Overview

Dataset statistics

Number of variables19
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory175.1 B

Variable types

Numeric7
Text1
Categorical11

Dataset

Description이용률(%),원자로비가동률(%),비계획원자로정지,비계획출력변동,복잡한 비계획원자로정지(회),안전계통신뢰도(안전주입계통),안전계통신뢰도(비상발전기계통),안전계통신뢰도(보조급수계통),안전계통신뢰도(잔열제거계통),안전계통신뢰도(냉각수 계통),안전계통기기고장(회),핵연료건전성(%),1차냉각재계통건전성(%),격납건물건전성(%),비상대책(%),소내방사선선량(man-Sv),소외방사선준위(μ㏜) 관련자료입니다.
Author한국수력원자력(주)
URLhttps://www.data.go.kr/data/15061560/fileData.do

Alerts

안전계통신뢰도(잔열제거계통) has constant value ""Constant
격납건물건전성(백분율) has constant value ""Constant
비상대책(백분율) has constant value ""Constant
소외방사선준위 is highly overall correlated with 번호 and 1 other fieldsHigh correlation
안전계통신뢰도(보조급수계통) is highly overall correlated with 핵연료건전성(백분율) and 2 other fieldsHigh correlation
비계획원자로정지 is highly overall correlated with 안전계통신뢰도(비상발전기계통) and 3 other fieldsHigh correlation
원자로비가동률(백분율) is highly overall correlated with 소내방사선선량 and 2 other fieldsHigh correlation
안전계통신뢰도(냉각수계통) is highly overall correlated with 안전계통신뢰도(비상발전기계통) and 2 other fieldsHigh correlation
안전계통신뢰도(안전주입계통) is highly overall correlated with 안전계통신뢰도(비상발전기계통) and 2 other fieldsHigh correlation
복잡한비계획원자로정지(회) is highly overall correlated with 번호 and 13 other fieldsHigh correlation
비계획출력변동 is highly overall correlated with 번호 and 4 other fieldsHigh correlation
번호 is highly overall correlated with 이용률(백분율) and 4 other fieldsHigh correlation
이용률(백분율) is highly overall correlated with 번호 and 2 other fieldsHigh correlation
안전계통신뢰도(비상발전기계통) is highly overall correlated with 안전계통기기고장(회) and 5 other fieldsHigh correlation
안전계통기기고장(회) is highly overall correlated with 안전계통신뢰도(비상발전기계통) and 1 other fieldsHigh correlation
핵연료건전성(백분율) is highly overall correlated with 비계획출력변동 and 3 other fieldsHigh correlation
1차냉각재계통건전성(백분율) is highly overall correlated with 복잡한비계획원자로정지(회)High correlation
소내방사선선량 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
원자로비가동률(백분율) is highly imbalanced (64.0%)Imbalance
비계획원자로정지 is highly imbalanced (56.3%)Imbalance
복잡한비계획원자로정지(회) is highly imbalanced (59.8%)Imbalance
안전계통신뢰도(안전주입계통) is highly imbalanced (59.8%)Imbalance
안전계통신뢰도(보조급수계통) is highly imbalanced (59.6%)Imbalance
번호 has unique valuesUnique
호기 has unique valuesUnique
소내방사선선량 has unique valuesUnique
안전계통신뢰도(비상발전기계통) has 16 (64.0%) zerosZeros
핵연료건전성(백분율) has 7 (28.0%) zerosZeros
1차냉각재계통건전성(백분율) has 2 (8.0%) zerosZeros

Reproduction

Analysis started2024-03-14 19:21:32.115289
Analysis finished2024-03-14 19:21:45.993313
Duration13.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-03-15T04:21:46.167312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2024-03-15T04:21:46.532256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

호기
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
2024-03-15T04:21:47.268816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.2
Min length3

Characters and Unicode

Total characters80
Distinct characters15
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

Unique25 ?
Unique (%)100.0%

Sample

1st row고리2
2nd row고리3
3rd row고리4
4th row한울1
5th row한울2
ValueCountFrequency (%)
고리2 1
 
