Overview

Dataset statistics

Number of variables17
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 KiB
Average record size in memory145.2 B

Variable types

Text5
Numeric5
DateTime2
Categorical5

Dataset

Description부산광역시 중구 관내 공개공지 현황에 대한 데이터로 건축물명, 도로명주소, 지번주소, 허가일자, 공개공지위치, 공개공지 편의시설 등의 항목을 제공합니다.
Author부산광역시 중구
URLhttps://www.data.go.kr/data/15005160/fileData.do

Alerts

구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
공개공지면적 is highly overall correlated with 연면적High correlation
대지면적 is highly overall correlated with 공개공지위치High correlation
연면적 is highly overall correlated with 공개공지면적High correlation
공개공지개소 is highly overall correlated with 공개공지위치High correlation
공개공지위치 is highly overall correlated with 대지면적 and 1 other fieldsHigh correlation
건축물명 has unique valuesUnique
공개공지면적 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique
허가일자 has unique valuesUnique
사용승인일자 has unique valuesUnique
대지면적 has unique valuesUnique
연면적 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:28:06.172977
Analysis finished2023-12-12 11:28:12.637891
Duration6.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축물명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:28:12.916239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.6097561
Min length3

Characters and Unicode

Total characters312
Distinct characters154
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row월드밸리
2nd row대영시네마타운
3rd row팬오션㈜부산빌딩
4th row지앤비호텔
5th row부산항만공사
ValueCountFrequency (%)
봄여름가을겨울 2
 
3.6%
월드밸리 1
 
1.8%
부산영화체험박물관 1
 
1.8%
오피스텔 1
 
1.8%
보수3차 1
 
1.8%
그리핀베이 1
 
1.8%
호텔 1
 
1.8%
만세365병원 1
 
1.8%
경보 1
 
1.8%
이리스오션 1
 
1.8%
Other values (45) 45
80.4%
2023-12-12T20:28:13.548752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
4.8%
스 14
 
4.5%
리 13
 
4.2%
이 8
 
2.6%
부 7
 
2.2%
산 7
 
2.2%
보 6
 
1.9%
오 6
 
1.9%
한 5
 
1.6%
텔 5
 
1.6%
Other values (144) 226
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
89.4%
Space Separator 15
 
4.8%
Uppercase Letter 7
 
2.2%
Decimal Number 6
 
1.9%
Other Punctuation 2
 
0.6%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 14
 
5.0%
리 13
 
4.7%
이 8
 
2.9%
부 7
 
2.5%
산 7
 
2.5%
보 6
 
2.2%
오 6
 
2.2%
한 5
 
1.8%
텔 5
 
1.8%
션 5
 
1.8%
Other values (127) 203
72.8%
Uppercase Letter
ValueCountFrequency (%)
H 1
14.3%
K 1
14.3%
F 1
14.3%
W 1
14.3%
R 1
14.3%
D 1
14.3%
M 1
14.3%
Decimal Number
ValueCountFrequency (%)
3 2
33.3%
2 2
33.3%
6 1
16.7%
5 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 280
89.7%
Common 25
 
8.0%
Latin 7
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 14
 
5.0%
리 13
 
4.6%
이 8
 
2.9%
부 7
 
2.5%
산 7
 
2.5%
보 6
 
2.1%
오 6
 
2.1%
한 5
 
1.8%
텔 5
 
1.8%
션 5
 
1.8%
Other values (128) 204
72.9%
Common
ValueCountFrequency (%)
15
60.0%
3 2
 
8.0%
2 2
 
8.0%
6 1
 
4.0%
5 1
 
4.0%
) 1
 
4.0%
. 1
 
4.0%
( 1
 
4.0%
& 1
 
4.0%
Latin
ValueCountFrequency (%)
H 1
14.3%
K 1
14.3%
F 1
14.3%
W 1
14.3%
R 1
14.3%
D 1
14.3%
M 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
89.4%
ASCII 32
 
10.3%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
46.9%
3 2
 
6.2%
2 2
 
6.2%
H 1
 
3.1%
K 1
 
3.1%
F 1
 
3.1%
6 1
 
3.1%
W 1
 
3.1%
5 1
 
3.1%
) 1
 
3.1%
Other values (6) 6
 
18.8%
Hangul
ValueCountFrequency (%)
스 14
 
5.0%
리 13
 
4.7%
이 8
 
2.9%
부 7
 
2.5%
산 7
 
2.5%
보 6
 
2.2%
오 6
 
2.2%
한 5
 
1.8%
텔 5
 
1.8%
션 5
 
1.8%
Other values (127) 203
72.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

