Overview

Dataset statistics

Number of variables10
Number of observations398
Missing cells68
Missing cells (%)1.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.6 KiB
Average record size in memory81.3 B

Variable types

Text7
Categorical2
DateTime1

Dataset

Description농림식품RnD 사업화 성과정보 데이터. 분류,과제관리번호,과제명,연구책임자,사업화명,사업화년도,사업화내용,제품명,제품출시일 등의 항목으로 구성
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15111882/fileData.do

Alerts

사업화년도 has constant value ""Constant
제품명 has 68 (17.1%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:53:52.280533
Analysis finished2023-12-12 23:53:53.423743
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

UNIQUE 

Distinct398
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T08:53:53.621843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.7286432
Min length8

Characters and Unicode

Total characters3872
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique398 ?
Unique (%)100.0%

Sample

1st rowSB2022-1
2nd rowSB2022-2
3rd rowSB2022-3
4th rowSB2022-4
5th rowSB2022-5
ValueCountFrequency (%)
sb2022-1 1
 
0.3%
sb2022-273 1
 
0.3%
sb2022-271 1
 
0.3%
sb2022-270 1
 
0.3%
sb2022-269 1
 
0.3%
sb2022-268 1
 
0.3%
sb2022-267 1
 
0.3%
sb2022-266 1
 
0.3%
sb2022-265 1
 
0.3%
sb2022-264 1
 
0.3%
Other values (388) 388
97.5%
2023-12-13T08:53:54.001823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1374
35.5%
0 467
 
12.1%
S 398
 
10.3%
B 398
 
10.3%
- 398
 
10.3%
1 180
 
4.6%
3 179
 
4.6%
4 80
 
2.1%
5 80
 
2.1%
6 80
 
2.1%
Other values (3) 238
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2678
69.2%
Uppercase Letter 796
 
20.6%
Dash Punctuation 398
 
10.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1374
51.3%
0 467
 
17.4%
1 180
 
6.7%
3 179
 
6.7%
4 80
 
3.0%
5 80
 
3.0%
6 80
 
3.0%
7 80
 
3.0%
8 80
 
3.0%
9 78
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
S 398
50.0%
B 398
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 398
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3076
79.4%
Latin 796
 
20.6%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1374
44.7%
0 467
 
15.2%
- 398
 
12.9%
1 180
 
5.9%
3 179
 
5.8%
4 80
 
2.6%
5 80
 
2.6%
6 80
 
2.6%
7 80
 
2.6%
8 80
 
2.6%
Latin
ValueCountFrequency (%)
S 398
50.0%
B 398
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3872
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1374
35.5%
0 467
 
12.1%
S 398
 
10.3%
B 398
 
10.3%
- 398
 
10.3%
1 180
 
4.6%
3 179
 
4.6%
4 80
 
2.1%
5 80
 
2.1%
6 80
 
2.1%
Other values (3) 238
 
6.1%

분류
Categorical

Distinct8
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
식품
128 
농림식품 융복합
61 
농림식품 기계ㆍ시스템
57 
농산
57 
축산
44 
Other values (3)
51 

Length

Max length11
Median length2
Mean length4.8969849
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농림식품 융복합
2nd row농림식품 기계ㆍ시스템
3rd row축산
4th row농림식품 기계ㆍ시스템
5th row농산

Common Values

ValueCountFrequency (%)
식품 128
32.2%
농림식품 융복합 61
15.3%
농림식품 기계ㆍ시스템 57
14.3%
농산 57
14.3%
축산 44
 
11.1%
농림식품 환경생태 30
 
7.5%
수의 13
 
3.3%
농림식품 경제ㆍ사회 8
 
2.0%

Length

2023-12-13T08:53:54.120629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:53:54.216355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림식품 156
28.2%
식품 128
23.1%
융복합 61
 
11.0%
기계ㆍ시스템 57
 
10.3%
농산 57
 
10.3%
축산 44
 
7.9%
환경생태 30
 
5.4%
수의 13
 
2.3%
경제ㆍ사회 8
 
1.4%
Distinct194
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T08:53:54.788082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters3184
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

Unique119 ?
Unique (%)29.9%

Sample

1st row313041-3
2nd row117059-3
3rd row818018-1
4th row319100-1
5th row317019-4
ValueCountFrequency (%)
121035-2 16
 
4.0%
213006-5 13
 
3.3%
321105-3 13
 
3.3%
321032-3 11
 
2.8%
121019-3 10
 
2.5%
617077-5 10
 
2.5%
321031-3 9
 
2.3%
821062-3 6
 
1.5%
120085-3 6
 
1.5%
121026-3 6
 
1.5%
Other values (184) 298
74.9%
2023-12-13T08:53:55.204855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 599
18.8%
0 540
17.0%
2 493
15.5%
3 448
14.1%
- 398
12.5%
4 166
 