4.0%
한빛2 1
 
4.0%
신월성1 1
 
4.0%
새울2 1
 
4.0%
새울1 1
 
4.0%
신한울1 1
 
4.0%
신고리2 1
 
4.0%
신고리1 1
 
4.0%
한빛6 1
 
4.0%
한빛5 1
 
4.0%
Other values (15) 15
60.0%
2024-03-15T04:21:48.463156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
한 13
16.2%
울 9
11.2%
2 7
8.8%
1 6
7.5%
빛 6
7.5%
고 5
 
6.2%
리 5
 
6.2%
월 5
 
6.2%
성 5
 
6.2%
신 5
 
6.2%
Other values (5) 14
17.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55
68.8%
Decimal Number 25
31.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 13
23.6%
울 9
16.4%
빛 6
10.9%
고 5
 
9.1%
리 5
 
9.1%
월 5
 
9.1%
성 5
 
9.1%
신 5
 
9.1%
새 2
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 7
28.0%
1 6
24.0%
3 4
16.0%
4 4
16.0%
5 2
 
8.0%
6 2
 
8.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55
68.8%
Common 25
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 13
23.6%
울 9
16.4%
빛 6
10.9%
고 5
 
9.1%
리 5
 
9.1%
월 5
 
9.1%
성 5
 
9.1%
신 5
 
9.1%
새 2
 
3.6%
Common
ValueCountFrequency (%)
2 7
28.0%
1 6
24.0%
3 4
16.0%
4 4
16.0%
5 2
 
8.0%
6 2
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55
68.8%
ASCII 25
31.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
한 13
23.6%
울 9
16.4%
빛 6
10.9%
고 5
 
9.1%
리 5
 
9.1%
월 5
 
9.1%
성 5
 
9.1%
신 5
 
9.1%
새 2
 
3.6%
ASCII
ValueCountFrequency (%)
2 7
28.0%
1 6
24.0%
3 4
16.0%
4 4
16.0%
5 2
 
8.0%
6 2
 
8.0%

이용률(백분율)
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.1496
Minimum15.95
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-03-15T04:21:48.675883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.95
5-th percentile30.81
Q170
median84.87
Q399.08
95-th percentile100
Maximum100
Range84.05
Interquartile range (IQR)29.08

Descriptive statistics

Standard deviation22.146284
Coefficient of variation (CV)0.27980285
Kurtosis2.3549349
Mean79.1496
Median Absolute Deviation (MAD)14.57
Skewness-1.5401156
Sum1978.74
Variance490.45788
MonotonicityNot monotonic
2024-03-15T04:21:48.881230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
100.0 5
20.0%
26.77 1
 
4.0%
67.87 1
 
4.0%
99.44 1
 
4.0%
84.87 1
 
4.0%
99.08 1
 
4.0%
73.67 1
 
4.0%
84.75 1
 
4.0%
15.95 1
 
4.0%
67.83 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
15.95 1
4.0%
26.77 1
4.0%
46.97 1
4.0%
66.88 1
4.0%
67.83 1
4.0%
67.87 1
4.0%
70.0 1
4.0%
73.67 1
4.0%
74.47 1
4.0%
78.52 1
4.0%
ValueCountFrequency (%)
100.0 5
20.0%
99.44 1
 
4.0%
99.08 1
 
4.0%
91.53 1
 
4.0%
88.71 1
 
4.0%
87.03 1
 
4.0%
86.51 1
 
4.0%
84.96 1
 
4.0%
84.87 1
 
4.0%
84.75 1
 
4.0%

원자로비가동률(백분율)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
0.0
22 
1.71
 
1
13.61
 
1
4.29
 
1

Length

Max length5
Median length3
Mean length3.16
Min length3

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row0.0
2nd row1.71
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 22
88.0%
1.71 1
 
4.0%
13.61 1
 
4.0%
4.29 1
 
4.0%

Length

2024-03-15T04:21:49.215235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:21:49.515305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 22
88.0%
1.71 1
 
