Overview

Dataset statistics

Number of variables9
Number of observations194
Missing cells21
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.1 KiB
Average record size in memory74.7 B

Variable types

Numeric1
Categorical2
Text5
DateTime1

Dataset

Description농림식품 관련 RnD 과제 성과로 창출된 정보 제공 농림식품R&D 중분류 중 2020년 식품 R&D 사업화정보 관련 항목 공개
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15075511/fileData.do

Alerts

분류 has constant value ""Constant
사업화년도 has constant value ""Constant
제품명 has 21 (10.8%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:09:02.708198
Analysis finished2023-12-12 05:09:04.084551
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct194
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.5
Minimum1
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T14:09:04.178620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.65
Q149.25
median97.5
Q3145.75
95-th percentile184.35
Maximum194
Range193
Interquartile range (IQR)96.5

Descriptive statistics

Standard deviation56.147128
Coefficient of variation (CV)0.57586798
Kurtosis-1.2
Mean97.5
Median Absolute Deviation (MAD)48.5
Skewness0
Sum18915
Variance3152.5
MonotonicityStrictly increasing
2023-12-12T14:09:04.405935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
147 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
130 1
 
0.5%
131 1
 
0.5%
132 1
 
0.5%
Other values (184) 184
94.8%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
194 1
0.5%
193 1
0.5%
192 1
0.5%
191 1
0.5%
190 1
0.5%
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
식품
194 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품 194
100.0%

Length

2023-12-12T14:09:04.580139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:09:04.688768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품 194
100.0%
Distinct83
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T14:09:04.971661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters1552
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

Unique38 ?
Unique (%)19.6%

Sample

1st row115004-3
2nd row115004-3
3rd row115004-3
4th row115017-1
5th row116001-3
ValueCountFrequency (%)
618002-5 18
 
9.3%
315049-5 11
 
5.7%
315059-3 8
 
4.1%
116168-3 7
 
3.6%
117060-3 5
 
2.6%
817034-3 5
 
2.6%
617074-5 5
 
2.6%
317040-5 5
 
2.6%
319091-3 4
 
2.1%
319117-1 4
 
2.1%
Other values (73) 122
62.9%
2023-12-12T14:09:05.436234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 350
22.6%
0 254
16.4%
- 194
12.5%
3 192
12.4%
5 103
 
6.6%
9 85
 
5.5%
7 81
 
5.2%
2 79
 
5.1%
8 78
 
5.0%
6 74
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1358
87.5%
Dash Punctuation 194
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 350
25.8%
0 254
18.7%
3 192
14.1%
5 103
 
7.6%
9 85
 
6.3%
7 81
 
6.0%
2 79
 
5.8%
8 78
 
5.7%
6 74
 
5.4%
4 62
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 350
22.6%
0 254
16.4%
- 194
12.5%
3 192
12.4%
5 103
 
6.6%
9 85
 
5.5%
7 81
 
5.2%
2 79
 
5.1%
8 78
 
5.0%
6 74
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 350
22.6%
0 254
16.4%
- 194
12.5%
3 192
12.4%
5 103
 
6.6%
9 85
 
5.5%
7 81
 
5.2%
2 79
 
5.1%
8 78
 
5.0%
6 74
 
4.8%
Distinct83
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T14:09:05.834534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length46
Mean length33.237113
Min length9

Characters and Unicode

Total characters6448
Distinct characters354
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

Unique38 ?
Unique (%)19.6%

Sample

1st rowImmuno-PCR을 이용한 곰팡이 독소 정량분석키트 개발 및 사업화
2nd rowImmuno-PCR을 이용한 곰팡이 독소 정량분석키트 개발 및 사업화
3rd rowImmuno-PCR을 이용한 곰팡이 독소 정량분석키트 개발 및 사업화
4th row캡슐커피의 추출원리를 응용한 5대 주요 기능성 성분이 포함된 검은콩 캡슐차의 개발
5th row꽃송이버섯을 활용한 골관절염 개선 건강기능성식품 개발
ValueCountFrequency (%)
개발 126
 
8.1%
107
 
6.9%
이용한 32
 
2.1%
위한 30
 
1.9%
통한 29
 
1.9%
활용한 28
 
1.8%
기술 21
 
1.4%
제품 21
 
1.4%
한우수출연구사업단 18
 
1.2%
기능성 17
 
1.1%
Other values (425) 1126
72.4%
2023-12-12T14:09:06.396127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1362
 
