Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells12682
Missing cells (%)15.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory712.9 KiB
Average record size in memory73.0 B

Variable types

Numeric1
Text3
Categorical2
DateTime2

Dataset

Description국방과학연구소의 지식재산권 현황 데이터로 지식재산권 명칭, 출원구분, 출원국, 출원일자 등의 정보 확인이 가능합니다.
Author국방과학연구소
URLhttps://www.data.go.kr/data/15073608/fileData.do

Alerts

출원구분 is highly imbalanced (58.6%)Imbalance
출원국 is highly imbalanced (95.1%)Imbalance
출원일자 has 6341 (63.4%) missing valuesMissing
출원번호 has 6341 (63.4%) missing valuesMissing
순번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-05-04 08:13:15.853674
Analysis finished2024-05-04 08:13:24.519569
Duration8.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7690.4207
Minimum1
Maximum15387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T08:13:24.823150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile778.95
Q13814.75
median7691.5
Q311553.25
95-th percentile14592.1
Maximum15387
Range15386
Interquartile range (IQR)7738.5

Descriptive statistics

Standard deviation4437.087
Coefficient of variation (CV)0.57696285
Kurtosis-1.2074323
Mean7690.4207
Median Absolute Deviation (MAD)3871
Skewness-0.0026046108
Sum76904207
Variance19687741
MonotonicityNot monotonic
2024-05-04T08:13:25.446397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12079 1
 
< 0.1%
1244 1
 
< 0.1%
1844 1
 
< 0.1%
12624 1
 
< 0.1%
12491 1
 
< 0.1%
12625 1
 
< 0.1%
12106 1
 
< 0.1%
12152 1
 
< 0.1%
10894 1
 
< 0.1%
917 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
15387 1
< 0.1%
15384 1
< 0.1%
15383 1
< 0.1%
15382 1
< 0.1%
15381 1
< 0.1%
15379 1
< 0.1%
15378 1
< 0.1%
15376 1
< 0.1%
15375 1
< 0.1%
15374 1
< 0.1%

지식재산권 명칭
Text

Distinct9884
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T08:13:26.476495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length202
Median length95
Mean length27.6258
Min length2

Characters and Unicode

Total characters276258
Distinct characters928
Distinct categories14 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9787 ?
Unique (%)97.9%

Sample

1st row6륜 유무인 차량 주행운용 소프트웨어
2nd row고차 16 및 32 에이피에스케이 진폭위상편이변조방식을 사용하는 다계층 복합무선전송장비의 위성채널 성능분석 시뮬레이션 프로그램
3rd row평가지표 자동 계산 모듈 소프트웨어
4th row원격 씨씨티브이 다채널 출력 소프트웨어
5th row합성 개구면 레이더 영상의 표적 및 인공 클러터 구분법
ValueCountFrequency (%)
프로그램 4018
 
6.0%
및 3148
 
4.7%
방법 1814
 
2.7%
장치 1241
 
1.9%
소프트웨어 1109
 
1.7%
이용한 943
 
1.4%
위한 863
 
1.3%
분석 749
 
1.1%
시스템 705
 
1.1%
기반 511
 
0.8%
Other values (16262) 51782
77.4%
2024-05-04T08:13:28.284637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57227
 
20.7%
프 5917
 
2.1%
이 5805
 
2.1%
로 5342
 
1.9%
그 5113
 
1.9%
램 4355
 
1.6%
기 3922
 
1.4%
시 3561
 
1.3%
및 3166
 
1.1%
의 3165
 
1.1%
Other values (918) 178685
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202900
73.4%
Space Separator 57227
 
20.7%
Uppercase Letter 6977
 
2.5%
Lowercase Letter 4542
 
1.6%
Decimal Number 1778
 
0.6%
Other Punctuation 1125
 
0.4%
Open Punctuation 541
 
0.2%
Close Punctuation 539
 
0.2%
Dash Punctuation 516
 
0.2%
Control 57
 
< 0.1%
Other values (4) 56
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 5917
 
2.9%
이 5805
 
2.9%
로 5342
 
2.6%
그 5113
 
2.5%
램 4355
 
2.1%
기 3922
 
1.9%
시 3561
 
1.8%
및 3166
 
1.6%
의 3165
 
1.6%
용 3138
 
1.5%
Other values (788) 159416
78.6%
Uppercase Letter
ValueCountFrequency (%)
S 706
 