4.0%
13.61 1
 
4.0%
4.29 1
 
4.0%

비계획원자로정지
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
0.0
21 
<NA>
 
2
1.16
 
1
1.04
 
1

Length

Max length4
Median length3
Mean length3.16
Min length3

Unique

Unique2 ?
Unique (%)8.0%

Sample

1st row<NA>
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 21
84.0%
<NA> 2
 
8.0%
1.16 1
 
4.0%
1.04 1
 
4.0%

Length

2024-03-15T04:21:49.710019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:21:49.982305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 21
84.0%
na 2
 
8.0%
1.16 1
 
4.0%
1.04 1
 
4.0%

비계획출력변동
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
0
19 
1
4 
<NA>
2 

Length

Max length4
Median length1
Mean length1.24
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 19
76.0%
1 4
 
16.0%
<NA> 2
 
8.0%

Length

2024-03-15T04:21:50.322731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:21:50.646592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 19
76.0%
1 4
 
16.0%
na 2
 
8.0%

복잡한비계획원자로정지(회)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
0
23 
<NA>
 
2

Length

Max length4
Median length1
Mean length1.24
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23
92.0%
<NA> 2
 
8.0%

Length

2024-03-15T04:21:51.002535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:21:51.475547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23
92.0%
na 2
 
8.0%

안전계통신뢰도(안전주입계통)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
0.0
23 
0.001
 
2

Length

Max length5
Median length3
Mean length3.16
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 23
92.0%
0.001 2
 
8.0%

Length

2024-03-15T04:21:51.893959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:21:52.273906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 23
92.0%
0.001 2
 
8.0%

안전계통신뢰도(비상발전기계통)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00208
Minimum0
Maximum0.022
Zeros16
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-03-15T04:21:52.590251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.001
95-th percentile0.0126
Maximum0.022
Range0.022
Interquartile range (IQR)0.001

Descriptive statistics

Standard deviation0.0051471675
Coefficient of variation (CV)2.4745998
Kurtosis10.199359
Mean0.00208
Median Absolute Deviation (MAD)0
Skewness3.1781916
Sum0.052
Variance2.6493333 × 10-5
MonotonicityNot monotonic
2024-03-15T04:21:52.993534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 16
64.0%
0.002 3
 
12.0%
0.001 3
 
12.0%
0.007 1
 
4.0%
0.014 1
 
4.0%
0.022 1
 
4.0%
ValueCountFrequency (%)
0.0 16
64.0%
0.001 3
 
12.0%
0.002 3
 
12.0%
0.007 1
 
4.0%
0.014 1
 
4.0%
0.022 1
 
4.0%
ValueCountFrequency (%)
0.022 1
 
4.0%
0.014 1
 
4.0%
0.007 1
 
4.0%
0.002 3
 
12.0%
0.001 3
 
12.0%
0.0 16
64.0%

안전계통신뢰도(보조급수계통)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
0.0
22 
0.001
 
2
0.026
 
1

Length

Max length5
Median length3
Mean length3.24
Min length3

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 22
88.0%
0.001 2
 
8.0%
0.026 1
 
4.0%

Length

2024-03-15T04:21:53.436820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:21:53.797097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 22
88.0%
0.001 2
 
8.0%
0.026 1
 
4.0%

안전계통신뢰도(잔열제거계통)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
0
25 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 25
100.0%

Length

2024-03-15T04:21:54.183717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:21:54.493523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 25
100.0%

안전계통신뢰도(냉각수계통)
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
0.0
19 
0.001
4 
0.003
 
1
0.005
 
1

Length

Max length5
Median length3
Mean length3.48
Min length3

Unique

Unique2 ?
Unique (%)8.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.001
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 19
76.0%
0.001 4
 
16.0%
0.003 1
 
4.0%
0.005 1
 
4.0%

Length

2024-03-15T04:21:54.891788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:21:55.309532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 19
76.0%
0.001 4
 
16.0%
0.003 1
 
4.0%
0.005 1
 
4.0%

안전계통기기고장(회)
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-03-15T04:21:55.475422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile7
Maximum9
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1213203
Coefficient of variation (CV)0.50507627
Kurtosis-0.37261504
Mean4.2
Median Absolute Deviation (MAD)1
Skewness0.42699685
Sum105
Variance4.5
MonotonicityNot monotonic
2024-03-15T04:21:55.672616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 7
28.0%
4 5
20.0%
7 4
16.0%
1 3
12.0%
5 2
 
