Overview

Dataset statistics

Number of variables3
Number of observations56
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory27.4 B

Variable types

Text2
Numeric1

Dataset

Description한국수력원자력(주)의 협력 연구개발 진행과제 목록에 대한 데이터로 연도별로 수행한 협약과제 내용을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15085003/fileData.do

Alerts

구분(협약번호) has unique valuesUnique

Reproduction

Analysis started2023-12-11 22:55:53.929600
Analysis finished2023-12-11 22:55:54.333256
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분(협약번호)
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T07:55:54.506293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters336
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row18중기01
2nd row18중기02
3rd row18중기03
4th row18중기04
5th row18중기05
ValueCountFrequency (%)
18중기01 1
 
1.8%
18중기02 1
 
1.8%
21중기12 1
 
1.8%
21중기01 1
 
1.8%
21중기02 1
 
1.8%
21중기03 1
 
1.8%
21중기04 1
 
1.8%
21중기05 1
 
1.8%
21중기06 1
 
1.8%
21중기07 1
 
1.8%
Other values (46) 46
82.1%
2023-12-12T07:55:54.865729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 62
18.5%
2 59
17.6%
중 56
16.7%
기 56
16.7%
1 49
14.6%
8 13
 
3.9%
9 11
 
3.3%
3 9
 
2.7%
4 6
 
1.8%
6 5
 
1.5%
Other values (2) 10
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 224
66.7%
Other Letter 112
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 62
27.7%
2 59
26.3%
1 49
21.9%
8 13
 
5.8%
9 11
 
4.9%
3 9
 
4.0%
4 6
 
2.7%
6 5
 
2.2%
5 5
 
2.2%
7 5
 
2.2%
Other Letter
ValueCountFrequency (%)
중 56
50.0%
기 56
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 224
66.7%
Hangul 112
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 62
27.7%
2 59
26.3%
1 49
21.9%
8 13
 
5.8%
9 11
 
4.9%
3 9
 
4.0%
4 6
 
2.7%
6 5
 
2.2%
5 5
 
2.2%
7 5
 
2.2%
Hangul
ValueCountFrequency (%)
중 56
50.0%
기 56
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 224
66.7%
Hangul 112
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 62
27.7%
2 59
26.3%
1 49
21.9%
8 13
 
5.8%
9 11
 
4.9%
3 9
 
4.0%
4 6
 
2.7%
6 5
 
2.2%
5 5
 
2.2%
7 5
 
2.2%
Hangul
ValueCountFrequency (%)
중 56
50.0%
기 56
50.0%

연도
Real number (ℝ)

Distinct6
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2020.3571
Minimum2018
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-12T07:55:54.986412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2018
5-th percentile2018
Q12019
median2020
Q32021
95-th percentile2022
Maximum2023
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3406724
Coefficient of variation (CV)0.00066358191
Kurtosis-0.83702538
Mean2020.3571
Median Absolute Deviation (MAD)1
Skewness-0.034971283
Sum113140
Variance1.7974026
MonotonicityIncreasing
2023-12-12T07:55:55.106641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2020 14
25.0%
2021 13
23.2%
2019 11
19.6%
2022 11
19.6%
2018 5
 
8.9%
2023 2
 
3.6%
ValueCountFrequency (%)
2018 5
 
8.9%
2019 11
19.6%
2020 14
25.0%
2021 13
23.2%
2022 11
19.6%
2023 2
 
3.6%
ValueCountFrequency (%)
2023 2
 
3.6%
2022 11
19.6%
2021 13
23.2%
2020 14
25.0%
2019 11
19.6%
2018 5
 
8.9%

협약과제명
Text

Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T07:55:55.463370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length25.321429
Min length13

Characters and Unicode

Total characters1418
Distinct characters272
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)96.4%

Sample

1st rowAPR1400 전자모듈 CIM 국산화 개발
2nd row보조급수펌프 터빈속도제어설비 개발
3rd row이동형/소형 농축폐액 건조처리설비 및 처분안전성 확보기술 개발
4th rowWEC 형 원전 사고대응용 Backup Seal 개발
5th row발전기 고정자 권선 수소 누설 감시 국산화
ValueCountFrequency (%)
개발 50
 
15.7%
국산화 27
 
8.5%
및 6
 
1.9%
비상디젤발전기 4
 
1.3%
원전 3
 
0.9%
장비 3
 
0.9%
발전기 3
 
0.9%
seal 3
 
0.9%
수력발전소 2
 
0.6%
콘크리트 2
 
0.6%
Other values (205) 215
67.6%
2023-12-12T07:55:55.898868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
 
18.5%
발 74
 
5.2%
개 53
 
3.7%
전 40
 
2.8%
기 38
 
2.7%
화 32
 
2.3%
산 27
 
1.9%
국 27
 
1.9%
수 22
 
1.6%
비 20
 
1.4%
Other values (262) 823
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 998
70.4%
Space Separator 262
 
