Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells81
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory546.9 KiB
Average record size in memory56.0 B

Variable types

Text5
DateTime1

Dataset

Description1998년부터 2022년까지 국립종자원에 품종보호 출원된 품종에 대한 목록(출원번호, 출원일자, 작물명, 품종명, 출원인, 공개번호)
URLhttps://www.data.go.kr/data/15050731/fileData.do

Alerts

출원번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:02:53.852166
Analysis finished2023-12-12 08:02:55.349375
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

출원번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:02:55.536759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters140000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st row10-2002-000264
2nd row10-2011-000519
3rd row10-2015-000338
4th row10-2002-000450
5th row10-2002-000337
ValueCountFrequency (%)
10-2002-000264 1
 
< 0.1%
10-2012-000580 1
 
< 0.1%
10-2005-000064 1
 
< 0.1%
10-2001-000144 1
 
< 0.1%
10-2000-000063 1
 
< 0.1%
10-2006-000021 1
 
< 0.1%
10-2010-000355 1
 
< 0.1%
10-2020-000044 1
 
< 0.1%
10-2012-000452 1
 
< 0.1%
10-2021-000214 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-12T17:02:55.969431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 58043
41.5%
1 20365
 
14.5%
- 20000
 
14.3%
2 16195
 
11.6%
3 4412
 
3.2%
4 4202
 
3.0%
5 4098
 
2.9%
9 3360
 
2.4%
6 3288
 
2.3%
8 3070
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120000
85.7%
Dash Punctuation 20000
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58043
48.4%
1 20365
 
17.0%
2 16195
 
13.5%
3 4412
 
3.7%
4 4202
 
3.5%
5 4098
 
3.4%
9 3360
 
2.8%
6 3288
 
2.7%
8 3070
 
2.6%
7 2967
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 140000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 58043
41.5%
1 20365
 
14.5%
- 20000
 
14.3%
2 16195
 
11.6%
3 4412
 
3.2%
4 4202
 
3.0%
5 4098
 
2.9%
9 3360
 
2.4%
6 3288
 
2.3%
8 3070
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 58043
41.5%
1 20365
 
14.5%
- 20000
 
14.3%
2 16195
 
11.6%
3 4412
 
3.2%
4 4202
 
3.0%
5 4098
 
2.9%
9 3360
 
2.4%
6 3288
 
2.3%
8 3070
 
2.2%

출원일자
Date

Distinct2881
Distinct (%)28.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1998-02-24 00:00:00
Maximum2022-12-29 00:00:00
2023-12-12T17:02:56.164846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:02:56.374851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

작물명칭
Text

Distinct458
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:02:56.662360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length2.9897
Min length1

Characters and Unicode

Total characters29897
Distinct characters379
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)1.6%

Sample

1st row국화
2nd row오이
3rd row벼
4th row장미
5th row장미
ValueCountFrequency (%)
장미 1049
 
10.4%
국화 801
 
7.9%
고추 524
 
5.2%
벼 507
 
5.0%
배추 288
 
2.9%
거베라 239
 
2.4%
무 228
 
2.3%
수박 216
 
2.1%
복숭아 211
 
2.1%
콩 205
 
2.0%
Other values (465) 5810
57.7%
2023-12-12T17:02:57.183217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1249
 
4.2%
국 1148
 
3.8%
화 1133
 
3.8%
추 1107
 
3.7%
미 1072
 
3.6%
리 827
 
2.8%
아 737
 
2.5%
수 719
 
2.4%
스 684
 
2.3%
고 658
 
2.2%
Other values (369) 20563
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29016
97.1%
Close Punctuation 352
 
1.2%
Open Punctuation 352
 
1.2%
Space Separator 79
 
0.3%
Other Punctuation 46
 
0.2%
Uppercase Letter 30
 
0.1%
Lowercase Letter 17
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1249
 
