Overview

Dataset statistics

Number of variables18
Number of observations376
Missing cells168
Missing cells (%)2.5%
Duplicate rows2
Duplicate rows (%)0.5%
Total size in memory53.0 KiB
Average record size in memory144.3 B

Variable types

Text9
Categorical5
DateTime4

Dataset

Description농림식품RnD 전시 성과 정보 데이터. 과제관리번호,과제구분,내역사업명,과제명,주관기관,기업유형,전시회유형,행사명칭,주최기관,참가자,참여품목 등의 항목으로 구성
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15111922/fileData.do

Alerts

Dataset has 2 (0.5%) duplicate rowsDuplicates
과제구분 is highly overall correlated with 분야High correlation
분야 is highly overall correlated with 과제구분High correlation
참가자 has 167 (44.4%) missing valuesMissing

Reproduction

Analysis started2024-03-14 11:49:09.364174
Analysis finished2024-03-14 11:49:13.447930
Duration4.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

과제관리번호
Text

Distinct176
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-03-14T20:49:14.072775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length8.0797872
Min length8

Characters and Unicode

Total characters3038
Distinct characters16
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

Unique86 ?
Unique (%)22.9%

Sample

1st row117062-3
2nd row118009-1
3rd row118009-1
4th row118010-1
5th row118022-3
ValueCountFrequency (%)
821005-3 12
 
3.2%
321095-2 12
 
3.2%
122049-3 11
 
2.9%
320037-5 8
 
2.1%
717001-7 8
 
2.1%
821061-3 6
 
1.6%
821010-3 6
 
1.6%
321064-2 6
 
1.6%
821056-3 6
 
1.6%
421003-4 6
 
1.6%
Other values (166) 295
78.5%
2024-03-14T20:49:15.116997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 574
18.9%
0 495
16.3%
1 445
14.6%
3 441
14.5%
- 371
12.2%
4 200
 
6.6%
5 168
 
5.5%
8 118
 
3.9%
9 82
 
2.7%
7 74
 
2.4%
Other values (6) 70
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2652
87.3%
Dash Punctuation 371
 
12.2%
Uppercase Letter 15
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 574
21.6%
0 495
18.7%
1 445
16.8%
3 441
16.6%
4 200
 
7.5%
5 168
 
6.3%
8 118
 
4.4%
9 82
 
3.1%
7 74
 
2.8%
6 55
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
S 5
33.3%
B 5
33.3%
O 3
20.0%
E 1
 
6.7%
N 1
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 371
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3023
99.5%
Latin 15
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
2 574
19.0%
0 495
16.4%
1 445
14.7%
3 441
14.6%
- 371
12.3%
4 200
 
6.6%
5 168
 
5.6%
8 118
 
3.9%
9 82
 
2.7%
7 74
 
2.4%
Latin
ValueCountFrequency (%)
S 5
33.3%
B 5
33.3%
O 3
20.0%
E 1
 
6.7%
N 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3038
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 574
18.9%
0 495
16.3%
1 445
14.6%
3 441
14.5%
- 371
12.2%
4 200
 
6.6%
5 168
 
5.5%
8 118
 
3.9%
9 82
 
2.7%
7 74
 
2.4%
Other values (6) 70
 
2.3%

과제구분
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
기술사업화지원
100 
고부가가치식품기술개발
56 
스마트팜다부처패키지혁신기술개발사업
53 
노지분야스마트농업기술단기고도화
24 
유용 농생명자원 산업화 기술개발
17 
Other values (23)
126 

Length

Max length25
Median length19
Mean length13.055851
Min length7

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row고부가가치식품기술개발
2nd row고부가가치식품기술개발
3rd row고부가가치식품기술개발
4th row고부가가치식품기술개발
5th row첨단생산기술개발

Common Values

ValueCountFrequency (%)
기술사업화지원 100
26.6%
고부가가치식품기술개발 56
14.9%
스마트팜다부처패키지혁신기술개발사업 53
14.1%
노지분야스마트농업기술단기고도화 24
 
6.4%
유용 농생명자원 산업화 기술개발 17
 
4.5%
작물 바이러스 및 병해충 대응 산업화 기술개발 16
 
4.3%
농식품기술융복합 창의인재 양성 사업 10
 
2.7%
축산현안대응산업화기술개발 9
 
2.4%
친환경동력원적용농기계기술개발 8
 
2.1%
가축질병대응기술고도화지원 8
 
2.1%
Other values (18) 75
19.9%

Length

2024-03-14T20:49:15.370111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기술사업화지원 100
16.1%
고부가가치식품기술개발 56
 
9.0%
스마트팜다부처패키지혁신기술개발사업 53
 
8.5%
기술개발 45
 
7.3%
산업화 42
 
6.8%
노지분야스마트농업기술단기고도화 24
 
3.9%
유용 17
 
2.7%
농생명자원 17
 
2.7%
및 16
 
2.6%
대응 16
 
2.6%
Other values (39) 234
37.7%

내역사업명
Text

Distinct56
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-03-14T20:49:16.314752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length12.356383
Min length4

Characters and Unicode

Total characters4646
Distinct characters184
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)2.9%

Sample

1st row식품 품질관리
2nd row식품기자재
3rd row식품기자재
4th row전통웰빙식품
5th row첨단농기계생산
ValueCountFrequency (%)
사업화 99
 
9.0%
민간중심 62
 
5.6%
지원 62
 
5.6%
r&d 62
 
5.6%
기술개발 58
 
5.3%
차세대 43
 
3.9%
공공기술 37
 
3.4%
촉진 37
 
3.4%
스마트팜 27
 
2.4%
실증고도화 27
 
2.4%
Other values (102) 589
53.4%
2024-03-14T20:49:17.659578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
727
 
15.6%
기 217
 
4.7%
화 191
 
4.1%
업 170
 
3.7%
술 167
 
3.6%
개 123
 
2.6%
원 123
 
2.6%
발 112
 
2.4%
사 105
 
2.3%
지 96
 
2.1%
Other values (174) 2615
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3638
78.3%
Space Separator 727
 
15.6%
Uppercase Letter 149
 
3.2%
Other Punctuation 85
 
1.8%
Lowercase Letter 40
 
0.9%
Decimal Number 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 217
 
6.0%
화 191
 
5.3%
업 170
 
4.7%
술 167
 
4.6%
개 123
 
3.4%
원 123
 
3.4%
발 112
 
3.1%
사 105
 
2.9%
지 96
 
2.6%
공 93
 
2.6%
Other values (155) 2241
61.6%
Uppercase Letter
ValueCountFrequency (%)
D 62
41.6%
R 62
41.6%
G 11
 
7.4%
S 5
 
3.4%
C 3
 
2.0%
T 3
 
2.0%
I 3
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
e 15
37.5%
d 10
25.0%
l 5
 
12.5%
n 5
 
12.5%
o 5
 
12.5%
Other Punctuation
ValueCountFrequency (%)
& 62
72.9%
· 19
 
22.4%
, 2
 
2.4%
/ 2
 
2.4%
Decimal Number
ValueCountFrequency (%)
5 6
85.7%
1 1
 
14.3%
Space Separator
ValueCountFrequency (%)
727
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3638
78.3%
Common 819
 
