Overview

Dataset statistics

Number of variables16
Number of observations58
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory135.3 B

Variable types

Text6
Numeric4
DateTime3
Categorical3

Dataset

Description부산광역시 동래구 관내 공개공지 현황에 대한 데이터로 구군명, 건축물명, 층수, 용도, 공개공지위치, 공개공지편의시설, 공개공지개수, 연면적, 허가일자, 사용승인일자, 데이터기준일자, 도로명주소, 지번주소, 위도, 경도 등의 항목을 제공합니다.
Author부산광역시 동래구
URLhttps://www.data.go.kr/data/15039195/fileData.do

Alerts

구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
공개공지면적 is highly overall correlated with 연면적 and 1 other fieldsHigh correlation
연면적 is highly overall correlated with 공개공지면적High correlation
공개공지위치 is highly overall correlated with 공개공지면적High correlation
공개공지개소 is highly imbalanced (53.1%)Imbalance
공개공지편의시설 has 1 (1.7%) missing valuesMissing
건축물명 has unique valuesUnique
공개공지면적 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique
허가일자 has unique valuesUnique
연면적 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:55:39.021071
Analysis finished2023-12-12 07:55:41.391114
Duration2.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축물명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T16:55:41.640842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.0689655
Min length4

Characters and Unicode

Total characters410
Distinct characters170
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

Unique58 ?
Unique (%)100.0%

Sample

1st row참사랑요양병원
2nd row온천 사랑의요양병원
3rd row메가마트
4th row불이빌딩
5th rowSK텔레콤
ValueCountFrequency (%)
온천동 5
 
6.2%
더 2
 
2.5%
참사랑요양병원 1
 
1.2%
라임 1
 
1.2%
용진스타티스7차 1
 
1.2%
hmc오네뜨메디컬센터 1
 
1.2%
힐스테이트명륜트라디움 1
 
1.2%
동래롯데캐슬퀸 1
 
1.2%
kh파인우스 1
 
1.2%
제이에스엠빌딩 1
 
1.2%
Other values (66) 66
81.5%
2023-12-12T16:55:42.106715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
5.6%
동 15
 
3.7%
이 15
 
3.7%
스 13
 
3.2%
래 9
 
2.2%
온 9
 
2.2%
천 9
 
2.2%
원 7
 
1.7%
트 6
 
1.5%
더 6
 
1.5%
Other values (160) 298
72.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
87.6%
Space Separator 23
 
5.6%
Uppercase Letter 14
 
3.4%
Decimal Number 8
 
2.0%
Lowercase Letter 3
 
0.7%
Letter Number 1
 
0.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 15
 
4.2%
이 15
 
4.2%
스 13
 
3.6%
래 9
 
2.5%
온 9
 
2.5%
천 9
 
2.5%
원 7
 
1.9%
트 6
 
1.7%
더 6
 
1.7%
티 6
 
1.7%
Other values (140) 264
73.5%
Uppercase Letter
ValueCountFrequency (%)
K 4
28.6%
S 3
21.4%
H 2
14.3%
M 1
 
7.1%
C 1
 
7.1%
N 1
 
7.1%
P 1
 
7.1%
R 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
3 3
37.5%
4 2
25.0%
5 1
 
12.5%
1 1
 
12.5%
7 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
s 1
33.3%
w 1
33.3%
Space Separator
ValueCountFrequency (%)
23
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
87.6%
Common 33
 
8.0%
Latin 18
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 15
 
4.2%
이 15
 
4.2%
스 13
 
3.6%
래 9
 
2.5%
온 9
 
2.5%
천 9
 
2.5%
원 7
 
1.9%
트 6
 
1.7%
더 6
 
1.7%
티 6
 
1.7%
Other values (140) 264
73.5%
Latin
ValueCountFrequency (%)
K 4
22.2%
S 3
16.7%
H 2
11.1%
M 1
 
5.6%
C 1
 
5.6%
N 1
 
5.6%
k 1
 
5.6%
s 1
 
5.6%
P 1
 
5.6%
R 1
 
5.6%
Other values (2) 2
11.1%
Common
ValueCountFrequency (%)
23
69.7%
3 3
 
9.1%
4 2
 
6.1%
5 1
 
3.0%
1 1
 
3.0%
7 1
 
3.0%
) 1
 
3.0%
( 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
87.6%
ASCII 50
 
12.2%
Number Forms 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
46.0%
K 4
 
8.0%
S 3
 
6.0%
3 3
 
6.0%
H 2
 
4.0%
4 2
 
4.0%
M 1
 
2.0%
C 1
 
2.0%
5 1
 
2.0%
1 1
 
2.0%
Other values (9) 9
 
18.0%
Hangul
ValueCountFrequency (%)
동 15
 
4.2%
이 15
 
4.2%
스 13
 
3.6%
래 9
 
2.5%
온 9
 
2.5%
천 9
 
2.5%
원 7
 
1.9%
트 6
 
1.7%
더 6
 
1.7%
티 6
 
1.7%
Other values (140) 264
73.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

