Overview

Dataset statistics

Number of variables4
Number of observations530
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.7 KiB
Average record size in memory32.2 B

Variable types

Text3
DateTime1

Dataset

Description한국지식재산연구원에서 수행하는 지식재산관련 기본연구 및 정책연구 자료이며 지식재산 분쟁 현황 조사연구, 지식재산활동 실태조사 등 자료입니다.
URLhttps://www.data.go.kr/data/15090828/fileData.do

Alerts

번호 has unique valuesUnique
인터넷주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:17:37.598143
Analysis finished2023-12-12 02:17:38.178691
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

UNIQUE 

Distinct530
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T11:17:38.545493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters2650
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique530 ?
Unique (%)100.0%

Sample

1st rowR0001
2nd rowR0002
3rd rowR0003
4th rowR0004
5th rowR0005
ValueCountFrequency (%)
r0001 1
 
0.2%
r0587 1
 
0.2%
r0530 1
 
0.2%
r0529 1
 
0.2%
r0528 1
 
0.2%
r0527 1
 
0.2%
r0526 1
 
0.2%
r0525 1
 
0.2%
r0524 1
 
0.2%
r0523 1
 
0.2%
Other values (520) 520
98.1%
2023-12-12T11:17:39.214613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 725
27.4%
R 530
20.0%
2 189
 
7.1%
1 182
 
6.9%
3 172
 
6.5%
4 161
 
6.1%
7 152
 
5.7%
6 150
 
5.7%
5 145
 
5.5%
8 138
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2120
80.0%
Uppercase Letter 530
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 725
34.2%
2 189
 
8.9%
1 182
 
8.6%
3 172
 
8.1%
4 161
 
7.6%
7 152
 
7.2%
6 150
 
7.1%
5 145
 
6.8%
8 138
 
6.5%
9 106
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
R 530
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2120
80.0%
Latin 530
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 725
34.2%
2 189
 
8.9%
1 182
 
8.6%
3 172
 
8.1%
4 161
 
7.6%
7 152
 
7.2%
6 150
 
7.1%
5 145
 
6.8%
8 138
 
6.5%
9 106
 
5.0%
Latin
ValueCountFrequency (%)
R 530
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 725
27.4%
R 530
20.0%
2 189
 
7.1%
1 182
 
6.9%
3 172
 
6.5%
4 161
 
6.1%
7 152
 
5.7%
6 150
 
5.7%
5 145
 
5.5%
8 138
 
5.2%

제목
Text

Distinct524
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T11:17:39.655577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length148
Median length62
Mean length34.637736
Min length10

Characters and Unicode

Total characters18358
Distinct characters426
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique519 ?
Unique (%)97.9%

Sample

1st row[1997년] 특허기술의 사업화 방안
2nd row[1997년] 특허ㆍ실용신안 심사조직 개선 및 심사관 관리방안
3rd row[1997년] 특허심판원의 운영방식에 관한 연구
4th row[1997년] 전자매체에 수록된 산업재산권정보에 대한 저작권문제
5th row[1997년] 상표ㆍ의장보호대상의 확대 및 보호방안
ValueCountFrequency (%)
연구 212
 
5.3%
및 169
 
4.3%
지식재산 155
 
3.9%
98
 
2.5%
위한 87
 
2.2%
관한 71
 
1.8%
분석 53
 
1.3%
방안 44
 
1.1%
2011년 42
 
1.1%
2010년 37
 
0.9%
Other values (1404) 2998
75.6%
2023-12-12T11:17:40.310366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3457
 
18.8%
0 611
 
3.3%
2 465
 
2.5%
지 420
 
2.3%
년 397
 
2.2%
산 392
 
2.1%
재 359
 
2.0%
[ 338
 
1.8%
] 338
 
1.8%
연 332
 
1.8%
Other values (416) 11249
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11684
63.6%
Space Separator 3457
 
18.8%
Decimal Number 1648
 
9.0%
Open Punctuation 403
 
2.2%
Close Punctuation 403
 
2.2%
Uppercase Letter 272
 
1.5%
Lowercase Letter 205
 
1.1%
Dash Punctuation 142
 
0.8%
Other Punctuation 140
 
0.8%
Final Punctuation 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 420
 
3.6%
년 397
 
3.4%
산 392
 
3.4%
재 359
 
3.1%
연 332
 
2.8%
식 329
 
2.8%
구 325
 
2.8%
의 268
 
2.3%
제 260
 
2.2%
한 227
 
1.9%
Other values (347) 8375
71.7%
Lowercase Letter
ValueCountFrequency (%)
e 28
13.7%
t 24
11.7%
o 19
9.3%
n 17
 