5.2%
5 131
 
4.1%
8 126
 
4.0%
7 120
 
3.8%
6 86
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2786
87.5%
Dash Punctuation 398
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 599
21.5%
0 540
19.4%
2 493
17.7%
3 448
16.1%
4 166
 
6.0%
5 131
 
4.7%
8 126
 
4.5%
7 120
 
4.3%
6 86
 
3.1%
9 77
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 398
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 599
18.8%
0 540
17.0%
2 493
15.5%
3 448
14.1%
- 398
12.5%
4 166
 
5.2%
5 131
 
4.1%
8 126
 
4.0%
7 120
 
3.8%
6 86
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 599
18.8%
0 540
17.0%
2 493
15.5%
3 448
14.1%
- 398
12.5%
4 166
 
5.2%
5 131
 
4.1%
8 126
 
4.0%
7 120
 
3.8%
6 86
 
2.7%
Distinct201
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T08:53:55.503766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length48
Mean length34.40201
Min length8

Characters and Unicode

Total characters13692
Distinct characters483
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)31.2%

Sample

1st row생강나무 유래 심혈관 질환 치료제 후기 임상개발
2nd row온도 제어형 발열 파우치/용기 및 아웃도어 식품 개발
3rd row농식품을 이용한 기능성 동물(고양이)사료 개발 및 셀프급여기 개발
4th row농기계 디젤 엔진용 미세먼지 저감장치 개발 및 실증
5th row우리밀 생산관리 효율화를 위한 ICT기반 이력관리시스템 및 식품 소재 생산시스템 개발
ValueCountFrequency (%)
개발 237
 
7.0%
208
 
6.1%
위한 73
 
2.1%
기술 69
 
2.0%
이용한 55
 
1.6%
활용한 46
 
1.3%
기반 41
 
1.2%
기능성 38
 
1.1%
사업화 35
 
1.0%
시스템 32
 
0.9%
Other values (940) 2574
75.5%
2023-12-13T08:53:55.949910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3013
 
22.0%
369
 
2.7%
326
 
2.4%
301
 
2.2%
263
 
1.9%
246
 
1.8%
224
 
1.6%
208
 
1.5%
193
 
1.4%
177
 
1.3%
Other values (473) 8372
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9985
72.9%
Space Separator 3013
 
22.0%
Lowercase Letter 194
 
1.4%
Uppercase Letter 187
 
1.4%
Other Punctuation 82
 
0.6%
Open Punctuation 81
 
0.6%
Close Punctuation 79
 
0.6%
Decimal Number 59
 
0.4%
Dash Punctuation 9
 
0.1%
Other Symbol 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
369
 
3.7%
326
 
3.3%
301
 
3.0%
263
 
2.6%
246
 
2.5%
224
 
2.2%
208
 
2.1%
193
 
1.9%
177
 
1.8%
176
 
1.8%
Other values (410) 7502
75.1%
Uppercase Letter
ValueCountFrequency (%)
R 31
16.6%
A 21
11.2%
M 17
9.1%
P 15
 
8.0%
C 14
 
7.5%
I 13
 
7.0%
T 10
 
5.3%
G 9
 
4.8%
B 8
 
4.3%
S 8
 
4.3%
Other values (11) 41
21.9%
Lowercase Letter
ValueCountFrequency (%)
a 36
18.6%
s 28
14.4%
e 18
9.3%
o 18
9.3%
r 16
8.2%
p 15
7.7%
b 15
7.7%
y 14
 
7.2%
k 6
 
3.1%
i 6
 
3.1%
Other values (9) 22
11.3%
Decimal Number
ValueCountFrequency (%)
2 16
27.1%
1 11
18.6%
3 8
13.6%
5 6
 
10.2%
9 6
 
10.2%
0 4
 
6.8%
4 4
 
6.8%
6 2
 
3.4%
7 1
 
1.7%
8 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 40
48.8%
· 27
32.9%
. 8
 
9.8%
/ 7
 
8.5%
Open Punctuation
ValueCountFrequency (%)
( 56
69.1%
[ 25
30.9%
Close Punctuation
ValueCountFrequency (%)
) 54
68.4%
] 25
31.6%
Space Separator
ValueCountFrequency (%)
3013
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9985
72.9%
Common 3326
 