17.6%
Latin 189
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 217
 
6.0%
화 191
 
5.3%
업 170
 
4.7%
술 167
 
4.6%
개 123
 
3.4%
원 123
 
3.4%
발 112
 
3.1%
사 105
 
2.9%
지 96
 
2.6%
공 93
 
2.6%
Other values (155) 2241
61.6%
Latin
ValueCountFrequency (%)
D 62
32.8%
R 62
32.8%
e 15
 
7.9%
G 11
 
5.8%
d 10
 
5.3%
l 5
 
2.6%
S 5
 
2.6%
n 5
 
2.6%
o 5
 
2.6%
C 3
 
1.6%
Other values (2) 6
 
3.2%
Common
ValueCountFrequency (%)
727
88.8%
& 62
 
7.6%
· 19
 
2.3%
5 6
 
0.7%
, 2
 
0.2%
/ 2
 
0.2%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3638
78.3%
ASCII 989
 
21.3%
None 19
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
727
73.5%
D 62
 
6.3%
& 62
 
6.3%
R 62
 
6.3%
e 15
 
1.5%
G 11
 
1.1%
d 10
 
1.0%
5 6
 
0.6%
l 5
 
0.5%
S 5
 
0.5%
Other values (8) 24
 
2.4%
Hangul
ValueCountFrequency (%)
기 217
 
6.0%
화 191
 
5.3%
업 170
 
4.7%
술 167
 
4.6%
개 123
 
3.4%
원 123
 
3.4%
발 112
 
3.1%
사 105
 
2.9%
지 96
 
2.6%
공 93
 
2.6%
Other values (155) 2241
61.6%
None
ValueCountFrequency (%)
· 19
100.0%

과제명
Text

Distinct176
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-03-14T20:49:18.912137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length50
Mean length35.167553
Min length9

Characters and Unicode

Total characters13223
Distinct characters470
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)22.9%

Sample

1st row가시광선/근적외선 스마트 IoT 휴대용 분광기 및 후각 센서를 이용한 육류의 품질 등급과 신선도를 측정할 수 있는 시스템 개발
2nd row당귀 유효식품 성분 전달시스템을 이용하여 고품질 당귀 제제 기술 개발및 산업화
3rd row당귀 유효식품 성분 전달시스템을 이용하여 고품질 당귀 제제 기술 개발및 산업화
4th row국내산 쌀과 천연재료를 활용한 헬스케어 스낵의 개발 및 상품화
5th row마늘 줄기 절단기 개발
ValueCountFrequency (%)
개발 273
 
8.1%
및 228
 
6.8%
기술 62
 
1.8%
기반 57
 
1.7%
위한 44
 
1.3%
활용한 30
 
0.9%
개선 29
 
0.9%
사업화 29
 
0.9%
시스템 29
 
0.9%
기능성 28
 
0.8%
Other values (860) 2561
76.0%
2024-03-14T20:49:20.704135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2994
 
22.6%
개 405
 
3.1%
발 363
 
2.7%
기 321
 
2.4%
및 230
 
1.7%
용 195
 
1.5%
스 179
 
1.4%
화 165
 
1.2%
이 156
 
1.2%
한 141
 
1.1%
Other values (460) 8074
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9622
72.8%
Space Separator 2994
 
22.6%
Uppercase Letter 151
 
1.1%
Other Punctuation 112
 
0.8%
Lowercase Letter 111
 
0.8%
Decimal Number 98
 
0.7%
Open Punctuation 64
 
0.5%
Close Punctuation 63
 
0.5%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 405
 
4.2%
발 363
 
3.8%
기 321
 
3.3%
및 230
 
2.4%
용 195
 
2.0%
스 179
 
1.9%
화 165
 
1.7%
이 156
 
1.6%
한 141
 
1.5%
술 137
 
1.4%
Other values (396) 7330
76.2%
Uppercase Letter
ValueCountFrequency (%)
E 14
 
9.3%
W 12
 
7.9%
C 12
 
7.9%
T 11
 
7.3%
I 10
 
6.6%
P 10
 
6.6%
D 10
 
6.6%
O 8
 
5.3%
V 8
 
5.3%
G 7
 
4.6%
Other values (12) 49
32.5%
Lowercase Letter
ValueCountFrequency (%)
l 16
14.4%
k 14
12.6%
m 13
11.7%
o 12
10.8%
n 7
 
6.3%
t 7
 
6.3%
e 6
 
5.4%
i 5
 
4.5%
u 5
 
4.5%
a 5
 
4.5%
Other values (11) 21
18.9%
Decimal Number
ValueCountFrequency (%)
3 21
21.4%
5 19
19.4%
1 17
17.3%
0 16
16.3%
4 9
9.2%
2 8
 
8.2%
6 4
 
4.1%
7 2
 
2.0%
8 1
 
1.0%
9 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 54
48.2%
· 29
25.9%
. 15
 
13.4%
/ 12
 
10.7%
@ 2
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 46
71.9%
[ 18
 
28.1%
Close Punctuation
ValueCountFrequency (%)
) 45
71.4%
] 18
 
28.6%
Space Separator
ValueCountFrequency (%)
2994
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9622
72.8%
Common 3339
 
25.3%
Latin 262
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 405
 
4.2%
발 363
 
3.8%
기 321
 
3.3%
및 230
 
2.4%
용 195
 
2.0%
스 179
 
1.9%
화 165
 
1.7%
이 156
 
1.6%
한 141
 
1.5%
술 137
 
1.4%
Other values (396) 7330
76.2%
Latin
ValueCountFrequency (%)
l 16
 
6.1%
k 14
 
5.3%
E 14
 
5.3%
m 13
 
5.0%
W 12
 
4.6%
C 12
 
4.6%
o 12
 
4.6%
T 11
 
4.2%
I 10
 
3.8%
P 10
 
3.8%
Other values (33) 138
52.7%
Common
ValueCountFrequency (%)
2994
89.7%
, 54
 
1.6%
( 46
 
1.4%
) 45
 
1.3%
· 29
 
0.9%
3 21
 
0.6%
5 19
 
0.6%
[ 18
 
0.5%
] 18
 
0.5%
1 17
 
0.5%
Other values (11) 78
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9622
72.8%
ASCII 3572
 
27.0%
None 29
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2994
83.8%
, 54
 
1.5%
( 46
 
1.3%
) 45
 
1.3%
3 21
 
0.6%
5 19
 
0.5%
[ 18
 
0.5%
] 18
 
0.5%
1 17
 
0.5%
0 16
 
0.4%
Other values (53) 324
 
9.1%
Hangul
ValueCountFrequency (%)
개 405
 
4.2%
발 363
 
3.8%
기 321
 
3.3%
및 230
 
2.4%
용 195
 
2.0%
스 179
 
1.9%
화 165
 
1.7%
이 156
 
1.6%
한 141
 
1.5%
술 137
 
1.4%
Other values (396) 7330
76.2%
None
ValueCountFrequency (%)
· 29
100.0%

주관기관
Text

Distinct136
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-03-14T20:49:21.566047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length9.3856383
Min length2

