Overview

Dataset statistics

Number of variables6
Number of observations2492
Missing cells9
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory116.9 KiB
Average record size in memory48.1 B

Variable types

Text4
DateTime2

Dataset

Description한국철도기술연구원이 보유한 지식재산권에 대한 메타정보(지재권명, 지재권번호, 지재권일자, 발명자 등) 를 제공합니다
Author한국철도기술연구원
URLhttps://www.data.go.kr/data/15051392/fileData.do

Alerts

출원번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:50:54.069590
Analysis finished2023-12-12 03:50:55.082439
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지식재산권명
Text

Distinct2432
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size19.6 KiB
2023-12-12T12:50:55.309031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length108
Median length69
Mean length25.207063
Min length4

Characters and Unicode

Total characters62816
Distinct characters648
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2390 ?
Unique (%)95.9%

Sample

1st row철도차량용 소결합금재 제동라이닝
2nd row히스테리시스 전류제어기를 이용한 앤피시 인버터의 제어장치
3rd row경량전철 제3궤조 집전장치
4th row열차모형시험장치
5th row철도터널 미기압파 저감용 경사갱구형후드
ValueCountFrequency (%)
및 926
 
5.9%
방법 577
 
3.6%
이용한 485
 
3.1%
시스템 470
 
3.0%
장치 387
 
2.4%
그 265
 
1.7%
위한 190
 
1.2%
철도차량용 163
 
1.0%
이를 155
 
1.0%
철도 143
 
0.9%
Other values (5112) 12051
76.2%
2023-12-12T12:50:56.145619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13371
 
21.3%
차 1452
 
2.3%
이 1337
 
2.1%
용 1333
 
2.1%
도 1284
 
2.0%
시 1264
 
2.0%
장 1256
 
2.0%
치 1225
 
2.0%
방 1128
 
1.8%
의 1088
 
1.7%
Other values (638) 38078
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48815
77.7%
Space Separator 13371
 
21.3%
Uppercase Letter 350
 
0.6%
Decimal Number 100
 
0.2%
Lowercase Letter 73
 
0.1%
Other Punctuation 70
 
0.1%
Dash Punctuation 20
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 1452
 
3.0%
이 1337
 
2.7%
용 1333
 
2.7%
도 1284
 
2.6%
시 1264
 
2.6%
장 1256
 
2.6%
치 1225
 
2.5%
방 1128
 
2.3%
의 1088
 
2.2%
스 1076
 
2.2%
Other values (576) 36372
74.5%
Uppercase Letter
ValueCountFrequency (%)
P 46
13.1%
C 43
12.3%
T 38
10.9%
M 31
8.9%
D 31
8.9%
R 26
 
7.4%
S 26
 
7.4%
I 16
 
4.6%
L 15
 
4.3%
A 13
 
3.7%
Other values (16) 65
18.6%
Lowercase Letter
ValueCountFrequency (%)
t 9
12.3%
e 7
 
9.6%
i 7
 
9.6%
o 6
 
8.2%
a 6
 
8.2%
l 4
 
5.5%
f 4
 
5.5%
r 4
 
5.5%
d 4
 
5.5%
g 3
 
4.1%
Other values (10) 19
26.0%
Decimal Number
ValueCountFrequency (%)
3 30
30.0%
2 27
27.0%
0 18
18.0%
5 14
14.0%
1 8
 
8.0%
7 2
 
2.0%
4 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 45
64.3%
. 12
 
17.1%
/ 10
 
14.3%
· 3
 
4.3%
Space Separator
ValueCountFrequency (%)
13371
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48815
77.7%
Common 13578
 
21.6%
Latin 423
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 1452
 
3.0%
이 1337
 
2.7%
용 1333
 
2.7%
도 1284
 
2.6%
시 1264
 
2.6%
장 1256
 
2.6%
치 1225
 
2.5%
방 1128
 
2.3%
의 1088
 
2.2%
스 1076
 
2.2%
Other values (576) 36372
74.5%
Latin
ValueCountFrequency (%)
P 46
 
10.9%
C 43
 
10.2%
T 38
 
9.0%
M 31
 
7.3%
D 31
 
7.3%
R 26
 
6.1%
S 26
 
6.1%
I 16
 
3.8%
L 15
 
3.5%
A 13
 
3.1%
Other values (36) 138
32.6%
Common
ValueCountFrequency (%)
13371
98.5%
, 45
 
0.3%
3 30
 
0.2%
2 27
 
0.2%
- 20
 
0.1%
0 18
 
0.1%
5 14
 
0.1%
. 12
 
0.1%
/ 10
 
0.1%
( 8
 
0.1%
Other values (6) 23
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48813
77.7%
ASCII 13994
 