8.3%
a 16
 
7.8%
i 14
 
6.8%
s 12
 
5.9%
l 12
 
5.9%
r 11
 
5.4%
c 7
 
3.4%
Other values (12) 45
22.0%
Uppercase Letter
ValueCountFrequency (%)
P 60
22.1%
I 49
18.0%
D 21
 
7.7%
R 18
 
6.6%
C 17
 
6.2%
T 15
 
5.5%
A 13
 
4.8%
S 13
 
4.8%
E 12
 
4.4%
O 11
 
4.0%
Other values (11) 43
15.8%
Decimal Number
ValueCountFrequency (%)
0 611
37.1%
2 465
28.2%
1 292
17.7%
9 71
 
4.3%
4 46
 
2.8%
8 38
 
2.3%
3 37
 
2.2%
5 35
 
2.1%
7 32
 
1.9%
6 21
 
1.3%
Other Punctuation
ValueCountFrequency (%)
: 44
31.4%
· 39
27.9%
? 21
15.0%
, 19
13.6%
& 12
 
8.6%
' 3
 
2.1%
. 2
 
1.4%
Open Punctuation
ValueCountFrequency (%)
[ 338
83.9%
( 65
 
16.1%
Close Punctuation
ValueCountFrequency (%)
] 338
83.9%
) 65
 
16.1%
Space Separator
ValueCountFrequency (%)
3457
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11646
63.4%
Common 6197
33.8%
Latin 477
 
2.6%
Han 38
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 420
 
3.6%
년 397
 
3.4%
산 392
 
3.4%
재 359
 
3.1%
연 332
 
2.9%
식 329
 
2.8%
구 325
 
2.8%
의 268
 
2.3%
제 260
 
2.2%
한 227
 
1.9%
Other values (318) 8337
71.6%
Latin
ValueCountFrequency (%)
P 60
 
12.6%
I 49
 
10.3%
e 28
 
5.9%
t 24
 
5.0%
D 21
 
4.4%
o 19
 
4.0%
R 18
 
3.8%
n 17
 
3.6%
C 17
 
3.6%
a 16
 
3.4%
Other values (33) 208
43.6%
Han
ValueCountFrequency (%)
分 2
 
5.3%
事 2
 
5.3%
業 2
 
5.3%
析 2
 
5.3%
報 2
 
5.3%
情 2
 
5.3%
術 2
 
5.3%
技 2
 
5.3%
方 2
 
5.3%
小 1
 
2.6%
Other values (19) 19
50.0%
Common
ValueCountFrequency (%)
3457
55.8%
0 611
 
9.9%
2 465
 
7.5%
[ 338
 
5.5%
] 338
 
5.5%
1 292
 
4.7%
- 142
 
2.3%
9 71
 
1.1%
) 65
 
1.0%
( 65
 
1.0%
Other values (16) 353
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11631
63.4%
ASCII 6632
36.1%
None 39
 
0.2%
CJK 38
 
0.2%
Compat Jamo 15
 
0.1%
Punctuation 2
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3457
52.1%
0 611
 
9.2%
2 465
 
7.0%
[ 338
 
5.1%
] 338
 
5.1%
1 292
 
4.4%
- 142
 
2.1%
9 71
 
1.1%
) 65
 
1.0%
( 65
 
1.0%
Other values (56) 788
 
11.9%
Hangul
ValueCountFrequency (%)
지 420
 
3.6%
년 397
 
3.4%
산 392
 
3.4%
재 359
 
3.1%
연 332
 
2.9%
식 329
 
2.8%
구 325
 
2.8%
의 268
 
2.3%
제 260
 
2.2%
한 227
 
2.0%
Other values (317) 8322
71.6%
None
ValueCountFrequency (%)
· 39
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 15
100.0%
CJK
ValueCountFrequency (%)
分 2
 
5.3%
事 2
 
5.3%
業 2
 
5.3%
析 2
 
5.3%
報 2
 
5.3%
情 2
 
5.3%
術 2
 
5.3%
技 2
 
5.3%
方 2
 
5.3%
小 1
 
2.6%
Other values (19) 19
50.0%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%

발행일
Date

Distinct189
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
Minimum1997-12-01 00:00:00
Maximum2023-03-31 00:00:00
2023-12-12T11:17:40.477165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:17:40.703835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인터넷주소
Text

UNIQUE 

Distinct530
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2023-12-12T11:17:41.197151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length107
Median length107
Mean length107
Min length107

Characters and Unicode

Total characters56710
Distinct characters36
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique530 ?
Unique (%)100.0%

Sample

1st rowhttps://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0001
2nd rowhttps://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0002
3rd rowhttps://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0003
4th rowhttps://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0004
5th rowhttps://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0005
ValueCountFrequency (%)
https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=r0001 1
 
