Overview

Dataset statistics

Number of variables3
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory828.0 B
Average record size in memory28.6 B

Variable types

Categorical1
Text2

Dataset

Description한국조폐공사가 보유한 보안기술 관련 지식재산권 현황 중 저작권에 대한 데이터 구성항목 : 창작일자, 등록일자, 등록번호, 명칭
URLhttps://www.data.go.kr/data/15065742/fileData.do

Alerts

등록번호 has unique valuesUnique
명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:09:59.069737
Analysis finished2023-12-12 13:09:59.336288
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록일자
Categorical

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
2003-12-23
7 
2022-01-24
5 
2019-04-29
2 
2021-08-27
2 
2022-12-19
2 
Other values (9)
11 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique7 ?
Unique (%)24.1%

Sample

1st row2003-03-14
2nd row2003-12-23
3rd row2003-12-23
4th row2003-12-23
5th row2003-12-23

Common Values

ValueCountFrequency (%)
2003-12-23 7
24.1%
2022-01-24 5
17.2%
2019-04-29 2
 
6.9%
2021-08-27 2
 
6.9%
2022-12-19 2
 
6.9%
2022-12-13 2
 
6.9%
2022-12-20 2
 
6.9%
2003-03-14 1
 
3.4%
2004-01-02 1
 
3.4%
2019-10-30 1
 
3.4%
Other values (4) 4
13.8%

Length

2023-12-12T22:09:59.397732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2003-12-23 7
24.1%
2022-01-24 5
17.2%
2019-04-29 2
 
6.9%
2021-08-27 2
 
6.9%
2022-12-19 2
 
6.9%
2022-12-13 2
 
6.9%
2022-12-20 2
 
6.9%
2003-03-14 1
 
3.4%
2004-01-02 1
 
3.4%
2019-10-30 1
 
3.4%
Other values (4) 4
13.8%

등록번호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T22:09:59.591211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length13.344828
Min length13

Characters and Unicode

Total characters387
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowC-2003-000885
2nd rowC-2003-005715
3rd rowC-2003-005716
4th rowC-2003-005717
5th rowC-2003-005718
ValueCountFrequency (%)
c-2003-000885 1
 
3.4%
c-2021-033607 1
 
3.4%
c-2022-05438~40 1
 
3.4%
c-2022-054198 1
 
3.4%
c-2022-052775~78 1
 
3.4%
c-2022-052769~74 1
 
3.4%
c-2022-054197 1
 
3.4%
c-2022-025142 1
 
3.4%
c-2022-014471 1
 
3.4%
c-2022-006640 1
 
3.4%
Other values (19) 19
65.5%
2023-12-12T22:09:59.959507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 91
23.5%
2 69
17.8%
- 58
15.0%
C 29
 
7.5%
1 23
 
5.9%
3 21
 
5.4%
7 19
 
4.9%
5 18
 
4.7%
6 17
 
4.4%
4 16
 
4.1%
Other values (3) 26
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 296
76.5%
Dash Punctuation 58
 
15.0%
Uppercase Letter 29
 
7.5%
Math Symbol 4
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 91
30.7%
2 69
23.3%
1 23
 
7.8%
3 21
 
7.1%
7 19
 
6.4%
5 18
 
6.1%
6 17
 
5.7%
4 16
 
5.4%
8 12
 
4.1%
9 10
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 358
92.5%
Latin 29
 
7.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 91
25.4%
2 69
19.3%
- 58
16.2%
1 23
 
6.4%
3 21
 
5.9%
7 19
 
5.3%
5 18
 
5.0%
6 17
 
4.7%
4 16
 
4.5%
8 12
 
3.4%
Other values (2) 14
 
3.9%
Latin
ValueCountFrequency (%)
C 29
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 387
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 91
23.5%
2 69
17.8%
- 58
15.0%
C 29
 
7.5%
1 23
 
5.9%
3 21
 
5.4%
7 19
 
4.9%
5 18
 
4.7%
6 17
 
4.4%
4 16
 
4.1%
Other values (3) 26
 
6.7%

명칭
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T22:10:00.279936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length17
Mean length15.103448
Min length4

Characters and Unicode

Total characters438
Distinct characters132
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row디자인제품집
2nd row유사채권
3rd row상품권 적용 디자인 패턴
4th row카드 적용 패턴
5th row각종 자격증 윤곽
ValueCountFrequency (%)
디자인 6
 
5.5%
메달 5
 
4.5%
영상 4
 
3.6%
적용 4
 
3.6%
패턴 4
 
3.6%
공사 4
 
3.6%
불리온 4
 
3.6%
소개 3
 
2.7%
창립 3
 
2.7%
70주년 3
 
2.7%
Other values (62) 70
63.6%
2023-12-12T22:10:00.746637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
18.5%
2 12
 