24.3%
Latin 381
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
369
 
3.7%
326
 
3.3%
301
 
3.0%
263
 
2.6%
246
 
2.5%
224
 
2.2%
208
 
2.1%
193
 
1.9%
177
 
1.8%
176
 
1.8%
Other values (410) 7502
75.1%
Latin
ValueCountFrequency (%)
a 36
 
9.4%
R 31
 
8.1%
s 28
 
7.3%
A 21
 
5.5%
e 18
 
4.7%
o 18
 
4.7%
M 17
 
4.5%
r 16
 
4.2%
p 15
 
3.9%
P 15
 
3.9%
Other values (30) 166
43.6%
Common
ValueCountFrequency (%)
3013
90.6%
( 56
 
1.7%
) 54
 
1.6%
, 40
 
1.2%
· 27
 
0.8%
] 25
 
0.8%
[ 25
 
0.8%
2 16
 
0.5%
1 11
 
0.3%
- 9
 
0.3%
Other values (13) 50
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9984
72.9%
ASCII 3677
 
26.9%
None 27
 
0.2%
Punctuation 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3013
81.9%
( 56
 
1.5%
) 54
 
1.5%
, 40
 
1.1%
a 36
 
1.0%
R 31
 
0.8%
s 28
 
0.8%
] 25
 
0.7%
[ 25
 
0.7%
A 21
 
0.6%
Other values (49) 348
 
9.5%
Hangul
ValueCountFrequency (%)
369
 
3.7%
326
 
3.3%
301
 
3.0%
263
 
2.6%
246
 
2.5%
224
 
2.2%
208
 
2.1%
193
 
1.9%
177
 
1.8%
176
 
1.8%
Other values (409) 7501
75.1%
None
ValueCountFrequency (%)
· 27
100.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct193
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T08:53:56.229253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length3.3417085
Min length2

Characters and Unicode

Total characters1330
Distinct characters140
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)29.4%

Sample

1st row문홍식
2nd row이호동
3rd row조범석
4th row신병선
5th row김상숙
ValueCountFrequency (%)
이서호 16
 
3.8%
hyeong 13
 
3.1%
woo 13
 
3.1%
lee 13
 
3.1%
민중식 11
 
2.6%
안정희 10
 
2.4%
조용훈 10
 
2.4%
조원경 10
 
2.4%
박주연 9
 
2.1%
이성호 7
 
1.7%
Other values (185) 312
73.6%
2023-12-13T08:53:56.635974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
5.0%
65
 
4.9%
48
 
3.6%
42
 
3.2%
e 39
 
2.9%
o 39
 
2.9%
34
 
2.6%
33
 
2.5%
26
 
2.0%
26
 
2.0%
Other values (130) 912
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1148
86.3%
Lowercase Letter 117
 
8.8%
Uppercase Letter 39
 
2.9%
Space Separator 26
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
66
 
5.7%
65
 
5.7%
48
 
4.2%
42
 
3.7%
34
 
3.0%
33
 
2.9%
26
 
2.3%
25
 
2.2%
25
 
2.2%
24
 
2.1%
Other values (121) 760
66.2%
Lowercase Letter
ValueCountFrequency (%)
e 39
33.3%
o 39
33.3%
y 13
 
11.1%
n 13
 
11.1%
g 13
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
H 13
33.3%
W 13
33.3%
L 13
33.3%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1148
86.3%
Latin 156
 
11.7%
Common 26
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
66
 
5.7%
65
 
5.7%
48
 
4.2%
42
 
3.7%
34
 
3.0%
33
 
2.9%
26
 
2.3%
25
 
2.2%
25
 
2.2%
24
 
2.1%
Other values (121) 760
66.2%
Latin
ValueCountFrequency (%)
e 39
25.0%
o 39
25.0%
H 13
 
8.3%
W 13
 
8.3%
L 13
 
8.3%
y 13
 
8.3%
n 13
 
8.3%
g 13
 
8.3%
Common
ValueCountFrequency (%)
26
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1148
86.3%
ASCII 182
 
13.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
66
 
5.7%
65
 
5.7%
48
 
4.2%
42
 
3.7%
34
 
3.0%
33
 
2.9%
26
 
2.3%
25
 
2.2%
25
 
2.2%
24
 
2.1%
Other values (121) 760
66.2%
ASCII
ValueCountFrequency (%)
e 39
21.4%
o 39
21.4%
26
14.3%
H 13
 
7.1%
W 13
 
7.1%
L 13
 
7.1%
y 13
 
7.1%
n 13
 
7.1%
g 13
 
7.1%
Distinct329
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T08:53:56.920614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length42
Mean length19.894472
Min length3

