Overview

Dataset statistics

Number of variables47
Number of observations1863
Missing cells7493
Missing cells (%)8.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory698.8 KiB
Average record size in memory384.1 B

Variable types

Numeric5
Text7
Categorical7
DateTime21
Boolean7

Dataset

Description한국부동산원(구.한국감정원)의 청약홈에서 제공하는 APT(아파트) 분양정보 데이터로 공고번호, 주택명, 공급지역명, 공급위치, 모집공고일 등의 데이터를 제공합니다.
Author한국부동산원
URLhttps://www.data.go.kr/data/15101046/fileData.do

Alerts

주택구분코드 is highly imbalanced (77.1%)Imbalance
주택구분코드명 is highly imbalanced (77.1%)Imbalance
분양구분코드 is highly imbalanced (80.8%)Imbalance
분양구분코드명 is highly imbalanced (80.8%)Imbalance
공공주택지구 is highly imbalanced (62.1%)Imbalance
수도권내민영공공주택지구 is highly imbalanced (89.1%)Imbalance
특별공급접수시작일 has 294 (15.8%) missing valuesMissing
특별공급접수종료일 has 294 (15.8%) missing valuesMissing
경기지역1순위접수시작일 has 1665 (89.4%) missing valuesMissing
경기지역1순위접수종료일 has 1665 (89.4%) missing valuesMissing
경기지역2순위접수시작일 has 1665 (89.4%) missing valuesMissing
경기지역2순위접수종료일 has 1665 (89.4%) missing valuesMissing
홈페이지주소 has 133 (7.1%) missing valuesMissing
건설업체명_시공사 has 99 (5.3%) missing valuesMissing
주택관리번호 has unique valuesUnique
공고번호 has unique valuesUnique
모집공고URL has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:40:42.797988
Analysis finished2024-03-14 12:40:45.427890
Duration2.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주택관리번호
Real number (ℝ)

UNIQUE 

Distinct1863
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0214417 × 109
Minimum2.02 × 109
Maximum2.02482 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-03-14T21:40:45.639110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.02 × 109
5-th percentile2.0200004 × 109
Q12.0200013 × 109
median2.0210009 × 109
Q32.0220009 × 109
95-th percentile2.0230007 × 109
Maximum2.02482 × 109
Range4820003
Interquartile range (IQR)1999535

Descriptive statistics

Standard deviation1186028.2
Coefficient of variation (CV)0.0005867239
Kurtosis-0.97462637
Mean2.0214417 × 109
Median Absolute Deviation (MAD)999788
Skewness0.30602292
Sum3.765946 × 1012
Variance1.4066628 × 1012
MonotonicityNot monotonic
2024-03-14T21:40:46.105101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2024820004 1
 
0.1%
2021000261 1
 
0.1%
2021000101 1
 
0.1%
2021000171 1
 
0.1%
2021000226 1
 
0.1%
2021000258 1
 
0.1%
2021000259 1
 
0.1%
2021000273 1
 
0.1%
2021000274 1
 
0.1%
2021000069 1
 
0.1%
Other values (1853) 1853
99.5%
ValueCountFrequency (%)
2020000001 1
0.1%
2020000005 1
0.1%
2020000007 1
0.1%
2020000009 1
0.1%
2020000010 1
0.1%
2020000028 1
0.1%
2020000040 1
0.1%
2020000041 1
0.1%
2020000046 1
0.1%
2020000047 1
0.1%
ValueCountFrequency (%)
2024820004 1
0.1%
2024820003 1
0.1%
2024820002 1
0.1%
2024000094 1
0.1%
2024000091 1
0.1%
2024000090 1
0.1%
2024000089 1
0.1%
2024000088 1
0.1%
2024000087 1
0.1%
2024000086 1
0.1%

공고번호
Real number (ℝ)

UNIQUE 

Distinct1863
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0214417 × 109
Minimum2.02 × 109
Maximum2.02482 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-03-14T21:40:46.551238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.02 × 109
5-th percentile2.0200004 × 109
Q12.0200013 × 109
median2.0210009 × 109
Q32.0220009 × 109
95-th percentile2.0230007 × 109
Maximum2.02482 × 109
Range4820003
Interquartile range (IQR)1999535

Descriptive statistics

Standard deviation1186028.2
Coefficient of variation (CV)0.0005867239
Kurtosis-0.97462637
Mean2.0214417 × 109
Median Absolute Deviation (MAD)999788
Skewness0.30602292
Sum3.765946 × 1012
Variance1.4066628 × 1012
MonotonicityNot monotonic
2024-03-14T21:40:47.016040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2024820004 1
 
0.1%
2021000261 1
 
0.1%
2021000101 1
 
0.1%
2021000171 1
 
0.1%
2021000226 1
 
0.1%
2021000258 1
 
0.1%
2021000259 1
 
0.1%
2021000273 1
 
0.1%
2021000274 1
 
0.1%
2021000069 1
 
0.1%
Other values (1853) 1853
99.5%
ValueCountFrequency (%)
2020000001 1
0.1%
2020000005 1
0.1%
2020000007 1
0.1%
2020000009 1
0.1%
2020000010 1
0.1%
2020000028 1
0.1%
2020000040 1
0.1%
2020000041 1
0.1%
2020000046 1
0.1%
2020000047 1
0.1%
ValueCountFrequency (%)
2024820004 1
0.1%
2024820003 1
0.1%
2024820002 1
0.1%
2024000094 1
0.1%
2024000091 1
0.1%
2024000090 1
0.1%
2024000089 1
0.1%
2024000088 1
0.1%
2024000087 1
0.1%
2024000086 1
0.1%

주택명
Text

Distinct1834
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
2024-03-14T21:40:48.353996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length35
Mean length14.42351
Min length3

Characters and Unicode

Total characters26871
Distinct characters510
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

Unique1811 ?
Unique (%)97.2%

Sample

1st row성남판교대장 A-10블록 신혼희망타운(공공분양) 잔여세대
2nd row수원당수 A-4블럭 신혼희망타운(공공분양) 잔여세대 추가입주자모집공고
3rd row지제역 반도체밸리 해링턴 플레이스
4th row송도자이풍경채 그라노블 5단지
5th row송도자이풍경채 그라노블 4단지
ValueCountFrequency (%)
더 120
 
2.1%
힐스테이트 92
 
1.6%
푸르지오 82
 
1.4%
e편한세상 62
 
1.1%
더샵 59
 
1.0%
센트럴 57
 
1.0%
신혼희망타운(공공분양 47
 
0.8%
호반써밋 36
 
0.6%
롯데캐슬 36
 
0.6%
제일풍경채 34
 
0.6%
Other values (2384) 5043
89.0%
2024-03-14T21:40:50.109488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3816
 
14.2%
스 692
 
2.6%
트 580
 
2.2%
이 480
 
1.8%
지 417
 
1.6%
시 359
 
1.3%
리 340
 
1.3%
더 340
 
1.3%
파 319
 
1.2%
공 300
 
1.1%
Other values (500) 19228
71.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20338
75.7%
Space Separator 3816
 
14.2%
Decimal Number 993
 
3.7%
Uppercase Letter 928
 
3.5%
Open Punctuation 230
 
0.9%
Close Punctuation 230
 
0.9%
Dash Punctuation 201
 
0.7%
Lowercase Letter 118
 
0.4%
Letter Number 14
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 692
 
3.4%
트 580
 
2.9%
이 480
 
2.4%
지 417
 
2.1%
시 359
 
1.8%
리 340
 
1.7%
더 340
 
1.7%
파 319
 
1.6%
공 300
 
1.5%
아 289
 
1.4%
Other values (440) 16222
79.8%
Uppercase Letter
ValueCountFrequency (%)
B 214
23.1%
A 186
20.0%
L 154
16.6%
S 77
 
8.3%
C 38
 
4.1%
I 36
 
3.9%
K 31
 
3.3%
E 29
 
3.1%
V 28
 
3.0%
W 23
 
2.5%
Other values (13) 112
12.1%
Lowercase Letter
ValueCountFrequency (%)
e 76
64.4%
t 7
 