21.1%
205
 
3.2%
193
 
3.0%
164
 
2.5%
159
 
2.5%
130
 
2.0%
114
 
1.8%
107
 
1.7%
105
 
1.6%
99
 
1.5%
Other values (344) 3810
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4848
75.2%
Space Separator 1362
 
21.1%
Lowercase Letter 88
 
1.4%
Uppercase Letter 88
 
1.4%
Other Punctuation 21
 
0.3%
Dash Punctuation 11
 
0.2%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%
Decimal Number 8
 
0.1%
Math Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
205
 
4.2%
193
 
4.0%
164
 
3.4%
159
 
3.3%
130
 
2.7%
114
 
2.4%
107
 
2.2%
105
 
2.2%
99
 
2.0%
95
 
2.0%
Other values (303) 3477
71.7%
Uppercase Letter
ValueCountFrequency (%)
C 16
18.2%
I 15
17.0%
G 14
15.9%
T 12
13.6%
R 7
8.0%
K 7
8.0%
M 5
 
5.7%
H 4
 
4.5%
P 3
 
3.4%
N 1
 
1.1%
Other values (4) 4
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
l 23
26.1%
o 15
17.0%
a 12
13.6%
b 11
12.5%
m 6
 
6.8%
n 5
 
5.7%
e 4
 
4.5%
u 4
 
4.5%
c 2
 
2.3%
g 2
 
2.3%
Other values (3) 4
 
4.5%
Decimal Number
ValueCountFrequency (%)
5 3
37.5%
0 2
25.0%
2 2
25.0%
1 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 14
66.7%
/ 4
 
19.0%
· 3
 
14.3%
Space Separator
ValueCountFrequency (%)
1362
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4848
75.2%
Common 1424
 
22.1%
Latin 176
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
205
 
4.2%
193
 
4.0%
164
 
3.4%
159
 
3.3%
130
 
2.7%
114
 
2.4%
107
 
2.2%
105
 
2.2%
99
 
2.0%
95
 
2.0%
Other values (303) 3477
71.7%
Latin
ValueCountFrequency (%)
l 23
13.1%
C 16
 
9.1%
I 15
 
8.5%
o 15
 
8.5%
G 14
 
8.0%
a 12
 
6.8%
T 12
 
6.8%
b 11
 
6.2%
R 7
 
4.0%
K 7
 
4.0%
Other values (17) 44
25.0%
Common
ValueCountFrequency (%)
1362
95.6%
, 14
 
1.0%
- 11
 
0.8%
( 9
 
0.6%
) 9
 
0.6%
/ 4
 
0.3%
5 3
 
0.2%
· 3
 
0.2%
0 2
 
0.1%
+ 2
 
0.1%
Other values (4) 5
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4846
75.2%
ASCII 1595
 
24.7%
None 3
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1362
85.4%
l 23
 
1.4%
C 16
 
1.0%
I 15
 
0.9%
o 15
 
0.9%
G 14
 
0.9%
, 14
 
0.9%
a 12
 
0.8%
T 12
 
0.8%
b 11
 
0.7%
Other values (28) 101
 
6.3%
Hangul
ValueCountFrequency (%)
205
 
4.2%
193
 
4.0%
164
 
3.4%
159
 
3.3%
130
 
2.7%
114
 
2.4%
107
 
2.2%
105
 
2.2%
99
 
2.0%
95
 
2.0%
Other values (302) 3475
71.7%
None
ValueCountFrequency (%)
· 3
100.0%
Compat Jamo
ValueCountFrequency (%)
2
100.0%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct81
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T14:09:06.714647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9948454
Min length2

Characters and Unicode

Total characters581
Distinct characters95
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

Unique36 ?
Unique (%)18.6%

Sample

1st row박홍제
2nd row박홍제
3rd row박홍제
4th row명노신
5th row김선근
ValueCountFrequency (%)
이승제 19
 
