Overview

Dataset statistics

Number of variables5
Number of observations95
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory42.4 B

Variable types

Categorical1
Text2
Numeric1
DateTime1

Dataset

Description주택도시기금의 출자가 승인된 공공 임대리츠의 리츠명, 사업장 주소, 공급세대 및 주택도시기금 기금출자 승인일 등 기재하였음
Author주택도시보증공사
URLhttps://www.data.go.kr/data/15071225/fileData.do

Reproduction

Analysis started2024-03-16 04:11:03.115577
Analysis finished2024-03-16 04:11:17.179834
Duration14.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

리츠명
Categorical

Distinct24
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size892.0 B
NHF제11호
7 
NHF제8호
 
6
NHF제10호
 
6
NHF제7호
 
6
NHF제12호
 
5
Other values (19)
65 

Length

Max length12
Median length11
Mean length10.2
Min length4

Unique

Unique4 ?
Unique (%)4.2%

Sample

1st row NHF제1호
2nd row NHF제1호
3rd row NHF제1호
4th row NHF제1호
5th row NHF제2호

Common Values

ValueCountFrequency (%)
NHF제11호 7
 
7.4%
NHF제8호 6
 
6.3%
NHF제10호 6
 
6.3%
NHF제7호 6
 
6.3%
NHF제12호 5
 
5.3%
NHF제3호 5
 
5.3%
NHF제4호 5
 
5.3%
NHF제6호 5
 
5.3%
NHF제9호 5
 
5.3%
NHF제13호 5
 
5.3%
Other values (14) 40
42.1%

Length

2024-03-16T13:11:17.336421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nhf제11호 7
 
7.4%
nhf제10호 6
 
6.3%
nhf제7호 6
 
6.3%
nhf제8호 6
 
6.3%
서울리츠 5
 
5.3%
nhf제12호 5
 
5.3%
nhf제3호 5
 
5.3%
nhf제4호 5
 
5.3%
nhf제6호 5
 
5.3%
nhf제9호 5
 
5.3%
Other values (13) 40
42.1%

사업장주소
Text

Distinct94
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-03-16T13:11:18.168698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length15.557895
Min length2

Characters and Unicode

Total characters1478
Distinct characters144
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)97.9%

Sample

1st row경기도 하남미사 A29BL
2nd row경기도 김포한강 AC-05BL
3rd row경기도 평택소사벌 B2BL
4th row경기도 화성동탄2 A40BL
5th row경기도 시흥목감 A3BL
ValueCountFrequency (%)
경기도 59
 
17.3%
화성시 10
 
2.9%
대구시 8
 
2.3%
시흥시 6
 
1.8%
동탄2 6
 
1.8%
b-1bl 5
 
1.5%
s-1bl 5
 
1.5%
a-2bl 5
 
1.5%
의정부시 5
 
1.5%
고산 4
 
1.2%
Other values (174) 228
66.9%
2024-03-16T13:11:19.112320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
258
17.5%
B 114
 
7.7%
L 90
 
6.1%
시 85
 
5.8%
도 73
 
4.9%
경 65
 
4.4%
- 65
 
4.4%
기 59
 
4.0%
A 44
 
3.0%
2 43
 
2.9%
Other values (134) 582
39.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 726
49.1%
Uppercase Letter 264
 
17.9%
Space Separator 258
 
17.5%
Decimal Number 155
 
10.5%
Dash Punctuation 65
 
4.4%
Close Punctuation 4
 
0.3%
Open Punctuation 4
 
0.3%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 85
 
11.7%
도 73
 
10.1%
경 65
 
9.0%
기 59
 
8.1%
주 21
 
2.9%
정 20
 
2.8%
남 18
 
2.5%
성 14
 
1.9%
화 13
 
1.8%
양 13
 
1.8%
Other values (111) 345
47.5%
Decimal Number
ValueCountFrequency (%)
2 43
27.7%
1 36
23.2%
3 21
13.5%
0 12
 
7.7%
4 11
 
7.1%
5 9
 
5.8%
6 8
 
5.2%
8 7
 
4.5%
9 6
 
3.9%
7 2
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
B 114
43.2%
L 90
34.1%
A 44
 
16.7%
S 13
 
4.9%
C 1
 
0.4%
M 1
 
0.4%
Z 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
a 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 726
49.1%
Common 486
32.9%
Latin 266
 
