Overview

Dataset statistics

Number of variables10
Number of observations935
Missing cells0
Missing cells (%)0.0%
Duplicate rows82
Duplicate rows (%)8.8%
Total size in memory73.2 KiB
Average record size in memory80.1 B

Variable types

Text5
Categorical4
DateTime1

Dataset

Description우리 기관이 보유하고 있는 농림식품 관련 RnD 고용창출 성과 정보(분류,과제구분,과제관리번호,과제명,고용창출일,고용창출내용 등으로 구성)
Author농림식품기술기획평가원
URLhttps://www.data.go.kr/data/15097828/fileData.do

Alerts

Dataset has 82 (8.8%) duplicate rowsDuplicates
과제구분 is highly overall correlated with 분야High correlation
분야 is highly overall correlated with 과제구분High correlation

Reproduction

Analysis started2024-03-14 23:48:22.976967
Analysis finished2024-03-14 23:48:26.192378
Duration3.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct288
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-15T08:48:27.329152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length8.0064171
Min length8

Characters and Unicode

Total characters7486
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

Unique106 ?
Unique (%)11.3%

Sample

1st row116051-3
2nd row116059-3
3rd row116113-2
4th row116113-2
5th row116113-2
ValueCountFrequency (%)
821028-3 24
 
2.6%
821057-3 18
 
1.9%
421007-4 16
 
1.7%
118059-2 15
 
1.6%
116113-2 15
 
1.6%
316058-3 15
 
1.6%
322073-3 15
 
1.6%
322054-5 14
 
1.5%
322058-3 14
 
1.5%
321110-4 13
 
1.4%
Other values (278) 776
83.0%
2024-03-15T08:48:28.670071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1589
21.2%
3 1203
16.1%
0 1169
15.6%
1 985
13.2%
- 934
12.5%
5 461
 
6.2%
4 381
 
5.1%
8 287
 
3.8%
7 195
 
2.6%
6 151
 
2.0%
Other values (3) 131
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6550
87.5%
Dash Punctuation 934
 
12.5%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1589
24.3%
3 1203
18.4%
0 1169
17.8%
1 985
15.0%
5 461
 
7.0%
4 381
 
5.8%
8 287
 
4.4%
7 195
 
3.0%
6 151
 
2.3%
9 129
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
B 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 934
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7484
> 99.9%
Latin 2
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1589
21.2%
3 1203
16.1%
0 1169
15.6%
1 985
13.2%
- 934
12.5%
5 461
 
6.2%
4 381
 
5.1%
8 287
 
3.8%
7 195
 
2.6%
6 151
 
2.0%
Latin
ValueCountFrequency (%)
S 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7486
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1589
21.2%
3 1203
16.1%
0 1169
15.6%
1 985
13.2%
- 934
12.5%
5 461
 
6.2%
4 381
 
5.1%
8 287
 
3.8%
7 195
 
2.6%
6 151
 
2.0%
Other values (3) 131
 
1.7%

과제구분
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
고부가가치식품기술개발
225 
기술사업화지원
151 
디지털육종전환기술개발
64 
스마트팜다부처패키지혁신기술개발사업
61 
노지분야스마트농업기술단기고도화
46 
Other values (21)
388 

Length

Max length25
Median length18
Mean length12.659893
Min length7

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
고부가가치식품기술개발 225
24.1%
기술사업화지원 151
16.1%
디지털육종전환기술개발 64
 
6.8%
스마트팜다부처패키지혁신기술개발사업 61
 
6.5%
노지분야스마트농업기술단기고도화 46
 
4.9%
작물 바이러스 및 병해충 대응 산업화 기술개발 44
 
4.7%
핵심농자재국산화기술개발 43
 
4.6%
반려동물전주기산업화기술개발 40
 
4.3%
축산현안대응산업화기술개발 39
 
4.2%
농식품기술융복합 창의인재 양성 사업 32
 
3.4%
Other values (16) 190
20.3%

Length

2024-03-15T08:48:29.138015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고부가가치식품기술개발 225
16.5%
기술사업화지원 151
 
11.1%
디지털육종전환기술개발 64
 
4.7%
산업화 63
 
4.6%
스마트팜다부처패키지혁신기술개발사업 61
 
4.5%
기술개발 61
 
4.5%
노지분야스마트농업기술단기고도화 46
 
3.4%
작물 44
 
3.2%
바이러스 44
 
3.2%
44
 
3.2%
Other values (32) 562
41.2%
Distinct60
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-15T08:48:30.286014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length12.768984
Min length4

