Overview

Dataset statistics

Number of variables6
Number of observations81
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory50.6 B

Variable types

Numeric1
Categorical3
Text2

Dataset

Description산업통상자원부 국가기술표준원 주최 및 한국표준협회에서 주관하는 전국 품질분임조 경진대회 관련으로 한국수력원자력 참가팀의 수상 실적 내역입니다.
URLhttps://www.data.go.kr/data/15087097/fileData.do

Alerts

한수원 has constant value ""Constant
제목 has unique valuesUnique

Reproduction

Analysis started2023-12-13 00:14:14.713880
Analysis finished2023-12-13 00:14:15.229865
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Real number (ℝ)

Distinct12
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.2716
Minimum2011
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size861.0 B
2023-12-13T09:14:15.270980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2011
Q12013
median2016
Q32020
95-th percentile2022
Maximum2022
Range11
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.7782679
Coefficient of variation (CV)0.0018738884
Kurtosis-1.3893186
Mean2016.2716
Median Absolute Deviation (MAD)4
Skewness0.0902586
Sum163318
Variance14.275309
MonotonicityDecreasing
2023-12-13T09:14:15.349289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2012 11
13.6%
2022 10
12.3%
2011 9
11.1%
2019 8
9.9%
2020 7
8.6%
2015 7
8.6%
2013 7
8.6%
2016 6
7.4%
2017 5
6.2%
2021 4
 
4.9%
Other values (2) 7
8.6%
ValueCountFrequency (%)
2011 9
11.1%
2012 11
13.6%
2013 7
8.6%
2014 3
 
3.7%
2015 7
8.6%
2016 6
7.4%
2017 5
6.2%
2018 4
 
4.9%
2019 8
9.9%
2020 7
8.6%
ValueCountFrequency (%)
2022 10
12.3%
2021 4
 
4.9%
2020 7
8.6%
2019 8
9.9%
2018 4
 
4.9%
2017 5
6.2%
2016 6
7.4%
2015 7
8.6%
2014 3
 
3.7%
2013 7
8.6%

한수원
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size780.0 B
한국수력원자력㈜
81 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한국수력원자력㈜
2nd row한국수력원자력㈜
3rd row한국수력원자력㈜
4th row한국수력원자력㈜
5th row한국수력원자력㈜

Common Values

ValueCountFrequency (%)
한국수력원자력㈜ 81
100.0%

Length

2023-12-13T09:14:15.433370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:14:15.502799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국수력원자력㈜ 81
100.0%

사업소
Categorical

Distinct20
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
한울원자력본부
10 
한빛원자력본부
9 
고리원자력본부
9 
월성원자력본부
8 
한강수력본부
6 
Other values (15)
39 

Length

Max length8
Median length7
Mean length6.8765432
Min length5

Unique

Unique4 ?
Unique (%)4.9%

Sample

1st row월성원자력본부
2nd row한울원자력본부
3rd row칠보수력발전소
4th row고리원자력본부
5th row청평양수발전소

Common Values

ValueCountFrequency (%)
한울원자력본부 10
12.3%
한빛원자력본부 9
11.1%
고리원자력본부 9
11.1%
월성원자력본부 8
9.9%
한강수력본부 6
 
7.4%
양양양수발전소 5
 
6.2%
칠보수력발전소 5
 
6.2%
영광원자력본부 5
 
6.2%
무주양수발전소 4
 
4.9%
울진원자력본부 3
 
3.7%
Other values (10) 17
21.0%

Length

2023-12-13T09:14:15.583288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한울원자력본부 10
12.3%
한빛원자력본부 9
11.1%
고리원자력본부 9
11.1%
월성원자력본부 8
9.9%
한강수력본부 6
 
7.4%
양양양수발전소 5
 
6.2%
칠보수력발전소 5
 
6.2%
영광원자력본부 5
 
6.2%
무주양수발전소 4
 
4.9%
예천양수발전소 3
 
3.7%
Other values (10) 17
21.0%

분임조명
Text

Distinct56
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-13T09:14:15.765543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length4.1975309
Min length1

Characters and Unicode

Total characters340
Distinct characters136
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)50.6%

Sample

1st rowRISK-ZERO
2nd row육각수
3rd row전진
4th rowROOT
5th row그린파워
ValueCountFrequency (%)
전진 6
 
7.1%
반딧불이 4
 
4.8%
무등산 3
 
3.6%
잠망경 3
 
3.6%
난 3
 
3.6%
root 3
 
3.6%
cool-韓 2
 
2.4%
defect 2
 
2.4%
zero 2
 
2.4%
으랏차차 2
 
2.4%
Other values (47) 54
64.3%
2023-12-13T09:14:16.035422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 13
 
