Overview

Dataset statistics

Number of variables7
Number of observations78
Missing cells5
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory58.7 B

Variable types

Text4
Categorical3

Dataset

Description한국농어촌공사 연구정보방은 농정에 부응하는 기본연구(미래농업, 수자원, 환경에너지 등) 및 미래를 선도하는 창조연구보고서를 제공하고 있음
URLhttps://www.data.go.kr/data/15105008/fileData.do

Alerts

연도 has constant value ""Constant
등록인 is highly overall correlated with 최초등록시점High correlation
최초등록시점 is highly overall correlated with 등록인High correlation
검색키워드_영문 has 5 (6.4%) missing valuesMissing
성과일련번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:12:34.617996
Analysis finished2023-12-12 13:12:35.537500
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

성과일련번호
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T22:12:35.754416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters1014
Distinct characters14
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

Unique78 ?
Unique (%)100.0%

Sample

1st rowRSRT-2022-004
2nd rowRSRT-2022-005
3rd rowRSRT-2022-006
4th rowRSRT-2022-007
5th rowRSRT-2022-008
ValueCountFrequency (%)
rsrt-2022-004 1
 
1.3%
rsrt-2022-053 1
 
1.3%
rsrt-2022-060 1
 
1.3%
rsrt-2022-059 1
 
1.3%
rsrt-2022-058 1
 
1.3%
rsrt-2022-057 1
 
1.3%
rsrt-2022-056 1
 
1.3%
rsrt-2022-055 1
 
1.3%
rsrt-2022-066 1
 
1.3%
rsrt-2022-052 1
 
1.3%
Other values (68) 68
87.2%
2023-12-12T22:12:36.196053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 238
23.5%
0 178
17.6%
R 156
15.4%
- 156
15.4%
S 78
 
7.7%
T 78
 
7.7%
3 30
 
3.0%
1 20
 
2.0%
4 19
 
1.9%
6 18
 
1.8%
Other values (4) 43
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 546
53.8%
Uppercase Letter 312
30.8%
Dash Punctuation 156
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 238
43.6%
0 178
32.6%
3 30
 
5.5%
1 20
 
3.7%
4 19
 
3.5%
6 18
 
3.3%
5 18
 
3.3%
7 9
 
1.6%
8 8
 
1.5%
9 8
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
R 156
50.0%
S 78
25.0%
T 78
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 702
69.2%
Latin 312
30.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2 238
33.9%
0 178
25.4%
- 156
22.2%
3 30
 
4.3%
1 20
 
2.8%
4 19
 
2.7%
6 18
 
2.6%
5 18
 
2.6%
7 9
 
1.3%
8 8
 
1.1%
Latin
ValueCountFrequency (%)
R 156
50.0%
S 78
25.0%
T 78
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1014
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 238
23.5%
0 178
17.6%
R 156
15.4%
- 156
15.4%
S 78
 
7.7%
T 78
 
7.7%
3 30
 
3.0%
1 20
 
2.0%
4 19
 
1.9%
6 18
 
1.8%
Other values (4) 43
 
4.2%

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
2022
78 

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 78
100.0%

Length

2023-12-12T22:12:36.354475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:12:36.457041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 78
100.0%

등록인
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Memory size756.0 B
박영준
 
5
함종화
 
4
이백
 
4
임청룡
 
4
이병선
 
4
Other values (26)
57 

Length

Max length3
Median length3
Mean length2.8717949
Min length2

Unique

Unique7 ?
Unique (%)9.0%

Sample

1st row이종락
2nd row박영준
3rd row신형진
4th row신형진
5th row신형진

Common Values

ValueCountFrequency (%)
박영준 5
 
6.4%
함종화 4
 
5.1%
이백 4
 
5.1%
임청룡 4
 
5.1%
이병선 4
 
5.1%
허준 4
 
5.1%
하창용 4
 
5.1%
신형진 4
 
5.1%
최병한 4
 
5.1%
윤상헌 3
 
3.8%
Other values (21) 38
48.7%

Length

2023-12-12T22:12:36.887529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
박영준 5
 