Characters and Unicode

Total characters11939
Distinct characters192
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

Unique10 ?
Unique (%)1.1%

Sample

1st rowICT융복합시스템
2nd rowICT융복합시스템
3rd rowICT융복합시스템
4th rowICT융복합시스템
5th rowICT융복합시스템
ValueCountFrequency (%)
기술개발 164
 
5.9%
사업화 150
 
5.4%
개발 86
 
3.1%
차세대 84
 
3.0%
민간중심 80
 
2.9%
지원 80
 
2.9%
r&d 80
 
2.9%
78
 
2.8%
국산화 76
 
2.7%
미래대응식품 75
 
2.7%
Other values (110) 1829
65.7%
2024-03-15T08:48:31.738053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1847
 
15.5%
532
 
4.5%
393
 
3.3%
374
 
3.1%
352
 
2.9%
340
 
2.8%
325
 
2.7%
254
 
2.1%
220
 
1.8%
203
 
1.7%
Other values (182) 7099
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9648
80.8%
Space Separator 1847
 
15.5%
Uppercase Letter 237
 
2.0%
Other Punctuation 185
 
1.5%
Decimal Number 14
 
0.1%
Lowercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
532
 
5.5%
393
 
4.1%
374
 
3.9%
352
 
3.6%
340
 
3.5%
325
 
3.4%
254
 
2.6%
220
 
2.3%
203
 
2.1%
202
 
2.1%
Other values (164) 6453
66.9%
Uppercase Letter
ValueCountFrequency (%)
R 80
33.8%
D 80
33.8%
I 21
 
8.9%
C 21
 
8.9%
T 21
 
8.9%
G 13
 
5.5%
S 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
37.5%
d 2
25.0%
n 1
 
12.5%
l 1
 
12.5%
o 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
· 99
53.5%
& 80
43.2%
/ 6
 
3.2%
Decimal Number
ValueCountFrequency (%)
5 12
85.7%
1 2
 
14.3%
Space Separator
ValueCountFrequency (%)
1847
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9648
80.8%
Common 2046
 
17.1%
Latin 245
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
532
 
5.5%
393
 
4.1%
374
 
3.9%
352
 
3.6%
340
 
3.5%
325
 
3.4%
254
 
2.6%
220
 
2.3%
203
 
2.1%
202
 
2.1%
Other values (164) 6453
66.9%
Latin
ValueCountFrequency (%)
R 80
32.7%
D 80
32.7%
I 21
 
8.6%
C 21
 
8.6%
T 21
 
8.6%
G 13
 
5.3%
e 3
 
1.2%
d 2
 
0.8%
S 1
 
0.4%
n 1
 
0.4%
Other values (2) 2
 
0.8%
Common
ValueCountFrequency (%)
1847
90.3%
· 99
 
4.8%
& 80
 
3.9%
5 12
 
0.6%
/ 6
 
0.3%
1 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9648
80.8%
ASCII 2192
 
18.4%
None 99
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1847
84.3%
& 80
 
3.6%
R 80
 
3.6%
D 80
 
3.6%
I 21
 
1.0%
C 21
 
1.0%
T 21
 
1.0%
G 13
 
0.6%
5 12
 
0.5%
/ 6
 
0.3%
Other values (7) 11
 
0.5%
Hangul
ValueCountFrequency (%)
532
 
5.5%
393
 
4.1%
374
 
3.9%
352
 
3.6%
340
 
3.5%
325
 
3.4%
254
 
2.6%
220
 
2.3%
203
 
2.1%
202
 
2.1%
Other values (164) 6453
66.9%
None
ValueCountFrequency (%)
· 99
100.0%
Distinct287
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-15T08:48:32.595610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length93
Median length56
Mean length37.135829
Min length7

Characters and Unicode

Total characters34722
Distinct characters536
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)11.2%

Sample

1st row농지범용화를 위한 스마트 토양수분제어 실용화기술 개발
2nd row양액재배 딸기의 근권 관리를 위한 스마트 재배 환경 관리 시스템 개발
3rd row시설농업용 ICT 융복합기술기반 CO2 시비 및 에너지통합시스템 개발
4th row시설농업용 ICT 융복합기술기반 CO2 시비 및 에너지통합시스템 개발
5th row시설농업용 ICT 융복합기술기반 CO2 시비 및 에너지통합시스템 개발
ValueCountFrequency (%)
개발 685
 