10.1%
A 612
 
8.8%
M 486
 
7.0%
P 456
 
6.5%
D 418
 
6.0%
I 379
 
5.4%
R 377
 
5.4%
T 372
 
5.3%
C 357
 
5.1%
V 348
 
5.0%
Other values (37) 2466
35.3%
Lowercase Letter
ValueCountFrequency (%)
e 659
14.5%
r 546
12.0%
o 392
 
8.6%
i 383
 
8.4%
n 353
 
7.8%
a 353
 
7.8%
t 314
 
6.9%
s 211
 
4.6%
l 176
 
3.9%
m 134
 
3.0%
Other values (33) 1021
22.5%
Decimal Number
ValueCountFrequency (%)
1 476
26.8%
0 445
25.0%
2 271
15.2%
3 237
13.3%
5 107
 
6.0%
4 87
 
4.9%
6 66
 
3.7%
8 35
 
2.0%
7 24
 
1.3%
9 22
 
1.2%
Other values (3) 8
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 458
40.7%
. 430
38.2%
/ 188
16.7%
& 36
 
3.2%
: 5
 
0.4%
; 3
 
0.3%
· 2
 
0.2%
： 1
 
0.1%
* 1
 
0.1%
／ 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 535
98.9%
[ 4
 
0.7%
〔 2
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 533
98.9%
] 4
 
0.7%
〕 2
 
0.4%
Dash Punctuation
ValueCountFrequency (%)
- 514
99.6%
― 1
 
0.2%
－ 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 6
60.0%
× 2
 
20.0%
~ 2
 
20.0%
Space Separator
ValueCountFrequency (%)
57227
100.0%
Control
ValueCountFrequency (%)
57
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 44
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Number
ValueCountFrequency (%)
³ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202891
73.4%
Common 61839
 
22.4%
Latin 11516
 
4.2%
Han 9
 
< 0.1%
Greek 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 5917
 
2.9%
이 5805
 
2.9%
로 5342
 
2.6%
그 5113
 
2.5%
램 4355
 
2.1%
기 3922
 
1.9%
시 3561
 
1.8%
및 3166
 
1.6%
의 3165
 
1.6%
용 3138
 
1.5%
Other values (782) 159407
78.6%
Latin
ValueCountFrequency (%)
S 706
 
6.1%
e 659
 
5.7%
A 612
 
5.3%
r 546
 
4.7%
M 486
 
4.2%
P 456
 
4.0%
D 418
 
3.6%
o 392
 
3.4%
i 383
 
3.3%
I 379
 
3.3%
Other values (77) 6479
56.3%
Common
ValueCountFrequency (%)
57227
92.5%
( 535
 
0.9%
) 533
 
0.9%
- 514
 
0.8%
1 476
 
0.8%
, 458
 
0.7%
0 445
 
0.7%
. 430
 
0.7%
2 271
 
0.4%
3 237
 
0.4%
Other values (30) 713
 
1.2%
Han
ValueCountFrequency (%)
位 2
22.2%
全 2
22.2%
方 2
22.2%
逆 1
11.1%
形 1
11.1%
球 1
11.1%
Greek
ValueCountFrequency (%)
λ 1
33.3%
α 1
33.3%
μ 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202890
73.4%
ASCII 73129
 
26.5%
None 228
 
0.1%
CJK 9
 
< 0.1%
Punctuation 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57227
78.3%
S 706
 