6.4%
이백 4
 
5.1%
임청룡 4
 
5.1%
이병선 4
 
5.1%
허준 4
 
5.1%
하창용 4
 
5.1%
신형진 4
 
5.1%
최병한 4
 
5.1%
함종화 4
 
5.1%
이재남 3
 
3.8%
Other values (21) 38
48.7%

게시물제목
Text

Distinct76
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T22:12:37.185726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length40
Mean length29.217949
Min length13

Characters and Unicode

Total characters2279
Distinct characters272
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)94.9%

Sample

1st row새만금사업 30년의 성과와 미래농업 발전전략 수립 연구
2nd row사막환경에서 지속적인 작물재배를 위한 토양 및 물 관리 기술개발
3rd row토양수분관측망을 활용한 밭 토양수분함량 장기변동성 분석
4th row통합 물관리 대비 ICT 기반 농업용 관수 성능향상 기술 및 유지관리 시스템 기술 개발
5th row지표수-지하수의 연계를 고려한 자연유량 평가 및 하천갈수량 예측 고도화 기술 개발
ValueCountFrequency (%)
및 32
 
5.9%
연구 28
 
5.1%
개발 20
 
3.7%
위한 14
 
2.6%
분석 9
 
1.7%
기술 6
 
1.1%
평가 6
 
1.1%
구축 5
 
0.9%
농업용 4
 
0.7%
간척지 4
 
0.7%
Other values (336) 416
76.5%
2023-12-12T22:12:37.675453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
468
 
20.5%
지 63
 
2.8%
수 62
 
2.7%
구 49
 
2.2%
농 44
 
1.9%
기 41
 
1.8%
연 38
 
1.7%
용 36
 
1.6%
개 36
 
1.6%
발 34
 
1.5%
Other values (262) 1408
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1741
76.4%
Space Separator 468
 
20.5%
Uppercase Letter 40
 
1.8%
Decimal Number 19
 
0.8%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Dash Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 63
 
3.6%
수 62
 
3.6%
구 49
 
2.8%
농 44
 
2.5%
기 41
 
2.4%
연 38
 
2.2%
용 36
 
2.1%
개 36
 
2.1%
발 34
 
2.0%
사 34
 
2.0%
Other values (238) 1304
74.9%
Uppercase Letter
ValueCountFrequency (%)
I 7
17.5%
C 6
15.0%
T 5
12.5%
R 4
10.0%
S 3
7.5%
G 3
7.5%
A 2
 
5.0%
D 2
 
5.0%
W 2
 
5.0%
E 2
 
5.0%
Other values (4) 4
10.0%
Decimal Number
ValueCountFrequency (%)
2 10
52.6%
0 7
36.8%
3 1
 
5.3%
4 1
 
5.3%
Space Separator
ValueCountFrequency (%)
468
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1738
76.3%
Common 497
 
21.8%
Latin 41
 
1.8%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 63
 
3.6%
수 62
 
3.6%
구 49
 
2.8%
농 44
 
2.5%
기 41
 
2.4%
연 38
 
2.2%
용 36
 
2.1%
개 36
 
2.1%
발 34
 
2.0%
사 34
 
2.0%
Other values (235) 1301
74.9%
Latin
ValueCountFrequency (%)
I 7
17.1%
C 6
14.6%
T 5
12.2%
R 4
9.8%
S 3
7.3%
G 3
7.3%
A 2
 
4.9%
D 2
 
4.9%
W 2
 
4.9%
E 2
 
4.9%
Other values (5) 5
12.2%
Common
ValueCountFrequency (%)
468
94.2%
2 10
 
2.0%
0 7
 
1.4%
( 4
 
0.8%
) 4
 
0.8%
- 1
 
0.2%
3 1
 
0.2%
· 1
 
0.2%
4 1
 
0.2%
Han
ValueCountFrequency (%)
社 1
33.3%
公 1
33.3%
新 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1738
76.3%
ASCII 537
 
