Overview

Dataset statistics

Number of variables18
Number of observations2181
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory338.8 KiB
Average record size in memory159.1 B

Variable types

Categorical11
DateTime1
Numeric6

Dataset

Description한국중부발전(주)의 서울발전소 대기상태 현황 정보이며, 목록명은 '발전소명', '처리일', '측정항목', '광투과백분율', '최대범위', '최소범위', '검정곡선기울기',' 램프강도', '챔버온도', '시료기체유량', '시료기체압력', '오프셋', '스팬기체의값', '제로기체의값', '교정계수', '램프전압', '챔버압력', '시료기체의온도'로 이루어져 있음
URLhttps://www.data.go.kr/data/15119114/fileData.do

Alerts

광투과백분율 has constant value ""Constant
최소범위 has constant value ""Constant
램프강도 has constant value ""Constant
오프셋 has constant value ""Constant
제로기체의값 has constant value ""Constant
교정계수 has constant value ""Constant
램프전압 has constant value ""Constant
측정항목 is highly overall correlated with 챔버온도 and 7 other fieldsHigh correlation
검정곡선기울기 is highly overall correlated with 챔버온도 and 7 other fieldsHigh correlation
최대범위 is highly overall correlated with 챔버온도 and 7 other fieldsHigh correlation
챔버온도 is highly overall correlated with 시료기체유량 and 7 other fieldsHigh correlation
시료기체유량 is highly overall correlated with 챔버온도 and 7 other fieldsHigh correlation
시료기체압력 is highly overall correlated with 챔버온도 and 7 other fieldsHigh correlation
스팬기체의값 is highly overall correlated with 챔버온도 and 7 other fieldsHigh correlation
챔버압력 is highly overall correlated with 챔버온도 and 7 other fieldsHigh correlation
시료기체의온도 is highly overall correlated with 챔버온도 and 7 other fieldsHigh correlation
챔버온도 has 1454 (66.7%) zerosZeros
시료기체유량 has 1454 (66.7%) zerosZeros
시료기체압력 has 1454 (66.7%) zerosZeros
스팬기체의값 has 1454 (66.7%) zerosZeros
챔버압력 has 1454 (66.7%) zerosZeros
시료기체의온도 has 1454 (66.7%) zerosZeros

Reproduction

Analysis started2023-12-12 07:25:53.661779
Analysis finished2023-12-12 07:25:58.822585
Duration5.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발전소명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
GT1
1092 
GT2
1089 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGT1
2nd rowGT1
3rd rowGT1
4th rowGT2
5th rowGT2

Common Values

ValueCountFrequency (%)
GT1 1092
50.1%
GT2 1089
49.9%

Length

2023-12-12T16:25:58.907988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:25:59.054726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
gt1 1092
50.1%
gt2 1089
49.9%

처리일
Date

Distinct365
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T16:25:59.168746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:59.338536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

측정항목
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
NOX
727 
O2b
727 
FLW
727 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNOX
2nd rowO2b
3rd rowFLW
4th rowNOX
5th rowO2b

Common Values

ValueCountFrequency (%)
NOX 727
33.3%
O2b 727
33.3%
FLW 727
33.3%

Length

2023-12-12T16:25:59.487589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:25:59.610051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
nox 727
33.3%
o2b 727
33.3%
flw 727
33.3%

광투과백분율
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
0
2181 

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 2181
100.0%

Length

2023-12-12T16:25:59.722463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:25:59.829165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2181
100.0%

최대범위
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
100
727 
25
727 
20
703 
0
 
24

Length

Max length3
Median length2
Mean length2.3223292
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row25
3rd row20
4th row100
5th row25

Common Values

ValueCountFrequency (%)
100 727
33.3%
25 727
33.3%
20 703
32.2%
0 24
 
1.1%

Length

2023-12-12T16:25:59.990213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:26:00.159768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 727
33.3%
25 727
33.3%
20 703
32.2%
0 24
 
