Overview

Dataset statistics

Number of variables6
Number of observations143
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory48.9 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description(예금보험공사_해외 주요 금융기구 연구분석자료 정보)1. 데이터 개요 : 예금보험기구 등 해외 주요 금융기구에서 발간하는 연구분석자료 관련 정보2. 데이터 단위 : 해외연구분석자료(건), 예금보험공사 연구자료(건)* 세부항목 : 발간기구명, 해외연구분석자료명, 발간년월, 원문 홈페이지 링크, 예금보험공사 연구자료명, 예금보험공사 연구자료 링크3. 해외연구분석자료- IADI 회원으로 가입된 해외 예금보험기구의 주요 연구자료- 주요국 금융안정기구(중앙은행, 감독기구 등)- 국제 금융 관련 기구(IMF, BIS, FBS 등)- 그 외 예금보험제도 운영에 참고할 수 있는 주요기관의 연구자료 등4. 예금보험공사 연구자료- 해외연구분석자료를 바탕으로 공사에서 작성한 보고서(글로벌 예금보험 브리핑 등)
Author예금보험공사
URLhttps://www.data.go.kr/data/15090087/fileData.do

Reproduction

Analysis started2024-03-14 11:24:13.837425
Analysis finished2024-03-14 11:24:15.059471
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발간기구명
Categorical

Distinct48
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
BIS
22 
FRB
12 
IADI
11 
FSB
 
8
FDIC
 
8
Other values (43)
82 

Length

Max length38
Median length3
Mean length5.4335664
Min length2

Unique

Unique26 ?
Unique (%)18.2%

Sample

1st rowPRA
2nd rowFDIC
3rd rowFRB, FDIC, OCC
4th rowFRB, FDIC, OCC
5th rowFRB, FDIC, OCC

Common Values

ValueCountFrequency (%)
BIS 22
 
15.4%
FRB 12
 
8.4%
IADI 11
 
7.7%
FSB 8
 
5.6%
FDIC 8
 
5.6%
IMF 6
 
4.2%
FCA 5
 
3.5%
ECB 5
 
3.5%
ESRB 4
 
2.8%
CEPR 3
 
2.1%
Other values (38) 59
41.3%

Length

2024-03-14T20:24:15.307979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
bis 22
 
12.0%
frb 15
 
8.2%
iadi 11
 
6.0%
fdic 11
 
6.0%
fsb 8
 
4.4%
of 8
 
4.4%
imf 6
 
3.3%
occ 6
 
3.3%
bank 6
 
3.3%
fca 5
 
2.7%
Other values (52) 85
46.4%

해외연구분석자료
Text

Distinct138
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T20:24:16.482355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length216
Median length92
Mean length69.265734
Min length21

Characters and Unicode

Total characters9905
Distinct characters73
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)94.4%

Sample

1st rowDepositor protection: Idnetity verification
2nd rowFDIC-Insured Institutions Reported Net Income of $59.9 Billion In Fourth Quarter 2020
3rd rowShared National Credit Program(1st and 3rd Quarter 2020 Reviews)
4th rowShared National Credit Program(1st and 3rd Quarter 2020 Reviews)
5th rowShared National Credit Program(1st and 3rd Quarter 2020 Reviews)
ValueCountFrequency (%)
of 74
 
5.1%
the 71
 
4.9%
and 67
 
4.7%
financial 32
 
2.2%
in 31
 
2.2%
on 28
 
1.9%
to 24
 
1.7%
for 23
 
1.6%
21
 
1.5%
deposit 21
 
1.5%
Other values (566) 1048
72.8%
2024-03-14T20:24:17.978494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1299
13.1%
e 869
 
8.8%
n 780
 
7.9%
i 708
 
7.1%
a 624
 
6.3%
t 597
 
6.0%
o 589
 
5.9%
s 589
 
5.9%
r 499
 
5.0%
l 292
 
2.9%
Other values (63) 3059
30.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7571
76.4%
Space Separator 1299
 