8.0%
6 2
 
8.0%
9 1
 
4.0%
2 1
 
4.0%
ValueCountFrequency (%)
1 3
12.0%
2 1
 
4.0%
3 7
28.0%
4 5
20.0%
5 2
 
8.0%
6 2
 
8.0%
7 4
16.0%
9 1
 
4.0%
ValueCountFrequency (%)
9 1
 
4.0%
7 4
16.0%
6 2
 
8.0%
5 2
 
8.0%
4 5
20.0%
3 7
28.0%
2 1
 
4.0%
1 3
12.0%

핵연료건전성(백분율)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01268
Minimum0
Maximum0.155
Zeros7
Zeros (%)28.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-03-15T04:21:55.879619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.003
Q30.01
95-th percentile0.0468
Maximum0.155
Range0.155
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.031650066
Coefficient of variation (CV)2.496062
Kurtosis18.638647
Mean0.01268
Median Absolute Deviation (MAD)0.003
Skewness4.1854582
Sum0.317
Variance0.0010017267
MonotonicityNot monotonic
2024-03-15T04:21:56.097639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 7
28.0%
0.002 4
16.0%
0.011 2
 
8.0%
0.01 2
 
8.0%
0.004 2
 
8.0%
0.008 1
 
4.0%
0.155 1
 
4.0%
0.001 1
 
4.0%
0.054 1
 
4.0%
0.018 1
 
4.0%
Other values (3) 3
12.0%
ValueCountFrequency (%)
0.0 7
28.0%
0.001 1
 
4.0%
0.002 4
16.0%
0.003 1
 
4.0%
0.004 2
 
8.0%
0.006 1
 
4.0%
0.008 1
 
4.0%
0.01 2
 
8.0%
0.011 2
 
8.0%
0.014 1
 
4.0%
ValueCountFrequency (%)
0.155 1
4.0%
0.054 1
4.0%
0.018 1
4.0%
0.014 1
4.0%
0.011 2
8.0%
0.01 2
8.0%
0.008 1
4.0%
0.006 1
4.0%
0.004 2
8.0%
0.003 1
4.0%

1차냉각재계통건전성(백분율)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58184
Minimum0
Maximum2.115
Zeros2
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-03-15T04:21:56.661799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0382
Q10.321
median0.5
Q30.677
95-th percentile1.7516
Maximum2.115
Range2.115
Interquartile range (IQR)0.356

Descriptive statistics

Standard deviation0.48694436
Coefficient of variation (CV)0.83690423
Kurtosis5.5210356
Mean0.58184
Median Absolute Deviation (MAD)0.179
Skewness2.2311985
Sum14.546
Variance0.23711481
MonotonicityNot monotonic
2024-03-15T04:21:57.021163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.5 4
16.0%
0.4 3
12.0%
0.7 3
12.0%
0.3 3
12.0%
0.0 2
 
8.0%
0.552 1
 
4.0%
0.934 1
 
4.0%
1.956 1
 
4.0%
0.677 1
 
4.0%
0.6 1
 
4.0%
Other values (5) 5
20.0%
ValueCountFrequency (%)
0.0 2
8.0%
0.191 1
 
4.0%
0.3 3
12.0%
0.321 1
 
4.0%
0.4 3
12.0%
0.492 1
 
4.0%
0.5 4
16.0%
0.508 1
 
4.0%
0.552 1
 
4.0%
0.6 1
 
4.0%
ValueCountFrequency (%)
2.115 1
 
4.0%
1.956 1
 
4.0%
0.934 1
 
4.0%
0.7 3
12.0%
0.677 1
 
4.0%
0.6 1
 
4.0%
0.552 1
 
4.0%
0.508 1
 
4.0%
0.5 4
16.0%
0.492 1
 
4.0%

격납건물건전성(백분율)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
96
25 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row96
2nd row96
3rd row96
4th row96
5th row96

