Overview

Dataset statistics

Number of variables18
Number of observations3375
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory524.2 KiB
Average record size in memory159.0 B

Variable types

Categorical9
DateTime1
Numeric8

Dataset

Description한국중부발전(주)의 보령발전소 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/15119110/fileData.do

Alerts

최소범위 has constant value ""Constant
시료기체압력 has constant value ""Constant
오프셋 has constant value ""Constant
교정계수 has constant value ""Constant
챔버압력 has constant value ""Constant
시료기체의온도 has constant value ""Constant
광투과백분율 is highly overall correlated with 챔버온도 and 1 other fieldsHigh correlation
검정곡선기울기 is highly overall correlated with 램프강도 and 4 other fieldsHigh correlation
램프강도 is highly overall correlated with 검정곡선기울기 and 3 other fieldsHigh correlation
챔버온도 is highly overall correlated with 광투과백분율 and 3 other fieldsHigh correlation
시료기체유량 is highly overall correlated with 광투과백분율 and 5 other fieldsHigh correlation
스팬기체의값 is highly overall correlated with 제로기체의값 and 2 other fieldsHigh correlation
제로기체의값 is highly overall correlated with 검정곡선기울기 and 3 other fieldsHigh correlation
램프전압 is highly overall correlated with 램프강도High correlation
측정항목 is highly overall correlated with 검정곡선기울기 and 5 other fieldsHigh correlation
최대범위 is highly overall correlated with 검정곡선기울기 and 4 other fieldsHigh correlation
광투과백분율 has 2700 (80.0%) zerosZeros
검정곡선기울기 has 2029 (60.1%) zerosZeros
램프강도 has 2029 (60.1%) zerosZeros
챔버온도 has 1354 (40.1%) zerosZeros
시료기체유량 has 1354 (40.1%) zerosZeros
스팬기체의값 has 2012 (59.6%) zerosZeros
제로기체의값 has 2745 (81.3%) zerosZeros
램프전압 has 3083 (91.3%) zerosZeros

Reproduction

Analysis started2023-12-12 22:54:55.556976
Analysis finished2023-12-12 22:55:04.000137
Duration8.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발전소명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.5 KiB
7호기
1690 
8호기
1685 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7호기
2nd row7호기
3rd row7호기
4th row7호기
5th row7호기

Common Values

ValueCountFrequency (%)
7호기 1690
50.1%
8호기 1685
49.9%

Length

2023-12-13T07:55:04.060896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:55:04.164133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7호기 1690
50.1%
8호기 1685
49.9%
Distinct338
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size26.5 KiB
Minimum2017-03-24 00:00:00
Maximum2018-02-28 00:00:00
2023-12-13T07:55:04.271775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:04.413910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

측정항목
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size26.5 KiB
O2b
675 
NOX
675 
TSP
675 
SO2
675 
FLW
381 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowO2b
2nd rowNOX
3rd rowTSP
4th rowSO2
5th rowFL1

Common Values

ValueCountFrequency (%)
O2b 675
20.0%
NOX 675
20.0%
TSP 675
20.0%
SO2 675
20.0%
FLW 381
11.3%
FL1 294
8.7%

Length

2023-12-13T07:55:04.546564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:55:04.672546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o2b 675
20.0%
nox 675
20.0%
tsp 675
20.0%
so2 675
20.0%
flw 381
11.3%
fl1 294
8.7%

광투과백분율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct389
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.631013
Minimum0
Maximum61.21
Zeros2700
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size29.8 KiB
2023-12-13T07:55:04.832932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile59.72
Maximum61.21
Range61.21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.281779
Coefficient of variation (CV)2.0016982
Kurtosis0.27440051
Mean11.631013
Median Absolute Deviation (MAD)0
Skewness1.5056071
Sum39254.67
Variance542.04123
MonotonicityNot monotonic
2023-12-13T07:55:04.985721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2700
80.0%
59.73 8
 