Characters and Unicode

Total characters7918
Distinct characters554
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

Unique301 ?
Unique (%)75.6%

Sample

1st row말초동맥질환 치료제 개발
2nd row온도 제어형 발열 파우치/용기 및 아웃도어 식품 개발
3rd row상품화(습식사료 셀프급여기 및 연동 어플리케이션)
4th rowAVEHY-01(농기계 미세먼지 저감장치)
5th row우리밀 즉석 포장밀밥
ValueCountFrequency (%)
개발 62
 
3.4%
55
 
3.0%
제품 44
 
2.4%
위한 34
 
1.9%
사업화 21
 
1.2%
활용한 20
 
1.1%
시제품 19
 
1.1%
제품화 17
 
0.9%
출시 16
 
0.9%
제품개발 16
 
0.9%
Other values (862) 1502
83.2%
2023-12-13T08:53:57.371911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1416
 
17.9%
190
 
2.4%
170
 
2.1%
125
 
1.6%
122
 
1.5%
118
 
1.5%
106
 
1.3%
102
 
1.3%
101
 
1.3%
98
 
1.2%
Other values (544) 5370
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5619
71.0%
Space Separator 1416
 
17.9%
Uppercase Letter 328
 
4.1%
Lowercase Letter 250
 
3.2%
Decimal Number 72
 
0.9%
Open Punctuation 60
 
0.8%
Close Punctuation 60
 
0.8%
Other Punctuation 52
 
0.7%
Dash Punctuation 43
 
0.5%
Connector Punctuation 18
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
190
 
3.4%
170
 
3.0%
125
 
2.2%
122
 
2.2%
118
 
2.1%
106
 
1.9%
102
 
1.8%
101
 
1.8%
98
 
1.7%
95
 
1.7%
Other values (476) 4392
78.2%
Uppercase Letter
ValueCountFrequency (%)
R 40
12.2%
P 35
10.7%
A 31
 
9.5%
S 29
 
8.8%
M 24
 
7.3%
C 20
 
6.1%
V 20
 
6.1%
I 17
 
5.2%
T 17
 
5.2%
W 14
 
4.3%
Other values (13) 81
24.7%
Lowercase Letter
ValueCountFrequency (%)
i 42
16.8%
t 34
13.6%
e 20
8.0%
o 20
8.0%
a 18
 
7.2%
l 17
 
6.8%
r 17
 
6.8%
k 15
 
6.0%
n 12
 
4.8%
s 10
 
4.0%
Other values (10) 45
18.0%
Decimal Number
ValueCountFrequency (%)
2 18
25.0%
0 18
25.0%
6 10
13.9%
3 7
 
9.7%
1 5
 
6.9%
9 5
 
6.9%
5 3
 
4.2%
4 3
 
4.2%
8 2
 
2.8%
7 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
& 14
26.9%
, 10
19.2%
' 8
15.4%
. 6
11.5%
/ 6
11.5%
: 5
 
9.6%
· 2
 
3.8%
% 1
 
1.9%
Open Punctuation
ValueCountFrequency (%)
( 56
93.3%
[ 4
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 56
93.3%
] 4
 
6.7%
Space Separator
ValueCountFrequency (%)
1416
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5619
71.0%
Common 1721
 
21.7%
Latin 578
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
190
 
3.4%
170
 
3.0%
125
 
2.2%
122
 
2.2%
118
 
2.1%
106
 
1.9%
102
 
1.8%
101
 
1.8%
98
 
1.7%
95
 
1.7%
Other values (476) 4392
78.2%
Latin
ValueCountFrequency (%)
i 42
 
7.3%
R 40
 
6.9%
P 35
 
6.1%
t 34
 
5.9%
A 31
 
5.4%
S 29
 
5.0%
M 24
 
4.2%
e 20
 
3.5%
C 20
 
3.5%
o 20
 
3.5%
Other values (33) 283
49.0%
Common
ValueCountFrequency (%)
1416
82.3%
( 56
 
3.3%
) 56
 
3.3%
- 43
 
2.5%
_ 18
 
1.0%
2 18
 
1.0%
0 18
 
1.0%
& 14
 
0.8%
, 10
 
0.6%
6 10
 
0.6%
Other values (15) 62
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5619
71.0%
ASCII 2297
29.0%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1416
61.6%
( 56
 
