Overview

Dataset statistics

Number of variables7
Number of observations76
Missing cells3
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory57.7 B

Variable types

Categorical5
Text2

Dataset

Description한전원자력연료의 보유 상표 리스트. 종류, 출원번호, 등록번호, 건명, 출원일자, 등록일자 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15019466/fileData.do

Alerts

종류 has constant value ""Constant
출원국 has constant value ""Constant
등록일자 is highly overall correlated with 건명 and 1 other fieldsHigh correlation
출원일자 is highly overall correlated with 건명 and 1 other fieldsHigh correlation
건명 is highly overall correlated with 출원일자 and 1 other fieldsHigh correlation
등록번호 has 3 (3.9%) missing valuesMissing
출원번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:41:20.918209
Analysis finished2023-12-12 19:41:21.435969
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
상표
76 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상표 76
100.0%

Length

2023-12-13T04:41:21.510481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:41:21.614386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상표 76
100.0%

출원번호
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-13T04:41:21.862882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length13.960526
Min length10

Characters and Unicode

Total characters1061
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

Unique76 ?
Unique (%)100.0%

Sample

1st row40-2017-0131604
2nd row40-2017-0131605
3rd row40-2017-0131606
4th row40-2015-0082422
5th row40-2011-0045064
ValueCountFrequency (%)
40-2017-0131604 1
 
1.3%
2008-0004936 1
 
1.3%
40-2012-0018995 1
 
1.3%
40-2012-0018993 1
 
1.3%
40-2012-0018991 1
 
1.3%
40-2012-0018989 1
 
1.3%
40-2012-0018987 1
 
1.3%
40-2012-0018985 1
 
1.3%
2011-0024676 1
 
1.3%
40-2017-0131605 1
 
1.3%
Other values (66) 66
86.8%
2023-12-13T04:41:22.204492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 305
28.7%
4 140
13.2%
1 139
13.1%
- 133
12.5%
2 122
 
11.5%
9 60
 
5.7%
3 42
 
4.0%
5 36
 
3.4%
7 29
 
2.7%
8 28
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 928
87.5%
Dash Punctuation 133
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 305
32.9%
4 140
15.1%
1 139
15.0%
2 122
 
13.1%
9 60
 
6.5%
3 42
 
4.5%
5 36
 
3.9%
7 29
 
3.1%
8 28
 
3.0%
6 27
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1061
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 305
28.7%
4 140
13.2%
1 139
13.1%
- 133
12.5%
2 122
 
11.5%
9 60
 
5.7%
3 42
 
4.0%
5 36
 
3.4%
7 29
 
2.7%
8 28
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1061
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 305
28.7%
4 140
13.2%
1 139
13.1%
- 133
12.5%
2 122
 
11.5%
9 60
 
5.7%
3 42
 
4.0%
5 36
 
3.4%
7 29
 
2.7%
8 28
 
2.6%

등록번호
Text

MISSING 

Distinct73
Distinct (%)100.0%
Missing3
Missing (%)3.9%
Memory size740.0 B
2023-12-13T04:41:22.554134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters730
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

Unique73 ?
Unique (%)100.0%

Sample

1st row40-1180481
2nd row40-0947715
3rd row40-0947720
4th row40-0947714
5th row40-0947712
ValueCountFrequency (%)
41-0239032 1
 
1.4%
40-0559413 1
 
1.4%
40-0954340 1
 
1.4%
40-0954342 1
 
1.4%
40-0954344 1
 
1.4%
40-0954346 1
 
1.4%
40-0954349 1
 
1.4%
40-0954350 1
 
1.4%
41-0236605 1
 
1.4%
41-0236607 1
 
1.4%
Other values (63) 63
86.3%
2023-12-13T04:41:23.104379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 162
22.2%
4 132
18.1%
9 77
10.5%
- 73
10.0%
3 64
 
8.8%
7 54
 
7.4%
1 37
 
5.1%
2 36
 
4.9%
5 34
 
4.7%
6 33
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 657
90.0%
Dash Punctuation 73
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 162
24.7%
4 132
20.1%
9 77
11.7%
3 64
 
9.7%
7 54
 
8.2%
1 37
 
5.6%
2 36
 
5.5%
5 34
 
5.2%
6 33
 
5.0%
8 28
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 730
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 162
22.2%
4 132
18.1%
9 77
10.5%
- 73
10.0%
3 64
 
8.8%
7 54
 
7.4%
1 37
 
5.1%
2 36
 
4.9%
5 34
 
4.7%
6 33
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 730
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 162
22.2%
4 132
18.1%
9 77
10.5%
- 73
10.0%
3 64
 
8.8%
7 54
 
7.4%
1 37
 
5.1%
2 36
 
4.9%
5 34
 
4.7%
6 33
 
4.5%

건명
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Memory size740.0 B
원자동이
39 
PLUS7
 
3
AUH
 
3
ACE7
 
2
원자동이 디자인 상표4
 
1
Other values (28)
28 

Length

Max length12
Median length4
Mean length5.8421053
Min length3

Unique

Unique29 ?
Unique (%)38.2%

Sample

1st rowAUH
2nd rowAUH
3rd rowAUH
4th rowXclean14
5th row원자동이

Common Values

ValueCountFrequency (%)
원자동이 39
51.3%
PLUS7 3
 
3.9%
AUH 3
 
3.9%
ACE7 2
 
2.6%
원자동이 디자인 상표4 1
 
1.3%
Xclean14 1
 
1.3%
PYRON 1
 
1.3%
VORA 1
 
1.3%
APLUS7 1
 
1.3%
KORONA # 1
 
1.3%
Other values (23) 23
30.3%

Length

2023-12-13T04:41:23.316883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원자동이 45
44.1%
디자인 6
 