0.2%
56.7 7
 
0.2%
60.27 6
 
0.2%
60.2 6
 
0.2%
58.47 5
 
0.1%
59.3 5
 
0.1%
57.47 5
 
0.1%
60.0 5
 
0.1%
60.05 5
 
0.1%
Other values (379) 623
 
18.5%
ValueCountFrequency (%)
0.0 2700
80.0%
38.16 1
 
< 0.1%
45.87 1
 
< 0.1%
48.46 1
 
< 0.1%
48.51 1
 
< 0.1%
50.64 1
 
< 0.1%
51.35 1
 
< 0.1%
53.48 1
 
< 0.1%
53.52 1
 
< 0.1%
53.56 1
 
< 0.1%
ValueCountFrequency (%)
61.21 1
< 0.1%
60.62 1
< 0.1%
60.58 1
< 0.1%
60.54 1
< 0.1%
60.49 1
< 0.1%
60.48 2
0.1%
60.46 1
< 0.1%
60.44 1
< 0.1%
60.42 1
< 0.1%
60.41 1
< 0.1%

최대범위
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.5 KiB
200
1346 
25
675 
100
675 
40
675 
0
 
4

Length

Max length3
Median length3
Mean length2.5976296
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row25
2nd row0
3rd row100
4th row0
5th row40

Common Values

ValueCountFrequency (%)
200 1346
39.9%
25 675
20.0%
100 675
20.0%
40 675
20.0%
0 4
 
0.1%

Length

2023-12-13T07:55:05.127239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:55:05.247348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200 1346
39.9%
25 675
20.0%
100 675
20.0%
40 675
20.0%
0 4
 
0.1%

최소범위
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.5 KiB
0
3375 

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 3375
100.0%

Length

2023-12-13T07:55:05.384352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:55:05.503413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3375
100.0%

검정곡선기울기
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41508444
Minimum0
Maximum1.09
Zeros2029
Zeros (%)60.1%
Negative0
Negative (%)0.0%
Memory size29.8 KiB
2023-12-13T07:55:05.604973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.03
95-th percentile1.07
Maximum1.09
Range1.09
Interquartile range (IQR)1.03

Descriptive statistics

Standard deviation0.50995035
Coefficient of variation (CV)1.228546
Kurtosis-1.8235623
Mean0.41508444
Median Absolute Deviation (MAD)0
Skewness0.41644088
Sum1400.91
Variance0.26004936
MonotonicityNot monotonic
2023-12-13T07:55:05.737960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 2029
60.1%
1.03 351
 
10.4%
1.06 240
 
7.1%
1.02 207
 
6.1%
1.01 199
 
5.9%
1.09 101
 
3.0%
1.07 87
 
2.6%
1.04 61
 
1.8%
1.08 61
 
1.8%
1.05 27
 
0.8%
ValueCountFrequency (%)
0.0 2029
60.1%
1.0 12
 
0.4%
1.01 199
 
5.9%
1.02 207
 
6.1%
1.03 351
 
10.4%
1.04 61
 
1.8%
1.05 27
 
0.8%
1.06 240
 
7.1%
1.07 87
 
2.6%
1.08 61
 
1.8%
ValueCountFrequency (%)
1.09 101
 
3.0%
1.08 61
 
1.8%
1.07 87
 
2.6%
1.06 240
7.1%
1.05 27
 
0.8%
1.04 61
 
1.8%
1.03 351
10.4%
1.02 207
6.1%
1.01 199
5.9%
1.0 12
 
0.4%

램프강도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct69
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.10667
Minimum0
Maximum500
Zeros2029
Zeros (%)60.1%
Negative0
Negative (%)0.0%
Memory size29.8 KiB
2023-12-13T07:55:05.873083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3359
95-th percentile500
Maximum500
Range500
Interquartile range (IQR)359