공개공지면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean537.8481
Minimum28.56
Maximum5781.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-12T16:55:42.282521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28.56
5-th percentile41.7365
Q184.7375
median169.425
Q3418.175
95-th percentile2480.4275
Maximum5781.53
Range5752.97
Interquartile range (IQR)333.4375

Descriptive statistics

Standard deviation1000.3629
Coefficient of variation (CV)1.8599358
Kurtosis14.257873
Mean537.8481
Median Absolute Deviation (MAD)109.15
Skewness3.5155366
Sum31195.19
Variance1000726
MonotonicityNot monotonic
2023-12-12T16:55:42.492020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150.6 1
 
1.7%
63.0 1
 
1.7%
590.15 1
 
1.7%
60.93 1
 
1.7%
292.06 1
 
1.7%
214.52 1
 
1.7%
441.79 1
 
1.7%
758.12 1
 
1.7%
95.81 1
 
1.7%
72.78 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
28.56 1
1.7%
38.14 1
1.7%
39.11 1
1.7%
42.2 1
1.7%
46.56 1
1.7%
55.7 1
1.7%
59.68 1
1.7%
60.87 1
1.7%
60.93 1
1.7%
63.0 1
1.7%
ValueCountFrequency (%)
5781.53 1
1.7%
3678.46 1
1.7%
2716.26 1
1.7%
2438.81 1
1.7%
1862.55 1
1.7%
1501.55 1
1.7%
1408.19 1
1.7%
1291.08 1
1.7%
929.92 1
1.7%
758.12 1
1.7%

도로명주소
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T16:55:42.804952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length19.258621
Min length15

Characters and Unicode

Total characters1117
Distinct characters55
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

Unique58 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 충렬대로 258
2nd row부산광역시 동래구 금강공원로 40
3rd row부산광역시 동래구 충렬대로 197
4th row부산광역시 동래구 충렬대로 200
5th row부산광역시 동래구 충렬대로 412
ValueCountFrequency (%)
부산광역시 58
24.6%
동래구 58
24.6%
충렬대로 9
 
3.8%
온천장로 6
 
2.5%
중앙대로 5
 
2.1%
12 3
 
1.3%
아시아드대로 3
 
1.3%
7 3
 
1.3%
4 3
 
1.3%
금강공원로 3
 
1.3%
Other values (78) 85
36.0%
2023-12-12T16:55:43.242022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
178
15.9%
시 63
 
5.6%
동 62
 
5.6%
래 62
 
5.6%
부 58
 
5.2%
광 58
 
5.2%
역 58
 
5.2%
구 58
 
5.2%
산 58
 
5.2%
로 58
 
5.2%
Other values (45) 404
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 748
67.0%
Decimal Number 190
 
17.0%
Space Separator 178
 
15.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 63
 
8.4%
동 62
 
8.3%
래 62
 
8.3%
부 58
 
7.8%
광 58
 
7.8%
역 58
 
7.8%
구 58
 
7.8%
산 58
 
7.8%
로 58
 
7.8%
번 26
 
3.5%
Other values (33) 187
25.0%
Decimal Number
ValueCountFrequency (%)
1 39
20.5%
2 29
15.3%
3 25
13.2%
4 22
11.6%
5 19
10.0%
7 16
8.4%
9 12
 
6.3%
6 10
 
5.3%
8 9
 
4.7%
0 9
 
4.7%
Space Separator
ValueCountFrequency (%)
178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 748
67.0%
Common 369
33.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 63
 
8.4%
동 62
 
8.3%
래 62
 
8.3%
부 58
 
7.8%
광 58
 
7.8%
역 58
 
7.8%
구 58
 
7.8%
산 58
 
7.8%
로 58
 
7.8%
번 26
 
3.5%
Other values (33) 187
25.0%
Common
ValueCountFrequency (%)
178
48.2%
1 39
 
10.6%
2 29
 
7.9%
3 25
 
6.8%
4 22
 
6.0%
5 19
 
5.1%
7 16
 
4.3%
9 12
 
3.3%
6 10
 
2.7%
8 9
 
2.4%
Other values (2) 10
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 748
67.0%
ASCII 369
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
178
48.2%
1 39
 
