664-5 3
 
3.1%
방학로 3
 
3.1%
379 2
 
2.1%
해등로 2
 
2.1%
도봉로152길 2
 
2.1%
노해로 2
 
2.1%
도봉그랜드타워 2
 
2.1%
도당로 2
 
2.1%
Other values (47) 47
49.0%
2023-12-12T17:10:44.834655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
16.1%
도 36
 
8.2%
봉 33
 
7.5%
구 26
 
5.9%
로 26
 
5.9%
1 23
 
5.2%
6 20
 
4.5%
2 18
 
4.1%
3 13
 
3.0%
0 13
 
3.0%
Other values (57) 161
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 227
51.6%
Decimal Number 131
29.8%
Space Separator 71
 
16.1%
Dash Punctuation 6
 
1.4%
Close Punctuation 2
 
0.5%
Open Punctuation 2
 
0.5%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 36
15.9%
봉 33
14.5%
구 26
 
11.5%
로 26
 
11.5%
길 10
 
4.4%
해 8
 
3.5%
호 7
 
3.1%
마 5
 
2.2%
들 5
 
2.2%
노 5
 
2.2%
Other values (42) 66
29.1%
Decimal Number
ValueCountFrequency (%)
1 23
17.6%
6 20
15.3%
2 18
13.7%
3 13
9.9%
0 13
9.9%
4 13
9.9%
5 13
9.9%
7 9
 
6.9%
9 7
 
5.3%
8 2
 
1.5%
Space Separator
ValueCountFrequency (%)
71
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 227
51.6%
Common 212
48.2%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 36
15.9%
봉 33
14.5%
구 26
 
11.5%
로 26
 
11.5%
길 10
 
4.4%
해 8
 
3.5%
호 7
 
3.1%
마 5
 
2.2%
들 5
 
2.2%
노 5
 
2.2%
Other values (42) 66
29.1%
Common
ValueCountFrequency (%)
71
33.5%
1 23
 
10.8%
6 20
 
9.4%
2 18
 
8.5%
3 13
 
6.1%
0 13
 
6.1%
4 13
 
6.1%
5 13
 
6.1%
7 9
 
4.2%
9 7
 
3.3%
Other values (4) 12
 
5.7%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 227
51.6%
ASCII 213
48.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
33.3%
1 23
 
10.8%
6 20
 
9.4%
2 18
 
8.5%
3 13
 
6.1%
0 13
 
6.1%
4 13
 
6.1%
5 13
 
6.1%
7 9
 
4.2%
9 7
 
3.3%
Other values (5) 13
 
6.1%
Hangul
ValueCountFrequency (%)
도 36
15.9%
봉 33
14.5%
구 26
 
11.5%
로 26
 
11.5%
길 10
 
4.4%
해 8
 
3.5%
호 7
 
3.1%
마 5
 
2.2%
들 5
 
2.2%
노 5
 
2.2%
Other values (42) 66
29.1%

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T17:10:45.095922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.346154
Min length11

Characters and Unicode

Total characters295
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

Unique26 ?
Unique (%)100.0%

Sample

1st row02-990-0123
2nd row02-990-4492
3rd row02-903-0549
4th row02-3494-3323
5th row02-3494-3221
ValueCountFrequency (%)
02-990-0123 1
 
3.8%
02-990-4492 1
 
3.8%
02-557-7263 1
 
3.8%
02-904-3604 1
 
3.8%
02-956-6951 1
 
3.8%
02-420-0792 1
 
3.8%
02-540-1334 1
 
3.8%
02-3494-4647 1
 
3.8%
02-998-1010 1
 
3.8%
02-3492-2391 1
 
3.8%
Other values (16) 16
61.5%
2023-12-12T17:10:45.531234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
17.6%
0 46
15.6%
2 45
15.3%
9 37
12.5%
4 31
10.5%
3 27
9.2%
5 18
 
6.1%
1 12
 
4.1%
6 10
 
3.4%
7 9
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 243
82.4%
Dash Punctuation 52
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
18.9%
2 45
18.5%
9 37
15.2%
4 31
12.8%
3 27
11.1%
5 18
 
7.4%
1 12
 
4.9%
6 10
 
4.1%
7 9
 
3.7%
8 8
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 295
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
17.6%
0 46
15.6%
2 45
15.3%
9 37
12.5%
4 31
10.5%
3 27
9.2%
5 18
 
6.1%
1 12
 
4.1%
6 10
 
3.4%
7 9
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
17.6%
0 46
15.6%
2 45
15.3%
9 37
12.5%
4 31
10.5%
3 27
9.2%
5 18
 