9.8%
표미경 11
 
5.7%
김지태 8
 
4.1%
강봉수 7
 
3.6%
김유환 5
 
2.6%
조상희 5
 
2.6%
박노동 5
 
2.6%
이광우 5
 
2.6%
오소영 4
 
2.1%
김지명 4
 
2.1%
Other values (71) 121
62.4%
2023-12-12T14:09:07.262979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
6.7%
33
 
5.7%
28
 
4.8%
23
 
4.0%
22
 
3.8%
16
 
2.8%
15
 
2.6%
15
 
2.6%
14
 
2.4%
13
 
2.2%
Other values (85) 363
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 581
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
39
 
6.7%
33
 
5.7%
28
 
4.8%
23
 
4.0%
22
 
3.8%
16
 
2.8%
15
 
2.6%
15
 
2.6%
14
 
2.4%
13
 
2.2%
Other values (85) 363
62.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 581
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
39
 
6.7%
33
 
5.7%
28
 
4.8%
23
 
4.0%
22
 
3.8%
16
 
2.8%
15
 
2.6%
15
 
2.6%
14
 
2.4%
13
 
2.2%
Other values (85) 363
62.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 581
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
39
 
6.7%
33
 
5.7%
28
 
4.8%
23
 
4.0%
22
 
3.8%
16
 
2.8%
15
 
2.6%
15
 
2.6%
14
 
2.4%
13
 
2.2%
Other values (85) 363
62.5%
Distinct172
Distinct (%)88.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T14:09:07.620283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length33
Mean length18.072165
Min length3

Characters and Unicode

Total characters3506
Distinct characters416
Distinct categories14 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)83.0%

Sample

1st rowLAMP 기술을 이용한 곰팡이 독소 검사키트 사업화
2nd rowDeoxynivalenol Immuno-PCR kit 제품화
3rd rowAflatoxin B1 Immuno-PCR kit 제품화
4th row고부가가치식품기술개발사업
5th row꽃송이버섯 추출물 이용한 상품개발 사업화 진행
ValueCountFrequency (%)
27
 
3.5%
개발 21
 
2.7%
사업화 14
 
1.8%
위한 11
 
1.4%
맞춤형 11
 
1.4%
이용한 10
 
1.3%
시스템 9
 
1.2%
한우 9
 
1.2%
상품화 8
 
1.0%
만두 7
 
0.9%
Other values (403) 648
83.6%
2023-12-12T14:09:08.258617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
581
 
16.6%
73
 
2.1%
61
 
1.7%
58
 
1.7%
55
 
1.6%
55
 
1.6%
53
 
1.5%
52
 
1.5%
52
 
1.5%
40
 
1.1%
Other values (406) 2426
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2492
71.1%
Space Separator 581
 
16.6%
Lowercase Letter 196
 
5.6%
Uppercase Letter 101
 
2.9%
Decimal Number 44
 
1.3%
Close Punctuation 27
 
0.8%
Open Punctuation 27
 
0.8%
Dash Punctuation 9
 
0.3%
Connector Punctuation 9
 
0.3%
Other Punctuation 9
 
0.3%
Other values (4) 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
73
 
2.9%
61
 
2.4%
58
 
2.3%
55
 
2.2%
55
 
2.2%
53
 
2.1%
52
 
2.1%
52
 
2.1%
40
 
1.6%
39
 
1.6%
Other values (342) 1954
78.4%
Lowercase Letter
ValueCountFrequency (%)
e 25
12.8%
o 24
12.2%
a 21
10.7%
t 17
 
8.7%
u 13
 
6.6%
c 12
 
6.1%
i 11
 
5.6%
n 9
 
4.6%
m 9
 
4.6%
h 8
 
4.1%
Other values (11) 47
24.0%
Uppercase Letter
ValueCountFrequency (%)
P 13
12.9%
C 13
12.9%
S 12
11.9%
M 9
8.9%
A 7
 
6.9%
E 7
 
6.9%
T 7
 
6.9%
R 5
 
5.0%
H 4
 
4.0%
B 4
 
4.0%
Other values (10) 20
19.8%
Decimal Number
ValueCountFrequency (%)
0 13
29.5%
2 13
29.5%
1 7
15.9%
3 3
 
6.8%
5 3
 
6.8%
8 2
 
4.5%
6 2
 
4.5%
7 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 3
33.3%
' 2
22.2%
/ 2
22.2%
· 1
 