4.3%
국 1148
 
4.0%
화 1133
 
3.9%
추 1107
 
3.8%
미 1072
 
3.7%
리 827
 
2.9%
아 737
 
2.5%
수 719
 
2.5%
스 684
 
2.4%
고 658
 
2.3%
Other values (362) 19682
67.8%
Close Punctuation
ValueCountFrequency (%)
) 352
100.0%
Open Punctuation
ValueCountFrequency (%)
( 352
100.0%
Space Separator
ValueCountFrequency (%)
79
100.0%
Other Punctuation
ValueCountFrequency (%)
, 46
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 30
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 17
100.0%
Math Symbol
ValueCountFrequency (%)
× 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29016
97.1%
Common 834
 
2.8%
Latin 47
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1249
 
4.3%
국 1148
 
4.0%
화 1133
 
3.9%
추 1107
 
3.8%
미 1072
 
3.7%
리 827
 
2.9%
아 737
 
2.5%
수 719
 
2.5%
스 684
 
2.4%
고 658
 
2.3%
Other values (362) 19682
67.8%
Common
ValueCountFrequency (%)
) 352
42.2%
( 352
42.2%
79
 
9.5%
, 46
 
5.5%
× 5
 
0.6%
Latin
ValueCountFrequency (%)
X 30
63.8%
x 17
36.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29016
97.1%
ASCII 876
 
2.9%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1249
 
4.3%
국 1148
 
4.0%
화 1133
 
3.9%
추 1107
 
3.8%
미 1072
 
3.7%
리 827
 
2.9%
아 737
 
2.5%
수 719
 
2.5%
스 684
 
2.4%
고 658
 
2.3%
Other values (362) 19682
67.8%
ASCII
ValueCountFrequency (%)
) 352
40.2%
( 352
40.2%
79
 
9.0%
, 46
 
5.3%
X 30
 
3.4%
x 17
 
1.9%
None
ValueCountFrequency (%)
× 5
100.0%

품종명칭
Text

Distinct9152
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:02:57.706294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length4.2424
Min length1

Characters and Unicode

Total characters42424
Distinct characters858
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8515 ?
Unique (%)85.2%

Sample

1st row세이리제
2nd row베테랑
3rd row영보
4th row펙위나
5th row메이반토우
ValueCountFrequency (%)
핑크 10
 
0.1%
1호 10
 
0.1%
케이에스 9
 
0.1%
2호 8
 
0.1%
드리미 8
 
0.1%
레드스타 7
 
0.1%
다미 7
 
0.1%
레드 6
 
0.1%
썬칼 6
 
0.1%
가든 6
 
0.1%
Other values (9188) 10151
99.2%
2023-12-12T17:02:58.397234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1838
 
4.3%
스 1659
 
3.9%
1 1038
 
2.4%
0 871
 
2.1%
리 831
 
2.0%
에 816
 
1.9%
2 712
 
1.7%
드 693
 
1.6%
호 657
 
1.5%
레 587
 
1.4%
Other values (848) 32722
77.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37143
87.6%
Decimal Number 4679
 
11.0%
Space Separator 239
 
0.6%
Dash Punctuation 221
 
0.5%
Uppercase Letter 126
 
0.3%
Lowercase Letter 7
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1838
 
4.9%
스 1659
 
4.5%
리 831
 
2.2%
에 816
 
2.2%
드 693
 
1.9%
호 657
 
1.8%
레 587
 
1.6%
아 545
 
1.5%
트 532
 
1.4%
라 531
 
1.4%
Other values (813) 28454
76.6%
Uppercase Letter
ValueCountFrequency (%)
R 36
28.6%
B 19
15.1%
C 18
14.3%
A 11
 
8.7%
S 9
 
7.1%
K 7
 
5.6%
Y 5
 
4.0%
I 5
 
4.0%
L 5
 
4.0%
W 4
 
3.2%
Other values (4) 7
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 1038
22.2%
0 871
18.6%
2 712
15.2%
3 459
9.8%
5 337
 
