Overview

Dataset statistics

Number of variables5
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory43.5 B

Variable types

Text2
Categorical2
DateTime1

Dataset

Description경기도 고양시_지적재산권 현황에 대한 데이터로 지적재산권 자산명, 용도별분류, 등록일자, 등록번호, 취득부서 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/3078704/fileData.do

Alerts

취득부서 has constant value ""Constant
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:35:57.571430
Analysis finished2023-12-12 15:35:58.057298
Duration0.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자산명
Text

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T00:35:58.242943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length6.9473684
Min length3

Characters and Unicode

Total characters264
Distinct characters117
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)89.5%

Sample

1st row개발용기(화분) 디자인 등록
2nd row고양1호
3rd row개발용기 상표출원 및 디자인
4th row개발용기 상표출원 및 디자인
5th row분화류 고부가가치 상품개발
ValueCountFrequency (%)
디자인 3
 
4.8%
소형분화 2
 
3.2%
산소 2
 
3.2%
가공 2
 
3.2%
유통트레이 2
 
3.2%
및 2
 
3.2%
상표출원 2
 
3.2%
개발용기 2
 
3.2%
브랜드 2
 
3.2%
콘텐시아 1
 
1.6%
Other values (43) 43
68.3%
2023-12-13T00:35:58.668476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
9.5%
아 8
 
3.0%
이 8
 
3.0%
디 8
 
3.0%
화 7
 
2.7%
레 6
 
2.3%
퍼 5
 
1.9%
스 5
 
1.9%
용 5
 
1.9%
드 5
 
1.9%
Other values (107) 182
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 232
87.9%
Space Separator 25
 
9.5%
Open Punctuation 3
 
1.1%
Close Punctuation 3
 
1.1%
Decimal Number 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 8
 
3.4%
이 8
 
3.4%
디 8
 
3.4%
화 7
 
3.0%
레 6
 
2.6%
퍼 5
 
2.2%
스 5
 
2.2%
용 5
 
2.2%
드 5
 
2.2%
리 5
 
2.2%
Other values (103) 170
73.3%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 232
87.9%
Common 32
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 8
 
3.4%
이 8
 
3.4%
디 8
 
3.4%
화 7
 
3.0%
레 6
 
2.6%
퍼 5
 
2.2%
스 5
 
2.2%
용 5
 
2.2%
드 5
 
2.2%
리 5
 
2.2%
Other values (103) 170
73.3%
Common
ValueCountFrequency (%)
25
78.1%
( 3
 
9.4%
) 3
 
9.4%
1 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 232
87.9%
ASCII 32
 
12.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
78.1%
( 3
 
9.4%
) 3
 
9.4%
1 1
 
3.1%
Hangul
ValueCountFrequency (%)
아 8
 
3.4%
이 8
 
3.4%
디 8
 
3.4%
화 7
 
3.0%
레 6
 
2.6%
퍼 5
 
2.2%
스 5
 
2.2%
용 5
 
2.2%
드 5
 
2.2%
리 5
 
2.2%
Other values (103) 170
73.3%

용도별 분류
Categorical

Distinct7
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
품종등록
24 
특허
6 
디자인 및 상표
 
2
상표
 
2
디자인,실용신안
 
2
Other values (2)
 
2

Length

Max length8
Median length4
Mean length3.9736842
Min length2

Unique

Unique2 ?
Unique (%)5.3%

Sample

1st row특허
2nd row품종등록
3rd row디자인 및 상표
4th row디자인 및 상표
5th row특허

Common Values

ValueCountFrequency (%)
품종등록 24
63.2%
특허 6
 
15.8%
디자인 및 상표 2
 
5.3%
상표 2
 
5.3%
디자인,실용신안 2
 
5.3%
실용신안 1
 
2.6%
디자인 1
 
2.6%

Length

2023-12-13T00:35:58.845456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:35:58.973891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
품종등록 24
57.1%
특허 6
 
