Overview

Dataset statistics

Number of variables5
Number of observations92
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory42.4 B

Variable types

Numeric1
Text1
Categorical1
DateTime2

Dataset

Description국가산업을 선도하는 기계기술 전문연구기관인 한국기계연구원에서 수행하는 융복합 기계기술에 관련된 연구과제정보(순번,과제명,책임자,연구시작일, 연구종료일)
URLhttps://www.data.go.kr/data/15050389/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:41:47.430185
Analysis finished2023-12-12 16:41:47.992826
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.5
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-13T01:41:48.073428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.55
Q123.75
median46.5
Q369.25
95-th percentile87.45
Maximum92
Range91
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation26.70206
Coefficient of variation (CV)0.57423785
Kurtosis-1.2
Mean46.5
Median Absolute Deviation (MAD)23
Skewness0
Sum4278
Variance713
MonotonicityStrictly increasing
2023-12-13T01:41:48.529804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%

과제명
Text

Distinct56
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-13T01:41:48.837722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length21.836957
Min length14

Characters and Unicode

Total characters2009
Distinct characters183
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

Unique37 ?
Unique (%)40.2%

Sample

1st row산업계 지원 및 미래 유망 기계기술 기획
2nd row기존 기술 한계극복형 스마트 생산장비 개발
3rd row공공·안전 기계 시스템 엔지니어링 기술 개발
4th row에너지·환경 플랜트용 기계·설비 개발
5th row산업계 지원 및 미래 유망 기계기술 기획
ValueCountFrequency (%)
개발 57
 
11.8%
기술 28
 
5.8%
및 17
 
3.5%
기계 13
 
2.7%
산업계 12
 
2.5%
생산장비 10
 
2.1%
기획 9
 
1.9%
차세대 9
 
1.9%
지원 9
 
1.9%
위한 9
 
1.9%
Other values (149) 311
64.3%
2023-12-13T01:41:49.302142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
393
 
19.6%
기 157
 
7.8%
발 75
 
3.7%
계 73
 
3.6%
개 72
 
3.6%
술 67
 
3.3%
지 38
 
1.9%
산 36
 
1.8%
업 30
 
1.5%
비 25
 
1.2%
Other values (173) 1043
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1546
77.0%
Space Separator 393
 
19.6%
Other Punctuation 21
 
1.0%
Open Punctuation 10
 
0.5%
Lowercase Letter 10
 
0.5%
Close Punctuation 9
 
0.4%
Uppercase Letter 9
 
0.4%
Decimal Number 9
 
0.4%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 157
 
10.2%
발 75
 
4.9%
계 73
 
4.7%
개 72
 
4.7%
술 67
 
4.3%
지 38
 
2.5%
산 36
 
2.3%
업 30
 
1.9%
비 25
 
1.6%
연 24
 
1.6%
Other values (147) 949
61.4%
Uppercase Letter
ValueCountFrequency (%)
R 3
33.3%
I 1
 
11.1%
B 1
 
11.1%
E 1
 
11.1%
N 1
 
11.1%
T 1
 
11.1%
P 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
n 2
20.0%
i 2
20.0%
l 2
20.0%
g 1
10.0%
t 1
10.0%
r 1
10.0%
o 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
33.3%
2 3
33.3%
0 1
 
11.1%
7 1
 
11.1%
3 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
· 12
57.1%
/ 7
33.3%
. 2
 
9.5%
Space Separator
ValueCountFrequency (%)
393
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1546
77.0%
Common 444
 
22.1%
Latin 19
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 157
 
10.2%
발 75
 
4.9%
계 73
 
4.7%
개 72
 
4.7%
술 67
 
4.3%
지 38
 
2.5%
산 36
 
2.3%
업 30
 
1.9%
비 25
 
1.6%
연 24
 
1.6%
Other values (147) 949
61.4%
Latin
ValueCountFrequency (%)
R 3
15.8%
n 2
10.5%
i 2
10.5%
l 2
10.5%
g 1
 
5.3%
t 1
 
5.3%
r 1
 
5.3%
I 1
 
5.3%
B 1
 
5.3%
E 1
 
5.3%
Other values (4) 4
21.1%
Common
ValueCountFrequency (%)
393
88.5%
· 12
 
2.7%
( 10
 
2.3%
) 9
 
2.0%
/ 7
 
1.6%
1 3
 
0.7%
2 3
 
0.7%
. 2
 
0.5%
- 2
 
0.5%
0 1
 
0.2%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1546
77.0%
ASCII 451
 
22.4%
None 12
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
393
87.1%
( 10
 
