Overview

Dataset statistics

Number of variables6
Number of observations1110
Missing cells286
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.2 KiB
Average record size in memory49.1 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description부산광역시_건축사사무소현황_20230111
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15034666

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 286 (25.8%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-13 13:19:53.243595
Analysis finished2024-03-13 13:19:54.082914
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean555.5
Minimum1
Maximum1110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2024-03-13T22:19:54.162184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile56.45
Q1278.25
median555.5
Q3832.75
95-th percentile1054.55
Maximum1110
Range1109
Interquartile range (IQR)554.5

Descriptive statistics

Standard deviation320.5737
Coefficient of variation (CV)0.57709038
Kurtosis-1.2
Mean555.5
Median Absolute Deviation (MAD)277.5
Skewness0
Sum616605
Variance102767.5
MonotonicityStrictly increasing
2024-03-13T22:19:54.307380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
740 1
 
0.1%
746 1
 
0.1%
745 1
 
0.1%
744 1
 
0.1%
743 1
 
0.1%
742 1
 
0.1%
741 1
 
0.1%
739 1
 
0.1%
731 1
 
0.1%
Other values (1100) 1100
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1110 1
0.1%
1109 1
0.1%
1108 1
0.1%
1107 1
0.1%
1106 1
0.1%
1105 1
0.1%
1104 1
0.1%
1103 1
0.1%
1102 1
0.1%
1101 1
0.1%

사무소명
Text

Distinct1030
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-13T22:19:54.671620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length11.047748
Min length7

Characters and Unicode

Total characters12263
Distinct characters354
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique975 ?
Unique (%)87.8%

Sample

1st row건축사사무소 한국
2nd row신기종합건축사사무소
3rd row삼아 건축사사무소
4th row혁진 건축사사무소
5th row(주)상지엔지니어링건축사사무소
ValueCountFrequency (%)
건축사사무소 519
27.9%
종합건축사사무소 83
 
4.5%
주식회사 79
 
4.3%
주)종합건축사사무소 16
 
0.9%
주)상지엔지니어링건축사사무소 11
 
0.6%
사무소 8
 
0.4%
건축사 8
 
0.4%
주)건축사사무소 8
 
0.4%
주)일신설계종합건축사사무소 5
 
0.3%
주 5
 
0.3%
Other values (1032) 1115
60.0%
2024-03-13T22:19:55.204540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2319
18.9%
건 1185
 
9.7%
축 1156
 
9.4%
소 1119
 
9.1%
무 1119
 
9.1%
767
 
6.3%
주 329
 
2.7%
) 237
 
1.9%
( 236
 
1.9%
종 218
 
1.8%
Other values (344) 3578
29.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10782
87.9%
Space Separator 767
 
6.3%
Close Punctuation 237
 
1.9%
Open Punctuation 236
 
1.9%
Uppercase Letter 148
 
1.2%
Other Punctuation 42
 
0.3%
Lowercase Letter 23
 
0.2%
Decimal Number 22
 
0.2%
Dash Punctuation 4
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2319
21.5%
건 1185
11.0%
축 1156
10.7%
소 1119
 
10.4%
무 1119
 
10.4%
주 329
 
3.1%
종 218
 
2.0%
합 213
 
2.0%
이 182
 
1.7%
지 132
 
1.2%
Other values (292) 2810
26.1%
Uppercase Letter
ValueCountFrequency (%)
A 31
20.9%
M 12
 
8.1%
T 12
 
8.1%
N 11
 
7.4%
C 11
 
7.4%
E 9
 
6.1%
P 9
 
6.1%
S 9
 
6.1%
J 7
 
4.7%
U 7
 
4.7%
Other values (12) 30
20.3%
Lowercase Letter
ValueCountFrequency (%)
c 3
13.0%
h 2
8.7%
m 2
8.7%
t 2
8.7%
e 2
8.7%
s 2
8.7%
n 2
8.7%
p 2
8.7%
l 2
8.7%
a 2
8.7%
Other values (2) 2
8.7%
Other Punctuation
ValueCountFrequency (%)
. 20
47.6%
& 16
38.1%
' 2
 
4.8%
· 2
 
4.8%
, 1
 
2.4%
# 1
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 9
40.9%
2 8
36.4%
5 2
 
9.1%
8 1
 
4.5%
4 1
 
4.5%
0 1
 
4.5%
Space Separator
ValueCountFrequency (%)
767
100.0%
Close Punctuation
ValueCountFrequency (%)
) 237
100.0%
Open Punctuation
ValueCountFrequency (%)
( 236
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10781
87.9%
Common 1309
 
10.7%
Latin 171
 
1.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2319
21.5%
건 1185
11.0%
축 1156
10.7%
소 1119
 