Common Values

ValueCountFrequency (%)
96 25
100.0%

Length

2024-03-15T04:21:57.372339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:21:57.724699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
96 25
100.0%

비상대책(백분율)
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
100
25 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 25
100.0%

Length

2024-03-15T04:21:58.048453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:21:58.265157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 25
100.0%

소내방사선선량
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.30832
Minimum0.002
Maximum1.669
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size353.0 B
2024-03-15T04:21:58.421906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.002
5-th percentile0.0034
Q10.016
median0.249
Q30.494
95-th percentile0.9246
Maximum1.669
Range1.667
Interquartile range (IQR)0.478

Descriptive statistics

Standard deviation0.38627017
Coefficient of variation (CV)1.2528223
Kurtosis5.6194806
Mean0.30832
Median Absolute Deviation (MAD)0.239
Skewness2.1058185
Sum7.708
Variance0.14920464
MonotonicityNot monotonic
2024-03-15T04:21:58.815260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.074 1
 
4.0%
1.001 1
 
4.0%
0.01 1
 
4.0%
0.122 1
 
4.0%
0.006 1
 
4.0%
0.336 1
 
4.0%
0.003 1
 
4.0%
0.005 1
 
4.0%
0.023 1
 
4.0%
0.016 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
0.002 1
4.0%
0.003 1
4.0%
0.005 1
4.0%
0.006 1
4.0%
0.007 1
4.0%
0.01 1
4.0%
0.016 1
4.0%
0.023 1
4.0%
0.036 1
4.0%
0.074 1
4.0%
ValueCountFrequency (%)
1.669 1
4.0%
1.001 1
4.0%
0.619 1
4.0%
0.602 1
4.0%
0.568 1
4.0%
0.518 1
4.0%
0.494 1
4.0%
0.339 1
4.0%
0.336 1
4.0%
0.333 1
4.0%

소외방사선준위
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
0.725
7 
3.963
7 
0.799
6 
2.16
5 

Length

Max length5
Median length5
Mean length4.8
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.725
2nd row0.725
3rd row0.725
4th row3.963
5th row3.963

Common Values

ValueCountFrequency (%)
0.725 7
28.0%
3.963 7
28.0%
0.799 6
24.0%
2.16 5
20.0%

Length

2024-03-15T04:21:59.047322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:21:59.238497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.725 7
28.0%
3.963 7
28.0%
0.799 6
24.0%
2.16 5
20.0%