10.6%
2 29
 
7.9%
3 25
 
6.8%
4 22
 
6.0%
5 19
 
5.1%
7 16
 
4.3%
9 12
 
3.3%
6 10
 
2.7%
8 9
 
2.4%
Other values (2) 10
 
2.7%
Hangul
ValueCountFrequency (%)
시 63
 
8.4%
동 62
 
8.3%
래 62
 
8.3%
부 58
 
7.8%
광 58
 
7.8%
역 58
 
7.8%
구 58
 
7.8%
산 58
 
7.8%
로 58
 
7.8%
번 26
 
3.5%
Other values (33) 187
25.0%

지번주소
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T16:55:43.483445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length19.844828
Min length17

Characters and Unicode

Total characters1151
Distinct characters37
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

Unique58 ?
Unique (%)100.0%

Sample

1st row부산광역시 동래구 낙민동 289 외 3팔지안락동 433-1
2nd row부산광역시 동래구 온천동 210-88
3rd row부산광역시 동래구 명륜동 506-3
4th row부산광역시 동래구 수안동 665-8
5th row부산광역시 동래구 안락동 606-1
ValueCountFrequency (%)
부산광역시 58
23.7%
동래구 58
23.7%
온천동 30
12.2%
사직동 8
 
3.3%
외 6
 
2.4%
안락동 6
 
2.4%
명륜동 5
 
2.0%
명장동 3
 
1.2%
낙민동 3
 
1.2%
수안동 3
 
1.2%
Other values (63) 65
26.5%
2023-12-12T16:55:44.183201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
16.3%
동 117
 
10.2%
1 63
 
5.5%
부 58
 
5.0%
광 58
 
5.0%
역 58
 
5.0%
시 58
 
5.0%
래 58
 
5.0%
구 58
 
5.0%
산 58
 
5.0%
Other values (27) 377
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 661
57.4%
Decimal Number 253
 
22.0%
Space Separator 188
 
16.3%
Dash Punctuation 49
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 117
17.7%
부 58
8.8%
광 58
8.8%
역 58
8.8%
시 58
8.8%
래 58
8.8%
구 58
8.8%
산 58
8.8%
온 30
 
4.5%
천 30
 
4.5%
Other values (15) 78
11.8%
Decimal Number
ValueCountFrequency (%)
1 63
24.9%
3 31
12.3%
4 30
11.9%
8 28
11.1%
2 27
10.7%
5 20
 
7.9%
0 17
 
6.7%
6 17
 
6.7%
7 11
 
4.3%
9 9
 
3.6%
Space Separator
ValueCountFrequency (%)
188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 661
57.4%
Common 490
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 117
17.7%
부 58
8.8%
광 58
8.8%
역 58
8.8%
시 58
8.8%
래 58
8.8%
구 58
8.8%
산 58
8.8%
온 30
 
4.5%
천 30
 
4.5%
Other values (15) 78
11.8%
Common
ValueCountFrequency (%)
188
38.4%
1 63
 
12.9%
- 49
 
10.0%
3 31
 
6.3%
4 30
 
6.1%
8 28
 
5.7%
2 27
 
5.5%
5 20
 
4.1%
0 17
 
3.5%
6 17
 
3.5%
Other values (2) 20
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 661
57.4%
ASCII 490
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
38.4%
1 63
 
12.9%
- 49
 
10.0%
3 31
 
6.3%
4 30
 
6.1%
8 28
 
5.7%
2 27
 
5.5%
5 20
 
4.1%
0 17
 
3.5%
6 17
 
3.5%
Other values (2) 20
 
4.1%
Hangul
ValueCountFrequency (%)
동 117
17.7%
부 58
8.8%
광 58
8.8%
역 58
8.8%
시 58
8.8%
래 58
8.8%
구 58
8.8%
산 58
8.8%
온 30
 
4.5%
천 30
 
4.5%
Other values (15) 78
11.8%

허가일자
Date

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum1978-04-27 00:00:00
Maximum2022-03-21 00:00:00
2023-12-12T16:55:44.378942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:44.570877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용승인일자
Date

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum1978-11-25 00:00:00
Maximum2023-07-26 00:00:00
2023-12-12T16:55:44.750451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:44.965905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

연면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33606.503
Minimum1529.35
Maximum228198.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-12T16:55:45.181538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1529.35
5-th percentile1923.418
Q15841.3425
median9339.11
Q333269.66
95-th percentile165041.31
Maximum228198.18
Range226668.83
Interquartile range (IQR)27428.317

Descriptive statistics

Standard deviation56314.993
Coefficient of variation (CV)1.6757171
Kurtosis4.9902605
Mean33606.503
Median Absolute Deviation (MAD)5724.175
Skewness2.435009
Sum1949177.2
Variance3.1713784 × 109
MonotonicityNot monotonic
2023-12-12T16:55:45.370718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9609.21 1
 