Descriptive statistics

Standard deviation200.60786
Coefficient of variation (CV)1.2850691
Kurtosis-1.3322481
Mean156.10667
Median Absolute Deviation (MAD)0
Skewness0.65399638
Sum526860
Variance40243.512
MonotonicityNot monotonic
2023-12-13T07:55:06.009148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2029
60.1%
500 292
 
8.7%
496 50
 
1.5%
296 44
 
1.3%
359 40
 
1.2%
271 36
 
1.1%
478 36
 
1.1%
290 34
 
1.0%
346 34
 
1.0%
321 32
 
0.9%
Other values (59) 748
 
22.2%
ValueCountFrequency (%)
0 2029
60.1%
190 8
 
0.2%
196 12
 
0.4%
209 10
 
0.3%
212 2
 
0.1%
221 16
 
0.5%
228 16
 
0.5%
237 4
 
0.1%
240 18
 
0.5%
243 6
 
0.2%
ValueCountFrequency (%)
500 292
8.7%
496 50
 
1.5%
493 4
 
0.1%
490 32
 
0.9%
487 6
 
0.2%
478 36
 
1.1%
475 8
 
0.2%
471 30
 
0.9%
462 6
 
0.2%
459 20
 
0.6%

챔버온도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct71
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289.01714
Minimum0
Maximum800.04999
Zeros1354
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size29.8 KiB
2023-12-13T07:55:06.162462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median323
Q3325.01001
95-th percentile800.01001
Maximum800.04999
Range800.04999
Interquartile range (IQR)325.01001

Descriptive statistics

Standard deviation293.65319
Coefficient of variation (CV)1.0160407
Kurtosis-0.78790645
Mean289.01714
Median Absolute Deviation (MAD)323
Skewness0.67253097
Sum975432.85
Variance86232.194
MonotonicityNot monotonic
2023-12-13T07:55:06.325104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1354
40.1%
800.0 204
 
6.0%
323.01001 185
 
5.5%
323.03 149
 
4.4%
799.98999 139
 
4.1%
323.01999 138
 
4.1%
800.01001 135
 
4.0%
323.0 107
 
3.2%
322.98999 98
 
2.9%
323.04001 85
 
2.5%
Other values (61) 781
23.1%
ValueCountFrequency (%)
0.0 1354
40.1%
322.54999 2
 
0.1%
322.67999 2
 
0.1%
322.82001 6
 
0.2%
322.95001 2
 
0.1%
322.95999 30
 
0.9%
322.97 44
 
1.3%
322.98001 84
 
2.5%
322.98999 98
 
2.9%
323.0 107
 
3.2%
ValueCountFrequency (%)
800.04999 1
 
< 0.1%
800.03998 6
 
0.2%
800.03003 34
 
1.0%
800.02002 59
 
1.7%
800.01001 135
4.0%
800.0 204
6.0%
799.98999 139
4.1%
799.97998 61
 
1.8%
799.96997 33
 
1.0%
799.96002 3
 
0.1%

시료기체유량
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1087
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean407.50266
Minimum0
Maximum1023.44
Zeros1354
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size29.8 KiB
2023-12-13T07:55:06.770039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median41.07
Q3998.93002
95-th percentile1014.726
Maximum1023.44
Range1023.44
Interquartile range (IQR)998.93002

Descriptive statistics

Standard deviation484.25617
Coefficient of variation (CV)1.1883509
Kurtosis-1.8274293
Mean407.50266
Median Absolute Deviation (MAD)41.07
Skewness0.41122754
Sum1375321.5
Variance234504.04
MonotonicityNot monotonic
2023-12-13T07:55:06.907390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1354
40.1%
41.32 7
 
0.2%
40.3 7
 
0.2%
988.73999 6
 
0.2%
41.6 6
 
0.2%
1004.51001 6
 
0.2%
994.15002 6
 
0.2%
1016.04999 6
 
0.2%
1019.46997 6
 
0.2%
1003.53998 6
 
0.2%
Other values (1077) 1965
58.2%
ValueCountFrequency (%)
0.0 1354
40.1%
27.75 1
 