10.4%
무 1119
 
10.4%
주 329
 
3.1%
종 218
 
2.0%
합 213
 
2.0%
이 182
 
1.7%
지 132
 
1.2%
Other values (291) 2809
26.1%
Latin
ValueCountFrequency (%)
A 31
18.1%
M 12
 
7.0%
T 12
 
7.0%
N 11
 
6.4%
C 11
 
6.4%
E 9
 
5.3%
P 9
 
5.3%
S 9
 
5.3%
J 7
 
4.1%
U 7
 
4.1%
Other values (24) 53
31.0%
Common
ValueCountFrequency (%)
767
58.6%
) 237
 
18.1%
( 236
 
18.0%
. 20
 
1.5%
& 16
 
1.2%
1 9
 
0.7%
2 8
 
0.6%
- 4
 
0.3%
' 2
 
0.2%
5 2
 
0.2%
Other values (7) 8
 
0.6%
Han
ValueCountFrequency (%)
湞 1
50.0%
寅 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10780
87.9%
ASCII 1477
 
12.0%
None 3
 
< 0.1%
CJK 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2319
21.5%
건 1185
11.0%
축 1156
10.7%
소 1119
 
10.4%
무 1119
 
10.4%
주 329
 
3.1%
종 218
 
2.0%
합 213
 
2.0%
이 182
 
1.7%
지 132
 
1.2%
Other values (290) 2808
26.0%
ASCII
ValueCountFrequency (%)
767
51.9%
) 237
 
16.0%
( 236
 
16.0%
A 31
 
2.1%
. 20
 
1.4%
& 16
 
1.1%
M 12
 
0.8%
T 12
 
0.8%
N 11
 
0.7%
C 11
 
0.7%
Other values (39) 124
 
8.4%
None
ValueCountFrequency (%)
· 2
66.7%
㈜ 1
33.3%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%
CJK
ValueCountFrequency (%)
湞 1
50.0%
寅 1
50.0%

도로명주소
Text

Distinct951
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-13T22:19:55.597943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length28.789189
Min length14

Characters and Unicode

Total characters31956
Distinct characters368
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

Unique835 ?
Unique (%)75.2%

Sample

1st row부산광역시 부산진구 부전로152번길 31-7
2nd row부산광역시 사상구 학감대로 238-10 (감전동 , 협성빌딩202호)
3rd row부산광역시 부산진구 새싹로 31
4th row부산광역시 동구 중앙대로320번길 7-8, 대양빌딩 302
5th row부산광역시 중구 자갈치로 42
ValueCountFrequency (%)
부산광역시 1111
 
18.4%
해운대구 179
 
3.0%
부산진구 120
 
2.0%
연제구 118
 
2.0%
동래구 102
 
1.7%
2층 95
 
1.6%
수영구 95
 
1.6%
금정구 94
 
1.6%
3층 92
 
1.5%
동구 89
 
1.5%
Other values (1547) 3954
65.4%
2024-03-13T22:19:56.182406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4963
 
15.5%
산 1304
 
4.1%
부 1271
 
4.0%
1 1250
 
3.9%
시 1180
 
3.7%
광 1166
 
3.6%
역 1112
 
3.5%
구 1103
 
3.5%
로 1076
 
3.4%
, 1053
 
3.3%
Other values (358) 16478
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18768
58.7%
Decimal Number 6210
 
19.4%
Space Separator 4963
 
15.5%
Other Punctuation 1063
 
3.3%
Open Punctuation 300
 
0.9%
Close Punctuation 299
 
0.9%
Dash Punctuation 207
 
0.6%
Uppercase Letter 121
 
0.4%
Lowercase Letter 21
 
0.1%
Control 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1304
 
6.9%
부 1271
 
6.8%
시 1180
 
6.3%
광 1166
 
6.2%
역 1112
 
5.9%
구 1103
 
5.9%
로 1076
 
5.7%
동 709
 
3.8%
대 621
 
3.3%
호 495
 
2.6%
Other values (314) 8731
46.5%
Uppercase Letter
ValueCountFrequency (%)
A 24
19.8%
C 17
14.0%
B 11
9.1%
E 10
8.3%
P 8
 
6.6%
K 8
 
6.6%
H 6
 
5.0%
T 6
 
5.0%
O 5
 
4.1%
S 5
 
4.1%
Other values (8) 21
17.4%
Decimal Number
ValueCountFrequency (%)
1 1250
20.1%
2 979
15.8%
0 762
12.3%
3 718
11.6%
4 498
 
