Overview

Dataset statistics

Number of variables7
Number of observations9234
Missing cells0
Missing cells (%)0.0%
Duplicate rows3
Duplicate rows (%)< 0.1%
Total size in memory505.1 KiB
Average record size in memory56.0 B

Variable types

Categorical2
Text4
DateTime1

Dataset

Description한국원자력연구원_보유 지식재산권 목록 데이터 입니다. 데이터 칼럼 리스트는 권리유형명, 국가, 출원일, 등록번호, 등록일, 발명명칭 입니다.(한국원자력연구원에서 출원하여 보유하고 있는 특허등의 지식재산권목록)
Author한국원자력연구원
URLhttps://www.data.go.kr/data/3073564/fileData.do

Alerts

Dataset has 3 (< 0.1%) duplicate rowsDuplicates
권리유형명 is highly imbalanced (55.8%)Imbalance
국가 is highly imbalanced (82.5%)Imbalance

Reproduction

Analysis started2023-12-11 23:33:10.242750
Analysis finished2023-12-11 23:33:11.678958
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

권리유형명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
발명특허
5242 
프로그램
3796 
실용신안
 
96
상표
 
49
품종보호권
 
48

Length

Max length5
Median length4
Mean length3.9942603
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row발명특허
2nd row실용신안
3rd row발명특허
4th row발명특허
5th row발명특허

Common Values

ValueCountFrequency (%)
발명특허 5242
56.8%
프로그램 3796
41.1%
실용신안 96
 
1.0%
상표 49
 
0.5%
품종보호권 48
 
0.5%
디자인 3
 
< 0.1%

Length

2023-12-12T08:33:11.756299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:33:11.873819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발명특허 5242
56.8%
프로그램 3796
41.1%
실용신안 96
 
1.0%
상표 49
 
0.5%
품종보호권 48
 
0.5%
디자인 3
 
< 0.1%

국가
Categorical

IMBALANCE 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
대한민국
8158 
미국
 
417
일본
 
207
프랑스
 
109
중국
 
107
Other values (25)
 
236

Length

Max length9
Median length4
Mean length3.8149231
Min length2

Unique

Unique6 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
대한민국 8158
88.3%
미국 417
 
4.5%
일본 207
 
2.2%
프랑스 109
 
1.2%
중국 107
 
1.2%
유럽특허청 49
 
0.5%
독일 40
 
0.4%
영국 34
 
0.4%
캐나다 27
 
0.3%
사우디 18
 
0.2%
Other values (20) 68
 
0.7%

Length

2023-12-12T08:33:11.985054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한민국 8158
88.3%
미국 417
 
4.5%
일본 207
 
2.2%
프랑스 109
 
1.2%
중국 107
 
1.2%
유럽특허청 49
 
0.5%
독일 40
 
0.4%
영국 34
 
0.4%
캐나다 27
 
0.3%
사우디 18
 
0.2%
Other values (21) 70
 
0.8%
Distinct5285
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
2023-12-12T08:33:12.163194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length9.8551007
Min length6

Characters and Unicode

Total characters91002
Distinct characters35
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5238 ?
Unique (%)56.7%

Sample

1st row1982-0004531
2nd row1983-0003634
3rd row1983-0003036
4th row1983-0003483
5th row1983-0006277
ValueCountFrequency (%)
출원번호없음 3796
41.0%
2.01e+11 49
 
0.5%
2.02e+11 23
 
0.2%
1996-00400493 7
 
0.1%
3027870.9 5
 
0.1%
16853956.7 5
 
0.1%
1.02e+11 5
 
0.1%
2001-201703 4
 
< 0.1%
7113739.2 4
 
< 0.1%
10194471.8 4
 
< 0.1%
Other values (5284) 5347
57.8%
2023-12-12T08:33:12.477979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19105
21.0%
1 10320
11.3%
2 8093
 