5.9%
a 6
 
5.1%
c 4
 
3.4%
y 4
 
3.4%
k 3
 
2.5%
h 3
 
2.5%
i 3
 
2.5%
d 2
 
1.7%
n 2
 
1.7%
Other values (6) 8
 
6.8%
Decimal Number
ValueCountFrequency (%)
2 288
29.0%
1 262
26.4%
3 144
14.5%
0 75
 
7.6%
4 68
 
6.8%
5 54
 
5.4%
6 34
 
3.4%
7 30
 
3.0%
9 26
 
2.6%
8 12
 
1.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
42.9%
Ⅲ 4
28.6%
Ⅰ 3
21.4%
Ⅳ 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
' 1
33.3%
& 1
33.3%
· 1
33.3%
Space Separator
ValueCountFrequency (%)
3816
100.0%
Open Punctuation
ValueCountFrequency (%)
( 230
100.0%
Close Punctuation
ValueCountFrequency (%)
) 230
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 201
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20338
75.7%
Common 5473
 
20.4%
Latin 1060
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 692
 
3.4%
트 580
 
2.9%
이 480
 
2.4%
지 417
 
2.1%
시 359
 
1.8%
리 340
 
1.7%
더 340
 
1.7%
파 319
 
1.6%
공 300
 
1.5%
아 289
 
1.4%
Other values (440) 16222
79.8%
Latin
ValueCountFrequency (%)
B 214
20.2%
A 186
17.5%
L 154
14.5%
S 77
 
7.3%
e 76
 
7.2%
C 38
 
3.6%
I 36
 
3.4%
K 31
 
2.9%
E 29
 
2.7%
V 28
 
2.6%
Other values (33) 191
18.0%
Common
ValueCountFrequency (%)
3816
69.7%
2 288
 
5.3%
1 262
 
4.8%
( 230
 
4.2%
) 230
 
4.2%
- 201
 
3.7%
3 144
 
2.6%
0 75
 
1.4%
4 68
 
1.2%
5 54
 
1.0%
Other values (7) 105
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20338
75.7%
ASCII 6518
 
24.3%
Number Forms 14
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3816
58.5%
2 288
 
4.4%
1 262
 
4.0%
( 230
 
3.5%
) 230
 
3.5%
B 214
 
3.3%
- 201
 
3.1%
A 186
 
2.9%
L 154
 
2.4%
3 144
 
2.2%
Other values (45) 793
 
12.2%
Hangul
ValueCountFrequency (%)
스 692
 
3.4%
트 580
 
2.9%
이 480
 
2.4%
지 417
 
2.1%
시 359
 
1.8%
리 340
 
1.7%
더 340
 
1.7%
파 319
 
1.6%
공 300
 
1.5%
아 289
 
1.4%
Other values (440) 16222
79.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
42.9%
Ⅲ 4
28.6%
Ⅰ 3
21.4%
Ⅳ 1
 
7.1%
None
ValueCountFrequency (%)
· 1
100.0%

주택구분코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
1
1760 
10
 
58
9
 
45

Length

Max length2
Median length1
Mean length1.0311326
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1760
94.5%
10 58
 
3.1%
9 45
 
2.4%

Length

2024-03-14T21:40:50.536816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:40:50.867519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1760
94.5%
10 58
 
3.1%
9 45
 
2.4%

주택구분코드명
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
APT
1760 
신혼희망타운
 
58
민간사전청약
 
45

Length

Max length6
Median length3
Mean length3.1658615
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신혼희망타운
2nd row신혼희망타운
3rd rowAPT
4th rowAPT
5th rowAPT

Common Values

ValueCountFrequency (%)
APT 1760
94.5%
신혼희망타운 58
 
3.1%
민간사전청약 45
 
2.4%

Length

2024-03-14T21:40:51.241336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:40:51.579182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
apt 1760
94.5%
신혼희망타운 58
 
3.1%
민간사전청약 45
 
2.4%

주택상세구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
1
1650 
3
213 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1650
88.6%
3 213
 
11.4%

Length

2024-03-14T21:40:51.941072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:40:52.265808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1650
88.6%
3 213
 
11.4%

주택상세구분코드명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
민영
1650 
국민
213 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국민
2nd row국민
3rd row민영
4th row민영
5th row민영

Common Values

ValueCountFrequency (%)
민영 1650
88.6%
국민 213
 
11.4%

Length

2024-03-14T21:40:52.611821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:40:52.932760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민영 1650
88.6%
국민 213
 
11.4%

분양구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
0
1808 
1
 
55

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1808
97.0%
1 55
 
3.0%

Length

2024-03-14T21:40:53.273677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:40:53.448992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1808
97.0%
1 55
 
3.0%

분양구분코드명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
분양주택
1808 
분양전환 가능임대
 
55

Length

Max length9
Median length4
Mean length4.1476114
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분양주택 1808
97.0%
분양전환 가능임대 55
 
3.0%

Length

2024-03-14T21:40:53.633399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:40:53.813745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분양주택 1808
94.3%
분양전환 55
 
2.9%
가능임대 55
 
2.9%

공급지역코드
Real number (ℝ)

Distinct17
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458.13473
Minimum100
Maximum712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-03-14T21:40:53.970788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile100
Q1400
median410
Q3600
95-th percentile700
Maximum712
Range612
Interquartile range (IQR)200

Descriptive statistics

Standard deviation162.72602
Coefficient of variation (CV)0.3551925
Kurtosis-0.38301497
Mean458.13473
Median Absolute Deviation (MAD)98
Skewness-0.20690881
Sum853505
Variance26479.757
MonotonicityNot monotonic
2024-03-14T21:40:54.169053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
410 559
30.0%
400 145
 
7.8%
700 128
 
6.9%
600 112
 
6.0%
100 111
 
6.0%
621 111
 
6.0%
312 105
 
5.6%
712 87
 
4.7%
560 72
 
3.9%
513 70
 
3.8%
Other values (7) 363
19.5%
ValueCountFrequency (%)
100 111
 
6.0%
200 67
 
3.6%
300 49
 
2.6%
312 105
 
5.6%
338 15
 
0.8%
360 65
 
3.5%
400 145
 
7.8%
410 559
30.0%
500 67
 
3.6%
513 70
 
3.8%
ValueCountFrequency (%)
712 87
 
4.7%
700 128
 
6.9%
690 48
 
2.6%
680 52
 
2.8%
621 111
 
6.0%
600 112
 
6.0%
560 72
 
3.9%
513 70
 
3.8%
500 67
 
3.6%
410 559
30.0%

공급지역명
Categorical

Distinct17
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
경기
559 
인천
145 
대구
128 
부산
112 
경남
111 
Other values (12)
808 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기
2nd row경기
3rd row경기
4th row인천
5th row인천

Common Values

ValueCountFrequency (%)
경기 559
30.0%
인천 145
 
7.8%
대구 128
 
6.9%
부산 112
 
6.0%
경남 111
 
6.0%
서울 111
 
6.0%
충남 105
 
5.6%
경북 87
 
4.7%
전북 72
 
3.9%
전남 70
 
3.8%
Other values (7) 363
19.5%

Length

2024-03-14T21:40:54.491180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 559
30.0%
인천 145
 
7.8%
대구 128
 
6.9%
부산 112
 
6.0%
경남 111
 
6.0%
서울 111
 
6.0%
충남 105
 
5.6%
경북 87
 
4.7%
전북 72
 
3.9%
전남 70
 
3.8%
Other values (7) 363
19.5%

공급위치우편번호
Real number (ℝ)

Distinct1463
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31221.458
Minimum1014
Maximum63601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-03-14T21:40:55.056647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1014
5-th percentile7565.7
Q116426.5
median28639
Q346229
95-th percentile61438
Maximum63601
Range62587
Interquartile range (IQR)29802.5

Descriptive statistics

Standard deviation17280.034
Coefficient of variation (CV)0.55346658
Kurtosis-1.1680944
Mean31221.458
Median Absolute Deviation (MAD)14049
Skewness0.26510439
Sum58165576
Variance2.9859956 × 108
MonotonicityNot monotonic
2024-03-14T21:40:55.321606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10865 7
 