11.1%
. 1
 
11.1%
Math Symbol
ValueCountFrequency (%)
~ 3
75.0%
+ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
581
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Other Symbol
ValueCountFrequency (%)
5
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2497
71.2%
Common 712
 
20.3%
Latin 297
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
73
 
2.9%
61
 
2.4%
58
 
2.3%
55
 
2.2%
55
 
2.2%
53
 
2.1%
52
 
2.1%
52
 
2.1%
40
 
1.6%
39
 
1.6%
Other values (343) 1959
78.5%
Latin
ValueCountFrequency (%)
e 25
 
8.4%
o 24
 
8.1%
a 21
 
7.1%
t 17
 
5.7%
u 13
 
4.4%
P 13
 
4.4%
C 13
 
4.4%
S 12
 
4.0%
c 12
 
4.0%
i 11
 
3.7%
Other values (31) 136
45.8%
Common
ValueCountFrequency (%)
581
81.6%
) 27
 
3.8%
( 27
 
3.8%
0 13
 
1.8%
2 13
 
1.8%
- 9
 
1.3%
_ 9
 
1.3%
1 7
 
1.0%
3 3
 
0.4%
5 3
 
0.4%
Other values (12) 20
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2492
71.1%
ASCII 1006
28.7%
None 6
 
0.2%
Punctuation 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
581
57.8%
) 27
 
2.7%
( 27
 
2.7%
e 25
 
2.5%
o 24
 
2.4%
a 21
 
2.1%
t 17
 
1.7%
0 13
 
1.3%
u 13
 
1.3%
P 13
 
1.3%
Other values (50) 245
24.4%
Hangul
ValueCountFrequency (%)
73
 
2.9%
61
 
2.4%
58
 
2.3%
55
 
2.2%
55
 
2.2%
53
 
2.1%
52
 
2.1%
52
 
2.1%
40
 
1.6%
39
 
1.6%
Other values (342) 1954
78.4%
None
ValueCountFrequency (%)
5
83.3%
· 1
 
16.7%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%

사업화년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2020
194 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 194
100.0%

Length

2023-12-12T14:09:08.400810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:09:08.530910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 194
100.0%

제품명
Text

MISSING 

Distinct167
Distinct (%)96.5%
Missing21
Missing (%)10.8%
Memory size1.6 KiB
2023-12-12T14:09:08.926271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length94
Median length26
Mean length12.693642
Min length2

Characters and Unicode

Total characters2196
Distinct characters408
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

Unique162 ?
Unique (%)93.6%

Sample

1st rowMycotoxin detection kit
2nd rowDeoxynivalenol Immuno-PCR kit
3rd rowAflatoxin B1 Immuno-PCR kit
4th row발효꽃송이버섯 특,천, 이용복 황금꽃송이발효
5th row어린이홍삼스틱외
ValueCountFrequency (%)
한우 9
 
2.0%
스테이크 9
 
2.0%
sauce 7
 
1.6%
라발란스 7
 
1.6%
발효 5
 
1.1%
첨가 5
 
1.1%
한입 5
 
1.1%
구이용 4
 
0.9%
아로니아 4
 
0.9%
쌈소스 4
 
0.9%
Other values (310) 384
86.7%
2023-12-12T14:09:09.547430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
270
 
12.3%
70
 
3.2%
56
 
2.6%
33
 
1.5%
e 28
 
1.3%
a 28
 
1.3%
26
 
1.2%
t 26
 
1.2%
24
 
1.1%
o 24
 
1.1%
Other values (398) 1611
73.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1479
67.3%
Space Separator 270
 
12.3%
Lowercase Letter 243
 
11.1%
Uppercase Letter 100
 
4.6%
Decimal Number 31
 
1.4%
Other Punctuation 23
 
1.0%
Open Punctuation 13
 
0.6%
Close Punctuation 13
 
0.6%
Other Symbol 8
 
0.4%
Connector Punctuation 8
 
0.4%
Other values (3) 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
70
 
4.7%
56
 
3.8%
33
 
2.2%
26
 
1.8%
24
 
1.6%
23
 
1.6%
23
 
1.6%
21
 
1.4%
21
 
1.4%
19
 
1.3%
Other values (337) 1163
78.6%
Lowercase Letter
ValueCountFrequency (%)
e 28
11.5%
a 28
11.5%
t 26
10.7%
o 24
9.9%
i 18
 