8.9%
- 6508
 
7.2%
9 4021
 
4.4%
3799
 
4.2%
3799
 
4.2%
3796
 
4.2%
3796
 
4.2%
3796
 
4.2%
Other values (25) 23969
26.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60842
66.9%
Other Letter 22782
 
25.0%
Dash Punctuation 6508
 
7.2%
Other Punctuation 663
 
0.7%
Uppercase Letter 110
 
0.1%
Math Symbol 81
 
0.1%
Space Separator 15
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 83
75.5%
F 5
 
4.5%
R 5
 
4.5%
P 5
 
4.5%
X 3
 
2.7%
I 2
 
1.8%
D 2
 
1.8%
L 1
 
0.9%
A 1
 
0.9%
O 1
 
0.9%
Other values (2) 2
 
1.8%
Decimal Number
ValueCountFrequency (%)
0 19105
31.4%
1 10320
17.0%
2 8093
13.3%
9 4021
 
6.6%
3 3382
 
5.6%
4 3374
 
5.5%
5 3257
 
5.4%
8 3135
 
5.2%
7 3080
 
5.1%
6 3075
 
5.1%
Other Letter
ValueCountFrequency (%)
3799
16.7%
3799
16.7%
3796
16.7%
3796
16.7%
3796
16.7%
3796
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 418
63.0%
. 172
25.9%
, 73
 
11.0%
Dash Punctuation
ValueCountFrequency (%)
- 6508
100.0%
Math Symbol
ValueCountFrequency (%)
+ 81
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 68109
74.8%
Hangul 22782
 
25.0%
Latin 111
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19105
28.1%
1 10320
15.2%
2 8093
11.9%
- 6508
 
9.6%
9 4021
 
5.9%
3 3382
 
5.0%
4 3374
 
5.0%
5 3257
 
4.8%
8 3135
 
4.6%
7 3080
 
4.5%
Other values (6) 3834
 
5.6%
Latin
ValueCountFrequency (%)
E 83
74.8%
F 5
 
4.5%
R 5
 
4.5%
P 5
 
4.5%
X 3
 
2.7%
I 2
 
1.8%
D 2
 
1.8%
L 1
 
0.9%
A 1
 
0.9%
O 1
 
0.9%
Other values (3) 3
 
2.7%
Hangul
ValueCountFrequency (%)
3799
16.7%
3799
16.7%
3796
16.7%
3796
16.7%
3796
16.7%
3796
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68220
75.0%
Hangul 22782
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19105
28.0%
1 10320
15.1%
2 8093
11.9%
- 6508
 
9.5%
9 4021
 
5.9%
3 3382
 
5.0%
4 3374
 
4.9%
5 3257
 
4.8%
8 3135
 
4.6%
7 3080
 
4.5%
Other values (19) 3945
 
5.8%
Hangul
ValueCountFrequency (%)
3799
16.7%
3799
16.7%
3796
16.7%
3796
16.7%
3796
16.7%
3796
16.7%
Distinct3066
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
2023-12-12T08:33:12.718744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length7.9445527
Min length5

Characters and Unicode

Total characters73360
Distinct characters16
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1763 ?
Unique (%)19.1%

Sample

1st row1982-10-08
2nd row1983-04-25
3rd row1983-07-04
4th row1983-07-27
5th row1983-12-29
ValueCountFrequency (%)
출원일없음 3796
41.1%
2013-12-31 12
 
0.1%
1996-03-08 11
 
0.1%
2007-11-06 11
 
0.1%
2011-12-29 10
 
0.1%
1996-03-06 9
 
0.1%
2018-10-24 9
 
0.1%
2002-03-26 8
 
0.1%
2020-05-13 8
 
0.1%
1997-12-26 8
 
0.1%
Other values (3056) 5352
58.0%
2023-12-12T08:33:13.149698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13397
18.3%
- 10876
14.8%
2 9154
12.5%
1 8847
12.1%
3796
 
