Overview

Dataset statistics

Number of variables6
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory51.8 B

Variable types

DateTime2
Text2
Categorical2

Dataset

Description예보제도 소개, 자산매각 정보, 금융 소비자 피해 예방 안내 등 공사 홍보영상에 대한 데이터로 예금보험공사 유튜브에 업로드한 영상목록 제공
Author예금보험공사
URLhttps://www.data.go.kr/data/15112573/fileData.do

Alerts

관련부서 is highly overall correlated with 활용 용도High correlation
활용 용도 is highly overall correlated with 관련부서High correlation
영상 제목 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:01:22.587292
Analysis finished2023-12-12 22:01:23.518326
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업로드 일자
Date

Distinct21
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2022-01-25 00:00:00
Maximum2022-12-27 00:00:00
2023-12-13T07:01:23.588728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:01:23.720849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

영상 제목
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T07:01:24.086553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length38
Mean length30.771429
Min length14

Characters and Unicode

Total characters1077
Distinct characters242
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row[예금보험연구논단] 비은행 금융중개의 발전에 따른 선제적 자금지원제도 도입 필요성
2nd rowWhat Drives Depositors to Run : The Role of Deposit Insurance
3rd rowA Scheme for Proactive Funding Support to Address Non-bank Financial intermediation Risks
4th row2022년도 예금보험 차등평가 안내
5th row착오송금 반환지원 신청 쉽게 따라하기
ValueCountFrequency (%)
상가 6
 
2.8%
2022년도 6
 
2.8%
of 5
 
2.3%
5
 
2.3%
vr영상 5
 
2.3%
예금보험연구논단 4
 
1.8%
the 4
 
1.8%
안심마당 3
 
1.4%
금융생활 3
 
1.4%
예금보험공사 3
 
1.4%
Other values (151) 173
79.7%
2023-12-13T07:01:24.694449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
 
17.0%
e 34
 
3.2%
t 24
 
2.2%
n 22
 
2.0%
o 21
 
1.9%
금 21
 
1.9%
i 20
 
1.9%
2 19
 
1.8%
s 19
 
1.8%
a 16
 
1.5%
Other values (232) 698
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 509
47.3%
Lowercase Letter 246
22.8%
Space Separator 183
 
17.0%
Uppercase Letter 64
 
5.9%
Decimal Number 29
 
2.7%
Close Punctuation 15
 
1.4%
Open Punctuation 15
 
1.4%
Other Punctuation 10
 
0.9%
Dash Punctuation 4
 
0.4%
Letter Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 21
 
4.1%
사 15
 
2.9%
원 15
 
2.9%
상 13
 
2.6%
보 13
 
2.6%
험 12
 
2.4%
예 12
 
2.4%
도 10
 
2.0%
가 9
 
1.8%
리 7
 
1.4%
Other values (175) 382
75.0%
Lowercase Letter
ValueCountFrequency (%)
e 34
13.8%
t 24
9.8%
n 22
 
8.9%
o 21
 
8.5%
i 20
 
8.1%
s 19
 
7.7%
a 16
 
6.5%
r 15
 
6.1%
f 10
 
4.1%
c 9
 
3.7%
Other values (12) 56
22.8%
Uppercase Letter
ValueCountFrequency (%)
R 11
17.2%
D 9
14.1%
V 7
10.9%
C 5
7.8%
F 5
7.8%
I 5
7.8%
S 4
 
6.2%
A 4
 
6.2%
T 3
 
4.7%
M 3
 
4.7%
Other values (6) 8
12.5%
Other Punctuation
ValueCountFrequency (%)
! 3
30.0%
? 2
20.0%
. 2
20.0%
& 1
 
10.0%
, 1
 
10.0%
: 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 19
65.5%
0 6
 
20.7%
6 2
 
6.9%
3 1
 
3.4%
1 1
 
3.4%
Close Punctuation
ValueCountFrequency (%)
) 9
60.0%
] 6
40.0%
Open Punctuation
ValueCountFrequency (%)
( 9
60.0%
[ 6
40.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Space Separator
ValueCountFrequency (%)
183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 509
47.3%
Latin 312
29.0%
Common 256
23.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 21
 