7.4%
u 17
 
7.0%
c 15
 
6.2%
n 14
 
5.8%
m 14
 
5.8%
r 11
 
4.5%
Other values (11) 48
19.8%
Uppercase Letter
ValueCountFrequency (%)
S 16
16.0%
C 15
15.0%
E 11
11.0%
M 10
10.0%
P 7
7.0%
R 6
 
6.0%
T 5
 
5.0%
I 5
 
5.0%
A 4
 
4.0%
H 4
 
4.0%
Other values (10) 17
17.0%
Decimal Number
ValueCountFrequency (%)
2 6
19.4%
5 6
19.4%
3 5
16.1%
1 5
16.1%
6 3
9.7%
4 2
 
6.5%
0 2
 
6.5%
8 1
 
3.2%
7 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 13
56.5%
, 8
34.8%
' 2
 
8.7%
Space Separator
ValueCountFrequency (%)
270
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Symbol
ValueCountFrequency (%)
8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1487
67.7%
Common 366
 
16.7%
Latin 343
 
15.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
70
 
4.7%
56
 
3.8%
33
 
2.2%
26
 
1.7%
24
 
1.6%
23
 
1.5%
23
 
1.5%
21
 
1.4%
21
 
1.4%
19
 
1.3%
Other values (338) 1171
78.7%
Latin
ValueCountFrequency (%)
e 28
 
8.2%
a 28
 
8.2%
t 26
 
7.6%
o 24
 
7.0%
i 18
 
5.2%
u 17
 
5.0%
S 16
 
4.7%
C 15
 
4.4%
c 15
 
4.4%
n 14
 
4.1%
Other values (31) 142
41.4%
Common
ValueCountFrequency (%)
270
73.8%
. 13
 
3.6%
( 13
 
3.6%
) 13
 
3.6%
_ 8
 
2.2%
, 8
 
2.2%
2 6
 
1.6%
5 6
 
1.6%
- 6
 
1.6%
3 5
 
1.4%
Other values (9) 18
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1479
67.3%
ASCII 707
32.2%
None 8
 
0.4%
Punctuation 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
270
38.2%
e 28
 
4.0%
a 28
 
4.0%
t 26
 
3.7%
o 24
 
3.4%
i 18
 
2.5%
u 17
 
2.4%
S 16
 
2.3%
C 15
 
2.1%
c 15
 
2.1%
Other values (48) 250
35.4%
Hangul
ValueCountFrequency (%)
70
 
4.7%
56
 
3.8%
33
 
2.2%
26
 
1.8%
24
 
1.6%
23
 
1.6%
23
 
1.6%
21
 
1.4%
21
 
1.4%
19
 
1.3%
Other values (337) 1163
78.6%
None
ValueCountFrequency (%)
8
100.0%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct121
Distinct (%)62.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2015-05-01 00:00:00
Maximum2020-12-31 00:00:00
2023-12-12T14:09:09.796263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:10.350399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T14:09:03.624272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:09:10.488858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호과제관리번호과제명연구책임자
번호1.0000.9940.9940.993
과제관리번호0.9941.0001.0001.000
과제명0.9941.0001.0001.000
연구책임자0.9931.0001.0001.000

Missing values

2023-12-12T14:09:03.823313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:09:04.010613image/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

