Overview

Dataset statistics

Number of variables6
Number of observations1062
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory49.9 KiB
Average record size in memory48.1 B

Variable types

Text4
DateTime2

Dataset

Description한국항공우주연구원이 출원 중이거나 보유 중인 특허 기술의 목록입니다.출원인, 출원일, 출원번호, 등록일, 등록번호, 발명자의 정보를 포함하고 있습니다.
Author한국항공우주연구원
URLhttps://www.data.go.kr/data/15106802/fileData.do

Alerts

출원번호 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:40:37.492118
Analysis finished2023-12-12 19:40:38.277125
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

출원명칭
Text

Distinct1037
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-12-13T04:40:38.605494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length53
Mean length24.676083
Min length2

Characters and Unicode

Total characters26206
Distinct characters561
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1015 ?
Unique (%)95.6%

Sample

1st row펌프용 터보기계
2nd row다중 안테나를 구비한 위성항법장치에서의 위성신호 선택 장치 및 그 방법
3rd row열진공챔버용 극저온모사장치
4th row항공기 구조시험용 과하중방지장치
5th row입구 안내날개가 구비된 인듀서
ValueCountFrequency (%)
및 599
 
8.3%
방법 446
 
6.2%
장치 319
 
4.4%
시스템 220
 
3.0%
이용한 141
 
1.9%
이를 105
 
1.4%
위한 80
 
1.1%
위성 76
 
1.0%
제어 74
 
1.0%
그 70
 
1.0%
Other values (2310) 5122
70.6%
2023-12-13T04:40:39.244880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6203
23.7%
및 600
 
2.3%
방 586
 
2.2%
법 583
 
2.2%
이 583
 
2.2%
치 576
 
2.2%
장 541
 
2.1%
시 448
 
1.7%
기 420
 
1.6%
스 414
 
1.6%
Other values (551) 15252
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19676
75.1%
Space Separator 6203
 
23.7%
Uppercase Letter 210
 
0.8%
Other Punctuation 53
 
0.2%
Dash Punctuation 28
 
0.1%
Decimal Number 26
 
0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
및 600
 
3.0%
방 586
 
3.0%
법 583
 
3.0%
이 583
 
3.0%
치 576
 
2.9%
장 541
 
2.7%
시 448
 
2.3%
기 420
 
2.1%
스 414
 
2.1%
용 376
 
1.9%
Other values (504) 14549
73.9%
Uppercase Letter
ValueCountFrequency (%)
C 34
16.2%
S 33
15.7%
D 25
11.9%
A 17
 
8.1%
R 16
 
7.6%
G 10
 
4.8%
B 8
 
3.8%
N 7
 
3.3%
O 6
 
2.9%
M 6
 
2.9%
Other values (20) 48
22.9%
Lowercase Letter
ValueCountFrequency (%)
g 2
20.0%
f 2
20.0%
y 1
10.0%
a 1
10.0%
w 1
10.0%
k 1
10.0%
o 1
10.0%
n 1
10.0%
Decimal Number
ValueCountFrequency (%)
3 17
65.4%
2 5
 
19.2%
0 3
 
11.5%
4 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 47
88.7%
/ 6
 
11.3%
Dash Punctuation
ValueCountFrequency (%)
- 27
96.4%
－ 1
 
3.6%
Space Separator
ValueCountFrequency (%)
6203
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19676
75.1%
Common 6310
 
24.1%
Latin 220
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
및 600
 
3.0%
방 586
 
3.0%
법 583
 
3.0%
이 583
 
3.0%
치 576
 
2.9%
장 541
 
2.7%
시 448
 
2.3%
기 420
 
2.1%
스 414
 
2.1%
용 376
 
1.9%
Other values (504) 14549
73.9%
Latin
ValueCountFrequency (%)
C 34
15.5%
S 33
15.0%
D 25
11.4%
A 17
 
7.7%
R 16
 
7.3%
G 10
 
4.5%
B 8
 
3.6%
N 7
 
3.2%
O 6
 
2.7%
M 6
 
2.7%
Other values (28) 58
26.4%
Common
ValueCountFrequency (%)
6203
98.3%
, 47
 
0.7%
- 27
 
0.4%
3 17
 
0.3%
/ 6
 
0.1%
2 5
 
0.1%
0 3
 
< 0.1%
－ 1
 
< 0.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19676
75.1%
ASCII 6508
 
24.8%
None 22
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6203
95.3%
, 47
 
0.7%
C 34
 
0.5%
S 33
 
0.5%
- 27
 
0.4%
D 25
 
0.4%
3 17
 
0.3%
A 17
 
0.3%
R 16
 
0.2%
G 10
 
0.2%
Other values (23) 79
 
1.2%
Hangul
ValueCountFrequency (%)
및 600
 
3.0%
방 586
 
3.0%
법 583
 
3.0%
이 583
 
3.0%
치 576
 
2.9%
장 541
 
2.7%
시 448
 
2.3%
기 420
 
2.1%
스 414
 
2.1%
용 376
 
1.9%
Other values (504) 14549
73.9%
None
ValueCountFrequency (%)
Ｄ 3
13.6%
Ｓ 3
13.6%
Ａ 3
13.6%
Ｒ 2
9.1%
Ｂ 2
9.1%
Ｈ 1
 
