Overview

Dataset statistics

Number of variables5
Number of observations119
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory42.1 B

Variable types

Text2
Categorical1
Numeric1
DateTime1

Dataset

Description주택도시기금이 출자된 민간 임대리츠의 리츠명, 사업장 주소, 공급세대 및 주택도시기금 기금출자 승인일 등 기재하였음
Author주택도시보증공사
URLhttps://www.data.go.kr/data/15038891/fileData.do

Reproduction

Analysis started2024-03-14 23:12:48.137218
Analysis finished2024-03-14 23:12:49.637419
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct111
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T08:12:50.385050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length15.07563
Min length7

Characters and Unicode

Total characters1794
Distinct characters154
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)89.9%

Sample

1st row 케이비동자민간임대
2nd row 펨코제7호민간임대주택
3rd row 인천도화
4th row 마스턴제십일호
5th row 인천도화뉴스테이기업형임대
ValueCountFrequency (%)
케이비하나스테이제1호 4
 
3.4%
패시브하우스순환형임대주택 3
 
2.5%
패시브제로에너지임대리츠제2호 3
 
2.5%
운정신도시대우케이원제18호위탁관리부동산투자회사 2
 
1.7%
원주원동중흥대한제34호 1
 
0.8%
범양케이원제11호위탁관리부동산투자회사 1
 
0.8%
평택제십육호위탁관리부동산투자회사 1
 
0.8%
중흥카이트제19호위탁관리부동산투자회사 1
 
0.8%
전도관구역대한제31호 1
 
0.8%
제일하나제2호위탁관리부동산투자회사 1
 
0.8%
Other values (101) 101
84.9%
2024-03-15T08:12:51.887725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
 
9.8%
100
 
5.6%
95
 
5.3%
69
 
3.8%
65
 
3.6%
55
 
3.1%
53
 
3.0%
49
 
2.7%
47
 
2.6%
46
 
2.6%
Other values (144) 1039
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1487
82.9%
Space Separator 176
 
9.8%
Decimal Number 129
 
7.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
100
 
6.7%
95
 
6.4%
69
 
4.6%
65
 
4.4%
55
 
3.7%
53
 
3.6%
49
 
3.3%
47
 
3.2%
46
 
3.1%
46
 
3.1%
Other values (131) 862
58.0%
Decimal Number
ValueCountFrequency (%)
1 40
31.0%
2 28
21.7%
3 17
13.2%
4 13
 
10.1%
7 7
 
5.4%
5 6
 
4.7%
8 6
 
4.7%
9 5
 
3.9%
6 5
 
3.9%
0 2
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
176
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1487
82.9%
Common 305
 
17.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
100
 
6.7%
95
 
6.4%
69
 
4.6%
65
 
4.4%
55
 
3.7%
53
 
3.6%
49
 
3.3%
47
 
3.2%
46
 
3.1%
46
 
3.1%
Other values (131) 862
58.0%
Common
ValueCountFrequency (%)
176
57.7%
1 40
 
13.1%
2 28
 
9.2%
3 17
 
5.6%
4 13
 
4.3%
7 7
 
2.3%
5 6
 
2.0%
8 6
 
2.0%
9 5
 
1.6%
6 5
 
1.6%
Latin
ValueCountFrequency (%)
B 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1487
82.9%
ASCII 307
 
17.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
176
57.3%
1 40
 
13.0%
2 28
 
9.1%
3 17
 
5.5%
4 13
 
4.2%
7 7
 
2.3%
5 6
 
2.0%
8 6
 
2.0%
9 5
 
1.6%
6 5
 
1.6%
Other values (3) 4
 
1.3%
Hangul
ValueCountFrequency (%)
100
 
6.7%
95
 
6.4%
69
 
4.6%
65
 
4.4%
55
 
3.7%
53
 
3.6%
49
 
3.3%
47
 
3.2%
46
 
3.1%
46
 
3.1%
Other values (131) 862
58.0%
Distinct116
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-15T08:12:52.922400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length31
Mean length21.957983
Min length10

Characters and Unicode

Total characters2613
Distinct characters199
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

Unique113 ?
Unique (%)95.0%

Sample

1st row서울시 용산구 동자동 37-85 일원
2nd row서울시 강동구 길동 414-4
3rd row인천광역시 남구 도화동 43-7번지
4th row충청남도 천안시 서북구 두정동 1464번지
5th row인천 남구 도화동 도화 도시개발 사업구역 5BL, 6-1BL
ValueCountFrequency (%)
경기도 33
 