8.0%
6 441
 
7.1%
7 435
 
7.0%
5 412
 
6.6%
9 391
 
6.3%
8 324
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
e 14
66.7%
k 2
 
9.5%
n 2
 
9.5%
h 1
 
4.8%
s 1
 
4.8%
y 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 1053
99.1%
/ 5
 
0.5%
. 3
 
0.3%
· 1
 
0.1%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4963
100.0%
Open Punctuation
ValueCountFrequency (%)
( 300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 207
100.0%
Control
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18768
58.7%
Common 13046
40.8%
Latin 142
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1304
 
6.9%
부 1271
 
6.8%
시 1180
 
6.3%
광 1166
 
6.2%
역 1112
 
5.9%
구 1103
 
5.9%
로 1076
 
5.7%
동 709
 
3.8%
대 621
 
3.3%
호 495
 
2.6%
Other values (314) 8731
46.5%
Latin
ValueCountFrequency (%)
A 24
16.9%
C 17
12.0%
e 14
9.9%
B 11
 
7.7%
E 10
 
7.0%
P 8
 
5.6%
K 8
 
5.6%
H 6
 
4.2%
T 6
 
4.2%
O 5
 
3.5%
Other values (14) 33
23.2%
Common
ValueCountFrequency (%)
4963
38.0%
1 1250
 
9.6%
, 1053
 
8.1%
2 979
 
7.5%
0 762
 
5.8%
3 718
 
5.5%
4 498
 
3.8%
6 441
 
3.4%
7 435
 
3.3%
5 412
 
3.2%
Other values (10) 1535
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18768
58.7%
ASCII 13187
41.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4963
37.6%
1 1250
 
9.5%
, 1053
 
8.0%
2 979
 
7.4%
0 762
 
5.8%
3 718
 
5.4%
4 498
 
3.8%
6 441
 
3.3%
7 435
 
3.3%
5 412
 
3.1%
Other values (33) 1676
 
12.7%
Hangul
ValueCountFrequency (%)
산 1304
 
6.9%
부 1271
 
6.8%
시 1180
 
6.3%
광 1166
 
6.2%
역 1112
 
5.9%
구 1103
 
5.9%
로 1076
 
5.7%
동 709
 
3.8%
대 621
 
3.3%
호 495
 
2.6%
Other values (314) 8731
46.5%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

MISSING 

Distinct711
Distinct (%)86.3%
Missing286
Missing (%)25.8%
Memory size8.8 KiB
2024-03-13T22:19:56.479726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters9888
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

Unique632 ?
Unique (%)76.7%

Sample

1st row051-817-2119
2nd row051-328-4474
3rd row051-816-8193
4th row051-469-1285
5th row051-247-0208
ValueCountFrequency (%)
051-247-0208 13
 
1.6%
051-632-8634 5
 
0.6%
051-462-4712 5
 
0.6%
051-462-0463 4
 
0.5%
051-757-3757 3
 
0.4%
051-751-5654 3
 
0.4%
051-781-5781 3
 
0.4%
051-514-8008 3
 
0.4%
051-515-3322 3
 
0.4%
051-466-6640 3
 
0.4%
Other values (701) 779
94.5%
2024-03-13T22:19:56.861822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1648
16.7%
5 1556
15.7%
0 1461
14.8%
1 1456
14.7%
2 624
 
6.3%
7 607
 
6.1%
4 597
 
6.0%
6 591
 
6.0%
8 537
 
5.4%
3 490
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8240
83.3%
Dash Punctuation 1648
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1556
18.9%
0 1461
17.7%
1 1456
17.7%
2 624
7.6%
7 607
 
7.4%
4 597
 
7.2%
6 591
 
7.2%
8 537
 
6.5%
3 490
 
5.9%
9 321
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 1648
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9888
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1648
16.7%
5 1556
15.7%
0 1461
14.8%
1 1456
14.7%
2 624
 
6.3%
7 607
 
6.1%
4 597
 
6.0%
6 591
 
6.0%
8 537
 
5.4%
3 490
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9888
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1648
16.7%
5 1556
15.7%
0 1461
14.8%
1 1456
14.7%
2 624
 
6.3%
7 607
 
6.1%
4 597
 
6.0%
6 591
 
6.0%
8 537
 
5.4%
3 490
 
5.0%

신고건축사
Text

Distinct1086
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2024-03-13T22:19:57.226529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.981982
Min length2

Characters and Unicode

Total characters3310
Distinct characters205
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1062 ?
Unique (%)95.7%

Sample

1st row김창신
2nd row김건수
3rd row김성곤
4th row임창수
5th row김동회
ValueCountFrequency (%)
이한식 2
 
0.2%
이동준 2
 
0.2%
조현석 2
 
0.2%
이상호 2
 
0.2%
최재훈 2
 
0.2%
이창훈 2
 
0.2%
박선호 2
 
0.2%
김경수 2
 
0.2%
이상일 2
 
0.2%
이홍식 2
 
0.2%
Other values (1076) 1090
98.2%
2024-03-13T22:19:57.682353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 210
 
