Overview

Dataset statistics

Number of variables7
Number of observations1703
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory94.9 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Text4
DateTime2

Dataset

Description한국식품연구원에서 보유하고 있는 특허 성과물 현황(발명의 명칭, 출원번호, 출원일자, 등록번호, 등록일자 등)
URLhttps://www.data.go.kr/data/15052127/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:25:17.710226
Analysis finished2023-12-12 02:25:18.668672
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1703
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean852
Minimum1
Maximum1703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2023-12-12T11:25:18.750709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile86.1
Q1426.5
median852
Q31277.5
95-th percentile1617.9
Maximum1703
Range1702
Interquartile range (IQR)851

Descriptive statistics

Standard deviation491.75807
Coefficient of variation (CV)0.57718083
Kurtosis-1.2
Mean852
Median Absolute Deviation (MAD)426
Skewness0
Sum1450956
Variance241826
MonotonicityStrictly increasing
2023-12-12T11:25:18.907042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1145 1
 
0.1%
1143 1
 
0.1%
1142 1
 
0.1%
1141 1
 
0.1%
1140 1
 
0.1%
1139 1
 
0.1%
1138 1
 
0.1%
1137 1
 
0.1%
1136 1
 
0.1%
Other values (1693) 1693
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 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%
ValueCountFrequency (%)
1703 1
0.1%
1702 1
0.1%
1701 1
0.1%
1700 1
0.1%
1699 1
0.1%
1698 1
0.1%
1697 1
0.1%
1696 1
0.1%
1695 1
0.1%
1694 1
0.1%

출원 및 등록명칭(한글)
Text

Distinct1616
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2023-12-12T11:25:19.263309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length219
Median length123
Mean length35.916618
Min length5

Characters and Unicode

Total characters61166
Distinct characters769
Distinct categories11 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1551 ?
Unique (%)91.1%

Sample

1st row진세노사이드 Rf 진세노사이드 Rf를 포함하는 진세노사이드 조성물 또는 이들 중 어느 하나 이상의 혼합물을 유효성분으로 포함하는 근기능 개선용 조성물
2nd row왕불유행 추출물을 유효성분으로 포함하는 조성물
3rd row백수오 조다당 추출물을 유효성분으로 함유하는 대장염의 예방 개선 및 치료용 조성물
4th row수은의 신속 간편 육안 현장 진단을 위한 페이퍼 기반 비색 센서 키트 및 이를 이용한 수은의 신속 간편 육안 현장 검출 방법
5th row채소분말을 이용한 간소시지 및 이의 제조방법
ValueCountFrequency (%)
및 935
 
6.5%
제조방법 551
 
3.8%
조성물 441
 
3.1%
또는 328
 
2.3%
이용한 317
 
2.2%
포함하는 308
 
2.1%
방법 260
 
1.8%
이의 235
 
1.6%
예방 189
 
1.3%
추출물을 174
 
1.2%
Other values (4053) 10680
74.1%
2023-12-12T11:25:19.749429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12736
 
20.8%
조 1467
 
2.4%
이 1350
 
2.2%
방 1257
 
2.1%
의 1146
 
1.9%
성 1136
 
1.9%
제 1103
 
1.8%
용 1034
 
1.7%
법 1033
 
1.7%
는 1012
 
1.7%
Other values (759) 37892
61.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41871
68.5%
Space Separator 12736
 
20.8%
Lowercase Letter 4179
 
6.8%
Uppercase Letter 1444
 
2.4%
Decimal Number 488
 
0.8%
Dash Punctuation 206
 
0.3%
Open Punctuation 107
 
0.2%
Close Punctuation 105
 
0.2%
Other Punctuation 26
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 1467
 
3.5%
이 1350
 
3.2%
방 1257
 
3.0%
의 1146
 
2.7%
성 1136
 
2.7%
제 1103
 
2.6%
용 1034
 
2.5%
법 1033
 
2.5%
는 1012
 
2.4%
물 1003
 
2.4%
Other values (647) 30330
72.4%
Lowercase Letter
ValueCountFrequency (%)
i 411
 