1.0%
e 659
 
0.9%
A 612
 
0.8%
r 546
 
0.7%
( 535
 
0.7%
) 533
 
0.7%
- 514
 
0.7%
M 486
 
0.7%
1 476
 
0.7%
Other values (70) 10835
 
14.8%
Hangul
ValueCountFrequency (%)
프 5917
 
2.9%
이 5805
 
2.9%
로 5342
 
2.6%
그 5113
 
2.5%
램 4355
 
2.1%
기 3922
 
1.9%
시 3561
 
1.8%
및 3166
 
1.6%
의 3165
 
1.6%
용 3138
 
1.5%
Other values (781) 159406
78.6%
None
ValueCountFrequency (%)
Ｓ 19
 
8.3%
Ａ 19
 
8.3%
Ｐ 17
 
7.5%
Ｍ 12
 
5.3%
Ｒ 12
 
5.3%
Ｃ 12
 
5.3%
Ｔ 9
 
3.9%
Ｈ 8
 
3.5%
Ｆ 8
 
3.5%
Ｄ 8
 
3.5%
Other values (39) 104
45.6%
CJK
ValueCountFrequency (%)
位 2
22.2%
全 2
22.2%
方 2
22.2%
逆 1
11.1%
形 1
11.1%
球 1
11.1%
Punctuation
ValueCountFrequency (%)
― 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

출원구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
국내 저작권
6341 
특허
3646 
상표
 
6
디자인
 
5
실용신안
 
2

Length

Max length6
Median length6
Mean length4.5373
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내 저작권 6341
63.4%
특허 3646
36.5%
상표 6
 
0.1%
디자인 5
 
0.1%
실용신안 2
 
< 0.1%

Length

2024-05-04T08:13:28.848835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T08:13:29.279603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 6341
38.8%
저작권 6341
38.8%
특허 3646
22.3%
상표 6
 
< 0.1%
디자인 5
 
< 0.1%
실용신안 2
 
< 0.1%

출원국
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
대한민국
9790 
미국
 
143
프랑스
 
14
일본
 
13
유럽연합
 
10
Other values (9)
 
30

Length

Max length5
Median length4
Mean length3.9623
Min length2

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
대한민국 9790
97.9%
미국 143
 
1.4%
프랑스 14
 
0.1%
일본 13
 
0.1%
유럽연합 10
 
0.1%
영국 9
 
0.1%
호주 5
 
0.1%
터키 5
 
0.1%
독일 5
 
0.1%
이스라엘 2
 
< 0.1%
Other values (4) 4
 
< 0.1%

Length

2024-05-04T08:13:29.756140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한민국 9790
97.9%
미국 143
 
1.4%
프랑스 14
 
0.1%
일본 13
 
0.1%
유럽연합 10
 
0.1%
영국 9
 
0.1%
호주 5
 
< 0.1%
터키 5
 
< 0.1%
독일 5
 
< 0.1%
이스라엘 2
 
< 0.1%
Other values (4) 4
 
< 0.1%

출원일자
Date

MISSING 

Distinct1899
Distinct (%)51.9%
Missing6341
Missing (%)63.4%
Memory size156.2 KiB
Minimum1997-10-10 00:00:00
Maximum2023-09-12 00:00:00
2024-05-04T08:13:30.220212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:13:30.842263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

출원번호
Text

MISSING 

Distinct3651
Distinct (%)99.8%
Missing6341
Missing (%)63.4%
Memory size156.2 KiB
2024-05-04T08:13:31.803976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length14.709757
Min length6

Characters and Unicode

Total characters53823
Distinct characters26
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

Unique3648 ?
Unique (%)99.7%

Sample

1st row10-2019-0164695
2nd row10-2022-0086228
3rd row10-2019-0082830
4th row10-2008-0110227
5th row10-2019-0073693
ValueCountFrequency (%)
us 9
 
0.2%
10767341 5
 
0.1%
12192998.8 4
 
0.1%
10 2
 
0.1%
054 2
 
0.1%
2008 2
 
0.1%
jp 2
 
0.1%
13000002.9 2
 
0.1%
10-2015-0133363 1
 
< 0.1%
10-2017-0106899 1
 
< 0.1%
Other values (3650) 3650
99.2%
2024-05-04T08:13:33.410235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15138
28.1%
1 9825
18.3%
- 6912
12.8%
2 6462
12.0%
4 2199
 
4.1%
5 2198
 
4.1%
6 2194
 
4.1%
7 2179
 
4.0%
3 2177
 
4.0%
9 2151
 
4.0%
Other values (16) 2388
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46558
86.5%
Dash Punctuation 6912
 
12.8%
Other Punctuation 301
 
0.6%
Uppercase Letter 30
 
0.1%
Space Separator 21
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15138
32.5%
1 9825
21.1%
2 6462
13.9%
4 2199
 