0.2%
https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=r0587 1
 
0.2%
https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=1&bd_item=0&po_item_gb=rgb_10&po_no=r0530 1
 
0.2%
https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=1&bd_item=0&po_item_gb=rgb_10&po_no=r0529 1
 
0.2%
https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=1&bd_item=0&po_item_gb=rgb_10&po_no=r0528 1
 
0.2%
https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=1&bd_item=0&po_item_gb=rgb_10&po_no=r0527 1
 
0.2%
https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=1&bd_item=0&po_item_gb=rgb_10&po_no=r0526 1
 
0.2%
https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=r0525 1
 
0.2%
https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=r0524 1
 
0.2%
https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=r0523 1
 
0.2%
Other values (520) 520
98.1%
2023-12-12T11:17:41.779875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 4770
 
8.4%
e 4240
 
7.5%
_ 4240
 
7.5%
o 3180
 
5.6%
p 3180
 
5.6%
b 3180
 
5.6%
t 3180
 
5.6%
i 2650
 
4.7%
= 2650
 
4.7%
d 2650
 
4.7%
Other values (26) 22790
40.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 37630
66.4%
Other Punctuation 7420
 
13.1%
Connector Punctuation 4240
 
7.5%
Decimal Number 4240
 
7.5%
Math Symbol 2650
 
4.7%
Uppercase Letter 530
 
0.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 4770
12.7%
e 4240
11.3%
o 3180
8.5%
p 3180
8.5%
b 3180
8.5%
t 3180
8.5%
i 2650
 
7.0%
d 2650
 
7.0%
w 2120
 
5.6%
g 1590
 
4.2%
Other values (8) 6890
18.3%
Decimal Number
ValueCountFrequency (%)
0 1785
42.1%
2 917
21.6%
1 514
 
12.1%
3 172
 
4.1%
4 161
 
3.8%
7 152
 
3.6%
6 150
 
3.5%
5 145
 
3.4%
8 138
 
3.3%
9 106
 
2.5%
Other Punctuation
ValueCountFrequency (%)
& 2120
28.6%
/ 2120
28.6%
. 2120
28.6%
? 530
 
7.1%
: 530
 
7.1%
Connector Punctuation
ValueCountFrequency (%)
_ 4240
100.0%
Math Symbol
ValueCountFrequency (%)
= 2650
100.0%
Uppercase Letter
ValueCountFrequency (%)
R 530
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 38160
67.3%
Common 18550
32.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 4770
12.5%
e 4240
11.1%
o 3180
8.3%
p 3180
8.3%
b 3180
8.3%
t 3180
8.3%
i 2650
 
6.9%
d 2650
 
6.9%
w 2120
 
5.6%
g 1590
 
4.2%
Other values (9) 7420
19.4%
Common
ValueCountFrequency (%)
_ 4240
22.9%
= 2650
14.3%
& 2120
11.4%
/ 2120
11.4%
. 2120
11.4%
0 1785
9.6%
2 917
 
4.9%
? 530
 
2.9%
: 530
 
2.9%
1 514
 
2.8%
Other values (7) 1024
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56710
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 4770
 
8.4%
e 4240
 
7.5%
_ 4240
 
7.5%
o 3180
 
5.6%
p 3180
 
5.6%
b 3180
 
5.6%
t 3180
 
5.6%
i 2650
 
4.7%
= 2650
 
4.7%
d 2650
 
4.7%
Other values (26) 22790
40.2%

Missing values

2023-12-12T11:17:38.013056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:17:38.136117image/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

번호제목발행일인터넷주소
0R0001[1997년] 특허기술의 사업화 방안1997-12-01https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0001
1R0002[1997년] 특허ㆍ실용신안 심사조직 개선 및 심사관 관리방안1997-12-01https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0002
2R0003[1997년] 특허심판원의 운영방식에 관한 연구1997-12-01https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0003
3R0004[1997년] 전자매체에 수록된 산업재산권정보에 대한 저작권문제1997-12-01https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0004
4R0005[1997년] 상표ㆍ의장보호대상의 확대 및 보호방안1997-12-01https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0005
5R0006[1998년] 산업재산권 담보대출제도의 활성화1998-12-01https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0006
6R0007[1998년] 지식재산권의 효율적 관리방안1998-12-01https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0007
7R0008[1998년] 산업재산권 권리자를 보호하기 위한 침해의 구제1998-12-01https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0008
8R0009[1999년] 인터넷 도메인네임과 상표권의 저촉문제1999-12-01https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0009
9R0010[1999년] 지적재산권과 산업표준화 및 반독점법 관계 연구1999-12-01https://www.kiip.re.kr/research_report/view.do?bd_gb=report&bd_cd=2&bd_item=0&po_item_gb=rgb_20&po_no=R0010
번호제목발행일인터넷주소
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