공개공지면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.18829
Minimum33.96
Maximum2033
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:28:13.806804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.96
5-th percentile36.05
Q164.41
median109.03
Q3173.65
95-th percentile465.53
Maximum2033
Range1999.04
Interquartile range (IQR)109.24

Descriptive statistics

Standard deviation319.21677
Coefficient of variation (CV)1.7237417
Kurtosis29.470515
Mean185.18829
Median Absolute Deviation (MAD)45.49
Skewness5.1417161
Sum7592.72
Variance101899.35
MonotonicityNot monotonic
2023-12-12T20:28:14.076926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
107.25 1
 
2.4%
111.01 1
 
2.4%
190.93 1
 
2.4%
109.9 1
 
2.4%
127.0 1
 
2.4%
135.1 1
 
2.4%
42.18 1
 
2.4%
35.37 1
 
2.4%
463.27 1
 
2.4%
40.46 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
33.96 1
2.4%
35.37 1
2.4%
36.05 1
2.4%
40.46 1
2.4%
41.0 1
2.4%
42.18 1
2.4%
50.84 1
2.4%
62.07 1
2.4%
63.54 1
2.4%
63.81 1
2.4%
ValueCountFrequency (%)
2033.0 1
2.4%
531.57 1
2.4%
465.53 1
2.4%
463.27 1
2.4%
400.19 1
2.4%
228.36 1
2.4%
193.36 1
2.4%
193.22 1
2.4%
190.93 1
2.4%
175.0 1
2.4%

도로명주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:28:14.492024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length18.04878
Min length15

Characters and Unicode

Total characters740
Distinct characters50
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 대청로 60
2nd row부산광역시 중구 비프광장로 37
3rd row부산광역시 중구 중앙대로 102
4th row부산광역시 중구 흑교로 19
5th row부산광역시 중구 대교로 122
ValueCountFrequency (%)
부산광역시 41
25.0%
중구 41
25.0%
중앙대로 8
 
4.9%
대교로 6
 
3.7%
대청로 5
 
3.0%
6 3
 
1.8%
비프광장로 2
 
1.2%
23 2
 
1.2%
흑교로 2
 
1.2%
19 2
 
1.2%
Other values (51) 52
31.7%
2023-12-12T20:28:15.127375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
16.6%
중 52
 
7.0%
광 45
 
6.1%
구 42
 
5.7%
부 41
 
5.5%
역 41
 
5.5%
시 41
 
5.5%
산 41
 
5.5%
로 40
 
5.4%
1 32
 
4.3%
Other values (40) 242
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 478
64.6%
Decimal Number 126
 
17.0%
Space Separator 123
 
16.6%
Close Punctuation 5
 
0.7%
Open Punctuation 5
 
0.7%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 52
10.9%
광 45
9.4%
구 42
8.8%
부 41
8.6%
역 41
8.6%
시 41
8.6%
산 41
8.6%
로 40
8.4%
대 28
 
5.9%
길 15
 
3.1%
Other values (26) 92
19.2%
Decimal Number
ValueCountFrequency (%)
1 32
25.4%
2 17
13.5%
5 13
10.3%
9 13
10.3%
3 12
 
9.5%
6 12
 
9.5%
4 11
 
8.7%
0 7
 
5.6%
7 6
 
4.8%
8 3
 
2.4%
Space Separator
ValueCountFrequency (%)
123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 478
64.6%
Common 262
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 52
10.9%
광 45
9.4%
구 42
8.8%
부 41
8.6%
역 41
8.6%
시 41
8.6%
산 41
8.6%
로 40
8.4%
대 28
 
5.9%
길 15
 
3.1%
Other values (26) 92
19.2%
Common
ValueCountFrequency (%)
123
46.9%
1 32
 
12.2%
2 17
 
6.5%
5 13
 
5.0%
9 13
 
5.0%
3 12
 
4.6%
6 12
 
4.6%
4 11
 
4.2%
0 7
 
2.7%
7 6
 
2.3%
Other values (4) 16
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 478
64.6%
ASCII 262
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
46.9%
1 32
 
12.2%
2 17
 
6.5%
5 13
 
5.0%
9 13
 
5.0%
3 12
 
4.6%
6 12
 
4.6%
4 11
 
4.2%
0 7
 
2.7%
7 6
 
2.3%
Other values (4) 16
 
6.1%
Hangul
ValueCountFrequency (%)
중 52
10.9%
광 45
9.4%
구 42
8.8%
부 41
8.6%
역 41
8.6%
시 41
8.6%
산 41
8.6%
로 40
8.4%
대 28
 