22.3%
None 7
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13371
95.5%
P 46
 
0.3%
, 45
 
0.3%
C 43
 
0.3%
T 38
 
0.3%
M 31
 
0.2%
D 31
 
0.2%
3 30
 
0.2%
2 27
 
0.2%
R 26
 
0.2%
Other values (47) 306
 
2.2%
Hangul
ValueCountFrequency (%)
차 1452
 
3.0%
이 1337
 
2.7%
용 1333
 
2.7%
도 1284
 
2.6%
시 1264
 
2.6%
장 1256
 
2.6%
치 1225
 
2.5%
방 1128
 
2.3%
의 1088
 
2.2%
스 1076
 
2.2%
Other values (575) 36370
74.5%
None
ValueCountFrequency (%)
· 3
42.9%
× 1
 
14.3%
Ｌ 1
 
14.3%
Ｍ 1
 
14.3%
Ｓ 1
 
14.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

발명자
Text

Distinct1928
Distinct (%)77.5%
Missing3
Missing (%)0.1%
Memory size19.6 KiB
2023-12-12T12:50:56.468539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length136
Median length108
Mean length34.689434
Min length8

Characters and Unicode

Total characters86342
Distinct characters174
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1641 ?
Unique (%)65.9%

Sample

1st row최경진[최경진]; 권석진[권석진]
2nd row이병송[이병송]
3rd row김연수[김연수]; 정락교[정락교]; 박성혁[박성혁]
4th row김동현[김동현]
5th row김동현[김동현]
ValueCountFrequency (%)
서승일[서승일 185
 
2.0%
문형석[문형석 166
 
1.8%
김길동[김길동 128
 
1.4%
이병송[이병송 114
 
1.2%
안태기[안태기 107
 
1.2%
사공명[사공명 105
 
1.1%
오세찬[오세찬 94
 
1.0%
김진호[김진호 92
 
1.0%
김용규[김용규 90
 
1.0%
박덕신[박덕신 88
 
1.0%
Other values (440) 7992
87.2%
2023-12-12T12:50:56.941975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
[ 9161
 
10.6%
] 9161
 
10.6%
; 6672
 
7.7%
6672
 
7.7%
김 3518
 
4.1%
이 3230
 
3.7%
정 1826
 
2.1%
호 1692
 
2.0%
박 1608
 
1.9%
현 1360
 
1.6%
Other values (164) 41442
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54664
63.3%
Open Punctuation 9161
 
10.6%
Close Punctuation 9161
 
10.6%
Other Punctuation 6672
 
7.7%
Space Separator 6672
 
7.7%
Lowercase Letter 10
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 3518
 
6.4%
이 3230
 
5.9%
정 1826
 
3.3%
호 1692
 
3.1%
박 1608
 
2.9%
현 1360
 
2.5%
영 1352
 
2.5%
용 1152
 
2.1%
기 1140
 
2.1%
석 1138
 
2.1%
Other values (155) 36648
67.0%
Lowercase Letter
ValueCountFrequency (%)
n 4
40.0%
a 2
20.0%
u 2
20.0%
y 2
20.0%
Open Punctuation
ValueCountFrequency (%)
[ 9161
100.0%
Close Punctuation
ValueCountFrequency (%)
] 9161
100.0%
Other Punctuation
ValueCountFrequency (%)
; 6672
100.0%
Space Separator
ValueCountFrequency (%)
6672
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54664
63.3%
Common 31666
36.7%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 3518
 
6.4%
이 3230
 
5.9%
정 1826
 
3.3%
호 1692
 
3.1%
박 1608
 
2.9%
현 1360
 
2.5%
영 1352
 
2.5%
용 1152
 
2.1%
기 1140
 
2.1%
석 1138
 
2.1%
Other values (155) 36648
67.0%
Latin
ValueCountFrequency (%)
n 4
33.3%
a 2
16.7%
u 2
16.7%
y 2
16.7%
S 2
16.7%
Common
ValueCountFrequency (%)
[ 9161
28.9%
] 9161
28.9%
; 6672
21.1%
6672
21.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54664
63.3%
ASCII 31678
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
[ 9161
28.9%
] 9161
28.9%
; 6672
21.1%
6672
21.1%
n 4
 
< 0.1%
a 2
 
< 0.1%
u 2
 
< 0.1%
y 2
 
< 0.1%
S 2
 
< 0.1%
Hangul
ValueCountFrequency (%)
김 3518
 
6.4%
이 3230
 
5.9%
정 1826
 
3.3%
호 1692
 
3.1%
박 1608
 
2.9%
현 1360
 
2.5%
영 1352
 
2.5%
용 1152
 
2.1%
기 1140
 
2.1%
석 1138
 
2.1%
Other values (155) 36648
67.0%

출원번호
Text

UNIQUE 

Distinct2492
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size19.6 KiB
2023-12-12T12:50:57.146958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length14.928973
Min length12