14.3%
상표 4
 
9.5%
디자인 3
 
7.1%
및 2
 
4.8%
디자인,실용신안 2
 
4.8%
실용신안 1
 
2.4%

등록일자
Date

Distinct29
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2009-09-18 00:00:00
Maximum2023-01-04 00:00:00
2023-12-13T00:35:59.117346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:35:59.264000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

등록번호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T00:35:59.536294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length4
Mean length6.4736842
Min length4

Characters and Unicode

Total characters246
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row30-0540759
2nd row3092
3rd row30-0568000
4th row40-0830527
5th row10-0998747
ValueCountFrequency (%)
30-0540759 1
 
2.6%
6685 1
 
2.6%
9259 1
 
2.6%
20-0473829 1
 
2.6%
30-0762720 1
 
2.6%
10-1564719 1
 
2.6%
10-1576498 1
 
2.6%
6643 1
 
2.6%
6644 1
 
2.6%
7059 1
 
2.6%
Other values (28) 28
73.7%
2023-12-13T00:35:59.969862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 54
22.0%
4 30
12.2%
8 22
8.9%
7 21
 
8.5%
1 20
 
8.1%
9 19
 
7.7%
5 18
 
7.3%
6 17
 
6.9%
3 16
 
6.5%
- 16
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
93.5%
Dash Punctuation 16
 
6.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 54
23.5%
4 30
13.0%
8 22
9.6%
7 21
 
9.1%
1 20
 
8.7%
9 19
 
8.3%
5 18
 
7.8%
6 17
 
7.4%
3 16
 
7.0%
2 13
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 246
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 54
22.0%
4 30
12.2%
8 22
8.9%
7 21
 
8.5%
1 20
 
8.1%
9 19
 
7.7%
5 18
 
7.3%
6 17
 
6.9%
3 16
 
6.5%
- 16
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 54
22.0%
4 30
12.2%
8 22
8.9%
7 21
 
8.5%
1 20
 
8.1%
9 19
 
7.7%
5 18
 
7.3%
6 17
 
6.9%
3 16
 
6.5%
- 16
 
6.5%

취득부서
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
연구개발과
38 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
연구개발과 38
100.0%

Length

2023-12-13T00:36:00.187769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:36:00.329786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연구개발과 38
100.0%

Correlations

2023-12-13T00:36:00.435822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자산명용도별 분류등록일자등록번호
자산명1.0001.0000.9841.000
용도별 분류1.0001.0001.0001.000
등록일자0.9841.0001.0001.000
등록번호1.0001.0001.0001.000

Missing values

2023-12-13T00:35:57.852730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:35:58.006346image/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

자산명용도별 분류등록일자등록번호취득부서
0개발용기(화분) 디자인 등록특허2009-09-1830-0540759연구개발과
1고양1호품종등록2010-06-113092연구개발과
2개발용기 상표출원 및 디자인디자인 및 상표2010-07-2030-0568000연구개발과
3개발용기 상표출원 및 디자인디자인 및 상표2010-07-2040-0830527연구개발과
4분화류 고부가가치 상품개발특허2010-11-3010-0998747연구개발과
5메이퀸품종등록2011-09-053741연구개발과
6고양레이디품종등록2011-09-053740연구개발과
7퍼플글로리품종등록2012-03-093906연구개발과
8옐로우맥스품종등록2012-03-093905연구개발과
9자연올(농산물 가공 브랜드)상표2019-05-2340-1482022-0000연구개발과
자산명용도별 분류등록일자등록번호취득부서
28콘텐시아품종등록2018-04-027058연구개발과
29휘티아품종등록2018-04-027059연구개발과
30핀키아품종등록2018-04-027060연구개발과
31레디아품종등록2018-04-027061연구개발과
32퍼플벨벳품종등록2022-02-148854연구개발과
33홀란디아품종등록2022-02-158855연구개발과
34올댓퍼퓸품종등록2022-02-048845연구개발과
35세렌디피티품종등록2022-05-049018연구개발과
36탈리아품종등록2022-12-149259연구개발과
37밀라르고품종등록2023-01-049280연구개발과