23.6%
CJK 3
 
0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
468
87.2%
2 10
 
1.9%
0 7
 
1.3%
I 7
 
1.3%
C 6
 
1.1%
T 5
 
0.9%
R 4
 
0.7%
( 4
 
0.7%
) 4
 
0.7%
S 3
 
0.6%
Other values (13) 19
 
3.5%
Hangul
ValueCountFrequency (%)
지 63
 
3.6%
수 62
 
3.6%
구 49
 
2.8%
농 44
 
2.5%
기 41
 
2.4%
연 38
 
2.2%
용 36
 
2.1%
개 36
 
2.1%
발 34
 
2.0%
사 34
 
2.0%
Other values (235) 1301
74.9%
CJK
ValueCountFrequency (%)
社 1
33.3%
公 1
33.3%
新 1
33.3%
None
ValueCountFrequency (%)
· 1
100.0%

검색키워드_한글
Text

Distinct76
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-12T22:12:38.017425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length36.5
Mean length22.358974
Min length7

Characters and Unicode

Total characters1744
Distinct characters259
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)94.9%

Sample

1st row새만금, 미래농업, 성과분석
2nd row사막, 벼재배, 알칼리 토양, 물절약
3rd row토양수분, 토양수분관측망, 밭가뭄, 수분 변동성
4th row통합 물관리, ICT 기반, 농업용수, 관수로
5th row지표수-지하수 연계, 표준유역, 하천유출량 예측, 지하수 저류 및 함양
ValueCountFrequency (%)
지하수 7
 
2.1%
새만금 7
 
2.1%
농업용저수지 5
 
1.5%
모니터링 5
 
1.5%
저수지 5
 
1.5%
스마트 4
 
1.2%
농업용수 4
 
1.2%
평가 4
 
1.2%
기후변화 4
 
1.2%
및 4
 
1.2%
Other values (263) 287
85.4%
2023-12-12T22:12:38.441135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
266
 
15.3%
, 198
 
11.4%
수 74
 
4.2%
지 62
 
3.6%
농 41
 
2.4%
기 27
 
1.5%
업 27
 
1.5%
사 22
 
1.3%
용 22
 
1.3%
리 21
 
1.2%
Other values (249) 984
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1239
71.0%
Space Separator 266
 
15.3%
Other Punctuation 198
 
11.4%
Uppercase Letter 34
 
1.9%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Dash Punctuation 2
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 74
 
6.0%
지 62
 
5.0%
농 41
 
3.3%
기 27
 
2.2%
업 27
 
2.2%
사 22
 
1.8%
용 22
 
1.8%
리 21
 
1.7%
관 20
 
1.6%
저 20
 
1.6%
Other values (229) 903
72.9%
Uppercase Letter
ValueCountFrequency (%)
S 5
14.7%
A 4
11.8%
I 4
11.8%
C 3
8.8%
T 3
8.8%
N 2
 
5.9%
D 2
 
5.9%
P 2
 
5.9%
R 2
 
5.9%
E 2
 
5.9%
Other values (4) 5
14.7%
Space Separator
ValueCountFrequency (%)
266
100.0%
Other Punctuation
ValueCountFrequency (%)
, 198
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1239
71.0%
Common 470
 
26.9%
Latin 35
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 74
 
6.0%
지 62
 
5.0%
농 41
 
3.3%
기 27
 
2.2%
업 27
 
2.2%
사 22
 
1.8%
용 22
 
1.8%
리 21
 
1.7%
관 20
 
1.6%
저 20
 
1.6%
Other values (229) 903
72.9%
Latin
ValueCountFrequency (%)
S 5
14.3%
A 4
11.4%
I 4
11.4%
C 3
8.6%
T 3
8.6%
N 2
 
5.7%
D 2
 
5.7%
P 2
 
5.7%
R 2
 
5.7%
E 2
 
5.7%
Other values (5) 6
17.1%
Common
ValueCountFrequency (%)
266
56.6%
, 198
42.1%
( 2
 
0.4%
) 2
 
0.4%
- 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1239
71.0%
ASCII 505
29.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
266
52.7%
, 198
39.2%
S 5
 