2.4%
) 56
 
2.4%
- 43
 
1.9%
i 42
 
1.8%
R 40
 
1.7%
P 35
 
1.5%
t 34
 
1.5%
A 31
 
1.3%
S 29
 
1.3%
Other values (57) 515
 
22.4%
Hangul
ValueCountFrequency (%)
190
 
3.4%
170
 
3.0%
125
 
2.2%
122
 
2.2%
118
 
2.1%
106
 
1.9%
102
 
1.8%
101
 
1.8%
98
 
1.7%
95
 
1.7%
Other values (476) 4392
78.2%
None
ValueCountFrequency (%)
· 2
100.0%

사업화년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2022
398 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 398
100.0%

Length

2023-12-13T08:53:57.489816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:53:57.572035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 398
100.0%
Distinct355
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-13T08:53:57.818814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length690
Median length214
Mean length74.520101
Min length2

Characters and Unicode

Total characters29659
Distinct characters718
Distinct categories15 ?
Distinct scripts4 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique339 ?
Unique (%)85.2%

Sample

1st row임상 2상시험 결과를 바탕으로 식약처로부터 임상 3상시험 승인 후 한화제약으로 기술 이전함- 한화제약에서 임상 3상시험을 진행하여 성공적인 결과 도출- 국내 NDA 신청 및 약가 승인- 국내 말초동맥질환 치료제 시장 출시 예정(2022년 이후)
2nd row온도 제어형 발열 파우치/용기 및 아웃도어 식품 개발 프로젝트를 통해 발생된 아이템을 이용한 사업화 실행
3rd row습식사료 셀프급여기- 셀프급여기 연동 어플리케이션
4th row* 국내 노후 농기계 미세먼지 저감장치 제도 마련을 통한 보급 촉진 및 정부 지원 사업화 * 해외 농기계 미세먼지 저감장치 시장 진출에 따른 사업화* 국내 신규 제작 농기계 미세먼지 저감장치 사업화
5th row우리밀을 활용한 즉석 포장밀밥 제품
ValueCountFrequency (%)
212
 
3.2%
96
 
1.5%
개발 78
 
1.2%
위한 77
 
1.2%
제품 68
 
1.0%
통한 39
 
0.6%
32
 
0.5%
판매 31
 
0.5%
31
 
0.5%
사업화 30
 
0.5%
Other values (3016) 5860
89.4%
2023-12-13T08:53:58.231610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6453
 
21.8%
439
 
1.5%
375
 
1.3%
375
 
1.3%
345
 
1.2%
, 340
 
1.1%
339
 
1.1%
333
 
1.1%
320
 
1.1%
312
 
1.1%
Other values (708) 20028
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19954
67.3%
Space Separator 6453
 
21.8%
Uppercase Letter 770
 
2.6%
Lowercase Letter 724
 
2.4%
Other Punctuation 684
 
2.3%
Decimal Number 569
 
1.9%
Close Punctuation 175
 
0.6%
Open Punctuation 153
 
0.5%
Dash Punctuation 135
 
0.5%
Math Symbol 24
 
0.1%
Other values (5) 18
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
439
 
2.2%
375
 
1.9%
375
 
1.9%
345
 
1.7%
339
 
1.7%
333
 
1.7%
320
 
1.6%
312
 
1.6%
280
 
1.4%
279
 
1.4%
Other values (620) 16557
83.0%
Uppercase Letter
ValueCountFrequency (%)
V 69
 
9.0%
C 58
 
7.5%
D 55
 
7.1%
S 52
 
6.8%
R 51
 
6.6%
P 48
 
6.2%
M 47
 
6.1%
E 45
 
5.8%
A 41
 
5.3%
O 40
 
5.2%
Other values (14) 264
34.3%
Lowercase Letter
ValueCountFrequency (%)
t 91
12.6%
i 89
12.3%
e 82
11.3%
o 66
9.1%
a 57
 
7.9%
c 46
 
6.4%
r 40
 
5.5%
n 39
 
5.4%
s 38
 
5.2%
l 26
 
3.6%
Other values (13) 150
20.7%
Other Punctuation
ValueCountFrequency (%)
, 340
49.7%
. 183
26.8%
/ 53
 
7.7%
: 35
 
5.1%
' 20
 
2.9%
% 16
 
2.3%
& 16
 
2.3%
* 12
 
1.8%
" 6
 
0.9%
· 3
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 162
28.5%
0 128
22.5%
1 103
18.1%
3 53
 
9.3%
4 38
 
6.7%
5 24
 
4.2%
8 18
 
3.2%
9 17
 
3.0%
6 14
 
2.5%
7 12
 
2.1%
Math Symbol
ValueCountFrequency (%)
> 12
50.0%
~ 5
20.8%
+ 4
 
16.7%
< 2
 
8.3%
1
 
4.2%
Other Symbol
ValueCountFrequency (%)
4
57.1%
2
28.6%
1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 174
99.4%
] 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 152
99.3%
[ 1
 