6.1%
1 12
 
4.1%
6 10
 
3.4%
7 9
 
3.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.659861
Minimum37.64193
Maximum37.670099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T17:10:45.712410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.64193
5-th percentile37.646981
Q137.652524
median37.661001
Q337.668692
95-th percentile37.669573
Maximum37.670099
Range0.0281691
Interquartile range (IQR)0.016168575

Descriptive statistics

Standard deviation0.0084782328
Coefficient of variation (CV)0.0002251265
Kurtosis-1.017926
Mean37.659861
Median Absolute Deviation (MAD)0.00820425
Skewness-0.36777033
Sum979.15639
Variance7.1880431 × 10-5
MonotonicityNot monotonic
2023-12-12T17:10:45.859179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
37.6694395 3
 
11.5%
37.6524368 2
 
7.7%
37.655814 1
 
3.8%
37.6696175 1
 
3.8%
37.6523864 1
 
3.8%
37.64193 1
 
3.8%
37.6478375 1
 
3.8%
37.6527842 1
 
3.8%
37.6670609 1
 
3.8%
37.6606485 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
37.64193 1
3.8%
37.646696 1
3.8%
37.6478375 1
3.8%
37.6504979 1
3.8%
37.6523864 1
3.8%
37.6524368 2
7.7%
37.6527842 1
3.8%
37.6549281 1
3.8%
37.655814 1
3.8%
37.6574786 1
3.8%
ValueCountFrequency (%)
37.6700991 1
 
3.8%
37.6696175 1
 
3.8%
37.6694395 3
11.5%
37.6691927 1
 
3.8%
37.6690533 1
 
3.8%
37.667609 1
 
3.8%
37.6670609 1
 
3.8%
37.6645784 1
 
3.8%
37.6630265 1
 
3.8%
37.6628657 1
 
3.8%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.04081
Minimum127.02572
Maximum127.05024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T17:10:46.024474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.02572
5-th percentile127.0278
Q1127.03617
median127.04115
Q3127.0468
95-th percentile127.05018
Maximum127.05024
Range0.0245233
Interquartile range (IQR)0.010634

Descriptive statistics

Standard deviation0.0072242491
Coefficient of variation (CV)5.686558 × 10-5
Kurtosis-0.65473925
Mean127.04081
Median Absolute Deviation (MAD)0.00547115
Skewness-0.47339077
Sum3303.061
Variance5.2189775 × 10-5
MonotonicityNot monotonic
2023-12-12T17:10:46.181586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
127.0468148 3
 
11.5%
127.0502404 2
 
7.7%
127.0368028 1
 
3.8%
127.0467615 1
 
3.8%
127.0500144 1
 
3.8%
127.0403417 1
 
3.8%
127.0347482 1
 
3.8%
127.0499606 1
 
3.8%
127.039829 1
 
3.8%
127.0291807 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
127.0257171 1
3.8%
127.0273354 1
3.8%
127.0291807 1
3.8%
127.0329964 1
3.8%
127.0347482 1
3.8%
127.0359347 1
3.8%
127.0359557 1
3.8%
127.0368028 1
3.8%
127.036838 1
3.8%
127.037518 1
3.8%
ValueCountFrequency (%)
127.0502404 2
7.7%
127.0500144 1
 
3.8%
127.0499606 1
 
3.8%
127.0468148 3
11.5%
127.0467615 1
 
3.8%
127.0464878 1
 
3.8%
127.0452616 1
 
3.8%
127.0447352 1
 
3.8%
127.0433216 1
 
3.8%
127.0419653 1
 
3.8%

대표자
Text

Distinct16
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T17:10:46.361296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.9615385
Min length3

Characters and Unicode

Total characters103
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)34.6%

Sample

1st row이 00
2nd row장 00
3rd row장 00
4th row조 00
5th row유 00
ValueCountFrequency (%)
00 24
46.2%
이 4
 
7.7%
김 4
 
7.7%
장 2
 
3.8%
조 2
 
3.8%
유 2
 
3.8%
심 2
 
3.8%
정 2
 
3.8%
0 2
 
3.8%
박 1
 
1.9%
Other values (7) 7
 
13.5%
2023-12-12T17:10:46.719407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 50
48.5%
27
26.2%
이 4
 
3.9%
김 4
 
3.9%
유 2
 
1.9%
심 2
 
1.9%
정 2
 
1.9%
조 2
 
1.9%
장 2
 
1.9%
노 1
 
1.0%
Other values (7) 7
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50
48.5%
Space Separator 27
26.2%
Other Letter 26
25.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4
15.4%
김 4
15.4%
유 2
 