1.7%
2330.873 1
 
1.7%
67748.662 1
 
1.7%
6562.55 1
 
1.7%
5817.31 1
 
1.7%
17176.8468 1
 
1.7%
35684.4335 1
 
1.7%
151490.411 1
 
1.7%
11930.27 1
 
1.7%
7093.035 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
1529.35 1
1.7%
1794.26 1
1.7%
1904.99 1
1.7%
1926.67 1
1.7%
2300.66 1
1.7%
2305.9 1
1.7%
2330.873 1
1.7%
4456.59 1
1.7%
4635.12 1
1.7%
4813.55 1
1.7%
ValueCountFrequency (%)
228198.18 1
1.7%
223428.0 1
1.7%
201609.414 1
1.7%
158588.11 1
1.7%
151490.411 1
1.7%
146758.77 1
1.7%
120124.52 1
1.7%
67748.662 1
1.7%
44346.48 1
1.7%
37069.85 1
1.7%

층수
Text

Distinct46
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T16:55:45.668977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length8.9137931
Min length4

Characters and Unicode

Total characters517
Distinct characters15
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

Unique39 ?
Unique (%)67.2%

Sample

1st row지하1층/지상14층
2nd row지하3층/지상15층
3rd row지하1/지상2
4th row지하3/지상12
5th row지하2/지상7
ValueCountFrequency (%)
지하1층/지상15층 5
 
8.6%
지하1층/지상20층 4
 
6.9%
지하2층/지상10층 2
 
3.4%
지하3/지상12 2
 
3.4%
지상12층 2
 
3.4%
지하1층/지상6층 2
 
3.4%
지하1/지상15 2
 
3.4%
지하6층/지상49층 1
 
1.7%
지하5층/지상38층 1
 
1.7%
지하1층/지상14층 1
 
1.7%
Other values (36) 36
62.1%
2023-12-12T16:55:46.098983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 112
21.7%
층 80
15.5%
상 58
11.2%
하 54
10.4%
/ 54
10.4%
1 52
10.1%
2 27
 
5.2%
5 21
 
4.1%
4 16
 
3.1%
3 15
 
2.9%
Other values (5) 28
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 304
58.8%
Decimal Number 159
30.8%
Other Punctuation 54
 
10.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 52
32.7%
2 27
17.0%
5 21
13.2%
4 16
 
10.1%
3 15
 
9.4%
0 11
 
6.9%
9 7
 
4.4%
6 4
 
2.5%
8 4
 
2.5%
7 2
 
1.3%
Other Letter
ValueCountFrequency (%)
지 112
36.8%
층 80
26.3%
상 58
19.1%
하 54
17.8%
Other Punctuation
ValueCountFrequency (%)
/ 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 304
58.8%
Common 213
41.2%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 54
25.4%
1 52
24.4%
2 27
12.7%
5 21
 
9.9%
4 16
 
7.5%
3 15
 
7.0%
0 11
 
5.2%
9 7
 
3.3%
6 4
 
1.9%
8 4
 
1.9%
Hangul
ValueCountFrequency (%)
지 112
36.8%
층 80
26.3%
상 58
19.1%
하 54
17.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 304
58.8%
ASCII 213
41.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 112
36.8%
층 80
26.3%
상 58
19.1%
하 54
17.8%
ASCII
ValueCountFrequency (%)
/ 54
25.4%
1 52
24.4%
2 27
12.7%
5 21
 
9.9%
4 16
 
7.5%
3 15
 
7.0%
0 11
 
5.2%
9 7
 
3.3%
6 4
 
1.9%
8 4
 
1.9%

용도
Text

Distinct34
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T16:55:46.324954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length10.396552
Min length4

Characters and Unicode

Total characters603
Distinct characters42
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 (%)37.9%

Sample

1st row의료시설, 근생
2nd row의료시설
3rd row판매및영업
4th row업무시설, 근생
5th row업무시설, 통신시설
ValueCountFrequency (%)
업무시설 26
25.5%
공동주택 25
24.5%
근생 8
 
7.8%
의료시설 7
 
6.9%
제1,2종근린생활시설 6
 
5.9%
근린생활시설 5
 
4.9%
판매시설 4
 
3.9%
등 4
 
3.9%
문화및집회 3
 
2.9%
종교시설 2
 
2.0%
Other values (11) 12
11.8%
2023-12-12T16:55:46.708222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 65
 
10.8%
설 65
 
10.8%
, 58
 
9.6%
45
 
7.5%
동 31
 
5.1%
업 31
 
5.1%
공 30
 
5.0%
주 30
 
5.0%
택 30
 
5.0%
무 30
 
5.0%
Other values (32) 188
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 484
80.3%
Other Punctuation 58
 
9.6%
Space Separator 45
 
7.5%
Decimal Number 16
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 65
13.4%
설 65
13.4%
동 31
 