5.9%
pioneer 4
 
3.9%
kebtin 4
 
3.9%
nubida 4
 
3.9%
2-s 3
 
2.9%
1-s 3
 
2.9%
2-l 3
 
2.9%
plus7 3
 
2.9%
1-l 3
 
2.9%
Other values (21) 24
23.5%

출원국
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
한국
76 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한국 76
100.0%

Length

2023-12-13T04:41:23.468500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:41:23.617564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국 76
100.0%

출원일자
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size740.0 B
2011-08-18
45 
2012-03-22
12 
2009-08-17
9 
2017-10-18
 
3
2008-10-01
 
2
Other values (4)
5 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique3 ?
Unique (%)3.9%

Sample

1st row2017-10-18
2nd row2017-10-18
3rd row2017-10-18
4th row2015-11-10
5th row2011-08-18

Common Values

ValueCountFrequency (%)
2011-08-18 45
59.2%
2012-03-22 12
 
15.8%
2009-08-17 9
 
11.8%
2017-10-18 3
 
3.9%
2008-10-01 2
 
2.6%
2004-08-13 2
 
2.6%
2015-11-10 1
 
1.3%
2002-05-23 1
 
1.3%
2008-01-31 1
 
1.3%

Length

2023-12-13T04:41:23.769594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:41:23.936358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2011-08-18 45
59.2%
2012-03-22 12
 
15.8%
2009-08-17 9
 
11.8%
2017-10-18 3
 
3.9%
2008-10-01 2
 
2.6%
2004-08-13 2
 
2.6%
2015-11-10 1
 
1.3%
2002-05-23 1
 
1.3%
2008-01-31 1
 
1.3%

등록일자
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size740.0 B
2013-01-08
19 
2013-02-20
12 
2012-11-05
10 
2012-10-05
10 
2010-06-15
7 
Other values (12)
18 

Length

Max length10
Median length10
Mean length9.7631579
Min length4

Unique

Unique9 ?
Unique (%)11.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row2016-05-25
5th row2013-01-08

Common Values

ValueCountFrequency (%)
2013-01-08 19
25.0%
2013-02-20 12
15.8%
2012-11-05 10
13.2%
2012-10-05 10
13.2%
2010-06-15 7
 
9.2%
2012-07-30 4
 
5.3%
<NA> 3
 
3.9%
2010-05-10 2
 
2.6%
2003-09-16 1
 
1.3%
2008-11-11 1
 
1.3%
Other values (7) 7
 
9.2%

Length

2023-12-13T04:41:24.130160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2013-01-08 19
25.0%
2013-02-20 12
15.8%
2012-11-05 10
13.2%
2012-10-05 10
13.2%
2010-06-15 7
 
9.2%
2012-07-30 4
 
5.3%
na 3
 
3.9%
2010-05-10 2
 
2.6%
2012-08-24 1
 
1.3%
2016-05-25 1
 
1.3%
Other values (7) 7
 
9.2%

Correlations

2023-12-13T04:41:24.237288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출원번호등록번호건명출원일자등록일자
출원번호1.0001.0001.0001.0001.000
등록번호1.0001.0001.0001.0001.000
건명1.0001.0001.0000.9590.977
출원일자1.0001.0000.9591.0001.000
등록일자1.0001.0000.9771.0001.000
2023-12-13T04:41:24.368473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록일자출원일자건명
등록일자1.0000.9360.589
출원일자0.9361.0000.621
건명0.5890.6211.000
2023-12-13T04:41:24.461737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건명출원일자등록일자
건명1.0000.6210.589
출원일자0.6211.0000.936
등록일자0.5890.9361.000

Missing values

2023-12-13T04:41:21.229894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:41:21.373830image/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

종류출원번호등록번호건명출원국출원일자등록일자
0상표40-2017-0131604<NA>AUH한국2017-10-18<NA>
1상표40-2017-0131605<NA>AUH한국2017-10-18<NA>
2상표40-2017-0131606<NA>AUH한국2017-10-18<NA>
3상표40-2015-008242240-1180481Xclean14한국2015-11-102016-05-25
4상표40-2011-004506440-0947715원자동이한국2011-08-182013-01-08
5상표40-2011-004506640-0947720원자동이한국2011-08-182013-01-08
6상표40-2011-004505640-0947714원자동이한국2011-08-182013-01-08
7상표40-2011-004497040-0947712원자동이한국2011-08-182013-01-08
8상표40-2011-004503140-0947718원자동이한국2011-08-182013-01-08
9상표40-2011-004497340-0947721원자동이한국2011-08-182013-01-08
종류출원번호등록번호건명출원국출원일자등록일자
66상표40-2011-004506840-0939744원자동이한국2011-08-182012-11-05
67상표40-2011-002472441-0248710원자동이한국2011-08-182013-01-08
68상표41-2011-002473241-0248708원자동이한국2011-08-182013-01-08
69상표40-2011-004493640-0947716원자동이한국2011-08-182013-01-08
70상표40-2011-004497240-0947717원자동이한국2011-08-182013-01-08
71상표40-2011-004502940-0947713원자동이한국2011-08-182013-01-08
72상표40-2011-004505840-0947719원자동이한국2011-08-182013-01-08
73상표40-2011-004503240-0947722원자동이한국2011-08-182013-01-08
74상표40-2011-004506740-0947724원자동이한국2011-08-182013-01-08
75상표40-2011-004505940-0947723원자동이한국2011-08-182013-01-08