Overview

Dataset statistics

Number of variables7
Number of observations1523
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory89.4 KiB
Average record size in memory60.1 B

Variable types

Text3
Categorical2
Numeric2

Dataset

Description관리번호,건축물명,건축물 위치,조사년도,조사구분(1:상반기,2:하반기),X좌표,Y좌표
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21115/S/1/datasetView.do

Alerts

조사년도 has constant value ""Constant
관리번호 has unique valuesUnique
X좌표 has 62 (4.1%) zerosZeros
Y좌표 has 62 (4.1%) zerosZeros

Reproduction

Analysis started2023-12-11 08:03:47.907808
Analysis finished2023-12-11 08:03:49.281075
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct1523
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2023-12-11T17:03:49.898924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters16753
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

Unique1523 ?
Unique (%)100.0%

Sample

1st row2019_1_0001
2nd row2019_1_0003
3rd row2019_1_0004
4th row2019_1_0005
5th row2019_1_0006
ValueCountFrequency (%)
2019_1_0001 1
 
0.1%
2019_2_0279 1
 
0.1%
2019_2_0288 1
 
0.1%
2019_2_0287 1
 
0.1%
2019_2_0286 1
 
0.1%
2019_2_0285 1
 
0.1%
2019_2_0284 1
 
0.1%
2019_2_0283 1
 
0.1%
2019_2_0282 1
 
0.1%
2019_2_0281 1
 
0.1%
Other values (1513) 1513
99.3%
2023-12-11T17:03:50.483585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3541
21.1%
_ 3046
18.2%
2 2813
16.8%
1 2759
16.5%
9 1811
10.8%
4 507
 
3.0%
3 506
 
3.0%
5 506
 
3.0%
6 503
 
3.0%
7 459
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13707
81.8%
Connector Punctuation 3046
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3541
25.8%
2 2813
20.5%
1 2759
20.1%
9 1811
13.2%
4 507
 
3.7%
3 506
 
3.7%
5 506
 
3.7%
6 503
 
3.7%
7 459
 
3.3%
8 302
 
2.2%
Connector Punctuation
ValueCountFrequency (%)
_ 3046
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16753
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3541
21.1%
_ 3046
18.2%
2 2813
16.8%
1 2759
16.5%
9 1811
10.8%
4 507
 
3.0%
3 506
 
3.0%
5 506
 
3.0%
6 503
 
3.0%
7 459
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16753
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3541
21.1%
_ 3046
18.2%
2 2813
16.8%
1 2759
16.5%
9 1811
10.8%
4 507
 
3.0%
3 506
 
3.0%
5 506
 
3.0%
6 503
 
3.0%
7 459
 
2.7%

건축물명
Text

Distinct866
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2023-12-11T17:03:50.836586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length26
Mean length8.5423506
Min length2

Characters and Unicode

Total characters13010
Distinct characters497
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique296 ?
Unique (%)19.4%

Sample

1st row주얼리시티㈜
2nd row서울대병원(외래암센터)
3rd rowThe-K Twin Towers
4th row(주)마스턴제이호위탁관리부동산㈜
5th row(주)동승에이치엠씨
ValueCountFrequency (%)
아파트 29
 
1.5%
신반포자이아파트 11
 
0.6%
서울대학교 10
 
0.5%
오피스텔 10
 
0.5%
생활지원센터 8
 
0.4%
의과대학장 8
 
0.4%
주)한국투자사모종로플레이스 8
 
0.4%
아크로리버뷰신반포생활센터 8
 
0.4%
sk 7
 
0.4%
신축공사 7
 
0.4%
Other values (1035) 1835
94.5%
2023-12-11T17:03:51.427192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
418
 
3.2%
스 341
 
2.6%
) 301
 
2.3%
( 299
 
2.3%
이 284
 
2.2%
트 256
 
2.0%
리 237
 
1.8%
아 230
 
1.8%
파 216
 
1.7%
대 215
 
1.7%
Other values (487) 10213
78.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11233
86.3%
Space Separator 418
 