Interactions

2024-03-15T04:21:43.069417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:33.501243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:35.152081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:36.505380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:37.895947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:39.463466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:41.246200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:43.330498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:33.739018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:35.320462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:36.643657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:38.146173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:39.743206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:41.484481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:43.579197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:33.971170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:35.552660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:36.782895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:38.351785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:39.946780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:41.719789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:43.822232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:34.207695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:35.687397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:37.019006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:38.571530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:40.112834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:41.958218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:44.091434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:34.466536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:35.905730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:37.277301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:38.768537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:40.288560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:42.230558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:44.359638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:34.726924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:36.173350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:37.510461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:38.976367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:40.725439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:42.493793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:44.610911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:34.961510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:36.349726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:37.646199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:39.192410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:40.937988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:21:42.813132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:21:59.390357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호호기이용률(백분율)원자로비가동률(백분율)비계획원자로정지비계획출력변동안전계통신뢰도(안전주입계통)안전계통신뢰도(비상발전기계통)안전계통신뢰도(보조급수계통)안전계통신뢰도(냉각수계통)안전계통기기고장(회)핵연료건전성(백분율)1차냉각재계통건전성(백분율)소내방사선선량소외방사선준위
번호1.0001.0000.3420.0000.0000.9540.1260.0700.5150.0000.0000.0700.0000.6850.900
호기1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
이용률(백분율)0.3421.0001.0000.0000.0000.0000.0000.0000.4300.0000.0000.0000.5620.7280.462
원자로비가동률(백분율)0.0001.0000.0001.0001.0000.0000.0000.8440.0000.8480.0000.0000.0650.7760.000
비계획원자로정지0.0001.0000.0001.0001.0000.0000.0000.6330.0000.6360.0000.0000.7250.4830.045
비계획출력변동0.9541.0000.0000.0000.0001.0000.0000.8180.4020.2920.0000.8180.3970.4590.520
안전계통신뢰도(안전주입계통)0.1261.0000.0000.0000.0000.0001.0000.8440.2300.0000.0000.8440.0000.0000.000
안전계통신뢰도(비상발전기계통)0.0701.0000.0000.8440.6330.8180.8441.0000.3830.8930.0000.8440.4850.0000.000
안전계통신뢰도(보조급수계통)0.5151.0000.4300.0000.0000.4020.2300.3831.0000.0000.0000.7810.0000.0000.000
안전계통신뢰도(냉각수계통)0.0001.0000.0000.8480.6360.2920.0000.8930.0001.0000.4650.4710.2500.0000.342
안전계통기기고장(회)0.0001.0000.0000.0000.0000.0000.0000.0000.0000.4651.0000.4350.2010.0000.000
핵연료건전성(백분율)0.0701.0000.0000.0000.0000.8180.8440.8440.7810.4710.4351.0000.0000.0000.199
1차냉각재계통건전성(백분율)0.0001.0000.5620.0650.7250.3970.0000.4850.0000.2500.2010.0001.0000.7880.000
소내방사선선량0.6851.0000.7280.7760.4830.4590.0000.0000.0000.0000.0000.0000.7881.0000.000
소외방사선준위0.9001.0000.4620.0000.0450.5200.0000.0000.0000.3420.0000.1990.0000.0001.000
2024-03-15T04:21:59.947871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소외방사선준위안전계통신뢰도(보조급수계통)비계획원자로정지원자로비가동률(백분율)안전계통신뢰도(냉각수계통)안전계통신뢰도(안전주입계통)복잡한비계획원자로정지(회)비계획출력변동
소외방사선준위1.0000.0000.0000.0000.1170.0001.0000.328
안전계통신뢰도(보조급수계통)0.0001.0000.0000.0000.0000.3631.0000.615
비계획원자로정지0.0000.0001.0000.9750.6390.0001.0000.000
원자로비가동률(백분율)0.0000.0000.9751.0000.4970.0001.0000.000
안전계통신뢰도(냉각수계통)0.1170.0000.6390.4971.0000.0001.0000.168
안전계통신뢰도(안전주입계통)0.0000.3630.0000.0000.0001.0001.0000.000
복잡한비계획원자로정지(회)1.0001.0001.0001.0001.0001.0001.0001.000
비계획출력변동0.3280.6150.0000.0000.1680.0001.0001.000
2024-03-15T04:22:00.321853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호이용률(백분율)안전계통신뢰도(비상발전기계통)안전계통기기고장(회)핵연료건전성(백분율)1차냉각재계통건전성(백분율)소내방사선선량원자로비가동률(백분율)비계획원자로정지비계획출력변동복잡한비계획원자로정지(회)안전계통신뢰도(안전주입계통)안전계통신뢰도(보조급수계통)안전계통신뢰도(냉각수계통)소외방사선준위
번호1.0000.586-0.248-0.1310.230-0.209-0.5930.0000.0000.6391.0000.0000.2730.1290.579
이용률(백분율)0.5861.000-0.1880.0020.2630.192-0.7540.0000.0000.0001.0000.0000.2730.0000.293
안전계통신뢰도(비상발전기계통)-0.248-0.1881.0000.534-0.0110.1760.2270.4910.6350.5781.0000.6100.3580.5690.000
안전계통기기고장(회)-0.1310.0020.5341.0000.2570.152-0.0250.0000.0000.0001.0000.0000.0000.1650.000
핵연료건전성(백분율)0.2300.263-0.0110.2571.0000.358-0.3500.0000.0000.5781.0000.6100.8190.1840.025
1차냉각재계통건전성(백분율)-0.2090.1920.1760.1520.3581.000-0.0850.0000.3600.2381.0000.0000.0000.1220.000
소내방사선선량-0.593-0.7540.227-0.025-0.350-0.0851.0000.5840.1840.2821.0000.0000.0000.0000.000
원자로비가동률(백분율)0.0000.0000.4910.0000.0000.0000.5841.0000.9750.0001.0000.0000.0000.4970.000
비계획원자로정지0.0000.0000.6350.0000.0000.3600.1840.9751.0000.0001.0000.0000.0000.6390.000
비계획출력변동0.6390.0000.5780.0000.5780.2380.2820.0000.0001.0001.0000.0000.6150.1680.328
복잡한비계획원자로정지(회)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
안전계통신뢰도(안전주입계통)0.0000.0000.6100.0000.6100.0000.0000.0000.0000.0001.0001.0000.3630.0000.000
안전계통신뢰도(보조급수계통)0.2730.2730.3580.0000.8190.0000.0000.0000.0000.6151.0000.3631.0000.0000.000
안전계통신뢰도(냉각수계통)0.1290.0000.5690.1650.1840.1220.0000.4970.6390.1681.0000.0000.0001.0000.117
소외방사선준위0.5790.2930.0000.0000.0250.0000.0000.0000.0000.3281.0000.0000.0000.1171.000