6.3%
이 177
 
5.3%
정 126
 
3.8%
박 116
 
3.5%
영 92
 
2.8%
성 73
 
2.2%
진 67
 
2.0%
호 65
 
2.0%
수 63
 
1.9%
상 60
 
1.8%
Other values (195) 2261
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3310
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 210
 
6.3%
이 177
 
5.3%
정 126
 
3.8%
박 116
 
3.5%
영 92
 
2.8%
성 73
 
2.2%
진 67
 
2.0%
호 65
 
2.0%
수 63
 
1.9%
상 60
 
1.8%
Other values (195) 2261
68.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3310
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 210
 
6.3%
이 177
 
5.3%
정 126
 
3.8%
박 116
 
3.5%
영 92
 
2.8%
성 73
 
2.2%
진 67
 
2.0%
호 65
 
2.0%
수 63
 
1.9%
상 60
 
1.8%
Other values (195) 2261
68.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3310
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 210
 
6.3%
이 177
 
5.3%
정 126
 
3.8%
박 116
 
3.5%
영 92
 
2.8%
성 73
 
2.2%
진 67
 
2.0%
호 65
 
2.0%
수 63
 
1.9%
상 60
 
1.8%
Other values (195) 2261
68.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2023-01-11
1110 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-11
2nd row2023-01-11
3rd row2023-01-11
4th row2023-01-11
5th row2023-01-11

Common Values

ValueCountFrequency (%)
2023-01-11 1110
100.0%

Length

2024-03-13T22:19:57.852092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T22:19:57.973395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-11 1110
100.0%

Interactions

2024-03-13T22:19:53.794315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-13T22:19:53.919338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T22:19:54.037048image/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

순번사무소명도로명주소전화번호신고건축사데이터기준일자
01건축사사무소 한국부산광역시 부산진구 부전로152번길 31-7051-817-2119김창신2023-01-11
12신기종합건축사사무소부산광역시 사상구 학감대로 238-10 (감전동 , 협성빌딩202호)051-328-4474김건수2023-01-11
23삼아 건축사사무소부산광역시 부산진구 새싹로 31051-816-8193김성곤2023-01-11
34혁진 건축사사무소부산광역시 동구 중앙대로320번길 7-8, 대양빌딩 302051-469-1285임창수2023-01-11
45(주)상지엔지니어링건축사사무소부산광역시 중구 자갈치로 42051-247-0208김동회2023-01-11
56(주)상지엔지니어링건축사사무소부산광역시 중구 자갈치로 42051-247-0208김창수2023-01-11
67(주)상지엔지니어링건축사사무소부산광역시 중구 자갈치로 42051-247-0208박미경2023-01-11
78(주)상지엔지니어링건축사사무소부산광역시 중구 자갈치로 42051-247-0208이광택2023-01-11
89(주)상지엔지니어링건축사사무소부산광역시 중구 자갈치로 42051-247-0208허동윤2023-01-11
910(주)상지엔지니어링건축사사무소부산광역시 중구 자갈치로 42051-247-0208차문송2023-01-11
순번사무소명도로명주소전화번호신고건축사데이터기준일자
11001101누가건축사사무소 주식회사부산광역시 사상구 백양대로703번길 55-11, 씨동 303호051-301-2760최병수2023-01-11
11011102주식회사 하빌리스건축사사무소부산광역시 강서구 명지국제8로10번길 29, 블루트윈스 1층 111호<NA>김보현2023-01-11
11021103해당건축사사무소부산광역시 남구 수영로 312, 1328호051-711-4275강영미2023-01-11
11031104종합건축사사무소태성부산광역시 북구 사상로 585, 3층<NA>김원태2023-01-11
11041105아랑 건축사사무소부산광역시 남구 유엔로 98, 2층<NA>김현성2023-01-11
11051106건축사사무소 필로부산광역시 수영구 망미배산로48번길 12, 2층<NA>서동오2023-01-11
11061107건축사사무소 그루부산광역시 북구 덕천로234번길 24, 상가동 216호(만덕동, 럭키만덕아파트)<NA>박정호2023-01-11
11071108리얼스페이스건축사사무소부산광역시 수영구 수영로 761, 5층 홈어라운드, 03호<NA>이현승2023-01-11
11081109주식회사 진성종합건축사사무소부산광역시 해운대구 APEC로 17, 2704호(우동, 센텀리더스마크)<NA>곽슬기2023-01-11
11091110길재 건축사사무소부산광역시 해운대구 APEC로 17, 센텀리더스마크 4006-2호<NA>심길재2023-01-11