1.0%
A 4
 
0.8%
I 4
 
0.8%
C 3
 
0.6%
T 3
 
0.6%
N 2
 
0.4%
D 2
 
0.4%
( 2
 
0.4%
Other values (10) 16
 
3.2%
Hangul
ValueCountFrequency (%)
수 74
 
6.0%
지 62
 
5.0%
농 41
 
3.3%
기 27
 
2.2%
업 27
 
2.2%
사 22
 
1.8%
용 22
 
1.8%
리 21
 
1.7%
관 20
 
1.6%
저 20
 
1.6%
Other values (229) 903
72.9%

검색키워드_영문
Text

MISSING 

Distinct71
Distinct (%)97.3%
Missing5
Missing (%)6.4%
Memory size756.0 B
2023-12-12T22:12:38.743207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length169
Median length76
Mean length62.835616
Min length15

Characters and Unicode

Total characters4587
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)94.5%

Sample

1st rowdesert, rice, alkaline soil, water saving
2nd rowsoil moisture, soil moisture network measurements, variability of moisture conditions, drought for upland crop
3rd rowintegrated distribution management, ICT-based, agricultural water, pipe channel
4th rowCoupling of Surface water and Groundwater, Standard Watershed, Streamflow forecasting, Gorundwater recharge
5th row농지관리기금, 농지은행사업, 중장기 전략
ValueCountFrequency (%)
water 26
 
4.9%
agricultural 16
 
3.0%
reservoir 10
 
1.9%
system 9
 
1.7%
management 9
 
1.7%
groundwater 8
 
1.5%
quality 8
 
1.5%
monitoring 7
 
1.3%
soil 6
 
1.1%
saemangeum 6
 
1.1%
Other values (305) 422
80.1%
2023-12-12T22:12:39.204268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
473
 
10.3%
e 407
 
8.9%
a 338
 
7.4%
r 318
 
6.9%
i 298
 
6.5%
t 296
 
6.5%
n 284
 
6.2%
o 230
 
5.0%
l 198
 
4.3%
, 184
 
4.0%
Other values (97) 1561
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3579
78.0%
Space Separator 473
 
10.3%
Uppercase Letter 249
 
5.4%
Other Punctuation 190
 
4.1%
Other Letter 83
 
1.8%
Dash Punctuation 11
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5
 
6.0%
수 5
 
6.0%
기 4
 
4.8%
농 4
 
4.8%
구 4
 
4.8%
조 3
 
3.6%
업 3
 
3.6%
사 3
 
3.6%
홍 2
 
2.4%
시 2
 
2.4%
Other values (41) 48
57.8%
Lowercase Letter
ValueCountFrequency (%)
e 407
11.4%
a 338
 
9.4%
r 318
 
8.9%
i 298
 
8.3%
t 296
 
8.3%
n 284
 
7.9%
o 230
 
6.4%
l 198
 
5.5%
s 173
 
4.8%
u 151
 
4.2%
Other values (16) 886
24.8%
Uppercase Letter
ValueCountFrequency (%)
S 32
12.9%
R 25
 
10.0%
A 18
 
7.2%
P 17
 
6.8%
C 17
 
6.8%
M 16
 
6.4%
W 15
 
6.0%
I 15
 
6.0%
D 14
 
5.6%
F 12
 
4.8%
Other values (12) 68
27.3%
Other Punctuation
ValueCountFrequency (%)
, 184
96.8%
& 3
 
1.6%
' 2
 
1.1%
. 1
 
0.5%
Space Separator
ValueCountFrequency (%)
473
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3828
83.5%
Common 676
 
14.7%
Hangul 83
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5
 
6.0%
수 5
 
6.0%
기 4
 
4.8%
농 4
 
4.8%
구 4
 
4.8%
조 3
 
3.6%
업 3
 
3.6%
사 3
 
3.6%
홍 2
 
2.4%
시 2
 
2.4%
Other values (41) 48
57.8%
Latin
ValueCountFrequency (%)
e 407
 
10.6%
a 338
 
8.8%
r 318
 
8.3%
i 298
 
7.8%
t 296
 
7.7%
n 284
 
7.4%
o 230
 
6.0%
l 198
 
5.2%
s 173
 
4.5%
u 151
 
3.9%
Other values (38) 1135
29.6%
Common
ValueCountFrequency (%)
473
70.0%
, 184
 
27.2%
- 11
 
1.6%
& 3
 
0.4%
' 2
 
0.3%
. 1
 
0.1%
( 1
 
0.1%
) 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4504
98.2%
Hangul 83
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
473
 
