Overview

Dataset statistics

Number of variables4
Number of observations80
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)1.2%
Total size in memory2.6 KiB
Average record size in memory33.6 B

Variable types

Text3
DateTime1

Dataset

Description산림과학기술정보서비스(FTIS) 시스템의 위탁과제에 대한 데이터로 위탁과제명, 연구책임자, 과제번호 등의 정보를 제공합니다.
Author산림청
URLhttps://www.data.go.kr/data/15091877/fileData.do

Alerts

Dataset has 1 (1.2%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 15:18:18.031071
Analysis finished2023-12-12 15:18:18.650016
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연구책임자명
Text

Distinct68
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-13T00:18:18.837115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1
Min length2

Characters and Unicode

Total characters248
Distinct characters81
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)71.2%

Sample

1st row김*권
2nd row김*길
3rd row조*호
4th row이*제
5th row이*기
ValueCountFrequency (%)
이*환 3
 
3.7%
김*진 2
 
2.5%
김*곤 2
 
2.5%
김*화 2
 
2.5%
유*열 2
 
2.5%
김*환 2
 
2.5%
이*주 2
 
2.5%
임*택 2
 
2.5%
장*선 2
 
2.5%
이*형 2
 
2.5%
Other values (59) 60
74.1%
2023-12-13T00:18:19.231996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 78
31.5%
김 15
 
6.0%
이 12
 
4.8%
환 12
 
4.8%
송 6
 
2.4%
한 4
 
1.6%
하 4
 
1.6%
유 4
 
1.6%
주 4
 
1.6%
장 4
 
1.6%
Other values (71) 105
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 167
67.3%
Other Punctuation 78
31.5%
Space Separator 1
 
0.4%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 15
 
9.0%
이 12
 
7.2%
환 12
 
7.2%
송 6
 
3.6%
한 4
 
2.4%
하 4
 
2.4%
유 4
 
2.4%
주 4
 
2.4%
장 4
 
2.4%
권 4
 
2.4%
Other values (67) 98
58.7%
Other Punctuation
ValueCountFrequency (%)
* 78
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 167
67.3%
Common 81
32.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 15
 
9.0%
이 12
 
7.2%
환 12
 
7.2%
송 6
 
3.6%
한 4
 
2.4%
하 4
 
2.4%
유 4
 
2.4%
주 4
 
2.4%
장 4
 
2.4%
권 4
 
2.4%
Other values (67) 98
58.7%
Common
ValueCountFrequency (%)
* 78
96.3%
1
 
1.2%
( 1
 
1.2%
) 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 167
67.3%
ASCII 81
32.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 78
96.3%
1
 
1.2%
( 1
 
1.2%
) 1
 
1.2%
Hangul
ValueCountFrequency (%)
김 15
 
9.0%
이 12
 
7.2%
환 12
 
7.2%
송 6
 
3.6%
한 4
 
2.4%
하 4
 
2.4%
유 4
 
2.4%
주 4
 
2.4%
장 4
 
2.4%
권 4
 
2.4%
Other values (67) 98
58.7%

과제명
Text

Distinct77
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-13T00:18:19.604131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length36
Mean length27.5
Min length4

Characters and Unicode

Total characters2200
Distinct characters325
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

Unique75 ?
Unique (%)93.8%

Sample

1st row품위 대나무 가공 용기를 적용한 지속 가능한 제품화 기술개발
2nd rowIOT를 적용한 벽면녹화 시스템용 생육 컨트롤 패널 운영을 위한 어플리케이션(APP) 개발
3rd row위탁과제
4th row나노화 제품 살포 및 주변 생태 변화 확인
5th row산불확산예측모델 기반 연무확산모듈 개발
ValueCountFrequency (%)
및 34
 
6.1%
개발 21
 
3.8%
위한 10
 
1.8%
구축 7
 
1.3%
기반 6
 
1.1%
시스템 6
 
1.1%
평가 5
 
0.9%
분석 5
 
0.9%
기술 4
 
0.7%
대나무 4
 
0.7%
Other values (356) 455
81.7%
2023-12-13T00:18:20.191126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
481
 
21.9%
산 36
 
1.6%
및 34
 
1.5%
기 33
 
1.5%
발 32
 
1.5%
개 32
 
1.5%
성 31
 
1.4%
용 30
 
1.4%
한 27
 
1.2%
제 27
 
1.2%
Other values (315) 1437
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1569
71.3%
Space Separator 481
 