7.9%
545
 
6.3%
위한 206
 
2.4%
기술 178
 
2.1%
기반 152
 
1.8%
시스템 129
 
1.5%
활용한 97
 
1.1%
소재 76
 
0.9%
스마트 75
 
0.9%
기술개발 75
 
0.9%
Other values (1276) 6455
74.4%
2024-03-15T08:48:33.955327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7738
 
22.3%
918
 
2.6%
913
 
2.6%
909
 
2.6%
571
 
1.6%
545
 
1.6%
487
 
1.4%
476
 
1.4%
421
 
1.2%
408
 
1.2%
Other values (526) 21336
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24960
71.9%
Space Separator 7738
 
22.3%
Lowercase Letter 614
 
1.8%
Uppercase Letter 523
 
1.5%
Decimal Number 264
 
0.8%
Open Punctuation 185
 
0.5%
Close Punctuation 184
 
0.5%
Other Punctuation 178
 
0.5%
Dash Punctuation 61
 
0.2%
Initial Punctuation 5
 
< 0.1%
Other values (3) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
918
 
3.7%
913
 
3.7%
909
 
3.6%
571
 
2.3%
545
 
2.2%
487
 
2.0%
476
 
1.9%
421
 
1.7%
408
 
1.6%
401
 
1.6%
Other values (459) 18911
75.8%
Lowercase Letter
ValueCountFrequency (%)
l 67
10.9%
i 64
10.4%
m 62
10.1%
e 53
 
8.6%
n 50
 
8.1%
o 46
 
7.5%
t 42
 
6.8%
c 32
 
5.2%
k 25
 
4.1%
u 25
 
4.1%
Other values (12) 148
24.1%
Uppercase Letter
ValueCountFrequency (%)
C 76
14.5%
T 49
 
9.4%
S 46
 
8.8%
I 43
 
8.2%
A 40
 
7.6%
R 30
 
5.7%
F 29
 
5.5%
P 27
 
5.2%
D 25
 
4.8%
O 25
 
4.8%
Other values (10) 133
25.4%
Decimal Number
ValueCountFrequency (%)
1 64
24.2%
0 47
17.8%
3 47
17.8%
2 44
16.7%
5 28
10.6%
6 18
 
6.8%
9 6
 
2.3%
4 6
 
2.3%
7 4
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 66
37.1%
· 52
29.2%
. 29
16.3%
/ 23
 
12.9%
@ 6
 
3.4%
& 2
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 122
65.9%
[ 63
34.1%
Close Punctuation
ValueCountFrequency (%)
) 121
65.8%
] 63
34.2%
Space Separator
ValueCountFrequency (%)
7738
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Initial Punctuation
ValueCountFrequency (%)
5
100.0%
Final Punctuation
ValueCountFrequency (%)
5
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24957
71.9%
Common 8625
 
24.8%
Latin 1137
 
3.3%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
918
 
3.7%
913
 
3.7%
909
 
3.6%
571
 
2.3%
545
 
2.2%
487
 
2.0%
476
 
1.9%
421
 
1.7%
408
 
1.6%
401
 
1.6%
Other values (458) 18908
75.8%
Latin
ValueCountFrequency (%)
C 76
 
6.7%
l 67
 
5.9%
i 64
 
5.6%
m 62
 
5.5%
e 53
 
4.7%
n 50
 
4.4%
T 49
 
4.3%
S 46
 
4.0%
o 46
 
4.0%
I 43
 
3.8%
Other values (32) 581
51.1%
Common
ValueCountFrequency (%)
7738
89.7%
( 122
 
1.4%
) 121
 
1.4%
, 66
 
0.8%
1 64
 
0.7%
[ 63
 
0.7%
] 63
 
0.7%
- 61
 
0.7%
· 52
 
0.6%
0 47
 
0.5%
Other values (15) 228
 
2.6%
Han
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24957
71.9%
ASCII 9697
 
27.9%
None 52
 
0.1%
Punctuation 10
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7738
79.8%
( 122
 
1.3%
) 121
 
1.2%
C 76
 
0.8%
l 67
 
0.7%
, 66
 
0.7%
i 64
 
0.7%
1 64
 
0.7%
[ 63
 
0.6%
] 63
 
0.6%
Other values (53) 1253
 
12.9%
Hangul
ValueCountFrequency (%)
918
 
3.7%
913
 
3.7%
909
 
3.6%
571
 
2.3%
545
 
2.2%
487
 
2.0%
476
 
1.9%
421
 
1.7%
408
 
1.6%
401
 
1.6%
Other values (458) 18908
75.8%
None
ValueCountFrequency (%)
· 52
100.0%
Punctuation
ValueCountFrequency (%)
5
50.0%
5
50.0%
Letterlike Symbols
ValueCountFrequency (%)
3
100.0%
CJK
ValueCountFrequency (%)
3
100.0%
Distinct213
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-15T08:48:34.720043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length9.344385
Min length2