13.1%
Uppercase Letter 756
 
7.6%
Decimal Number 106
 
1.1%
Other Punctuation 85
 
0.9%
Dash Punctuation 47
 
0.5%
Close Punctuation 16
 
0.2%
Open Punctuation 16
 
0.2%
Final Punctuation 5
 
0.1%
Initial Punctuation 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 869
11.5%
n 780
10.3%
i 708
9.4%
a 624
 
8.2%
t 597
 
7.9%
o 589
 
7.8%
s 589
 
7.8%
r 499
 
6.6%
l 292
 
3.9%
c 287
 
3.8%
Other values (15) 1737
22.9%
Uppercase Letter
ValueCountFrequency (%)
R 72
 
9.5%
S 70
 
9.3%
C 69
 
9.1%
I 62
 
8.2%
B 58
 
7.7%
F 57
 
7.5%
D 56
 
7.4%
P 49
 
6.5%
E 42
 
5.6%
A 37
 
4.9%
Other values (13) 184
24.3%
Decimal Number
ValueCountFrequency (%)
2 44
41.5%
0 24
22.6%
1 18
17.0%
3 9
 
8.5%
9 7
 
6.6%
8 2
 
1.9%
5 1
 
0.9%
6 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
: 35
41.2%
, 20
23.5%
? 20
23.5%
. 5
 
5.9%
/ 4
 
4.7%
' 1
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 12
75.0%
」 4
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 12
75.0%
「 4
 
25.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
“ 1
50.0%
Space Separator
ValueCountFrequency (%)
1299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 5
100.0%
Modifier Letter
ValueCountFrequency (%)
ː 1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8327
84.1%
Common 1578
 
15.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 869
 
10.4%
n 780
 
9.4%
i 708
 
8.5%
a 624
 
7.5%
t 597
 
7.2%
o 589
 
7.1%
s 589
 
7.1%
r 499
 
6.0%
l 292
 
3.5%
c 287
 
3.4%
Other values (38) 2493
29.9%
Common
ValueCountFrequency (%)
1299
82.3%
- 47
 
3.0%
2 44
 
2.8%
: 35
 
2.2%
0 24
 
1.5%
, 20
 
1.3%
? 20
 
1.3%
1 18
 
1.1%
) 12
 
0.8%
( 12
 
0.8%
Other values (15) 47
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9889
99.8%
None 8
 
0.1%
Punctuation 7
 
0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1299
13.1%
e 869
 
8.8%
n 780
 
7.9%
i 708
 
7.2%
a 624
 
6.3%
t 597
 
6.0%
o 589
 
6.0%
s 589
 
6.0%
r 499
 
5.0%
l 292
 
3.0%
Other values (57) 3043
30.8%
Punctuation
ValueCountFrequency (%)
’ 5
71.4%
‘ 1
 
14.3%
“ 1
 
14.3%
None
ValueCountFrequency (%)
「 4
50.0%
」 4
50.0%
Modifier Letters
ValueCountFrequency (%)
ː 1
100.0%

발간연월
Date

Distinct33
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2021-02-01 00:00:00
Maximum2023-11-01 00:00:00
2024-03-14T20:24:18.373389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:24:18.756733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

원문 홈페이지 링크
Text

Distinct51
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T20:24:19.642751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length104
Median length35
Mean length23.881119
Min length16

Characters and Unicode

Total characters3415
Distinct characters27
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

Unique27 ?
Unique (%)18.9%

Sample

1st rowhttps://www.bankofengland.co.uk
2nd rowhttps://www.fdic.gov
3rd rowhttps://www.federalreserve.gov
4th rowhttps://www.fdic.gov
5th rowhttps://www.occ.gov
ValueCountFrequency (%)
https://www.bis.org 22
 
15.4%
https://www.federalreserve.gov 11
 
7.7%
https://www.fdic.gov 9
 
6.3%
https://www.fsb.org 8
 
5.6%
https://www.iadi.org/en 8
 
5.6%
https://www.imf.org 6
 
4.2%
https://www.bankofengland.co.uk 5
 
3.5%
https://www.ecb.europa.eu 5
 
3.5%
https://www.fca.org.uk 5
 
3.5%
https://www.esrb.europa.eu 4
 
2.8%
Other values (40) 60
42.0%
2024-03-14T20:24:20.938546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 404
11.8%
. 319
 
