Overview

Dataset statistics

Number of variables11
Number of observations110
Missing cells113
Missing cells (%)9.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.0 KiB
Average record size in memory93.2 B

Variable types

Categorical4
Text2
Numeric3
DateTime1
Unsupported1

Dataset

Description서울특별시 성북구 민간 공사 현황에 대한 데이터로, 항목명으로는 건축구분, 대지위치, 지목, 대지면적, 건축면적, 연면적, 허가일, 착공처리일, 공사종료일, 주용도, 데이터기준일자가 포함되어 있습니다.
Author서울특별시 성북구
URLhttps://www.data.go.kr/data/15109037/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
대지면적 is highly overall correlated with 건축면적 and 2 other fieldsHigh correlation
건축면적 is highly overall correlated with 대지면적 and 2 other fieldsHigh correlation
연면적 is highly overall correlated with 대지면적 and 2 other fieldsHigh correlation
지목 is highly overall correlated with 주용도High correlation
주용도 is highly overall correlated with 대지면적 and 3 other fieldsHigh correlation
건축구분 is highly imbalanced (92.5%)Imbalance
지목 is highly imbalanced (86.9%)Imbalance
착공처리일 has 3 (2.7%) missing valuesMissing
공사종료일 has 110 (100.0%) missing valuesMissing
대지위치 has unique valuesUnique
연면적 has unique valuesUnique
공사종료일 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 06:36:14.504210
Analysis finished2023-12-12 06:36:16.461073
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
신축
109 
대수선
 
1

Length

Max length3
Median length2
Mean length2.0090909
Min length2

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row신축
2nd row신축
3rd row신축
4th row신축
5th row신축

Common Values

ValueCountFrequency (%)
신축 109
99.1%
대수선 1
 
0.9%

Length

2023-12-12T15:36:16.540704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:16.659516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 109
99.1%
대수선 1
 
0.9%

대지위치
Text

UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T15:36:16.960403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length22.154545
Min length17

Characters and Unicode

Total characters2437
Distinct characters55
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)100.0%

Sample

1st row서울특별시 성북구 성북동 300-3 외1필지
2nd row서울특별시 성북구 하월곡동 174
3rd row서울특별시 성북구 정릉동 800-43 외2필지
4th row서울특별시 성북구 정릉동 266-13
5th row서울특별시 성북구 석관동 178-11(179-20) 같은현장
ValueCountFrequency (%)
서울특별시 110
22.6%
성북구 110
22.6%
외1필지 27
 
5.6%
정릉동 26
 
5.3%
성북동 24
 
4.9%
종암동 9
 
1.9%
장위동 8
 
1.6%
석관동 7
 
1.4%
하월곡동 6
 
1.2%
외2필지 5
 
1.0%
Other values (138) 154
31.7%
2023-12-12T15:36:17.613806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
376
 
15.4%
북 135
 
5.5%
성 135
 
5.5%
1 133
 
5.5%
동 120
 
4.9%
울 110
 
4.5%
구 110
 
4.5%
서 110
 
4.5%
시 110
 
4.5%
별 110
 
4.5%
Other values (45) 988
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1389
57.0%
Decimal Number 569
23.3%
Space Separator 376
 
15.4%
Dash Punctuation 97
 
4.0%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 135
9.7%
성 135
9.7%
동 120
8.6%
울 110
 
7.9%
구 110
 
7.9%
서 110
 
7.9%
시 110
 
7.9%
별 110
 
7.9%
특 110
 
7.9%
지 45
 
3.2%
Other values (30) 294
21.2%
Decimal Number
ValueCountFrequency (%)
1 133
23.4%
3 72
12.7%
2 70
12.3%
6 51
 
9.0%
5 50
 
8.8%
4 45
 
7.9%
9 41
 
7.2%
7 37
 
6.5%
8 36
 
6.3%
0 34
 
6.0%
Space Separator
ValueCountFrequency (%)
376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1389
57.0%
Common 1048
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 135
9.7%
성 135
9.7%
동 120
8.6%
울 110
 