5.2%
3796
 
5.2%
3796
 
5.2%
3796
 
5.2%
3796
 
5.2%
9 2660
 
3.6%
Other values (6) 9446
12.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43504
59.3%
Other Letter 18980
25.9%
Dash Punctuation 10876
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13397
30.8%
2 9154
21.0%
1 8847
20.3%
9 2660
 
6.1%
3 1908
 
4.4%
8 1707
 
3.9%
7 1502
 
3.5%
4 1490
 
3.4%
6 1476
 
3.4%
5 1363
 
3.1%
Other Letter
ValueCountFrequency (%)
3796
20.0%
3796
20.0%
3796
20.0%
3796
20.0%
3796
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 10876
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54380
74.1%
Hangul 18980
 
25.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13397
24.6%
- 10876
20.0%
2 9154
16.8%
1 8847
16.3%
9 2660
 
4.9%
3 1908
 
3.5%
8 1707
 
3.1%
7 1502
 
2.8%
4 1490
 
2.7%
6 1476
 
2.7%
Hangul
ValueCountFrequency (%)
3796
20.0%
3796
20.0%
3796
20.0%
3796
20.0%
3796
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54380
74.1%
Hangul 18980
 
25.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13397
24.6%
- 10876
20.0%
2 9154
16.8%
1 8847
16.3%
9 2660
 
4.9%
3 1908
 
3.5%
8 1707
 
3.1%
7 1502
 
2.8%
4 1490
 
2.7%
6 1476
 
2.7%
Hangul
ValueCountFrequency (%)
3796
20.0%
3796
20.0%
3796
20.0%
3796
20.0%
3796
20.0%
Distinct9111
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
2023-12-12T08:33:13.429516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length10.775504
Min length3

Characters and Unicode

Total characters99501
Distinct characters41
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9041 ?
Unique (%)97.9%

Sample

1st row20967
2nd row27633
3rd row19043
4th row20185
5th row19958
ValueCountFrequency (%)
730871 9
 
0.1%
zl 7
 
0.1%
sa 6
 
0.1%
1466608 5
 
0.1%
730873 5
 
0.1%
1.02e+11 5
 
0.1%
2320139 5
 
0.1%
1256634 5
 
0.1%
1797904 4
 
< 0.1%
1997532 4
 
< 0.1%
Other values (9109) 9198
99.4%
2023-12-12T08:33:13.873133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18126
18.2%
1 16519
16.6%
2 12502
12.6%
- 12023
12.1%
9 6210
 
6.2%
3 5713
 
5.7%
5 5505
 
5.5%
4 5484
 
5.5%
8 5339
 
5.4%
7 5122
 
5.1%
Other values (31) 6958
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 85513
85.9%
Dash Punctuation 12023
 
12.1%
Uppercase Letter 1776
 
1.8%
Other Punctuation 129
 
0.1%
Other Letter 22
 
< 0.1%
Space Separator 19
 
< 0.1%
Math Symbol 14
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 1496
84.2%
Z 102
 
5.7%
L 102
 
5.7%
E 14
 
0.8%
A 10
 
0.6%
X 8
 
0.5%
R 6
 
0.3%
S 6
 
0.3%
I 5
 
0.3%
B 5
 
0.3%
Other values (9) 22
 
1.2%
Decimal Number
ValueCountFrequency (%)
0 18126
21.2%
1 16519
19.3%
2 12502
14.6%
9 6210
 
7.3%
3 5713
 
6.7%
5 5505
 
6.4%
4 5484
 
6.4%
8 5339
 
6.2%
7 5122
 
6.0%
6 4993
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
x 1
20.0%
u 1
20.0%
p 1
20.0%
a 1
20.0%
c 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 127
98.4%
/ 2
 
1.6%
Other Letter
ValueCountFrequency (%)
11
50.0%
11
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 12023
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Math Symbol
ValueCountFrequency (%)
+ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 97698
98.2%
Latin 1781
 
1.8%
Hangul 22
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 1496
84.0%
Z 102
 
