Overview

Dataset statistics

Number of variables3
Number of observations413
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory25.3 B

Variable types

Numeric1
Categorical1
Text1

Dataset

Description분기마다 업데이트되는 국민연금기금의 위탁운용사에 대한 정보로 자산별(국내외 주식, 채권, 대체투자) 위탁운용사 현황을 제공합니다.
Author국민연금공단
URLhttps://www.data.go.kr/data/15005664/fileData.do

Alerts

번호 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:18:05.827482
Analysis finished2024-04-06 08:18:06.607113
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct413
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207
Minimum1
Maximum413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-04-06T17:18:06.787260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.6
Q1104
median207
Q3310
95-th percentile392.4
Maximum413
Range412
Interquartile range (IQR)206

Descriptive statistics

Standard deviation119.36708
Coefficient of variation (CV)0.57665256
Kurtosis-1.2
Mean207
Median Absolute Deviation (MAD)103
Skewness0
Sum85491
Variance14248.5
MonotonicityStrictly increasing
2024-04-06T17:18:07.055957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
273 1
 
0.2%
283 1
 
0.2%
282 1
 
0.2%
281 1
 
0.2%
280 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
276 1
 
0.2%
Other values (403) 403
97.6%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
413 1
0.2%
412 1
0.2%
411 1
0.2%
410 1
0.2%
409 1
0.2%
408 1
0.2%
407 1
0.2%
406 1
0.2%
405 1
0.2%
404 1
0.2%

구분
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
국내대체(기업투자)
85 
해외대체(사모투자)
76 
해외대체(부동산)
63 
해외대체(인프라)
42 
해외주식
41 
Other values (7)
106 

Length

Max length10
Median length9
Mean length8.1355932
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내대체(기업투자) 85
20.6%
해외대체(사모투자) 76
18.4%
해외대체(부동산) 63
15.3%
해외대체(인프라) 42
10.2%
해외주식 41
9.9%
국내주식 28
 
6.8%
해외채권 18
 
4.4%
국내채권 17
 
4.1%
해외대체(헤지펀드) 17
 
4.1%
국내대체(부동산) 12
 
2.9%
Other values (2) 14
 
3.4%

Length

2024-04-06T17:18:07.589578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국내대체(기업투자 85
20.6%
해외대체(사모투자 76
18.4%
해외대체(부동산 63
15.3%
해외대체(인프라 42
10.2%
해외주식 41
9.9%
국내주식 28
 
6.8%
해외채권 18
 
4.4%
국내채권 17
 
4.1%
해외대체(헤지펀드 17
 
4.1%
국내대체(부동산 12
 
2.9%
Other values (2) 14
 
3.4%

위탁운용사명
Text

Distinct359
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-04-06T17:18:08.277702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length9.6246973
Min length3

Characters and Unicode

Total characters3975
Distinct characters206
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

Unique320 ?
Unique (%)77.5%

Sample

1st row교보악사자산운용
2nd row그로쓰힐자산운용
3rd row다올자산운용
4th row대신자산운용
5th row더제이자산운용
ValueCountFrequency (%)
capital 19
 
3.4%
partners 16
 
2.9%
management 6
 
1.1%
group 6
 
1.1%
미래에셋자산운용 5
 
0.9%
investment 5
 
0.9%
kb자산운용 5
 
0.9%
estate 4
 
0.7%
blackstone 4
 
0.7%
investors 4
 
0.7%
Other values (403) 479
86.6%
2024-04-06T17:18:09.215619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 250
 
6.3%
a 232
 
5.8%
r 195
 
4.9%
t 178
 
4.5%
n 175
 
4.4%
143
 
3.6%
i 135
 
3.4%
l 127
 
3.2%
o 120
 
3.0%
s 119
 
3.0%
Other values (196) 2301
57.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1965
49.4%
Other Letter 1131
28.5%
Uppercase Letter 700
 
