Overview

Dataset statistics

Number of variables3
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory882.0 B
Average record size in memory29.4 B

Variable types

Numeric1
Text2

Dataset

Description매년 FSB*에서 지정하는 G-SIB** 명단 *Financial Stability Board : 금융안정위원회 **Global Systemically Important Banks : 국제시스템적중요은행 ※ 참고: 당해에 해당하는 명단은 당해 11월에 발표되며, 전년도말 데이터를 기준으로 선정
URLhttps://www.data.go.kr/data/15064066/fileData.do

Alerts

순번 has unique valuesUnique
국제시스템적중요은행(G-SIB) 목록 has unique valuesUnique
홈페이지 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:37:31.456359
Analysis finished2023-12-12 07:37:31.892515
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-12T16:37:31.976846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2023-12-12T16:37:32.140084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

국제시스템적중요은행(G-SIB) 목록
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T16:37:32.437836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17.5
Mean length13.266667
Min length3

Characters and Unicode

Total characters398
Distinct characters42
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowJP Morgan Chase
2nd rowBank of America
3rd rowCitigroup
4th rowHSBC
5th rowBank of China
ValueCountFrequency (%)
bank 7
 
10.6%
of 5
 
7.6%
china 3
 
4.5%
fg 3
 
4.5%
credit 2
 
3.0%
morgan 2
 
3.0%
groupe 2
 
3.0%
dominion 1
 
1.5%
ubs 1
 
1.5%
ing 1
 
1.5%
Other values (39) 39
59.1%
2023-12-12T16:37:33.171805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
9.0%
a 34
 
8.5%
o 27
 
6.8%
n 26
 
6.5%
e 26
 
6.5%
i 25
 
6.3%
r 24
 
6.0%
t 21
 
5.3%
C 15
 
3.8%
B 13
 
3.3%
Other values (32) 151
37.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 279
70.1%
Uppercase Letter 83
 
20.9%
Space Separator 36
 
9.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 34
12.2%
o 27
9.7%
n 26
9.3%
e 26
9.3%
i 25
9.0%
r 24
 
8.6%
t 21
 
7.5%
s 12
 
4.3%
u 12
 
4.3%
l 12
 
4.3%
Other values (12) 60
21.5%
Uppercase Letter
ValueCountFrequency (%)
C 15
18.1%
B 13
15.7%
S 11
13.3%
G 8
9.6%
M 6
 
7.2%
F 5
 
6.0%
P 4
 
4.8%
A 3
 
3.6%
N 3
 
3.6%
U 3
 
3.6%
Other values (9) 12
14.5%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 362
91.0%
Common 36
 
9.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 34
 
9.4%
o 27
 
7.5%
n 26
 
7.2%
e 26
 
7.2%
i 25
 
6.9%
r 24
 
6.6%
t 21
 
5.8%
C 15
 
4.1%
B 13
 
3.6%
s 12
 
3.3%
Other values (31) 139
38.4%
Common
ValueCountFrequency (%)
36
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 398
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
 
9.0%
a 34
 
8.5%
o 27
 
6.8%
n 26
 
6.5%
e 26
 
6.5%
i 25
 
6.3%
r 24
 
6.0%
t 21
 
5.3%
C 15
 
3.8%
B 13
 
3.3%
Other values (32) 151
37.9%

홈페이지 주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T16:37:33.434552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length28.5
Mean length27.433333
Min length18

Characters and Unicode

Total characters823
Distinct characters31
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowhttps://www.jpmorganchase.com
2nd rowhttps://www.bankofamerica.com
3rd rowhttps://www.citigroup.com/citi/
4th rowhttps://www.hsbc.com
5th rowhttps://www.boc.cn
ValueCountFrequency (%)
https://www.jpmorganchase.com 1
 
3.3%
https://www.bankofamerica.com 1
 
3.3%
https://www.unicreditgroup.eu/en.html 1
 
3.3%
https://www.ubs.com 1
 
3.3%
https://www.td.com/ca/en 1
 
3.3%
https://www.smfg.co.jp/english 1
 
3.3%
https://www.statestreet.com/home.html 1
 
3.3%
https://www.sc.com/en 1
 
3.3%
https://particuliers.societegenerale.fr 1
 
3.3%
https://www.santanderbank.com 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T16:37:33.832534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 82
 
10.0%
/ 80
 
9.7%
t 78
 
9.5%
. 64
 
7.8%
c 49
 
6.0%
s 49
 
6.0%
o 43
 
5.2%
h 43
 
5.2%
p 41
 
5.0%
m 38
 
4.6%
Other values (21) 256
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 644
78.3%
Other Punctuation 174
 
21.1%
Dash Punctuation 3
 
0.4%
Decimal Number 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 82
12.7%
t 78
12.1%
c 49
 
7.6%
s 49
 
7.6%
o 43
 
6.7%
h 43
 
6.7%
p 41
 
6.4%
m 38
 
5.9%
e 36
 
5.6%
n 27
 
4.2%
Other values (15) 158
24.5%
Other Punctuation
ValueCountFrequency (%)
/ 80
46.0%
. 64
36.8%
: 30
 
17.2%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 645
78.4%
Common 178
 
21.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 82
12.7%
t 78
12.1%
c 49
 
7.6%
s 49
 
7.6%
o 43
 
6.7%
h 43
 
6.7%
p 41
 
6.4%
m 38
 
5.9%
e 36
 
5.6%
n 27
 
4.2%
Other values (16) 159
24.7%
Common
ValueCountFrequency (%)
/ 80
44.9%
. 64
36.0%
: 30
 
16.9%
- 3
 
1.7%
3 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 823
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 82
 
10.0%
/ 80
 
9.7%
t 78
 
9.5%
. 64
 
7.8%
c 49
 
6.0%
s 49
 
6.0%
o 43
 
5.2%
h 43
 
5.2%
p 41
 
5.0%
m 38
 
4.6%
Other values (21) 256
31.1%

Interactions

2023-12-12T16:37:31.590716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:37:33.941029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번국제시스템적중요은행(G-SIB) 목록홈페이지 주소
순번1.0001.0001.000
국제시스템적중요은행(G-SIB) 목록1.0001.0001.000
홈페이지 주소1.0001.0001.000

Missing values

2023-12-12T16:37:31.752148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:37:31.850308image/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

순번국제시스템적중요은행(G-SIB) 목록홈페이지 주소
01JP Morgan Chasehttps://www.jpmorganchase.com
12Bank of Americahttps://www.bankofamerica.com
23Citigrouphttps://www.citigroup.com/citi/
34HSBChttps://www.hsbc.com
45Bank of Chinahttps://www.boc.cn
56Barclayshttps://www.barclays.co.uk
67BNP Paribashttps://group.bnpparibas/en
78Deutsche Bankhttps://www.db.com
89Goldman Sachshttps://www.goldmansachs.com
910ICBChttps://www.icbc.com
순번국제시스템적중요은행(G-SIB) 목록홈페이지 주소
2021Royal Bank of Canadahttps://www.rbcroyalbank.com
2122Santanderhttps://www.santanderbank.com
2223Societe Generalehttps://particuliers.societegenerale.fr
2324Standard Charteredhttps://www.sc.com/en/
2425State Streethttps://www.statestreet.com/home.html
2526Sumitomo Mitsui FGhttps://www.smfg.co.jp/english/
2627Toronto Dominionhttps://www.td.com/ca/en
2728UBShttps://www.ubs.com
2829UniCredithttps://www.unicreditgroup.eu/en.html
2930Wells Fargohttps://www.wellsfargo.com