Overview

Dataset statistics

Number of variables3
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory924.0 B
Average record size in memory28.0 B

Variable types

Categorical2
Text1

Dataset

Description사립학교교직원연금공단 국내대체 투자자산 위탁운용사 내역과 관련된 데이터로 기준일, 분류, 거래기관 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15047614/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 08:51:45.900655
Analysis finished2023-12-12 08:51:46.143668
Duration0.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-05-10
33 

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 33
100.0%

Length

2023-12-12T17:51:46.229313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:51:46.357008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-10 33
100.0%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
국내 간접투자
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내 간접투자 33
100.0%

Length

2023-12-12T17:51:46.477461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:51:46.586459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 33
50.0%
간접투자 33
50.0%

거래기관
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-12T17:51:46.807131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.7878788
Min length3

Characters and Unicode

Total characters257
Distinct characters90
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

Unique33 ?
Unique (%)100.0%

Sample

1st rowDB자산운용
2nd rowH&Q Korea
3rd rowIBK
4th rowIMM프라이빗에쿼티
5th rowKB자산운용
ValueCountFrequency (%)
db자산운용 1
 
2.9%
인터베스트 1
 
2.9%
스톤브릿지캐피탈 1
 
2.9%
스틱인베스트먼트 1
 
2.9%
아주ib투자 1
 
2.9%
에이티넘인베스트먼트 1
 
2.9%
옥터스인베스트먼트 1
 
2.9%
유안타인베스트먼트 1
 
2.9%
케이리츠앤파트너스 1
 
2.9%
h&q 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T17:51:47.189881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 21
 
8.2%
스 19
 
7.4%
자 17
 
6.6%
운 12
 
4.7%
용 12
 
4.7%
산 11
 
4.3%
인 10
 
3.9%
베 9
 
3.5%
먼 8
 
3.1%
이 8
 
3.1%
Other values (80) 130
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 226
87.9%
Uppercase Letter 25
 
9.7%
Lowercase Letter 4
 
1.6%
Other Punctuation 1
 
0.4%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 21
 
9.3%
스 19
 
8.4%
자 17
 
7.5%
운 12
 
5.3%
용 12
 
5.3%
산 11
 
4.9%
인 10
 
4.4%
베 9
 
4.0%
먼 8
 
3.5%
이 8
 
3.5%
Other values (62) 99
43.8%
Uppercase Letter
ValueCountFrequency (%)
B 6
24.0%
K 4
16.0%
I 3
12.0%
S 2
 
8.0%
D 2
 
8.0%
M 2
 
8.0%
A 1
 
4.0%
R 1
 
4.0%
H 1
 
4.0%
Q 1
 
4.0%
Other values (2) 2
 
8.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
r 1
25.0%
e 1
25.0%
a 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 226
87.9%
Latin 29
 
11.3%
Common 2
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 21
 
9.3%
스 19
 
8.4%
자 17
 
7.5%
운 12
 
5.3%
용 12
 
5.3%
산 11
 
4.9%
인 10
 
4.4%
베 9
 
4.0%
먼 8
 
3.5%
이 8
 
3.5%
Other values (62) 99
43.8%
Latin
ValueCountFrequency (%)
B 6
20.7%
K 4
13.8%
I 3
10.3%
S 2
 
6.9%
D 2
 
6.9%
M 2
 
6.9%
A 1
 
3.4%
R 1
 
3.4%
H 1
 
3.4%
Q 1
 
3.4%
Other values (6) 6
20.7%
Common
ValueCountFrequency (%)
& 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 226
87.9%
ASCII 31
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 21
 
9.3%
스 19
 
8.4%
자 17
 
7.5%
운 12
 
5.3%
용 12
 
5.3%
산 11
 
4.9%
인 10
 
4.4%
베 9
 
4.0%
먼 8
 
3.5%
이 8
 
3.5%
Other values (62) 99
43.8%
ASCII
ValueCountFrequency (%)
B 6
19.4%
K 4
12.9%
I 3
 
9.7%
S 2
 
6.5%
D 2
 
6.5%
M 2
 
6.5%
A 1
 
3.2%
R 1
 
3.2%
H 1
 
3.2%
& 1
 
3.2%
Other values (8) 8
25.8%

Missing values

2023-12-12T17:51:46.018121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:51:46.103502image/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
02023-05-10국내 간접투자DB자산운용
12023-05-10국내 간접투자H&Q Korea
22023-05-10국내 간접투자IBK
32023-05-10국내 간접투자IMM프라이빗에쿼티
42023-05-10국내 간접투자KB자산운용
52023-05-10국내 간접투자KDB인프라자산운용
62023-05-10국내 간접투자우리벤처파트너스
72023-05-10국내 간접투자LB인베스트먼트
82023-05-10국내 간접투자SV인베스트먼트
92023-05-10국내 간접투자교보자산신탁
기준일분류거래기관
232023-05-10국내 간접투자유안타인베스트먼트
242023-05-10국내 간접투자인터베스트
252023-05-10국내 간접투자케이리츠앤파트너스
262023-05-10국내 간접투자티스톤
272023-05-10국내 간접투자티에스인베스트먼트
282023-05-10국내 간접투자퍼시픽투자운용
292023-05-10국내 간접투자하나대체투자자산운용
302023-05-10국내 간접투자한국교통자산운용
312023-05-10국내 간접투자한국투자파트너스
322023-05-10국내 간접투자한화자산운용