10.5%
e 407
 
9.0%
a 338
 
7.5%
r 318
 
7.1%
i 298
 
6.6%
t 296
 
6.6%
n 284
 
6.3%
o 230
 
5.1%
l 198
 
4.4%
, 184
 
4.1%
Other values (46) 1478
32.8%
Hangul
ValueCountFrequency (%)
지 5
 
6.0%
수 5
 
6.0%
기 4
 
4.8%
농 4
 
4.8%
구 4
 
4.8%
조 3
 
3.6%
업 3
 
3.6%
사 3
 
3.6%
홍 2
 
2.4%
시 2
 
2.4%
Other values (41) 48
57.8%

최초등록시점
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-01-20
19 
2023-05-15
 
4
2022-12-28
 
4
2022-12-27
 
4
2022-12-26
 
4
Other values (30)
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique19 ?
Unique (%)24.4%

Sample

1st row2022-09-19
2nd row2022-12-01
3rd row2022-12-13
4th row2022-12-19
5th row2022-12-19

Common Values

ValueCountFrequency (%)
2023-01-20 19
24.4%
2023-05-15 4
 
5.1%
2022-12-28 4
 
5.1%
2022-12-27 4
 
5.1%
2022-12-26 4
 
5.1%
2023-01-11 3
 
3.8%
2023-04-12 3
 
3.8%
2022-12-19 2
 
2.6%
2023-04-11 2
 
2.6%
2023-01-17 2
 
2.6%
Other values (25) 31
39.7%

Length

2023-12-12T22:12:39.330049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-01-20 19
24.4%
2022-12-28 4
 
5.1%
2022-12-27 4
 
5.1%
2022-12-26 4
 
5.1%
2023-05-15 4
 
5.1%
2023-01-11 3
 
3.8%
2023-04-12 3
 
3.8%
2023-05-22 2
 
2.6%
2022-12-21 2
 
2.6%
2023-01-03 2
 
2.6%
Other values (25) 31
39.7%

Correlations

2023-12-12T22:12:39.409031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성과일련번호등록인게시물제목검색키워드_한글검색키워드_영문최초등록시점
성과일련번호1.0001.0001.0001.0001.0001.000
등록인1.0001.0001.0001.0001.0000.965
게시물제목1.0001.0001.0001.0001.0000.949
검색키워드_한글1.0001.0001.0001.0001.0000.949
검색키워드_영문1.0001.0001.0001.0001.0000.935
최초등록시점1.0000.9650.9490.9490.9351.000
2023-12-12T22:12:39.522278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
최초등록시점등록인
최초등록시점1.0000.570
등록인0.5701.000
2023-12-12T22:12:39.594754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록인최초등록시점
등록인1.0000.570
최초등록시점0.5701.000

Missing values

2023-12-12T22:12:35.322596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:12:35.481759image/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