0.4%
62392 6
 
0.3%
12749 6
 
0.3%
22626 6
 
0.3%
17770 6
 
0.3%
18017 5
 
0.3%
51001 5
 
0.3%
27663 5
 
0.3%
17946 5
 
0.3%
46711 5
 
0.3%
Other values (1453) 1807
97.0%
ValueCountFrequency (%)
1014 1
0.1%
1053 1
0.1%
1114 1
0.1%
1121 1
0.1%
1133 2
0.1%
1178 1
0.1%
1325 1
0.1%
1400 1
0.1%
1446 1
0.1%
1648 1
0.1%
ValueCountFrequency (%)
63601 1
0.1%
63598 1
0.1%
63597 1
0.1%
63585 2
0.1%
63578 1
0.1%
63545 1
0.1%
63521 1
0.1%
63519 2
0.1%
63517 1
0.1%
63506 1
0.1%

공급위치
Text

Distinct1820
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
2024-03-14T21:40:56.404824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length50
Mean length25.812668
Min length10

Characters and Unicode

Total characters48089
Distinct characters466
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

Unique1781 ?
Unique (%)95.6%

Sample

1st row경기도 성남시 분당구 대장동176번지 일원 성남판교대장지구 내 A-10블록
2nd row경기도 수원시 권선구 당수로129번길 10 (당수동 라 포리엘)
3rd row경기도 평택시 가재지구 도시개발사업 공동 3BL (가재동)
4th row인천광역시 연수구 송도동 553-2번지
5th row인천광역시 연수구 송도동 553번지
ValueCountFrequency (%)
일원 580
 
5.8%
경기도 546
 
5.4%
인천광역시 145
 
1.4%
대구광역시 127
 
1.3%
외 113
 
1.1%
부산광역시 112
 
1.1%
서울특별시 110
 
1.1%
경상남도 109
 
1.1%
충청남도 103
 
1.0%
경상북도 86
 
0.9%
Other values (3844) 8052
79.9%
2024-03-14T21:40:58.049539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8247
 
17.1%
시 1863
 
3.9%
동 1702
 
3.5%
1 1559
 
3.2%
구 1402
 
2.9%
지 1374
 
2.9%
도 1361
 
2.8%
2 1054
 
2.2%
- 1038
 
2.2%
원 916
 
1.9%
Other values (456) 27573
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30065
62.5%
Space Separator 8251
 
17.2%
Decimal Number 6979
 
14.5%
Dash Punctuation 1038
 
2.2%
Uppercase Letter 768
 
1.6%
Close Punctuation 480
 
1.0%
Open Punctuation 479
 
1.0%
Lowercase Letter 22
 
< 0.1%
Other Punctuation 6
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1863
 
6.2%
동 1702
 
5.7%
구 1402
 
4.7%
지 1374
 
4.6%
도 1361
 
4.5%
원 916
 
3.0%
번 849
 
2.8%
경 809
 
2.7%
일 728
 
2.4%
광 720
 
2.4%
Other values (401) 18341
61.0%
Uppercase Letter
ValueCountFrequency (%)
B 258
33.6%
A 204
26.6%
L 183
23.8%
C 23
 
3.0%
S 19
 
2.5%
H 14
 
1.8%
R 11
 
1.4%
D 10
 
1.3%
M 10
 
1.3%
T 8
 
1.0%
Other values (8) 28
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 1559
22.3%
2 1054
15.1%
3 793
11.4%
4 618
 
8.9%
5 605
 
8.7%
6 534
 
7.7%
7 468
 
6.7%
8 462
 
6.6%
0 456
 
6.5%
9 427
 
6.1%
Other values (3) 3
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
27.3%
h 4
18.2%
a 3
13.6%
r 2
 
9.1%
p 2
 
9.1%
c 1
 
4.5%
y 1
 
4.5%
t 1
 
4.5%
b 1
 
4.5%
l 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
· 3
50.0%
/ 1
 
16.7%
， 1
 
16.7%
. 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 478
99.6%
） 1
 
0.2%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 477
99.6%
（ 1
 
0.2%
[ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
8247
> 99.9%
　 4
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 1038
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30065
62.5%
Common 17234
35.8%
Latin 790
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1863
 
6.2%
동 1702
 
5.7%
구 1402
 
4.7%
지 1374
 
4.6%
도 1361
 
4.5%
원 916
 
3.0%
번 849
 
2.8%
경 809
 
2.7%
일 728
 
2.4%
광 720
 
2.4%
Other values (401) 18341
61.0%
Latin
ValueCountFrequency (%)
B 258
32.7%
A 204
25.8%
L 183
23.2%
C 23
 
2.9%
S 19
 
2.4%
H 14
 
1.8%
R 11
 
1.4%
D 10
 
1.3%
M 10
 
1.3%
T 8
 
1.0%
Other values (18) 50
 
6.3%
Common
ValueCountFrequency (%)
8247
47.9%
1 1559
 
9.0%
2 1054
 
6.1%
- 1038
 
6.0%
3 793
 
4.6%
4 618
 
3.6%
5 605
 
3.5%
6 534
 
3.1%
) 478
 
2.8%
( 477
 
2.8%
Other values (17) 1831
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30065
62.5%
ASCII 18011
37.5%
None 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8247
45.8%
1 1559
 
8.7%
2 1054
 
5.9%
- 1038
 
5.8%
3 793
 
4.4%
4 618
 
3.4%
5 605
 
3.4%
6 534
 
3.0%
) 478
 
2.7%
( 477
 
2.6%
Other values (37) 2608
 
14.5%
Hangul
ValueCountFrequency (%)
시 1863
 
6.2%
동 1702
 
5.7%
구 1402
 
4.7%
지 1374
 
4.6%
도 1361
 
4.5%
원 916
 
3.0%
번 849
 
2.8%
경 809
 
2.7%
일 728
 
2.4%
광 720
 
2.4%
Other values (401) 18341
61.0%
None
ValueCountFrequency (%)
　 4
30.8%
· 3
23.1%
） 1
 
7.7%
， 1
 
7.7%
（ 1
 
7.7%
５ 1
 
7.7%
１ 1
 
7.7%
８ 1
 
7.7%

공급규모
Real number (ℝ)

Distinct888
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean476.03382
Minimum1
Maximum4786
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.5 KiB
2024-03-14T21:40:58.464907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34
Q1130
median352
Q3705
95-th percentile1317.8
Maximum4786
Range4785
Interquartile range (IQR)575

Descriptive statistics

Standard deviation444.78253
Coefficient of variation (CV)0.9343507
Kurtosis7.4044494
Mean476.03382
Median Absolute Deviation (MAD)258
Skewness1.8729437
Sum886851
Variance197831.5
MonotonicityNot monotonic
2024-03-14T21:40:58.925682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 16
 
0.9%
80 14
 
0.8%
96 11
 
0.6%
45 10
 
0.5%
60 10
 
0.5%
99 10
 
0.5%
264 9
 
0.5%
48 9
 
0.5%
64 9
 
0.5%
72 9
 
0.5%
Other values (878) 1756
94.3%
ValueCountFrequency (%)
1 16
0.9%
2 8
0.4%
3 5
 
0.3%
4 7
0.4%
5 4
 
0.2%
6 3
 
0.2%
7 3
 
0.2%
8 3
 
0.2%
9 2
 
0.1%
10 2
 
0.1%
ValueCountFrequency (%)
4786 1
0.1%
3200 1
0.1%
2902 1
0.1%
2759 1
0.1%
2450 1
0.1%
2426 1
0.1%
2415 1
0.1%
2382 1
0.1%
2379 1
0.1%
2339 1
0.1%

모집공고일
Date

Distinct605
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
Minimum2020-02-03 00:00:00
Maximum2024-02-29 00:00:00
2024-03-14T21:40:59.338516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:40:59.785369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

청약접수시작일
Date

Distinct507
Distinct (%)27.2%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
Minimum2020-02-14 00:00:00
Maximum2024-03-13 00:00:00
2024-03-14T21:41:00.200632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:00.639108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

청약접수종료일
Date

Distinct616
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
Minimum2020-02-17 00:00:00
Maximum2024-03-15 00:00:00
2024-03-14T21:41:01.049246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:01.489865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