< 0.1%
27.8 1
 
< 0.1%
27.98 1
 
< 0.1%
28.03 1
 
< 0.1%
28.28 1
 
< 0.1%
28.43 1
 
< 0.1%
28.63 1
 
< 0.1%
28.87 1
 
< 0.1%
29.02 1
 
< 0.1%
ValueCountFrequency (%)
1023.44 2
0.1%
1022.88 1
 
< 0.1%
1022.84003 1
 
< 0.1%
1022.54999 3
0.1%
1022.52002 1
 
< 0.1%
1022.34003 2
0.1%
1021.26001 2
0.1%
1021.23999 2
0.1%
1021.06 2
0.1%
1020.85999 2
0.1%

시료기체압력
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.5 KiB
0
3375 

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 3375
100.0%

Length

2023-12-13T07:55:07.020689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:55:07.106932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3375
100.0%

오프셋
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.5 KiB
0
3375 

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 3375
100.0%

Length

2023-12-13T07:55:07.208453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:55:07.297047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3375
100.0%

스팬기체의값
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.84947
Minimum0
Maximum142.3
Zeros2012
Zeros (%)59.6%
Negative0
Negative (%)0.0%
Memory size29.8 KiB
2023-12-13T07:55:07.379390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q370.02
95-th percentile140.53
Maximum142.3
Range142.3
Interquartile range (IQR)70.02

Descriptive statistics

Standard deviation56.732844
Coefficient of variation (CV)1.3240034
Kurtosis-0.9590144
Mean42.84947
Median Absolute Deviation (MAD)0
Skewness0.82723372
Sum144616.96
Variance3218.6156
MonotonicityNot monotonic
2023-12-13T07:55:07.469847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 2012
59.6%
140.53 550
 
16.3%
142.3 144
 
4.3%
69.99 141
 
4.2%
70.01 127
 
3.8%
70.02 118
 
3.5%
70.0 99
 
2.9%
70.03 78
 
2.3%
70.04 30
 
0.9%
69.98 26
 
0.8%
Other values (4) 50
 
1.5%
ValueCountFrequency (%)
0.0 2012
59.6%
69.95 2
 
0.1%
69.96 16
 
0.5%
69.97 23
 
0.7%
69.98 26
 
0.8%
69.99 141
 
4.2%
70.0 99
 
2.9%
70.01 127
 
3.8%
70.02 118
 
3.5%
70.03 78
 
2.3%
ValueCountFrequency (%)
142.3 144
 
4.3%
140.53 550
16.3%
70.05 9
 
0.3%
70.04 30
 
0.9%
70.03 78
 
2.3%
70.02 118
 
3.5%
70.01 127
 
3.8%
70.0 99
 
2.9%
69.99 141
 
4.2%
69.98 26
 
0.8%

제로기체의값
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.055102222
Minimum-0.01
Maximum0.52
Zeros2745
Zeros (%)81.3%
Negative3
Negative (%)0.1%
Memory size29.8 KiB
2023-12-13T07:55:07.578363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-0.01
5-th percentile0
Q10
median0
Q30
95-th percentile0.52
Maximum0.52
Range0.53
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.14350278
Coefficient of variation (CV)2.6043011
Kurtosis6.0152754
Mean0.055102222
Median Absolute Deviation (MAD)0
Skewness2.7389475
Sum185.97
Variance0.020593047
MonotonicityNot monotonic
2023-12-13T07:55:07.671746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 2745
81.3%
0.52 275
 