18.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 85
 
11.7%
도 73
 
10.1%
경 65
 
9.0%
기 59
 
8.1%
주 21
 
2.9%
정 20
 
2.8%
남 18
 
2.5%
성 14
 
1.9%
화 13
 
1.8%
양 13
 
1.8%
Other values (111) 345
47.5%
Common
ValueCountFrequency (%)
258
53.1%
- 65
 
13.4%
2 43
 
8.8%
1 36
 
7.4%
3 21
 
4.3%
0 12
 
2.5%
4 11
 
2.3%
5 9
 
1.9%
6 8
 
1.6%
8 7
 
1.4%
Other values (4) 16
 
3.3%
Latin
ValueCountFrequency (%)
B 114
42.9%
L 90
33.8%
A 44
 
16.5%
S 13
 
4.9%
C 1
 
0.4%
a 1
 
0.4%
M 1
 
0.4%
Z 1
 
0.4%
c 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 752
50.9%
Hangul 726
49.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
258
34.3%
B 114
15.2%
L 90
 
12.0%
- 65
 
8.6%
A 44
 
5.9%
2 43
 
5.7%
1 36
 
4.8%
3 21
 
2.8%
S 13
 
1.7%
0 12
 
1.6%
Other values (13) 56
 
7.4%
Hangul
ValueCountFrequency (%)
시 85
 
11.7%
도 73
 
10.1%
경 65
 
9.0%
기 59
 
8.1%
주 21
 
2.9%
정 20
 
2.8%
남 18
 
2.5%
성 14
 
1.9%
화 13
 
1.8%
양 13
 
1.8%
Other values (111) 345
47.5%

시공사
Text

Distinct56
Distinct (%)58.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2024-03-16T13:11:19.484381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length4
Mean length5.3684211
Min length2

Characters and Unicode

Total characters510
Distinct characters81
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)40.0%

Sample

1st row효성
2nd row코오롱글로벌
3rd row한신공영
4th row이수건설
5th row한진중공업
ValueCountFrequency (%)
대보건설 9
 
8.1%
금호산업 9
 
8.1%
케이알산업 5
 
4.5%
이수건설 5
 
4.5%
태영건설 5
 
4.5%
서희건설 4
 
3.6%
신동아건설 4
 
3.6%
계룡건설 4
 
3.6%
코오롱글로벌 4
 
3.6%
한신공영 4
 
3.6%
Other values (45) 58
52.3%
2024-03-16T13:11:20.297931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 68
 
13.3%
설 66
 
12.9%
업 29
 
5.7%
산 25
 
4.9%
대 16
 
3.1%
16
 
3.1%
, 16
 
3.1%
이 13
 
2.5%
한 11
 
2.2%
호 10
 
2.0%
Other values (71) 240
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 472
92.5%
Space Separator 16
 
3.1%
Other Punctuation 16
 
3.1%
Uppercase Letter 5
 
1.0%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 68
 
14.4%
설 66
 
14.0%
업 29
 
6.1%
산 25
 
5.3%
대 16
 
3.4%
이 13
 
2.8%
한 11
 
2.3%
호 10
 
2.1%
영 10
 
2.1%
보 10
 
2.1%
Other values (64) 214
45.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
S 1
20.0%
G 1
20.0%
K 1
20.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 472
92.5%
Common 33
 
6.5%
Latin 5
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 68
 
14.4%
설 66
 
14.0%
업 29
 
6.1%
산 25
 
5.3%
대 16
 
3.4%
이 13
 
2.8%
한 11
 
2.3%
호 10
 
2.1%
영 10
 
2.1%
보 10
 
2.1%
Other values (64) 214
45.3%
Latin
ValueCountFrequency (%)
C 2
40.0%
S 1
20.0%
G 1
20.0%
K 1
20.0%
Common
ValueCountFrequency (%)
16
48.5%
, 16
48.5%
) 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 472
92.5%
ASCII 38
 
7.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 68
 
14.4%
설 66
 
14.0%
업 29
 
6.1%
산 25
 
5.3%
대 16
 
3.4%
이 13
 
2.8%
한 11
 
2.3%
호 10
 
2.1%
영 10
 
2.1%
보 10
 
2.1%
Other values (64) 214
45.3%
ASCII
ValueCountFrequency (%)
16
42.1%
, 16
42.1%
C 2
 