7.7%
심 2
 
7.7%
정 2
 
7.7%
조 2
 
7.7%
장 2
 
7.7%
노 1
 
3.8%
고 1
 
3.8%
연 1
 
3.8%
Other values (5) 5
19.2%
Decimal Number
ValueCountFrequency (%)
0 50
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 77
74.8%
Hangul 26
 
25.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4
15.4%
김 4
15.4%
유 2
 
7.7%
심 2
 
7.7%
정 2
 
7.7%
조 2
 
7.7%
장 2
 
7.7%
노 1
 
3.8%
고 1
 
3.8%
연 1
 
3.8%
Other values (5) 5
19.2%
Common
ValueCountFrequency (%)
0 50
64.9%
27
35.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 77
74.8%
Hangul 26
 
25.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 50
64.9%
27
35.1%
Hangul
ValueCountFrequency (%)
이 4
15.4%
김 4
15.4%
유 2
 
7.7%
심 2
 
7.7%
정 2
 
7.7%
조 2
 
7.7%
장 2
 
7.7%
노 1
 
3.8%
고 1
 
3.8%
연 1
 
3.8%
Other values (5) 5
19.2%

기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-01-01 00:00:00
Maximum2018-01-01 00:00:00
2023-12-12T17:10:46.866399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:10:46.991209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T17:10:43.008562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:10:42.828903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:10:43.091628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:10:42.912966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:10:47.074871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건축사사무소명동구분주소전화번호위도경도대표자
건축사사무소명1.0001.0001.0001.0001.0001.0001.000
동구분1.0001.0001.0001.0000.8450.8800.758
주소1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
위도1.0000.8451.0001.0001.0000.9360.856
경도1.0000.8801.0001.0000.9361.0000.741
대표자1.0000.7581.0001.0000.8560.7411.000
2023-12-12T17:10:47.196548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도동구분
위도1.0000.2540.581
경도0.2541.0000.631
동구분0.5810.6311.000

Missing values

2023-12-12T17:10:43.229061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:10:43.374019image/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

건축사사무소명동구분주소전화번호위도경도대표자기준일
0다듬창동도봉구 노해로 37902-990-012337.652437127.05024이 002018-01-01
1주안쌍문동도봉구 해등로 18002-990-449237.657736127.036838장 002018-01-01
2장우쌍문동도봉구 해등로 17402-903-054937.657479127.037518장 002018-01-01
3수방학동도봉구 도봉로152길 2602-3494-332337.669193127.045262조 002018-01-01
4도운도봉동도봉구 마들로 67202-3494-322137.670099127.046488유 002018-01-01
5대건종합방학동도봉구 도당로29길 1002-955-416137.667609127.041965이 002018-01-01
6(주)코스모방학동도봉구 방학로 22302-955-049137.661353127.027335이 002018-01-01
7(주)샘종합도봉동도봉구 마들로 664-5 도봉그랜드타워 40302-956-024837.66944127.046815노 002018-01-01
8머릿돌종합도봉동도봉구 마들로 664-5 도봉그랜드타워 50102-3494-559037.66944127.046815고 002018-01-01
9태일방학동도봉구 도봉로152길 16(현대렉시온 오피스텔 1004호)02-3492-872637.669053127.044735조 002018-01-01
건축사사무소명동구분주소전화번호위도경도대표자기준일
16에스와이종합쌍문동도봉구 도봉로125길 7502-415-030337.655814127.036803정 002018-01-01
17연희방학동도봉구 방학로 14602-3492-239137.662866127.035956유 002018-01-01
18그룹영창동도봉구 해등로16길 6402-998-101037.654928127.043322김 02018-01-01
19한집방학동도봉구 방학로193 신동아1단지 15동205호02-3494-464737.660649127.029181최 002018-01-01
20㈜대한도시종합방학동도봉구 도당로 12202-540-133437.667061127.039829강 002018-01-01
21이레로창동도봉구 노해로69길 15-15 점보빌딩 604호02-420-079237.652784127.049961심 002018-01-01
22건축사사무소 안옥창동도봉구 도봉로 476 삼성쉐르빌퍼스티 805호02-956-695137.647838127.034748정 002018-01-01
23선율창동도봉구 덕릉로63길 13 한원힐트리움S동 201호02-904-360437.64193127.040342엄 02018-01-01
24㈜뱅크창동도봉구 노해로67길 202-557-726337.652386127.050014김 002018-01-01
25다인도봉동도봉구 마들로 672-3302-954-125437.669618127.046762김 002018-01-01