3.2%
Uppercase Letter 386
 
3.0%
Close Punctuation 301
 
2.3%
Open Punctuation 299
 
2.3%
Decimal Number 190
 
1.5%
Other Symbol 91
 
0.7%
Lowercase Letter 63
 
0.5%
Other Punctuation 18
 
0.1%
Dash Punctuation 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 341
 
3.0%
이 284
 
2.5%
트 256
 
2.3%
리 237
 
2.1%
아 230
 
2.0%
파 216
 
1.9%
대 215
 
1.9%
주 201
 
1.8%
타 185
 
1.6%
지 165
 
1.5%
Other values (429) 8903
79.3%
Uppercase Letter
ValueCountFrequency (%)
K 62
16.1%
S 54
14.0%
C 42
10.9%
T 33
 
8.5%
I 22
 
5.7%
G 20
 
5.2%
A 19
 
4.9%
B 19
 
4.9%
L 18
 
4.7%
E 14
 
3.6%
Other values (15) 83
21.5%
Lowercase Letter
ValueCountFrequency (%)
e 15
23.8%
s 9
14.3%
t 6
 
9.5%
c 5
 
7.9%
w 5
 
7.9%
n 5
 
7.9%
r 4
 
6.3%
k 3
 
4.8%
i 3
 
4.8%
o 2
 
3.2%
Other values (4) 6
 
9.5%
Decimal Number
ValueCountFrequency (%)
2 64
33.7%
1 50
26.3%
3 24
 
12.6%
5 12
 
6.3%
0 11
 
5.8%
4 9
 
4.7%
6 9
 
4.7%
7 6
 
3.2%
8 5
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 14
77.8%
/ 2
 
11.1%
& 1
 
5.6%
？ 1
 
5.6%
Space Separator
ValueCountFrequency (%)
418
100.0%
Close Punctuation
ValueCountFrequency (%)
) 301
100.0%
Open Punctuation
ValueCountFrequency (%)
( 299
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11324
87.0%
Common 1237
 
9.5%
Latin 449
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 341
 
3.0%
이 284
 
2.5%
트 256
 
2.3%
리 237
 
2.1%
아 230
 
2.0%
파 216
 
1.9%
대 215
 
1.9%
주 201
 
1.8%
타 185
 
1.6%
지 165
 
1.5%
Other values (430) 8994
79.4%
Latin
ValueCountFrequency (%)
K 62
13.8%
S 54
 
12.0%
C 42
 
9.4%
T 33
 
7.3%
I 22
 
4.9%
G 20
 
4.5%
A 19
 
4.2%
B 19
 
4.2%
L 18
 
4.0%
e 15
 
3.3%
Other values (29) 145
32.3%
Common
ValueCountFrequency (%)
418
33.8%
) 301
24.3%
( 299
24.2%
2 64
 
5.2%
1 50
 
4.0%
3 24
 
1.9%
, 14
 
1.1%
5 12
 
1.0%
0 11
 
0.9%
- 10
 
0.8%
Other values (8) 34
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11233
86.3%
ASCII 1685
 
13.0%
None 92
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
418
24.8%
) 301
17.9%
( 299
17.7%
2 64
 
3.8%
K 62
 
3.7%
S 54
 
3.2%
1 50
 
3.0%
C 42
 
2.5%
T 33
 
2.0%
3 24
 
1.4%
Other values (46) 338
20.1%
Hangul
ValueCountFrequency (%)
스 341
 
3.0%
이 284
 
2.5%
트 256
 
2.3%
리 237
 
2.1%
아 230
 
2.0%
파 216
 
1.9%
대 215
 
1.9%
주 201
 
1.8%
타 185
 
1.6%
지 165
 
1.5%
Other values (429) 8903
79.3%
None
ValueCountFrequency (%)
㈜ 91
98.9%
？ 1
 
1.1%

건축물 위치
Text

Distinct916
Distinct (%)60.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2023-12-11T17:03:51.878047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43
Mean length21.751149
Min length5