Characters and Unicode

Total characters8737
Distinct characters268
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)6.7%

Sample

1st row(주)수리이엔씨
2nd row(주)이레아이에스
3rd row유니시스인터내셔날주식회사
4th row유니시스인터내셔날주식회사
5th row유니시스인터내셔날주식회사
ValueCountFrequency (%)
산학협력단 175
 
13.8%
주식회사 129
 
10.2%
링크솔루션 30
 
2.4%
주)에프앤피 29
 
2.3%
전남대학교 25
 
2.0%
주)노바락토 24
 
1.9%
충북대학교 23
 
1.8%
충남대학교 22
 
1.7%
한국생명공학연구원 19
 
1.5%
한경대학교 19
 
1.5%
Other values (210) 775
61.0%
2024-03-15T08:48:36.013923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
560
 
6.4%
416
 
4.8%
( 407
 
4.7%
) 407
 
4.7%
335
 
3.8%
242
 
2.8%
231
 
2.6%
228
 
2.6%
221
 
2.5%
210
 
2.4%
Other values (258) 5480
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7585
86.8%
Open Punctuation 407
 
4.7%
Close Punctuation 407
 
4.7%
Space Separator 335
 
3.8%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
560
 
7.4%
416
 
5.5%
242
 
3.2%
231
 
3.0%
228
 
3.0%
221
 
2.9%
210
 
2.8%
201
 
2.6%
200
 
2.6%
200
 
2.6%
Other values (252) 4876
64.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
M 1
33.3%
G 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 407
100.0%
Close Punctuation
ValueCountFrequency (%)
) 407
100.0%
Space Separator
ValueCountFrequency (%)
335
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7585
86.8%
Common 1149
 
13.2%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
560
 
7.4%
416
 
5.5%
242
 
3.2%
231
 
3.0%
228
 
3.0%
221
 
2.9%
210
 
2.8%
201
 
2.6%
200
 
2.6%
200
 
2.6%
Other values (252) 4876
64.3%
Common
ValueCountFrequency (%)
( 407
35.4%
) 407
35.4%
335
29.2%
Latin
ValueCountFrequency (%)
C 1
33.3%
M 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7585
86.8%
ASCII 1152
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
560
 
7.4%
416
 
5.5%
242
 
3.2%
231
 
3.0%
228
 
3.0%
221
 
2.9%
210
 
2.8%
201
 
2.6%
200
 
2.6%
200
 
2.6%
Other values (252) 4876
64.3%
ASCII
ValueCountFrequency (%)
( 407
35.3%
) 407
35.3%
335
29.1%
C 1
 
0.1%
M 1
 
0.1%
G 1
 
0.1%

기업유형
Categorical

Distinct12
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
중소기업
515 
대학
188 
정부출연기관
73 
중소기업연구소
 
43
기타
 
40
Other values (7)
76 

Length

Max length9
Median length4
Mean length3.8727273
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중소기업 515
55.1%
대학 188
 
20.1%
정부출연기관 73
 
7.8%
중소기업연구소 43
 
4.6%
기타 40
 
4.3%
중견기업 22
 
2.4%
정부보조기관 15
 
1.6%
대기업 12
 
1.3%
정부기관 11
 
1.2%
농민단체.어민단체 8
 
0.9%
Other values (2) 8
 
0.9%

Length

2024-03-15T08:48:36.260533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중소기업 515
55.1%
대학 188
 
20.1%
정부출연기관 73
 
7.8%
중소기업연구소 43
 
4.6%
기타 40
 
4.3%
중견기업 22
 
2.4%
정부보조기관 15
 
1.6%
대기업 12
 
1.3%
정부기관 11
 
1.2%
농민단체.어민단체 8
 
0.9%
Other values (2) 8
 
0.9%

분야
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
식품
251 
농림식품 기계ㆍ시스템
208 
농림식품 융복합
147 
농림식품 환경생태
97 
농산
90 
Other values (3)
142 

Length

Max length11
Median length2
Mean length5.7572193
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품 251
26.8%
농림식품 기계ㆍ시스템 208
22.2%
농림식품 융복합 147
15.7%
농림식품 환경생태 97
 
