Overview

Dataset statistics

Number of variables3
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory900.0 B
Average record size in memory28.1 B

Variable types

Categorical2
Text1

Dataset

Description사립학교교직원연금공단 해외대체 투자자산 위탁운용사 내역과 관련된 데이터로 분류, 거래기관 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15045861/fileData.do

Alerts

기준일 has constant value ""Constant
분류 has constant value ""Constant
거래기관 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:41:40.314755
Analysis finished2023-12-12 05:41:40.539289
Duration0.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-05-10
32 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-10
2nd row2023-05-10
3rd row2023-05-10
4th row2023-05-10
5th row2023-05-10

Common Values

ValueCountFrequency (%)
2023-05-10 32
100.0%

Length

2023-12-12T14:41:40.606699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:41:40.703535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-10 32
100.0%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
해외 간접투자
32 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row해외 간접투자
2nd row해외 간접투자
3rd row해외 간접투자
4th row해외 간접투자
5th row해외 간접투자

Common Values

ValueCountFrequency (%)
해외 간접투자 32
100.0%

Length

2023-12-12T14:41:40.790328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:41:40.872298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해외 32
50.0%
간접투자 32
50.0%

거래기관
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T14:41:41.029476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length11.0625
Min length3

Characters and Unicode

Total characters354
Distinct characters74
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

Unique32 ?
Unique (%)100.0%

Sample

1st rowArdian
2nd rowAres
3rd rowBlackstone Group
4th rowBrookfield
5th rowBenefit Street Partners
ValueCountFrequency (%)
partners 5
 
10.6%
group 4
 
8.5%
capital 2
 
4.3%
메리츠부동산자산운용 1
 
2.1%
neuberger 1
 
2.1%
berman 1
 
2.1%
oaktree 1
 
2.1%
pantheon 1
 
2.1%
starwood 1
 
2.1%
stepstone 1
 
2.1%
Other values (29) 29
61.7%
2023-12-12T14:41:41.352571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 35
 
9.9%
r 29
 
8.2%
a 26
 
7.3%
t 24
 
6.8%
n 19
 
5.4%
15
 
4.2%
o 13
 
3.7%
s 11
 
3.1%
자 10
 
2.8%
산 9
 
2.5%
Other values (64) 163
46.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 215
60.7%
Other Letter 70
 
19.8%
Uppercase Letter 54
 
15.3%
Space Separator 15
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 10
14.3%
산 9
12.9%
운 9
12.9%
용 9
12.9%
리 2
 
2.9%
투 2
 
2.9%
스 2
 
2.9%
하 2
 
2.9%
나 2
 
2.9%
삼 2
 
2.9%
Other values (21) 21
30.0%
Lowercase Letter
ValueCountFrequency (%)
e 35
16.3%
r 29
13.5%
a 26
12.1%
t 24
11.2%
n 19
8.8%
o 13
 
6.0%
s 11
 
5.1%
i 8
 
3.7%
l 8
 
3.7%
u 7
 
3.3%
Other values (13) 35
16.3%
Uppercase Letter
ValueCountFrequency (%)
S 8
14.8%
P 6
11.1%
G 5
 
9.3%
C 5
 
9.3%
B 5
 
9.3%
A 3
 
5.6%
L 3
 
5.6%
R 2
 
3.7%
M 2
 
3.7%
T 2
 
3.7%
Other values (9) 13
24.1%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 269
76.0%
Hangul 70
 
19.8%
Common 15
 
4.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 35
 
13.0%
r 29
 
10.8%
a 26
 
9.7%
t 24
 
8.9%
n 19
 
7.1%
o 13
 
4.8%
s 11
 
4.1%
i 8
 
3.0%
l 8
 
3.0%
S 8
 
3.0%
Other values (32) 88
32.7%
Hangul
ValueCountFrequency (%)
자 10
14.3%
산 9
12.9%
운 9
12.9%
용 9
12.9%
리 2
 
2.9%
투 2
 
2.9%
스 2
 
2.9%
하 2
 
2.9%
나 2
 
2.9%
삼 2
 
2.9%
Other values (21) 21
30.0%
Common
ValueCountFrequency (%)
15
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 284
80.2%
Hangul 70
 
19.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 35
 
12.3%
r 29
 
10.2%
a 26
 
9.2%
t 24
 
8.5%
n 19
 
6.7%
15
 
5.3%
o 13
 
4.6%
s 11
 
3.9%
i 8
 
2.8%
l 8
 
2.8%
Other values (33) 96
33.8%
Hangul
ValueCountFrequency (%)
자 10
14.3%
산 9
12.9%
운 9
12.9%
용 9
12.9%
리 2
 
2.9%
투 2
 
2.9%
스 2
 
2.9%
하 2
 
2.9%
나 2
 
2.9%
삼 2
 
2.9%
Other values (21) 21
30.0%

Missing values

2023-12-12T14:41:40.414241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:41:40.511978image/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

기준일분류거래기관
02023-05-10해외 간접투자Ardian
12023-05-10해외 간접투자Ares
22023-05-10해외 간접투자Blackstone Group
32023-05-10해외 간접투자Brookfield
42023-05-10해외 간접투자Benefit Street Partners
52023-05-10해외 간접투자Carlye Partners
62023-05-10해외 간접투자Crescent Capital group
72023-05-10해외 간접투자EQT
82023-05-10해외 간접투자GSO
92023-05-10해외 간접투자Hamiltone Lane
기준일분류거래기관
222023-05-10해외 간접투자Strategic Partners
232023-05-10해외 간접투자메리츠부동산자산운용
242023-05-10해외 간접투자미래에셋자산운용
252023-05-10해외 간접투자삼성SRA자산운용
262023-05-10해외 간접투자삼천리자산운용
272023-05-10해외 간접투자이지스자산운용
282023-05-10해외 간접투자트러스톤자산운용
292023-05-10해외 간접투자하나UBS자산운용
302023-05-10해외 간접투자하나대체투자자산운용
312023-05-10해외 간접투자한국투자신탁운용