Characters and Unicode

Total characters3529
Distinct characters217
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)14.4%

Sample

1st row(주)스트라티오코리아
2nd row주식회사 엔자임바이오
3rd row주식회사 엔자임바이오
4th row농업회사법인 명서제분 주식회사
5th row불스
ValueCountFrequency (%)
산학협력단 60
 
11.2%
주식회사 50
 
9.3%
농업회사법인 27
 
5.0%
경북대학교 15
 
2.8%
불스 15
 
2.8%
푸디웜주식회사 12
 
2.2%
전남대학교 12
 
2.2%
바이오통 11
 
2.1%
크랍사이언스(주 11
 
2.1%
한국생산기술연구원 10
 
1.9%
Other values (137) 312
58.3%
2024-03-14T20:49:22.870206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 182
 
5.2%
161
 
4.6%
학 157
 
4.4%
사 131
 
3.7%
( 113
 
3.2%
) 113
 
3.2%
회 110
 
3.1%
산 94
 
2.7%
원 92
 
2.6%
식 86
 
2.4%
Other values (207) 2290
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3138
88.9%
Space Separator 161
 
4.6%
Open Punctuation 113
 
3.2%
Close Punctuation 113
 
3.2%
Uppercase Letter 3
 
0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 182
 
5.8%
학 157
 
5.0%
사 131
 
4.2%
회 110
 
3.5%
산 94
 
3.0%
원 92
 
2.9%
식 86
 
2.7%
국 78
 
2.5%
대 78
 
2.5%
이 76
 
2.4%
Other values (200) 2054
65.5%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
P 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3138
88.9%
Common 388
 
11.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 182
 
5.8%
학 157
 
5.0%
사 131
 
4.2%
회 110
 
3.5%
산 94
 
3.0%
원 92
 
2.9%
식 86
 
2.7%
국 78
 
2.5%
대 78
 
2.5%
이 76
 
2.4%
Other values (200) 2054
65.5%
Common
ValueCountFrequency (%)
161
41.5%
( 113
29.1%
) 113
29.1%
2 1
 
0.3%
Latin
ValueCountFrequency (%)
S 1
33.3%
P 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3138
88.9%
ASCII 391
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 182
 
5.8%
학 157
 
5.0%
사 131
 
4.2%
회 110
 
3.5%
산 94
 
3.0%
원 92
 
2.9%
식 86
 
2.7%
국 78
 
2.5%
대 78
 
2.5%
이 76
 
2.4%
Other values (200) 2054
65.5%
ASCII
ValueCountFrequency (%)
161
41.2%
( 113
28.9%
) 113
28.9%
2 1
 
0.3%
S 1
 
0.3%
P 1
 
0.3%
C 1
 
0.3%

기업유형
Categorical

Distinct10
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
중소기업
201 
대학
64 
정부출연기관
37 
정부기관
23 
중소기업연구소
 
13
Other values (5)
38 

Length

Max length7
Median length4
Mean length3.9228723
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중소기업 201
53.5%
대학 64
 
17.0%
정부출연기관 37
 
9.8%
정부기관 23
 
6.1%
중소기업연구소 13
 
3.5%
기타 10
 
2.7%
중견기업 9
 
2.4%
대기업 8
 
2.1%
정부보조기관 7
 
1.9%
<NA> 4
 
1.1%

Length

2024-03-14T20:49:23.280473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:49:23.641520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중소기업 201
53.5%
대학 64
 
17.0%
정부출연기관 37
 
9.8%
정부기관 23
 
6.1%
중소기업연구소 13
 
3.5%
기타 10
 
2.7%
중견기업 9
 
2.4%
대기업 8
 
2.1%
정부보조기관 7
 
1.9%
na 4
 
1.1%

분야
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
농림식품 기계ㆍ시스템
118 
농산
71 
식품
65 
농림식품 융복합
47 
축산
36 
Other values (3)
39 

Length

Max length11
Median length10
Mean length6.0478723
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농림식품 기계ㆍ시스템 118
31.4%
농산 71
18.9%
식품 65
17.3%
농림식품 융복합 47
 
12.5%
축산 36
 
9.6%
농림식품 환경생태 22
 
5.9%
수의 14
 
3.7%
농림식품 경제ㆍ사회 3
 
0.8%

Length

2024-03-14T20:49:24.069239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:49:24.424027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림식품 190
33.6%
기계ㆍ시스템 118
20.8%
농산 71
 
12.5%
식품 65
 
11.5%
융복합 47
 
8.3%
축산 36
 
6.4%
환경생태 22
 
3.9%
수의 14
 
2.5%
경제ㆍ사회 3
 
0.5%

과제시작년도
Date

Distinct28
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2015-08-14 00:00:00
Maximum2022-04-08 00:00:00
2024-03-14T20:49:24.816120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:49:25.183059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

과제종료년도
Date

Distinct24
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2018-08-13 00:00:00
Maximum2026-12-31 00:00:00
2024-03-14T20:49:25.530460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:49:25.930979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

시작일
Date

Distinct132
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2023-01-18 00:00:00
Maximum2023-12-12 00:00:00
2024-03-14T20:49:26.307903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:49:26.731307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료일
Date

Distinct135
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2023-01-19 00:00:00
Maximum2023-12-25 00:00:00
2024-03-14T20:49:27.120433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:49:27.481122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전시회유형명
Categorical

Distinct4
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
전시회
226 
박람회
101 
기타
26 
제품설명회
23 

Length

Max length5
Median length3
Mean length3.0531915
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전시회
2nd row기타
3rd row박람회
4th row박람회
5th row제품설명회

Common Values

ValueCountFrequency (%)
전시회 226
60.1%
박람회 101
26.9%
기타 26
 
6.9%
제품설명회 23
 
6.1%

Length

2024-03-14T20:49:27.775807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:49:28.118505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전시회 226
60.1%
박람회 101
26.9%
기타 26
 
6.9%
제품설명회 23
 
6.1%

행사명칭
Text

Distinct299
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-03-14T20:49:28.948995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length39
Mean length18.058511
Min length4

Characters and Unicode

Total characters6790
Distinct characters351
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique262 ?
Unique (%)69.7%

Sample

1st row벤처·스타트업 박람회 Nextrise
2nd row2023 해외 바이어 초청 통합 수출상담회
3rd row2023해외바이어초청통합수출상담회
4th row쌀가공식품산업대전
5th row2023년 마늘 수확 기계화 기술현장 연시회
ValueCountFrequency (%)
2023 204
 
17.5%
과학기술대전 28
 
2.4%
농림축산식품 27
 
2.3%
2023년 22
 
1.9%
asia 22
 
1.9%
박람회 16
 
1.4%
after 13
 
1.1%
국제농업박람회 11
 
0.9%
전시회 10
 
0.9%
및 9
 
0.8%
Other values (492) 805
69.0%
2024-03-14T20:49:30.003131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
792
 