4.7%
5 2198
 
4.7%
6 2194
 
4.7%
7 2179
 
4.7%
3 2177
 
4.7%
9 2151
 
4.6%
8 2035
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
S 9
30.0%
U 9
30.0%
P 3
 
10.0%
J 2
 
6.7%
R 2
 
6.7%
T 1
 
3.3%
E 1
 
3.3%
G 1
 
3.3%
B 1
 
3.3%
F 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
/ 156
51.8%
, 121
40.2%
. 24
 
8.0%
Dash Punctuation
ValueCountFrequency (%)
- 6912
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53793
99.9%
Latin 30
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15138
28.1%
1 9825
18.3%
- 6912
12.8%
2 6462
12.0%
4 2199
 
4.1%
5 2198
 
4.1%
6 2194
 
4.1%
7 2179
 
4.1%
3 2177
 
4.0%
9 2151
 
4.0%
Other values (6) 2358
 
4.4%
Latin
ValueCountFrequency (%)
S 9
30.0%
U 9
30.0%
P 3
 
10.0%
J 2
 
6.7%
R 2
 
6.7%
T 1
 
3.3%
E 1
 
3.3%
G 1
 
3.3%
B 1
 
3.3%
F 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53823
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15138
28.1%
1 9825
18.3%
- 6912
12.8%
2 6462
12.0%
4 2199
 
4.1%
5 2198
 
4.1%
6 2194
 
4.1%
7 2179
 
4.0%
3 2177
 
4.0%
9 2151
 
4.0%
Other values (16) 2388
 
4.4%

등록일자
Date

Distinct2186
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1993-05-15 00:00:00
Maximum2023-12-29 00:00:00
2024-05-04T08:13:34.153236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:13:35.203698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T08:13:35.938900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length12.6301
Min length6

Characters and Unicode

Total characters126301
Distinct characters31
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowC-2012-023579
2nd rowC-2022-056971
3rd rowC-2020-049990
4th rowC-2019-009813
5th row10-2223078
ValueCountFrequency (%)
us 143
 
1.4%
fr 14
 
0.1%
jp 13
 
0.1%
ep 10
 
0.1%
gb 8
 
0.1%
de 5
 
< 0.1%
tr 5
 
< 0.1%
au 5
 
< 0.1%
2653822 3
 
< 0.1%
60 3
 
< 0.1%
Other values (10014) 10020
98.0%
2024-05-04T08:13:37.110647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26026
20.6%
1 19821
15.7%
- 17835
14.1%
2 16965
13.4%
9 6868
 
5.4%
3 6384
 
5.1%
4 5857
 
4.6%
5 5514
 
4.4%
8 5276
 
4.2%
7 5212
 
4.1%
Other values (21) 10543
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 102844
81.4%
Dash Punctuation 17835
 
14.1%
Uppercase Letter 5067
 
4.0%
Other Punctuation 326
 
0.3%
Space Separator 229
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 4644
91.7%
U 148
 
2.9%
S 145
 
2.9%
P 24
 
0.5%
R 19
 
0.4%
E 15
 
0.3%
F 14
 
0.3%
J 13
 
0.3%
B 10
 
0.2%
G 9
 
0.2%
Other values (7) 26
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 26026
25.3%
1 19821
19.3%
2 16965
16.5%
9 6868
 
6.7%
3 6384
 
6.2%
4 5857
 
5.7%
5 5514
 
5.4%
8 5276
 
5.1%
7 5212
 
5.1%
6 4921
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 322
98.8%
. 4
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 17835
100.0%
Space Separator
ValueCountFrequency (%)
229
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 121234
96.0%
Latin 5067
 
4.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 4644
91.7%
U 148
 
2.9%
S 145
 
2.9%
P 24
 
0.5%
R 19
 
0.4%
E 15
 
0.3%
F 14
 
0.3%
J 13
 
0.3%
B 10
 
0.2%
G 9
 
0.2%
Other values (7) 26
 
0.5%
Common
ValueCountFrequency (%)
0 26026
21.5%
1 19821
16.3%
- 17835
14.7%
2 16965
14.0%
9 6868
 
5.7%
3 6384
 
5.3%
4 5857
 
4.8%
5 5514
 
4.5%
8 5276
 
4.4%
7 5212
 
4.3%
Other values (4) 5476
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 126301
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26026
20.6%
1 19821
15.7%
- 17835
14.1%
2 16965
13.4%
9 6868
 