5.7%
L 102
 
5.7%
E 14
 
0.8%
A 10
 
0.6%
X 8
 
0.4%
R 6
 
0.3%
S 6
 
0.3%
I 5
 
0.3%
B 5
 
0.3%
Other values (14) 27
 
1.5%
Common
ValueCountFrequency (%)
0 18126
18.6%
1 16519
16.9%
2 12502
12.8%
- 12023
12.3%
9 6210
 
6.4%
3 5713
 
5.8%
5 5505
 
5.6%
4 5484
 
5.6%
8 5339
 
5.5%
7 5122
 
5.2%
Other values (5) 5155
 
5.3%
Hangul
ValueCountFrequency (%)
11
50.0%
11
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99479
> 99.9%
Hangul 22
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18126
18.2%
1 16519
16.6%
2 12502
12.6%
- 12023
12.1%
9 6210
 
6.2%
3 5713
 
5.7%
5 5505
 
5.5%
4 5484
 
5.5%
8 5339
 
5.4%
7 5122
 
5.1%
Other values (29) 6936
 
7.0%
Hangul
ValueCountFrequency (%)
11
50.0%
11
50.0%
Distinct3432
Distinct (%)37.2%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
Minimum1985-01-09 00:00:00
Maximum2023-08-01 00:00:00
2023-12-12T08:33:14.077162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:33:14.250360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct8090
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size72.3 KiB
2023-12-12T08:33:14.581517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length236
Median length102
Mean length27.78016
Min length2

Characters and Unicode

Total characters256522
Distinct characters971
Distinct categories16 ?
Distinct scripts5 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7521 ?
Unique (%)81.4%

Sample

1st row인삼분말체의 멸균 저장법
2nd row4불화 우라늄 (UF₄) 제조 장치의 분사노즐
3rd rowAUC 제조공정의 폐수에서 우라늄 회수법
4th row인삼잎에서 사폰인의 추출법
5th row고성능 공기여과기의 제조방법
ValueCountFrequency (%)
2547
 
4.4%
방법 1711
 
2.9%
이용한 1246
 
2.1%
프로그램 1158
 
2.0%
장치 1151
 
2.0%
제조 622
 
1.1%
위한 563
 
1.0%
시스템 405
 
0.7%
395
 
0.7%
이를 392
 
0.7%
Other values (15994) 48165
82.5%
2023-12-12T08:33:15.065006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49192
 
19.2%
5048
 
2.0%
4225
 
1.6%
3673
 
1.4%
3181
 
1.2%
2952
 
1.2%
2930
 
1.1%
2800
 
1.1%
2795
 
1.1%
2696
 
1.1%
Other values (961) 177030
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164242
64.0%
Space Separator 49192
 
19.2%
Uppercase Letter 18084
 
7.0%
Lowercase Letter 16513
 
6.4%
Decimal Number 3135
 
1.2%
Other Punctuation 1811
 
0.7%
Dash Punctuation 1423
 
0.6%
Open Punctuation 940
 
0.4%
Close Punctuation 936
 
0.4%
Connector Punctuation 199
 
0.1%
Other values (6) 47
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5048
 
3.1%
4225
 
2.6%
3673
 
2.2%
3181
 
1.9%
2952
 
1.8%
2930
 
1.8%
2800
 
1.7%
2795
 
1.7%
2696
 
1.6%
2570
 
1.6%
Other values (811) 131372
80.0%
Uppercase Letter
ValueCountFrequency (%)
S 1742
 
9.6%
A 1694
 
9.4%
C 1466
 
8.1%
P 1277
 
7.1%
R 1230
 
6.8%
T 1018
 
5.6%
E 1017
 
5.6%
M 1016
 
5.6%
I 997
 
5.5%
O 899
 
5.0%
Other values (42) 5728
31.7%
Lowercase Letter
ValueCountFrequency (%)
e 2038
12.3%
r 1608
9.7%
a 1446
 