2.7%
자 11
 
2.5%
인 10
 
2.3%
0 10
 
2.3%
스 9
 
2.1%
년 9
 
2.1%
리 8
 
1.8%
상 7
 
1.6%
용 7
 
1.6%
Other values (122) 274
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 305
69.6%
Space Separator 81
 
18.5%
Decimal Number 28
 
6.4%
Uppercase Letter 7
 
1.6%
Open Punctuation 5
 
1.1%
Close Punctuation 5
 
1.1%
Other Punctuation 5
 
1.1%
Connector Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 11
 
3.6%
인 10
 
3.3%
스 9
 
3.0%
년 9
 
3.0%
리 8
 
2.6%
상 7
 
2.3%
용 7
 
2.3%
디 7
 
2.3%
사 7
 
2.3%
기 6
 
2.0%
Other values (106) 224
73.4%
Uppercase Letter
ValueCountFrequency (%)
T 2
28.6%
M 1
14.3%
B 1
14.3%
I 1
14.3%
N 1
14.3%
F 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 12
42.9%
0 10
35.7%
7 4
 
14.3%
3 1
 
3.6%
1 1
 
3.6%
Space Separator
ValueCountFrequency (%)
81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 305
69.6%
Common 126
28.8%
Latin 7
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 11
 
3.6%
인 10
 
3.3%
스 9
 
3.0%
년 9
 
3.0%
리 8
 
2.6%
상 7
 
2.3%
용 7
 
2.3%
디 7
 
2.3%
사 7
 
2.3%
기 6
 
2.0%
Other values (106) 224
73.4%
Common
ValueCountFrequency (%)
81
64.3%
2 12
 
9.5%
0 10
 
7.9%
( 5
 
4.0%
) 5
 
4.0%
, 5
 
4.0%
7 4
 
3.2%
_ 2
 
1.6%
3 1
 
0.8%
1 1
 
0.8%
Latin
ValueCountFrequency (%)
T 2
28.6%
M 1
14.3%
B 1
14.3%
I 1
14.3%
N 1
14.3%
F 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 305
69.6%
ASCII 133
30.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
60.9%
2 12
 
9.0%
0 10
 
7.5%
( 5
 
3.8%
) 5
 
3.8%
, 5
 
3.8%
7 4
 
3.0%
T 2
 
1.5%
_ 2
 
1.5%
3 1
 
0.8%
Other values (6) 6
 
4.5%
Hangul
ValueCountFrequency (%)
자 11
 
3.6%
인 10
 
3.3%
스 9
 
3.0%
년 9
 
3.0%
리 8
 
2.6%
상 7
 
2.3%
용 7
 
2.3%
디 7
 
2.3%
사 7
 
2.3%
기 6
 
2.0%
Other values (106) 224
73.4%

Correlations

2023-12-12T22:10:00.859587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록일자등록번호명칭
등록일자1.0001.0001.000
등록번호1.0001.0001.000
명칭1.0001.0001.000

Missing values

2023-12-12T22:09:59.230585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:09:59.302488image/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

등록일자등록번호명칭
02003-03-14C-2003-000885디자인제품집
12003-12-23C-2003-005715유사채권
22003-12-23C-2003-005716상품권 적용 디자인 패턴
32003-12-23C-2003-005717카드 적용 패턴
42003-12-23C-2003-005718각종 자격증 윤곽
52003-12-23C-2003-005719상품권 적용 패턴
62003-12-23C-2003-005720각종 엽서류
72003-12-23C-2003-005721카드 적용 디자인 패턴
82004-01-02C-2004-000002청소년증
92019-04-29C-2019-012397지신 불리온 메달 스토리(갈루스, 카니스, 스크로파)_국문
등록일자등록번호명칭
192022-01-24C-2022-006639특수 압인 기술 소개 영상
202022-01-24C-2022-006640공사 창립 70주년 기념 한국의 화폐 소개 영상
212022-03-24C-2022-0144712021 해외 조폐기관 동향 조사 보고서
222022-06-22C-2022-0251422022년 기술이전 목록집
232022-12-19C-2022-054197공사 보안인쇄 홍보용 리플릿
242022-12-13C-2022-052769~74MBTI 카드형 골드바 디자인
252022-12-13C-2022-052775~78NFT 교환권 디자인
262022-12-19C-2022-054198퇴직자 노하우 전수
272022-12-20C-2022-05438~402023년 계모년 메달 디자인
282022-12-20C-2022-05481~832022년 불리온 메달 디자인