0.7%
Initial Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Final Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
6453
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19951
67.3%
Common 8209
27.7%
Latin 1496
 
5.0%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
439
 
2.2%
375
 
1.9%
375
 
1.9%
345
 
1.7%
339
 
1.7%
333
 
1.7%
320
 
1.6%
312
 
1.6%
280
 
1.4%
279
 
1.4%
Other values (618) 16554
83.0%
Latin
ValueCountFrequency (%)
t 91
 
6.1%
i 89
 
5.9%
e 82
 
5.5%
V 69
 
4.6%
o 66
 
4.4%
C 58
 
3.9%
a 57
 
3.8%
D 55
 
3.7%
S 52
 
3.5%
R 51
 
3.4%
Other values (39) 826
55.2%
Common
ValueCountFrequency (%)
6453
78.6%
, 340
 
4.1%
. 183
 
2.2%
) 174
 
2.1%
2 162
 
2.0%
( 152
 
1.9%
- 135
 
1.6%
0 128
 
1.6%
1 103
 
1.3%
/ 53
 
0.6%
Other values (29) 326
 
4.0%
Han
ValueCountFrequency (%)
2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19950
67.3%
ASCII 9684
32.7%
Punctuation 8
 
< 0.1%
Geometric Shapes 6
 
< 0.1%
None 3
 
< 0.1%
CJK 3
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK Compat 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%
Arrows 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6453
66.6%
, 340
 
3.5%
. 183
 
1.9%
) 174
 
1.8%
2 162
 
1.7%
( 152
 
1.6%
- 135
 
1.4%
0 128
 
1.3%
1 103
 
1.1%
t 91
 
0.9%
Other values (67) 1763
 
18.2%
Hangul
ValueCountFrequency (%)
439
 
2.2%
375
 
1.9%
375
 
1.9%
345
 
1.7%
339
 
1.7%
333
 
1.7%
320
 
1.6%
312
 
1.6%
280
 
1.4%
279
 
1.4%
Other values (617) 16553
83.0%
Geometric Shapes
ValueCountFrequency (%)
4
66.7%
2
33.3%
Punctuation
ValueCountFrequency (%)
3
37.5%
3
37.5%
1
 
12.5%
1
 
12.5%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
2
66.7%
1
33.3%
CJK Compat
ValueCountFrequency (%)
1
100.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%
Arrows
ValueCountFrequency (%)
1
100.0%

제품명
Text

MISSING 

Distinct319
Distinct (%)96.7%
Missing68
Missing (%)17.1%
Memory size3.2 KiB
2023-12-13T08:53:58.485870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length47
Mean length14.412121
Min length2

Characters and Unicode

Total characters4756
Distinct characters524
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique311 ?
Unique (%)94.2%

Sample

1st rowYJP14
2nd row발열파우치를 이용한 식품 파우치
3rd row습식사료 셀프급여기
4th row농기계용 미세먼지 저감장치 (AVEHY-01)
5th row포장 밀밥
ValueCountFrequency (%)
kit 16
 
1.7%
er-detection 13
 
1.4%
virus 12
 
1.3%
바이러스 10
 
1.1%
위한 10
 
1.1%
mosaic 9
 
1.0%
감염 7
 
0.7%
진단을 7
 
0.7%
키트 7
 
0.7%
진단 7
 
0.7%
Other values (643) 839
89.5%
2023-12-13T08:53:58.870395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
609
 
12.8%
116
 
2.4%
94
 
2.0%
e 93
 
2.0%
i 88
 
1.9%
t 85
 
1.8%
o 60
 
1.3%
- 50
 
1.1%
r 47
 
1.0%
a 46
 
1.0%
Other values (514) 3468
72.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2734
57.5%
Lowercase Letter 686
 
14.4%
Space Separator 609
 
12.8%
Uppercase Letter 452
 
9.5%
Decimal Number 114
 
2.4%
Dash Punctuation 50
 
1.1%
Other Punctuation 38
 
0.8%
Open Punctuation 32
 
0.7%
Close Punctuation 32
 
0.7%
Connector Punctuation 4
 
0.1%
Other values (3) 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
116
 
4.2%
94
 
3.4%
44
 
1.6%
44
 
1.6%
42
 
1.5%
36
 
1.3%
34
 
1.2%
33
 
1.2%
29
 
1.1%
28
 
1.0%
Other values (441) 2234
81.7%
Uppercase Letter
ValueCountFrequency (%)
R 43
 
9.5%
V 38
 
8.4%
M 36
 
8.0%
S 32
 
7.1%
D 30
 
6.6%
E 29
 
6.4%
P 27
 
6.0%
C 27
 
6.0%
T 27
 
6.0%
A 26
 
5.8%
Other values (16) 137
30.3%
Lowercase Letter
ValueCountFrequency (%)
e 93
13.6%
i 88
12.8%
t 85
12.4%
o 60
8.7%
r 47
 