Characters and Unicode

Total characters37203
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

Unique2492 ?
Unique (%)100.0%

Sample

1st row10-1996-0044540
2nd row10-1998-0045043
3rd row10-1999-0031331
4th row10-1999-0047746
5th row10-1999-0051346
ValueCountFrequency (%)
10-1996-0044540 1
 
< 0.1%
10-2015-0048993 1
 
< 0.1%
10-2015-0027127 1
 
< 0.1%
10-2015-0049535 1
 
< 0.1%
10-2015-0023111 1
 
< 0.1%
10-2015-0018636 1
 
< 0.1%
10-2015-0081519 1
 
< 0.1%
10-2015-0026062 1
 
< 0.1%
10-2015-0019588 1
 
< 0.1%
10-2015-0035244 1
 
< 0.1%
Other values (2482) 2482
99.6%
2023-12-12T12:50:57.509498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10625
28.6%
1 6958
18.7%
- 4984
13.4%
2 4062
 
10.9%
3 1681
 
4.5%
4 1645
 
4.4%
9 1559
 
4.2%
5 1489
 
4.0%
6 1412
 
3.8%
7 1404
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32219
86.6%
Dash Punctuation 4984
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10625
33.0%
1 6958
21.6%
2 4062
 
12.6%
3 1681
 
5.2%
4 1645
 
5.1%
9 1559
 
4.8%
5 1489
 
4.6%
6 1412
 
4.4%
7 1404
 
4.4%
8 1384
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 4984
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 37203
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10625
28.6%
1 6958
18.7%
- 4984
13.4%
2 4062
 
10.9%
3 1681
 
4.5%
4 1645
 
4.4%
9 1559
 
4.2%
5 1489
 
4.0%
6 1412
 
3.8%
7 1404
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37203
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10625
28.6%
1 6958
18.7%
- 4984
13.4%
2 4062
 
10.9%
3 1681
 
4.5%
4 1645
 
4.4%
9 1559
 
4.2%
5 1489
 
4.0%
6 1412
 
3.8%
7 1404
 
3.8%

출원일
Date

Distinct1341
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size19.6 KiB
Minimum1996-10-08 00:00:00
Maximum2021-10-12 00:00:00
2023-12-12T12:50:57.688174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:57.896789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록번호
Text

Distinct2489
Distinct (%)100.0%
Missing3
Missing (%)0.1%
Memory size19.6 KiB
2023-12-12T12:50:58.469538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.5443953
Min length6

Characters and Unicode

Total characters23756
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

Unique2489 ?
Unique (%)100.0%

Sample

1st row185277
2nd row319551
3rd row307501
4th row10-0367627
5th row10-0365955
ValueCountFrequency (%)
10-0331955 1
 
< 0.1%
10-1687336 1
 
< 0.1%
10-1671222 1
 
< 0.1%
10-1587977 1
 
< 0.1%
10-1659735 1
 
< 0.1%
10-1755224 1
 
< 0.1%
10-1684402 1
 
< 0.1%
10-1535516 1
 
< 0.1%
10-1675352 1
 
< 0.1%
10-1487884 1
 
< 0.1%
Other values (2479) 2479
99.6%
2023-12-12T12:50:59.294705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5288
22.3%
0 3980
16.8%
- 2207
9.3%
2 1845
 
7.8%
6 1535
 
6.5%
4 1531
 
6.4%
9 1523
 
6.4%
3 1508
 
6.3%
7 1468
 
6.2%
5 1453
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21549
90.7%
Dash Punctuation 2207
 
9.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5288
24.5%
0 3980
18.5%
2 1845
 
8.6%
6 1535
 
7.1%
4 1531
 
7.1%
9 1523
 
7.1%
3 1508
 
7.0%
7 1468
 
6.8%
5 1453
 
6.7%
8 1418
 
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 2207
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23756
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5288
22.3%
0 3980
16.8%
- 2207
9.3%
2 1845
 
7.8%
6 1535
 
6.5%
4 1531
 
6.4%
9 1523
 
6.4%
3 1508
 
6.3%
7 1468
 
6.2%
5 1453
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5288
22.3%
0 3980
16.8%
- 2207
9.3%
2 1845
 