6.4%
업 31
 
6.4%
공 30
 
6.2%
주 30
 
6.2%
택 30
 
6.2%
무 30
 
6.2%
생 25
 
5.2%
근 25
 
5.2%
Other values (28) 122
25.2%
Decimal Number
ValueCountFrequency (%)
1 8
50.0%
2 8
50.0%
Other Punctuation
ValueCountFrequency (%)
, 58
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 484
80.3%
Common 119
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 65
13.4%
설 65
13.4%
동 31
 
6.4%
업 31
 
6.4%
공 30
 
6.2%
주 30
 
6.2%
택 30
 
6.2%
무 30
 
6.2%
생 25
 
5.2%
근 25
 
5.2%
Other values (28) 122
25.2%
Common
ValueCountFrequency (%)
, 58
48.7%
45
37.8%
1 8
 
6.7%
2 8
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 484
80.3%
ASCII 119
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 65
13.4%
설 65
13.4%
동 31
 
6.4%
업 31
 
6.4%
공 30
 
6.2%
주 30
 
6.2%
택 30
 
6.2%
무 30
 
6.2%
생 25
 
5.2%
근 25
 
5.2%
Other values (28) 122
25.2%
ASCII
ValueCountFrequency (%)
, 58
48.7%
45
37.8%
1 8
 
6.7%
2 8
 
6.7%

공개공지개소
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
1
48 
2
9 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row1
2nd row1
3rd row4
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 48
82.8%
2 9
 
15.5%
4 1
 
1.7%

Length

2023-12-12T16:55:46.860704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:55:46.956701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 48
82.8%
2 9
 
15.5%
4 1
 
1.7%

공개공지위치
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
건물 전면
34 
건물 우측면
6 
건물 후면
4 
건물 좌측면
 
3
건물 전면, 후면
 
2
Other values (8)
9 

Length

Max length15
Median length5
Mean length5.8103448
Min length4

Unique

Unique7 ?
Unique (%)12.1%

Sample

1st row건물 우측면
2nd row건물 전면
3rd row건물 전면, 후면
4th row건물 후면
5th row건물 우측면

Common Values

ValueCountFrequency (%)
건물 전면 34
58.6%
건물 우측면 6
 
10.3%
건물 후면 4
 
6.9%
건물 좌측면 3
 
5.2%
건물 전면, 후면 2
 
3.4%
건물전면 2
 
3.4%
건물 전면, 우측면, 좌측면 1
 
1.7%
건물 정면 1
 
1.7%
아파트 주위 도로 쪽 1
 
1.7%
건물전면, 우측면, 좌측면 1
 
1.7%
Other values (3) 3
 
5.2%

Length

2023-12-12T16:55:47.093431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
건물 52
43.0%
전면 38
31.4%
우측면 8
 
6.6%
후면 6
 
5.0%
좌측면 6
 
5.0%
건물전면 4
 
3.3%
정면 1
 
0.8%
아파트 1
 
0.8%
주위 1
 
0.8%
도로 1
 
0.8%
Other values (3) 3
 
2.5%

공개공지편의시설
Text

MISSING 

Distinct41
Distinct (%)71.9%
Missing1
Missing (%)1.7%
Memory size596.0 B
2023-12-12T16:55:47.274439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length32
Mean length14.122807
Min length2

Characters and Unicode

Total characters805
Distinct characters102
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)66.7%

Sample

1st row의자3
2nd row의자, 표지판
3rd row의자, 표지판 1
4th row표지판 1
5th row의자, 표지판 1
ValueCountFrequency (%)
표지판 23
 
14.9%
의자 19
 
12.3%
1 15
 
9.7%
조경 10
 
6.5%
벤치 5
 
3.2%
파고라1 4
 
2.6%
공개공지표지판1 4
 
2.6%
파고라 3
 
1.9%
의자,표지판 3
 
1.9%
평의자2 3
 
1.9%
Other values (57) 65
42.2%
2023-12-12T16:55:47.638248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
 
14.8%
, 96
 
11.9%
의 45
 
5.6%
자 45
 
5.6%
1 43
 
5.3%
지 41
 
5.1%
판 37
 
4.6%
표 34
 
4.2%
2 19
 
2.4%
조 19
 
2.4%
Other values (92) 307
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 487
60.5%
Space Separator 119
 
14.8%
Other Punctuation 98
 
12.2%
Decimal Number 93
 
11.6%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Lowercase Letter 2
 
0.2%
Math Symbol 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 45
 
9.2%
자 45
 
9.2%
지 41
 
8.4%
판 37
 
7.6%
표 34
 
7.0%
조 19
 
3.9%
경 14
 
2.9%
공 14
 
2.9%
치 14
 
2.9%
벤 14
 
2.9%
Other values (74) 210
43.1%
Decimal Number
ValueCountFrequency (%)
1 43
46.2%
2 19
20.4%
3 8
 