6.9%
a 46
 
6.7%
n 39
 
5.7%
c 38
 
5.5%
s 35
 
5.1%
l 34
 
5.0%
Other values (14) 121
17.6%
Decimal Number
ValueCountFrequency (%)
0 32
28.1%
1 19
16.7%
2 18
15.8%
6 10
 
8.8%
9 9
 
7.9%
3 8
 
7.0%
4 7
 
6.1%
5 7
 
6.1%
7 3
 
2.6%
8 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
& 17
44.7%
, 14
36.8%
/ 4
 
10.5%
. 3
 
7.9%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
609
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2734
57.5%
Latin 1140
24.0%
Common 882
 
18.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
116
 
4.2%
94
 
3.4%
44
 
1.6%
44
 
1.6%
42
 
1.5%
36
 
1.3%
34
 
1.2%
33
 
1.2%
29
 
1.1%
28
 
1.0%
Other values (441) 2234
81.7%
Latin
ValueCountFrequency (%)
e 93
 
8.2%
i 88
 
7.7%
t 85
 
7.5%
o 60
 
5.3%
r 47
 
4.1%
a 46
 
4.0%
R 43
 
3.8%
n 39
 
3.4%
V 38
 
3.3%
c 38
 
3.3%
Other values (42) 563
49.4%
Common
ValueCountFrequency (%)
609
69.0%
- 50
 
5.7%
( 32
 
3.6%
) 32
 
3.6%
0 32
 
3.6%
1 19
 
2.2%
2 18
 
2.0%
& 17
 
1.9%
, 14
 
1.6%
6 10
 
1.1%
Other values (11) 49
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2734
57.5%
ASCII 2019
42.5%
Number Forms 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
609
30.2%
e 93
 
4.6%
i 88
 
4.4%
t 85
 
4.2%
o 60
 
3.0%
- 50
 
2.5%
r 47
 
2.3%
a 46
 
2.3%
R 43
 
2.1%
n 39
 
1.9%
Other values (60) 859
42.5%
Hangul
ValueCountFrequency (%)
116
 
4.2%
94
 
3.4%
44
 
1.6%
44
 
1.6%
42
 
1.5%
36
 
1.3%
34
 
1.2%
33
 
1.2%
29
 
1.1%
28
 
1.0%
Other values (441) 2234
81.7%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Distinct162
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum2014-10-06 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T08:53:58.978863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:53:59.095626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2023-12-13T08:53:53.260270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:53:53.376194image/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