1.1%

최소범위
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
0
2181 

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 2181
100.0%

Length

2023-12-12T16:26:00.300393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:26:00.415811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2181
100.0%

검정곡선기울기
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
0
1454 
5
727 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row0
3rd row0
4th row5
5th row0

Common Values

ValueCountFrequency (%)
0 1454
66.7%
5 727
33.3%

Length

2023-12-12T16:26:00.538981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:26:00.660150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1454
66.7%
5 727
33.3%

램프강도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
0
2181 

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 2181
100.0%

Length

2023-12-12T16:26:00.787947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:26:00.897641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2181
100.0%

챔버온도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.183393
Minimum0
Maximum59.57
Zeros1454
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T16:26:01.008091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q351.5
95-th percentile51.5
Maximum59.57
Range59.57
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation24.307898
Coefficient of variation (CV)1.4146157
Kurtosis-1.4995546
Mean17.183393
Median Absolute Deviation (MAD)0
Skewness0.70796768
Sum37476.98
Variance590.87389
MonotonicityNot monotonic
2023-12-12T16:26:01.147249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.0 1454
66.7%
51.5 599
27.5%
51.49 109
 
5.0%
51.51 3
 
0.1%
52.85 1
 
< 0.1%
51.48 1
 
< 0.1%
59.57 1
 
< 0.1%
53.81 1
 
< 0.1%
53.74 1
 
< 0.1%
53.05 1
 
< 0.1%
Other values (10) 10
 
0.5%
ValueCountFrequency (%)
0.0 1454
66.7%
51.48 1
 
< 0.1%
51.49 109
 
5.0%
51.5 599
27.5%
51.51 3
 
0.1%
52.09 1
 
< 0.1%
52.15 1
 
< 0.1%
52.64 1
 
< 0.1%
52.8 1
 
< 0.1%
52.85 1
 
< 0.1%
ValueCountFrequency (%)
59.57 1
< 0.1%
55.83 1
< 0.1%
54.8 1
< 0.1%
54.78 1
< 0.1%
54.74 1
< 0.1%
54.01 1
< 0.1%
53.81 1
< 0.1%
53.74 1
< 0.1%
53.2 1
< 0.1%
53.05 1
< 0.1%

시료기체유량
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct66
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22714351
Minimum0
Maximum1.13
Zeros1454
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T16:26:01.311807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.58
95-th percentile0.83
Maximum1.13
Range1.13
Interquartile range (IQR)0.58

Descriptive statistics

Standard deviation0.33756556
Coefficient of variation (CV)1.4861334
Kurtosis-0.91003063
Mean0.22714351
Median Absolute Deviation (MAD)0
Skewness0.94404097
Sum495.4
Variance0.11395051
MonotonicityNot monotonic
2023-12-12T16:26:01.507246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1454
66.7%
0.77 51
 
2.3%
0.81 35
 
1.6%
0.76 33
 
1.5%
0.8 32
 
1.5%
0.67 31
 
1.4%
0.82 30
 
1.4%
0.57 29
 
1.3%
0.78 29
 
1.3%
0.28 24
 
1.1%
Other values (56) 433
 
19.9%
ValueCountFrequency (%)
0.0 1454
66.7%
0.25 2
 
0.1%
0.26 5
 
0.2%
0.27 4
 
0.2%
0.28 24
 
1.1%
0.29 9
 
0.4%
0.3 4
 
0.2%
0.31 9
 
0.4%
0.32 8
 
0.4%
0.33 6
 
0.3%
ValueCountFrequency (%)
1.13 2
 
0.1%
1.12 1
 
< 0.1%
1.06 1
 
< 0.1%
1.02 1
 
< 0.1%
0.96 1
 
< 0.1%
0.95 1
 
< 0.1%
0.94 1
 
< 0.1%
0.93 6
0.3%
0.92 5
0.2%
0.91 6
0.3%

시료기체압력
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct290
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.393796
Minimum0
Maximum210.75
Zeros1454
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T16:26:01.692333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3207.88
95-th percentile209.58
Maximum210.75
Range210.75
Interquartile range (IQR)207.88