8.6%
8 5
 
5.4%
4 5
 
5.4%
5 5
 
5.4%
6 4
 
4.3%
0 2
 
2.2%
9 1
 
1.1%
7 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 96
98.0%
. 2
 
2.0%
Space Separator
ValueCountFrequency (%)
119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 487
60.5%
Common 315
39.1%
Latin 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 45
 
9.2%
자 45
 
9.2%
지 41
 
8.4%
판 37
 
7.6%
표 34
 
7.0%
조 19
 
3.9%
경 14
 
2.9%
공 14
 
2.9%
치 14
 
2.9%
벤 14
 
2.9%
Other values (74) 210
43.1%
Common
ValueCountFrequency (%)
119
37.8%
, 96
30.5%
1 43
 
13.7%
2 19
 
6.0%
3 8
 
2.5%
8 5
 
1.6%
4 5
 
1.6%
5 5
 
1.6%
6 4
 
1.3%
0 2
 
0.6%
Other values (6) 9
 
2.9%
Latin
ValueCountFrequency (%)
m 2
66.7%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 487
60.5%
ASCII 318
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
37.4%
, 96
30.2%
1 43
 
13.5%
2 19
 
6.0%
3 8
 
2.5%
8 5
 
1.6%
4 5
 
1.6%
5 5
 
1.6%
6 4
 
1.3%
0 2
 
0.6%
Other values (8) 12
 
3.8%
Hangul
ValueCountFrequency (%)
의 45
 
9.2%
자 45
 
9.2%
지 41
 
8.4%
판 37
 
7.6%
표 34
 
7.0%
조 19
 
3.9%
경 14
 
2.9%
공 14
 
2.9%
치 14
 
2.9%
벤 14
 
2.9%
Other values (74) 210
43.1%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
부산광역시 동래구
58 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 동래구 58
100.0%

Length

2023-12-12T16:55:47.772583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:55:47.869793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 58
50.0%
동래구 58
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2023-10-18 00:00:00
Maximum2023-10-18 00:00:00
2023-12-12T16:55:47.960525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:48.072053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

위도
Real number (ℝ)

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.20721
Minimum35.19454
Maximum35.221265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-12T16:55:48.194596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.19454
5-th percentile35.195387
Q135.200749
median35.204841
Q335.214953
95-th percentile35.219989
Maximum35.221265
Range0.026725
Interquartile range (IQR)0.014204

Descriptive statistics

Standard deviation0.0084283627
Coefficient of variation (CV)0.00023939309
Kurtosis-1.3106524
Mean35.20721
Median Absolute Deviation (MAD)0.0071805
Skewness0.26789089
Sum2042.0182
Variance7.1037298 × 10-5
MonotonicityNot monotonic
2023-12-12T16:55:48.345449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.200732 1
 
1.7%
35.197 1
 
1.7%
35.219437 1
 
1.7%
35.218572 1
 
1.7%
35.212474 1
 
1.7%
35.21821 1
 
1.7%
35.20509 1
 
1.7%
35.213575 1
 
1.7%
35.204817 1
 
1.7%
35.220987 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
35.19454 1
1.7%
35.194633 1
1.7%
35.195283 1
1.7%
35.195405 1
1.7%
35.196246 1
1.7%
35.196292 1
1.7%
35.197 1
1.7%
35.197315 1
1.7%
35.198006 1
1.7%
35.198417 1
1.7%
ValueCountFrequency (%)
35.221265 1
1.7%
35.220987 1
1.7%
35.220956 1
1.7%
35.219818 1
1.7%
35.219437 1
1.7%
35.219109 1
1.7%
35.218917 1
1.7%
35.2186 1
1.7%
35.218572 1
1.7%
35.21848 1
1.7%

경도
Real number (ℝ)

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.08123
Minimum129.06127
Maximum129.10625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-12T16:55:48.504952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.06127
5-th percentile129.06448
Q1129.0709
median129.0811
Q3129.08439
95-th percentile129.10515
Maximum129.10625
Range0.044984
Interquartile range (IQR)0.0134985

Descriptive statistics

Standard deviation0.01198965
Coefficient of variation (CV)9.2884533 × 10-5
Kurtosis-0.28245659
Mean129.08123
Median Absolute Deviation (MAD)0.0044915
Skewness0.51413969
Sum7486.7114
Variance0.0001437517
MonotonicityNot monotonic
2023-12-12T16:55:48.654377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.087281 1
 
