Overview

Dataset statistics

Number of variables6
Number of observations9526
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory465.3 KiB
Average record size in memory50.0 B

Variable types

Text3
Categorical1
Numeric2

Dataset

Description한국토지주택공사에서 관리중인 택지정보시스템 내의 사업지구번호, 사업지구명, 블록명, 블록타입명등의 기본정보와 아파트의 X,Y 공간좌표정보를 제공합니다.
Author한국토지주택공사
URLhttps://www.data.go.kr/data/15059814/fileData.do

Reproduction

Analysis started2023-12-12 14:07:31.183848
Analysis finished2023-12-12 14:07:32.436340
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업지구번호
Text

Distinct997
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size74.6 KiB
2023-12-12T23:07:32.577197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters133364
Distinct characters21
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)1.6%

Sample

1st row11500PV2017001
2nd row11740DC2012002
3rd row11740DC2012002
4th row11740DC2012002
5th row11740DC2012002
ValueCountFrequency (%)
44730kl2010001 194
 
2.0%
41135kl1989001 179
 
1.9%
41590mx2008001 127
 
1.3%
41283kl2006001 117
 
1.2%
46110da1989001 111
 
1.2%
41480kl1997001 110
 
1.2%
44825pv2010001 103
 
1.1%
41220mx2006001 78
 
0.8%
29200kl1996002 72
 
0.8%
46110da2001001 72
 
0.8%
Other values (987) 8363
87.8%
2023-12-12T23:07:32.910802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 39767
29.8%
1 25600
19.2%
2 12750
 
9.6%
4 9712
 
7.3%
9 6886
 
5.2%
3 4769
 
3.6%
8 4482
 
3.4%
K 4480
 
3.4%
5 4066
 
3.0%
L 3226
 
2.4%
Other values (11) 17626
13.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 114312
85.7%
Uppercase Letter 19052
 
14.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
K 4480
23.5%
L 3226
16.9%
D 2184
11.5%
H 2085
10.9%
A 2044
10.7%
P 1336
 
7.0%
V 1296
 
6.8%
M 1121
 
5.9%
X 1060
 
5.6%
C 201
 
1.1%
Decimal Number
ValueCountFrequency (%)
0 39767
34.8%
1 25600
22.4%
2 12750
 
11.2%
4 9712
 
8.5%
9 6886
 
6.0%
3 4769
 
4.2%
8 4482
 
3.9%
5 4066
 
3.6%
6 3174
 
2.8%
7 3106
 
2.7%

Most occurring scripts

ValueCountFrequency (%)
Common 114312
85.7%
Latin 19052
 
14.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
K 4480
23.5%
L 3226
16.9%
D 2184
11.5%
H 2085
10.9%
A 2044
10.7%
P 1336
 
7.0%
V 1296
 
6.8%
M 1121
 
5.9%
X 1060
 
5.6%
C 201
 
1.1%
Common
ValueCountFrequency (%)
0 39767
34.8%
1 25600
22.4%
2 12750
 
11.2%
4 9712
 
8.5%
9 6886
 
6.0%
3 4769
 
4.2%
8 4482
 
3.9%
5 4066
 
3.6%
6 3174
 
2.8%
7 3106
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 133364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 39767
29.8%
1 25600
19.2%
2 12750
 
9.6%
4 9712
 
7.3%
9 6886
 
5.2%
3 4769
 
3.6%
8 4482
 
3.4%
K 4480
 
3.4%
5 4066
 
3.0%
L 3226
 
2.4%
Other values (11) 17626
13.2%

사업지구명
Text

Distinct997
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size74.6 KiB
2023-12-12T23:07:33.177554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length11.331199
Min length2

Characters and Unicode

Total characters107941
Distinct characters336
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

Unique149 ?
Unique (%)1.6%

Sample

1st row강서 화곡 기업형 임대주택(역세권 청년주택) 공급촉진지구
2nd row서울고덕강일 공공주택지구
3rd row서울고덕강일 공공주택지구
4th row서울고덕강일 공공주택지구
5th row서울고덕강일 공공주택지구
ValueCountFrequency (%)
택지개발사업 1398
 
