Overview

Dataset statistics

Number of variables8
Number of observations649
Missing cells304
Missing cells (%)5.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory40.7 KiB
Average record size in memory64.2 B

Variable types

Categorical2
Text4
DateTime2

Dataset

Description한국가스공사 지식재산권(특허(P), 실용신안(U), 디자인(D), 컴퓨터프로그램(C)) 보유현황 데이터로, 지식재산권별 출원번호, 출원일, 출원인, 등록번호, 등록일에 대한 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15040897/fileData.do

Alerts

국가코드 is highly imbalanced (69.8%)Imbalance
출원번호 has 152 (23.4%) missing valuesMissing
출원일자(PCT국내진입일) has 152 (23.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 06:27:49.425090
Analysis finished2023-12-12 06:27:50.369852
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

국가코드
Categorical

IMBALANCE 

Distinct11
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
KR
551 
US
 
27
CN
 
21
JP
 
12
EP
 
12
Other values (6)
 
26

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KR 551
84.9%
US 27
 
4.2%
CN 21
 
3.2%
JP 12
 
1.8%
EP 12
 
1.8%
AU 10
 
1.5%
MY 5
 
0.8%
ID 4
 
0.6%
CA 3
 
0.5%
IN 2
 
0.3%

Length

2023-12-12T15:27:50.435968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
kr 551
84.9%
us 27
 
4.2%
cn 21
 
3.2%
jp 12
 
1.8%
ep 12
 
1.8%
au 10
 
1.5%
my 5
 
0.8%
id 4
 
0.6%
ca 3
 
0.5%
in 2
 
0.3%

권리구분
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
특허
463 
컴퓨터프로그램저작물
152 
실용신안
 
17
디자인
 
17

Length

Max length10
Median length2
Mean length3.9522342
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
특허 463
71.3%
컴퓨터프로그램저작물 152
 
23.4%
실용신안 17
 
2.6%
디자인 17
 
2.6%

Length

2023-12-12T15:27:50.581611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:27:50.738178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특허 463
71.3%
컴퓨터프로그램저작물 152
 
23.4%
실용신안 17
 
2.6%
디자인 17
 
2.6%

발명의명칭
Text

Distinct573
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-12T15:27:51.125025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length183
Median length105
Mean length29.713405
Min length3

Characters and Unicode

Total characters19284
Distinct characters505
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique533 ?
Unique (%)82.1%

Sample

1st row원격검침 시스템을 위한 데이터 무선송출 기능을 갖는데이터 로거 장치
2nd row경질 폴리우레탄 폼 조성물 및 이를 이용한 보냉재
3rd row경질 폴리우레탄 폼 조성물 및 이를 이용한 보냉재
4th row배관의 결함에 대한 디씨브이지 및 씨아이피에스 검측을동시에 수행할 수 있는 디씨브이지-씨아이피에스 겸용배관 검측 장치
5th row탄화수소로부터 합성가스를 제조하는 방법 및 그 시스템
ValueCountFrequency (%)
및 161
 
4.1%
방법 88
 
2.2%
장치 79
 
2.0%
프로그램 66
 
1.7%
이용한 65
 
1.6%
시스템 64
 
1.6%
for 56
 
1.4%
천연가스 46
 
1.2%
이를 46
 
1.2%
lng 46
 
1.2%
Other values (1433) 3244
81.9%
2023-12-12T15:27:51.818884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3421
 
17.7%
e 359
 
1.9%
스 352
 
1.8%
r 342
 
1.8%
a 340
 
1.8%
이 298
 
1.5%
o 291
 
1.5%
t 277
 
1.4%
s 269
 
1.4%
가 259
 
1.3%
Other values (495) 13076
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9195
47.7%
Lowercase Letter 3655
 
19.0%
Space Separator 3421
 
17.7%
Uppercase Letter 2557
 
13.3%
Decimal Number 123
 
0.6%
Other Punctuation 95
 
0.5%
Close Punctuation 87
 
0.5%
Open Punctuation 87
 
0.5%
Dash Punctuation 58
 
0.3%
Letter Number 2
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 352
 
3.8%
이 298
 
3.2%
가 259
 
2.8%
용 231
 
2.5%
장 210
 
2.3%
방 198
 
2.2%
의 172
 
1.9%
법 166
 
1.8%
및 165
 
1.8%
치 154
 
1.7%
Other values (411) 6990
76.0%
Uppercase Letter
ValueCountFrequency (%)
N 231
 