4.1%
사 15
 
2.9%
원 15
 
2.9%
상 13
 
2.6%
보 13
 
2.6%
험 12
 
2.4%
예 12
 
2.4%
도 10
 
2.0%
가 9
 
1.8%
리 7
 
1.4%
Other values (175) 382
75.0%
Latin
ValueCountFrequency (%)
e 34
 
10.9%
t 24
 
7.7%
n 22
 
7.1%
o 21
 
6.7%
i 20
 
6.4%
s 19
 
6.1%
a 16
 
5.1%
r 15
 
4.8%
R 11
 
3.5%
f 10
 
3.2%
Other values (30) 120
38.5%
Common
ValueCountFrequency (%)
183
71.5%
2 19
 
7.4%
) 9
 
3.5%
( 9
 
3.5%
0 6
 
2.3%
[ 6
 
2.3%
] 6
 
2.3%
- 4
 
1.6%
! 3
 
1.2%
6 2
 
0.8%
Other values (7) 9
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 566
52.6%
Hangul 509
47.3%
Number Forms 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
32.3%
e 34
 
6.0%
t 24
 
4.2%
n 22
 
3.9%
o 21
 
3.7%
i 20
 
3.5%
2 19
 
3.4%
s 19
 
3.4%
a 16
 
2.8%
r 15
 
2.7%
Other values (45) 193
34.1%
Hangul
ValueCountFrequency (%)
금 21
 
4.1%
사 15
 
2.9%
원 15
 
2.9%
상 13
 
2.6%
보 13
 
2.6%
험 12
 
2.4%
예 12
 
2.4%
도 10
 
2.0%
가 9
 
1.8%
리 7
 
1.4%
Other values (175) 382
75.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

영상 길이
Date

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2023-12-13 00:07:00
Maximum2023-12-13 13:19:00
2023-12-13T07:01:24.869552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:01:25.018432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

활용 용도
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
파산금융회사 담보부동산 매각 물건 소개
11 
금융안정 및 예금보험관련 연구
9 
신입직원 채용
3 
금융상품 및 금융소비자 보호 안내
3 
예금보험공사 CF
2 
Other values (6)
7 

Length

Max length21
Median length18
Mean length16.142857
Min length7

Unique

Unique5 ?
Unique (%)14.3%

Sample

1st row금융안정 및 예금보험관련 연구
2nd row금융안정 및 예금보험관련 연구
3rd row금융안정 및 예금보험관련 연구
4th row차등보험료율제도 소개
5th row착오송금 반환지원 신청 안내

Common Values

ValueCountFrequency (%)
파산금융회사 담보부동산 매각 물건 소개 11
31.4%
금융안정 및 예금보험관련 연구 9
25.7%
신입직원 채용 3
 
8.6%
금융상품 및 금융소비자 보호 안내 3
 
8.6%
예금보험공사 CF 2
 
5.7%
사회적경제기업 지원 사업 2
 
5.7%
차등보험료율제도 소개 1
 
2.9%
착오송금 반환지원 신청 안내 1
 
2.9%
예금보험제도 관련 1
 
2.9%
은닉재산 신고센터 소개 1
 
2.9%

Length

2023-12-13T07:01:25.165202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소개 13
 
9.5%
및 12
 
8.8%
파산금융회사 11
 
8.0%
매각 11
 
8.0%
물건 11
 
8.0%
담보부동산 11
 
8.0%
예금보험관련 9
 
6.6%
연구 9
 
6.6%
금융안정 9
 
6.6%
금융상품 4
 
2.9%
Other values (21) 37
27.0%

관련부서
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)34.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
예금보험연구센터
9 
회수기획부
6 
회수기획부, IT전략운영부
5 
인사지원부
3 
금융산업분석2부
3 
Other values (7)
9 

Length

Max length14
Median length9
Mean length7.6
Min length3

Unique

Unique5 ?
Unique (%)14.3%

Sample

1st row예금보험연구센터
2nd row예금보험연구센터
3rd row예금보험연구센터
4th row차등보험운영부
5th row착오송금반환지원부

Common Values

ValueCountFrequency (%)
예금보험연구센터 9
25.7%
회수기획부 6
17.1%
회수기획부, IT전략운영부 5
14.3%
인사지원부 3
 
8.6%
금융산업분석2부 3
 
8.6%
홍보실 2
 
5.7%
사회적가치경영부 2
 
5.7%
차등보험운영부 1
 
2.9%
착오송금반환지원부 1
 
2.9%
기획조정부 1
 
2.9%
Other values (2) 2
 
5.7%

Length

2023-12-13T07:01:25.287717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
회수기획부 11
27.5%
예금보험연구센터 9
22.5%
it전략운영부 5
12.5%
인사지원부 3
 