특별공급접수시작일
Date

MISSING 

Distinct442
Distinct (%)28.2%
Missing294
Missing (%)15.8%
Memory size14.7 KiB
Minimum2020-02-17 00:00:00
Maximum2024-03-13 00:00:00
2024-03-14T21:41:01.896300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:02.345401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

특별공급접수종료일
Date

MISSING 

Distinct453
Distinct (%)28.9%
Missing294
Missing (%)15.8%
Memory size14.7 KiB
Minimum2020-02-17 00:00:00
Maximum2024-03-13 00:00:00
2024-03-14T21:41:02.730756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:02.985780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

해당지역1순위접수시작일
Date

Distinct577
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
Minimum2020-02-14 00:00:00
Maximum2024-03-14 00:00:00
2024-03-14T21:41:03.232706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:03.484332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

해당지역1순위접수종료일
Date

Distinct574
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
Minimum2020-02-14 00:00:00
Maximum2024-03-14 00:00:00
2024-03-14T21:41:03.855247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:04.302953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

경기지역1순위접수시작일
Date

MISSING 

Distinct130
Distinct (%)65.7%
Missing1665
Missing (%)89.4%
Memory size14.7 KiB
Minimum2020-02-19 00:00:00
Maximum2024-03-11 00:00:00
2024-03-14T21:41:04.708267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:05.150811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

경기지역1순위접수종료일
Date

MISSING 

Distinct128
Distinct (%)64.6%
Missing1665
Missing (%)89.4%
Memory size14.7 KiB
Minimum2020-02-19 00:00:00
Maximum2024-03-11 00:00:00
2024-03-14T21:41:05.740326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:06.182002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기타지역1순위접수시작일
Date

Distinct620
Distinct (%)33.3%
Missing1
Missing (%)0.1%
Memory size14.7 KiB
Minimum2020-02-14 00:00:00
Maximum2024-03-14 00:00:00
2024-03-14T21:41:06.584798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:07.021832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기타지역1순위접수종료일
Date

Distinct615
Distinct (%)33.0%
Missing1
Missing (%)0.1%
Memory size14.7 KiB
Minimum2020-02-14 00:00:00
Maximum2024-03-14 00:00:00
2024-03-14T21:41:07.431027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:07.865939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

해당지역2순위접수시작일
Date

Distinct614
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
Minimum2020-02-17 00:00:00
Maximum2024-03-15 00:00:00
2024-03-14T21:41:08.277921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:08.721898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

해당지역2순위접수종료일
Date

Distinct616
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
Minimum2020-02-17 00:00:00
Maximum2024-03-15 00:00:00
2024-03-14T21:41:09.130761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:09.575322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

경기지역2순위접수시작일
Date

MISSING 

Distinct128
Distinct (%)64.6%
Missing1665
Missing (%)89.4%
Memory size14.7 KiB
Minimum2020-02-20 00:00:00
Maximum2024-03-12 00:00:00
2024-03-14T21:41:09.981383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:10.425254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

경기지역2순위접수종료일
Date

MISSING 

Distinct129
Distinct (%)65.2%
Missing1665
Missing (%)89.4%
Memory size14.7 KiB
Minimum2020-02-20 00:00:00
Maximum2024-03-12 00:00:00
2024-03-14T21:41:10.837192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:11.277012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기타지역2순위접수시작일
Date

Distinct613
Distinct (%)32.9%
Missing1
Missing (%)0.1%
Memory size14.7 KiB
Minimum2020-02-17 00:00:00
Maximum2024-03-15 00:00:00
2024-03-14T21:41:11.681207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:12.120575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기타지역2순위접수종료일
Date

Distinct615
Distinct (%)33.0%
Missing1
Missing (%)0.1%
Memory size14.7 KiB
Minimum2020-02-17 00:00:00
Maximum2024-03-15 00:00:00
2024-03-14T21:41:12.523777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:12.962711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

당첨자발표일
Date

Distinct690
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
Minimum2020-02-21 00:00:00
Maximum2024-03-21 00:00:00
2024-03-14T21:41:13.371238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:13.805200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약시작일
Date

Distinct612
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
Minimum2020-03-03 00:00:00
Maximum2024-05-22 00:00:00
2024-03-14T21:41:14.213127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:14.850905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

계약종료일
Date

Distinct764
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
Minimum2020-03-05 00:00:00
Maximum2024-05-24 00:00:00
2024-03-14T21:41:15.261640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:15.710565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

홈페이지주소
Text

MISSING 

Distinct1460
Distinct (%)84.4%
Missing133
Missing (%)7.1%
Memory size14.7 KiB
2024-03-14T21:41:16.537088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length51
Mean length26.936416
Min length13

Characters and Unicode

Total characters46600
Distinct characters377
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

Unique1334 ?
Unique (%)77.1%

Sample

1st rowhttps://apply.lh.or.kr/
2nd rowhttps://apply.lh.or.kr
3rd rowhttps://www.지제역반도체밸리해링턴플레이스.com
4th rowhttps://www.xi.co.kr/SDP
5th rowhttps://www.xi.co.kr/SDP
ValueCountFrequency (%)
https://apply.lh.or.kr 37
 
2.1%
https://www.elife.co.kr 24
 
1.4%
https://www.dlcon-apt.co.kr 13
 
0.8%
http://www.lottecastle.co.kr 13
 
0.8%
http://apply.lh.or.kr 12
 
0.7%
http://www.elife.co.kr 10
 
0.6%
https://www.lynn.co.kr 10
 
0.6%
https://apply.lh.or.kr/lh 8
 
0.5%
https://www.lh.or.kr 7
 
0.4%
https://lh.or.kr 7
 
0.4%
Other values (1421) 1589
91.8%
2024-03-14T21:41:17.843362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 4603
 
9.9%
t 4380
 
9.4%
. 3699
 
7.9%
w 2914
 
6.3%
o 2655
 
5.7%
h 2647
 
5.7%
p 2292
 
4.9%
c 2084
 
4.5%
: 1734
 
3.7%
r 1650
 
3.5%
Other values (367) 17942
38.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 31667
68.0%
Other Punctuation 10085
 
21.6%
Other Letter 3166
 
6.8%
Decimal Number 724
 
1.6%
Dash Punctuation 693
 
1.5%
Uppercase Letter 212
 
0.5%
Connector Punctuation 44
 
0.1%
Math Symbol 6
 
< 0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 142
 
4.5%
더 107
 
3.4%
리 94
 
3.0%
트 72
 
2.3%
아 66
 
2.1%
시 63
 
2.0%
이 59
 
1.9%
산 49
 
1.5%
샵 49
 
1.5%
동 46
 
1.5%
Other values (301) 2419
76.4%
Lowercase Letter
ValueCountFrequency (%)
t 4380
13.8%
w 2914
 
9.2%
o 2655
 
8.4%
h 2647
 
8.4%
p 2292
 
7.2%
c 2084
 
6.6%
r 1650
 
5.2%
s 1604
 
5.1%
a 1439
 
4.5%
e 1419
 
4.5%
Other values (15) 8583
27.1%
Uppercase Letter
ValueCountFrequency (%)
T 31
14.6%
A 30
14.2%
P 27
12.7%
D 19
9.0%
L 15
 
7.1%
H 12
 
5.7%
C 10
 
4.7%
S 9
 
4.2%
I 9
 
4.2%
M 7
 
3.3%
Other values (12) 43
20.3%
Decimal Number
ValueCountFrequency (%)
2 266
36.7%
0 159
22.0%
1 91
 
12.6%
3 71
 
9.8%
4 30
 
4.1%
6 27
 
3.7%
7 26
 
3.6%
5 22
 
3.0%
9 21
 
2.9%
8 11
 
1.5%
Other Punctuation
ValueCountFrequency (%)
/ 4603
45.6%
. 3699
36.7%
: 1734
 
17.2%
# 42
 
0.4%
? 7
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 693
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 44
100.0%
Math Symbol
ValueCountFrequency (%)
= 6
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 31879
68.4%
Common 11555
 
24.8%
Hangul 3166
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 142
 
4.5%
더 107
 
3.4%
리 94
 
3.0%
트 72
 
2.3%
아 66
 
2.1%
시 63
 
2.0%
이 59
 
1.9%
산 49
 
1.5%
샵 49
 
1.5%
동 46
 
1.5%
Other values (301) 2419
76.4%
Latin
ValueCountFrequency (%)
t 4380
13.7%
w 2914
 