1.7%
129.106109 1
 
1.7%
129.084292 1
 
1.7%
129.081452 1
 
1.7%
129.067927 1
 
1.7%
129.081992 1
 
1.7%
129.07892 1
 
1.7%
129.080981 1
 
1.7%
129.076669 1
 
1.7%
129.082103 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
129.06127 1
1.7%
129.06247 1
1.7%
129.063739 1
1.7%
129.064605 1
1.7%
129.06534 1
1.7%
129.065861 1
1.7%
129.066921 1
1.7%
129.067082 1
1.7%
129.067819 1
1.7%
129.067927 1
1.7%
ValueCountFrequency (%)
129.106254 1
1.7%
129.106109 1
1.7%
129.105672 1
1.7%
129.10506 1
1.7%
129.103319 1
1.7%
129.100923 1
1.7%
129.100592 1
1.7%
129.09836 1
1.7%
129.098291 1
1.7%
129.095359 1
1.7%

Interactions

2023-12-12T16:55:40.772263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:39.802624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:40.117117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:40.453630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:40.850391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:39.888973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:40.195683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:40.528584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:40.921705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:39.961270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:40.280031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:40.599804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:40.998588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:40.041117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:40.377303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:55:40.693109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:55:48.772442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건축물명공개공지면적도로명주소지번주소허가일자사용승인일자연면적층수용도공개공지개소공개공지위치공개공지편의시설위도경도
건축물명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공개공지면적1.0001.0001.0001.0001.0001.0000.9150.9850.8670.5650.8430.4230.2020.000
도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
허가일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사용승인일자1.0001.0001.0001.0001.0001.0000.0000.9811.0001.0001.0000.9690.9370.969
연면적1.0000.9151.0001.0001.0000.0001.0000.9900.4190.4610.4610.9260.2290.000
층수1.0000.9851.0001.0001.0000.9810.9901.0000.8950.8750.9410.0000.0000.654
용도1.0000.8671.0001.0001.0001.0000.4190.8951.0000.9240.9100.9160.5750.760
공개공지개소1.0000.5651.0001.0001.0001.0000.4610.8750.9241.0000.4870.0000.5900.000
공개공지위치1.0000.8431.0001.0001.0001.0000.4610.9410.9100.4871.0000.0000.0000.000
공개공지편의시설1.0000.4231.0001.0001.0000.9690.9260.0000.9160.0000.0001.0000.8350.000
위도1.0000.2021.0001.0001.0000.9370.2290.0000.5750.5900.0000.8351.0000.785
경도1.0000.0001.0001.0001.0000.9690.0000.6540.7600.0000.0000.0000.7851.000
2023-12-12T16:55:48.937704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공개공지위치공개공지개소
공개공지위치1.0000.280
공개공지개소0.2801.000
2023-12-12T16:55:49.087422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공개공지면적연면적위도경도공개공지개소공개공지위치
공개공지면적1.0000.8340.167-0.0480.4360.563
연면적0.8341.0000.4100.0030.3380.220
위도0.1670.4101.0000.0340.2960.000
경도-0.0480.0030.0341.0000.0000.000
공개공지개소0.4360.3380.2960.0001.0000.280
공개공지위치0.5630.2200.0000.0000.2801.000

Missing values

2023-12-12T16:55:41.128778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:55:41.315479image/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