11.7%
2 526
 
7.7%
3 263
 
3.9%
0 259
 
3.8%
회 222
 
3.3%
국 128
 
1.9%
제 115
 
1.7%
A 111
 
1.6%
농 103
 
1.5%
e 101
 
1.5%
Other values (341) 4170
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3307
48.7%
Decimal Number 1083
 
15.9%
Space Separator 792
 
11.7%
Lowercase Letter 761
 
11.2%
Uppercase Letter 727
 
10.7%
Other Punctuation 34
 
0.5%
Open Punctuation 32
 
0.5%
Close Punctuation 30
 
0.4%
Dash Punctuation 22
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 222
 
6.7%
국 128
 
3.9%
제 115
 
3.5%
농 103
 
3.1%
전 100
 
3.0%
산 99
 
3.0%
업 99
 
3.0%
기 97
 
2.9%
박 94
 
2.8%
람 93
 
2.8%
Other values (269) 2157
65.2%
Uppercase Letter
ValueCountFrequency (%)
A 111
15.3%
E 77
10.6%
I 58
 
8.0%
T 55
 
7.6%
R 46
 
6.3%
F 41
 
5.6%
K 40
 
5.5%
O 38
 
5.2%
S 38
 
5.2%
G 32
 
4.4%
Other values (15) 191
26.3%
Lowercase Letter
ValueCountFrequency (%)
e 101
13.3%
a 84
11.0%
i 80
10.5%
n 65
8.5%
t 63
8.3%
r 61
8.0%
o 59
 
7.8%
s 46
 
6.0%
h 26
 
3.4%
l 25
 
3.3%
Other values (13) 151
19.8%
Decimal Number
ValueCountFrequency (%)
2 526
48.6%
3 263
24.3%
0 259
23.9%
1 17
 
1.6%
8 9
 
0.8%
5 4
 
0.4%
7 3
 
0.3%
4 1
 
0.1%
9 1
 
0.1%
Other Punctuation
ValueCountFrequency (%)
& 13
38.2%
, 9
26.5%
! 5
 
14.7%
· 4
 
11.8%
＆ 1
 
2.9%
. 1
 
2.9%
' 1
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 31
96.9%
[ 1
 
3.1%
Close Punctuation
ValueCountFrequency (%)
) 29
96.7%
] 1
 
3.3%
Space Separator
ValueCountFrequency (%)
792
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3291
48.5%
Common 1995
29.4%
Latin 1488
21.9%
Han 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 222
 
6.7%
국 128
 
3.9%
제 115
 
3.5%
농 103
 
3.1%
전 100
 
3.0%
산 99
 
3.0%
업 99
 
3.0%
기 97
 
2.9%
박 94
 
2.9%
람 93
 
2.8%
Other values (260) 2141
65.1%
Latin
ValueCountFrequency (%)
A 111
 
7.5%
e 101
 
6.8%
a 84
 
5.6%
i 80
 
5.4%
E 77
 
5.2%
n 65
 
4.4%
t 63
 
4.2%
r 61
 
4.1%
o 59
 
4.0%
I 58
 
3.9%
Other values (38) 729
49.0%
Common
ValueCountFrequency (%)
792
39.7%
2 526
26.4%
3 263
 
13.2%
0 259
 
13.0%
( 31
 
1.6%
) 29
 
1.5%
- 22
 
1.1%
1 17
 
0.9%
& 13
 
0.7%
8 9
 
0.5%
Other values (14) 34
 
1.7%
Han
ValueCountFrequency (%)
二 4
25.0%
第 3
18.8%
大 2
12.5%
十 2
12.5%
辣 1
 
6.2%
椒 1
 
6.2%
博 1
 
6.2%
遵 1
 
6.2%
州 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3477
51.2%
Hangul 3291
48.5%
CJK 16
 
0.2%
None 5
 
0.1%
Geometric Shapes 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
792
22.8%
2 526
15.1%
3 263
 
7.6%
0 259
 
7.4%
A 111
 
3.2%
e 101
 
2.9%
a 84
 
2.4%
i 80
 
2.3%
E 77
 
2.2%
n 65
 
1.9%
Other values (59) 1119
32.2%
Hangul
ValueCountFrequency (%)
회 222
 
6.7%
국 128
 
3.9%
제 115
 
3.5%
농 103
 
3.1%
전 100
 
3.0%
산 99
 
3.0%
업 99
 
3.0%
기 97
 
2.9%
박 94
 
2.9%
람 93
 
2.8%
Other values (260) 2141
65.1%
CJK
ValueCountFrequency (%)
二 4
25.0%
第 3
18.8%
大 2
12.5%
十 2
12.5%
辣 1
 
6.2%
椒 1
 
6.2%
博 1
 
6.2%
遵 1
 
6.2%
州 1
 
6.2%
None
ValueCountFrequency (%)
· 4
80.0%
＆ 1
 
20.0%
Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

주최기관
Text

Distinct244
Distinct (%)65.1%
Missing1
Missing (%)0.3%
Memory size3.1 KiB
2024-03-14T20:49:30.905648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length33
Mean length11.005333
Min length1

Characters and Unicode

Total characters4127
Distinct characters325
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

Unique189 ?
Unique (%)50.4%

Sample

1st rowKDB 산업은행, 벤처기업협회, LG 사이언스파크 등
2nd row강원도경제진흥원
3rd row강원도
4th row쌀가공식품협회
5th row의성군 농업기술센터
ValueCountFrequency (%)
농업회사법인 18
 
3.1%
농림축산식품부 17
 
3.0%
한국농업기술진흥원 15
 
2.6%
한국농기계공업협동조합 13
 
2.3%
농림식품기술기획평가원 12
 
2.1%
푸디웜(주 12
 
2.1%
kotra 11
 
1.9%
조직위원회 8
 
1.4%
주)피피에스 7
 
1.2%
ltd 6
 
1.0%
Other values (312) 456
79.3%
2024-03-14T20:49:32.279866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200
 
4.8%
농 113
 
2.7%
국 107
 
2.6%
회 100
 
2.4%
기 98
 
2.4%
한 92
 
2.2%
업 92
 
2.2%
원 87
 
2.1%
( 84
 
2.0%
) 84
 
2.0%
Other values (315) 3070
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3002
72.7%
Lowercase Letter 398
 
9.6%
Uppercase Letter 245
 
5.9%
Space Separator 200
 
4.8%
Other Punctuation 86
 
2.1%
Open Punctuation 84
 
2.0%
Close Punctuation 84
 
2.0%
Decimal Number 21
 
0.5%
Other Symbol 5
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 113
 
3.8%
국 107
 
3.6%
회 100
 
3.3%
기 98
 
3.3%
한 92
 
3.1%
업 92
 
3.1%
원 87
 
2.9%
주 81
 
2.7%
산 65
 
2.2%
사 60
 
2.0%
Other values (258) 2107
70.2%
Uppercase Letter
ValueCountFrequency (%)
K 28
11.4%
A 24
9.8%
T 22
 