Missing values

2024-03-15T04:21:45.008857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:21:45.678590image/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

번호호기이용률(백분율)원자로비가동률(백분율)비계획원자로정지비계획출력변동복잡한비계획원자로정지(회)안전계통신뢰도(안전주입계통)안전계통신뢰도(비상발전기계통)안전계통신뢰도(보조급수계통)안전계통신뢰도(잔열제거계통)안전계통신뢰도(냉각수계통)안전계통기기고장(회)핵연료건전성(백분율)1차냉각재계통건전성(백분율)격납건물건전성(백분율)비상대책(백분율)소내방사선선량소외방사선준위
01고리226.770.0<NA><NA><NA>0.00.00.000.030.00.0961000.0740.725
12고리367.871.710.0000.00.0020.000.070.0110.552961001.0010.725
23고리446.970.00.0000.00.00.000.040.0080.934961001.6690.725
34한울174.470.00.0100.00.0070.000.00140.01.956961000.6193.963
45한울266.880.00.0100.00.0010.000.030.010.677961000.5683.963
56한울378.520.00.0000.00.00.000.050.0020.4961000.2743.963
67한울470.013.611.16000.00.00.000.010.0020.7961000.2493.963
78한울584.960.00.0100.0010.0140.00100.070.1550.5961000.0363.963
89한울682.930.00.0000.00.0010.000.090.0010.6961000.2723.963
910월성286.510.00.0000.0010.00.000.030.00.321961000.3332.16
번호호기이용률(백분율)원자로비가동률(백분율)비계획원자로정지비계획출력변동복잡한비계획원자로정지(회)안전계통신뢰도(안전주입계통)안전계통신뢰도(비상발전기계통)안전계통신뢰도(보조급수계통)안전계통신뢰도(잔열제거계통)안전계통신뢰도(냉각수계통)안전계통기기고장(회)핵연료건전성(백분율)1차냉각재계통건전성(백분율)격납건물건전성(백분율)비상대책(백분율)소내방사선선량소외방사선준위
1516한빛4100.00.00.0100.00.0010.02600.00170.0180.7961000.0020.799
1617한빛515.950.0<NA><NA><NA>0.00.00.00100.030.0060.3961000.6020.799
1718한빛684.750.00.0000.00.00.000.040.0020.5961000.0160.799
1819신고리1100.00.00.0000.00.00.000.030.0140.4961000.0230.725
1920신고리2100.00.00.0000.00.00.000.030.0020.5961000.0050.725
2021신한울1100.00.00.0000.00.00.000.020.0112.115961000.0033.963
2122새울173.670.00.0000.00.00.000.050.0040.3961000.3360.725
2223새울299.080.00.0000.00.00.000.00160.010.3961000.0060.725
2324신월성184.870.00.0000.00.0020.000.040.0030.4961000.1222.16
2425신월성299.440.00.0000.00.00.000.010.0040.5961000.012.16