Overview

Dataset statistics

Number of variables18
Number of observations3580
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory556.0 KiB
Average record size in memory159.0 B

Variable types

Categorical10
DateTime1
Numeric7

Dataset

Description한국중부발전(주)의 신보령발전소 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/15119112/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 2 other fieldsHigh correlation
검정곡선기울기 is highly overall correlated with 시료기체유량 and 4 other fieldsHigh correlation
챔버온도 is highly overall correlated with 광투과백분율 and 4 other fieldsHigh correlation
시료기체유량 is highly overall correlated with 광투과백분율 and 7 other fieldsHigh correlation
스팬기체의값 is highly overall correlated with 검정곡선기울기 and 5 other fieldsHigh correlation
제로기체의값 is highly overall correlated with 광투과백분율High correlation
램프전압 is highly overall correlated with 검정곡선기울기 and 4 other fieldsHigh correlation
측정항목 is highly overall correlated with 검정곡선기울기 and 6 other fieldsHigh correlation
최대범위 is highly overall correlated with 챔버온도 and 4 other fieldsHigh correlation
램프강도 is highly overall correlated with 검정곡선기울기 and 6 other fieldsHigh correlation
광투과백분율 has 2866 (80.1%) zerosZeros
검정곡선기울기 has 2154 (60.2%) zerosZeros
챔버온도 has 1440 (40.2%) zerosZeros
시료기체유량 has 1440 (40.2%) zerosZeros
스팬기체의값 has 1550 (43.3%) zerosZeros
제로기체의값 has 2104 (58.8%) zerosZeros
램프전압 has 2221 (62.0%) zerosZeros

Reproduction

Analysis started2023-12-12 14:59:40.621006
Analysis finished2023-12-12 14:59:48.264426
Duration7.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발전소명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.1 KiB
1호기
1820 
2호기
1760 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1호기
2nd row1호기
3rd row1호기
4th row1호기
5th row1호기

Common Values

ValueCountFrequency (%)
1호기 1820
50.8%
2호기 1760
49.2%

Length

2023-12-12T23:59:48.346671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:59:48.471384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1호기 1820
50.8%
2호기 1760
49.2%

처리일
Date

Distinct364
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size28.1 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T23:59:48.608530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:48.760988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

측정항목
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.1 KiB
TSP
716 
O2b
716 
SO2
716 
NOX
716 
FL1
716 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
TSP 716
20.0%
O2b 716
20.0%
SO2 716
20.0%
NOX 716
20.0%
FL1 716
20.0%

Length

2023-12-12T23:59:48.932880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:59:49.056286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
tsp 716
20.0%
o2b 716
20.0%
so2 716
20.0%
nox 716
20.0%
fl1 716
20.0%

광투과백분율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct472
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.839355
Minimum0
Maximum100.56
Zeros2866
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size31.6 KiB
2023-12-12T23:59:49.231375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile97.051
Maximum100.56
Range100.56
Interquartile range (IQR)0

Descriptive statistics

Standard deviation37.815624
Coefficient of variation (CV)2.0072675
Kurtosis0.31149453
Mean18.839355
Median Absolute Deviation (MAD)0
Skewness1.5159412
Sum67444.89
Variance1430.0214
MonotonicityNot monotonic
2023-12-12T23:59:49.401738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2866
80.1%
96.54 6
 
0.2%
96.7 6
 
0.2%
96.08 6
 
0.2%
96.51 5
 
0.1%
95.92 5
 
0.1%
97.43 5
 
0.1%
97.22 5
 
0.1%
96.88 4
 
0.1%
96.94 4
 
0.1%
Other values (462) 668
 
18.7%
ValueCountFrequency (%)
0.0 2866
80.1%
41.06 1
 
< 0.1%
53.72 1
 
< 0.1%
59.71 1
 
< 0.1%
64.57 1
 
< 0.1%
66.24 1
 
< 0.1%
67.54 1
 
< 0.1%
73.41 2
 
0.1%
75.49 1
 
< 0.1%
75.87 1
 
< 0.1%
ValueCountFrequency (%)
100.56 1
< 0.1%
100.26 1
< 0.1%
100.04 1
< 0.1%
99.95 1
< 0.1%
99.69 1
< 0.1%
99.55 1
< 0.1%
99.5 1
< 0.1%
99.48 1
< 0.1%
99.23 1
< 0.1%
99.18 1
< 0.1%

최대범위
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.1 KiB
200
1426 
50
714 
25
714 
40
692 
0
 
34

Length

Max length3
Median length2
Mean length2.3888268
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50
2nd row25
3rd row200
4th row200
5th row40