9.0%
O 21
 
8.6%
R 19
 
7.8%
I 19
 
7.8%
E 16
 
6.5%
N 16
 
6.5%
C 14
 
5.7%
M 10
 
4.1%
Other values (13) 56
22.9%
Lowercase Letter
ValueCountFrequency (%)
a 46
11.6%
o 42
10.6%
i 42
10.6%
e 35
8.8%
n 33
 
8.3%
t 33
 
8.3%
s 28
 
7.0%
r 26
 
6.5%
d 15
 
3.8%
c 14
 
3.5%
Other values (12) 84
21.1%
Other Punctuation
ValueCountFrequency (%)
, 68
79.1%
. 9
 
10.5%
/ 6
 
7.0%
· 3
 
3.5%
Decimal Number
ValueCountFrequency (%)
2 11
52.4%
3 5
23.8%
0 5
23.8%
Space Separator
ValueCountFrequency (%)
200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3005
72.8%
Latin 643
 
15.6%
Common 477
 
11.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 113
 
3.8%
국 107
 
3.6%
회 100
 
3.3%
기 98
 
3.3%
한 92
 
3.1%
업 92
 
3.1%
원 87
 
2.9%
주 81
 
2.7%
산 65
 
2.2%
사 60
 
2.0%
Other values (257) 2110
70.2%
Latin
ValueCountFrequency (%)
a 46
 
7.2%
o 42
 
6.5%
i 42
 
6.5%
e 35
 
5.4%
n 33
 
5.1%
t 33
 
5.1%
s 28
 
4.4%
K 28
 
4.4%
r 26
 
4.0%
A 24
 
3.7%
Other values (35) 306
47.6%
Common
ValueCountFrequency (%)
200
41.9%
( 84
17.6%
) 84
17.6%
, 68
 
14.3%
2 11
 
2.3%
. 9
 
1.9%
/ 6
 
1.3%
3 5
 
1.0%
0 5
 
1.0%
· 3
 
0.6%
Han
ValueCountFrequency (%)
州 1
50.0%
大 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3000
72.7%
ASCII 1117
 
27.1%
None 8
 
0.2%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200
17.9%
( 84
 
7.5%
) 84
 
7.5%
, 68
 
6.1%
a 46
 
4.1%
o 42
 
3.8%
i 42
 
3.8%
e 35
 
3.1%
n 33
 
3.0%
t 33
 
3.0%
Other values (45) 450
40.3%
Hangul
ValueCountFrequency (%)
농 113
 
3.8%
국 107
 
3.6%
회 100
 
3.3%
기 98
 
3.3%
한 92
 
3.1%
업 92
 
3.1%
원 87
 
2.9%
주 81
 
2.7%
산 65
 
2.2%
사 60
 
2.0%
Other values (256) 2105
70.2%
None
ValueCountFrequency (%)
㈜ 5
62.5%
· 3
37.5%
CJK
ValueCountFrequency (%)
州 1
50.0%
大 1
50.0%

참가자
Text

MISSING 

Distinct132
Distinct (%)63.2%
Missing167
Missing (%)44.4%
Memory size3.1 KiB
2024-03-14T20:49:33.117065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length24
Mean length8.2583732
Min length2

Characters and Unicode

Total characters1726
Distinct characters248
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

Unique94 ?
Unique (%)45.0%

Sample

1st row(줐)스트라티오코리아
2nd row고피자
3rd row(주)하임스내츄라
4th row(주)정심식품
5th row샘표식품 주식회사
ValueCountFrequency (%)
주식회사 20
 
5.9%
펫사업부 9
 
2.6%
우신 7
 
2.1%
무궁화농원 7
 
2.1%
등 6
 
1.8%
정성깃든 6
 
1.8%
우진비앤지(주 5
 
1.5%
및 5
 
1.5%
농가 5
 
1.5%
토마토 5
 
1.5%
Other values (185) 266
78.0%
2024-03-14T20:49:34.353767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
 
7.6%
주 86
 
5.0%
) 62
 
3.6%
( 62
 
3.6%
사 46
 
2.7%
원 41
 
2.4%
스 34
 
2.0%
업 33
 
1.9%
회 33
 
1.9%
대 30
 
1.7%
Other values (238) 1167
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1402
81.2%
Space Separator 132
 
7.6%
Close Punctuation 62
 
3.6%
Open Punctuation 62
 
3.6%
Decimal Number 25
 
1.4%
Other Punctuation 20
 
1.2%
Lowercase Letter 12
 
0.7%
Uppercase Letter 8
 
0.5%
Dash Punctuation 2
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 86
 
6.1%
사 46
 
3.3%
원 41
 
2.9%
스 34
 
2.4%
업 33
 
2.4%
회 33
 
2.4%
대 30
 
2.1%
식 28
 
2.0%
자 26
 
1.9%
농 25
 
1.8%
Other values (212) 1020
72.8%
Decimal Number
ValueCountFrequency (%)
1 8
32.0%
0 7
28.0%
2 4
16.0%
5 2
 
8.0%
7 2
 
8.0%
4 1
 
4.0%
6 1
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
K 3
37.5%
H 1
 
12.5%
S 1
 
12.5%
E 1
 
12.5%
T 1
 
12.5%
I 1
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
o 2
16.7%
i 2
16.7%
j 2
16.7%
d 2
16.7%
a 2
16.7%
r 2
16.7%
Other Punctuation
ValueCountFrequency (%)
, 18
90.0%
/ 2
 
10.0%
Space Separator
ValueCountFrequency (%)
132
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1403
81.3%
Common 303
 
17.6%
Latin 20
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 86
 
6.1%
사 46
 
3.3%
원 41
 
2.9%
스 34
 
2.4%
업 33
 
2.4%
회 33
 
2.4%
대 30
 
2.1%
식 28
 
2.0%
자 26
 
1.9%
농 25
 
1.8%
Other values (213) 1021
72.8%
Common
ValueCountFrequency (%)
132
43.6%
) 62
20.5%
( 62
20.5%
, 18
 
5.9%
1 8
 
2.6%
0 7
 
2.3%
2 4
 
1.3%
5 2
 
0.7%
/ 2
 
0.7%
7 2
 
0.7%
Other values (3) 4
 
1.3%
Latin
ValueCountFrequency (%)
K 3
15.0%
o 2
10.0%
i 2
10.0%
j 2
10.0%
d 2
10.0%
a 2
10.0%
r 2
10.0%
H 1
 
5.0%
S 1
 
5.0%
E 1
 
5.0%
Other values (2) 2
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1402
81.2%
ASCII 323
 
18.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
40.9%
) 62
19.2%
( 62
19.2%
, 18
 