5.9%
길 15
 
3.1%
Other values (26) 92
19.2%

지번주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:28:15.527692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length19.02439
Min length16

Characters and Unicode

Total characters780
Distinct characters39
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 부평동2가 2
2nd row부산광역시 중구 남포동5가 12-1 외
3rd row부산광역시 중구 중앙동4가 83-5 외
4th row부산광역시 중구 부평동3가 40-5
5th row부산광역시 중구 중앙동5가 15-1
ValueCountFrequency (%)
부산광역시 41
23.6%
중구 40
23.0%
중앙동4가 8
 
4.6%
보수동3가 6
 
3.4%
외 5
 
2.9%
중앙동5가 4
 
2.3%
남포동5가 3
 
1.7%
중앙동6가 2
 
1.1%
외1필지 2
 
1.1%
37-1 2
 
1.1%
Other values (53) 61
35.1%
2023-12-12T20:28:16.129206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
17.1%
중 56
 
7.2%
부 45
 
5.8%
광 42
 
5.4%
동 42
 
5.4%
산 42
 
5.4%
역 41
 
5.3%
시 41
 
5.3%
구 40
 
5.1%
가 39
 
5.0%
Other values (29) 259
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 465
59.6%
Decimal Number 154
 
19.7%
Space Separator 133
 
17.1%
Dash Punctuation 28
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 56
12.0%
부 45
9.7%
광 42
9.0%
동 42
9.0%
산 42
9.0%
역 41
8.8%
시 41
8.8%
구 40
8.6%
가 39
8.4%
앙 16
 
3.4%
Other values (17) 61
13.1%
Decimal Number
ValueCountFrequency (%)
1 33
21.4%
2 24
15.6%
3 22
14.3%
4 20
13.0%
5 18
11.7%
7 12
 
7.8%
6 7
 
4.5%
8 7
 
4.5%
0 6
 
3.9%
9 5
 
3.2%
Space Separator
ValueCountFrequency (%)
133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 465
59.6%
Common 315
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 56
12.0%
부 45
9.7%
광 42
9.0%
동 42
9.0%
산 42
9.0%
역 41
8.8%
시 41
8.8%
구 40
8.6%
가 39
8.4%
앙 16
 
3.4%
Other values (17) 61
13.1%
Common
ValueCountFrequency (%)
133
42.2%
1 33
 
10.5%
- 28
 
8.9%
2 24
 
7.6%
3 22
 
7.0%
4 20
 
6.3%
5 18
 
5.7%
7 12
 
3.8%
6 7
 
2.2%
8 7
 
2.2%
Other values (2) 11
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 465
59.6%
ASCII 315
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
42.2%
1 33
 
10.5%
- 28
 
8.9%
2 24
 
7.6%
3 22
 
7.0%
4 20
 
6.3%
5 18
 
5.7%
7 12
 
3.8%
6 7
 
2.2%
8 7
 
2.2%
Other values (2) 11
 
3.5%
Hangul
ValueCountFrequency (%)
중 56
12.0%
부 45
9.7%
광 42
9.0%
동 42
9.0%
산 42
9.0%
역 41
8.8%
시 41
8.8%
구 40
8.6%
가 39
8.4%
앙 16
 
3.4%
Other values (17) 61
13.1%

허가일자
Date

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum1994-01-11 00:00:00
Maximum2020-08-21 00:00:00
2023-12-12T20:28:16.363645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:16.559965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

사용승인일자
Date

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum1997-02-06 00:00:00
Maximum2022-01-21 00:00:00
2023-12-12T20:28:16.777134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:17.017346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

대지면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3494.1985
Minimum400.2
Maximum70812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:28:17.232456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum400.2
5-th percentile448.9
Q1687.6
median1061
Q31897.5
95-th percentile4841.5
Maximum70812
Range70411.8
Interquartile range (IQR)1209.9

Descriptive statistics

Standard deviation11218.275
Coefficient of variation (CV)3.2105432
Kurtosis34.57677
Mean3494.1985
Median Absolute Deviation (MAD)447.3
Skewness5.7573942
Sum143262.14
Variance1.258497 × 108
MonotonicityNot monotonic
2023-12-12T20:28:17.484918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1060.6 1
 