7.3%
도시개발사업 994
 
5.2%
도시개발구역 881
 
4.6%
공공주택지구 690
 
3.6%
개발사업 505
 
2.6%
조성사업 398
 
2.1%
인천경제자유구역 211
 
1.1%
행정중심복합도시건설사업 194
 
1.0%
성남분당 179
 
0.9%
개발계획 163
 
0.9%
Other values (1191) 13542
70.7%
2023-12-12T23:07:33.547071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9629
 
8.9%
지 7325
 
6.8%
구 6473
 
6.0%
개 4584
 
4.2%
발 4557
 
4.2%
업 4522
 
4.2%
사 4138
 
3.8%
시 3586
 
3.3%
도 3428
 
3.2%
택 2925
 
2.7%
Other values (326) 56774
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95233
88.2%
Space Separator 9629
 
8.9%
Decimal Number 2058
 
1.9%
Close Punctuation 471
 
0.4%
Open Punctuation 466
 
0.4%
Uppercase Letter 45
 
< 0.1%
Other Punctuation 32
 
< 0.1%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 7325
 
7.7%
구 6473
 
6.8%
개 4584
 
4.8%
발 4557
 
4.8%
업 4522
 
4.7%
사 4138
 
4.3%
시 3586
 
3.8%
도 3428
 
3.6%
택 2925
 
3.1%
주 2750
 
2.9%
Other values (303) 50945
53.5%
Decimal Number
ValueCountFrequency (%)
2 1264
61.4%
3 325
 
15.8%
1 153
 
7.4%
0 110
 
5.3%
4 98
 
4.8%
5 61
 
3.0%
6 26
 
1.3%
8 17
 
0.8%
7 4
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
C 16
35.6%
B 9
20.0%
T 4
 
8.9%
M 4
 
8.9%
V 4
 
8.9%
L 3
 
6.7%
I 3
 
6.7%
X 2
 
4.4%
Other Punctuation
ValueCountFrequency (%)
· 17
53.1%
, 15
46.9%
Space Separator
ValueCountFrequency (%)
9629
100.0%
Close Punctuation
ValueCountFrequency (%)
) 471
100.0%
Open Punctuation
ValueCountFrequency (%)
( 466
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 95233
88.2%
Common 12663
 
11.7%
Latin 45
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 7325
 
7.7%
구 6473
 
6.8%
개 4584
 
4.8%
발 4557
 
4.8%
업 4522
 
4.7%
사 4138
 
4.3%
시 3586
 
3.8%
도 3428
 
3.6%
택 2925
 
3.1%
주 2750
 
2.9%
Other values (303) 50945
53.5%
Common
ValueCountFrequency (%)
9629
76.0%
2 1264
 
10.0%
) 471
 
3.7%
( 466
 
3.7%
3 325
 
2.6%
1 153
 
1.2%
0 110
 
0.9%
4 98
 
0.8%
5 61
 
0.5%
6 26
 
0.2%
Other values (5) 60
 
0.5%
Latin
ValueCountFrequency (%)
C 16
35.6%
B 9
20.0%
T 4
 
8.9%
M 4
 
8.9%
V 4
 
8.9%
L 3
 
6.7%
I 3
 
6.7%
X 2
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 95233
88.2%
ASCII 12691
 
11.8%
None 17
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9629
75.9%
2 1264
 
10.0%
) 471
 
3.7%
( 466
 
3.7%
3 325
 
2.6%
1 153
 
1.2%
0 110
 
0.9%
4 98
 
0.8%
5 61
 
0.5%
6 26
 
0.2%
Other values (12) 88
 
0.7%
Hangul
ValueCountFrequency (%)
지 7325
 
7.7%
구 6473
 
6.8%
개 4584
 
4.8%
발 4557
 
4.8%
업 4522
 
4.7%
사 4138
 
4.3%
시 3586
 
3.8%
도 3428
 
3.6%
택 2925
 
3.1%
주 2750
 
2.9%
Other values (303) 50945
53.5%
None
ValueCountFrequency (%)
· 17
100.0%

블록명
Text

Distinct1815
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size74.6 KiB
2023-12-12T23:07:33.865504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length2.8745539
Min length1

Characters and Unicode

Total characters27383
Distinct characters88
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1242 ?
Unique (%)13.0%