9.0%
A 221
 
8.6%
S 197
 
7.7%
T 178
 
7.0%
O 173
 
6.8%
R 168
 
6.6%
G 151
 
5.9%
E 146
 
5.7%
I 139
 
5.4%
P 137
 
5.4%
Other values (24) 816
31.9%
Lowercase Letter
ValueCountFrequency (%)
e 359
 
9.8%
r 342
 
9.4%
a 340
 
9.3%
o 291
 
8.0%
t 277
 
7.6%
s 269
 
7.4%
n 257
 
7.0%
i 252
 
6.9%
u 136
 
3.7%
c 130
 
3.6%
Other values (18) 1002
27.4%
Decimal Number
ValueCountFrequency (%)
0 46
37.4%
1 39
31.7%
2 22
17.9%
3 6
 
4.9%
9 5
 
4.1%
4 3
 
2.4%
5 2
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 56
58.9%
, 29
30.5%
/ 5
 
5.3%
% 3
 
3.2%
· 1
 
1.1%
／ 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 57
98.3%
― 1
 
1.7%
Other Number
ValueCountFrequency (%)
₃ 1
50.0%
₂ 1
50.0%
Space Separator
ValueCountFrequency (%)
3421
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9195
47.7%
Latin 6214
32.2%
Common 3875
20.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 352
 
3.8%
이 298
 
3.2%
가 259
 
2.8%
용 231
 
2.5%
장 210
 
2.3%
방 198
 
2.2%
의 172
 
1.9%
법 166
 
1.8%
및 165
 
1.8%
치 154
 
1.7%
Other values (411) 6990
76.0%
Latin
ValueCountFrequency (%)
e 359
 
5.8%
r 342
 
5.5%
a 340
 
5.5%
o 291
 
4.7%
t 277
 
4.5%
s 269
 
4.3%
n 257
 
4.1%
i 252
 
4.1%
N 231
 
3.7%
A 221
 
3.6%
Other values (53) 3375
54.3%
Common
ValueCountFrequency (%)
3421
88.3%
) 87
 
2.2%
( 87
 
2.2%
- 57
 
1.5%
. 56
 
1.4%
0 46
 
1.2%
1 39
 
1.0%
, 29
 
0.7%
2 22
 
0.6%
3 6
 
0.2%
Other values (11) 25
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10047
52.1%
Hangul 9195
47.7%
None 39
 
0.2%
Number Forms 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3421
34.0%
e 359
 
3.6%
r 342
 
3.4%
a 340
 
3.4%
o 291
 
2.9%
t 277
 
2.8%
s 269
 
2.7%
n 257
 
2.6%
i 252
 
2.5%
N 231
 
2.3%
Other values (57) 4008
39.9%
Hangul
ValueCountFrequency (%)
스 352
 
3.8%
이 298
 
3.2%
가 259
 
2.8%
용 231
 
2.5%
장 210
 
2.3%
방 198
 
2.2%
의 172
 
1.9%
법 166
 
1.8%
및 165
 
1.8%
치 154
 
1.7%
Other values (411) 6990
76.0%
None
ValueCountFrequency (%)
Ｇ 8
20.5%
Ｎ 8
20.5%
Ｌ 8
20.5%
Ｍ 2
 
5.1%
Ｏ 2
 
5.1%
ｙ 2
 
5.1%
· 1
 
2.6%
Ｅ 1
 
2.6%
Ｄ 1
 
2.6%
／ 1
 
2.6%
Other values (5) 5
12.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
100.0%
Punctuation
ValueCountFrequency (%)
― 1
100.0%

출원번호
Text

MISSING 

Distinct492
Distinct (%)99.0%
Missing152
Missing (%)23.4%
Memory size5.2 KiB
2023-12-12T15:27:52.130553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length14.132797
Min length7

Characters and Unicode

Total characters7024
Distinct characters22
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

Unique490 ?
Unique (%)98.6%

Sample

1st row10-2002-0070117
2nd row10-2003-0017125
3rd row10-2003-0017127
4th row10-2003-0026551
5th row10-2003-0063741
ValueCountFrequency (%)
2.02e+11 5
 
1.0%
pi 5
 
1.0%
2008-705005 2
 
0.4%
17/230866 1
 
0.2%
10-2020-7024175 1
 
0.2%
10-2020-0015872 1
 
0.2%
10-2020-0002980 1
 
0.2%
10-2019-0178204 1
 
0.2%
10-2019-0178203 1
 
0.2%
10-2019-0178728 1
 
0.2%
Other values (483) 483
96.2%
2023-12-12T15:27:52.644619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1947
27.7%
1 1207
17.2%
2 852
12.1%
- 840
12.0%
7 327
 