6.0%
일원 33
 
6.0%
서울 11
 
2.0%
서울시 10
 
1.8%
남구 8
 
1.5%
파주시 7
 
1.3%
화성시 6
 
1.1%
인천 6
 
1.1%
중구 6
 
1.1%
대구시 6
 
1.1%
Other values (330) 421
77.0%
2024-03-15T08:12:54.229002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
433
 
16.6%
120
 
4.6%
98
 
3.8%
- 96
 
3.7%
1 94
 
3.6%
93
 
3.6%
91
 
3.5%
2 71
 
2.7%
3 55
 
2.1%
54
 
2.1%
Other values (189) 1408
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1472
56.3%
Decimal Number 444
 
17.0%
Space Separator 433
 
16.6%
Uppercase Letter 124
 
4.7%
Dash Punctuation 96
 
3.7%
Other Punctuation 17
 
0.7%
Open Punctuation 13
 
0.5%
Close Punctuation 13
 
0.5%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
120
 
8.2%
98
 
6.7%
93
 
6.3%
91
 
6.2%
54
 
3.7%
49
 
3.3%
39
 
2.6%
39
 
2.6%
37
 
2.5%
37
 
2.5%
Other values (161) 815
55.4%
Decimal Number
ValueCountFrequency (%)
1 94
21.2%
2 71
16.0%
3 55
12.4%
4 44
9.9%
6 36
 
8.1%
5 36
 
8.1%
9 31
 
7.0%
7 29
 
6.5%
8 27
 
6.1%
0 21
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 51
41.1%
L 37
29.8%
A 27
21.8%
H 3
 
2.4%
D 1
 
0.8%
R 1
 
0.8%
F 1
 
0.8%
M 1
 
0.8%
S 1
 
0.8%
C 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 15
88.2%
. 1
 
5.9%
· 1
 
5.9%
Space Separator
ValueCountFrequency (%)
433
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1472
56.3%
Common 1016
38.9%
Latin 125
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
120
 
8.2%
98
 
6.7%
93
 
6.3%
91
 
6.2%
54
 
3.7%
49
 
3.3%
39
 
2.6%
39
 
2.6%
37
 
2.5%
37
 
2.5%
Other values (161) 815
55.4%
Common
ValueCountFrequency (%)
433
42.6%
- 96
 
9.4%
1 94
 
9.3%
2 71
 
7.0%
3 55
 
5.4%
4 44
 
4.3%
6 36
 
3.5%
5 36
 
3.5%
9 31
 
3.1%
7 29
 
2.9%
Other values (7) 91
 
9.0%
Latin
ValueCountFrequency (%)
B 51
40.8%
L 37
29.6%
A 27
21.6%
H 3
 
2.4%
D 1
 
0.8%
R 1
 
0.8%
F 1
 
0.8%
M 1
 
0.8%
b 1
 
0.8%
S 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1472
56.3%
ASCII 1140
43.6%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
433
38.0%
- 96
 
8.4%
1 94
 
8.2%
2 71
 
6.2%
3 55
 
4.8%
B 51
 
4.5%
4 44
 
3.9%
L 37
 
3.2%
6 36
 
3.2%
5 36
 
3.2%
Other values (17) 187
16.4%
Hangul
ValueCountFrequency (%)
120
 
8.2%
98
 
6.7%
93
 
6.3%
91
 
6.2%
54
 
3.7%
49
 
3.3%
39
 
2.6%
39
 
2.6%
37
 
2.5%
37
 
2.5%
Other values (161) 815
55.4%
None
ValueCountFrequency (%)
· 1
100.0%

시공사
Categorical

Distinct48
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
이랜드건설
10 
계룡건설산업
 
8
롯데건설
 
8
대림산업
 
7
우미건설
 
6
Other values (43)
80 

Length

Max length11
Median length4
Mean length4.8067227
Min length2

Unique

Unique25 ?
Unique (%)21.0%

Sample

1st row쌍용건설
2nd row요진건설산업
3rd row서희건설
4th row대림산업
5th row대림산업

Common Values

ValueCountFrequency (%)
이랜드건설 10
 
8.4%
계룡건설산업 8
 
6.7%
롯데건설 8
 
6.7%
대림산업 7
 
5.9%
우미건설 6
 
5.0%
대우건설 6
 
5.0%
중흥건설 4
 
3.4%
서희건설 4
 
3.4%
제일건설 4
 
3.4%
힐탑건설 4
 
3.4%
Other values (38) 58
48.7%

Length

2024-03-15T08:12:54.460237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이랜드건설 10
 
8.1%
롯데건설 8
 
6.5%
계룡건설산업 8
 
6.5%
대림산업 7
 
5.7%
대우건설 7
 
5.7%
우미건설 6
 
4.9%
제일건설 4
 
3.3%
힐탑건설 4
 
3.3%
서한 4
 
3.3%
서희건설 4
 
3.3%
Other values (40) 61
49.6%

출자세대수(세대)
Real number (ℝ)