Sample

1st row11BL
2nd row10BL
3rd row11BL
4th row12BL
5th row13BL
ValueCountFrequency (%)
공동 1895
 
19.5%
준 765
 
7.9%
주거 348
 
3.6%
apt 333
 
3.4%
준주거 204
 
2.1%
연립 146
 
1.5%
a1 117
 
1.2%
a2 94
 
1.0%
a-1 72
 
0.7%
b1 69
 
0.7%
Other values (1654) 5691
58.5%
2023-12-12T23:07:34.430680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2622
 
9.6%
- 2322
 
8.5%
A 2312
 
8.4%
공 2224
 
8.1%
동 2195
 
8.0%
B 2057
 
7.5%
준 1714
 
6.3%
2 1606
 
5.9%
L 1288
 
4.7%
3 1077
 
3.9%
Other values (78) 7966
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8765
32.0%
Decimal Number 8279
30.2%
Uppercase Letter 7526
27.5%
Dash Punctuation 2322
 
8.5%
Lowercase Letter 224
 
0.8%
Space Separator 208
 
0.8%
Close Punctuation 20
 
0.1%
Open Punctuation 20
 
0.1%
Letter Number 15
 
0.1%
Other Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 2224
25.4%
동 2195
25.0%
준 1714
19.6%
주 948
10.8%
거 898
10.2%
연 155
 
1.8%
립 155
 
1.8%
지 105
 
1.2%
용 74
 
0.8%
밀 48
 
0.5%
Other values (32) 249
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
A 2312
30.7%
B 2057
27.3%
L 1288
17.1%
C 534
 
7.1%
T 339
 
4.5%
P 333
 
4.4%
M 146
 
1.9%
S 128
 
1.7%
D 112
 
1.5%
R 97
 
1.3%
Other values (8) 180
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 2622
31.7%
2 1606
19.4%
3 1077
13.0%
4 746
 
9.0%
5 563
 
6.8%
6 471
 
5.7%
7 360
 
4.3%
8 291
 
3.5%
0 281
 
3.4%
9 262
 
3.2%
Letter Number
ValueCountFrequency (%)
Ⅹ 4
26.7%
Ⅰ 3
20.0%
Ⅴ 3
20.0%
Ⅱ 2
13.3%
Ⅵ 1
 
6.7%
Ⅷ 1
 
6.7%
Ⅳ 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
b 90
40.2%
c 90
40.2%
a 40
17.9%
h 2
 
0.9%
p 2
 
0.9%
Other Number
ValueCountFrequency (%)
② 2
50.0%
① 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2322
100.0%
Space Separator
ValueCountFrequency (%)
208
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10853
39.6%
Hangul 8765
32.0%
Latin 7765
28.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 2224
25.4%
동 2195
25.0%
준 1714
19.6%
주 948
10.8%
거 898
10.2%
연 155
 
1.8%
립 155
 
1.8%
지 105
 
1.2%
용 74
 
0.8%
밀 48
 
0.5%
Other values (32) 249
 
2.8%
Latin
ValueCountFrequency (%)
A 2312
29.8%
B 2057
26.5%
L 1288
16.6%
C 534
 
6.9%
T 339
 
4.4%
P 333
 
4.3%
M 146
 
1.9%
S 128
 
1.6%
D 112
 
1.4%
R 97
 
1.2%
Other values (20) 419
 
5.4%
Common
ValueCountFrequency (%)
1 2622
24.2%
- 2322
21.4%
2 1606
14.8%
3 1077
9.9%
4 746
 
6.9%
5 563
 
5.2%
6 471
 
4.3%
7 360
 
3.3%
8 291
 
2.7%
0 281
 
2.6%
Other values (6) 514
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18599
67.9%
Hangul 8765
32.0%
Number Forms 15
 
0.1%
Enclosed Alphanum 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2622
14.1%
- 2322
12.5%
A 2312
12.4%
B 2057
11.1%
2 1606
8.6%
L 1288
 
6.9%
3 1077
 
5.8%
4 746
 
4.0%
5 563
 
3.0%
C 534
 
2.9%
Other values (27) 3472
18.7%
Hangul
ValueCountFrequency (%)
공 2224
25.4%
동 2195
25.0%
준 1714
19.6%
주 948
10.8%
거 898
10.2%
연 155
 