18.5%
Lowercase Letter 83
 
5.9%
Uppercase Letter 53
 
3.7%
Decimal Number 12
 
0.8%
Other Punctuation 5
 
0.4%
Dash Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
발 74
 
7.4%
개 53
 
5.3%
전 40
 
4.0%
기 38
 
3.8%
화 32
 
3.2%
산 27
 
2.7%
국 27
 
2.7%
수 22
 
2.2%
비 20
 
2.0%
장 17
 
1.7%
Other values (211) 648
64.9%
Lowercase Letter
ValueCountFrequency (%)
e 11
13.3%
a 9
10.8%
r 9
10.8%
n 7
 
8.4%
t 7
 
8.4%
o 6
 
7.2%
l 5
 
6.0%
i 5
 
6.0%
g 3
 
3.6%
m 3
 
3.6%
Other values (10) 18
21.7%
Uppercase Letter
ValueCountFrequency (%)
S 11
20.8%
P 8
15.1%
C 7
13.2%
R 5
9.4%
M 4
 
7.5%
I 3
 
5.7%
F 3
 
5.7%
E 2
 
3.8%
A 2
 
3.8%
U 1
 
1.9%
Other values (7) 7
13.2%
Decimal Number
ValueCountFrequency (%)
1 2
16.7%
0 2
16.7%
4 2
16.7%
6 2
16.7%
5 2
16.7%
2 1
8.3%
7 1
8.3%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
/ 2
40.0%
Space Separator
ValueCountFrequency (%)
262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
∼ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 998
70.4%
Common 284
 
20.0%
Latin 136
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
발 74
 
7.4%
개 53
 
5.3%
전 40
 
4.0%
기 38
 
3.8%
화 32
 
3.2%
산 27
 
2.7%
국 27
 
2.7%
수 22
 
2.2%
비 20
 
2.0%
장 17
 
1.7%
Other values (211) 648
64.9%
Latin
ValueCountFrequency (%)
e 11
 
8.1%
S 11
 
8.1%
a 9
 
6.6%
r 9
 
6.6%
P 8
 
5.9%
n 7
 
5.1%
C 7
 
5.1%
t 7
 
5.1%
o 6
 
4.4%
l 5
 
3.7%
Other values (27) 56
41.2%
Common
ValueCountFrequency (%)
262
92.3%
, 3
 
1.1%
1 2
 
0.7%
/ 2
 
0.7%
0 2
 
0.7%
4 2
 
0.7%
6 2
 
0.7%
5 2
 
0.7%
- 2
 
0.7%
2 1
 
0.4%
Other values (4) 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 998
70.4%
ASCII 419
29.5%
Math Operators 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
62.5%
e 11
 
2.6%
S 11
 
2.6%
a 9
 
2.1%
r 9
 
2.1%
P 8
 
1.9%
n 7
 
1.7%
C 7
 
1.7%
t 7
 
1.7%
o 6
 
1.4%
Other values (40) 82
 
19.6%
Hangul
ValueCountFrequency (%)
발 74
 
7.4%
개 53
 
5.3%
전 40
 
4.0%
기 38
 
3.8%
화 32
 
3.2%
산 27
 
2.7%
국 27
 
2.7%
수 22
 
2.2%
비 20
 
2.0%
장 17
 
1.7%
Other values (211) 648
64.9%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

Interactions

2023-12-12T07:55:54.109744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T07:55:55.995599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분(협약번호)연도협약과제명
구분(협약번호)1.0001.0001.000
연도1.0001.0000.943
협약과제명1.0000.9431.000

Missing values

2023-12-12T07:55:54.227948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T07:55:54.297947image/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

구분(협약번호)연도협약과제명
018중기012018APR1400 전자모듈 CIM 국산화 개발
118중기022018보조급수펌프 터빈속도제어설비 개발
218중기032018이동형/소형 농축폐액 건조처리설비 및 처분안전성 확보기술 개발
318중기042018WEC 형 원전 사고대응용 Backup Seal 개발
418중기052018발전기 고정자 권선 수소 누설 감시 국산화
518중기062019공정제어계통 전원분배기 국산화
618중기072019비상디젤발전기 현장패널 경보카드 국산화 개발
718중기082019터빈로터 정밀 인양장치 개발
819중기012019사용후연료 운반레이들 모터제어기 국산화 개발
919중기022019저압터빈 그랜드패킹 케이씽 씰박스 설비개선
구분(협약번호)연도협약과제명
4622중기042022비상디젤발전기 제어용 보조계전기 국산화 개발
4722중기052022원전 주급수 벤츄리 세정, 재가공 장비 및 표준정비절차 개발
4822중기0620224-point probe를 활용한 부유 오일 감지 장치 개발
4922중기072022원전 일차측 기기결함 원인분석용 보트샘플링 기술 개발
5022중기082022디지털 IP Converter 국산화 개발
5122중기092022PMU 정보를 활용한 전력계통 및 발전기 상시특성 계측시스템 개발
5222중기102022F모델 증기발생기 TSP 1단∼7단 전열관 외곽지역 이물질 검사/제거 장비 개발
5322중기112022한빛5,6호기 발전소제어계통 전자회로기판 국산화 개발
5423중기012023순환수 배수관로 발생거품 물리적 제거장치 개발
5523중기022023발전소제어계통(PCS) 전원공급기 국산화 개발