7.9%
구 110
 
7.9%
서 110
 
7.9%
시 110
 
7.9%
별 110
 
7.9%
특 110
 
7.9%
지 45
 
3.2%
Other values (30) 294
21.2%
Common
ValueCountFrequency (%)
376
35.9%
1 133
 
12.7%
- 97
 
9.3%
3 72
 
6.9%
2 70
 
6.7%
6 51
 
4.9%
5 50
 
4.8%
4 45
 
4.3%
9 41
 
3.9%
7 37
 
3.5%
Other values (5) 76
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1389
57.0%
ASCII 1048
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
376
35.9%
1 133
 
12.7%
- 97
 
9.3%
3 72
 
6.9%
2 70
 
6.7%
6 51
 
4.9%
5 50
 
4.8%
4 45
 
4.3%
9 41
 
3.9%
7 37
 
3.5%
Other values (5) 76
 
7.3%
Hangul
ValueCountFrequency (%)
북 135
9.7%
성 135
9.7%
동 120
8.6%
울 110
 
7.9%
구 110
 
7.9%
서 110
 
7.9%
시 110
 
7.9%
별 110
 
7.9%
특 110
 
7.9%
지 45
 
3.2%
Other values (30) 294
21.2%

지목
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1012.0 B
대
108 
종교용지
 
2

Length

Max length4
Median length1
Mean length1.0545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대
2nd row대
3rd row대
4th row대
5th row대

Common Values

ValueCountFrequency (%)
대 108
98.2%
종교용지 2
 
1.8%

Length

2023-12-12T15:36:18.114226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:18.241797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 108
98.2%
종교용지 2
 
1.8%

대지면적
Real number (ℝ)

HIGH CORRELATION 

Distinct109
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6281.1677
Minimum1.223
Maximum640850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T15:36:18.393971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.223
5-th percentile118.25
Q1189.375
median293.75
Q3468.625
95-th percentile1097.55
Maximum640850
Range640848.78
Interquartile range (IQR)279.25

Descriptive statistics

Standard deviation61062.111
Coefficient of variation (CV)9.7214585
Kurtosis109.97581
Mean6281.1677
Median Absolute Deviation (MAD)112
Skewness10.48638
Sum690928.44
Variance3.7285813 × 109
MonotonicityNot monotonic
2023-12-12T15:36:18.568305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
254.0 2
 
1.8%
181.0 1
 
0.9%
271.0 1
 
0.9%
919.09 1
 
0.9%
450.0 1
 
0.9%
183.75 1
 
0.9%
354.24 1
 
0.9%
618.0 1
 
0.9%
989.0 1
 
0.9%
138.1 1
 
0.9%
Other values (99) 99
90.0%
ValueCountFrequency (%)
1.223 1
0.9%
69.0 1
0.9%
84.3 1
0.9%
92.72 1
0.9%
113.14 1
0.9%
116.0 1
0.9%
121.0 1
0.9%
122.0 1
0.9%
126.78 1
0.9%
131.09 1
0.9%
ValueCountFrequency (%)
640850.0 1
0.9%
5164.4 1
0.9%
3185.2 1
0.9%
2957.0 1
0.9%
1161.74 1
0.9%
1125.0 1
0.9%
1064.0 1
0.9%
1003.0 1
0.9%
989.0 1
0.9%
919.09 1
0.9%

건축면적
Real number (ℝ)

HIGH CORRELATION 

Distinct109
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean402.28859
Minimum32.78
Maximum20614.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T15:36:18.716326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32.78
5-th percentile64.2625
Q1109.57
median158.78
Q3218.5475
95-th percentile674.0405
Maximum20614.4
Range20581.62
Interquartile range (IQR)108.9775