7.8%
6 1535
 
6.5%
4 1531
 
6.4%
9 1523
 
6.4%
3 1508
 
6.3%
7 1468
 
6.2%
5 1453
 
6.1%

등록일
Date

Distinct1371
Distinct (%)55.1%
Missing3
Missing (%)0.1%
Memory size19.6 KiB
Minimum1998-12-23 00:00:00
Maximum2022-06-21 00:00:00
2023-12-12T12:50:59.492923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:50:59.702031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2023-12-12T12:50:54.759698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:50:54.909040image/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.
2023-12-12T12:50:55.023893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

지식재산권명발명자출원번호출원일등록번호등록일
0철도차량용 소결합금재 제동라이닝최경진[최경진]; 권석진[권석진]10-1996-00445401996-10-081852771998-12-23
1히스테리시스 전류제어기를 이용한 앤피시 인버터의 제어장치이병송[이병송]10-1998-00450431998-10-273195512001-12-20
2경량전철 제3궤조 집전장치김연수[김연수]; 정락교[정락교]; 박성혁[박성혁]10-1999-00313311999-07-303075012001-08-21
3열차모형시험장치김동현[김동현]10-1999-00477461999-10-3010-03676272002-12-26
4철도터널 미기압파 저감용 경사갱구형후드김동현[김동현]10-1999-00513461999-11-1810-03659552002-12-11
5철도터널 미기압파 저감용 슬릿후드김동현[김동현]10-1999-00513471999-11-1810-03319542002-03-26
6철도터널 미기압파 저감용 통풍공형 후드김동현[김동현]10-1999-00513481999-11-1810-03319552002-03-26
7차량 장착용 승하차 안전발판문형석[문형석]10-1999-00553211999-12-073182122001-12-07
8플랫홈 장착용 승하차안전발판문형석[문형석]10-1999-00553201999-12-0710-03182112001-12-07
9철도차량 모의관성 부하장치의 인버터 재점착 시험용 클러치김길동[김길동]; 한영재[한영재]; 박현준[박현준]; 변윤섭[변윤섭]10-1999-00553181999-12-073175602001-12-03
지식재산권명발명자출원번호출원일등록번호등록일
2482방진 파레트장승호[장승호]10-2020-00863002020-07-1310-22009532021-01-05
2483혼잡도 측정 방법 및 시스템안태기[안태기]; 유소영[유소영]; 정은비[정은비]; 이준[이준]10-2020-00850912020-07-1010-22267532021-03-05
2484협력적 측위 방법 및 장치유승민[유승민]; 이준[이준]; 유소영[유소영]; 고상필[고상필]; 정은비[정은비]10-2020-00912022020-07-2210-22752652021-07-05
2485스캔 횟수를 최소화하는 타이밍 데이터 기반 측위 방법 및 장치유승민[유승민]; 이준[이준]; 유소영[유소영]; 고상필[고상필]; 정은비[정은비]10-2020-01030352020-08-1810-22753092021-07-05
2486SBRT급 차량에 대한 전용도로 허가 방법유소영[유소영]; 정은비[정은비]; 안태기[안태기]; 유승민[유승민]; 고상필[고상필]; 배준현[배준현]; 이준[이준]10-2020-01374962020-10-2210-22556442021-05-18
2487팬리스 집진장치 내장 방음벽체홍지영[홍지영]; 고효인[고효인]; 이덕희[이덕희]; 정우태[정우태]; 이현욱[이현욱]; 박덕신[박덕신]; 김민정[김민정]10-2020-01549592020-11-1810-22848282021-07-27
2488팬리스 집진장치 내장 방음벽체홍지영[홍지영]; 고효인[고효인]; 이덕희[이덕희]; 정우태[정우태]; 이현욱[이현욱]; 박덕신[박덕신]; 김민정[김민정]10-2020-01549652020-11-1810-22848362021-07-27
2489조절 가능한 부시가 구비된 외측 포인트 가드레일김만철[김만철]; 김은[김은]; 윤병현[윤병현]; 박준택[박준택]; 오재훈[오재훈]10-2020-01571302020-11-2010-22648822021-06-08
2490무게이트 자동 과금 정산 방법안태기[안태기]; 김경희[김경희]; 유소영[유소영]10-2020-01574592020-11-2310-22862642021-07-30
2491자갈궤도의 급속개량에 적합하게 사용될 수 있는 콘크리트궤도 시공방법 및 이를 위한 콘크리트슬래브 지지장치와 철도 부설장치강윤석[강윤석]; 방춘석[방춘석]; 이승정[이승정]; 장동두[장동두]; 조영철[조영철]; 방인석[방인석]; 이찬영[이찬영]; 한우진[한우진]; 임상진[임상진]; 권세곤[권세곤]; 김재왕[김재왕]; 최영길[최영길]10-2020-01386672020-10-2310-22127572021-02-01