9.3%
t 306
 
9.0%
/ 305
 
8.9%
s 231
 
6.8%
e 179
 
5.2%
p 174
 
5.1%
o 171
 
5.0%
h 160
 
4.7%
r 158
 
4.6%
Other values (17) 1008
29.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2640
77.3%
Other Punctuation 767
 
22.5%
Dash Punctuation 8
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 404
15.3%
t 306
11.6%
s 231
 
8.8%
e 179
 
6.8%
p 174
 
6.6%
o 171
 
6.5%
h 160
 
6.1%
r 158
 
6.0%
g 115
 
4.4%
a 109
 
4.1%
Other values (13) 633
24.0%
Other Punctuation
ValueCountFrequency (%)
. 319
41.6%
/ 305
39.8%
: 143
18.6%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2640
77.3%
Common 775
 
22.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 404
15.3%
t 306
11.6%
s 231
 
8.8%
e 179
 
6.8%
p 174
 
6.6%
o 171
 
6.5%
h 160
 
6.1%
r 158
 
6.0%
g 115
 
4.4%
a 109
 
4.1%
Other values (13) 633
24.0%
Common
ValueCountFrequency (%)
. 319
41.2%
/ 305
39.4%
: 143
18.5%
- 8
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3415
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 404
11.8%
. 319
 
9.3%
t 306
 
9.0%
/ 305
 
8.9%
s 231
 
6.8%
e 179
 
5.2%
p 174
 
5.1%
o 171
 
5.0%
h 160
 
4.7%
r 158
 
4.6%
Other values (17) 1008
29.5%

예금보험공사 연구자료
Text

Distinct136
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T20:24:22.072071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length40
Mean length32.090909
Min length12

Characters and Unicode

Total characters4589
Distinct characters360
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)91.6%

Sample

1st row英 PRA, 예금보험금 지급시 예금자 신원확인 규정 개정
2nd row美 FDIC, 2020년 4/4분기 부보금융회사 경영실적 발표
3rd row美 FRB·FDIC·OCC, ‘20년도 “Shared National Credit Review” 발표
4th row美 FRB·FDIC·OCC, ‘20년도 “Shared National Credit Review” 발표
5th row美 FRB·FDIC·OCC, ‘20년도 “Shared National Credit Review” 발표
ValueCountFrequency (%)
발표 31
 
2.9%
및 22
 
2.1%
美 20
 
1.9%
대한 20
 
1.9%
bis 19
 
1.8%
관련 14
 
1.3%
위한 14
 
1.3%
은행 14
 
1.3%
영향 11
 
1.0%
분석 11
 
1.0%
Other values (573) 888
83.5%
2024-03-14T20:24:23.533898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
923
 
20.1%
, 117
 
2.5%
금 75
 
1.6%
의 75
 
1.6%
I 65
 
1.4%
제 62
 
1.4%
B 61
 
1.3%
C 60
 
1.3%
행 57
 
1.2%
은 55
 
1.2%
Other values (350) 3039
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2812
61.3%
Space Separator 923
 
20.1%
Uppercase Letter 449
 
9.8%
Lowercase Letter 141
 
3.1%
Other Punctuation 139
 
3.0%
Decimal Number 60
 
1.3%
Close Punctuation 21
 
0.5%
Open Punctuation 21
 
0.5%
Initial Punctuation 9
 
0.2%
Dash Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 75
 
2.7%
의 75
 
2.7%
제 62
 
2.2%
행 57
 
2.0%
은 55
 
2.0%
보 53
 
1.9%
한 50
 
1.8%
스 48
 
1.7%
대 47
 
1.7%
위 47
 
1.7%
Other values (286) 2243
79.8%
Uppercase Letter
ValueCountFrequency (%)
I 65
14.5%
B 61
13.6%
C 60
13.4%
F 49
10.9%
S 45
10.0%
D 32
7.1%
E 27
6.0%
R 22
 