Descriptive statistics

Standard deviation1958.5197
Coefficient of variation (CV)4.8684445
Kurtosis106.87452
Mean402.28859
Median Absolute Deviation (MAD)55.67
Skewness10.272969
Sum44251.745
Variance3835799.3
MonotonicityNot monotonic
2023-12-12T15:36:18.857560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.2 2
 
1.8%
72.1 1
 
0.9%
212.47 1
 
0.9%
469.1 1
 
0.9%
254.59 1
 
0.9%
103.57 1
 
0.9%
212.46 1
 
0.9%
185.22 1
 
0.9%
295.74 1
 
0.9%
145.68 1
 
0.9%
Other values (99) 99
90.0%
ValueCountFrequency (%)
32.78 1
0.9%
46.32 1
0.9%
48.58 1
0.9%
60.45 1
0.9%
60.98 1
0.9%
63.25 1
0.9%
65.5 1
0.9%
66.38 1
0.9%
71.12 1
0.9%
72.1 1
0.9%
ValueCountFrequency (%)
20614.4 1
0.9%
1843.92 1
0.9%
1168.65 1
0.9%
950.27 1
0.9%
733.62 1
0.9%
674.18 1
0.9%
673.87 1
0.9%
534.71 1
0.9%
479.48 1
0.9%
469.1 1
0.9%

연면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct110
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9488.6762
Minimum115.77
Maximum920314.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T15:36:18.998790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum115.77
5-th percentile214.099
Q1398.15
median623.63
Q3929.86
95-th percentile3586.084
Maximum920314.44
Range920198.67
Interquartile range (IQR)531.71

Descriptive statistics

Standard deviation87665.652
Coefficient of variation (CV)9.2389761
Kurtosis109.87061
Mean9488.6762
Median Absolute Deviation (MAD)233.46
Skewness10.478987
Sum1043754.4
Variance7.6852666 × 109
MonotonicityNot monotonic
2023-12-12T15:36:19.163161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
333.84 1
 
0.9%
816.63 1
 
0.9%
1896.48 1
 
0.9%
1503.24 1
 
0.9%
488.64 1
 
0.9%
854.55 1
 
0.9%
663.48 1
 
0.9%
951.62 1
 
0.9%
507.82 1
 
0.9%
232.1 1
 
0.9%
Other values (100) 100
90.9%
ValueCountFrequency (%)
115.77 1
0.9%
128.71 1
0.9%
134.81 1
0.9%
197.87 1
0.9%
199.8 1
0.9%
199.96 1
0.9%
231.38 1
0.9%
232.1 1
0.9%
248.67 1
0.9%
249.7 1
0.9%
ValueCountFrequency (%)
920314.44 1
0.9%
13978.51 1
0.9%
13688.17 1
0.9%
9820.18 1
0.9%
5924.97 1
0.9%
4166.89 1
0.9%
2876.21 1
0.9%
2665.69 1
0.9%
2520.08 1
0.9%
2427.55 1
0.9%

허가일
Text

Distinct94
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2023-12-12T15:36:19.475453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1100
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

Unique79 ?
Unique (%)71.8%

Sample

1st row2018-08-24
2nd row2019-09-05
3rd row2020-07-02
4th row2020-08-11
5th row2020-09-03
ValueCountFrequency (%)
2021-09-30 3
 
2.7%
2020-09-03 2
 
1.8%
2021-12-23 2
 
1.8%
2021-12-16 2
 
1.8%
2020-06-01 2
 
1.8%
2021-07-05 2
 
1.8%
2021-09-07 2
 
1.8%
2022-02-04 2
 
1.8%
2022-06-20 2
 
1.8%
2022-07-14 2
 
1.8%
Other values (84) 89
80.9%
2023-12-12T15:36:19.961376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 312
28.4%
0 267
24.3%
- 220
20.0%
1 132
12.0%
9 38
 