3.8%
O 11
 
3.2%
C 11
 
3.2%
A 11
 
3.2%
R 11
 
3.2%
o 8
 
2.4%
무 8
 
2.4%
전 6
 
1.8%
- 6
 
1.8%
스 6
 
1.8%
Other values (126) 249
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 199
58.5%
Uppercase Letter 97
28.5%
Lowercase Letter 26
 
7.6%
Dash Punctuation 6
 
1.8%
Space Separator 4
 
1.2%
Decimal Number 3
 
0.9%
Connector Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Math Symbol 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 8
 
4.0%
전 6
 
3.0%
스 6
 
3.0%
진 6
 
3.0%
크 5
 
2.5%
파 5
 
2.5%
린 4
 
2.0%
차 4
 
2.0%
이 4
 
2.0%
불 4
 
2.0%
Other values (90) 147
73.9%
Uppercase Letter
ValueCountFrequency (%)
E 13
13.4%
O 11
11.3%
C 11
11.3%
A 11
11.3%
R 11
11.3%
T 5
 
5.2%
D 5
 
5.2%
P 5
 
5.2%
S 4
 
4.1%
Z 3
 
3.1%
Other values (10) 18
18.6%
Lowercase Letter
ValueCountFrequency (%)
o 8
30.8%
e 6
23.1%
l 4
15.4%
r 3
 
11.5%
w 2
 
7.7%
n 2
 
7.7%
a 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
9 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 196
57.6%
Latin 123
36.2%
Common 18
 
5.3%
Han 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 8
 
4.1%
전 6
 
3.1%
스 6
 
3.1%
진 6
 
3.1%
크 5
 
2.6%
파 5
 
2.6%
린 4
 
2.0%
차 4
 
2.0%
이 4
 
2.0%
불 4
 
2.0%
Other values (89) 144
73.5%
Latin
ValueCountFrequency (%)
E 13
 
10.6%
O 11
 
8.9%
C 11
 
8.9%
A 11
 
8.9%
R 11
 
8.9%
o 8
 
6.5%
e 6
 
4.9%
T 5
 
4.1%
D 5
 
4.1%
P 5
 
4.1%
Other values (17) 37
30.1%
Common
ValueCountFrequency (%)
- 6
33.3%
4
22.2%
1 2
 
11.1%
_ 1
 
5.6%
( 1
 
5.6%
+ 1
 
5.6%
9 1
 
5.6%
) 1
 
5.6%
& 1
 
5.6%
Han
ValueCountFrequency (%)
韓 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 196
57.6%
ASCII 141
41.5%
CJK 3
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 13
 
9.2%
O 11
 
7.8%
C 11
 
7.8%
A 11
 
7.8%
R 11
 
7.8%
o 8
 
5.7%
- 6
 
4.3%
e 6
 
4.3%
T 5
 
3.5%
D 5
 
3.5%
Other values (26) 54
38.3%
Hangul
ValueCountFrequency (%)
무 8
 
4.1%
전 6
 
3.1%
스 6
 
3.1%
진 6
 
3.1%
크 5
 
2.6%
파 5
 
2.6%
린 4
 
2.0%
차 4
 
2.0%
이 4
 
2.0%
불 4
 
2.0%
Other values (89) 144
73.5%
CJK
ValueCountFrequency (%)
韓 3
100.0%

제목
Text

UNIQUE 

Distinct81
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size780.0 B
2023-12-13T09:14:16.174222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length27
Mean length21.679012
Min length14

Characters and Unicode

Total characters1756
Distinct characters217
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)100.0%

Sample

1st row냉각재계통 설비개선으로 노심손상위험지수 감소
2nd row1차계통 수질분석 프로세스 개선으로 업무시간 단축
3rd row수력발전공정 개선으로 정비시간 단축
4th row원자로 반응도제어 공정개선으로 경보 건수 감소
5th row양수발전소 전기 집진장치 개선으로 고장건수 감소
ValueCountFrequency (%)
감소 8
 
6.1%
개선으로 6
 
4.5%
단축 3
 
2.3%
공정개선으로 3
 
2.3%
고장건수 2
 
1.5%
설비개선으로 2
 
1.5%
전해설비 1
 
0.8%
해수 1
 
0.8%
전표처리업무프로세스개선으로거래처불만족률감소 1
 
0.8%
복수수처리프로세스개선으로철농도저감 1
 
0.8%
Other values (104) 104
78.8%
2023-12-13T09:14:16.414103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 102
 