Descriptive statistics

Standard deviation98.169901
Coefficient of variation (CV)1.4146783
Kurtosis-1.4989793
Mean69.393796
Median Absolute Deviation (MAD)0
Skewness0.70821102
Sum151347.87
Variance9637.3294
MonotonicityNot monotonic
2023-12-12T16:26:01.842871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1454
66.7%
209.47 21
 
1.0%
208.66 18
 
0.8%
209.27 15
 
0.7%
209.39999 15
 
0.7%
209.52 13
 
0.6%
208.59 12
 
0.6%
209.33 12
 
0.6%
207.98 9
 
0.4%
209.28 9
 
0.4%
Other values (280) 603
27.6%
ValueCountFrequency (%)
0.0 1454
66.7%
198.08 1
 
< 0.1%
198.22 1
 
< 0.1%
198.28999 1
 
< 0.1%
198.35001 1
 
< 0.1%
198.44 1
 
< 0.1%
198.47 1
 
< 0.1%
198.5 3
 
0.1%
198.50999 1
 
< 0.1%
198.52 1
 
< 0.1%
ValueCountFrequency (%)
210.75 1
< 0.1%
210.67999 1
< 0.1%
210.61 2
0.1%
210.58 1
< 0.1%
210.56 1
< 0.1%
210.5 2
0.1%
210.49001 1
< 0.1%
210.48 1
< 0.1%
210.42999 1
< 0.1%
210.42 1
< 0.1%

오프셋
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
0
2181 

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 2181
100.0%

Length

2023-12-12T16:26:01.979293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:26:02.097681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2181
100.0%

스팬기체의값
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.719395
Minimum0
Maximum100
Zeros1454
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T16:26:02.199145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q379
95-th percentile80.9
Maximum100
Range100
Interquartile range (IQR)79

Descriptive statistics

Standard deviation37.808054
Coefficient of variation (CV)1.4150041
Kurtosis-1.4931197
Mean26.719395
Median Absolute Deviation (MAD)0
Skewness0.70995379
Sum58275
Variance1429.4489
MonotonicityNot monotonic
2023-12-12T16:26:02.315748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 1454
66.7%
80.9 253
 
11.6%
80.0 136
 
6.2%
78.9 107
 
4.9%
79.0 107
 
4.9%
80.5 92
 
4.2%
79.5 28
 
1.3%
100.0 4
 
0.2%
ValueCountFrequency (%)
0.0 1454
66.7%
78.9 107
 
4.9%
79.0 107
 
4.9%
79.5 28
 
1.3%
80.0 136
 
6.2%
80.5 92
 
4.2%
80.9 253
 
11.6%
100.0 4
 
0.2%
ValueCountFrequency (%)
100.0 4
 
0.2%
80.9 253
 
11.6%
80.5 92
 
4.2%
80.0 136
 
6.2%
79.5 28
 
1.3%
79.0 107
 
4.9%
78.9 107
 
4.9%
0.0 1454
66.7%

제로기체의값
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
0
2181 

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 2181
100.0%

Length

2023-12-12T16:26:02.485850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:26:02.588334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2181
100.0%

교정계수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
0
2181 

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 2181
100.0%

Length

2023-12-12T16:26:02.707018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:26:02.823780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2181
100.0%

램프전압
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
0
2181 

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 2181
100.0%

Length

2023-12-12T16:26:02.920883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:26:03.012435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2181
100.0%

챔버압력
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct291
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.408767
Minimum0
Maximum240.77
Zeros1454
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T16:26:03.121450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3207.88
95-th percentile209.59
Maximum240.77
Range240.77
Interquartile range (IQR)207.88

Descriptive statistics

Standard deviation98.193552
Coefficient of variation (CV)1.414714
Kurtosis-1.4984265
Mean69.408767
Median Absolute Deviation (MAD)0
Skewness0.70838778
Sum151380.52
Variance9641.9736
MonotonicityNot monotonic
2023-12-12T16:26:03.314746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1454
66.7%
209.47 21
 