건축물명공개공지면적도로명주소지번주소허가일자사용승인일자연면적층수용도공개공지개소공개공지위치공개공지편의시설구군명데이터기준일자위도경도
0참사랑요양병원150.6부산광역시 동래구 충렬대로 258부산광역시 동래구 낙민동 289 외 3팔지안락동 433-11978-04-271978-11-259609.21지하1층/지상14층의료시설, 근생1건물 우측면의자3부산광역시 동래구2023-10-1835.200732129.087281
1온천 사랑의요양병원86.17부산광역시 동래구 금강공원로 40부산광역시 동래구 온천동 210-881989-04-042016-12-2212172.11지하3층/지상15층의료시설1건물 전면의자, 표지판부산광역시 동래구2023-10-1835.219109129.080226
2메가마트2438.81부산광역시 동래구 충렬대로 197부산광역시 동래구 명륜동 506-31993-02-031993-12-3128885.81지하1/지상2판매및영업4건물 전면, 후면의자, 표지판 1부산광역시 동래구2023-10-1835.204322129.081184
3불이빌딩107.4부산광역시 동래구 충렬대로 200부산광역시 동래구 수안동 665-81994-06-141996-08-267594.0지하3/지상12업무시설, 근생1건물 후면표지판 1부산광역시 동래구2023-10-1835.202686129.081426
4SK텔레콤66.3부산광역시 동래구 충렬대로 412부산광역시 동래구 안락동 606-11994-11-211996-06-137957.0지하2/지상7업무시설, 통신시설1건물 우측면의자, 표지판 1부산광역시 동래구2023-10-1835.196292129.103319
5RP안락점135.67부산광역시 동래구 반송로 183부산광역시 동래구 낙민동 13-11995-01-182000-06-016053.31지하3층/지상3층판매시설1건물 전면조경부산광역시 동래구2023-10-1835.198006129.095359
6대한생명302.09부산광역시 동래구 충렬대로 190부산광역시 동래구 명륜동 510-61995-01-271997-12-2312908.33지하3/지상13업무시설, 근생1건물 전면, 우측면, 좌측면의자, 표지판 1부산광역시 동래구2023-10-1835.202935129.080678
7보림프라자232.74부산광역시 동래구 안남로 23부산광역시 동래구 낙민동 84-8번지1996-04-011997-07-118993.58지하2층/지상5층판매시설, 교육연구시설 등1건물 전면조경, 벤치부산광역시 동래구2023-10-1835.194633129.094915
8대신증권86.96부산광역시 동래구 충렬대로 212부산광역시 동래구 수안동 1-111996-10-021999-05-2414561.0지하5/지상13업무시설, 근생1건물 우측면파고라, 의자, 표지판 1부산광역시 동래구2023-10-1835.202088129.082452
9사직 유로빌84.26부산광역시 동래구 석사로 43부산광역시 동래구 사직동 53-52000-02-142002-03-147151.0지하1/지상15업무시설1건물 전면의자, 표지판 1부산광역시 동래구2023-10-1835.200393129.063739
건축물명공개공지면적도로명주소지번주소허가일자사용승인일자연면적층수용도공개공지개소공개공지위치공개공지편의시설구군명데이터기준일자위도경도
48여고플래티넘28.56부산광역시 동래구 미남로 52부산광역시 동래구 사직동 151-8 외 4필지2020-12-212022-01-212300.66지하1층/지상6층오피스텔, 공동주택, 제1,2종근린생활시설1건물 전면벤치4부산광역시 동래구2023-10-1835.198736129.070767
49거인병원158.64부산광역시 동래구 여고로 12부산광역시 동래구 사직동 102-52021-03-152022-10-254813.55지하2층/지상10층의료시설1건물 전면앉음벽의자1(8.58m), 화강석 바닥마감부산광역시 동래구2023-10-1835.19454129.06534
50레스틴뷰42.2부산광역시 동래구 동래로134번길 47부산광역시 동래구 명륜동 3472021-03-292023-02-141926.67지상13층업무시설1건물 전면공개공지표지판2, 평의자4부산광역시 동래구2023-10-1835.205881129.083907
51엘이즈N4160.87부산광역시 동래구 여고북로123번라길 4부산광역시 동래구 온천동 1462-412021-04-222022-07-181529.35지상12층업무시설, 공동주택1건물 전면공개공지표지판1, 평의자2, 느티나무부산광역시 동래구2023-10-1835.203115129.070912
52좋은애인요양병원120.73부산광역시 동래구 충렬대로359번길 8부산광역시 동래구 안락동 432-32021-06-112023-02-029069.01지하2층/지상8층의료시설1건물 전면표지판1, 의자부산광역시 동래구2023-10-1835.198417129.09836
53하이스트59.68부산광역시 동래구 아시아드대로164번가길 12부산광역시 동래구 사직동 64-102021-11-102023-01-021794.26지상12층업무시설1건물 전면평의자2개소(L=1,500), 공개공지표지판1, 벽부형조명등2부산광역시 동래구2023-10-1835.198602129.065861
54메종45108.07부산광역시 동래구 명안로45번길 73부산광역시 동래구 안락동 427-52022-03-212023-07-202305.9지상8층공동주택,업무시설1건물 전면평의자2,조명2,데크부산광역시 동래구2023-10-1835.201346129.100592
55이안동래센트럴시티468.16부산광역시 동래구 온천장로 65번길 10부산광역시 동래구 온천동 182-92014-05-152023-07-2636877.63지하5층/지상39층공동주택,업무시설,근린생활시설1건물 전면테이블2,등의자3,스툴6,앉음벽1,경관석3,공개공지안내판1부산광역시 동래구2023-10-1835.21781129.081719
56포르투나81.96부산광역시 동래구 온천장로 115번길부산광역시 동래구 온천동 154-182017-12-262019-06-137766.37지하1층/지상20층공동주택,업무시설,근린생활시설1건물 전면긴의자1,하드우드목재테크,무늬칼라콘크리트,현무암판석,등의자2,기타식재부산광역시 동래구2023-10-1835.220956129.084429
57동래효산벨뷰91.21부산광역시 동래구 아시아드대로 231번길 3부산광역시 동래구 온천동 1249-22018-01-192020-04-227522.71지하1층/지상20층공동주택,업무시설,제2종근린생활시설1건물 전면연식의자14부산광역시 동래구2023-10-1835.204865129.067082