9.1%
o 2655
 
8.3%
h 2647
 
8.3%
p 2292
 
7.2%
c 2084
 
6.5%
r 1650
 
5.2%
s 1604
 
5.0%
a 1439
 
4.5%
e 1419
 
4.5%
Other values (37) 8795
27.6%
Common
ValueCountFrequency (%)
/ 4603
39.8%
. 3699
32.0%
: 1734
 
15.0%
- 693
 
6.0%
2 266
 
2.3%
0 159
 
1.4%
1 91
 
0.8%
3 71
 
0.6%
_ 44
 
0.4%
# 42
 
0.4%
Other values (9) 153
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43434
93.2%
Hangul 3166
 
6.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 4603
 
10.6%
t 4380
 
10.1%
. 3699
 
8.5%
w 2914
 
6.7%
o 2655
 
6.1%
h 2647
 
6.1%
p 2292
 
5.3%
c 2084
 
4.8%
: 1734
 
4.0%
r 1650
 
3.8%
Other values (56) 14776
34.0%
Hangul
ValueCountFrequency (%)
스 142
 
4.5%
더 107
 
3.4%
리 94
 
3.0%
트 72
 
2.3%
아 66
 
2.1%
시 63
 
2.0%
이 59
 
1.9%
산 49
 
1.5%
샵 49
 
1.5%
동 46
 
1.5%
Other values (301) 2419
76.4%

건설업체명_시공사
Text

MISSING 

Distinct689
Distinct (%)39.1%
Missing99
Missing (%)5.3%
Memory size14.7 KiB
2024-03-14T21:41:18.707760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length9.0617914
Min length3

Characters and Unicode

Total characters15985
Distinct characters231
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique455 ?
Unique (%)25.8%

Sample

1st row진흥기업(주)
2nd row효성중공업(주)
3rd row지에스건설(주) 제일건설(주) 원광건설(주) (주)성도건설
4th row지에스건설(주) 제일건설(주) 원광건설(주) (주)성도건설
5th row지에스건설(주) 제일건설(주) 원광건설(주) (주)성도건설
ValueCountFrequency (%)
주식회사 346
 
14.6%
주)대우건설 74
 
3.1%
지에스건설(주 69
 
2.9%
현대건설(주 53
 
2.2%
주)포스코건설 45
 
1.9%
롯데건설(주 40
 
1.7%
주)호반건설 39
 
1.6%
제일건설(주 34
 
1.4%
주)서희건설 31
 
1.3%
현대엔지니어링(주 27
 
1.1%
Other values (607) 1611
68.0%
2024-03-14T21:41:20.019885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1843
 
11.5%
( 1408
 
8.8%
) 1408
 
8.8%
건 1391
 
8.7%
설 1302
 
8.1%
724
 
4.5%
사 418
 
2.6%
회 413
 
2.6%
식 411
 
2.6%
대 371
 
2.3%
Other values (221) 6296
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12241
76.6%
Open Punctuation 1408
 
8.8%
Close Punctuation 1408
 
8.8%
Space Separator 724
 
4.5%
Uppercase Letter 152
 
1.0%
Other Symbol 31
 
0.2%
Decimal Number 14
 
0.1%
Other Punctuation 5
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1843
 
15.1%
건 1391
 
11.4%
설 1302
 
10.6%
사 418
 
3.4%
회 413
 
3.4%
식 411
 
3.4%
대 371
 
3.0%
업 235
 
1.9%
스 214
 
1.7%
우 209
 
1.7%
Other values (197) 5434
44.4%
Uppercase Letter
ValueCountFrequency (%)
S 34
22.4%
C 23
15.1%
D 23
15.1%
G 20
13.2%
K 16
10.5%
H 13
 
8.6%
L 13
 
8.6%
E 3
 
2.0%
M 2
 
1.3%
N 2
 
1.3%
Other values (2) 3
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 9
64.3%
3 2
 
14.3%
2 1
 
7.1%
4 1
 
7.1%
6 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
e 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 1408
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1408
100.0%
Space Separator
ValueCountFrequency (%)
724
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 31
100.0%
Other Punctuation
ValueCountFrequency (%)
& 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12272
76.8%
Common 3559
 
22.3%
Latin 154
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1843
 
15.0%
건 1391
 
11.3%
설 1302
 
10.6%
사 418
 
3.4%
회 413
 
3.4%
식 411
 
3.3%
대 371
 
3.0%
업 235
 
1.9%
스 214
 
1.7%
우 209
 
1.7%
Other values (198) 5465
44.5%
Latin
ValueCountFrequency (%)
S 34
22.1%
C 23
14.9%
D 23
14.9%
G 20
13.0%
K 16
10.4%
H 13
 
8.4%
L 13
 
8.4%
E 3
 
1.9%
M 2
 
1.3%
N 2
 
1.3%
Other values (4) 5
 
3.2%
Common
ValueCountFrequency (%)
( 1408
39.6%
) 1408
39.6%
724
20.3%
1 9
 
0.3%
& 5
 
0.1%
3 2
 
0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12241
76.6%
ASCII 3713
 
23.2%
None 31
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1843
 
15.1%
건 1391
 
11.4%
설 1302
 
10.6%
사 418
 
3.4%
회 413
 
3.4%
식 411
 
3.4%
대 371
 
3.0%
업 235
 
1.9%
스 214
 
1.7%
우 209
 
1.7%
Other values (197) 5434
44.4%
ASCII
ValueCountFrequency (%)
( 1408
37.9%
) 1408
37.9%
724
19.5%
S 34
 
0.9%
C 23
 
0.6%
D 23
 
0.6%
G 20
 
0.5%
K 16
 
0.4%
H 13
 
0.4%
L 13
 
0.4%
Other values (13) 31
 
0.8%
None
ValueCountFrequency (%)
㈜ 31
100.0%

문의처
Text

Distinct1514
Distinct (%)81.7%
Missing9
Missing (%)0.5%
Memory size14.7 KiB
2024-03-14T21:41:21.098689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length10.451996
Min length9

Characters and Unicode

Total characters19378
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

Unique1326 ?
Unique (%)71.5%

Sample

1st row031-250-8181
2nd row031-250-8181
3rd row031-656-1209
4th row1660-1145
5th row1660-1145
ValueCountFrequency (%)
1600-1004 75
 
4.0%
031-250-8181 9
 
0.5%
062-441-4141 6
 
0.3%
031-767-6665 6
 
0.3%
1522-3636 6
 
0.3%
031-738-4534 6
 
0.3%
1566-5179 5
 
0.3%
031-250-4982 5
 
0.3%
1600-3456 5
 
0.3%
1660-1145 5
 
0.3%
Other values (1504) 1726
93.1%
2024-03-14T21:41:22.631337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3003
15.5%
- 2762
14.3%
1 2451
12.6%
3 1768
9.1%
5 1739
9.0%
6 1650
8.5%
2 1352
7.0%
8 1323
6.8%
4 1274
6.6%
7 1209
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16616
85.7%
Dash Punctuation 2762
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3003
18.1%
1 2451
14.8%
3 1768
10.6%
5 1739
10.5%
6 1650
9.9%
2 1352
8.1%
8 1323
8.0%
4 1274
7.7%
7 1209
7.3%
9 847
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 2762
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19378
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3003
15.5%
- 2762
14.3%
1 2451
12.6%
3 1768
9.1%
5 1739
9.0%
6 1650
8.5%
2 1352
7.0%
8 1323
6.8%
4 1274
6.6%
7 1209
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19378
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3003
15.5%
- 2762
14.3%
1 2451
12.6%
3 1768
9.1%
5 1739
9.0%
6 1650
8.5%
2 1352
7.0%
8 1323
6.8%
4 1274
6.6%
7 1209
6.2%

사업주체명_시행사
Text

Distinct951
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
2024-03-14T21:41:23.392424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length11.30059
Min length3

Characters and Unicode

Total characters21053
Distinct characters384
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique784 ?
Unique (%)42.1%