2.4%
866.9 1
 
2.4%
3669.7 1
 
2.4%
1391.3 1
 
2.4%
626.5 1
 
2.4%
1061.0 1
 
2.4%
595.2 1
 
2.4%
732.0 1
 
2.4%
562.3 1
 
2.4%
1204.6 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
400.2 1
2.4%
409.2 1
2.4%
448.9 1
2.4%
562.3 1
2.4%
588.4 1
2.4%
595.2 1
2.4%
610.74 1
2.4%
613.7 1
2.4%
626.5 1
2.4%
679.1 1
2.4%
ValueCountFrequency (%)
70812.0 1
2.4%
20337.8 1
2.4%
4841.5 1
2.4%
3669.7 1
2.4%
3459.3 1
2.4%
2841.5 1
2.4%
2261.2 1
2.4%
2202.0 1
2.4%
2178.5 1
2.4%
1910.9 1
2.4%

연면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12399.563
Minimum2501.86
Maximum40348.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:28:17.743408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2501.86
5-th percentile3826.4
Q16670.18
median8170.6
Q314239.4
95-th percentile33150.9
Maximum40348.18
Range37846.32
Interquartile range (IQR)7569.22

Descriptive statistics

Standard deviation9310.5398
Coefficient of variation (CV)0.75087647
Kurtosis1.591907
Mean12399.563
Median Absolute Deviation (MAD)2741.68
Skewness1.5412836
Sum508382.07
Variance86686151
MonotonicityNot monotonic
2023-12-12T20:28:18.027934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
13357.4 1
 
2.4%
6096.75 1
 
2.4%
9759.28 1
 
2.4%
7110.4 1
 
2.4%
7568.33 1
 
2.4%
17368.74 1
 
2.4%
3826.4 1
 
2.4%
8061.24 1
 
2.4%
35225.88 1
 
2.4%
6157.01 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
2501.86 1
2.4%
3533.19 1
2.4%
3826.4 1
2.4%
5272.1 1
2.4%
5358.1 1
2.4%
5428.92 1
2.4%
5757.09 1
2.4%
6096.75 1
2.4%
6157.01 1
2.4%
6279.8 1
2.4%
ValueCountFrequency (%)
40348.18 1
2.4%
35225.88 1
2.4%
33150.9 1
2.4%
27425.8 1
2.4%
25910.08 1
2.4%
25312.9 1
2.4%
24216.5 1
2.4%
21641.3 1
2.4%
17368.74 1
2.4%
16001.2 1
2.4%

층수
Text

Distinct30
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:28:18.516142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length7.8536585
Min length7

Characters and Unicode

Total characters322
Distinct characters16
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

Unique23 ?
Unique (%)56.1%

Sample

1st row지하6/지상18
2nd row지하4/지상6
3rd row지하6/지상18
4th row지하4/지상10
5th row지하1/지상6
ValueCountFrequency (%)
지하1/지상20 6
 
14.6%
지하6/지상16 2
 
4.9%
지하1/지상9 2
 
4.9%
지하2/지상14 2
 
4.9%
지하1/지상19 2
 
4.9%
지하6/지상18 2
 
4.9%
지하1/지상15 2
 
4.9%
지하1/지상14 1
 
2.4%
지하4/지상27 1
 
2.4%
지하2/지상15 1
 
2.4%
Other values (20) 20
48.8%
2023-12-12T20:28:19.171238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 81
25.2%
하 41
12.7%
/ 41
12.7%
상 41
12.7%
1 40
12.4%
2 21
 
6.5%
0 10
 
3.1%
4 9
 
2.8%
5 8
 
2.5%
6 8
 
2.5%
Other values (6) 22
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166
51.6%
Decimal Number 115
35.7%
Other Punctuation 41
 
12.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 40
34.8%
2 21
18.3%
0 10
 
8.7%
4 9
 
7.8%
5 8
 
7.0%
6 8
 
7.0%
3 7
 
6.1%
9 6
 
5.2%
8 3
 
2.6%
7 3
 
2.6%
Other Letter
ValueCountFrequency (%)
지 81
48.8%
하 41
24.7%
상 41
24.7%
층 2
 
1.2%
자 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
/ 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
51.6%
Common 156
48.4%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 41
26.3%
1 40
25.6%
2 21
13.5%
0 10
 
6.4%
4 9
 
5.8%
5 8
 
5.1%
6 8
 
5.1%
3 7
 
4.5%
9 6
 
3.8%
8 3
 
1.9%
Hangul
ValueCountFrequency (%)
지 81
48.8%
하 41
24.7%
상 41
24.7%
층 2
 
1.2%
자 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166
51.6%
ASCII 156
48.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 81
48.8%
하 41
24.7%
상 41
24.7%
층 2
 