4.9%
A 20
 
4.5%
M 12
 
2.7%
Other values (11) 56
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 24
17.0%
i 17
12.1%
a 14
9.9%
t 12
8.5%
r 10
 
7.1%
d 9
 
6.4%
n 8
 
5.7%
s 7
 
5.0%
h 7
 
5.0%
c 6
 
4.3%
Other values (10) 27
19.1%
Decimal Number
ValueCountFrequency (%)
1 15
25.0%
2 14
23.3%
9 12
20.0%
0 10
16.7%
8 3
 
5.0%
3 3
 
5.0%
4 2
 
3.3%
6 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 117
84.2%
· 12
 
8.6%
: 5
 
3.6%
' 4
 
2.9%
/ 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 19
90.5%
」 2
 
9.5%
Open Punctuation
ValueCountFrequency (%)
( 19
90.5%
「 2
 
9.5%
Initial Punctuation
ValueCountFrequency (%)
‘ 6
66.7%
“ 3
33.3%
Final Punctuation
ValueCountFrequency (%)
’ 4
57.1%
” 3
42.9%
Space Separator
ValueCountFrequency (%)
923
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2782
60.6%
Common 1187
25.9%
Latin 590
 
12.9%
Han 30
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 75
 
2.7%
의 75
 
2.7%
제 62
 
2.2%
행 57
 
2.0%
은 55
 
2.0%
보 53
 
1.9%
한 50
 
1.8%
스 48
 
1.7%
대 47
 
1.7%
위 47
 
1.7%
Other values (282) 2213
79.5%
Latin
ValueCountFrequency (%)
I 65
 
11.0%
B 61
 
10.3%
C 60
 
10.2%
F 49
 
8.3%
S 45
 
7.6%
D 32
 
5.4%
E 27
 
4.6%
e 24
 
4.1%
R 22
 
3.7%
A 20
 
3.4%
Other values (31) 185
31.4%
Common
ValueCountFrequency (%)
923
77.8%
, 117
 
9.9%
) 19
 
1.6%
( 19
 
1.6%
1 15
 
1.3%
2 14
 
1.2%
9 12
 
1.0%
· 12
 
1.0%
0 10
 
0.8%
- 7
 
0.6%
Other values (13) 39
 
3.3%
Han
ValueCountFrequency (%)
美 23
76.7%
英 5
 
16.7%
發 1
 
3.3%
高 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2782
60.6%
ASCII 1745
38.0%
CJK 30
 
0.7%
None 16
 
0.3%
Punctuation 16
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
923
52.9%
, 117
 
6.7%
I 65
 
3.7%
B 61
 
3.5%
C 60
 
3.4%
F 49
 
2.8%
S 45
 
2.6%
D 32
 
1.8%
E 27
 
1.5%
e 24
 
1.4%
Other values (47) 342
 
19.6%
Hangul
ValueCountFrequency (%)
금 75
 
2.7%
의 75
 
2.7%
제 62
 
2.2%
행 57
 
2.0%
은 55
 
2.0%
보 53
 
1.9%
한 50
 
1.8%
스 48
 
1.7%
대 47
 
1.7%
위 47
 
1.7%
Other values (282) 2213
79.5%
CJK
ValueCountFrequency (%)
美 23
76.7%
英 5
 
16.7%
發 1
 
3.3%
高 1
 
3.3%
None
ValueCountFrequency (%)
· 12
75.0%
「 2
 
12.5%
」 2
 
12.5%
Punctuation
ValueCountFrequency (%)
‘ 6
37.5%
’ 4
25.0%
“ 3
18.8%
” 3
18.8%

예금보험공사 연구자료 링크
Text

Distinct135
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T20:24:24.300704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length123
Median length108
Mean length115.34266
Min length108

Characters and Unicode

Total characters16494
Distinct characters41
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