4.5%
－ 1
 
4.5%
Ｕ 1
 
4.5%
Ｔ 1
 
4.5%
Ｅ 1
 
4.5%
Other values (4) 4
18.2%

출원발명자
Text

Distinct746
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-12-13T04:40:39.616695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length50
Mean length11.789077
Min length2

Characters and Unicode

Total characters12520
Distinct characters205
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique598 ?
Unique (%)56.3%

Sample

1st row최창호 김진한
2nd row권병문 문지현 최형돈
3rd row이상훈 서희준 조혁진 전동익 문귀원 최석원
4th row김성찬 황인희 최익현
5th row최창호 김진한
ValueCountFrequency (%)
허문범 59
 
1.8%
문귀원 47
 
1.4%
이선호 35
 
1.1%
조혁진 33
 
1.0%
민병희 32
 
1.0%
서희준 32
 
1.0%
장재웅 32
 
1.0%
김태윤 32
 
1.0%
장경덕 28
 
0.8%
허윤구 27
 
0.8%
Other values (723) 2967
89.3%
2023-12-13T04:40:40.129431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2274
 
18.2%
김 563
 
4.5%
이 539
 
4.3%
성 311
 
2.5%
원 241
 
1.9%
진 226
 
1.8%
상 226
 
1.8%
정 215
 
1.7%
최 214
 
1.7%
현 210
 
1.7%
Other values (195) 7501
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10086
80.6%
Space Separator 2274
 
18.2%
Close Punctuation 65
 
0.5%
Open Punctuation 65
 
0.5%
Uppercase Letter 30
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 563
 
5.6%
이 539
 
5.3%
성 311
 
3.1%
원 241
 
2.4%
진 226
 
2.2%
상 226
 
2.2%
정 215
 
2.1%
최 214
 
2.1%
현 210
 
2.1%
민 206
 
2.0%
Other values (187) 7135
70.7%
Uppercase Letter
ValueCountFrequency (%)
T 6
20.0%
I 6
20.0%
A 6
20.0%
K 6
20.0%
S 6
20.0%
Space Separator
ValueCountFrequency (%)
2274
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10086
80.6%
Common 2404
 
19.2%
Latin 30
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 563
 
5.6%
이 539
 
5.3%
성 311
 
3.1%
원 241
 
2.4%
진 226
 
2.2%
상 226
 
2.2%
정 215
 
2.1%
최 214
 
2.1%
현 210
 
2.1%
민 206
 
2.0%
Other values (187) 7135
70.7%
Latin
ValueCountFrequency (%)
T 6
20.0%
I 6
20.0%
A 6
20.0%
K 6
20.0%
S 6
20.0%
Common
ValueCountFrequency (%)
2274
94.6%
) 65
 
2.7%
( 65
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10086
80.6%
ASCII 2434
 
19.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2274
93.4%
) 65
 
2.7%
( 65
 
2.7%
T 6
 
0.2%
I 6
 
0.2%
A 6
 
0.2%
K 6
 
0.2%
S 6
 
0.2%
Hangul
ValueCountFrequency (%)
김 563
 
5.6%
이 539
 
5.3%
성 311
 
3.1%
원 241
 
2.4%
진 226
 
2.2%
상 226
 
2.2%
정 215
 
2.1%
최 214
 
2.1%
현 210
 
2.1%
민 206
 
2.0%
Other values (187) 7135
70.7%

출원일
Date

Distinct670
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
Minimum2003-11-13 00:00:00
Maximum2022-12-01 00:00:00
2023-12-13T04:40:40.282747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:40:40.429078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

출원번호
Text

UNIQUE 

Distinct1062
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-12-13T04:40:40.620914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length15.012241
Min length15

Characters and Unicode

Total characters15943
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1062 ?
Unique (%)100.0%

Sample

1st row10-2003-0082193
2nd row10-2003-0080309
3rd row10-2003-0097116
4th row10-2003-0097115
5th row10-2004-0096904
ValueCountFrequency (%)
10-2003-0082193 1
 
0.1%
10-2018-0138293 1
 
0.1%
10-2018-0155467 1
 
0.1%
10-2018-0134555 1
 
0.1%
10-2018-0151245 1
 
0.1%
10-2018-0147464 1
 
0.1%
10-2018-0152159 1
 
0.1%
10-2018-0163312 1
 
0.1%
10-2018-0158384 1
 
0.1%
10-2018-0145102 1
 
0.1%
Other values (1052) 1052
99.1%
2023-12-13T04:40:41.018080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4125
25.9%
1 3239
20.3%
- 2124
13.3%
2 1781
11.2%
7 718
 