21.9%
Lowercase Letter 69
 
3.1%
Uppercase Letter 51
 
2.3%
Other Punctuation 12
 
0.5%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Dash Punctuation 4
 
0.2%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 36
 
2.3%
및 34
 
2.2%
기 33
 
2.1%
발 32
 
2.0%
개 32
 
2.0%
성 31
 
2.0%
용 30
 
1.9%
한 27
 
1.7%
제 27
 
1.7%
시 25
 
1.6%
Other values (270) 1262
80.4%
Lowercase Letter
ValueCountFrequency (%)
l 10
14.5%
a 7
10.1%
m 7
10.1%
i 6
8.7%
t 6
8.7%
o 6
8.7%
e 5
7.2%
n 4
 
5.8%
y 3
 
4.3%
c 3
 
4.3%
Other values (8) 12
17.4%
Uppercase Letter
ValueCountFrequency (%)
I 7
13.7%
C 7
13.7%
T 6
11.8%
B 6
11.8%
P 5
9.8%
D 4
7.8%
U 3
5.9%
A 2
 
3.9%
M 2
 
3.9%
E 2
 
3.9%
Other values (5) 7
13.7%
Other Punctuation
ValueCountFrequency (%)
, 5
41.7%
/ 3
25.0%
· 2
 
16.7%
. 1
 
8.3%
& 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
6 2
50.0%
2 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
481
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1569
71.3%
Common 511
 
23.2%
Latin 120
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 36
 
2.3%
및 34
 
2.2%
기 33
 
2.1%
발 32
 
2.0%
개 32
 
2.0%
성 31
 
2.0%
용 30
 
1.9%
한 27
 
1.7%
제 27
 
1.7%
시 25
 
1.6%
Other values (270) 1262
80.4%
Latin
ValueCountFrequency (%)
l 10
 
8.3%
a 7
 
5.8%
I 7
 
5.8%
m 7
 
5.8%
C 7
 
5.8%
i 6
 
5.0%
t 6
 
5.0%
T 6
 
5.0%
o 6
 
5.0%
B 6
 
5.0%
Other values (23) 52
43.3%
Common
ValueCountFrequency (%)
481
94.1%
) 5
 
1.0%
( 5
 
1.0%
, 5
 
1.0%
- 4
 
0.8%
/ 3
 
0.6%
· 2
 
0.4%
6 2
 
0.4%
2 1
 
0.2%
3 1
 
0.2%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1569
71.3%
ASCII 629
28.6%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
481
76.5%
l 10
 
1.6%
a 7
 
1.1%
I 7
 
1.1%
m 7
 
1.1%
C 7
 
1.1%
i 6
 
1.0%
t 6
 
1.0%
T 6
 
1.0%
o 6
 
1.0%
Other values (34) 86
 
13.7%
Hangul
ValueCountFrequency (%)
산 36
 
2.3%
및 34
 
2.2%
기 33
 
2.1%
발 32
 
2.0%
개 32
 
2.0%
성 31
 
2.0%
용 30
 
1.9%
한 27
 
1.7%
제 27
 
1.7%
시 25
 
1.6%
Other values (270) 1262
80.4%
None
ValueCountFrequency (%)
· 2
100.0%

등록일
Date

Distinct43
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2017-01-25 00:00:00
Maximum2021-06-09 00:00:00
2023-12-13T00:18:20.360690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:18:20.544778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

FTIS_과제번호
Text

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2023-12-13T00:18:20.860497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length19.325
Min length18

Characters and Unicode

Total characters1546
Distinct characters15
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 (%)97.5%

Sample

1st row2020262D31-2022C02
2nd row2021303B31-2121D02
3rd row2017019B31-1718-AA03
4th row2016018C31-1619-AB02
5th row2015075D31-1518A01
ValueCountFrequency (%)
2020262b32-2022c02 2
 
2.5%
2020187b31-2022-ba01 1
 
1.2%
2017038b31-1719-ba01 1
 
1.2%
2020180b31-2022-bb01 1
 
1.2%
2019144b31-1921b01 1
 
1.2%
2018117b31-1820b01 1
 
1.2%
2014071b31-1422a04 1
 
1.2%
2017060b31-1719-ab02 1
 
1.2%
2016002b31-1619-ab01 1
 
1.2%
2017064b31-1719-ab02 1
 
1.2%
Other values (69) 69
86.2%
2023-12-13T00:18:21.324524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 324
21.0%
1 306
19.8%
0 275
17.8%
3 134
8.7%
- 133
8.6%
B 99
 