5.6%
1 8
 
2.5%
0 7
 
2.2%
2 4
 
1.2%
K 3
 
0.9%
5 2
 
0.6%
/ 2
 
0.6%
Other values (15) 23
 
7.1%
Hangul
ValueCountFrequency (%)
주 86
 
6.1%
사 46
 
3.3%
원 41
 
2.9%
스 34
 
2.4%
업 33
 
2.4%
회 33
 
2.4%
대 30
 
2.1%
식 28
 
2.0%
자 26
 
1.9%
농 25
 
1.8%
Other values (212) 1020
72.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

참여품목
Text

Distinct252
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-03-14T20:49:35.221932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length37
Mean length13.375
Min length1

Characters and Unicode

Total characters5029
Distinct characters451
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

Unique193 ?
Unique (%)51.3%

Sample

1st row근적외선 카메라
2nd row홍조띤미인,쿨쿨자
3rd row홍조띤미인외
4th row곡류가공품/과자류
5th row마늘줄기 절단기
ValueCountFrequency (%)
및 48
 
4.4%
외 17
 
1.6%
등 15
 
1.4%
무궁화신품종 12
 
1.1%
시스템 12
 
1.1%
기술 11
 
1.0%
코어덴탈츄 11
 
1.0%
라포그플러스 9
 
0.8%
스마트팜 8
 
0.7%
포스터 8
 
0.7%
Other values (567) 932
86.1%
2024-03-14T20:49:36.562173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
710
 
14.1%
, 162
 
3.2%
기 128
 
2.5%
스 124
 
2.5%
품 67
 
1.3%
시 59
 
1.2%
제 59
 
1.2%
이 55
 
1.1%
트 53
 
1.1%
업 52
 
1.0%
Other values (441) 3560
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3660
72.8%
Space Separator 710
 
14.1%
Lowercase Letter 206
 
4.1%
Uppercase Letter 176
 
3.5%
Other Punctuation 174
 
3.5%
Decimal Number 51
 
1.0%
Open Punctuation 24
 
0.5%
Close Punctuation 18
 
0.4%
Dash Punctuation 5
 
0.1%
Connector Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 128
 
3.5%
스 124
 
3.4%
품 67
 
1.8%
시 59
 
1.6%
제 59
 
1.6%
이 55
 
1.5%
트 53
 
1.4%
업 52
 
1.4%
및 49
 
1.3%
농 47
 
1.3%
Other values (377) 2967
81.1%
Lowercase Letter
ValueCountFrequency (%)
e 27
13.1%
o 20
 
9.7%
s 17
 
8.3%
r 16
 
7.8%
i 16
 
7.8%
n 14
 
6.8%
p 12
 
5.8%
d 11
 
5.3%
a 10
 
4.9%
l 10
 
4.9%
Other values (14) 53
25.7%
Uppercase Letter
ValueCountFrequency (%)
C 20
11.4%
I 16
 
9.1%
S 16
 
9.1%
T 14
 
8.0%
H 12
 
6.8%
A 12
 
6.8%
D 11
 
6.2%
E 10
 
5.7%
N 9
 
5.1%
V 9
 
5.1%
Other values (12) 47
26.7%
Decimal Number
ValueCountFrequency (%)
0 20
39.2%
1 10
19.6%
3 6
 
11.8%
2 5
 
9.8%
4 4
 
7.8%
8 2
 
3.9%
7 2
 
3.9%
5 1
 
2.0%
9 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 162
93.1%
/ 10
 
5.7%
· 1
 
0.6%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
710
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3660
72.8%
Common 987
 
19.6%
Latin 382
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 128
 
3.5%
스 124
 
3.4%
품 67
 
1.8%
시 59
 
1.6%
제 59
 
1.6%
이 55
 
1.5%
트 53
 
1.4%
업 52
 
1.4%
및 49
 
1.3%
농 47
 
1.3%
Other values (377) 2967
81.1%
Latin
ValueCountFrequency (%)
e 27
 
7.1%
o 20
 
5.2%
C 20
 
5.2%
s 17
 
4.5%
I 16
 
4.2%
r 16
 
4.2%
i 16
 
4.2%
S 16
 
4.2%
n 14
 
3.7%
T 14
 
3.7%
Other values (36) 206
53.9%
Common
ValueCountFrequency (%)
710
71.9%
, 162
 
16.4%
( 24
 
2.4%
0 20
 
2.0%
) 18
 
1.8%
1 10
 
1.0%
/ 10
 
1.0%
3 6
 
0.6%
- 5
 
0.5%
_ 5
 
0.5%
Other values (8) 17
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3660
72.8%
ASCII 1368
 
27.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
710
51.9%
, 162
 
11.8%
e 27
 
2.0%
( 24
 
1.8%
o 20
 
1.5%
0 20
 
1.5%
C 20
 
1.5%
) 18
 
1.3%
s 17
 
1.2%
I 16
 
1.2%
Other values (53) 334
24.4%
Hangul
ValueCountFrequency (%)
기 128
 
3.5%
스 124
 
3.4%
품 67
 
1.8%
시 59
 
1.6%
제 59
 
1.6%
이 55
 
1.5%
트 53
 
1.4%
업 52
 
1.4%
및 49
 
1.3%
농 47
 
1.3%
Other values (377) 2967
81.1%
None
ValueCountFrequency (%)
· 1
100.0%

국내외구분명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
국내
300 
국외
76 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내 300
79.8%
국외 76
 
20.2%

Length

2024-03-14T20:49:36.786041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:49:37.210487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내 300
79.8%
국외 76
 
20.2%

장소
Text

Distinct257
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-03-14T20:49:38.207309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length27
Mean length9.5691489
Min length1

Characters and Unicode

Total characters3598
Distinct characters338
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)56.1%

Sample

1st row코엑스
2nd row온라인
3rd row강릉세인트조인스호텔
4th row일산 킨텍스
5th row의성군 농업기술센터
ValueCountFrequency (%)
수원컨벤션센터 30
 
4.0%
코엑스 24
 
3.2%
서울 19
 
2.6%
일원 15
 
2.0%
김대중컨벤션센터 14
 
1.9%
익산시 11
 
1.5%
대구 11
 
1.5%
컨벤션센터 11
 
1.5%
킨텍스 11
 
1.5%
일본 10
 
1.3%
Other values (360) 586
79.0%
2024-03-14T20:49:39.649342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
368
 
10.2%
원 102
 
2.8%
센 97
 
2.7%
터 97
 
2.7%
컨 78
 
2.2%
벤 78
 
2.2%
션 76
 
2.1%
스 74
 
2.1%
시 65
 
1.8%
대 59
 
1.6%
Other values (328) 2504
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2585
71.8%
Space Separator 368
 
10.2%
Lowercase Letter 277
 
7.7%
Uppercase Letter 260
 
7.2%
Decimal Number 31
 
0.9%
Close Punctuation 28
 
0.8%
Open Punctuation 27
 
0.8%
Other Punctuation 22
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 102
 
3.9%
센 97
 
3.8%
터 97
 
3.8%
컨 78
 
3.0%
벤 78
 
3.0%
션 76
 
2.9%
스 74
 
2.9%
시 65
 
2.5%
대 59
 
2.3%
산 58
 
2.2%
Other values (269) 1801
69.7%
Uppercase Letter
ValueCountFrequency (%)
C 52
20.0%
E 32
12.3%
O 23
 