9.8%
e 370
 
8.9%
a 345
 
8.3%
o 340
 
8.1%
r 312
 
7.5%
t 301
 
7.2%
s 272
 
6.5%
n 270
 
6.5%
c 194
 
4.6%
l 169
 
4.0%
Other values (36) 1195
28.6%
Uppercase Letter
ValueCountFrequency (%)
A 117
 
8.1%
C 109
 
7.5%
P 104
 
7.2%
R 102
 
7.1%
T 94
 
6.5%
E 87
 
6.0%
I 87
 
6.0%
O 81
 
5.6%
M 78
 
5.4%
S 67
 
4.6%
Other values (31) 518
35.9%
Decimal Number
ValueCountFrequency (%)
1 130
26.6%
2 88
18.0%
3 48
 
9.8%
0 42
 
8.6%
4 36
 
7.4%
5 35
 
7.2%
6 35
 
7.2%
8 33
 
6.8%
7 25
 
5.1%
9 14
 
2.9%
Other values (2) 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 14
53.8%
/ 9
34.6%
: 2
 
7.7%
? 1
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 205
99.5%
－ 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 76
71.0%
{ 31
29.0%
Close Punctuation
ValueCountFrequency (%)
) 76
72.4%
} 29
 
27.6%
Space Separator
ValueCountFrequency (%)
12736
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 3
100.0%
Math Symbol
ValueCountFrequency (%)
→ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41864
68.4%
Common 13672
 
22.4%
Latin 5618
 
9.2%
Han 7
 
< 0.1%
Greek 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 1467
 
3.5%
이 1350
 
3.2%
방 1257
 
3.0%
의 1146
 
2.7%
성 1136
 
2.7%
제 1103
 
2.6%
용 1034
 
2.5%
법 1033
 
2.5%
는 1012
 
2.4%
물 1003
 
2.4%
Other values (640) 30323
72.4%
Latin
ValueCountFrequency (%)
i 411
 
7.3%
e 370
 
6.6%
a 345
 
6.1%
o 340
 
6.1%
r 312
 
5.6%
t 301
 
5.4%
s 272
 
4.8%
n 270
 
4.8%
c 194
 
3.5%
l 169
 
3.0%
Other values (75) 2634
46.9%
Common
ValueCountFrequency (%)
12736
93.2%
- 205
 
1.5%
1 130
 
1.0%
2 88
 
0.6%
( 76
 
0.6%
) 76
 
0.6%
3 48
 
0.4%
0 42
 
0.3%
4 36
 
0.3%
5 35
 
0.3%
Other values (15) 200
 
1.5%
Han
ValueCountFrequency (%)
炊 1
14.3%
飯 1
14.3%
湯 1
14.3%
補 1
14.3%
大 1
14.3%
全 1
14.3%
十 1
14.3%
Greek
ValueCountFrequency (%)
α 3
60.0%
β 2
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41864
68.4%
ASCII 19152
31.3%
None 139
 
0.2%
CJK 7
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12736
66.5%
i 411
 
2.1%
e 370
 
1.9%
a 345
 
1.8%
o 340
 
1.8%
r 312
 
1.6%
t 301
 
1.6%
s 272
 
1.4%
n 270
 
1.4%
- 205
 
1.1%
Other values (62) 3590
 
18.7%
Hangul
ValueCountFrequency (%)
조 1467
 
3.5%
이 1350
 
3.2%
방 1257
 
3.0%
의 1146
 
2.7%
성 1136
 
2.7%
제 1103
 
2.6%
용 1034
 
2.5%
법 1033
 
2.5%
는 1012
 
2.4%
물 1003
 
2.4%
Other values (640) 30323
72.4%
None
ValueCountFrequency (%)
ｈ 25
18.0%
Ｔ 24
17.3%
Ｍ 9
 