1.2%
자 1
 
0.6%
ASCII
ValueCountFrequency (%)
/ 41
26.3%
1 40
25.6%
2 21
13.5%
0 10
 
6.4%
4 9
 
5.8%
5 8
 
5.1%
6 8
 
5.1%
3 7
 
4.5%
9 6
 
3.8%
8 3
 
1.9%

용도
Categorical

Distinct19
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
업무시설
13 
공동주택/업무시설
5 
판매및영업
3 
숙박시설
3 
업무시설/근린생활시설
2 
Other values (14)
15 

Length

Max length19
Median length12
Mean length6.6829268
Min length4

Unique

Unique13 ?
Unique (%)31.7%

Sample

1st row판매및영업
2nd row문화및집회
3rd row업무시설
4th row업무시설
5th row운수시설

Common Values

ValueCountFrequency (%)
업무시설 13
31.7%
공동주택/업무시설 5
 
12.2%
판매및영업 3
 
7.3%
숙박시설 3
 
7.3%
업무시설/근린생활시설 2
 
4.9%
문화및집회 2
 
4.9%
아파트 오피스텔 1
 
2.4%
운수시설 1
 
2.4%
숙박시설 판매시설 1
 
2.4%
판매시설 1
 
2.4%
Other values (9) 9
22.0%

Length

2023-12-12T20:28:19.935429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
업무시설 14
30.4%
공동주택/업무시설 5
 
10.9%
숙박시설 4
 
8.7%
판매및영업 3
 
6.5%
업무시설/근린생활시설 2
 
4.3%
문화및집회 2
 
4.3%
판매시설 2
 
4.3%
문화 1
 
2.2%
공동주택 1
 
2.2%
제2종근린생활시설/공동주택/업무시설 1
 
2.2%
Other values (11) 11
23.9%

공개공지개소
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size460.0 B
1
31 
2
9 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row1
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 31
75.6%
2 9
 
22.0%
3 1
 
2.4%

Length

2023-12-12T20:28:20.166107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:28:20.348362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 31
75.6%
2 9
 
22.0%
3 1
 
2.4%

공개공지위치
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
전면
27 
측면
5 
전면,후면
3 
후면
3 
전면,측면
 
2

Length

Max length6
Median length2
Mean length2.4634146
Min length2

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row전면
2nd row전면,측면
3rd row전면
4th row측면
5th row전면

Common Values

ValueCountFrequency (%)
전면 27
65.9%
측면 5
 
12.2%
전면,후면 3
 
7.3%
후면 3
 
7.3%
전면,측면 2
 
4.9%
전면, 측면 1
 
2.4%

Length

2023-12-12T20:28:20.580815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:28:20.841132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전면 28
66.7%
측면 6
 
14.3%
전면,후면 3
 
7.1%
후면 3
 
7.1%
전면,측면 2
 
4.8%

공개공지편의시설
Text

Distinct25
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:28:21.142526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.0243902
Min length2

Characters and Unicode

Total characters370
Distinct characters49
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)53.7%

Sample

1st row의자, 표지판 1
2nd row의자, 표지판 1
3rd row의자, 표지판 1
4th row의자, 표지판 1
5th row의자, 표지판 1
ValueCountFrequency (%)
의자 25
24.0%
표지판 22
21.2%
1 16
15.4%
표지판1 5
 
4.8%
조형물 3
 
2.9%
앉음벽 3
 
2.9%
2 3
 
2.9%
긴의자 2
 
1.9%
평의자 2
 
1.9%
파고라 2
 
1.9%
Other values (21) 21
20.2%
2023-12-12T20:28:21.750121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
17.0%
, 43
11.6%
의 37
10.0%
자 37
10.0%
표 28
7.6%
지 28
7.6%
판 28
7.6%
1 26
 
7.0%
조 6
 
1.6%
물 5
 
1.4%
Other values (39) 69
18.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 226
61.1%
Space Separator 63
 
17.0%
Other Punctuation 43
 
11.6%
Decimal Number 38
 
10.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 37
16.4%
자 37
16.4%
표 28
12.4%
지 28
12.4%
판 28
12.4%
조 6
 
2.7%
물 5
 
2.2%
평 4
 
1.8%
형 4
 
1.8%
라 3
 
1.3%
Other values (32) 46
20.4%
Decimal Number
ValueCountFrequency (%)
1 26
68.4%
2 5
 
13.2%
3 4
 
10.5%
4 2
 
5.3%
7 1
 
2.6%
Space Separator
ValueCountFrequency (%)
63
100.0%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 226
61.1%
Common 144
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 37
16.4%
자 37
16.4%
표 28
12.4%
지 28
12.4%
판 28
12.4%
조 6
 