8.8%
X 18
 
6.9%
T 17
 
6.5%
A 15
 
5.8%
I 15
 
5.8%
N 11
 
4.2%
S 10
 
3.8%
M 9
 
3.5%
Other values (14) 58
22.3%
Lowercase Letter
ValueCountFrequency (%)
e 38
13.7%
o 32
11.6%
n 32
11.6%
a 25
9.0%
i 24
8.7%
t 22
 
7.9%
r 15
 
5.4%
g 12
 
4.3%
s 11
 
4.0%
l 9
 
3.2%
Other values (12) 57
20.6%
Decimal Number
ValueCountFrequency (%)
1 12
38.7%
2 9
29.0%
3 5
16.1%
5 2
 
6.5%
0 1
 
3.2%
4 1
 
3.2%
6 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 20
90.9%
& 1
 
4.5%
· 1
 
4.5%
Space Separator
ValueCountFrequency (%)
368
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2583
71.8%
Latin 537
 
14.9%
Common 476
 
13.2%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 102
 
3.9%
센 97
 
3.8%
터 97
 
3.8%
컨 78
 
3.0%
벤 78
 
3.0%
션 76
 
2.9%
스 74
 
2.9%
시 65
 
2.5%
대 59
 
2.3%
산 58
 
2.2%
Other values (267) 1799
69.6%
Latin
ValueCountFrequency (%)
C 52
 
9.7%
e 38
 
7.1%
o 32
 
6.0%
n 32
 
6.0%
E 32
 
6.0%
a 25
 
4.7%
i 24
 
4.5%
O 23
 
4.3%
t 22
 
4.1%
X 18
 
3.4%
Other values (36) 239
44.5%
Common
ValueCountFrequency (%)
368
77.3%
) 28
 
5.9%
( 27
 
5.7%
, 20
 
4.2%
1 12
 
2.5%
2 9
 
1.9%
3 5
 
1.1%
5 2
 
0.4%
& 1
 
0.2%
· 1
 
0.2%
Other values (3) 3
 
0.6%
Han
ValueCountFrequency (%)
州 1
50.0%
大 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2583
71.8%
ASCII 1012
 
28.1%
CJK 2
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
368
36.4%
C 52
 
5.1%
e 38
 
3.8%
o 32
 
3.2%
n 32
 
3.2%
E 32
 
3.2%
) 28
 
2.8%
( 27
 
2.7%
a 25
 
2.5%
i 24
 
2.4%
Other values (48) 354
35.0%
Hangul
ValueCountFrequency (%)
원 102
 
3.9%
센 97
 
3.8%
터 97
 
3.8%
컨 78
 
3.0%
벤 78
 
3.0%
션 76
 
2.9%
스 74
 
2.9%
시 65
 
2.5%
대 59
 
2.3%
산 58
 
2.2%
Other values (267) 1799
69.6%
CJK
ValueCountFrequency (%)
州 1
50.0%
大 1
50.0%
None
ValueCountFrequency (%)
· 1
100.0%

Correlations

2024-03-14T20:49:39.916533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과제구분내역사업명기업유형분야과제시작년도과제종료년도전시회유형명국내외구분명
과제구분1.0001.0000.8300.8950.9860.9480.4260.279
내역사업명1.0001.0000.8830.9440.9970.9900.5400.420
기업유형0.8300.8831.0000.5440.8240.4860.2110.187
분야0.8950.9440.5441.0000.8140.6070.3920.223
과제시작년도0.9860.9970.8240.8141.0000.9770.4150.329
과제종료년도0.9480.9900.4860.6070.9771.0000.0540.183
전시회유형명0.4260.5400.2110.3920.4150.0541.0000.075
국내외구분명0.2790.4200.1870.2230.3290.1830.0751.000
2024-03-14T20:49:40.212133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야전시회유형명국내외구분명과제구분기업유형
분야1.0000.1820.1660.5990.304
전시회유형명0.1821.0000.0500.2060.135
국내외구분명0.1660.0501.0000.2140.185
과제구분0.5990.2060.2141.0000.479
기업유형0.3040.1350.1850.4791.000
2024-03-14T20:49:40.479404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과제구분기업유형분야전시회유형명국내외구분명
과제구분1.0000.4790.5990.2060.214
기업유형0.4791.0000.3040.1350.185
분야0.5990.3041.0000.1820.166
전시회유형명0.2060.1350.1821.0000.050
국내외구분명0.2140.1850.1660.0501.000

Missing values

2024-03-14T20:49:12.257555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:49:12.940984image/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.
2024-03-14T20:49:13.346151image/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