8.1%
0.13 275
 
8.1%
0.1 72
 
2.1%
0.01 5
 
0.1%
-0.01 3
 
0.1%
ValueCountFrequency (%)
-0.01 3
 
0.1%
0.0 2745
81.3%
0.01 5
 
0.1%
0.1 72
 
2.1%
0.13 275
 
8.1%
0.52 275
 
8.1%
ValueCountFrequency (%)
0.52 275
 
8.1%
0.13 275
 
8.1%
0.1 72
 
2.1%
0.01 5
 
0.1%
0.0 2745
81.3%
-0.01 3
 
0.1%

교정계수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.5 KiB
0
3375 

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 3375
100.0%

Length

2023-12-13T07:55:07.783489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:55:07.873642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3375
100.0%

램프전압
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.592
Minimum0
Maximum51
Zeros3083
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size29.8 KiB
2023-12-13T07:55:07.957681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30
Maximum51
Range51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.4322088
Coefficient of variation (CV)3.6389695
Kurtosis13.507107
Mean2.592
Median Absolute Deviation (MAD)0
Skewness3.7936481
Sum8748
Variance88.966563
MonotonicityNot monotonic
2023-12-13T07:55:08.068692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 3083
91.3%
44 46
 
1.4%
37 44
 
1.3%
16 42
 
1.2%
30 38
 
1.1%
51 32
 
0.9%
9 26
 
0.8%
23 18
 
0.5%
3 14
 
0.4%
27 8
 
0.2%
Other values (5) 24
 
0.7%
ValueCountFrequency (%)
0 3083
91.3%
3 14
 
0.4%
9 26
 
0.8%
13 6
 
0.2%
16 42
 
1.2%
20 4
 
0.1%
23 18
 
0.5%
27 8
 
0.2%
30 38
 
1.1%
34 4
 
0.1%
ValueCountFrequency (%)
51 32
0.9%
48 6
 
0.2%
44 46
1.4%
41 4
 
0.1%
37 44
1.3%
34 4
 
0.1%
30 38
1.1%
27 8
 
0.2%
23 18
 
0.5%
20 4
 
0.1%

챔버압력
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.5 KiB
0
3375 

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 3375
100.0%

Length

2023-12-13T07:55:08.184503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:55:08.275946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3375
100.0%

시료기체의온도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.5 KiB
0
3375 

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 3375
100.0%

Length

2023-12-13T07:55:08.370578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:55:08.468725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3375
100.0%