1.0%
208.66 18
 
0.8%
209.39999 15
 
0.7%
209.27 15
 
0.7%
209.52 13
 
0.6%
208.59 12
 
0.6%
209.33 12
 
0.6%
209.28 9
 
0.4%
207.98 9
 
0.4%
Other values (281) 603
27.6%
ValueCountFrequency (%)
0.0 1454
66.7%
198.08 1
 
< 0.1%
198.22 1
 
< 0.1%
198.28999 1
 
< 0.1%
198.35001 1
 
< 0.1%
198.44 1
 
< 0.1%
198.47 1
 
< 0.1%
198.5 3
 
0.1%
198.50999 1
 
< 0.1%
198.52 1
 
< 0.1%
ValueCountFrequency (%)
240.77 1
< 0.1%
210.75 1
< 0.1%
210.67999 1
< 0.1%
210.61 2
0.1%
210.58 1
< 0.1%
210.56 1
< 0.1%
210.5 2
0.1%
210.49001 1
< 0.1%
210.48 1
< 0.1%
210.42999 1
< 0.1%

시료기체의온도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.179688
Minimum0
Maximum55.83
Zeros1454
Zeros (%)66.7%
Negative0
Negative (%)0.0%
Memory size19.3 KiB
2023-12-12T16:26:03.432207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q351.5
95-th percentile51.5
Maximum55.83
Range55.83
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation24.30205
Coefficient of variation (CV)1.4145804
Kurtosis-1.5001036
Mean17.179688
Median Absolute Deviation (MAD)0
Skewness0.70779218
Sum37468.9
Variance590.58962
MonotonicityNot monotonic
2023-12-12T16:26:03.539844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 1454
66.7%
51.5 599
27.5%
51.49 110
 
5.0%
51.51 3
 
0.1%
54.01 1
 
< 0.1%
51.48 1
 
< 0.1%
53.81 1
 
< 0.1%
53.74 1
 
< 0.1%
53.05 1
 
< 0.1%
52.09 1
 
< 0.1%
Other values (9) 9
 
0.4%
ValueCountFrequency (%)
0.0 1454
66.7%
51.48 1
 
< 0.1%
51.49 110
 
5.0%
51.5 599
27.5%
51.51 3
 
0.1%
52.09 1
 
< 0.1%
52.15 1
 
< 0.1%
52.64 1
 
< 0.1%
52.8 1
 
< 0.1%
52.85 1
 
< 0.1%
ValueCountFrequency (%)
55.83 1
< 0.1%
54.8 1
< 0.1%
54.78 1
< 0.1%
54.74 1
< 0.1%
54.01 1
< 0.1%
53.81 1
< 0.1%
53.74 1
< 0.1%
53.2 1
< 0.1%
53.05 1
< 0.1%
52.85 1
< 0.1%