8.8%
o 1423
 
8.6%
i 1391
 
8.4%
n 1189
 
7.2%
t 1177
 
7.1%
l 898
 
5.4%
s 838
 
5.1%
c 646
 
3.9%
Other values (37) 3859
23.4%
Decimal Number
ValueCountFrequency (%)
1 868
27.7%
0 859
27.4%
2 572
18.2%
3 325
 
10.4%
4 127
 
4.1%
5 101
 
3.2%
9 99
 
3.2%
6 87
 
2.8%
8 39
 
1.2%
7 34
 
1.1%
Other values (5) 24
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 1085
59.9%
, 369
 
20.4%
/ 254
 
14.0%
: 32
 
1.8%
& 29
 
1.6%
· 19
 
1.0%
; 12
 
0.7%
5
 
0.3%
2
 
0.1%
" 2
 
0.1%
Other values (2) 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 928
98.7%
[ 9
 
1.0%
2
 
0.2%
1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 924
98.7%
] 9
 
1.0%
2
 
0.2%
1
 
0.1%
Other Number
ValueCountFrequency (%)
20
74.1%
4
 
14.8%
2
 
7.4%
1
 
3.7%
Math Symbol
ValueCountFrequency (%)
+ 14
87.5%
= 1
 
6.2%
< 1
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 1421
99.9%
2
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 183
92.0%
_ 16
 
8.0%
Space Separator
ValueCountFrequency (%)
49192
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164237
64.0%
Common 57682
 
22.5%
Latin 34586
 
13.5%
Greek 12
 
< 0.1%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5048
 
3.1%
4225
 
2.6%
3673
 
2.2%
3181
 
1.9%
2952
 
1.8%
2930
 
1.8%
2800
 
1.7%
2795
 
1.7%
2696
 
1.6%
2570
 
1.6%
Other values (808) 131367
80.0%
Latin
ValueCountFrequency (%)
e 2038
 
5.9%
S 1742
 
5.0%
A 1694
 
4.9%
r 1608
 
4.6%
C 1466
 
4.2%
a 1446
 
4.2%
o 1423
 
4.1%
i 1391
 
4.0%
P 1277
 
3.7%
R 1230
 
3.6%
Other values (86) 19271
55.7%
Common
ValueCountFrequency (%)
49192
85.3%
- 1421
 
2.5%
. 1085
 
1.9%
( 928
 
1.6%
) 924
 
1.6%
1 868
 
1.5%
0 859
 
1.5%
2 572
 
1.0%
, 369
 
0.6%
3 325
 
0.6%
Other values (40) 1139
 
2.0%
Greek
ValueCountFrequency (%)
α 9
75.0%
Υ 1
 
8.3%
β 1
 
8.3%
γ 1
 
8.3%
Han
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164235
64.0%
ASCII 91812
35.8%
None 463
 
0.2%
CJK 5
 
< 0.1%
Punctuation 4
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49192
53.6%
e 2038
 
2.2%
S 1742
 
1.9%
A 1694
 
1.8%
r 1608
 
1.8%
C 1466
 
1.6%
a 1446
 
1.6%
o 1423
 
1.5%
- 1421
 
1.5%
i 1391
 
1.5%
Other values (70) 28391
30.9%
Hangul
ValueCountFrequency (%)
5048
 
3.1%
4225
 
2.6%
3673
 
2.2%
3181
 
1.9%
2952
 
1.8%
2930
 
1.8%
2800
 
1.7%
2795
 
1.7%
2696
 
1.6%
2570
 
1.6%
Other values (807) 131365
80.0%
None
ValueCountFrequency (%)
31
 
6.7%
29
 
6.3%
27
 
5.8%
20
 
4.3%
20
 
4.3%
· 19
 
4.1%
18
 
3.9%
_ 16
 
3.5%
16
 
3.5%
16
 
3.5%
Other values (56) 251
54.2%
CJK
ValueCountFrequency (%)
3
60.0%
1
 
20.0%
1
 
20.0%
Punctuation
ValueCountFrequency (%)
2
50.0%
1
25.0%
1
25.0%
Compat Jamo
ValueCountFrequency (%)
2
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