Sample

1st row한국토지주택공사 경기남부지역본부
2nd row한국토지주택공사 경기남부지역본부
3rd row평택가재피에프브이(주)
4th row송도국제화복합단지개발(주)
5th row송도국제화복합단지개발(주)
ValueCountFrequency (%)
주식회사 344
 
13.7%
한국토지주택공사 87
 
3.5%
주)무궁화신탁 70
 
2.8%
우리자산신탁 61
 
2.4%
코리아신탁(주 53
 
2.1%
교보자산신탁(주 51
 
2.0%
주)하나자산신탁 38
 
1.5%
한국자산신탁(주 38
 
1.5%
대한토지신탁(주 35
 
1.4%
아시아신탁주식회사 34
 
1.4%
Other values (1021) 1692
67.6%
2024-03-14T21:41:24.399817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1921
 
9.1%
) 896
 
4.3%
( 892
 
4.2%
사 864
 
4.1%
신 711
 
3.4%
642
 
3.0%
탁 601
 
2.9%
택 570
 
2.7%
지 536
 
2.5%
산 534
 
2.5%
Other values (374) 12886
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18205
86.5%
Close Punctuation 896
 
4.3%
Open Punctuation 892
 
4.2%
Space Separator 642
 
3.0%
Decimal Number 326
 
1.5%
Uppercase Letter 56
 
0.3%
Other Symbol 20
 
0.1%
Other Punctuation 9
 
< 0.1%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1921
 
10.6%
사 864
 
4.7%
신 711
 
3.9%
탁 601
 
3.3%
택 570
 
3.1%
지 536
 
2.9%
산 534
 
2.9%
합 461
 
2.5%
회 432
 
2.4%
식 416
 
2.3%
Other values (345) 11159
61.3%
Uppercase Letter
ValueCountFrequency (%)
H 15
26.8%
F 15
26.8%
N 14
25.0%
C 2
 
3.6%
P 2
 
3.6%
R 2
 
3.6%
A 1
 
1.8%
T 1
 
1.8%
B 1
 
1.8%
V 1
 
1.8%
Other values (2) 2
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 119
36.5%
2 60
18.4%
3 45
 
13.8%
4 34
 
10.4%
5 17
 
5.2%
6 15
 
4.6%
0 13
 
4.0%
9 8
 
2.5%
8 8
 
2.5%
7 7
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 6
66.7%
· 3
33.3%
Close Punctuation
ValueCountFrequency (%)
) 896
100.0%
Open Punctuation
ValueCountFrequency (%)
( 892
100.0%
Space Separator
ValueCountFrequency (%)
642
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18225
86.6%
Common 2772
 
13.2%
Latin 56
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1921
 
10.5%
사 864
 
4.7%
신 711
 
3.9%
탁 601
 
3.3%
택 570
 
3.1%
지 536
 
2.9%
산 534
 
2.9%
합 461
 
2.5%
회 432
 
2.4%
식 416
 
2.3%
Other values (346) 11179
61.3%
Common
ValueCountFrequency (%)
) 896
32.3%
( 892
32.2%
642
23.2%
1 119
 
4.3%
2 60
 
2.2%
3 45
 
1.6%
4 34
 
1.2%
5 17
 
0.6%
6 15
 
0.5%
0 13
 
0.5%
Other values (6) 39
 
1.4%
Latin
ValueCountFrequency (%)
H 15
26.8%
F 15
26.8%
N 14
25.0%
C 2
 
3.6%
P 2
 
3.6%
R 2
 
3.6%
A 1
 
1.8%
T 1
 
1.8%
B 1
 
1.8%
V 1
 
1.8%
Other values (2) 2
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18205
86.5%
ASCII 2825
 
13.4%
None 23
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1921
 
10.6%
사 864
 
4.7%
신 711
 
3.9%
탁 601
 
3.3%
택 570
 
3.1%
지 536
 
2.9%
산 534
 
2.9%
합 461
 
2.5%
회 432
 
2.4%
식 416
 
2.3%
Other values (345) 11159
61.3%
ASCII
ValueCountFrequency (%)
) 896
31.7%
( 892
31.6%
642
22.7%
1 119
 
4.2%
2 60
 
2.1%
3 45
 
1.6%
4 34
 
1.2%
5 17
 
0.6%
H 15
 
0.5%
F 15
 
0.5%
Other values (17) 90
 
3.2%
None
ValueCountFrequency (%)
㈜ 20
87.0%
· 3
 
13.0%

입주예정월
Date

Distinct101
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
Minimum2020-03-01 00:00:00
Maximum2029-03-01 00:00:00
2024-03-14T21:41:24.630648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T21:41:24.865571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

투기과열지구
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
False
1616 
True
247 
ValueCountFrequency (%)
False 1616
86.7%
True 247
 
13.3%
2024-03-14T21:41:25.060585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

조정대상지역
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
False
1209 
True
654 
ValueCountFrequency (%)
False 1209
64.9%
True 654
35.1%
2024-03-14T21:41:25.214483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

분양가상한제
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
False
1382 
True
481 
ValueCountFrequency (%)
False 1382
74.2%
True 481
 
25.8%
2024-03-14T21:41:25.393942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정비사업
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
False
1601 
True
262 
ValueCountFrequency (%)
False 1601
85.9%
True 262
 
14.1%
2024-03-14T21:41:25.687261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

공공주택지구
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
False
1726 
True
 
137
ValueCountFrequency (%)
False 1726
92.6%
True 137
 
7.4%
2024-03-14T21:41:25.841797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

대규모택지개발지구
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
False
1588 
True
275 
ValueCountFrequency (%)
False 1588
85.2%
True 275
 
14.8%
2024-03-14T21:41:25.991326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

수도권내민영공공주택지구
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
False
1836 
True
 
27
ValueCountFrequency (%)
False 1836
98.6%
True 27
 
1.4%
2024-03-14T21:41:26.148147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

모집공고URL
Text

UNIQUE 

Distinct1863
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size14.7 KiB
2024-03-14T21:41:27.027653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length109
Median length109
Mean length109
Min length109

Characters and Unicode

Total characters203067
Distinct characters43
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1863 ?
Unique (%)100.0%

Sample

1st rowhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024820004&pblancNo=2024820004
2nd rowhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024820003&pblancNo=2024820003
3rd rowhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024000094&pblancNo=2024000094
4th rowhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024000091&pblancNo=2024000091
5th rowhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024000090&pblancNo=2024000090
ValueCountFrequency (%)
https://www.applyhome.co.kr/ai/aia/selectaptlttotpblancdetail.do?housemanageno=2024820004&pblancno=2024820004 1
 
0.1%
https://www.applyhome.co.kr/ai/aia/selectaptlttotpblancdetail.do?housemanageno=2021000189&pblancno=2021000189 1
 
0.1%
https://www.applyhome.co.kr/ai/aia/selectaptlttotpblancdetail.do?housemanageno=2021000101&pblancno=2021000101 1
 
0.1%
https://www.applyhome.co.kr/ai/aia/selectaptlttotpblancdetail.do?housemanageno=2021000171&pblancno=2021000171 1
 
0.1%
https://www.applyhome.co.kr/ai/aia/selectaptlttotpblancdetail.do?housemanageno=2021000226&pblancno=2021000226 1
 
0.1%
https://www.applyhome.co.kr/ai/aia/selectaptlttotpblancdetail.do?housemanageno=2021000258&pblancno=2021000258 1
 
0.1%
https://www.applyhome.co.kr/ai/aia/selectaptlttotpblancdetail.do?housemanageno=2021000259&pblancno=2021000259 1
 
0.1%
https://www.applyhome.co.kr/ai/aia/selectaptlttotpblancdetail.do?housemanageno=2021000273&pblancno=2021000273 1
 
0.1%
https://www.applyhome.co.kr/ai/aia/selectaptlttotpblancdetail.do?housemanageno=2021000274&pblancno=2021000274 1
 
0.1%
https://www.applyhome.co.kr/ai/aia/selectaptlttotpblancdetail.do?housemanageno=2021000069&pblancno=2021000069 1
 
0.1%
Other values (1853) 1853
99.5%
2024-03-14T21:41:28.152260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 16767
 