1.8%
립 155
 
1.8%
지 105
 
1.2%
용 74
 
0.8%
밀 48
 
0.5%
Other values (32) 249
 
2.8%
Number Forms
ValueCountFrequency (%)
Ⅹ 4
26.7%
Ⅰ 3
20.0%
Ⅴ 3
20.0%
Ⅱ 2
13.3%
Ⅵ 1
 
6.7%
Ⅷ 1
 
6.7%
Ⅳ 1
 
6.7%
Enclosed Alphanum
ValueCountFrequency (%)
② 2
50.0%
① 2
50.0%

블록타입
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size74.6 KiB
공동주택
4603 
준주거용지
2287 
아파트
1740 
주거용지
601 
연립
 
292
Other values (2)
 
3

Length

Max length6
Median length4
Mean length3.9966408
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row주거용지
2nd row아파트
3rd row아파트
4th row아파트
5th row아파트

Common Values

ValueCountFrequency (%)
공동주택 4603
48.3%
준주거용지 2287
24.0%
아파트 1740
 
18.3%
주거용지 601
 
6.3%
연립 292
 
3.1%
공동주택기타 2
 
< 0.1%
아파트기타 1
 
< 0.1%

Length

2023-12-12T23:07:34.619311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:07:34.763901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동주택 4603
48.3%
준주거용지 2287
24.0%
아파트 1740
 
18.3%
주거용지 601
 
6.3%
연립 292
 
3.1%
공동주택기타 2
 
< 0.1%
아파트기타 1
 
< 0.1%

센터엑스좌표
Real number (ℝ)

Distinct9521
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14180959
Minimum13883920
Maximum14416141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.9 KiB
2023-12-12T23:07:34.904775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13883920
5-th percentile14086953
Q114118090
median14149623
Q314216962
95-th percentile14372466
Maximum14416141
Range532220.21
Interquartile range (IQR)98871.302

Descriptive statistics

Standard deviation89153.246
Coefficient of variation (CV)0.0062868276
Kurtosis0.070128738
Mean14180959
Median Absolute Deviation (MAD)38708.29
Skewness1.1128119
Sum1.3508782 × 1011
Variance7.9483013 × 109
MonotonicityNot monotonic
2023-12-12T23:07:35.372893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14105432.28 2
 
< 0.1%
14150474.92 2
 
< 0.1%
14151719.47 2
 
< 0.1%
14150753.85 2
 
< 0.1%
14240408.15 2
 
< 0.1%
14186165.68 1
 
< 0.1%
14269389.6 1
 
< 0.1%
14197899.2 1
 
< 0.1%
14186270.53 1
 
< 0.1%
14197680.98 1
 
< 0.1%
Other values (9511) 9511
99.8%
ValueCountFrequency (%)
13883920.45 1
< 0.1%
14041870.2 1
< 0.1%
14042080.42 1
< 0.1%
14042195.8 1
< 0.1%
14056193.98 1
< 0.1%
14056198.89 1
< 0.1%
14056237.19 1
< 0.1%
14056377.35 1
< 0.1%
14056412.64 1
< 0.1%
14056967.22 1
< 0.1%
ValueCountFrequency (%)
14416140.66 1
< 0.1%
14416098.95 1
< 0.1%
14415959.17 1
< 0.1%
14415742.88 1
< 0.1%
14415683.43 1
< 0.1%
14409342.66 1
< 0.1%
14409269.67 1
< 0.1%
14409257.9 1
< 0.1%
14409205.94 1
< 0.1%
14409190.47 1
< 0.1%

센터와이좌표
Real number (ℝ)

Distinct9525
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4382196.6
Minimum3928365.3
Maximum4633226.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.9 KiB
2023-12-12T23:07:35.537371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3928365.3
5-th percentile4155128.6
Q14274087.2
median4428346.3
Q34499609.6
95-th percentile4540062.7
Maximum4633226.1
Range704860.78
Interquartile range (IQR)225522.4

Descriptive statistics

Standard deviation138948.5
Coefficient of variation (CV)0.031707501
Kurtosis-0.76523237
Mean4382196.6
Median Absolute Deviation (MAD)94471.808
Skewness-0.6131727
Sum4.1744805 × 1010
Variance1.9306686 × 1010
MonotonicityNot monotonic
2023-12-12T23:07:35.709085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4436280.607 2
 