4.7%
5 326
 
4.6%
8 321
 
4.6%
3 316
 
4.5%
4 296
 
4.2%
9 258
 
3.7%
Other values (12) 334
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6105
86.9%
Dash Punctuation 840
 
12.0%
Other Punctuation 39
 
0.6%
Uppercase Letter 28
 
0.4%
Math Symbol 6
 
0.1%
Space Separator 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1947
31.9%
1 1207
19.8%
2 852
14.0%
7 327
 
5.4%
5 326
 
5.3%
8 321
 
5.3%
3 316
 
5.2%
4 296
 
4.8%
9 258
 
4.2%
6 255
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
P 9
32.1%
E 6
21.4%
I 6
21.4%
K 2
 
7.1%
O 2
 
7.1%
L 2
 
7.1%
D 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
/ 31
79.5%
. 8
 
20.5%
Dash Punctuation
ValueCountFrequency (%)
- 840
100.0%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6996
99.6%
Latin 28
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1947
27.8%
1 1207
17.3%
2 852
12.2%
- 840
12.0%
7 327
 
4.7%
5 326
 
4.7%
8 321
 
4.6%
3 316
 
4.5%
4 296
 
4.2%
9 258
 
3.7%
Other values (5) 306
 
4.4%
Latin
ValueCountFrequency (%)
P 9
32.1%
E 6
21.4%
I 6
21.4%
K 2
 
7.1%
O 2
 
7.1%
L 2
 
7.1%
D 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1947
27.7%
1 1207
17.2%
2 852
12.1%
- 840
12.0%
7 327
 
4.7%
5 326
 
4.6%
8 321
 
4.6%
3 316
 
4.5%
4 296
 
4.2%
9 258
 
3.7%
Other values (12) 334
 
4.8%

출원일자(PCT국내진입일)
Date

MISSING 

Distinct326
Distinct (%)65.6%
Missing152
Missing (%)23.4%
Memory size5.2 KiB
Minimum2002-04-23 00:00:00
Maximum2022-09-16 00:00:00
2023-12-12T15:27:52.848247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:27:53.028796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

출원인
Text

Distinct79
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-12T15:27:53.323334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length208
Median length6
Mean length14.191063
Min length6

Characters and Unicode

Total characters9210
Distinct characters188
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)8.2%

Sample

1st row한국가스공사
2nd row한국가스공사
3rd row한국가스공사
4th row한국가스공사
5th row한국가스공사 | 주식회사두합크린텍
ValueCountFrequency (%)
한국가스공사 616
38.6%
236
 
14.8%
주식회사 70
 
4.4%
연구개발원 60
 
3.8%
co 52
 
3.3%
ltd 52
 
3.3%
korea 42
 
2.6%
corporation 23
 
1.4%
gas 17
 
1.1%
engineering 15
 
0.9%
Other values (100) 414
25.9%
2023-12-12T15:27:54.148513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
951
 
10.3%
사 734
 
8.0%
국 671
 
7.3%
한 668
 
7.3%
스 659
 
7.2%
공 651
 
7.1%
가 639
 
6.9%
| 233
 
2.5%
o 224
 
2.4%
n 161
 
1.7%
Other values (178) 3619
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5452
59.2%
Lowercase Letter 1602
 
17.4%
Space Separator 951
 
10.3%
Uppercase Letter 762
 
8.3%
Math Symbol 233
 
2.5%
Other Punctuation 151
 
1.6%
Close Punctuation 18
 
0.2%
Open Punctuation 18
 
0.2%
Decimal Number 14
 
0.2%
Other Symbol 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 734
13.5%
국 671
12.3%
한 668
12.3%
스 659
12.1%
공 651
11.9%
가 639
11.7%
주 103
 
1.9%
회 86
 
1.6%
식 85
 
1.6%
구 84
 
1.5%
Other values (123) 1072
19.7%
Uppercase Letter
ValueCountFrequency (%)
C 109
14.3%
I 71
9.3%
O 66
 
8.7%
L 61
 
8.0%
K 54
 
7.1%
T 51
 
6.7%
N 51
 
6.7%
D 43
 
5.6%
E 43
 
5.6%
R 42
 
5.5%
Other values (13) 171
22.4%
Lowercase Letter
ValueCountFrequency (%)
o 224
14.0%
n 161
10.0%
a 156
9.7%
i 150
9.4%
e 145
9.1%
t 139
8.7%
r 123
7.7%
l 73
 
4.6%
d 68
 
4.2%
s 60
 
3.7%
Other values (12) 303
18.9%
Other Punctuation
ValueCountFrequency (%)
. 99
65.6%
, 43
28.5%
& 9
 