Characters and Unicode

Total characters33127
Distinct characters360
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

Unique385 ?
Unique (%)25.3%

Sample

1st row서울특별시 종로 183(인의동)
2nd row서울특별시 대학로 101(연건동 ,서울대학교병원 )
3rd row서울특별시 종로1길 50(중학동)
4th row서울특별시 새문안로5길 31(도렴동)
5th row서울특별시 종로구 청계천로 279
ValueCountFrequency (%)
서울특별시 1528
 
26.5%
113
 
2.0%
목동 33
 
0.6%
상암동 28
 
0.5%
목동동로 27
 
0.5%
가산디지털1로 26
 
0.5%
목동서로 24
 
0.4%
마포대로 24
 
0.4%
신정동 23
 
0.4%
강남대로 22
 
0.4%
Other values (1663) 3915
67.9%
2023-12-11T17:03:52.551023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4240
 
12.8%
서 1750
 
5.3%
1 1605
 
4.8%
시 1588
 
4.8%
울 1552
 
4.7%
특 1529
 
4.6%
별 1529
 
4.6%
로 1417
 
4.3%
동 1374
 
4.1%
) 1130
 
3.4%
Other values (350) 15413
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18437
55.7%
Decimal Number 7305
 
22.1%
Space Separator 4240
 
12.8%
Close Punctuation 1132
 
3.4%
Open Punctuation 1126
 
3.4%
Dash Punctuation 555
 
1.7%
Other Punctuation 262
 
0.8%
Uppercase Letter 66
 
0.2%
Other Symbol 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1750
 
9.5%
시 1588
 
8.6%
울 1552
 
8.4%
특 1529
 
8.3%
별 1529
 
8.3%
로 1417
 
7.7%
동 1374
 
7.5%
길 397
 
2.2%
대 335
 
1.8%
가 294
 
1.6%
Other values (319) 6672
36.2%
Decimal Number
ValueCountFrequency (%)
1 1605
22.0%
2 1013
13.9%
3 835
11.4%
4 670
9.2%
5 650
8.9%
6 629
 
8.6%
0 550
 
7.5%
7 502
 
6.9%
9 437
 
6.0%
8 414
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 14
21.2%
C 13
19.7%
S 9
13.6%
A 9
13.6%
G 6
9.1%
K 5
 
7.6%
D 4
 
6.1%
J 2
 
3.0%
L 2
 
3.0%
N 2
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 258
98.5%
/ 2
 
0.8%
. 2
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 1130
99.8%
] 2
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1124
99.8%
[ 2
 
0.2%
Space Separator
ValueCountFrequency (%)
4240
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 555
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18440
55.7%
Common 14621
44.1%
Latin 66
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1750
 
9.5%
시 1588
 
8.6%
울 1552
 
8.4%
특 1529
 
8.3%
별 1529
 
8.3%
로 1417
 
7.7%
동 1374
 
7.5%
길 397
 
2.2%
대 335
 
1.8%
가 294
 
1.6%
Other values (320) 6675
36.2%
Common
ValueCountFrequency (%)
4240
29.0%
1 1605
 
11.0%
) 1130
 
7.7%
( 1124
 
7.7%
2 1013
 
6.9%
3 835
 
5.7%
4 670
 
4.6%
5 650
 
4.4%
6 629
 
4.3%
- 555
 
3.8%
Other values (10) 2170
14.8%
Latin
ValueCountFrequency (%)
B 14
21.2%
C 13
19.7%
S 9
13.6%
A 9
13.6%
G 6
9.1%
K 5
 
7.6%
D 4
 
6.1%
J 2
 
3.0%
L 2
 
3.0%
N 2
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18437
55.7%
ASCII 14687
44.3%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4240
28.9%
1 1605
 