과제관리번호과제구분내역사업명과제명주관기관기업유형분야과제시작년도과제종료년도시작일종료일전시회유형명행사명칭주최기관참가자참여품목국내외구분명장소
0117062-3고부가가치식품기술개발식품 품질관리가시광선/근적외선 스마트 IoT 휴대용 분광기 및 후각 센서를 이용한 육류의 품질 등급과 신선도를 측정할 수 있는 시스템 개발(주)스트라티오코리아중소기업농림식품 기계ㆍ시스템2017-06-152019-12-312023-06-012023-06-02전시회벤처·스타트업 박람회 NextriseKDB 산업은행, 벤처기업협회, LG 사이언스파크 등(줐)스트라티오코리아근적외선 카메라국내코엑스
1118009-1고부가가치식품기술개발식품기자재당귀 유효식품 성분 전달시스템을 이용하여 고품질 당귀 제제 기술 개발및 산업화주식회사 엔자임바이오중소기업농림식품 융복합2018-04-272019-04-262023-09-202023-09-20기타2023 해외 바이어 초청 통합 수출상담회강원도경제진흥원<NA>홍조띤미인,쿨쿨자국내온라인
2118009-1고부가가치식품기술개발식품기자재당귀 유효식품 성분 전달시스템을 이용하여 고품질 당귀 제제 기술 개발및 산업화주식회사 엔자임바이오중소기업농림식품 융복합2018-04-272019-04-262023-11-142023-11-14박람회2023해외바이어초청통합수출상담회강원도<NA>홍조띤미인외국내강릉세인트조인스호텔
3118010-1고부가가치식품기술개발전통웰빙식품국내산 쌀과 천연재료를 활용한 헬스케어 스낵의 개발 및 상품화농업회사법인 명서제분 주식회사중소기업식품2018-04-272019-04-262023-05-302023-06-02박람회쌀가공식품산업대전쌀가공식품협회<NA>곡류가공품/과자류국내일산 킨텍스
4118022-3첨단생산기술개발첨단농기계생산마늘 줄기 절단기 개발불스중소기업농림식품 기계ㆍ시스템2018-04-262020-12-312023-06-202023-06-20제품설명회2023년 마늘 수확 기계화 기술현장 연시회의성군 농업기술센터<NA>마늘줄기 절단기국내의성군 농업기술센터
5118022-3첨단생산기술개발첨단농기계생산마늘 줄기 절단기 개발불스중소기업농림식품 기계ㆍ시스템2018-04-262020-12-312023-10-122023-10-22전시회2023 국제 농업기계박람회순천시<NA>마늘줄기 절단기국내순천만생태문화교육원일원
6118085-1고부가가치식품기술개발식품 품질관리머신러닝과 IoT기술이 통합된 IT 자동화 화덕 기술개발주식회사 고피자중소기업식품2018-10-172019-10-162023-08-172023-08-19전시회2023싱가포르프랜차이즈박람회싱가포르 산업통상부고피자고피자국외싱가포르
7119005-3첨단생산기술개발첨단농기계생산여성노동 강도와 안전성을 고려한 다열 자동 감 박피기 개발대경정공주식회사중소기업농림식품 기계ㆍ시스템2019-04-162021-12-312023-10-312023-11-03박람회익산 농업 기계 박람회한국농기계공업협동조합<NA>감 박피기국내전북 익산 농수산물 도매시장
8119019-2맞춤형혁신식품및 천연안심소재기술개발맞춤형 혁신식품 개발생물전환기술을 활용한 고기능성 발효 소재와 이를 활용한 고령친화수프 개발 및 산업화정심식품중소기업식품2019-05-202020-12-312023-08-302023-09-01전시회CPHI KOREAInforma Markets Korea Corporation(주)하임스내츄라기능성 원료 및 소재국내서울 코엑스
9119019-2맞춤형혁신식품및 천연안심소재기술개발맞춤형 혁신식품 개발생물전환기술을 활용한 고기능성 발효 소재와 이를 활용한 고령친화수프 개발 및 산업화정심식품중소기업식품2019-05-202020-12-312023-09-202023-09-22전시회Vitafoods AsiaHead Office Bangkok Exhibition Services Ltd.(주)정심식품색소, 향료, 기능성소재, 카페파우더, 시럽, 깔리또 스프국외Queen Sirikit National Convention Center (QSNCC), Bangkok
과제관리번호과제구분내역사업명과제명주관기관기업유형분야과제시작년도과제종료년도시작일종료일전시회유형명행사명칭주최기관참가자참여품목국내외구분명장소
366821069-3기술사업화지원민간중심 R&D 사업화 지원축우를 위한 보리밀새싹사료 이용 고도화 기술 개발(주)가파중소기업축산2021-04-012023-12-312023-11-222023-11-25전시회2023 코엑스 푸드위크 (제 18회 서울국제식품산업전)(주)코엑스(주)가파새싹원물 / 새싹보리분말국내코엑스 Hall A, B, D
367821070-3기술사업화지원민간중심 R&D 사업화 지원피내접종용 PCV2/Mycoplasma 백신 개발 및 무침주사기 상용화미라클스코프주식회사중소기업수의2021-04-012023-12-312023-09-062023-09-08전시회2023 한국국제축산박람회KISTOCK미라클스코프(주)무침주사기국내대구 벡스코
368918002-4포스트게놈 신산업육성을 위한 다부처유전체사업산업화미생물유전체전략연구반려견·반려묘 장내 마이크로바이옴 기반 면역증강용 미생물제제 개발재단법인 농축산용미생물산업육성지원센터기타축산2018-04-252021-12-312023-05-262023-05-27전시회K pet food fairK pet food fair우진비앤지(주)제품전시국외베트남 하노이
369918002-4포스트게놈 신산업육성을 위한 다부처유전체사업산업화미생물유전체전략연구반려견·반려묘 장내 마이크로바이옴 기반 면역증강용 미생물제제 개발재단법인 농축산용미생물산업육성지원센터기타축산2018-04-252021-12-312023-10-252023-10-27전시회Pet Fair south east asiaPet Fair south east asia우진비앤지(주)제품전시국외태국 방콕
370918002-4포스트게놈 신산업육성을 위한 다부처유전체사업산업화미생물유전체전략연구반려견·반려묘 장내 마이크로바이옴 기반 면역증강용 미생물제제 개발재단법인 농축산용미생물산업육성지원센터기타축산2018-04-252021-12-312023-03-082023-03-10전시회VIV asia 2023VIV asia 2023우진비앤지(주)제품국외태국 방콕
371213007055SBN20Golden Seed 프로젝트Golden Seed 프로젝트아시아틱 백합 품종의 개발 및 현지 적응성 시험/시교 사업한국농수산대학 산학협력단대학농산2019-04-182021-12-312023-05-172023-05-21박람회제3회2023전주정원산업박람회전주시정원사업관계자 및 소비자아시아틱 나리국내전주시 전주원드컵광장
372213007055SBE10Golden Seed 프로젝트Golden Seed 프로젝트고식미계 토마토 품종 육성농업회사법인아시아종묘(주)중소기업농산2017-01-012021-12-312023-10-052023-10-07박람회2023 국제종자박람회한국농업기술진흥원<NA>티와이토마시아, 신슈가오렌지국내김제시 종자산업진흥센터
373213007055SBO30Golden Seed 프로젝트Golden Seed 프로젝트국내 백합 품종의 구근 수출 시장 확대강원도농업기술원정부기관농산2017-01-012021-12-312023-06-132023-06-13전시회2023년 국내나리 육성 현장 평가회우리화훼종묘백합재배농가 등백국내국립원예특작과학원
374213007055SBO30Golden Seed 프로젝트Golden Seed 프로젝트국내 백합 품종의 구근 수출 시장 확대강원도농업기술원정부기관농산2017-01-012021-12-312023-06-292023-06-29전시회2023년 수출유망품종 현장 평가회우리화훼종묘백합재배농가 등백합국내우리화훼종묘
375213007055SBO30Golden Seed 프로젝트Golden Seed 프로젝트국내 백합 품종의 구근 수출 시장 확대강원도농업기술원정부기관농산2017-01-012021-12-312023-06-192023-06-19전시회2023년 백합 육성계통 평가회 개최충청남도 화훼연구소백합재배농가 등백합국내충남 화훼연구소

Duplicate rows

Most frequently occurring

과제관리번호과제구분내역사업명과제명주관기관기업유형분야과제시작년도과제종료년도시작일종료일전시회유형명행사명칭주최기관참가자참여품목국내외구분명장소# duplicates
0318087-1농축산물안전생산유통관리기술개발역매칭 시범사업국내산 쌀가루를 이용한 제품 개발(주)과자의성중소기업식품2018-09-102019-09-092023-11-222023-11-25박람회FOOD WEEK 제18회 서울국제식품산업전강원특별자치도경제진흥원영업팀2명단풍빵과 단풍당쿠키외 30종국내코엑스2
1322038-3노지분야스마트농업기술단기고도화농업용 로봇 현장 적용기술 개발 및 실증밭농업용 두둑성형 로봇 개발불스중소기업농림식품 기계ㆍ시스템2022-04-012024-12-312023-11-272023-11-29전시회2023 농림축산식품 과학기술대전농림식품기술기획평가원<NA>밭농업용 두둑성형 로봇국내수원컨벤션센터2