6.0%
Space Separator
ValueCountFrequency (%)
951
100.0%
Math Symbol
ValueCountFrequency (%)
| 233
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Decimal Number
ValueCountFrequency (%)
1 14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5460
59.3%
Latin 2364
25.7%
Common 1386
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 734
13.4%
국 671
12.3%
한 668
12.2%
스 659
12.1%
공 651
11.9%
가 639
11.7%
주 103
 
1.9%
회 86
 
1.6%
식 85
 
1.6%
구 84
 
1.5%
Other values (124) 1080
19.8%
Latin
ValueCountFrequency (%)
o 224
 
9.5%
n 161
 
6.8%
a 156
 
6.6%
i 150
 
6.3%
e 145
 
6.1%
t 139
 
5.9%
r 123
 
5.2%
C 109
 
4.6%
l 73
 
3.1%
I 71
 
3.0%
Other values (35) 1013
42.9%
Common
ValueCountFrequency (%)
951
68.6%
| 233
 
16.8%
. 99
 
7.1%
, 43
 
3.1%
) 18
 
1.3%
( 18
 
1.3%
1 14
 
1.0%
& 9
 
0.6%
- 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5452
59.2%
ASCII 3750
40.7%
None 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
951
25.4%
| 233
 
6.2%
o 224
 
6.0%
n 161
 
4.3%
a 156
 
4.2%
i 150
 
4.0%
e 145
 
3.9%
t 139
 
3.7%
r 123
 
3.3%
C 109
 
2.9%
Other values (44) 1359
36.2%
Hangul
ValueCountFrequency (%)
사 734
13.5%
국 671
12.3%
한 668
12.3%
스 659
12.1%
공 651
11.9%
가 639
11.7%
주 103
 
1.9%
회 86
 
1.6%
식 85
 
1.6%
구 84
 
1.5%
Other values (123) 1072
19.7%
None
ValueCountFrequency (%)
㈜ 8
100.0%

등록번호
Text

Distinct648
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-12-12T15:27:54.476580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length10.506934
Min length6

Characters and Unicode

Total characters6819
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique647 ?
Unique (%)99.7%

Sample

1st row10-0496142
2nd row10-0507847
3rd row10-0585531
4th row10-0522162
5th row10-0570375
ValueCountFrequency (%)
s-2008-010239 2
 
0.3%
0 2
 
0.3%
idp 2
 
0.3%
s-2000-009128 1
 
0.2%
s-2000-000258 1
 
0.2%
s-1998-006503 1
 
0.2%
s-1999-000663 1
 
0.2%
s-1999-000664 1
 
0.2%
s-1999-000979 1
 
0.2%
s-1999-000980 1
 
0.2%
Other values (642) 642
98.0%
2023-12-12T15:27:55.015960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1356
19.9%
1 1168
17.1%
- 712
10.4%
2 641
9.4%
9 465
 
6.8%
3 416
 
6.1%
8 386
 
5.7%
4 384
 
5.6%
5 376
 
5.5%
6 369
 
5.4%
Other values (13) 546
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5901
86.5%
Dash Punctuation 712
 
10.4%
Uppercase Letter 192
 
2.8%
Other Punctuation 7
 
0.1%
Space Separator 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1356
23.0%
1 1168
19.8%
2 641
10.9%
9 465
 
7.9%
3 416
 
7.0%
8 386
 
6.5%
4 384
 
6.5%
5 376
 
6.4%
6 369
 
6.3%
7 340
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
S 118
61.5%
C 34
 
17.7%
Z 7
 
3.6%
L 7
 
3.6%
M 5
 
2.6%
Y 5
 
2.6%
A 4
 
2.1%
I 4
 
2.1%
D 4
 
2.1%
P 4
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 712
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6627
97.2%
Latin 192
 
2.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1356
20.5%
1 1168
17.6%
- 712
10.7%
2 641
9.7%
9 465
 
7.0%
3 416
 
6.3%
8 386
 
5.8%
4 384
 
5.8%
5 376
 
5.7%
6 369
 
5.6%
Other values (3) 354
 
5.3%
Latin
ValueCountFrequency (%)
S 118
61.5%
C 34
 
17.7%
Z 7
 
3.6%
L 7
 
3.6%
M 5
 
2.6%
Y 5
 
2.6%
A 4
 
2.1%
I 4
 
2.1%
D 4
 
2.1%
P 4
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6819
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1356
19.9%
1 1168
17.1%
- 712
10.4%
2 641
9.4%
9 465
 