6.5%
Ａ 8
 
5.8%
ｉ 6
 
4.3%
ｏ 5
 
3.6%
ｃ 5
 
3.6%
Ｋ 4
 
2.9%
ｍ 4
 
2.9%
ｓ 3
 
2.2%
Other values (28) 46
33.1%
Letterlike Symbols
ValueCountFrequency (%)
℃ 3
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
CJK
ValueCountFrequency (%)
炊 1
14.3%
飯 1
14.3%
湯 1
14.3%
補 1
14.3%
大 1
14.3%
全 1
14.3%
十 1
14.3%

출원번호
Text

Distinct1690
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2023-12-12T11:25:20.348033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length14.790957
Min length8

Characters and Unicode

Total characters25189
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1681 ?
Unique (%)98.7%

Sample

1st row10-2020-0140963
2nd row10-2017-0132768
3rd row10-2017-0143381
4th row16/958797
5th row10-2017-0151549
ValueCountFrequency (%)
10-1998-0045659 5
 
0.3%
13861063.9 3
 
0.2%
10-2004-0077952 2
 
0.1%
10-2003-0058811 2
 
0.1%
10-2004-0031505 2
 
0.1%
10-2002-0004844 2
 
0.1%
10-2003-0023178 2
 
0.1%
10-2011-0031383 2
 
0.1%
10-2002-0016924 2
 
0.1%
10-2010-0019351 1
 
0.1%
Other values (1680) 1680
98.6%
2023-12-12T11:25:20.813499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7497
29.8%
1 4444
17.6%
- 3281
13.0%
2 2745
 
10.9%
3 1127
 
4.5%
9 1104
 
4.4%
6 1037
 
4.1%
4 1029
 
4.1%
7 984
 
3.9%
5 961
 
3.8%
Other values (8) 980
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21862
86.8%
Dash Punctuation 3281
 
13.0%
Other Punctuation 41
 
0.2%
Uppercase Letter 5
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7497
34.3%
1 4444
20.3%
2 2745
 
12.6%
3 1127
 
5.2%
9 1104
 
5.0%
6 1037
 
4.7%
4 1029
 
4.7%
7 984
 
4.5%
5 961
 
4.4%
8 934
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
P 1
20.0%
C 1
20.0%
T 1
20.0%
K 1
20.0%
R 1
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 32
78.0%
. 9
 
22.0%
Dash Punctuation
ValueCountFrequency (%)
- 3281
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25184
> 99.9%
Latin 5
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7497
29.8%
1 4444
17.6%
- 3281
13.0%
2 2745
 
10.9%
3 1127
 
4.5%
9 1104
 
4.4%
6 1037
 
4.1%
4 1029
 
4.1%
7 984
 
3.9%
5 961
 
3.8%
Other values (3) 975
 
3.9%
Latin
ValueCountFrequency (%)
P 1
20.0%
C 1
20.0%
T 1
20.0%
K 1
20.0%
R 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25189
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7497
29.8%
1 4444
17.6%
- 3281
13.0%
2 2745
 
10.9%
3 1127
 
4.5%
9 1104
 
4.4%
6 1037
 
4.1%
4 1029
 
4.1%
7 984
 
3.9%
5 961
 
3.8%
Other values (8) 980
 
3.9%

출원일자
Date

Distinct1150
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
Minimum1990-12-20 00:00:00
Maximum2021-10-13 00:00:00
2023-12-12T11:25:20.975294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:25:21.149924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록번호
Text

Distinct1688
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2023-12-12T11:25:21.458653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length9.9348209
Min length6

Characters and Unicode

Total characters16919
Distinct characters17
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

Unique1677 ?
Unique (%)98.5%

Sample

1st row10-2483300
2nd row10-2480927
3rd row10-2477899
4th row11519023
5th row10-2468495
ValueCountFrequency (%)
10-0296790 5
 