5.4%
3 6384
 
5.1%
4 5857
 
4.6%
5 5514
 
4.4%
8 5276
 
4.2%
7 5212
 
4.1%
Other values (21) 10543
8.3%

Interactions

2024-05-04T08:13:22.824780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T08:13:37.392799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번출원구분출원국
순번1.0000.8180.337
출원구분0.8181.0000.171
출원국0.3370.1711.000
2024-05-04T08:13:37.635494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
출원국출원구분
출원국1.0000.090
출원구분0.0901.000
2024-05-04T08:13:38.082924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번출원구분출원국
순번1.0000.4770.143
출원구분0.4771.0000.090
출원국0.1430.0901.000

Missing values

2024-05-04T08:13:23.337490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T08:13:23.816179image/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.
2024-05-04T08:13:24.250306image/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

순번지식재산권 명칭출원구분출원국출원일자출원번호등록일자등록번호
12078120796륜 유무인 차량 주행운용 소프트웨어국내 저작권대한민국<NA><NA>2012-11-27C-2012-023579
61856186고차 16 및 32 에이피에스케이 진폭위상편이변조방식을 사용하는 다계층 복합무선전송장비의 위성채널 성능분석 시뮬레이션 프로그램국내 저작권대한민국<NA><NA>2022-12-27C-2022-056971
72307231평가지표 자동 계산 모듈 소프트웨어국내 저작권대한민국<NA><NA>2020-12-15C-2020-049990
84278428원격 씨씨티브이 다채널 출력 소프트웨어국내 저작권대한민국<NA><NA>2019-04-08C-2019-009813
11941195합성 개구면 레이더 영상의 표적 및 인공 클러터 구분법특허대한민국2019-12-1110-2019-01646952021-02-2510-2223078
1121111212영상을 이용한 교사학습기반 지형분류 프로그램국내 저작권대한민국<NA><NA>2014-12-30C-2014-034279
364365사이버 공세적 대응 방책 추천 장치 및 방법특허대한민국2022-07-1310-2022-00862282023-02-0310-2497865
72197220대잠탐지소나 설계를 위한 시간반복 고차 유한차분법 기반 다채널 시계열신호 모의 프로그램국내 저작권대한민국<NA><NA>2020-12-15C-2020-050001
87678768적응적 경로대안 분석 시뮬레이션 프로그램국내 저작권대한민국<NA><NA>2018-08-28C-2018-022235
1514515146고주파 펄스열 신호에 대한 잡음인가 프로그램국내 저작권대한민국<NA><NA>1999-07-1599-01-12-3248
순번지식재산권 명칭출원구분출원국출원일자출원번호등록일자등록번호
71977198염수분무 시편 시험 전후 이미지 비교프로그램국내 저작권대한민국<NA><NA>2021-02-01C-2021-004811
64716472강화학습 연동모듈국내 저작권대한민국<NA><NA>2022-08-01C-2022-030005
1051110512한반도 공역작도 프로그램국내 저작권대한민국<NA><NA>2016-03-30C-2016-007820
35223523멀티계층 아키텍처 기반의 분산 전장 모의 실험 관리 시스템특허대한민국2014-07-1010-2014-00869502016-06-0310-1629270
98769877우주 공중망 기동 통신망 운용에 따른 효과도 분석용 위성단말 장비 프로그램국내 저작권대한민국<NA><NA>2017-03-22C-2017-007236
1238512386KM434 탄약신관 안전상태 자동검사 프로그램국내 저작권대한민국<NA><NA>2012-06-05C-2012-010984
96059606사이버 시뮬레이션 결과 가시화 도구국내 저작권대한민국<NA><NA>2017-06-29C-2017-015211
96539654스마트폰을 이용한 원격측정장치 소프트웨어국내 저작권대한민국<NA><NA>2017-06-29C-2017-015163
1347813479오일러각 변환을 사용한 방향탐지 정확도 예측 프로그램국내 저작권대한민국<NA><NA>2009-11-242009-01-121-006473
1276112762울산-I급 전투체계용 전자광학추적장비 연동통제장치 연동통제 프로그램국내 저작권대한민국<NA><NA>2011-09-302011-01-199-006092