6.8%
3 416
 
6.1%
8 386
 
5.7%
4 384
 
5.6%
5 376
 
5.5%
6 369
 
5.4%
Other values (13) 546
8.0%

등록일자
Date

Distinct471
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
Minimum1992-01-11 00:00:00
Maximum2023-06-27 00:00:00
2023-12-12T15:27:55.222305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:27:55.403331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-12T15:27:55.524838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
국가코드권리구분출원인
국가코드1.0000.1520.000
권리구분0.1521.0000.735
출원인0.0000.7351.000
2023-12-12T15:27:55.645205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
국가코드권리구분
국가코드1.0000.092
권리구분0.0921.000
2023-12-12T15:27:55.747731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
국가코드권리구분
국가코드1.0000.092
권리구분0.0921.000

Missing values

2023-12-12T15:27:50.020282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:27:50.185786image/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.
2023-12-12T15:27:50.309253image/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

국가코드권리구분발명의명칭출원번호출원일자(PCT국내진입일)출원인등록번호등록일자
0KR특허원격검침 시스템을 위한 데이터 무선송출 기능을 갖는데이터 로거 장치10-2002-00701172002-11-12한국가스공사10-04961422005-06-09
1KR특허경질 폴리우레탄 폼 조성물 및 이를 이용한 보냉재10-2003-00171252003-03-19한국가스공사10-05078472005-08-03
2KR특허경질 폴리우레탄 폼 조성물 및 이를 이용한 보냉재10-2003-00171272003-03-19한국가스공사10-05855312006-05-24
3KR특허배관의 결함에 대한 디씨브이지 및 씨아이피에스 검측을동시에 수행할 수 있는 디씨브이지-씨아이피에스 겸용배관 검측 장치10-2003-00265512003-04-26한국가스공사10-05221622005-10-10
4KR특허탄화수소로부터 합성가스를 제조하는 방법 및 그 시스템10-2003-00637412003-09-15한국가스공사 | 주식회사두합크린텍10-05703752006-04-05
5KR특허합성가스로부터 디메틸에테르를 제조하는 방법10-2003-00637422003-09-15한국가스공사 | 삼성엔지니어링 주식회사 | 주식회사두합크린텍10-05730552006-04-14
6KR특허철근콘크리트 구조물의 열화인자 침투 모니터링 시스템10-2003-00701522003-10-09한국가스공사 | 사단법인 한국구조물진단학회10-05393802005-12-21
7KR특허마이크로웨이브 플라즈마 반응기를 이용한 카본블랙 및수소의 제조공정10-2003-00806052003-11-14한국가스공사10-05835002006-05-18
8KR특허디메틸에테르 제조용 촉매, 이의 제조방법 및 이를 이용한디메틸에테르 제조방법10-2004-00194392004-03-22한국가스공사10-05889482006-06-05
9KR특허디메틸에테르 제조용 고체산 촉매 및 이를 이용한디메틸에테르의 제조방법10-2004-00194342004-03-22한국가스공사10-05889492006-06-05
국가코드권리구분발명의명칭출원번호출원일자(PCT국내진입일)출원인등록번호등록일자
639US특허METHOD FOR CALCULATING PERMEABILITY OF POROUS MEDIUM BY USING ANALYSIS OF FRICTION FLOW CHARACTERISTIC VARIABLE IN POROUS MEDIUM (다공성 매질 내의 마찰유동 특성변수 해석을 이용한 다공성 매질의 투과도 산출방법)16/3449422019-04-25한국가스공사109212322021-02-16
640CN특허컨테이너 운송선박2.02E+112019-02-27한국가스공사ZL201780052907.42021-08-03
641CN특허배관 검사 장치 및 그 동작방법2.02E+112020-06-22한국가스공사ZL201880083267.82021-12-07
642CN특허자기 누설 피그2.02E+112020-06-22한국가스공사ZL201880083195.72022-02-22
643AU특허수소 저장 시스템 및 그의 제조 방법20202336082020-02-21한국가스공사20202336082022-10-20
644JP특허수소 저장 시스템 및 그의 제조 방법2020-5513682020-09-18한국가스공사71486282022-09-27
645US특허컨테이너 운송선박17/2308662021-04-14한국가스공사113521002022-06-07
646CN특허Rigid urethane foam and method for manufacturing same2.02E+112021-12-22한국가스공사ZL202080045941.02023-05-16
647CN특허내조의 인양이 가능한 액화 가스 탱크 및 액화 가스 탱크에서 내조의 인양 방법2.02E+112021-11-24한국가스공사ZL201780088250.72023-06-27
648AU특허경질 우레탄 폼 및 이의 제조방법20203054902021-11-30한국가스공사20203054902023-02-23