6.4%
7 50
 
3.2%
A 43
 
2.8%
9 35
 
2.3%
6 32
 
2.1%
Other values (5) 115
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1219
78.8%
Uppercase Letter 194
 
12.5%
Dash Punctuation 133
 
8.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 324
26.6%
1 306
25.1%
0 275
22.6%
3 134
11.0%
7 50
 
4.1%
9 35
 
2.9%
6 32
 
2.6%
4 26
 
2.1%
8 23
 
1.9%
5 14
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
B 99
51.0%
A 43
22.2%
D 32
 
16.5%
C 20
 
10.3%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1352
87.5%
Latin 194
 
12.5%

Most frequent character per script

Common
ValueCountFrequency (%)
2 324
24.0%
1 306
22.6%
0 275
20.3%
3 134
9.9%
- 133
9.8%
7 50
 
3.7%
9 35
 
2.6%
6 32
 
2.4%
4 26
 
1.9%
8 23
 
1.7%
Latin
ValueCountFrequency (%)
B 99
51.0%
A 43
22.2%
D 32
 
16.5%
C 20
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1546
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 324
21.0%
1 306
19.8%
0 275
17.8%
3 134
8.7%
- 133
8.6%
B 99
 
6.4%
7 50
 
3.2%
A 43
 
2.8%
9 35
 
2.3%
6 32
 
2.1%
Other values (5) 115
 
7.4%

Correlations

2023-12-13T00:18:21.434351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연구책임자명과제명등록일FTIS_과제번호
연구책임자명1.0001.0000.9761.000
과제명1.0001.0001.0001.000
등록일0.9761.0001.0001.000
FTIS_과제번호1.0001.0001.0001.000

Missing values

2023-12-13T00:18:18.518829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:18:18.614669image/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

연구책임자명과제명등록일FTIS_과제번호
0김*권품위 대나무 가공 용기를 적용한 지속 가능한 제품화 기술개발2020-12-152020262D31-2022C02
1김*길IOT를 적용한 벽면녹화 시스템용 생육 컨트롤 패널 운영을 위한 어플리케이션(APP) 개발2021-02-182021303B31-2121D02
2조*호위탁과제2017-03-282017019B31-1718-AA03
3이*제나노화 제품 살포 및 주변 생태 변화 확인2017-04-062016018C31-1619-AB02
4이*기산불확산예측모델 기반 연무확산모듈 개발2017-06-232015075D31-1518A01
5송*일임의취약자를 위한 위험정보 알림서비스 개발2017-06-232015075D32-1518A01
6권*옥산림기반 맞춤형 건강관리 플랫폼 시각화 및 디자인 강화2018-07-092016004B31-1619-AB01
7김*곤칡섬유 방적기술 및 칡섬유 제품 동향 분석2019-04-012019142B31-1921-AB02
8임*택천적 키트 방제효과 검정2021-01-112021283B31-2122-AD01
9김*진(테스트) 산림과학기술정보서비스 개발2017-02-232017013B31-1718-AA01
연구책임자명과제명등록일FTIS_과제번호
70송*범항균코팅 및 세척수의 범용화를 위한 산채류로의 적용 시스템 구축2021-01-142021375C31-2123-BD02
71김*훈산지개발 재해정보 관리 플랫폼 개발2021-01-192021342B31-2121D01
72이*호대나무 줄기 유래 성분 함유 화장품 제품 개발2017-02-282016015D31-1619-AB02
73김*민ICT 지원 장비 및 하드웨어 제작, 모니터링 검증2017-02-282016007B31-1619-AB01
74(주)사이버라인산림연구 위탁과제2017-01-252017001B31-1721-AA01
75송*롬제조공정상 표준화, 6차산업화 모델제시2017-02-282016014C31-1619-AB02
76신*경화장품 2종에 대한 여드름성 피부 사용 적합성 평가시험2019-01-172017037C31-1719-BA01
77김*진동백나무 활용 6차 산업화를 위한 화장품 소재 제품개발2020-03-032019148B31-1921B02
78홍*기산림바이오매스를 이용한 개발 수처리제 성능 평가2020-03-052020213B31-2022C01
79권*환대나무 항진균 처리를 통한 항진균 활성 평가2020-12-152020262B32-2022C02

Duplicate rows

Most frequently occurring

연구책임자명과제명등록일FTIS_과제번호# duplicates
0권*환대나무 항진균 처리를 통한 항진균 활성 평가2020-12-152020262B32-2022C022