Interactions

2023-12-13T07:55:02.831320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:56.601595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:57.458823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:58.384903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:59.158331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:00.025017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:01.094290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:02.000301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:02.920691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:56.706222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:57.595426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:58.503633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:59.250224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:00.140088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:01.209935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:02.090469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:03.001606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:56.820772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:57.698238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:58.592341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:59.351017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:00.245756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:01.313551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:02.197205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:03.082343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:56.933589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:57.819960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:58.678679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:59.465978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:00.331601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:01.473126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:02.293663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:03.182470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:57.051799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:57.945934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:58.776161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:59.580025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:00.434758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:01.574811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:02.396728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:03.264419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:57.141557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:58.039082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:58.869596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:59.674554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:00.517604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:01.684572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:02.513339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:03.366321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:57.246716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:58.162289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:58.961583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:59.802604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:00.613673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:01.801054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:02.628287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:03.518445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:57.358955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:58.261582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:59.054034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:59.910261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:01.007415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:01.908824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:02.723178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:55:08.538752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발전소명측정항목광투과백분율최대범위검정곡선기울기램프강도챔버온도시료기체유량스팬기체의값제로기체의값램프전압
발전소명1.0000.0000.0530.0000.0000.3820.0000.0000.1860.2290.386
측정항목0.0001.0000.6390.9131.0000.6611.0001.0000.9780.8620.288
광투과백분율0.0530.6391.0000.8590.3330.3140.4960.3330.7150.2140.130
최대범위0.0000.9130.8591.0001.0000.6741.0001.0000.7980.4780.399
검정곡선기울기0.0001.0000.3331.0001.0001.0001.0001.0000.4330.3670.474
램프강도0.3820.6610.3140.6741.0001.0000.7881.0000.6480.6010.507
챔버온도0.0001.0000.4961.0001.0000.7881.0001.0000.8800.7540.391
시료기체유량0.0001.0000.3331.0001.0001.0001.0001.0000.4330.3670.474
스팬기체의값0.1860.9780.7150.7980.4330.6480.8800.4331.0000.9230.445
제로기체의값0.2290.8620.2140.4780.3670.6010.7540.3670.9231.0000.308
램프전압0.3860.2880.1300.3990.4740.5070.3910.4740.4450.3081.000
2023-12-13T07:55:08.677160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
최대범위측정항목발전소명
최대범위1.0000.8660.000
측정항목0.8661.0000.000
발전소명0.0000.0001.000
2023-12-13T07:55:08.777925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
광투과백분율검정곡선기울기램프강도챔버온도시료기체유량스팬기체의값제로기체의값램프전압발전소명측정항목최대범위
광투과백분율1.000-0.388-0.387-0.532-0.5320.370-0.231-0.1520.0650.4990.499
검정곡선기울기-0.3881.0000.8890.2970.8130.3530.5990.2850.0000.9971.000
램프강도-0.3870.8891.0000.2660.8930.3670.5470.5500.2870.4440.498
챔버온도-0.5320.2970.2661.0000.598-0.1760.1650.0610.0000.9981.000
시료기체유량-0.5320.8130.8930.5981.0000.1430.4070.4910.0000.9971.000
스팬기체의값0.3700.3530.367-0.1760.1431.0000.7110.1910.3060.8160.817
제로기체의값-0.2310.5990.5470.1650.4070.7111.0000.0390.3740.5610.411
램프전압-0.1520.2850.5500.0610.4910.1910.0391.0000.2960.1560.177
발전소명0.0650.0000.2870.0000.0000.3060.3740.2961.0000.0000.000
측정항목0.4990.9970.4440.9980.9970.8160.5610.1560.0001.0000.866
최대범위0.4991.0000.4981.0001.0000.8170.4110.1770.0000.8661.000

Missing values

2023-12-13T07:55:03.681156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:55:03.911719image/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
07호기2017-03-24O2b0.02500.00800.028.63000.00.00000
17호기2017-03-24NOX0.0000.000.00.0000.00.00000
27호기2017-03-24TSP57.5310000.000.00.0000.00.00000
37호기2017-03-24SO20.0000.000.00.0000.00.00000
47호기2017-03-24FL10.04000.000.00.0000.00.00000
58호기2017-03-24NOX0.0000.000.00.0000.00.00000
68호기2017-03-24SO20.0000.000.00.0000.00.00000
78호기2017-03-24O2b0.02500.00800.031.05000.00.00000
88호기2017-03-24FL10.04000.000.00.0000.00.00000
98호기2017-03-24TSP58.1910000.000.00.0000.00.00000
발전소명처리일측정항목광투과백분율최대범위최소범위검정곡선기울기램프강도챔버온도시료기체유량시료기체압력오프셋스팬기체의값제로기체의값교정계수램프전압챔버압력시료기체의온도
33657호기2018-02-28SO20.020001.01500323.06997.9899900140.530.520300
33667호기2018-02-28NOX0.020001.06500323.06998.0300300140.530.130300
33677호기2018-02-28O2b0.02500.00800.0100143.25000.00.00000
33687호기2018-02-28TSP57.4910000.000.00.00070.010.00000
33697호기2018-02-28FLW0.04000.000.00.0000.00.00000
33708호기2018-02-28SO20.020001.03500323.019991012.8100142.30.105100
33718호기2018-02-28NOX0.020001.02500323.019991012.8100142.30.005100
33728호기2018-02-28O2b0.02500.00800.037.03000.00.00000
33738호기2018-02-28TSP60.310000.000.00.00070.010.00000
33748호기2018-02-28FLW0.04000.000.00.0000.00.00000