0.3%
2929888 3
 
0.2%
10-1302121 2
 
0.1%
10-0456131 2
 
0.1%
10-0588521 2
 
0.1%
10-1386231 2
 
0.1%
10-0440209 2
 
0.1%
10-0548505 2
 
0.1%
10-0747098 2
 
0.1%
10-0498828 2
 
0.1%
Other values (1685) 1686
98.6%
2023-12-12T11:25:21.944971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3666
21.7%
0 3111
18.4%
- 1621
9.6%
2 1344
 
7.9%
4 1111
 
6.6%
3 1096
 
6.5%
8 1028
 
6.1%
6 1004
 
5.9%
5 985
 
5.8%
7 966
 
5.7%
Other values (7) 987
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15264
90.2%
Dash Punctuation 1621
 
9.6%
Uppercase Letter 18
 
0.1%
Other Punctuation 9
 
0.1%
Space Separator 7
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3666
24.0%
0 3111
20.4%
2 1344
 
8.8%
4 1111
 
7.3%
3 1096
 
7.2%
8 1028
 
6.7%
6 1004
 
6.6%
5 985
 
6.5%
7 966
 
6.3%
9 953
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
Z 8
44.4%
L 8
44.4%
J 1
 
5.6%
P 1
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 1621
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16901
99.9%
Latin 18
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3666
21.7%
0 3111
18.4%
- 1621
9.6%
2 1344
 
8.0%
4 1111
 
6.6%
3 1096
 
6.5%
8 1028
 
6.1%
6 1004
 
5.9%
5 985
 
5.8%
7 966
 
5.7%
Other values (3) 969
 
5.7%
Latin
ValueCountFrequency (%)
Z 8
44.4%
L 8
44.4%
J 1
 
5.6%
P 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16919
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3666
21.7%
0 3111
18.4%
- 1621
9.6%
2 1344
 
7.9%
4 1111
 
6.6%
3 1096
 
6.5%
8 1028
 
6.1%
6 1004
 
5.9%
5 985
 
5.8%
7 966
 
5.7%
Other values (7) 987
 
5.8%

등록일자
Date

Distinct1147
Distinct (%)67.4%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
Minimum1900-01-01 00:00:00
Maximum2022-12-27 00:00:00
2023-12-12T11:25:22.111954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:25:22.269743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

주발명자
Text

Distinct173
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2023-12-12T11:25:22.635838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9953024
Min length2

Characters and Unicode

Total characters5101
Distinct characters131
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)1.9%

Sample

1st row이영경
2nd row최인욱
3rd row장미
4th row우민아
5th row최윤상
ValueCountFrequency (%)
권기현 59
 
3.5%
김병삼 47
 
2.8%
이명기 45
 
2.6%
김성수 41
 
2.4%
임상동 40
 
2.3%
박종대 36
 
2.1%
임성일 36
 
2.1%
최희돈 30
 
1.8%
도정룡 30
 
1.8%
김영명 30
 
1.8%
Other values (163) 1309
76.9%
2023-12-12T11:25:23.192741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 482
 
9.4%
영 194
 
3.8%
이 167
 
3.3%
박 146
 
2.9%
상 134
 
2.6%
정 123
 
2.4%
기 120
 
2.4%
성 120
 
2.4%
최 118
 
2.3%
동 115
 
2.3%
Other values (121) 3382
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5101
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 482
 
9.4%
영 194
 
3.8%
이 167
 
3.3%
박 146
 
2.9%
상 134
 
2.6%
정 123
 
2.4%
기 120
 
2.4%
성 120
 
2.4%
최 118
 
2.3%
동 115
 
2.3%
Other values (121) 3382
66.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5101
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 482
 
9.4%
영 194
 
3.8%
이 167
 
3.3%
박 146
 
2.9%
상 134
 
2.6%
정 123
 
2.4%
기 120
 
2.4%
성 120
 
2.4%
최 118
 
2.3%
동 115
 
2.3%
Other values (121) 3382
66.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5101
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 482
 