3.5%
3 29
 
2.6%
7 23
 
2.1%
5 21
 
1.9%
6 21
 
1.9%
4 20
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 880
80.0%
Dash Punctuation 220
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 312
35.5%
0 267
30.3%
1 132
15.0%
9 38
 
4.3%
3 29
 
3.3%
7 23
 
2.6%
5 21
 
2.4%
6 21
 
2.4%
4 20
 
2.3%
8 17
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1100
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 312
28.4%
0 267
24.3%
- 220
20.0%
1 132
12.0%
9 38
 
3.5%
3 29
 
2.6%
7 23
 
2.1%
5 21
 
1.9%
6 21
 
1.9%
4 20
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 312
28.4%
0 267
24.3%
- 220
20.0%
1 132
12.0%
9 38
 
3.5%
3 29
 
2.6%
7 23
 
2.1%
5 21
 
1.9%
6 21
 
1.9%
4 20
 
1.8%

착공처리일
Date

MISSING 

Distinct88
Distinct (%)82.2%
Missing3
Missing (%)2.7%
Memory size1012.0 B
Minimum2019-05-28 00:00:00
Maximum2022-10-18 00:00:00
2023-12-12T15:36:20.148862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:36:20.337741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공사종료일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing110
Missing (%)100.0%
Memory size1.1 KiB

주용도
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size1012.0 B
공동주택
45 
단독주택
36 
제2종근린생활시설
11 
업무시설
8 
문화및집회시설
 
3
Other values (6)
7 

Length

Max length14
Median length4
Mean length4.8363636
Min length4

Unique

Unique5 ?
Unique (%)4.5%

Sample

1st row제2종근린생활시설
2nd row공동주택
3rd row공동주택
4th row공동주택
5th row업무시설

Common Values

ValueCountFrequency (%)
공동주택 45
40.9%
단독주택 36
32.7%
제2종근린생활시설 11
 
10.0%
업무시설 8
 
7.3%
문화및집회시설 3
 
2.7%
제1종근린생활시설 2
 
1.8%
종교시설 1
 
0.9%
노유자시설 1
 
0.9%
교육연구시설 1
 
0.9%
공동주택(기숙사) 1
 
0.9%

Length

2023-12-12T15:36:20.487545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공동주택 45
40.5%
단독주택 36
32.4%
제2종근린생활시설 11
 
9.9%
업무시설 8
 
7.2%
문화및집회시설 3
 
2.7%
제1종근린생활시설 2
 
1.8%
종교시설 1
 
0.9%
노유자시설 1
 
0.9%
교육연구시설 1
 
0.9%
공동주택(기숙사 1
 
0.9%
Other values (2) 2
 
1.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1012.0 B
2022-10-18
110 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-18
2nd row2022-10-18
3rd row2022-10-18
4th row2022-10-18
5th row2022-10-18

Common Values

ValueCountFrequency (%)
2022-10-18 110
100.0%

Length

2023-12-12T15:36:20.614599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:20.721300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-18 110
100.0%

Interactions

2023-12-12T15:36:15.889204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:36:15.319565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:36:15.634172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:36:15.988602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:36:15.445029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:36:15.726124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:36:16.080912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:36:15.536777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:36:15.805778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:36:20.797203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건축구분지목대지면적건축면적연면적허가일착공처리일주용도
건축구분1.0000.0000.0000.0000.0001.0000.0000.000
지목0.0001.0000.0000.0000.0001.0001.0000.799
대지면적0.0000.0001.0000.6940.6940.000NaN1.000
건축면적0.0000.0000.6941.0000.6940.000NaN1.000
연면적0.0000.0000.6940.6941.0000.000NaN1.000
허가일1.0001.0000.0000.0000.0001.0000.9750.000
착공처리일0.0001.000NaNNaNNaN0.9751.0000.035
주용도0.0000.7991.0001.0001.0000.0000.0351.000
2023-12-12T15:36:20.914384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건축구분주용도지목
건축구분1.0000.0000.000
주용도0.0001.0000.758
지목0.0000.7581.000
2023-12-12T15:36:21.006851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대지면적건축면적연면적건축구분지목주용도
대지면적1.0000.8970.7620.0000.0000.957
건축면적0.8971.0000.8470.0000.0000.957
연면적0.7620.8471.0000.0000.0000.957
건축구분0.0000.0000.0001.0000.0000.000
지목0.0000.0000.0000.0001.0000.758
주용도0.9570.9570.9570.0000.7581.000