번호분류과제관리번호과제명연구책임자사업화명사업화년도사업화내용제품명제품출시일
0SB2022-1농림식품 융복합313041-3생강나무 유래 심혈관 질환 치료제 후기 임상개발문홍식말초동맥질환 치료제 개발2022임상 2상시험 결과를 바탕으로 식약처로부터 임상 3상시험 승인 후 한화제약으로 기술 이전함- 한화제약에서 임상 3상시험을 진행하여 성공적인 결과 도출- 국내 NDA 신청 및 약가 승인- 국내 말초동맥질환 치료제 시장 출시 예정(2022년 이후)YJP142017-01-01
1SB2022-2농림식품 기계ㆍ시스템117059-3온도 제어형 발열 파우치/용기 및 아웃도어 식품 개발이호동온도 제어형 발열 파우치/용기 및 아웃도어 식품 개발2022온도 제어형 발열 파우치/용기 및 아웃도어 식품 개발 프로젝트를 통해 발생된 아이템을 이용한 사업화 실행발열파우치를 이용한 식품 파우치2017-12-31
2SB2022-3축산818018-1농식품을 이용한 기능성 동물(고양이)사료 개발 및 셀프급여기 개발조범석상품화(습식사료 셀프급여기 및 연동 어플리케이션)2022습식사료 셀프급여기- 셀프급여기 연동 어플리케이션습식사료 셀프급여기2019-12-31
3SB2022-4농림식품 기계ㆍ시스템319100-1농기계 디젤 엔진용 미세먼지 저감장치 개발 및 실증신병선AVEHY-01(농기계 미세먼지 저감장치)2022* 국내 노후 농기계 미세먼지 저감장치 제도 마련을 통한 보급 촉진 및 정부 지원 사업화 * 해외 농기계 미세먼지 저감장치 시장 진출에 따른 사업화* 국내 신규 제작 농기계 미세먼지 저감장치 사업화농기계용 미세먼지 저감장치 (AVEHY-01)2020-08-31
4SB2022-5농산317019-4우리밀 생산관리 효율화를 위한 ICT기반 이력관리시스템 및 식품 소재 생산시스템 개발김상숙우리밀 즉석 포장밀밥2022우리밀을 활용한 즉석 포장밀밥 제품포장 밀밥2020-09-20
5SB2022-6식품314047-2수출용 대용량 HMR 식자재 상품 개발윤원병HMR-찰옥수수2022상온유통가능한 찰옥수수제품 개발.헬로다인 찰옥수수2020-08-03
6SB2022-7농산317019-4우리밀 생산관리 효율화를 위한 ICT기반 이력관리시스템 및 식품 소재 생산시스템 개발김상숙우리밀 맥아 맥주2022우리밀 맥아 맥주우리밀 맥아 맥주2020-10-07
7SB2022-8농산317019-4우리밀 생산관리 효율화를 위한 ICT기반 이력관리시스템 및 식품 소재 생산시스템 개발김상숙우리밀 통밀 맥주2022우리밀 통밀을 활용한 맥주우리밀 통밀 맥주2020-10-07
8SB2022-9농림식품 기계ㆍ시스템119002-2열융착 방식 원예용 결속기계 개발서해영열융착방식원예용결속기2022제품화 완성KC인증획득FCC인증획득CE인증획득RoHS(DoC)인증획득국제특허7개국획득(미국,중국.일본,독일,프랑스 스페인,이탈리아) 브라질 심사중상자디자인출원상표디자인출원전자제어창치 특허출원수출에 필요한 인증서와 브로셔 작성 완료확보된 바이어에게 홍보중임(FCC,KE,DoHC,CE)SmartTiener ET-1012020-12-28
9SB2022-10농림식품 융복합317003-4국내산 약용작물(전호잎 및 붉은토끼풀)을 이용한 퇴행성관절염 개선 식의약 소재 및 제품개발김춘성전호잎 추출물을2022전호 잎 추출물을 이용한 관절개선 건강기능식품 시제품 제작관절리커버2020-07-06
번호분류과제관리번호과제명연구책임자사업화명사업화년도사업화내용제품명제품출시일
388SB2022-389농산213006-5수출용 대과형 파프리카 품종개발이용직하나-알9호, 하나-알10호 국내매출2022농업회사법인(주)하나종묘에서 개발한 하나-알9호와 하나-알10호를 국내 D사와 거래함-매출액 130,000,000원하나-알9호, 하나-알10호2018-11-21
389SB2022-390농산213006-5색소체 고함유 생식용 배추 품종육성권오하색소체 고함유 생식용 배추 품종(RCC65,RCC31)2022배추종자수출RCC65,RCC312022-01-01
390SB2022-391농산213006-5만추대 배추 품종 육성장창순만추대 배추 품종 육성2022수출황금산 배추2022-07-05
391SB2022-392농산213007-5고기능성 칼라토마토 품종 육성안재균기능성 칼라토마토 판매2022기능성 칼라토마토 품종 국내판매 및 수출애플노랑티와이 외 19품종2022-06-08
392SB2022-393농산213007-5시들음병 및 검은썩음병 저항성 수출용 양배추 품종개발 및 품질관리체계 구축신종섭22.09.20 농우바이오 수행종료 과제 매출실적(양배추)2022마니아, GAIA, SOLID, 스파클, YR쟈칼 수출마니아, GAIA, SOLID, 스파클, YR쟈칼2022-01-01
393SB2022-394농산213006-5수출용 중과형 파프리카 품종 개발양동철Swarup2022Swarup 파프리카 종자판매Swarup2022-01-01
394SB2022-395농산213006-5만추대 타원형 백청수계 무 품종개발허건한라오름2022과제 성과로 품종개발한라오름2022-08-01
395SB2022-396농산213007-5양파시범포 운영에 의한 국내품종 보급률 향상김용권수입대체용 고저장성 다수성 양파 품종개발2022양파 품종 판매비스트,탑건 등2022-01-01
396SB2022-397농산213006-5풋고추 수확형 고추 품종개발지영권고추종자 국내매출2022에이스종묘에서 개발한 AG142 국내 판매에이지1422020-10-31
397SB2022-398농산213006-5풋고추 수확형 고추 품종개발지영권고추종자 국내매출2022에이스종묘에서 개발한 AD155 국내 판매에이디1552020-10-31