10.4%
농산 90
 
9.6%
수의 82
 
8.8%
축산 50
 
5.3%
농림식품 경제ㆍ사회 10
 
1.1%

Length

2024-03-15T08:48:36.675007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:48:37.016497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농림식품 462
33.1%
식품 251
18.0%
기계ㆍ시스템 208
14.9%
융복합 147
 
10.5%
환경생태 97
 
6.9%
농산 90
 
6.4%
수의 82
 
5.9%
축산 50
 
3.6%
경제ㆍ사회 10
 
0.7%
Distinct353
Distinct (%)37.8%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2024-03-15T08:48:37.887687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19
Mean length8.9304813
Min length2

Characters and Unicode

Total characters8350
Distinct characters332
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)18.7%

Sample

1st row주식회사 수리이엔씨
2nd row(주)이레아이에스
3rd row(주)바이오프랜즈
4th row(주)바이오프랜즈
5th row(주)바이오프랜즈
ValueCountFrequency (%)
주식회사 103
 
8.8%
농업회사법인 64
 
5.5%
링크솔루션 30
 
2.6%
주)에프앤피 27
 
2.3%
주)바이오프랜즈 23
 
2.0%
네오뉴트라(주 22
 
1.9%
산학협력단 20
 
1.7%
주)창억 18
 
1.5%
주)스트라티오코리아 11
 
0.9%
주)카탈로닉스 11
 
0.9%
Other values (353) 840
71.9%
2024-03-15T08:48:39.197653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
685
 
8.2%
( 566
 
6.8%
) 565
 
6.8%
275
 
3.3%
253
 
3.0%
238
 
2.9%
234
 
2.8%
203
 
2.4%
167
 
2.0%
166
 
2.0%
Other values (322) 4998
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6943
83.1%
Open Punctuation 566
 
6.8%
Close Punctuation 565
 
6.8%
Space Separator 234
 
2.8%
Uppercase Letter 24
 
0.3%
Decimal Number 12
 
0.1%
Other Punctuation 3
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
685
 
9.9%
275
 
4.0%
253
 
3.6%
238
 
3.4%
203
 
2.9%
167
 
2.4%
166
 
2.4%
166
 
2.4%
156
 
2.2%
136
 
2.0%
Other values (302) 4498
64.8%
Uppercase Letter
ValueCountFrequency (%)
C 4
16.7%
M 3
12.5%
B 3
12.5%
T 2
8.3%
S 2
8.3%
F 2
8.3%
H 2
8.3%
K 2
8.3%
G 1
 
4.2%
D 1
 
4.2%
Other values (2) 2
8.3%
Decimal Number
ValueCountFrequency (%)
5 4
33.3%
1 4
33.3%
3 4
33.3%
Open Punctuation
ValueCountFrequency (%)
( 566
100.0%
Close Punctuation
ValueCountFrequency (%)
) 565
100.0%
Space Separator
ValueCountFrequency (%)
234
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6946
83.2%
Common 1380
 
16.5%
Latin 24
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
685
 
9.9%
275
 
4.0%
253
 
3.6%
238
 
3.4%
203
 
2.9%
167
 
2.4%
166
 
2.4%
166
 
2.4%
156
 
2.2%
136
 
2.0%
Other values (303) 4501
64.8%
Latin
ValueCountFrequency (%)
C 4
16.7%
M 3
12.5%
B 3
12.5%
T 2
8.3%
S 2
8.3%
F 2
8.3%
H 2
8.3%
K 2
8.3%
G 1
 
4.2%
D 1
 
4.2%
Other values (2) 2
8.3%
Common
ValueCountFrequency (%)
( 566
41.0%
) 565
40.9%
234
17.0%
5 4
 
0.3%
1 4
 
0.3%
3 4
 
0.3%
& 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6943
83.1%
ASCII 1404
 
16.8%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
685
 
9.9%
275
 
4.0%
253
 
3.6%
238
 
3.4%
203
 
2.9%
167
 
2.4%
166
 
2.4%
166
 
2.4%
156
 
2.2%
136
 
2.0%
Other values (302) 4498
64.8%
ASCII
ValueCountFrequency (%)
( 566
40.3%
) 565
40.2%
234
16.7%
5 4
 
0.3%
1 4
 
0.3%
C 4
 
0.3%
3 4
 
0.3%
M 3
 
0.2%
& 3
 
0.2%
B 3
 
0.2%
Other values (9) 14
 
1.0%
None
ValueCountFrequency (%)
3
100.0%
Distinct149
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum2023-01-01 00:00:00
Maximum2023-12-30 00:00:00
2024-03-15T08:48:39.524402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:48:39.958642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