7.2%
6 275
 
5.9%
4 266
 
5.7%
9 261
 
5.6%
7 241
 
5.2%
8 219
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
s 2
28.6%
m 2
28.6%
h 1
14.3%
e 1
14.3%
r 1
14.3%
Space Separator
ValueCountFrequency (%)
239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 221
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37137
87.5%
Common 5147
 
12.1%
Latin 134
 
0.3%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1838
 
4.9%
스 1659
 
4.5%
리 831
 
2.2%
에 816
 
2.2%
드 693
 
1.9%
호 657
 
1.8%
레 587
 
1.6%
아 545
 
1.5%
트 532
 
1.4%
라 531
 
1.4%
Other values (807) 28448
76.6%
Latin
ValueCountFrequency (%)
R 36
26.9%
B 19
14.2%
C 18
13.4%
A 11
 
8.2%
S 9
 
6.7%
K 7
 
5.2%
Y 5
 
3.7%
I 5
 
3.7%
L 5
 
3.7%
W 4
 
3.0%
Other values (10) 15
11.2%
Common
ValueCountFrequency (%)
1 1038
20.2%
0 871
16.9%
2 712
13.8%
3 459
8.9%
5 337
 
6.5%
6 275
 
5.3%
4 266
 
5.2%
9 261
 
5.1%
7 241
 
4.7%
239
 
4.6%
Other values (5) 448
8.7%
Han
ValueCountFrequency (%)
翰 1
16.7%
林 1
16.7%
大 1
16.7%
實 1
16.7%
日 1
16.7%
仙 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37137
87.5%
ASCII 5280
 
12.4%
CJK 6
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1838
 
4.9%
스 1659
 
4.5%
리 831
 
2.2%
에 816
 
2.2%
드 693
 
1.9%
호 657
 
1.8%
레 587
 
1.6%
아 545
 
1.5%
트 532
 
1.4%
라 531
 
1.4%
Other values (807) 28448
76.6%
ASCII
ValueCountFrequency (%)
1 1038
19.7%
0 871
16.5%
2 712
13.5%
3 459
8.7%
5 337
 
6.4%
6 275
 
5.2%
4 266
 
5.0%
9 261
 
4.9%
7 241
 
4.6%
239
 
4.5%
Other values (24) 581
11.0%
CJK
ValueCountFrequency (%)
翰 1
16.7%
林 1
16.7%
大 1
16.7%
實 1
16.7%
日 1
16.7%
仙 1
16.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

출원인
Text

Distinct982
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T17:02:58.984249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length8.5706
Min length2

Characters and Unicode

Total characters85706
Distinct characters538
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique433 ?
Unique (%)4.3%

Sample

1st row세이코엥주식회사
2nd row류현정(해오름종묘)
3rd row농촌진흥청
4th row럭스 리비에라 에스알엘
5th row케이세이 로즈 너스리즈 아이엔시
ValueCountFrequency (%)
농촌진흥청 2160
 
13.1%
농업회사법인 1093
 
6.6%
주식회사 485
 
2.9%
경상남도 357
 
2.2%
경기도 354
 
2.1%
산학협력단 330
 
2.0%
주)농우바이오 257
 
1.6%
비.브이 232
 
1.4%
충청남도 210
 
1.3%
아시아종묘(주 197
 
1.2%
Other values (1308) 10839
65.6%
2023-12-12T17:02:59.441853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6548
 
7.6%
농 4301
 
5.0%
이 2507
 
2.9%
청 2443
 
2.9%
진 2261
 
2.6%
흥 2228
 
2.6%
주 2216
 
2.6%
( 2204
 
2.6%
) 2195
 
2.6%
촌 2160
 
2.5%
Other values (528) 56643
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71048
82.9%
Space Separator 6548
 
7.6%
Open Punctuation 2205
 
2.6%
Close Punctuation 2196
 
2.6%
Lowercase Letter 1338
 
1.6%
Other Punctuation 1176
 
1.4%
Uppercase Letter 1088
 
1.3%
Dash Punctuation 88
 
0.1%
Decimal Number 16
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 4301
 