17.6%
Space Separator 143
 
3.6%
Dash Punctuation 17
 
0.4%
Other Punctuation 14
 
0.4%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 91
 
8.0%
스 86
 
7.6%
트 83
 
7.3%
용 70
 
6.2%
운 70
 
6.2%
산 70
 
6.2%
이 37
 
3.3%
인 30
 
2.7%
베 30
 
2.7%
먼 28
 
2.5%
Other values (140) 536
47.4%
Lowercase Letter
ValueCountFrequency (%)
e 250
12.7%
a 232
11.8%
r 195
9.9%
t 178
9.1%
n 175
8.9%
i 135
 
6.9%
l 127
 
6.5%
o 120
 
6.1%
s 119
 
6.1%
d 48
 
2.4%
Other values (16) 386
19.6%
Uppercase Letter
ValueCountFrequency (%)
P 73
10.4%
C 70
 
10.0%
S 62
 
8.9%
A 56
 
8.0%
B 53
 
7.6%
M 52
 
7.4%
I 51
 
7.3%
G 43
 
6.1%
K 32
 
4.6%
E 30
 
4.3%
Other values (13) 178
25.4%
Other Punctuation
ValueCountFrequency (%)
. 8
57.1%
& 6
42.9%
Space Separator
ValueCountFrequency (%)
143
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2665
67.0%
Hangul 1131
28.5%
Common 179
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 91
 
8.0%
스 86
 
7.6%
트 83
 
7.3%
용 70
 
6.2%
운 70
 
6.2%
산 70
 
6.2%
이 37
 
3.3%
인 30
 
2.7%
베 30
 
2.7%
먼 28
 
2.5%
Other values (140) 536
47.4%
Latin
ValueCountFrequency (%)
e 250
 
9.4%
a 232
 
8.7%
r 195
 
7.3%
t 178
 
6.7%
n 175
 
6.6%
i 135
 
5.1%
l 127
 
4.8%
o 120
 
4.5%
s 119
 
4.5%
P 73
 
2.7%
Other values (39) 1061
39.8%
Common
ValueCountFrequency (%)
143
79.9%
- 17
 
9.5%
. 8
 
4.5%
& 6
 
3.4%
( 2
 
1.1%
) 2
 
1.1%
2 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2844
71.5%
Hangul 1131
 
28.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 250
 
8.8%
a 232
 
8.2%
r 195
 
6.9%
t 178
 
6.3%
n 175
 
6.2%
143
 
5.0%
i 135
 
4.7%
l 127
 
4.5%
o 120
 
4.2%
s 119
 
4.2%
Other values (46) 1170
41.1%
Hangul
ValueCountFrequency (%)
자 91
 
8.0%
스 86
 
7.6%
트 83
 
7.3%
용 70
 
6.2%
운 70
 
6.2%
산 70
 
6.2%
이 37
 
3.3%
인 30
 
2.7%
베 30
 
2.7%
먼 28
 
2.5%
Other values (140) 536
47.4%

Interactions

2024-04-06T17:18:06.206192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:18:09.405778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분
번호1.0000.926
구분0.9261.000
2024-04-06T17:18:09.575207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호구분
번호1.0000.737
구분0.7371.000

Missing values

2024-04-06T17:18:06.407144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:18:06.552320image/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

번호구분위탁운용사명
01국내주식교보악사자산운용
12국내주식그로쓰힐자산운용
23국내주식다올자산운용
34국내주식대신자산운용
45국내주식더제이자산운용
56국내주식마이다스에셋자산운용
67국내주식미래에셋자산운용
78국내주식베어링자산운용
89국내주식브이아이자산운용
910국내주식삼성액티브자산운용
번호구분위탁운용사명
403404해외대체(인프라)Morgan Stanley
404405해외대체(인프라)Pantheon
405406해외대체(인프라)Patria
406407해외대체(인프라)Riverstone
407408해외대체(인프라)Stepstone
408409해외대체(인프라)Stonepeak
409410해외대체(인프라)Westbourne
410411멀티에셋Allspring
411412멀티에셋BlackRock
412413멀티에셋MSIM