2.7%
물 5
 
2.2%
평 4
 
1.8%
형 4
 
1.8%
라 3
 
1.3%
Other values (32) 46
20.4%
Common
ValueCountFrequency (%)
63
43.8%
, 43
29.9%
1 26
18.1%
2 5
 
3.5%
3 4
 
2.8%
4 2
 
1.4%
7 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 226
61.1%
ASCII 144
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
43.8%
, 43
29.9%
1 26
18.1%
2 5
 
3.5%
3 4
 
2.8%
4 2
 
1.4%
7 1
 
0.7%
Hangul
ValueCountFrequency (%)
의 37
16.4%
자 37
16.4%
표 28
12.4%
지 28
12.4%
판 28
12.4%
조 6
 
2.7%
물 5
 
2.2%
평 4
 
1.8%
형 4
 
1.8%
라 3
 
1.3%
Other values (32) 46
20.4%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
부산광역시 중구
41 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 중구
2nd row부산광역시 중구
3rd row부산광역시 중구
4th row부산광역시 중구
5th row부산광역시 중구

Common Values

ValueCountFrequency (%)
부산광역시 중구 41
100.0%

Length

2023-12-12T20:28:21.984018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:28:22.143904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 41
50.0%
중구 41
50.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-07-22
41 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-22
2nd row2023-07-22
3rd row2023-07-22
4th row2023-07-22
5th row2023-07-22

Common Values

ValueCountFrequency (%)
2023-07-22 41
100.0%

Length

2023-12-12T20:28:22.306557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:28:22.485609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-22 41
100.0%

위도
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.103471
Minimum35.0979
Maximum35.111139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:28:22.701392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.0979
5-th percentile35.09824
Q135.101343
median35.103488
Q335.104758
95-th percentile35.109262
Maximum35.111139
Range0.013239
Interquartile range (IQR)0.00341453

Descriptive statistics

Standard deviation0.0032286885
Coefficient of variation (CV)9.197633 × 10-5
Kurtosis-0.12643303
Mean35.103471
Median Absolute Deviation (MAD)0.0019073
Skewness0.43599698
Sum1439.2423
Variance1.0424429 × 10-5
MonotonicityNot monotonic
2023-12-12T20:28:22.969353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
35.102805 1
 
2.4%
35.104758 1
 
2.4%
35.103506 1
 
2.4%
35.0979 1
 
2.4%
35.1032896 1
 
2.4%
35.102756 1
 
2.4%
35.111139 1
 
2.4%
35.100473 1
 
2.4%
35.10410086 1
 
2.4%
35.106687 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
35.0979 1
2.4%
35.098163 1
2.4%
35.09824 1
2.4%
35.098605 1
2.4%
35.099722 1
2.4%
35.100473 1
2.4%
35.100809 1
2.4%
35.100961 1
2.4%
35.1009844 1
2.4%
35.101241 1
2.4%
ValueCountFrequency (%)
35.111139 1
2.4%
35.109687 1
2.4%
35.109262 1
2.4%
35.109055 1
2.4%
35.10816724 1
2.4%
35.107565 1
2.4%
35.106721 1
2.4%
35.106687 1
2.4%
35.105735 1
2.4%
35.104808 1
2.4%

경도
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.03108
Minimum129.0215
Maximum129.03874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T20:28:23.219260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.0215
5-th percentile129.02238
Q1129.02582
median129.03134
Q3129.0366
95-th percentile129.03764
Maximum129.03874
Range0.017241
Interquartile range (IQR)0.010783

Descriptive statistics

Standard deviation0.0057792946
Coefficient of variation (CV)4.4789942 × 10-5
Kurtosis-1.4185059
Mean129.03108
Median Absolute Deviation (MAD)0.005366
Skewness-0.33018784
Sum5290.2742
Variance3.3400246 × 10-5
MonotonicityNot monotonic
2023-12-12T20:28:23.467818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
129.026364 1
 
2.4%
129.022508 1
 
2.4%
129.02238 1
 
2.4%
129.0309 1
 
2.4%
129.0293888 1
 
2.4%
129.037641 1
 
2.4%
129.035277 1
 
2.4%
129.0352749 1
 
2.4%
129.0371841 1
 
2.4%
129.035838 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
129.0215 1
2.4%
129.022012 1
2.4%
129.02238 1
2.4%
129.02245 1
2.4%
129.022508 1
2.4%
129.0228784 1
2.4%
129.02326 1
2.4%
129.0233071 1
2.4%
129.024519 1
2.4%
129.024819 1
2.4%
ValueCountFrequency (%)
129.038741 1
2.4%
129.038592 1
2.4%
129.037641 1
2.4%
129.037373 1
2.4%
129.0371841 1
2.4%
129.037126 1
2.4%
129.0370601 1
2.4%
129.036866 1
2.4%
129.036822 1
2.4%
129.03671 1
2.4%