8.3%
0 16658
 
8.2%
t 13041
 
6.4%
o 13041
 
6.4%
e 11178
 
5.5%
2 9780
 
4.8%
/ 9315
 
4.6%
l 9315
 
4.6%
c 7452
 
3.7%
p 7452
 
3.7%
Other values (33) 89068
43.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 122958
60.6%
Decimal Number 37260
 
18.3%
Other Punctuation 22356
 
11.0%
Uppercase Letter 16767
 
8.3%
Math Symbol 3726
 
1.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 16767
13.6%
t 13041
10.6%
o 13041
10.6%
e 11178
 
9.1%
l 9315
 
7.6%
c 7452
 
6.1%
p 7452
 
6.1%
n 5589
 
4.5%
i 5589
 
4.5%
h 5589
 
4.5%
Other values (10) 27945
22.7%
Decimal Number
ValueCountFrequency (%)
0 16658
44.7%
2 9780
26.2%
1 2438
 
6.5%
3 1786
 
4.8%
4 1256
 
3.4%
5 1200
 
3.2%
8 1190
 
3.2%
6 1114
 
3.0%
7 982
 
2.6%
9 856
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
N 3726
22.2%
P 3726
22.2%
M 1863
11.1%
L 1863
11.1%
D 1863
11.1%
T 1863
11.1%
A 1863
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 9315
41.7%
. 7452
33.3%
? 1863
 
8.3%
& 1863
 
8.3%
: 1863
 
8.3%
Math Symbol
ValueCountFrequency (%)
= 3726
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 139725
68.8%
Common 63342
31.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 16767
 
12.0%
t 13041
 
9.3%
o 13041
 
9.3%
e 11178
 
8.0%
l 9315
 
6.7%
c 7452
 
5.3%
p 7452
 
5.3%
n 5589
 
4.0%
i 5589
 
4.0%
h 5589
 
4.0%
Other values (17) 44712
32.0%
Common
ValueCountFrequency (%)
0 16658
26.3%
2 9780
15.4%
/ 9315
14.7%
. 7452
11.8%
= 3726
 
5.9%
1 2438
 
3.8%
? 1863
 
2.9%
& 1863
 
2.9%
: 1863
 
2.9%
3 1786
 
2.8%
Other values (6) 6598
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 203067
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 16767
 