< 0.1%
4435606.82 1
 
< 0.1%
4426150.69 1
 
< 0.1%
4425423.376 1
 
< 0.1%
4385450.74 1
 
< 0.1%
4385847.433 1
 
< 0.1%
4386026.013 1
 
< 0.1%
4385961.808 1
 
< 0.1%
4426516.576 1
 
< 0.1%
4417709.4 1
 
< 0.1%
Other values (9515) 9515
99.9%
ValueCountFrequency (%)
3928365.303 1
< 0.1%
3928386.511 1
< 0.1%
3928536.501 1
< 0.1%
3928726.478 1
< 0.1%
3928729.04 1
< 0.1%
3928748.194 1
< 0.1%
3928905.57 1
< 0.1%
3928967.111 1
< 0.1%
3929090.916 1
< 0.1%
3929219.276 1
< 0.1%
ValueCountFrequency (%)
4633226.081 1
< 0.1%
4608744.732 1
< 0.1%
4608576.697 1
< 0.1%
4607799.999 1
< 0.1%
4607707.025 1
< 0.1%
4607319.435 1
< 0.1%
4606921.124 1
< 0.1%
4606271.432 1
< 0.1%
4606117.081 1
< 0.1%
4606090.525 1
< 0.1%

Interactions

2023-12-12T23:07:31.998112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:31.782116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:32.112142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:07:31.884902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:07:35.856437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
블록타입센터엑스좌표센터와이좌표
블록타입1.0000.2230.256
센터엑스좌표0.2231.0000.648
센터와이좌표0.2560.6481.000
2023-12-12T23:07:35.983928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
센터엑스좌표센터와이좌표블록타입
센터엑스좌표1.000-0.3830.121
센터와이좌표-0.3831.0000.138
블록타입0.1210.1381.000

Missing values

2023-12-12T23:07:32.258563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:07:32.388027image/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

사업지구번호사업지구명블록명블록타입센터엑스좌표센터와이좌표
011500PV2017001강서 화곡 기업형 임대주택(역세권 청년주택) 공급촉진지구11BL주거용지14119312.84515519.332
111740DC2012002서울고덕강일 공공주택지구10BL아파트14157698.284516678.906
211740DC2012002서울고덕강일 공공주택지구11BL아파트14157521.34516510.899
311740DC2012002서울고덕강일 공공주택지구12BL아파트14157809.724516334.401
411740DC2012002서울고덕강일 공공주택지구13BL아파트14157772.484516141.28
511710DA2005001서울마천 국민임대주택단지예정지구1BL공동주택14155291.184508844.3
611530DA2008001서울천왕2 국민임대주택단지예정지구1BL공동주택14119835.424507015.073
711530DA2010001천왕 도시개발구역1BL아파트14119457.54507063.02
811740DA2005001서울 강일2지구 택지개발예정지구1BL공동주택14156686.214517619.537
911740DC2012002서울고덕강일 공공주택지구1BL아파트14156339.444517943.973
사업지구번호사업지구명블록명블록타입센터엑스좌표센터와이좌표
951649110MX2002001제주삼화지구 택지개발사업준2-2준주거용지14090919.083963697.294
951749110MX2002001제주삼화지구 택지개발사업준2-3준주거용지14090850.983963580.126
951849110MX2002001제주삼화지구 택지개발사업준2-4준주거용지14090920.553963558.724
951949110MX2002001제주삼화지구 택지개발사업준3-1준주거용지14090139.783963834.093
952049110MX2002001제주삼화지구 택지개발사업준3-2준주거용지14090308.953963835.651
952149110MX2002001제주삼화지구 택지개발사업준3-3준주거용지14090161.653963792.371
952249110MX2002001제주삼화지구 택지개발사업준3-4준주거용지14090287.163963793.595
952349110MX2002001제주삼화지구 택지개발사업준3-4준주거용지14090371.163963816.116
952449110MX2002001제주삼화지구 택지개발사업준4-1준주거용지14090079.083963814.48
952549130KH2004001서귀포강정지구 택지개발사업준주거준주거용지14082303.513928905.57