Interactions

2023-12-12T20:28:11.055801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:07.173974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:08.405608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:09.149550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:10.167009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:11.249691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:07.346518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:08.536780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:09.320604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:10.339720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:11.450096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:07.496465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:08.693745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:09.491467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:10.505981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:11.658564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:08.118802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:08.860562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:09.718983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:10.682594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:11.844335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:08.271591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:09.001492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:09.971463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:28:10.871081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:28:23.649671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건축물명공개공지면적도로명주소지번주소허가일자사용승인일자대지면적연면적층수용도공개공지개소공개공지위치공개공지편의시설위도경도
건축물명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공개공지면적1.0001.0001.0001.0001.0001.0000.3140.8411.0000.5040.0000.0000.0000.5690.708
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
허가일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사용승인일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대지면적1.0000.3141.0001.0001.0001.0001.0000.7450.6020.5840.0000.8630.0000.0000.000
연면적1.0000.8411.0001.0001.0001.0000.7451.0000.8040.2260.0000.0000.0000.3850.000
층수1.0001.0001.0001.0001.0001.0000.6020.8041.0000.8640.0000.0000.0000.8020.000
용도1.0000.5041.0001.0001.0001.0000.5840.2260.8641.0000.0000.0000.0000.0000.591
공개공지개소1.0000.0001.0001.0001.0001.0000.0000.0000.0000.0001.0000.9710.8360.2860.000
공개공지위치1.0000.0001.0001.0001.0001.0000.8630.0000.0000.0000.9711.0000.0000.0000.266
공개공지편의시설1.0000.0001.0001.0001.0001.0000.0000.0000.0000.0000.8360.0001.0000.0000.000
위도1.0000.5691.0001.0001.0001.0000.0000.3850.8020.0000.2860.0000.0001.0000.360
경도1.0000.7081.0001.0001.0001.0000.0000.0000.0000.5910.0000.2660.0000.3601.000
2023-12-12T20:28:23.990430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도공개공지위치공개공지개소
용도1.0000.0000.000
공개공지위치0.0001.0000.759
공개공지개소0.0000.7591.000
2023-12-12T20:28:24.190166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공개공지면적대지면적연면적위도경도용도공개공지개소공개공지위치
공개공지면적1.0000.2680.6270.0450.0350.2060.0000.000
대지면적0.2681.0000.272-0.0580.1580.2840.0000.540
연면적0.6270.2721.000-0.1430.4330.0210.0000.000
위도0.045-0.058-0.1431.0000.1620.0000.1430.000
경도0.0350.1580.4330.1621.0000.2350.0000.000
용도0.2060.2840.0210.0000.2351.0000.0000.000
공개공지개소0.0000.0000.0000.1430.0000.0001.0000.759
공개공지위치0.0000.5400.0000.0000.0000.0000.7591.000

Missing values

2023-12-12T20:28:12.129513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:28:12.489771image/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