5.8%
수 78
 
4.4%
선 78
 
4.4%
으 75
 
4.3%
개 75
 
4.3%
56
 
3.2%
정 55
 
3.1%
소 53
 
3.0%
감 50
 
2.8%
비 48
 
2.7%
Other values (207) 1086
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1650
94.0%
Space Separator 56
 
3.2%
Lowercase Letter 27
 
1.5%
Uppercase Letter 16
 
0.9%
Other Punctuation 3
 
0.2%
Decimal Number 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 102
 
6.2%
수 78
 
4.7%
선 78
 
4.7%
으 75
 
4.5%
개 75
 
4.5%
정 55
 
3.3%
소 53
 
3.2%
감 50
 
3.0%
비 48
 
2.9%
전 46
 
2.8%
Other values (181) 990
60.0%
Lowercase Letter
ValueCountFrequency (%)
a 5
18.5%
e 4
14.8%
r 4
14.8%
t 4
14.8%
o 3
11.1%
l 2
 
7.4%
i 1
 
3.7%
k 1
 
3.7%
p 1
 
3.7%
n 1
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
W 4
25.0%
S 4
25.0%
O 3
18.8%
C 2
12.5%
H 1
 
6.2%
F 1
 
6.2%
P 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
… 1
33.3%
/ 1
33.3%
. 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1650
94.0%
Common 63
 
3.6%
Latin 43
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 102
 
6.2%
수 78
 
4.7%
선 78
 
4.7%
으 75
 
4.5%
개 75
 
4.5%
정 55
 
3.3%
소 53
 
3.2%
감 50
 
3.0%
비 48
 
2.9%
전 46
 
2.8%
Other values (181) 990
60.0%
Latin
ValueCountFrequency (%)
a 5
11.6%
W 4
9.3%
e 4
9.3%
r 4
9.3%
t 4
9.3%
S 4
9.3%
O 3
 
7.0%
o 3
 
7.0%
C 2
 
4.7%
l 2
 
4.7%
Other values (8) 8
18.6%
Common
ValueCountFrequency (%)
56
88.9%
( 1
 
1.6%
… 1
 
1.6%
) 1
 
1.6%
/ 1
 
1.6%
1 1
 
1.6%
4 1
 
1.6%
. 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1650
94.0%
ASCII 105
 
6.0%
Punctuation 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 102
 
6.2%
수 78
 
4.7%
선 78
 
4.7%
으 75
 
4.5%
개 75
 
4.5%
정 55
 
3.3%
소 53
 
3.2%
감 50
 
3.0%
비 48
 
2.9%
전 46
 
2.8%
Other values (181) 990
60.0%
ASCII
ValueCountFrequency (%)
56
53.3%
a 5
 
4.8%
W 4
 
3.8%
e 4
 
3.8%
r 4
 
3.8%
t 4
 
3.8%
S 4
 
3.8%
O 3
 
2.9%
o 3
 
2.9%
C 2
 
1.9%
Other values (15) 16
 
15.2%
Punctuation
ValueCountFrequency (%)
… 1
100.0%

수상내역
Categorical

Distinct3
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size780.0 B
동상
35 
은상
29 
금상
17 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금상
2nd row금상
3rd row금상
4th row은상
5th row은상

Common Values

ValueCountFrequency (%)
동상 35
43.2%
은상 29
35.8%
금상 17
21.0%

Length

2023-12-13T09:14:16.509327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:14:16.583754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동상 35
43.2%
은상 29
35.8%
금상 17
21.0%

Interactions

2023-12-13T09:14:15.042457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:14:16.636989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도사업소분임조명제목수상내역
년도1.0000.4720.0001.0000.000
사업소0.4721.0000.9821.0000.000
분임조명0.0000.9821.0001.0000.378
제목1.0001.0001.0001.0001.000
수상내역0.0000.0000.3781.0001.000
2023-12-13T09:14:16.710452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수상내역사업소
수상내역1.0000.000
사업소0.0001.000
2023-12-13T09:14:16.769876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도사업소수상내역
년도1.0000.1310.000
사업소0.1311.0000.000
수상내역0.0000.0001.000

Missing values

2023-12-13T09:14:15.125557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:14:15.199684image/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

년도한수원사업소분임조명제목수상내역
02022한국수력원자력㈜월성원자력본부RISK-ZERO냉각재계통 설비개선으로 노심손상위험지수 감소금상
12022한국수력원자력㈜한울원자력본부육각수1차계통 수질분석 프로세스 개선으로 업무시간 단축금상
22022한국수력원자력㈜칠보수력발전소전진수력발전공정 개선으로 정비시간 단축금상
32022한국수력원자력㈜고리원자력본부ROOT원자로 반응도제어 공정개선으로 경보 건수 감소은상
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