Unique129 ?
Unique (%)90.2%

Sample

1st rowhttps://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2967&parentSeq=2776&sRNmTem=tka2&sRCdTem=1030204000000
2nd rowhttps://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2968&parentSeq=2777&sRNmTem=tka2&sRCdTem=1030204000000
3rd rowhttps://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2969&parentSeq=2778&sRNmTem=tka2&sRCdTem=1030204000000
4th rowhttps://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2969&parentSeq=2778&sRNmTem=tka2&sRCdTem=1030204000000
5th rowhttps://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2969&parentSeq=2778&sRNmTem=tka2&sRCdTem=1030204000000
ValueCountFrequency (%)
https://www.kdic.or.kr/krai/site/kdic/ex/bbs/view.do?cbidx=980&bcidx=2969&parentseq=2778&srnmtem=tka2&srcdtem=1030204000000 3
 
2.1%
https://www.kdic.or.kr/krai/site/kdic/ex/bbs/view.do?cbidx=980&bcidx=3286&parentseq=3286&srnmtem=tka2&srcdtem=1030204000000 3
 
2.1%
https://www.kdic.or.kr/krai/site/kdic/ex/bbs/view.do?cbidx=980&bcidx=3307&parentseq=3307&srnmtem=tka2&srcdtem=1030204000000 2
 
1.4%
https://www.kdic.or.kr/krai/site/kdic/ex/bbs/view.do?cbidx=980&bcidx=3383&parentseq=3383&srnmtem=tka2&srcdtem=1030204000000 2
 
1.4%
https://www.kdic.or.kr/krai/site/kdic/ex/bbs/view.do?cbidx=980&bcidx=2983&srnmtem=tka2&srcdtem=1030204000000 2
 
1.4%
https://www.kdic.or.kr/krai/site/kdic/ex/bbs/view.do?cbidx=980&bcidx=3303&parentseq=3303&srnmtem=tka2&srcdtem=1030204000000 2
 
1.4%
https://www.kdic.or.kr/krai/site/kdic/ex/bbs/view.do?cbidx=980&bcidx=3277&parentseq=3277&srnmtem=tka2&srcdtem=1030204000000 1
 
0.7%
https://www.kdic.or.kr/krai/site/kdic/ex/bbs/view.do?cbidx=980&bcidx=2967&parentseq=2776&srnmtem=tka2&srcdtem=1030204000000 1
 
0.7%
https://www.kdic.or.kr/krai/site/kdic/ex/bbs/view.do?cbidx=980&bcidx=3234&parentseq=3234&srnmtem=tka2&srcdtem=1030204000000 1
 
0.7%
https://www.kdic.or.kr/krai/site/kdic/ex/bbs/view.do?cbidx=980&bcidx=3304&parentseq=3304&srnmtem=tka2&srcdtem=1030204000000 1
 
0.7%
Other values (125) 125
87.4%
2024-03-14T20:24:25.290336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1507
 
9.1%
/ 1144
 
6.9%
d 858
 
5.2%
e 855
 
5.2%
k 715
 
4.3%
s 715
 
4.3%
i 715
 
4.3%
t 642
 
3.9%
= 642
 
3.9%
. 572
 
3.5%
Other values (31) 8129
49.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8711
52.8%
Decimal Number 3283
 
19.9%
Other Punctuation 2501
 
15.2%
Uppercase Letter 1357
 
8.2%
Math Symbol 642
 
3.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
d 858
9.8%
e 855
9.8%
k 715
 
8.2%
s 715
 
8.2%
i 715
 
8.2%
t 642
 
7.4%
w 572
 
6.6%
b 572
 
6.6%
c 572
 
6.6%
r 499
 
5.7%
Other values (8) 1996
22.9%
Decimal Number
ValueCountFrequency (%)
0 1507
45.9%
3 434
 
13.2%
1 352
 
10.7%
2 304
 
9.3%
8 219
 
6.7%
9 213
 
6.5%
4 133
 
4.1%
7 49
 
1.5%
6 39
 
1.2%
5 33
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
T 286
21.1%
I 286
21.1%
R 286
21.1%
C 143
10.5%
N 143
10.5%
V 143
10.5%
S 70
 