10.9%
) 1130
 
7.7%
( 1124
 
7.7%
2 1013
 
6.9%
3 835
 
5.7%
4 670
 
4.6%
5 650
 
4.4%
6 629
 
4.3%
- 555
 
3.8%
Other values (20) 2236
15.2%
Hangul
ValueCountFrequency (%)
서 1750
 
9.5%
시 1588
 
8.6%
울 1552
 
8.4%
특 1529
 
8.3%
별 1529
 
8.3%
로 1417
 
7.7%
동 1374
 
7.5%
길 397
 
2.2%
대 335
 
1.8%
가 294
 
1.6%
Other values (319) 6672
36.2%
None
ValueCountFrequency (%)
㈜ 3
100.0%

조사년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2019
1523 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2019

Common Values

ValueCountFrequency (%)
2019 1523
100.0%

Length

2023-12-11T17:03:52.733732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:03:52.856140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019 1523
100.0%

조사구분(1:상반기,2:하반기)
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.0 KiB
2
790 
1
733 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 790
51.9%
1 733
48.1%

Length

2023-12-11T17:03:53.008043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:03:53.155414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 790
51.9%
1 733
48.1%

X좌표
Real number (ℝ)

ZEROS 

Distinct770
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191027.27
Minimum0
Maximum215493.06
Zeros62
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T17:03:53.328502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile185904.32
Q1192509.36
median198831.64
Q3204126.78
95-th percentile210280.09
Maximum215493.06
Range215493.06
Interquartile range (IQR)11617.415

Descriptive statistics

Standard deviation39941.064
Coefficient of variation (CV)0.20908567
Kurtosis18.403496
Mean191027.27
Median Absolute Deviation (MAD)5963.04
Skewness-4.4369899
Sum2.9093453 × 108
Variance1.5952886 × 109
MonotonicityNot monotonic
2023-12-11T17:03:53.532860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 62
 
4.1%
198114.4 12
 
0.8%
200712.61 11
 
0.7%
200618.48 8
 
0.5%
200090.41 8
 
0.5%
199845.36 8
 
0.5%
201283.1 6
 
0.4%
202380.03 6
 
0.4%
202310.17 6
 
0.4%
199339.8 6
 
0.4%
Other values (760) 1390
91.3%
ValueCountFrequency (%)
0.0 62
4.1%
182593.27 2
 
0.1%
184850.4 1
 
0.1%
185048.24 1
 
0.1%
185246.94 2
 
0.1%
185454.43 2
 
0.1%
185619.36 2
 
0.1%
185674.63 1
 
0.1%
185807.99 2
 
0.1%
185903.99 2
 
0.1%
ValueCountFrequency (%)
215493.06 2
0.1%
214880.55 1
0.1%
214746.0 1
0.1%
214535.81 1
0.1%
213664.02 1
0.1%
212871.34 1
0.1%
212715.56 2
0.1%
212632.15 2
0.1%
212599.28 2
0.1%
212588.28 1
0.1%

Y좌표
Real number (ℝ)

ZEROS 

Distinct1352
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean430614.25
Minimum0
Maximum464770.76
Zeros62
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size13.5 KiB
2023-12-11T17:03:53.734846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile439629.8
Q1443915.01
median448324.52
Q3451929.71
95-th percentile459946.81
Maximum464770.76
Range464770.76
Interquartile range (IQR)8014.705

Descriptive statistics

Standard deviation88901.508
Coefficient of variation (CV)0.20645278
Kurtosis19.50848
Mean430614.25
Median Absolute Deviation (MAD)4055.65
Skewness-4.6246132
Sum6.558255 × 108
Variance7.9034781 × 109
MonotonicityNot monotonic
2023-12-11T17:03:53.939118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 62
 
4.1%
451921.199999 12
 
0.8%
446115.559999 8
 
0.5%
445633.72 6
 
0.4%
445633.719999 5
 
0.3%
453519.03 4
 
0.3%
452604.18 4
 
0.3%
453519.029999 4
 
0.3%
443474.44 4
 
0.3%
452604.179999 4
 
0.3%
Other values (1342) 1410
92.6%
ValueCountFrequency (%)
0.0 62
4.1%
438835.259999 1
 