8.3%
0 16658
 
8.2%
t 13041
 
6.4%
o 13041
 
6.4%
e 11178
 
5.5%
2 9780
 
4.8%
/ 9315
 
4.6%
l 9315
 
4.6%
c 7452
 
3.7%
p 7452
 
3.7%
Other values (33) 89068
43.9%

Sample

주택관리번호공고번호주택명주택구분코드주택구분코드명주택상세구분코드주택상세구분코드명분양구분코드분양구분코드명공급지역코드공급지역명공급위치우편번호공급위치공급규모모집공고일청약접수시작일청약접수종료일특별공급접수시작일특별공급접수종료일해당지역1순위접수시작일해당지역1순위접수종료일경기지역1순위접수시작일경기지역1순위접수종료일기타지역1순위접수시작일기타지역1순위접수종료일해당지역2순위접수시작일해당지역2순위접수종료일경기지역2순위접수시작일경기지역2순위접수종료일기타지역2순위접수시작일기타지역2순위접수종료일당첨자발표일계약시작일계약종료일홈페이지주소건설업체명_시공사문의처사업주체명_시행사입주예정월투기과열지구조정대상지역분양가상한제정비사업공공주택지구대규모택지개발지구수도권내민영공공주택지구모집공고URL
020248200042024820004성남판교대장 A-10블록 신혼희망타운(공공분양) 잔여세대10신혼희망타운3국민0분양주택410경기13544경기도 성남시 분당구 대장동176번지 일원 성남판교대장지구 내 A-10블록12024-02-292024-03-112024-03-12<NA><NA>2024-03-112024-03-11<NA><NA>2024-03-112024-03-112024-03-122024-03-12<NA><NA>2024-03-122024-03-122024-03-142024-05-222024-05-22https://apply.lh.or.kr/진흥기업(주)031-250-8181한국토지주택공사 경기남부지역본부2024-09NNNNNNNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024820004&pblancNo=2024820004
120248200032024820003수원당수 A-4블럭 신혼희망타운(공공분양) 잔여세대 추가입주자모집공고10신혼희망타운3국민0분양주택410경기16379경기도 수원시 권선구 당수로129번길 10 (당수동 라 포리엘)12024-02-292024-03-112024-03-12<NA><NA>2024-03-112024-03-112024-03-112024-03-112024-03-112024-03-112024-03-122024-03-122024-03-122024-03-122024-03-122024-03-122024-03-142024-04-082024-04-08https://apply.lh.or.kr<NA>031-250-8181한국토지주택공사 경기남부지역본부2024-04NNYNYYNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024820003&pblancNo=2024820003
220240000942024000094지제역 반도체밸리 해링턴 플레이스1APT1민영0분양주택410경기17743경기도 평택시 가재지구 도시개발사업 공동 3BL (가재동)12092024-02-292024-03-112024-03-132024-03-112024-03-112024-03-122024-03-12<NA><NA>2024-03-122024-03-122024-03-132024-03-13<NA><NA>2024-03-132024-03-132024-03-192024-04-012024-04-03https://www.지제역반도체밸리해링턴플레이스.com효성중공업(주)031-656-1209평택가재피에프브이(주)2027-02NNNNNNNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024000094&pblancNo=2024000094
320240000912024000091송도자이풍경채 그라노블 5단지1APT1민영0분양주택400인천21983인천광역시 연수구 송도동 553-2번지6102024-02-292024-03-112024-03-132024-03-112024-03-112024-03-122024-03-12<NA><NA>2024-03-122024-03-122024-03-132024-03-13<NA><NA>2024-03-132024-03-132024-03-212024-04-012024-04-07https://www.xi.co.kr/SDP지에스건설(주) 제일건설(주) 원광건설(주) (주)성도건설1660-1145송도국제화복합단지개발(주)2028-04NNNNNYNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024000091&pblancNo=2024000091
420240000902024000090송도자이풍경채 그라노블 4단지1APT1민영0분양주택400인천21983인천광역시 연수구 송도동 553번지5042024-02-292024-03-112024-03-132024-03-112024-03-112024-03-122024-03-12<NA><NA>2024-03-122024-03-122024-03-132024-03-13<NA><NA>2024-03-132024-03-132024-03-212024-04-012024-04-07https://www.xi.co.kr/SDP지에스건설(주) 제일건설(주) 원광건설(주) (주)성도건설1660-1145송도국제화복합단지개발(주)2028-04NNNNNYNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024000090&pblancNo=2024000090
520240000892024000089송도자이풍경채 그라노블 3단지1APT1민영0분양주택400인천21983인천광역시 연수구 송도동 554번지5972024-02-292024-03-112024-03-132024-03-112024-03-112024-03-122024-03-12<NA><NA>2024-03-122024-03-122024-03-132024-03-13<NA><NA>2024-03-132024-03-132024-03-212024-04-012024-04-07https://www.xi.co.kr/SDP지에스건설(주) 제일건설(주) 원광건설(주) (주)성도건설1660-1145송도국제화복합단지개발(주)2028-04NNNNNYNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024000089&pblancNo=2024000089
620240000882024000088송도자이풍경채 그라노블 2단지1APT1민영0분양주택400인천21983인천광역시 연수구 송도동 552번지5482024-02-292024-03-112024-03-132024-03-112024-03-112024-03-122024-03-12<NA><NA>2024-03-122024-03-122024-03-132024-03-13<NA><NA>2024-03-132024-03-132024-03-202024-04-012024-04-07https://www.xi.co.kr/SDP지에스건설(주) 제일건설(주) 원광건설(주) (주)성도건설1660-1145송도국제화복합단지개발(주)2027-06NNNNNYNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024000088&pblancNo=2024000088
720240000872024000087송도자이풍경채 그라노블 1단지1APT1민영0분양주택400인천21983인천광역시 연수구 송도동 551-1번지4692024-02-292024-03-112024-03-132024-03-112024-03-112024-03-122024-03-12<NA><NA>2024-03-122024-03-122024-03-132024-03-13<NA><NA>2024-03-132024-03-132024-03-202024-04-012024-04-07https://www.xi.co.kr/SDP지에스건설(주) 제일건설(주) 원광건설(주) (주)성도건설1660-1145송도국제화복합단지개발(주)2027-06NNNNNYNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024000087&pblancNo=2024000087
820240000862024000086대전 성남 우미린 뉴시티1APT1민영0분양주택300대전34590대전광역시 동구 성남동 1-97번지 일원7762024-02-292024-03-132024-03-152024-03-132024-03-132024-03-142024-03-14<NA><NA>2024-03-142024-03-142024-03-152024-03-15<NA><NA>2024-03-152024-03-152024-03-212024-04-012024-04-03https://dsr.lynn.co.kr/우미건설(주)042-531-1008성남동1구역재개발정비사업조합2027-06NNNYNNNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024000086&pblancNo=2024000086
920240000852024000085더폴 울산신정1APT1민영0분양주택680울산44672울산광역시 남구 신정동 1133-14 외 11필지1682024-02-292024-03-112024-03-132024-03-112024-03-112024-03-122024-03-12<NA><NA>2024-03-122024-03-122024-03-132024-03-13<NA><NA>2024-03-132024-03-132024-03-192024-04-012024-04-03https://sinjeong.thepole.co.kr/(주)우성종합건설052-276-6800(주)우성종합건설2027-02NNNNNNNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2024000085&pblancNo=2024000085
주택관리번호공고번호주택명주택구분코드주택구분코드명주택상세구분코드주택상세구분코드명분양구분코드분양구분코드명공급지역코드공급지역명공급위치우편번호공급위치공급규모모집공고일청약접수시작일청약접수종료일특별공급접수시작일특별공급접수종료일해당지역1순위접수시작일해당지역1순위접수종료일경기지역1순위접수시작일경기지역1순위접수종료일기타지역1순위접수시작일기타지역1순위접수종료일해당지역2순위접수시작일해당지역2순위접수종료일경기지역2순위접수시작일경기지역2순위접수종료일기타지역2순위접수시작일기타지역2순위접수종료일당첨자발표일계약시작일계약종료일홈페이지주소건설업체명_시공사문의처사업주체명_시행사입주예정월투기과열지구조정대상지역분양가상한제정비사업공공주택지구대규모택지개발지구수도권내민영공공주택지구모집공고URL
185320200000412020000041두호 SK VIEW 푸르지오 1단지1APT1민영0분양주택712경북37623경상북도 포항시 북구 두호로 66 (두호동 두호 SK VIEW 푸르지오)912020-02-142020-02-242020-02-262020-02-242020-02-242020-02-252020-02-25<NA><NA>2020-02-252020-02-252020-02-262020-02-26<NA><NA>2020-02-262020-02-262020-03-032020-03-172020-03-19http://www.duho.co.krSK건설 대우건설054-275-2220두호주공1차아파트주택재건축정비사업조합2020-03NNNNNNNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2020000041&pblancNo=2020000041
185420200000282020000028대연 삼정그린코아 더 베스트1APT1민영0분양주택600부산48431부산광역시 남구 수영로325번길 175 (대연동)3372020-02-142020-02-262020-02-282020-02-262020-02-262020-02-272020-02-27<NA><NA>2020-02-272020-02-272020-02-282020-02-28<NA><NA>2020-02-282020-02-282020-03-042020-03-162020-03-18http://greencorebest-dy.co.kr/삼정건설 주식회사051-744-1008(주)위드워킹2022-10NNNNNNNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2020000028&pblancNo=2020000028
185520200000862020000086구월 뷰그리안1APT1민영0분양주택400인천21542인천광역시 남동구 구월로265번길 8 (구월동 우정아파트)402020-02-132020-02-242020-02-25<NA><NA>2020-02-242020-02-24<NA><NA>2020-02-242020-02-242020-02-252020-02-25<NA><NA>2020-02-252020-02-252020-03-042020-03-162020-03-18<NA>기성건설032-472-2200우정아파트1동2동가로주택정비사업조합2022-01NNNNNNNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2020000086&pblancNo=2020000086
185620200000802020000080평창 엘리엇아파트1APT1민영0분양주택200강원25306강원도 평창군 봉평면 안흥동1길 25-4 (엘이엇아파트)1502020-02-122020-02-182020-02-19<NA><NA>2020-02-182020-02-18<NA><NA>2020-02-182020-02-182020-02-192020-02-19<NA><NA>2020-02-192020-02-192020-02-252020-03-092020-03-11http://www.ktrust.co.kr/에이치아이건설 주식회사033-332-5732코리아신탁(주)2020-03NNNNNNNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2020000080&pblancNo=2020000080
185720200000522020000052무주에코르 10년 공공임대주택1APT3국민1분양전환 가능임대560전북55549전북 무주군 설천면 소천리 983-18번지802020-02-112020-02-252020-02-272020-02-252020-02-252020-02-262020-02-26<NA><NA>2020-02-262020-02-262020-02-272020-02-27<NA><NA>2020-02-272020-02-272020-03-042020-04-202020-04-22http://www.jbdc.co.kr주식회사 새한063-280-7417전북개발공사2020-08NNNNNNNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2020000052&pblancNo=2020000052
185820200000402020000040매교역 푸르지오 SK VIEW(수원)1APT1민영0분양주택410경기16468경기도 수원시 팔달구 정조로 688-8 (매교동)17952020-02-072020-02-182020-02-202020-02-182020-02-182020-02-192020-02-19<NA><NA>2020-02-192020-02-192020-02-202020-02-20<NA><NA>2020-02-202020-02-202020-02-272020-03-162020-03-24http://www.prugio.com/house/2020/maegyo(주)대우건설1800-4844팔달8구역 주택재개발2022-07NNNYNNNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2020000040&pblancNo=2020000040
185920200000102020000010양주옥정유림노르웨이숲1APT1민영0분양주택410경기11478경기도 양주시 옥정동 1097 (옥정택지개발지구 A-20(1)블록)11402020-02-072020-02-182020-02-202020-02-182020-02-182020-02-192020-02-192020-02-192020-02-192020-02-192020-02-192020-02-202020-02-202020-02-202020-02-202020-02-202020-02-202020-02-272020-03-102020-03-12http://okjung-yulim.com(주)유림 E&C031-868-8110(주)유림이엔씨2023-01NNYNYYNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2020000010&pblancNo=2020000010
186020200000092020000009의왕 오전 동아루미체1APT1민영0분양주택410경기16060경기도 의왕시 전주남이길 23-26 (오전동)652020-02-052020-02-172020-02-192020-02-172020-02-172020-02-182020-02-18<NA><NA>2020-02-182020-02-182020-02-192020-02-19<NA><NA>2020-02-192020-02-192020-02-252020-03-092020-03-11<NA>(주)동아토건031-452-7750(주)휘보건설2021-12NNNNNNNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2020000009&pblancNo=2020000009
186120200000072020000007학성동 동남하이빌아파트1APT1민영0분양주택680울산44519울산광역시 중구 구역전길 24-10 (학성동)692020-02-042020-02-142020-02-17<NA><NA>2020-02-142020-02-14<NA><NA>2020-02-142020-02-142020-02-172020-02-17<NA><NA>2020-02-172020-02-172020-02-212020-03-032020-03-05<NA>일위종합건설(주)052-268-1866동남건설산업(주)2020-03NNNNNNNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2020000007&pblancNo=2020000007
186220200000052020000005경북도청신도시 코오롱하늘채1APT3국민1분양전환 가능임대712경북36759경상북도 안동시 풍천면 갈전리 11778692020-02-032020-02-212020-02-252020-02-212020-02-212020-02-242020-02-24<NA><NA>2020-02-242020-02-242020-02-252020-02-25<NA><NA>2020-02-252020-02-252020-03-022020-04-272020-04-29https://www.gbdc.co.kr/modelhouse/index.html코오롱글로벌(주)054-843-1500경상북도개발공사2020-07NNNNNNNhttps://www.applyhome.co.kr/ai/aia/selectAPTLttotPblancDetail.do?houseManageNo=2020000005&pblancNo=2020000005