6.1%
이 2507
 
3.5%
청 2443
 
3.4%
진 2261
 
3.2%
흥 2228
 
3.1%
주 2216
 
3.1%
촌 2160
 
3.0%
사 1980
 
2.8%
회 1828
 
2.6%
도 1636
 
2.3%
Other values (465) 47488
66.8%
Lowercase Letter
ValueCountFrequency (%)
e 193
14.4%
n 175
13.1%
l 123
9.2%
i 122
9.1%
a 117
8.7%
r 103
 
7.7%
o 77
 
5.8%
k 65
 
4.9%
z 47
 
3.5%
b 45
 
3.4%
Other values (15) 271
20.3%
Uppercase Letter
ValueCountFrequency (%)
A 103
 
9.5%
O 103
 
9.5%
V 86
 
7.9%
L 79
 
7.3%
B 75
 
6.9%
R 67
 
6.2%
P 61
 
5.6%
F 56
 
5.1%
K 55
 
5.1%
G 54
 
5.0%
Other values (14) 349
32.1%
Other Punctuation
ValueCountFrequency (%)
. 770
65.5%
, 265
 
22.5%
/ 71
 
6.0%
& 38
 
3.2%
· 32
 
2.7%
Open Punctuation
ValueCountFrequency (%)
( 2204
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2195
> 99.9%
] 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 8
50.0%
2 8
50.0%
Space Separator
ValueCountFrequency (%)
6548
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71048
82.9%
Common 12232
 
14.3%
Latin 2426
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 4301
 
6.1%
이 2507
 
3.5%
청 2443
 
3.4%
진 2261
 
3.2%
흥 2228
 
3.1%
주 2216
 
3.1%
촌 2160
 
3.0%
사 1980
 
2.8%
회 1828
 
2.6%
도 1636
 
2.3%
Other values (465) 47488
66.8%
Latin
ValueCountFrequency (%)
e 193
 
8.0%
n 175
 
7.2%
l 123
 
5.1%
i 122
 
5.0%
a 117
 
4.8%
r 103
 
4.2%
A 103
 
4.2%
O 103
 
4.2%
V 86
 
3.5%
L 79
 
3.3%
Other values (39) 1222
50.4%
Common
ValueCountFrequency (%)
6548
53.5%
( 2204
 
18.0%
) 2195
 
17.9%
. 770
 
6.3%
, 265
 
2.2%
- 88
 
0.7%
/ 71
 
0.6%
& 38
 
0.3%
· 32
 
0.3%
1 8
 
0.1%
Other values (4) 13
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71048
82.9%
ASCII 14626
 
17.1%
None 32
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6548
44.8%
( 2204
 
15.1%
) 2195
 
15.0%
. 770
 
5.3%
, 265
 
1.8%
e 193
 
1.3%
n 175
 
1.2%
l 123
 
0.8%
i 122
 
0.8%
a 117
 
0.8%
Other values (52) 1914
 
13.1%
Hangul
ValueCountFrequency (%)
농 4301
 
6.1%
이 2507
 
3.5%
청 2443
 
3.4%
진 2261
 
3.2%
흥 2228
 
3.1%
주 2216
 
3.1%
촌 2160
 
3.0%
사 1980
 
2.8%
회 1828
 
2.6%
도 1636
 
2.3%
Other values (465) 47488
66.8%
None
ValueCountFrequency (%)
· 32
100.0%

공개번호
Text

Distinct9885
Distinct (%)99.7%
Missing81
Missing (%)0.8%
Memory size156.2 KiB
2023-12-12T17:02:59.664320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters138866
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

Unique9851 ?
Unique (%)99.3%

Sample

1st row10-2002-000471
2nd row10-2011-000548
3rd row10-2015-000375
4th row10-2002-000654
5th row10-2002-000544
ValueCountFrequency (%)
10-2009-000351 2
 