Interactions

2023-12-12T16:25:57.589274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:54.392099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:55.037306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:55.679943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:56.304064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:56.943222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:57.680019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:54.484279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:55.193758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:55.790139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:56.420309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:57.052523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:58.034509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:54.580309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:55.308363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:55.882986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:56.559119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:57.151558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:58.114422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:54.684485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:55.405749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:56.002460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:56.657204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:57.265105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:58.209104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:54.801402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:55.494894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:56.128923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:56.754049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:57.379718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:58.313384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:54.926384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:55.580381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:56.223030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:56.838642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:25:57.495097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:26:03.644681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발전소명측정항목최대범위검정곡선기울기챔버온도시료기체유량시료기체압력스팬기체의값챔버압력시료기체의온도
발전소명1.0000.0000.0000.0000.0320.3240.0000.3880.0000.000
측정항목0.0001.0001.0001.0000.9430.9371.0000.6760.9431.000
최대범위0.0001.0001.0001.0000.6760.7351.0000.8950.6761.000
검정곡선기울기0.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
챔버온도0.0320.9430.6761.0001.0000.9381.0000.6780.9581.000
시료기체유량0.3240.9370.7351.0000.9381.0001.0000.8170.9381.000
시료기체압력0.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
스팬기체의값0.3880.6760.8951.0000.6780.8171.0001.0000.6761.000
챔버압력0.0000.9430.6761.0000.9580.9381.0000.6761.0001.000
시료기체의온도0.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T16:26:03.788378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발전소명측정항목검정곡선기울기최대범위
발전소명1.0000.0000.0000.000
측정항목0.0001.0001.0001.000
검정곡선기울기0.0001.0001.0001.000
최대범위0.0001.0001.0001.000
2023-12-12T16:26:03.907254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
챔버온도시료기체유량시료기체압력스팬기체의값챔버압력시료기체의온도발전소명측정항목최대범위검정곡선기울기
챔버온도1.0000.9610.9630.9620.9641.0000.0530.7070.7061.000
시료기체유량0.9611.0000.9760.9340.9760.9610.3240.7050.5750.998
시료기체압력0.9630.9761.0000.9381.0000.9640.0001.0001.0000.999
스팬기체의값0.9620.9340.9381.0000.9390.9620.2600.7060.5771.000
챔버압력0.9640.9761.0000.9391.0000.9630.0000.7070.7061.000
시료기체의온도1.0000.9610.9640.9620.9631.0000.0001.0001.0000.999
발전소명0.0530.3240.0000.2600.0000.0001.0000.0000.0000.000
측정항목0.7070.7051.0000.7060.7071.0000.0001.0001.0001.000
최대범위0.7060.5751.0000.5770.7061.0000.0001.0001.0001.000
검정곡선기울기1.0000.9980.9991.0001.0000.9990.0001.0001.0001.000

Missing values

2023-12-12T16:25:58.478010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:25:58.698610image/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

발전소명처리일측정항목광투과백분율최대범위최소범위검정곡선기울기램프강도챔버온도시료기체유량시료기체압력오프셋스팬기체의값제로기체의값교정계수램프전압챔버압력시료기체의온도
0GT12022-01-01NOX010005051.490.77209.36078.9000209.3651.49
1GT12022-01-01O2b0250000.00.00.000.00000.00.0
2GT12022-01-01FLW0200000.00.00.000.00000.00.0
3GT22022-01-01NOX010005051.50.75209.13079.0000209.1351.5
4GT22022-01-01O2b0250000.00.00.000.00000.00.0
5GT22022-01-01FLW0200000.00.00.000.00000.00.0
6GT12022-01-02NOX010005051.50.75209.42999078.9000209.4299951.5
7GT12022-01-02O2b0250000.00.00.000.00000.00.0
8GT12022-01-02FLW0200000.00.00.000.00000.00.0
9GT22022-01-02NOX010005051.50.74209.17999079.0000209.1799951.5
발전소명처리일측정항목광투과백분율최대범위최소범위검정곡선기울기램프강도챔버온도시료기체유량시료기체압력오프셋스팬기체의값제로기체의값교정계수램프전압챔버압력시료기체의온도
2171GT12022-12-30FLW0200000.00.00.000.00000.00.0
2172GT22022-12-30NOX010005051.50.81209.66080.5000209.6651.5
2173GT22022-12-30O2b0250000.00.00.000.00000.00.0
2174GT22022-12-30FLW0200000.00.00.000.00000.00.0
2175GT12022-12-31NOX010005051.490.62200.649990100.0000200.6499951.49
2176GT12022-12-31O2b0250000.00.00.000.00000.00.0
2177GT12022-12-31FLW0200000.00.00.000.00000.00.0
2178GT22022-12-31NOX010005051.50.81209.47080.5000209.4751.5
2179GT22022-12-31O2b0250000.00.00.000.00000.00.0
2180GT22022-12-31FLW0200000.00.00.000.00000.00.0