Overview

Dataset statistics

Number of variables3
Number of observations70
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory26.9 B

Variable types

Numeric1
Text1
Categorical1

Dataset

Description한국항공우주연구원이 보유하고 있는 기술 중에서 기술이전이 예정되어있거나 기술이전 계약이 체결된 기술의 목록입니다. 항목은 기술명으로 구성됩니다.
Author한국항공우주연구원
URLhttps://www.data.go.kr/data/15106804/fileData.do

Alerts

실시권형태 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:56:54.180065
Analysis finished2023-12-12 17:56:54.537732
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.5
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-13T02:56:54.603629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.45
Q118.25
median35.5
Q352.75
95-th percentile66.55
Maximum70
Range69
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation20.351085
Coefficient of variation (CV)0.57327
Kurtosis-1.2
Mean35.5
Median Absolute Deviation (MAD)17.5
Skewness0
Sum2485
Variance414.16667
MonotonicityStrictly increasing
2023-12-13T02:56:54.800532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
46 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
45 1
 
1.4%
54 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%
Distinct69
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-13T02:56:55.093601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length34
Mean length23.914286
Min length6

Characters and Unicode

Total characters1674
Distinct characters288
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)97.1%

Sample

1st rowQTP 전기동력 수직이착륙기 설계/해석 기술
2nd row특수공정(Nadcap) 인증 기술
3rd row다중 센서 다중 타겟 추적 기술
4th row무인항공기의 랜딩 보조 장치
5th row우주용부품 전자기적합성 검증기술
ValueCountFrequency (%)
기술 31
 
7.6%
23
 
5.7%
설계 7
 
1.7%
개발 7
 
1.7%
시스템 6
 
1.5%
위한 5
 
1.2%
이용한 5
 
1.2%
다중 4
 
1.0%
소프트웨어 4
 
1.0%
해석 3
 
0.7%
Other values (269) 312
76.7%
2023-12-13T02:56:55.527577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
337
 
20.1%
73
 
4.4%
42
 
2.5%
24
 
1.4%
23
 
1.4%
22
 
1.3%
22
 
1.3%
21
 
1.3%
20
 
1.2%
19
 
1.1%
Other values (278) 1071
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1237
73.9%
Space Separator 337
 
20.1%
Uppercase Letter 37
 
2.2%
Lowercase Letter 36
 
2.2%
Other Punctuation 10
 
0.6%
Decimal Number 6
 
0.4%
Close Punctuation 5
 
0.3%
Open Punctuation 5
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
73
 
5.9%
42
 
3.4%
24
 
1.9%
23
 
1.9%
22
 
1.8%
22
 
1.8%
21
 
1.7%
20
 
1.6%
19
 
1.5%
18
 
1.5%
Other values (241) 953
77.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
11.1%
i 4
11.1%
n 4
11.1%
a 4
11.1%
d 3
8.3%
c 3
8.3%
s 3
8.3%
t 3
8.3%
p 2
5.6%
o 2
5.6%
Other values (4) 4
11.1%
Uppercase Letter
ValueCountFrequency (%)
S 5
13.5%
A 4
10.8%
T 4
10.8%
P 4
10.8%
E 4
10.8%
D 4
10.8%
N 3
8.1%
C 2
 
5.4%
R 2
 
5.4%
G 2
 
5.4%
Other values (3) 3
8.1%
Decimal Number
ValueCountFrequency (%)
3 3
50.0%
0 1
 
16.7%
2 1
 
16.7%
6 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 7
70.0%
, 3
30.0%
Space Separator
ValueCountFrequency (%)
337
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1237
73.9%
Common 364
 
21.7%
Latin 73
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
73
 
5.9%
42
 
3.4%
24
 
1.9%
23
 
1.9%
22
 
1.8%
22
 
1.8%
21
 
1.7%
20
 
1.6%
19
 
1.5%
18
 
1.5%
Other values (241) 953
77.0%
Latin
ValueCountFrequency (%)
S 5
 
6.8%
e 4
 
5.5%
i 4
 
5.5%
A 4
 
5.5%
T 4
 
5.5%
n 4
 
5.5%
a 4
 
5.5%
P 4
 
5.5%
E 4
 
5.5%
D 4
 
5.5%
Other values (17) 32
43.8%
Common
ValueCountFrequency (%)
337
92.6%
/ 7
 
1.9%
) 5
 
1.4%
( 5
 
1.4%
3 3
 
0.8%
, 3
 
0.8%
0 1
 
0.3%
2 1
 
0.3%
6 1
 
0.3%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1237
73.9%
ASCII 437
 
26.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
337
77.1%
/ 7
 
1.6%
S 5
 
1.1%
) 5
 
1.1%
( 5
 
1.1%
e 4
 
0.9%
i 4
 
0.9%
A 4
 
0.9%
T 4
 
0.9%
n 4
 
0.9%
Other values (27) 58
 
13.3%
Hangul
ValueCountFrequency (%)
73
 
5.9%
42
 
3.4%
24
 
1.9%
23
 
1.9%
22
 
1.8%
22
 
1.8%
21
 
1.7%
20
 
1.6%
19
 
1.5%
18
 
1.5%
Other values (241) 953
77.0%

실시권형태
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
통상실시권
70 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
통상실시권 70
100.0%

Length

2023-12-13T02:56:55.669126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:56:55.791842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
통상실시권 70
100.0%

Interactions

2023-12-13T02:56:54.343046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:56:55.852125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기술명
순번1.0001.000
기술명1.0001.000

Missing values

2023-12-13T02:56:54.443573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:56:54.510089image/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

순번기술명실시권형태
01QTP 전기동력 수직이착륙기 설계/해석 기술통상실시권
12특수공정(Nadcap) 인증 기술통상실시권
23다중 센서 다중 타겟 추적 기술통상실시권
34무인항공기의 랜딩 보조 장치통상실시권
45우주용부품 전자기적합성 검증기술통상실시권
56로터 소음 해석 코드통상실시권
67우주항공 기저대역 및 고주파수 통신 시스템 검증 기술통상실시권
78우주항공 분야 통합 시험/운영 시스템 소프트웨어 및 설계 기술통상실시권
89우주항공 분야 통합 시험/운영 시스템 소프트웨어 및 설계 기술통상실시권
910위성시스템시험 전자지상지원장비(EGSE) 설계 및 개발기술통상실시권
순번기술명실시권형태
60613D 프린팅을 활용한 알루미늄 허니컴 제조방법통상실시권
6162연구개발 사업(프로젝트)을 위한 관리시스템 개발 기술통상실시권
6263실내 자율 근접 비행 기술통상실시권
6364온도센서 및 상기 온도센서를 구비하는 온도측정장치통상실시권
6465과냉각 극저온 유체제조장치 및 이를 이용한 유체제조방법통상실시권
6566NiTi 형상기억합급의 역쌍정 변태를 활용한 감쇄형 테이프 스프링 힌지통상실시권
6667한국형발사체 개발 기술통상실시권
6768관측용 무동력형 비행 유닛통상실시권
6869소형 로켓 엔진용 전기펌프통상실시권
6970위성탑재용 안테나 지향장치 (APM) 및 그 제어장치 (APD)통상실시권