고용형태
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
정규직
739 
계약직
196 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정규직 739
79.0%
계약직 196
 
21.0%

Length

2024-03-15T08:48:40.339822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:48:40.635575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정규직 739
79.0%
계약직 196
 
21.0%

Correlations

2024-03-15T08:48:40.818224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과제구분내역사업명기업유형분야고용형태
과제구분1.0001.0000.7610.9150.500
내역사업명1.0001.0000.8850.9530.618
기업유형0.7610.8851.0000.5440.307
분야0.9150.9530.5441.0000.454
고용형태0.5000.6180.3070.4541.000
2024-03-15T08:48:40.990787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야고용형태과제구분기업유형
분야1.0000.3410.6730.293
고용형태0.3411.0000.3930.293
과제구분0.6730.3931.0000.383
기업유형0.2930.2930.3831.000
2024-03-15T08:48:41.257404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과제구분기업유형분야고용형태
과제구분1.0000.3830.6730.393
기업유형0.3831.0000.2930.293
분야0.6730.2931.0000.341
고용형태0.3930.2930.3411.000

Missing values

2024-03-15T08:48:25.046777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:48:25.923256image/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

과제관리번호과제구분내역사업명과제명주관기관기업유형분야고용창출기관명고용창출일고용형태
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934213010054SB110Golden Seed 프로젝트Golden Seed 프로젝트토종닭 신규 유전자원 유전능력 평가 및 육종지원국립축산과학원 축산자원개발부정부기관축산소래축산영농법인2023-02-23계약직

Duplicate rows

Most frequently occurring

과제관리번호과제구분내역사업명과제명주관기관기업유형분야고용창출기관명고용창출일고용형태# duplicates
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40321110-4작물 바이러스 및 병해충 대응 산업화 기술개발유해선충제어바이오소재개발16. 미생물 기반 유해 토양선충 방제 제반기술 개발 및 실증 연구한국생명공학연구원정부출연기관농림식품 환경생태부산대학교 생명산업융합연구원2023-01-01계약직5
69421007-4스마트팜다부처패키지혁신기술개발사업스마트팜 실증고도화2세대 스마트 온실 생산성 실증고도화 및 지능형 환경제어 모델 개발주식회사 다온씨앤티중소기업농림식품 기계ㆍ시스템충남농업기술원2023-03-01계약직5
26320043-5작물 바이러스 및 병해충 대응 산업화 기술개발방제기술개발병해충 예찰 방법 개선을 위한 거점대학 육성전북대학교산학협력단대학농림식품 환경생태전북대학교2023-01-01계약직4
62322084-3반려동물전주기산업화기술개발반려동물 맞춤형 의약품 및 서비스 개발비문 안면 심도 음성등 생체신호를 이용한 반려견 개체인식 시스템 개발(주)에이치알지중소기업연구소수의에이치알지2023-10-01정규직4
4117062-3고부가가치식품기술개발식품 품질관리가시광선/근적외선 스마트 IoT 휴대용 분광기 및 후각 센서를 이용한 육류의 품질 등급과 신선도를 측정할 수 있는 시스템 개발(주)스트라티오코리아중소기업농림식품 기계ㆍ시스템(주)스트라티오코리아2023-06-01계약직3
31321033-3고부가가치식품기술개발미래대응식품 기술개발녹용 유래 기능성 지표성분 표준화 및 제품 적용 기술 개발한국양토양록축산업협동조합농민단체.어민단체식품한국양토양록축산업협동조합2023-10-01계약직3
33321049-5고부가가치식품기술개발5G기반 식품안전생산기술개발5G 기술 기반 식품 품질인식·등급판정 및 이물 검출이 가능한 식품 생산 공정용 모니터링 시스템 개발한국식품연구원정부출연기관농림식품 기계ㆍ시스템한국식품연구원2023-09-01계약직3
34321055-5핵심농자재국산화기술개발작물보호제 원제·제품 국산화생화학 농약 제품의 살균작용 기작 규명전남대학교 산학협력단대학농림식품 융복합전남대학교 친환경농업연구소2023-01-01계약직3
44322011-4고부가가치식품기술개발미래대응식품 기술개발[미래대응식품] 우유 유래 기능성 펩타이드의 대량생산 기술 확립 및 활용제품 개발(주)네오크레마중소기업식품연세대학교 연세유업2023-03-02정규직3