2.2%
) 9
 
2.0%
/ 7
 
1.6%
R 3
 
0.7%
1 3
 
0.7%
2 3
 
0.7%
. 2
 
0.4%
- 2
 
0.4%
n 2
 
0.4%
Other values (15) 17
 
3.8%
Hangul
ValueCountFrequency (%)
기 157
 
10.2%
발 75
 
4.9%
계 73
 
4.7%
개 72
 
4.7%
술 67
 
4.3%
지 38
 
2.5%
산 36
 
2.3%
업 30
 
1.9%
비 25
 
1.6%
연 24
 
1.6%
Other values (147) 949
61.4%
None
ValueCountFrequency (%)
· 12
100.0%

책임자
Categorical

Distinct38
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
송준엽
9 
박성제
7 
박천홍
6 
김현실
6 
이창우
 
5
Other values (33)
59 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique20 ?
Unique (%)21.7%

Sample

1st row송준엽
2nd row이창우
3rd row김봉기
4th row박성제
5th row송준엽

Common Values

ValueCountFrequency (%)
송준엽 9
 
9.8%
박성제 7
 
7.6%
박천홍 6
 
6.5%
김현실 6
 
6.5%
이창우 5
 
5.4%
강건용 5
 
5.4%
정준호 4
 
4.3%
윤의수 4
 
4.3%
송영훈 4
 
4.3%
김봉기 4
 
4.3%
Other values (28) 38
41.3%

Length

2023-12-13T01:41:49.430482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
송준엽 9
 
9.8%
박성제 7
 
7.6%
박천홍 6
 
6.5%
김현실 6
 
6.5%
이창우 5
 
5.4%
강건용 5
 
5.4%
정준호 4
 
4.3%
윤의수 4
 
4.3%
송영훈 4
 
4.3%
김봉기 4
 
4.3%
Other values (28) 38
41.3%

연구시작일
Date

Distinct18
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum2007-01-01 00:00:00
Maximum2023-01-01 00:00:00
2023-12-13T01:41:49.524991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:49.623401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

연구종료일
Date

Distinct17
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum2007-12-31 00:00:00
Maximum2023-12-31 00:00:00
2023-12-13T01:41:49.735555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:41:49.849017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

Interactions

2023-12-13T01:41:47.749559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:41:49.943928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번과제명책임자연구시작일연구종료일
순번1.0000.7970.7400.9650.963
과제명0.7971.0000.9880.6260.000
책임자0.7400.9881.0000.0000.000
연구시작일0.9650.6260.0001.0001.000
연구종료일0.9630.0000.0001.0001.000
2023-12-13T01:41:50.026281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번책임자
순번1.0000.287
책임자0.2871.000

Missing values

2023-12-13T01:41:47.854347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:41:47.954028image/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

순번과제명책임자연구시작일연구종료일
01산업계 지원 및 미래 유망 기계기술 기획송준엽2023-01-012023-12-31
12기존 기술 한계극복형 스마트 생산장비 개발이창우2023-01-012023-12-31
23공공·안전 기계 시스템 엔지니어링 기술 개발김봉기2023-01-012023-12-31
34에너지·환경 플랜트용 기계·설비 개발박성제2023-01-012023-12-31
45산업계 지원 및 미래 유망 기계기술 기획송준엽2022-01-012022-12-31
56기존 기술 한계극복형 스마트 생산장비 개발이창우2022-01-012022-12-31
67공공·안전 기계 시스템 엔지니어링 기술 개발김봉기2022-01-012022-12-31
78에너지·환경 플랜트용 기계·설비 개발박성제2022-01-012022-12-31
89산업계 지원 및 미래 유망 기계기술 기획송준엽2021-01-012021-12-31
910기존 기술 한계극복형 스마트 생산장비 개발이창우2021-01-012021-12-31
순번과제명책임자연구시작일연구종료일
8283초정밀세정용 메가소닉기술 개발박성제2008-01-012008-12-31
8384풍력발전시스템 기반기술 개발한승호2008-01-012008-12-31
8485정전기력 잉크젯과 R2R을 응용한 차세대 디스플레이 패턴장비 개발(전문연김동수2008-01-012008-12-31
8586플라즈마 이용 배기정화 및 공정모듈 개발(전문연구사업)송영훈2008-01-012008-12-31
8687초고속 자기부상열차 부상 추진 핵심요소기술 개발(전문연구사업)성호경2008-01-012008-12-31
8788초고속 자기부상열차 주행/소음성능 핵심요소기술 개발박성환2007-01-012007-12-31
8889자연모사 응용 바이오기계 시스템 기술 개발(전문연구사업)김완두2007-01-012007-12-31
8990일반기계산업 분류체계 구축에 관한 연구최병익2007-01-012007-12-31
9091플라즈마 이용 배기정화 및 공정모듈 기술개발(전문연구사업)송영훈2007-01-012007-12-31
9192진공환경용 초정밀 가공장비 핵심기술 개발(2/3)이제훈2007-01-012007-12-31