5.2%
Other Punctuation
ValueCountFrequency (%)
/ 1144
45.7%
. 572
22.9%
& 499
20.0%
? 143
 
5.7%
: 143
 
5.7%
Math Symbol
ValueCountFrequency (%)
= 642
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10068
61.0%
Common 6426
39.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
d 858
 
8.5%
e 855
 
8.5%
k 715
 
7.1%
s 715
 
7.1%
i 715
 
7.1%
t 642
 
6.4%
w 572
 
5.7%
b 572
 
5.7%
c 572
 
5.7%
r 499
 
5.0%
Other values (15) 3353
33.3%
Common
ValueCountFrequency (%)
0 1507
23.5%
/ 1144
17.8%
= 642
10.0%
. 572
 
8.9%
& 499
 
7.8%
3 434
 
6.8%
1 352
 
5.5%
2 304
 
4.7%
8 219
 
3.4%
9 213
 
3.3%
Other values (6) 540
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16494
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1507
 
9.1%
/ 1144
 
6.9%
d 858
 
5.2%
e 855
 
5.2%
k 715
 
4.3%
s 715
 
4.3%
i 715
 
4.3%
t 642
 
3.9%
= 642
 
3.9%
. 572
 
3.5%
Other values (31) 8129
49.3%

Correlations

2024-03-14T20:24:25.427496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발간기구명발간연월원문 홈페이지 링크
발간기구명1.0000.7810.999
발간연월0.7811.0000.758
원문 홈페이지 링크0.9990.7581.000

Missing values

2024-03-14T20:24:14.562393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:24:14.914721image/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