성과일련번호연도등록인게시물제목검색키워드_한글검색키워드_영문최초등록시점
0RSRT-2022-0042022이종락새만금사업 30년의 성과와 미래농업 발전전략 수립 연구새만금, 미래농업, 성과분석<NA>2022-09-19
1RSRT-2022-0052022박영준사막환경에서 지속적인 작물재배를 위한 토양 및 물 관리 기술개발사막, 벼재배, 알칼리 토양, 물절약desert, rice, alkaline soil, water saving2022-12-01
2RSRT-2022-0062022신형진토양수분관측망을 활용한 밭 토양수분함량 장기변동성 분석토양수분, 토양수분관측망, 밭가뭄, 수분 변동성soil moisture, soil moisture network measurements, variability of moisture conditions, drought for upland crop2022-12-13
3RSRT-2022-0072022신형진통합 물관리 대비 ICT 기반 농업용 관수 성능향상 기술 및 유지관리 시스템 기술 개발통합 물관리, ICT 기반, 농업용수, 관수로integrated distribution management, ICT-based, agricultural water, pipe channel2022-12-19
4RSRT-2022-0082022신형진지표수-지하수의 연계를 고려한 자연유량 평가 및 하천갈수량 예측 고도화 기술 개발지표수-지하수 연계, 표준유역, 하천유출량 예측, 지하수 저류 및 함양Coupling of Surface water and Groundwater, Standard Watershed, Streamflow forecasting, Gorundwater recharge2022-12-19
5RSRT-2022-0092022이향미농지관리기금의 중장기 발전방안 연구농지관리기금, 농지은행사업, 중장기 전략농지관리기금, 농지은행사업, 중장기 전략2022-12-21
6RSRT-2022-0102022이향미효율적인 저활용 농지 활용을 위한 청년농업인 농지수요 연구농지은행, 농지수요, 청년농업인farmland bank business, demand of farmland, younf farmer2022-12-21
7RSRT-2022-0112022신형진ICT기반 밭관개용수 확보 다기능 저류조 용수공급시스템 개발다기능, 저류조, 밭 농업, 회복력, ICTMulti functional, Water storage tanks, Upland Field, Resilience, ICT2022-12-22
8RSRT-2022-0132022하창용KRC 표준시험유역 정밀모니터링을 위한 계측시스템 구축 연구정밀모니터링, 표준시험유역, 계측시스템Measurement, Standard Test Watershed, Precise Monitoring2022-12-26
9RSRT-2022-0142022심고은간척지 액비시용에 따른 조사료 생산성 및 경제성 분석간척지활용, 액비시용, 액비사용, 가축분뇨 자원화bulkyfeed, reclained land, liquidferrilizer2022-12-26
성과일련번호연도등록인게시물제목검색키워드_한글검색키워드_영문최초등록시점
68RSRT-2023-0032022임청룡저탄소 경축순환형 유기농 모델 연구저탄소농업, 경축순환 유기농, 양분수지, 탄소중립, 소규모 경축순환Low carbon, Crop Livestock Cycling Farming, Nutrient recycling investigation, Cabon Neutral, Cycling Farming Model2023-01-17
69RSRT-2023-0042022남귀숙조류포집기술 연계 및 현장적용성 평가조류포집, 저에너지, 무인이동algae capture technology, low energy, unmanned movemnet2023-01-18
70RSRT-2023-0052022박영준간척농지 범용화를 위한 화옹간척지 밭작물 재배 기반기술 연구간척지, 재배, 토양관리Reclaimed tidelands, cultivation, Soil management2023-01-20
71RSRT-2023-0062022박영준남양지구 간척농지 리모델링사업 사전타당성조사 연구사전타당성연구, 간척지, 리모델링Preliminary feasibility study, reclaimed farmland , remodelling project2023-01-20
72RSRT-2023-0072022이백농업 재난 재해 대응 농업생산기반 설계기준 및 운영체계 개발농업생산기반, 국가설계기준, 재난재해, 최적사례매칭, 해설편agricultural infrastructure, korean design standard, disaster, optimum case matching, guide book2023-01-20
73RSRT-2023-0082022백원엽新정부 농정정책의 성공적 뒷받침을 위한 公社 기능과 역할 재정립농정 패러다임, 기후변화, 식량위기<NA>2023-04-12
74RSRT-2023-0092022이준구미래농업 환경변화 대응 스마트단지 조성미래농업, 환경변화, 스마트 단지, 자동화<NA>2023-04-12
75RSRT-2023-0112022신승욱수로적합 투광형 양면 모듈을 적용한 아치형 루프탑 태양광 모듈 시스템 개발과 200kW급 환경영향 실증농수로, 태양광, 탄소감축, 농업기반시설water-channel, PV module, reduction of carbon dioxide, agricultural infrastructure2023-05-15
76RSRT-2023-0132022신승욱무음영 영농형 태양광발전 설비 개발 및 베트남 현지 실증을 통한 해외 수출 모델 개발무음영 영농형 태양광 영농기술 해외실증 수출모델화 자립형 에너지Shadow-free agricultural photovoltaic Farming Technology Overseas Demonstration Export modelling Self-supporting Energy2023-05-15
77RSRT-2023-0142022임상봉한국농어촌공사 ODA사업의 모니터링 및 평가 체계 구축 방안한국농어촌공사 ODA사업, 사업 모니터링과 평가, 모니터링 및 평가 체계KRC's ODA projects, project M&E, M&E system2023-05-22