번호분류과제관리번호과제명연구책임자사업화명사업화년도제품명제품출시일
01식품115004-3Immuno-PCR을 이용한 곰팡이 독소 정량분석키트 개발 및 사업화박홍제LAMP 기술을 이용한 곰팡이 독소 검사키트 사업화2020Mycotoxin detection kit2016-05-11
12식품115004-3Immuno-PCR을 이용한 곰팡이 독소 정량분석키트 개발 및 사업화박홍제Deoxynivalenol Immuno-PCR kit 제품화2020Deoxynivalenol Immuno-PCR kit2018-09-12
23식품115004-3Immuno-PCR을 이용한 곰팡이 독소 정량분석키트 개발 및 사업화박홍제Aflatoxin B1 Immuno-PCR kit 제품화2020Aflatoxin B1 Immuno-PCR kit2018-07-23
34식품115017-1캡슐커피의 추출원리를 응용한 5대 주요 기능성 성분이 포함된 검은콩 캡슐차의 개발명노신고부가가치식품기술개발사업2020<NA>2017-01-01
45식품116001-3꽃송이버섯을 활용한 골관절염 개선 건강기능성식품 개발김선근꽃송이버섯 추출물 이용한 상품개발 사업화 진행2020발효꽃송이버섯 특,천, 이용복 황금꽃송이발효2018-08-07
56식품116002-3보리발효추출물로부터 기능성물질 분리기술을 응용한 식품 소재개발지희숙20년 상반기 관련 제품 매출액2020어린이홍삼스틱외2019-07-10
67식품116014-3지각추출물을 이용한 기억력 개선 개별인정형 건강기능식품 개발이성권지각추출물 매출발생 (원료수출)2020Citrus aurantium extract (지각추출물)2017-04-17
78식품116014-3지각추출물을 이용한 기억력 개선 개별인정형 건강기능식품 개발이성권지각추출물 제품화 (원료수출)2020Citrus aurantium extract (지각추출물)2017-04-17
89식품116019-3하니베리의 비알콜성 간기능개선 건기식 기능성원료 개발 및 제품화 추진천윤석하니베리퍼펙트다이어트(건강기능식품)2020하니베리퍼펙트다이어트2020-04-21
910식품116019-3하니베리의 비알콜성 간기능개선 건기식 기능성원료 개발 및 제품화 추진천윤석간편하니(간 건강기능식품)2020간편하니2020-04-24
번호분류과제관리번호과제명연구책임자사업화명사업화년도제품명제품출시일
184185식품817034-3결명자발효분말의 배변활동원활 기능성원료 인정 및 건강기능식품 개발박노동산뜻하게 변할시간(가공식품)2020산뜻하게변할시간2020-06-22
185186식품818028-2비만 개선 효능이 검증된 프로바이오틱스의 조합을 이용한 인체적용시험 및 산업화 공정 개발김병국락토바실러스 플랜타럼 케이50의 시제품 생산 및 품목제조신고2020락토바실러스 플랜타럼 케이502019-12-11
186187식품818028-2비만 개선 효능이 검증된 프로바이오틱스의 조합을 이용한 인체적용시험 및 산업화 공정 개발김병국락토바실러스 플랜타럼 케이50을 활용한 완제품 생산2020유거스2020-12-31
187188식품818028-2비만 개선 효능이 검증된 프로바이오틱스의 조합을 이용한 인체적용시험 및 산업화 공정 개발김병국락토바실러스 플랜타럼 케이씨3의 시제품 생산 및 품목제조신고2020락토바실러스 플랜타럼 케이씨32019-12-13
188189식품819009-1한방재료 추출물과 팽이버섯을 이용한 양념 및 양념고기이성우최종본-기존 제품에 한방소재를 도입한 건강한 축산가공품 소스2020<NA>2020-12-31
189190식품819009-1한방재료 추출물과 팽이버섯을 이용한 양념 및 양념고기이성우최종본-기존 제품에 한방소재를 도입한 건강한 식육가공품2020<NA>2020-12-31
190191식품819014-1신기술을 이용한 상온유통 벌꿀 발효인삼·인삼열매 과립형 수출주문형 상품화 개발최혜숙신기술을 이용한 상온유통 벌꿀 발효인삼·인삼열매 과립형 수출주문형 상품화 개발2020로얄젤리 인삼잼2019-12-31
191192식품819028-1세계최초, 미세플라스틱 프리, 저나트륨, 100 프로 식물성 프리미엄 소금 “파이토솔트”의 기술사업화권미향파이토솔트(PhytoSalt)의 B2C 제품의 사업화2020파이토솔트(PhytoSalt)-B2C2020-06-15
192193식품918005-4김치 유래 기능성 유산균을 활용한 미강발효제품 개발 및 산업화장해춘김치 유래 기능성 유산균을 활용한 미강발효제품 개발 및 산업화2020리턴업 발효효소 베이직2019-11-01
193194식품918022-4유전체 연구 기반 발효식품 미생물 산업화양진오면역 조절 능력이 있는 조개젓갈유래 신규한 락토바실러스 플란타럼 182의 발효유 제품 적용2020상하목장 유기농 베이비 요구르트 3종2015-05-01