Correlations

2023-12-12T08:33:15.151044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
권리유형명국가
권리유형명1.0000.308
국가0.3081.000
2023-12-12T08:33:15.232275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
권리유형명국가
권리유형명1.0000.129
국가0.1291.000
2023-12-12T08:33:15.308490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
권리유형명국가
권리유형명1.0000.129
국가0.1291.000

Missing values

2023-12-12T08:33:11.447870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:33:11.596782image/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

권리유형명국가출원번호출원일등록번호등록일발명명칭
0발명특허대한민국1982-00045311982-10-08209671986-03-26인삼분말체의 멸균 저장법
1실용신안대한민국1983-00036341983-04-25276331985-01-094불화 우라늄 (UF₄) 제조 장치의 분사노즐
2발명특허대한민국1983-00030361983-07-04190431985-03-18AUC 제조공정의 폐수에서 우라늄 회수법
3발명특허대한민국1983-00034831983-07-27201851985-10-25인삼잎에서 사폰인의 추출법
4발명특허대한민국1983-00062771983-12-29199581985-09-09고성능 공기여과기의 제조방법
5발명특허대한민국1984-00138651984-05-01459601991-11-12건어물 장기안전 저장방법
6발명특허대한민국1984-00142981984-05-14450901991-10-14식균류등의 양송이배양기 처리방법
7발명특허대한민국1984-00066121984-10-24229821987-03-04액체정량 급액장치
8발명특허대한민국1985-00015451985-03-12252571988-05-11맥동 용매 추출탑의 충전물 설치 방법
9발명특허대한민국1985-00049581985-07-11245121987-11-16수직 이송용 컨베이어의 물품이송대
권리유형명국가출원번호출원일등록번호등록일발명명칭
9224프로그램대한민국출원번호없음출원일없음C-2023-0309312023-07-24음향 신호 취득 및 음향 신호 특징 추출 프로그램
9225프로그램대한민국출원번호없음출원일없음C-2023-0300962023-07-17방사성 동위원소 저마늄-68 분리/정제를 위한 원격 제어 프로그램
9226프로그램대한민국출원번호없음출원일없음C-2023-0300952023-07-17시계열 데이터 리포트 작성 자동화 프로그램
9227프로그램대한민국출원번호없음출원일없음C-2023-0300942023-07-17디바이디드바 장비 내 정상상태 판정 및 열전도도 계산 프로그램
9228프로그램대한민국출원번호없음출원일없음C-2023-0300972023-07-17터빈 테스트베드 설계 최적화 프로그램
9229프로그램대한민국출원번호없음출원일없음C-2023-0300982023-07-17사이클로트론 진공시스템 프로그램
9230프로그램대한민국출원번호없음출원일없음C-2023-0309882023-07-24사이클로트론 모니터링 프로그램
9231프로그램대한민국출원번호없음출원일없음C-2023-0300992023-07-17사이클로트론 빔운전일지 자동생성 프로그램
9232프로그램대한민국출원번호없음출원일없음C-2023-0309892023-07-24사이클로트론 빔전류 모니터링 프로그램
9233프로그램대한민국출원번호없음출원일없음C-2023-0301002023-07-17APPSPP (Axial Power Profile Selector Program for Plate Fuel) 1.0.3; 판형핵연료 축방향출력분포 선정 프로그램 1.0.3

Duplicate rows

Most frequently occurring

권리유형명국가출원번호출원일등록번호등록일발명명칭# duplicates
0발명특허프랑스9165395.62009-07-1422468612013-05-06원자로 비상노심냉각수 주입용 냉각덕트2
1프로그램대한민국출원번호없음출원일없음99-01-12-42661999-09-08APERSA2
2프로그램대한민국출원번호없음출원일없음C-2021-0289562021-07-20저에너지 전자가속기 구동 프로그램 개발2