건축물명공개공지면적도로명주소지번주소허가일자사용승인일자대지면적연면적층수용도공개공지개소공개공지위치공개공지편의시설구군명데이터기준일자위도경도
0월드밸리107.25부산광역시 중구 대청로 60부산광역시 중구 부평동2가 21994-01-111997-02-061060.613357.4지하6/지상18판매및영업1전면의자, 표지판 1부산광역시 중구2023-07-2235.102805129.026364
1대영시네마타운173.65부산광역시 중구 비프광장로 37부산광역시 중구 남포동5가 12-1 외1994-12-201999-07-122178.514239.4지하4/지상6문화및집회2전면,측면의자, 표지판 1부산광역시 중구2023-07-2235.098605129.02947
2팬오션㈜부산빌딩175.0부산광역시 중구 중앙대로 102부산광역시 중구 중앙동4가 83-5 외1994-12-312000-06-101764.021641.3지하6/지상18업무시설2전면의자, 표지판 1부산광역시 중구2023-07-2235.106721129.036526
3지앤비호텔50.84부산광역시 중구 흑교로 19부산광역시 중구 부평동3가 40-51995-03-161997-10-31785.16279.8지하4/지상10업무시설1측면의자, 표지판 1부산광역시 중구2023-07-2235.101241129.024819
4부산항만공사41.0부산광역시 중구 대교로 122부산광역시 중구 중앙동5가 15-11996-04-221998-07-293459.38003.6지하1/지상6운수시설1전면의자, 표지판 1부산광역시 중구2023-07-2235.100961129.038592
5국민은행 한국개발리스 부산지점33.96부산광역시 중구 중앙대로 91부산광역시 중구 중앙동4가 53-171996-08-021999-07-271198.86864.15지하4/지상14업무시설1측면의자부산광역시 중구2023-07-2235.105735129.035878
6관정빌딩(구.한진해운)465.53부산광역시 중구 충장대로9번길 46부산광역시 중앙동4가 79-91996-11-252003-10-0620337.840348.18지하5/지상25업무시설2전면,후면의자부산광역시 중구2023-07-2235.109262129.038741
7로데오갤러리119.8부산광역시 중구 광복로49번길 25부산광역시 중구 신창동1가 231997-08-052000-06-27979.67186.4지하3/지상7판매및영업1후면현재 건물폐쇄 미사용부산광역시 중구2023-07-2235.101583129.03011
8민주공원2033.0부산광역시 중구 민주공원길 19부산광역시 중구 영주동 산10-71997-08-181999-07-301276.25272.1지하1/지상3문화및집회1전면의자, 표지판 1부산광역시 중구2023-07-2235.109687129.02803
9한진중공업 R&D센터165.35부산광역시 중구 충장대로 6부산광역시 중구 중앙동4가 22-12002-02-282006-02-281653.524216.5지하6/지상16업무시설1전면조형물, 의자, 표지판 1부산광역시 중구2023-07-2235.104696129.037126
건축물명공개공지면적도로명주소지번주소허가일자사용승인일자대지면적연면적층수용도공개공지개소공개공지위치공개공지편의시설구군명데이터기준일자위도경도
31선경에이스111.01부산광역시 중구 흑교로67번길 30(보수동3가)부산광역시 중구 보수동3가 40-52017-12-062019-10-04866.96096.75지하1/지상20공동주택/업무시설1전면의자4, 표지판1부산광역시 중구2023-07-2235.104758129.022508
32서원블루오션F동107.39부산광역시 중구 대청로 17(보수동3가)부산광역시 중구 보수동3가 75-1 외1필지2017-12-172019-07-11610.748931.52지하1/지상20공동주택/업무시설2전면벤치2, 돌의자4, 표지판 2부산광역시 중구2023-07-2235.103653129.022012
33대신펠리체36.05부산광역시 중구 중앙대로49번길 3부산광역시 중구 중앙동2가 102018-01-312019-11-29695.66670.18지하1/지상20업무시설1전면벤치3, 연식의자1부산광역시 중구2023-07-2235.101656129.035629
34경보이리스오션 더스타62.07부산광역시 중구 대교로 133부산광역시 중구 중앙동5가 23 외22018-02-012020-04-23743.58621.93지하2층/지상20층업무시설1전면조명, 조경, 긴의자부산광역시 중구2023-07-2235.101581129.034132
35로얄스카이캐슬63.54부산광역시 중구 보수대로56번길 12부산광역시 중구 부평동4가 15-12018-03-122020-03-31735.93533.19지하1/지상9업무시설1전면평의자 3부산광역시 중구2023-07-2235.102149129.022878
36프리미엄안단테109.29부산광역시 중구 해관로 23부산광역시 중구 중앙동1가 23-2 외12018-07-052020-03-26588.49942.01지하1/지상20업무시설1전면평의자3, 금목서1, 급수전1,표지판1부산광역시 중구2023-07-2235.100984129.03334
37보수 에코팰리스109.03부산광역시 중구 흑교로71번길 24부산광역시 중구 보수동3가 27-6 일원2019-03-182020-07-27613.77140.3856지하1/지상20공동주택/업무시설3전면, 측면의자, 표지판부산광역시 중구2023-07-2235.1046129.0215
38KH마이우스66.69부산광역시 중구 중앙대로 120부산광역시 중구 중앙동4가 82-82019-04-032021-07-152261.25428.92지하1/지상22근린생활시설/업무시설1전면평의자부산광역시 중구2023-07-2235.108167129.03706
39목연정 M팰리스76.92부산광역시 중구 흑교로21번길 17부산광역시 중구 부평동4가 24-22019-09-252021-02-04448.95757.09지하0/지상19공동주택/업무시설1측면긴의자, 앉음벽, 볼라드등부산광역시 중구2023-07-2235.101343129.023307
40세연빌리브82.69부산광역시 중구 대청로53번길 16부산광역시 중구 보수동1가 104-92020-08-212022-01-21400.22501.86지하1/지상11업무시설1전면표지판1, 평의자1부산광역시 중구2023-07-2235.103819129.025817