< 0.1%
10-2004-000064 2
 
< 0.1%
10-2003-000417 2
 
< 0.1%
10-2003-000365 2
 
< 0.1%
10-2004-000062 2
 
< 0.1%
10-2003-000418 2
 
< 0.1%
10-2004-000073 2
 
< 0.1%
10-1998-000017 2
 
< 0.1%
10-2004-000063 2
 
< 0.1%
10-2004-000072 2
 
< 0.1%
Other values (9875) 9899
99.8%
2023-12-12T17:03:00.027325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 57584
41.5%
1 20192
 
14.5%
- 19838
 
14.3%
2 16078
 
11.6%
3 4389
 
3.2%
4 4161
 
3.0%
5 3929
 
2.8%
9 3357
 
2.4%
6 3356
 
2.4%
8 3057
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 119028
85.7%
Dash Punctuation 19838
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57584
48.4%
1 20192
 
17.0%
2 16078
 
13.5%
3 4389
 
3.7%
4 4161
 
3.5%
5 3929
 
3.3%
9 3357
 
2.8%
6 3356
 
2.8%
8 3057
 
2.6%
7 2925
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 19838
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 138866
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 57584
41.5%
1 20192
 
14.5%
- 19838
 
14.3%
2 16078
 
11.6%
3 4389
 
3.2%
4 4161
 
3.0%
5 3929
 
2.8%
9 3357
 
2.4%
6 3356
 
2.4%
8 3057
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138866
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 57584
41.5%
1 20192
 
14.5%
- 19838
 
14.3%
2 16078
 
11.6%
3 4389
 
3.2%
4 4161
 
3.0%
5 3929
 
2.8%
9 3357
 
2.4%
6 3356
 
2.4%
8 3057
 
2.2%

Missing values

2023-12-12T17:02:55.140193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:02:55.280685image/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

출원번호출원일자작물명칭품종명칭출원인공개번호
1178310-2002-0002642002-06-05국화세이리제세이코엥주식회사10-2002-000471
710910-2011-0005192011-11-14오이베테랑류현정(해오름종묘)10-2011-000548
487710-2015-0003382015-03-30벼영보농촌진흥청10-2015-000375
1159710-2002-0004502002-06-29장미펙위나럭스 리비에라 에스알엘10-2002-000654
1171010-2002-0003372002-06-24장미메이반토우케이세이 로즈 너스리즈 아이엔시10-2002-000544
225110-2019-0001432019-02-27카네이션클레디피18291클렘플러스손10-2019-000217
1245310-1998-0002151998-12-04옥수수튀김옥1호농촌진흥청10-1998-000205
51910-2021-0005612021-12-17벼조강강원대학교 산학협력단10-2022-000025
44310-2022-0000612022-01-24수수하이찰농촌진흥청10-2022-000120
986410-2006-0003232006-11-16장미새색시충청북도10-2006-000362
출원번호출원일자작물명칭품종명칭출원인공개번호
1132110-2003-0001242003-03-17참깨만흑농촌진흥청10-2003-000155
418810-2016-0002702016-04-20라반둘라스토에카스로위2010-05윔베르그스10-2016-000343
299710-2018-0001102018-02-19딸기페탈루마캘리포니아 리젠트 대학10-2018-000180
410510-2016-0003532016-07-21오이남동류현정(해오름종묘)10-2016-000426
886010-2008-0003792008-11-25팔레놉시스디바경기도10-2008-000494
491210-2015-0003032015-03-18피소담직농촌진흥청10-2015-000340
922110-2008-0000182008-01-03장미핑크원김태근10-2008-000104
751610-2011-0001122011-01-25심비디움골드스타농촌진흥청10-2011-000144
389810-2016-0005602016-11-16보리누리맥농촌진흥청10-2016-000634
35610-2022-0001482022-03-15국화골든웨이브경상남도10-2022-000186