0.1%
438835.26 1
 
0.1%
438847.999999 1
 
0.1%
438848.0 1
 
0.1%
438855.059999 1
 
0.1%
438974.609999 1
 
0.1%
438974.61 1
 
0.1%
439069.609999 1
 
0.1%
439069.61 1
 
0.1%
ValueCountFrequency (%)
464770.76 2
0.1%
463878.37 1
0.1%
463878.369999 1
0.1%
463223.67 1
0.1%
463223.669999 1
0.1%
463010.99 1
0.1%
463010.989999 1
0.1%
462691.76 1
0.1%
462555.05 1
0.1%
462555.049999 1
0.1%

Interactions

2023-12-11T17:03:48.718071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T17:03:48.510839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T17:03:48.859647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T17:03:48.617192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T17:03:54.059088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조사구분(1:상반기,2:하반기)X좌표Y좌표
조사구분(1:상반기,2:하반기)1.0000.1180.299
X좌표0.1181.0001.000
Y좌표0.2991.0001.000
2023-12-11T17:03:54.201668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
X좌표Y좌표조사구분(1:상반기,2:하반기)
X좌표1.0000.2330.195
Y좌표0.2331.0000.193
조사구분(1:상반기,2:하반기)0.1950.1931.000

Missing values

2023-12-11T17:03:49.052248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T17:03:49.206678image/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

관리번호건축물명건축물 위치조사년도조사구분(1:상반기,2:하반기)X좌표Y좌표
02019_1_0001주얼리시티㈜서울특별시 종로 183(인의동)20191199881.66452433.25
12019_1_0003서울대병원(외래암센터)서울특별시 대학로 101(연건동 ,서울대학교병원 )20191199752.36453433.36
22019_1_0004The-K Twin Towers서울특별시 종로1길 50(중학동)20191198146.9452797.83
32019_1_0005(주)마스턴제이호위탁관리부동산㈜서울특별시 새문안로5길 31(도렴동)20191197734.21452603.93
42019_1_0006(주)동승에이치엠씨서울특별시 종로구 청계천로 27920191200772.45452323.08
52019_1_0007(주)청하고려인삼서울특별시 자하문로 280(부암동, 금박B/D)20191196616.23455453.71
62019_1_0008운현궁 SK허브 운영위원회서울특별시 삼일대로 461(경운동)20191198748.19452894.39
72019_1_0009운현궁 SK허브 운영위원회서울특별시 삼일대로 461(경운동)20191198748.19452894.39
82019_1_0010(주)단성사서울특별시 돈화문로 26(묘동)20191199339.8452386.44
92019_1_0011(주)단성사서울특별시 돈화문로 26(묘동)20191199339.8452386.44
관리번호건축물명건축물 위치조사년도조사구분(1:상반기,2:하반기)X좌표Y좌표
15132019_2_0781한솔병원(이동근) 신관서울특별시 백제고분로39길 14-2020192209349.68445164.479999
15142019_2_0782㈜한라서울특별시 방이동 46-220192209930.9446292.359999
15152019_2_0783동우개발㈜, 엘루이시티서울특별시 방이동 28-220192209568.55446165.979999
15162019_2_0784대우한강베네시티서울특별시 올림픽로 664(천호동)20192211045.06449012.599999
15172019_2_0785현대백화점서울특별시 천호대로 100520192210998.03448837.139999
15182019_2_0786천호한강푸르지오서울특별시 구천면로 19220192211119.45448990.739999
15192019_2_0787삼성엔지니어링㈜서울특별시 상일로6길 2620192215493.06449936.719999
15202019_2_0788코리아신탁㈜서울특별시 동남로75길 2720192213664.02450504.019999
15212019_2_0789고덕주공2단지(현대)서울특별시 고덕로 38520192214880.55450884.499999
15222019_2_0790고덕주공2단지(대우)서울특별시 고덕로 35320192214535.81450858.129999