Distinct115
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean803.39496
Minimum60
Maximum6341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-03-15T08:12:54.846008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile129.9
Q1344
median591
Q3989
95-th percentile2070.8
Maximum6341
Range6281
Interquartile range (IQR)645

Descriptive statistics

Standard deviation774.45688
Coefficient of variation (CV)0.96398026
Kurtosis22.022044
Mean803.39496
Median Absolute Deviation (MAD)312
Skewness3.7152271
Sum95604
Variance599783.46
MonotonicityNot monotonic
2024-03-15T08:12:55.352410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
406 2
 
1.7%
178 2
 
1.7%
552 2
 
1.7%
195 2
 
1.7%
910 1
 
0.8%
64 1
 
0.8%
332 1
 
0.8%
78 1
 
0.8%
949 1
 
0.8%
863 1
 
0.8%
Other values (105) 105
88.2%
ValueCountFrequency (%)
60 1
0.8%
64 1
0.8%
78 1
0.8%
96 1
0.8%
118 1
0.8%
120 1
0.8%
131 1
0.8%
136 1
0.8%
139 1
0.8%
145 1
0.8%
ValueCountFrequency (%)
6341 1
0.8%
3196 1
0.8%
2662 1
0.8%
2400 1
0.8%
2205 1
0.8%
2105 1
0.8%
2067 1
0.8%
2058 1
0.8%
1950 1
0.8%
1770 1
0.8%
Distinct73
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2014-11-17 00:00:00
Maximum2023-11-30 00:00:00
2024-03-15T08:12:55.745648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:12:56.174985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-15T08:12:48.780686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:12:56.394241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시공사출자세대수(세대)기금출자 승인일
시공사1.0000.8540.957
출자세대수(세대)0.8541.0000.870
기금출자 승인일0.9570.8701.000
2024-03-15T08:12:56.543621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출자세대수(세대)시공사
출자세대수(세대)1.0000.425
시공사0.4251.000

Missing values

2024-03-15T08:12:49.115562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:12:49.444464image/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

리츠명사업장주소시공사출자세대수(세대)기금출자 승인일
0케이비동자민간임대서울시 용산구 동자동 37-85 일원쌍용건설5672014-11-17
1펨코제7호민간임대주택서울시 강동구 길동 414-4요진건설산업1912014-11-17
2인천도화인천광역시 남구 도화동 43-7번지서희건설5202014-12-26
3마스턴제십일호충청남도 천안시 서북구 두정동 1464번지대림산업5862015-02-24
4인천도화뉴스테이기업형임대인천 남구 도화동 도화 도시개발 사업구역 5BL, 6-1BL대림산업21052015-04-28
5대한제1호뉴스테이경기도 수원시 권선구 오목천동 곳집말지구 A1블록한화건설24002015-04-28
6하나스테이제1호서울시 중구 왕십리로 407번지 일원반도건설7182015-04-29
7해피투게더스테이제1호서울 영등포구 대림동 994-1, 994-2KCC건설2932015-04-29
8동탄2대우코크랩뉴스테이기업형임대경기도 화성시 동탄순환대로 26길 81대우건설11352015-08-17
9위례뉴스테이기업형임대경기도 성남시 수정구 창곡동 위례지구 A2-14BL대림산업3602015-08-17
리츠명사업장주소시공사출자세대수(세대)기금출자 승인일
109이베데스다제6호위탁관리부동산투자회사경기도 수원시 팔달구 인계동 754-1번지 외 2필지이랜드건설2162023-09-25
110이베데스다대한제5호위탁관리부동산투자회사서울 서대문구 북가좌동 333-1 일원이랜드건설2712023-09-25
111인천공항영종제3호위탁관리부동산투자회사인천 중구 운서동 3106-1 일원(인천영종 A-9)대우건설8472023-11-01
112이베데스다대한제8호위탁관리부동산투자회사충남 천안시 서북구 성정동 1425번지 외 3필지이랜드건설6172023-11-01
113맹그로브제1호위탁관리부동산투자회사서울 서대문구 창천동 502-11 일원대성문1962023-11-16
114카이트제25호위탁관리부동산투자회사서울 마포구 동교동 173-2우평건설1952023-11-29
115하월곡동대한제43호위탁관리부동산투자회사서울 성북구 하월곡동 80-55외 23필지디앤시건설1362023-11-29
116서한하나제4호위탁관리부동산투자회사경기 평택시 고덕동 2722-3(고덕국제화계획지구 A-47)서한5102023-11-29
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