5.3%
S 1
 
2.6%
G 1
 
2.6%
K 1
 
2.6%
) 1
 
2.6%

출자세대수(세대)
Real number (ℝ)

Distinct91
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean803.06316
Minimum119
Maximum2200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2024-03-16T13:11:20.559543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum119
5-th percentile354.9
Q1526
median706
Q3954
95-th percentile1520.3
Maximum2200
Range2081
Interquartile range (IQR)428

Descriptive statistics

Standard deviation390.06415
Coefficient of variation (CV)0.48572039
Kurtosis1.5548286
Mean803.06316
Median Absolute Deviation (MAD)216
Skewness1.158954
Sum76291
Variance152150.04
MonotonicityNot monotonic
2024-03-16T13:11:20.846721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450 2
 
2.1%
404 2
 
2.1%
678 2
 
2.1%
526 2
 
2.1%
357 1
 
1.1%
823 1
 
1.1%
1326 1
 
1.1%
670 1
 
1.1%
1006 1
 
1.1%
786 1
 
1.1%
Other values (81) 81
85.3%
ValueCountFrequency (%)
119 1
1.1%
234 1
1.1%
287 1
1.1%
300 1
1.1%
350 1
1.1%
357 1
1.1%
383 1
1.1%
395 1
1.1%
400 1
1.1%
403 1
1.1%
ValueCountFrequency (%)
2200 1
1.1%
2000 1
1.1%
1763 1
1.1%
1594 1
1.1%
1521 1
1.1%
1520 1
1.1%
1456 1
1.1%
1438 1
1.1%
1422 1
1.1%
1401 1
1.1%

기금출자 승인일
Date

Distinct19
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
Minimum2014-08-26 00:00:00
Maximum2021-12-16 00:00:00
2024-03-16T13:11:21.077931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:11:21.242266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

Interactions

2024-03-16T13:11:16.519831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:11:21.347691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
리츠명사업장주소시공사출자세대수(세대)기금출자 승인일
리츠명1.0000.0000.8920.5991.000
사업장주소0.0001.0001.0000.0000.000
시공사0.8921.0001.0000.8400.889
출자세대수(세대)0.5990.0000.8401.0000.523
기금출자 승인일1.0000.0000.8890.5231.000
2024-03-16T13:11:21.486436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출자세대수(세대)리츠명
출자세대수(세대)1.0000.245
리츠명0.2451.000

Missing values

2024-03-16T13:11:16.824179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:11:17.094230image/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
0NHF제1호경기도 하남미사 A29BL효성14012014-08-26
1NHF제1호경기도 김포한강 AC-05BL코오롱글로벌17632014-08-26
2NHF제1호경기도 평택소사벌 B2BL한신공영6322014-08-26
3NHF제1호경기도 화성동탄2 A40BL이수건설6522014-08-26
4NHF제2호경기도 시흥목감 A3BL한진중공업9442014-08-26
5NHF제2호경기도 오산세교 B6BL쌍용건설10222014-08-26
6NHF제2호경기도 광주 선운 3BL한화건설7272014-08-26
7NHF제3호경기도 파주 운정 A20BL대우산업개발, 남양건설)13622014-11-24
8NHF제3호대구시 테크노폴리스 A10BL이수건설9222014-11-24
9NHF제3호경기도 화성시 동탄2 A50BL이수건설8762014-11-24
리츠명사업장주소시공사출자세대수(세대)기금출자 승인일
85국민행복주택제2호인천시 영종 A-49BL정인종합건설4502016-12-28
86국민행복주택제2호경기도 의왕시 고천 A-1BL양우종합건설22002016-12-28
87국민행복주택제2호경기도 의정부시 고산 S2-1BL서한건설5002016-12-28
88국민행복주택제2호경기도 과천시 지식타운 S-11BL이테크건설8462016-12-28
89서울리츠서울시 은평2-14BL금호산업, 태영건설, 계룡산업개발3502017-05-30
90서울리츠서울시 은평 준주거2BL금호산업, 태영건설, 계룡산업개발6302017-05-30
91서울리츠서울시 신정3지구 A6BL금호산업, 태영건설, 계룡산업개발4992017-05-30
92서울리츠서울시 강일2지구 준주거보미건설, 케이알산업1192017-05-30
93서울리츠서울 광진구 자양동 680-63롯데건설3002021-12-16
94국민희망임대주택미정미정4002017-12-13