발간기구명해외연구분석자료발간연월원문 홈페이지 링크예금보험공사 연구자료예금보험공사 연구자료 링크
0PRADepositor protection: Idnetity verification2021-02https://www.bankofengland.co.uk英 PRA, 예금보험금 지급시 예금자 신원확인 규정 개정https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2967&parentSeq=2776&sRNmTem=tka2&sRCdTem=1030204000000
1FDICFDIC-Insured Institutions Reported Net Income of $59.9 Billion In Fourth Quarter 20202021-02https://www.fdic.gov美 FDIC, 2020년 4/4분기 부보금융회사 경영실적 발표https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2968&parentSeq=2777&sRNmTem=tka2&sRCdTem=1030204000000
2FRB, FDIC, OCCShared National Credit Program(1st and 3rd Quarter 2020 Reviews)2021-02https://www.federalreserve.gov美 FRB·FDIC·OCC, ‘20년도 “Shared National Credit Review” 발표https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2969&parentSeq=2778&sRNmTem=tka2&sRCdTem=1030204000000
3FRB, FDIC, OCCShared National Credit Program(1st and 3rd Quarter 2020 Reviews)2021-02https://www.fdic.gov美 FRB·FDIC·OCC, ‘20년도 “Shared National Credit Review” 발표https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2969&parentSeq=2778&sRNmTem=tka2&sRCdTem=1030204000000
4FRB, FDIC, OCCShared National Credit Program(1st and 3rd Quarter 2020 Reviews)2021-02https://www.occ.gov美 FRB·FDIC·OCC, ‘20년도 “Shared National Credit Review” 발표https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2969&parentSeq=2778&sRNmTem=tka2&sRCdTem=1030204000000
5FRB2021 Stress Test Scenarios2021-02https://www.federalreserve.gov美 FRB, ’21년 스트레스 테스트에 대한 가상의 시나리오 발표https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2970&parentSeq=2779&sRNmTem=tka2&sRCdTem=1030204000000
6BISCovid-19 bank dividend payout restrictions: effects and trade-offs2021-03https://www.bis.orgBIS, COVID-19 충격 이후 은행 배당제한 조치의 효과 분석https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2964&parentSeq=2773&sRNmTem=tka2&sRCdTem=1030204000000
7BISLiquidity management and asset sales by bond funds in the face of investor redemptions in March 20202021-03https://www.bis.orgBIS, 펀드런 발생 시 뮤추얼펀드의 유동성 관리에 따른 금융시장 변동성 확대 가능성https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2839&sRNmTem=tka2&sRCdTem=1030204000000
8FRBFederal Reserve Board announces that the temporary change to its supplementary leverage ratio(SLR) for bank holding companies will expire as scheduled on March 312021-03https://www.federalreserve.gov美 Fed, SLR(보완전 레버리지 비율) 규제 완화 종료 발표https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2840&sRNmTem=tka2&sRCdTem=1030204000000
9FSBFSB publishes final report of the evaluation of too-big-to-fail reforms for banks2021-03https://www.fsb.orgFSB, G20의 '대마불사(TBTF)' 방지를 위한 개혁의 성과는 긍정적https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=2841&sRNmTem=tka2&sRCdTem=1030204000000
발간기구명해외연구분석자료발간연월원문 홈페이지 링크예금보험공사 연구자료예금보험공사 연구자료 링크
133Federal Reserve Bank of New YorkRuns and Flights to Safety: Are Stablecoins the New Money Market Fund?2023-09https://www.newyorkfed.org뉴욕 연은, MMF와 스테이블코인의 런 유사성 분석https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=3373&parentSeq=3373&sRNmTem=tka2&sRCdTem=1030204000000
134MASConsultation Paper on New Notice for Recovery and Resolution Planning for Insurers and Proposed Enhancement of Resolution Powers for the Insurance Sector2023-10https://www.mas.gov.sg싱가포르 통화청 보험업권에 대한 시행안 발표https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=3382&parentSeq=3382&sRNmTem=tka2&sRCdTem=1030204000000
135IADIGlobal trends in deposit insurance coverage ratios2023-10https://www.iadi.org예금보호한도 관련 주요국 현황 분석https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=3380&parentSeq=3380&sRNmTem=tka2&sRCdTem=1030204000000
136FSB2023 Bank Failures : Preliminary lessons learnt for resolution2023-10https://www.fsb.orgFSB, 2023 은행 실패 사례에서 얻은 교훈https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=3381&parentSeq=3381&sRNmTem=tka2&sRCdTem=1030204000000
137Federal Reserve Bank of DallasDeposit Convexity, Monetary Policy, and Financial Stability2023-10https://www.dallasfed.org달라스 연은, 예금금리 변동이 통화정책 및 금융안정에 미치는 영향 분석https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=3383&parentSeq=3383&sRNmTem=tka2&sRCdTem=1030204000000
138IADIReimbursing Depositors Now and in the Future2023-10https://www.iadi.org예금보험금 지급의 현황과 과제https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=3383&parentSeq=3383&sRNmTem=tka2&sRCdTem=1030204000000
139PRADiscussion Paper 2/23 ? FSCS general Insurance limit2023-11https://www.bankofengland.co.uk영국, 손해보험에 대한 보호한도 상향 검토https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=3388&parentSeq=3388&sRNmTem=tka2&sRCdTem=1030204000000
140BISWill the real stablecoin please stand up?2023-11https://www.bis.orgBIS, 스테이블코인의 ‘가치 안정성’에 대한 분석 및 평가https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=3390&parentSeq=3390&sRNmTem=tka2&sRCdTem=1030204000000
141Deutsche BundesbankEffects of bank capital requirements on lending by banks and non-bank financial institutions2023-11https://www.bundesbank.de은행 자본 규제 강화가 비은행 대출에 미치는 영향https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=3392&parentSeq=3392&sRNmTem=tka2&sRCdTem=1030204000000
142FRB“Retail Central Bank Digital Currencies : Implications for Banking and Financial Stability2023-11https://www.frb.org美 연준, 범용 CBDC가 은행 및 금융안정에 미치는 영향 분석https://www.kdic.or.kr/krai/site/kdic/ex/bbs/View.do?cbIdx=980&bcIdx=3396&parentSeq=3396&sRNmTem=tka2&sRCdTem=1030204000000