4.5%
8 694
 
4.4%
9 679
 
4.3%
5 671
 
4.2%
6 658
 
4.1%
4 636
 
4.0%
Other values (2) 618
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13806
86.6%
Dash Punctuation 2124
 
13.3%
Space Separator 13
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4125
29.9%
1 3239
23.5%
2 1781
12.9%
7 718
 
5.2%
8 694
 
5.0%
9 679
 
4.9%
5 671
 
4.9%
6 658
 
4.8%
4 636
 
4.6%
3 605
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 2124
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15943
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4125
25.9%
1 3239
20.3%
- 2124
13.3%
2 1781
11.2%
7 718
 
4.5%
8 694
 
4.4%
9 679
 
4.3%
5 671
 
4.2%
6 658
 
4.1%
4 636
 
4.0%
Other values (2) 618
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15943
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4125
25.9%
1 3239
20.3%
- 2124
13.3%
2 1781
11.2%
7 718
 
4.5%
8 694
 
4.4%
9 679
 
4.3%
5 671
 
4.2%
6 658
 
4.1%
4 636
 
4.0%
Other values (2) 618
 
3.9%

등록일
Date

Distinct759
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
Minimum2005-10-04 00:00:00
Maximum2023-09-13 00:00:00
2023-12-13T04:40:41.181702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:40:41.381202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록번호
Text

UNIQUE 

Distinct1062
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.4 KiB
2023-12-13T04:40:41.729495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length10.001883
Min length10

Characters and Unicode

Total characters10622
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1062 ?
Unique (%)100.0%

Sample

1st row10-0522022
2nd row10-0520235
3rd row10-0568732
4th row10-0590788
5th row10-0625845
ValueCountFrequency (%)
10-0522022 1
 
0.1%
10-2112290 1
 
0.1%
10-2122989 1
 
0.1%
10-2125862 1
 
0.1%
10-2108873 1
 
0.1%
10-2134621 1
 
0.1%
10-2093119 1
 
0.1%
10-2184662 1
 
0.1%
10-2170631 1
 
0.1%
10-2030536 1
 
0.1%
Other values (1052) 1052
99.1%
2023-12-13T04:40:42.254226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2234
21.0%
0 1775
16.7%
2 1216
11.4%
- 1062
10.0%
8 655
 
6.2%
6 645
 
6.1%
9 633
 
6.0%
4 615
 
5.8%
7 604
 
5.7%
3 603
 
5.7%
Other values (2) 580
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9558
90.0%
Dash Punctuation 1062
 
10.0%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2234
23.4%
0 1775
18.6%
2 1216
12.7%
8 655
 
6.9%
6 645
 
6.7%
9 633
 
6.6%
4 615
 
6.4%
7 604
 
6.3%
3 603
 
6.3%
5 578
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 1062
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10622
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2234
21.0%
0 1775
16.7%
2 1216
11.4%
- 1062
10.0%
8 655
 
6.2%
6 645
 
6.1%
9 633
 
6.0%
4 615
 
5.8%
7 604
 
5.7%
3 603
 
5.7%
Other values (2) 580
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10622
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2234
21.0%
0 1775
16.7%
2 1216
11.4%
- 1062
10.0%
8 655
 
6.2%
6 645
 
6.1%
9 633
 
6.0%
4 615
 
5.8%
7 604
 
5.7%
3 603
 
5.7%
Other values (2) 580
 
5.5%

Missing values

2023-12-13T04:40:38.084799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:40:38.221422image/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

출원명칭출원발명자출원일출원번호등록일등록번호
0펌프용 터보기계최창호 김진한2003-11-1910-2003-00821932005-10-1010-0522022
1다중 안테나를 구비한 위성항법장치에서의 위성신호 선택 장치 및 그 방법권병문 문지현 최형돈2003-11-1310-2003-00803092005-10-0410-0520235
2열진공챔버용 극저온모사장치이상훈 서희준 조혁진 전동익 문귀원 최석원2003-12-2610-2003-00971162006-03-3110-0568732
3항공기 구조시험용 과하중방지장치김성찬 황인희 최익현2003-12-2610-2003-00971152006-06-0910-0590788
4입구 안내날개가 구비된 인듀서최창호 김진한2004-11-2410-2004-00969042006-09-1210-0625845
5극저온 버접촉식 환상 실 장착구조전성민 김진한2004-11-2910-2004-00986072006-09-1210-0625832
6축추력 제어부재가 설치된 원심형 터보기계최창호 김진한2004-11-3010-2004-00995052006-08-1810-0616153
7태양광 최대 전력추적 장치 및 방법박희성 장성수 장진백 박성우 이주훈 김성훈2004-12-2310-2004-01112792007-01-0810-0668489
8궤도기하학을 이용한 인공위성 자기센서의 바이어스 보정 방법이선호 이승우2004-12-2910-2004-01150072007-01-0210-0666160
9틸트 로터 항공기김재무 김근택 황수정 이명규 구삼옥 임철호2004-12-3110-2004-01175982006-02-2010-0555176
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