9.4%
영 194
 
3.8%
이 167
 
3.3%
박 146
 
2.9%
상 134
 
2.6%
정 123
 
2.4%
기 120
 
2.4%
성 120
 
2.4%
최 118
 
2.3%
동 115
 
2.3%
Other values (121) 3382
66.3%

Interactions

2023-12-12T11:25:18.339870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T11:25:18.497528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:25:18.620673image/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

연번출원 및 등록명칭(한글)출원번호출원일자등록번호등록일자주발명자
01진세노사이드 Rf 진세노사이드 Rf를 포함하는 진세노사이드 조성물 또는 이들 중 어느 하나 이상의 혼합물을 유효성분으로 포함하는 근기능 개선용 조성물10-2020-01409632020-10-2810-24833002022-12-27이영경
12왕불유행 추출물을 유효성분으로 포함하는 조성물10-2017-01327682017-10-1210-24809272022-12-20최인욱
23백수오 조다당 추출물을 유효성분으로 함유하는 대장염의 예방 개선 및 치료용 조성물10-2017-01433812017-10-3110-24778992022-12-12장미
34수은의 신속 간편 육안 현장 진단을 위한 페이퍼 기반 비색 센서 키트 및 이를 이용한 수은의 신속 간편 육안 현장 검출 방법16/9587972020-06-29115190232022-12-06우민아
45채소분말을 이용한 간소시지 및 이의 제조방법10-2017-01515492017-11-1410-24684952022-11-15최윤상
56분홍바늘꽃 추출물을 유효성분으로 포함하는 호흡기 질환 개선용 조성물10-2020-01300072020-10-0810-24678562022-11-11신희순
67총백을 유효성분으로 함유하는 골 관련 질환의 개선 예방 또는 치료용 조성물10-2020-00901012020-07-2110-24648772022-11-03장대자
78로즈힙 추출물을 유효성분으로 포함하는 근육 질환 예방 개선 또는 치료용 조성물10-2020-01468902020-11-0510-24633282022-11-01안지윤
89암의 예방 또는 치료용 의약 조성물 및 건강기능식품10-2015-01649252015-11-2410-24554282022-10-12박동준
910피부암 억제 활성이 우수한 효모 초음파 추출물의 제조방법 및 상기 방법으로 제조된 효모 초음파 추출물을 함유한 피부암 억제용 조성물10-2020-00851802020-07-1010-24484572022-09-23이남혁
연번출원 및 등록명칭(한글)출원번호출원일자등록번호등록일자주발명자
16931694냉수가용성 한천의 제조방법10-1993-00295401993-12-2410-01252131997-10-02도정룡
16941695즉석 토로로의 제조방법10-1994-00028531994-02-1710-01161791997-06-10이부용
16951696당근쥬스의 제조방법10-1993-00209341993-10-0910-01012911996-06-28박용곤
16961697다진마늘의 장기보존법10-1993-00048551993-03-2610-00974911996-03-27김병삼
16971698미숙보리를 이용한 음료의 제조법10-1993-00129961993-07-1010-00953051996-02-06석호문
16981699쌀을 주원료로한 빵(쌀머핀 쌀케익 쌀식빵)의 제조방법10-1992-00259321992-12-2910-00930381995-12-18김상숙
16991700지방으로 미세갭슐화된 유당분해효소가 첨가된 우유제조방법10-1992-00086331992-05-2110-00884641995-08-29신명곤
17001701지방으로 미세갭슐화된 우유첨가용 유당분해효소액 제조방법10-1992-00086341992-05-2010-00884651995-08-29신명곤
17011702연속식 고추분말의 제조방법10-1990-00211021990-12-2010-00649361993-09-01박재복
17021703실시간 곡물 수율 자동산출 시스템 및 그 방법10-2021-01360622021-10-1310-25111061900-01-01김의웅