7.5%
금융산업분석2부 3
 
7.5%
홍보실 2
 
5.0%
사회적가치경영부 2
 
5.0%
차등보험운영부 1
 
2.5%
착오송금반환지원부 1
 
2.5%
기획조정부 1
 
2.5%
Other values (2) 2
 
5.0%

주소(URL)
Text

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-13T07:01:25.478831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length28
Mean length28
Min length28

Characters and Unicode

Total characters980
Distinct characters67
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)94.3%

Sample

1st rowhttps://youtu.be/EQKf8Su8UaY
2nd rowhttps://youtu.be/wBnS3st4_6w
3rd rowhttps://youtu.be/NUS97fE5Jbo
4th rowhttps://youtu.be/cpPaCCD7PS8
5th rowhttps://youtu.be/NBY_eoRr12c
ValueCountFrequency (%)
https://youtu.be/i49klfeb08o 2
 
5.7%
https://youtu.be/1ogvjzg_7iq 1
 
2.9%
https://youtu.be/5cw_oq4dnky 1
 
2.9%
https://youtu.be/77nuwksggsw 1
 
2.9%
https://youtu.be/tlrzf2reuhg 1
 
2.9%
https://youtu.be/rufc_b5bsrg 1
 
2.9%
https://youtu.be/4sdoyrvq-ru 1
 
2.9%
https://youtu.be/wbns3st4_6w 1
 
2.9%
https://youtu.be/byabvs06jdm 1
 
2.9%
https://youtu.be/bgdpyow11eu 1
 
2.9%
Other values (24) 24
68.6%
2023-12-13T07:01:25.855807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 110
 
11.2%
/ 105
 
10.7%
u 75
 
7.7%
o 45
 
4.6%
s 42
 
4.3%
e 40
 
4.1%
h 39
 
4.0%
y 39
 
4.0%
b 38
 
3.9%
p 38
 
3.9%
Other values (57) 409
41.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 558
56.9%
Other Punctuation 175
 
17.9%
Uppercase Letter 172
 
17.6%
Decimal Number 68
 
6.9%
Connector Punctuation 6
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 110
19.7%
u 75
13.4%
o 45
8.1%
s 42
 
7.5%
e 40
 
7.2%
h 39
 
7.0%
y 39
 
7.0%
b 38
 
6.8%
p 38
 
6.8%
g 10
 
1.8%
Other values (16) 82
14.7%
Uppercase Letter
ValueCountFrequency (%)
B 10
 
5.8%
U 10
 
5.8%
E 10
 
5.8%
D 10
 
5.8%
M 9
 
5.2%
S 9
 
5.2%
J 9
 
5.2%
Y 9
 
5.2%
N 8
 
4.7%
C 8
 
4.7%
Other values (16) 80
46.5%
Decimal Number
ValueCountFrequency (%)
7 11
16.2%
0 8
11.8%
4 8
11.8%
8 8
11.8%
5 7
10.3%
6 6
8.8%
1 6
8.8%
9 6
8.8%
2 5
7.4%
3 3
 
4.4%
Other Punctuation
ValueCountFrequency (%)
/ 105
60.0%
. 35
 
20.0%
: 35
 
20.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 730
74.5%
Common 250
 
25.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 110
15.1%
u 75
 
10.3%
o 45
 
6.2%
s 42
 
5.8%
e 40
 
5.5%
h 39
 
5.3%
y 39
 
5.3%
b 38
 
5.2%
p 38
 
5.2%
B 10
 
1.4%
Other values (42) 254
34.8%
Common
ValueCountFrequency (%)
/ 105
42.0%
. 35
 
14.0%
: 35
 
14.0%
7 11
 
4.4%
0 8
 
3.2%
4 8
 
3.2%
8 8
 
3.2%
5 7
 
2.8%
_ 6
 
2.4%
6 6
 
2.4%
Other values (5) 21
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 110
 
11.2%
/ 105
 
10.7%
u 75
 
7.7%
o 45
 
4.6%
s 42
 
4.3%
e 40
 
4.1%
h 39
 
4.0%
y 39
 
4.0%
b 38
 
3.9%
p 38
 
3.9%
Other values (57) 409
41.7%

Correlations

2023-12-13T07:01:25.958521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업로드 일자영상 제목영상 길이활용 용도관련부서주소(URL)
업로드 일자1.0001.0000.0000.9810.9840.824
영상 제목1.0001.0001.0001.0001.0001.000
영상 길이0.0001.0001.0001.0001.0000.993
활용 용도0.9811.0001.0001.0001.0001.000
관련부서0.9841.0001.0001.0001.0001.000
주소(URL)0.8241.0000.9931.0001.0001.000
2023-12-13T07:01:26.063946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관련부서활용 용도
관련부서1.0000.979
활용 용도0.9791.000
2023-12-13T07:01:26.175681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
활용 용도관련부서
활용 용도1.0000.979
관련부서0.9791.000