Missing values

2023-12-12T15:36:16.205047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:36:16.404028image/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

건축구분대지위치지목대지면적건축면적연면적허가일착공처리일공사종료일주용도데이터기준일자
0신축서울특별시 성북구 성북동 300-3 외1필지대181.072.1333.842018-08-242021-12-16<NA>제2종근린생활시설2022-10-18
1신축서울특별시 성북구 하월곡동 174대276.0136.98728.212019-09-052022-03-11<NA>공동주택2022-10-18
2신축서울특별시 성북구 정릉동 800-43 외2필지대1125.0673.872131.182020-07-022021-05-06<NA>공동주택2022-10-18
3신축서울특별시 성북구 정릉동 266-13대287.34172.27777.722020-08-112021-08-11<NA>공동주택2022-10-18
4신축서울특별시 성북구 석관동 178-11(179-20) 같은현장대168.082.2747.522020-09-032021-12-06<NA>업무시설2022-10-18
5신축서울특별시 성북구 석관동 179-20 외1필지대250.0162.131084.152020-09-032021-12-06<NA>공동주택2022-10-18
6신축서울특별시 성북구 성북동 1-65대464.5139.0768.52020-09-092021-01-28<NA>문화및집회시설2022-10-18
7신축서울특별시 성북구 성북동 178-23대332.0188.6687.592020-09-292021-08-10<NA>공동주택2022-10-18
8신축서울특별시 성북구 보문동2가 42 외5필지대627.7327.292427.552020-11-122021-01-15<NA>업무시설2022-10-18
9신축서울특별시 성북구 안암동5가 86-27 외3필지대309.0154.42599.962022-04-212022-09-01<NA>제2종근린생활시설2022-10-18
건축구분대지위치지목대지면적건축면적연면적허가일착공처리일공사종료일주용도데이터기준일자
100신축서울특별시 성북구 정릉동 109-24 외1필지대379.0226.141012.752022-03-252022-09-23<NA>업무시설2022-10-18
101신축서울특별시 성북구 종암동 7-6 외1필지대809.0373.022876.212021-05-062022-09-23<NA>노유자시설2022-10-18
102신축서울특별시 성북구 종암동 62-29 외1필지대287.0143.45775.252022-01-052022-09-28<NA>단독주택2022-10-18
103신축서울특별시 성북구 길음동 1238대333.9166.73864.582021-09-172022-10-07<NA>공동주택2022-10-18
104신축서울특별시 성북구 정릉동 290-40 외3필지대315.81181.54840.92022-03-152022-10-12<NA>단독주택2022-10-18
105신축서울특별시 성북구 정릉동 266-485대164.097.43426.82022-04-262022-10-14<NA>단독주택2022-10-18
106신축서울특별시 성북구 성북동 330-448 외1필지대1003.0298.75965.032022-06-172022-10-18<NA>단독주택2022-10-18
107신축서울특별시 성북구 안암동5가 1-2번지대640850.020614.4920314.442017-00-00<NA><NA>교육연구시설2022-10-18
108신축서울특별시 성북구 동소문동6가 261-2대5164.41843.9213978.512017-00-00<NA><NA>공동주택(기숙사)2022-10-18
109신축서울특별시 성북구 하월곡동 88-222 외2필지대1.223733.6213688.172020-00-00<NA><NA>공동주택(도시형 생활주택)2022-10-18