Missing values

2023-12-13T07:01:23.317128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:01:23.450043image/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

업로드 일자영상 제목영상 길이활용 용도관련부서주소(URL)
02022-01-25[예금보험연구논단] 비은행 금융중개의 발전에 따른 선제적 자금지원제도 도입 필요성9:18금융안정 및 예금보험관련 연구예금보험연구센터https://youtu.be/EQKf8Su8UaY
12022-01-27What Drives Depositors to Run : The Role of Deposit Insurance10:07금융안정 및 예금보험관련 연구예금보험연구센터https://youtu.be/wBnS3st4_6w
22022-03-21A Scheme for Proactive Funding Support to Address Non-bank Financial intermediation Risks9:18금융안정 및 예금보험관련 연구예금보험연구센터https://youtu.be/NUS97fE5Jbo
32022-03-222022년도 예금보험 차등평가 안내5:15차등보험료율제도 소개차등보험운영부https://youtu.be/cpPaCCD7PS8
42022-03-29착오송금 반환지원 신청 쉽게 따라하기9:04착오송금 반환지원 신청 안내착오송금반환지원부https://youtu.be/NBY_eoRr12c
52022-04-122022년도 예금보험자문위원회 전체회의를 개최하였습니다.2:27예금보험제도 관련기획조정부https://youtu.be/VYVZIpiheMc
62022-04-28예금보험공사 2022년도 상반기 신입직원(변호사, 보험계리사) 공개채용0:56신입직원 채용인사지원부https://youtu.be/JTXel5RgGQM
72022-05-24[예금보험연구논단] 채무조정제도의 효과 분석9:44금융안정 및 예금보험관련 연구예금보험연구센터https://youtu.be/youLAQaxtfA
82022-06-02양산 바나나 상가 VR영상3:39파산금융회사 담보부동산 매각 물건 소개회수기획부, IT전략운영부https://youtu.be/71BbrgHTCmc
92022-06-02남양주 리치플러스 상가 VR영상2:32파산금융회사 담보부동산 매각 물건 소개회수기획부, IT전략운영부https://youtu.be/BGDPYoW11EU
업로드 일자영상 제목영상 길이활용 용도관련부서주소(URL)
252022-09-15[예금보험연구논단] 예금보험공사의 금융시장 시스템리스크 측정모형 개발6:39금융안정 및 예금보험관련 연구예금보험연구센터https://youtu.be/HaNDJi8NIMk
262022-09-232022년도 예금보험공사 하반기 신입직원 채용 핵심 콕! 합격 딱!13:19신입직원 채용인사지원부https://youtu.be/1OGVJZg_7iQ
272022-09-28Development of Measurement Model for Systemic Risk in Financial Markets at the KDIC6:39금융안정 및 예금보험관련 연구예금보험연구센터https://youtu.be/i49klfeB08o
282022-10-012022년도 신규 공사 TV CF0:41예금보험공사 CF홍보실https://youtu.be/4SDoyrvQ-RU
292022-10-012022년도 신규 공사 TV CF(6초)0:07예금보험공사 CF홍보실https://youtu.be/rUFC_B5BsRg
302022-10-13예금보험공사 입사 준비하는 취준생이라면 여기로! (feat. 찐직원들 등판)9:47신입직원 채용인사지원부https://youtu.be/TlRzF2rEuhg
312022-11-17[예금보험연구논단] 예금보험제도 개요 및 역할7:26금융안정 및 예금보험관련 연구예금보험연구센터https://youtu.be/i49klfeB08o
322022-12-20Overview and Role of the Deposit Insurance System7:26금융안정 및 예금보험관련 연구예금보험연구센터https://youtu.be/77NUWKSggsw
332022-12-27[KDIC 희망나눔] 사회적경제기업 성장 지원 사업Ⅰ1:43사회적경제기업 지원 사업사회적가치경영부https://youtu.be/5cW_oq4dnkY
342022-12-27[KDIC 희망나눔] 사회적경제기업 성장 지원 사업Ⅱ5:21사회적경제기업 지원 사업사회적가치경영부https://youtu.be/fCEC7VNPQ3Y