Common Values

ValueCountFrequency (%)
200 1426
39.8%
50 714
19.9%
25 714
19.9%
40 692
19.3%
0 34
 
0.9%

Length

2023-12-12T23:59:49.582359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:59:49.719119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200 1426
39.8%
50 714
19.9%
25 714
19.9%
40 692
19.3%
0 34
 
0.9%

최소범위
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.1 KiB
0
3580 

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 3580
100.0%

Length

2023-12-12T23:59:49.878316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:59:50.017043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3580
100.0%

검정곡선기울기
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct51
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.54032123
Minimum0
Maximum1.87
Zeros2154
Zeros (%)60.2%
Negative0
Negative (%)0.0%
Memory size31.6 KiB
2023-12-12T23:59:50.145411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.16
95-th percentile1.65
Maximum1.87
Range1.87
Interquartile range (IQR)1.16

Descriptive statistics

Standard deviation0.68050446
Coefficient of variation (CV)1.2594442
Kurtosis-1.5054346
Mean0.54032123
Median Absolute Deviation (MAD)0
Skewness0.5582939
Sum1934.35
Variance0.46308632
MonotonicityNot monotonic
2023-12-12T23:59:50.322990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2154
60.2%
1.14 226
 
6.3%
1.55 133
 
3.7%
1.13 103
 
2.9%
1.12 98
 
2.7%
1.17 64
 
1.8%
1.29 61
 
1.7%
1.53 56
 
1.6%
1.15 48
 
1.3%
1.7 35
 
1.0%
Other values (41) 602
 
16.8%
ValueCountFrequency (%)
0.0 2154
60.2%
0.1 1
 
< 0.1%
0.5 6
 
0.2%
1.03 1
 
< 0.1%
1.07 15
 
0.4%
1.1 21
 
0.6%
1.11 7
 
0.2%
1.12 98
 
2.7%
1.13 103
 
2.9%
1.14 226
 
6.3%
ValueCountFrequency (%)
1.87 7
 
0.2%
1.83 21
0.6%
1.8 14
 
0.4%
1.78 14
 
0.4%
1.76 10
 
0.3%
1.72 5
 
0.1%
1.71 21
0.6%
1.7 35
1.0%
1.68 31
0.9%
1.66 14
 
0.4%

램프강도
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.1 KiB
0
2154 
500
1359 
443
 
67

Length

Max length3
Median length1
Mean length1.796648
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row500
4th row500
5th row0

Common Values

ValueCountFrequency (%)
0 2154
60.2%
500 1359
38.0%
443 67
 
1.9%

Length

2023-12-12T23:59:50.510594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:59:50.669155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2154
60.2%
500 1359
38.0%
443 67
 
1.9%

챔버온도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct113
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean288.4149
Minimum0
Maximum800.03998
Zeros1440
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size31.6 KiB
2023-12-12T23:59:50.818470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median323
Q3325.01001
95-th percentile800.01001
Maximum800.03998
Range800.03998
Interquartile range (IQR)325.01001

Descriptive statistics

Standard deviation293.55024
Coefficient of variation (CV)1.0178054
Kurtosis-0.78353948
Mean288.4149
Median Absolute Deviation (MAD)323
Skewness0.67540943
Sum1032525.3
Variance86171.746
MonotonicityNot monotonic
2023-12-12T23:59:50.976057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1440
40.2%
800.0 189
 
5.3%
323.01001 177
 
4.9%
323.01999 166
 
4.6%
800.01001 146
 
4.1%
323.03 138
 
3.9%
799.98999 133
 
3.7%
322.98999 101
 
2.8%
323.0 101
 
2.8%
800.02002 89
 
2.5%
Other values (103) 900
25.1%
ValueCountFrequency (%)
0.0 1440
40.2%
319.23999 1
 
< 0.1%
319.76001 1
 
< 0.1%
321.13 1
 
< 0.1%
322.82001 1
 
< 0.1%
322.89001 1
 
< 0.1%
322.91 1
 
< 0.1%
322.94 1
 
< 0.1%
322.95001 1
 
< 0.1%
322.95999 24
 
0.7%
ValueCountFrequency (%)
800.03998 12
 
0.3%
800.03003 23
 
0.6%
800.02002 89
2.5%
800.01001 146
4.1%
800.0 189
5.3%
799.98999 133
3.7%
799.97998 72
 
2.0%
799.96997 39
 
1.1%
799.96002 7
 
0.2%
799.95001 3
 
0.1%

시료기체유량
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1070
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean409.28116
Minimum0
Maximum1028.22
Zeros1440
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size31.6 KiB
2023-12-12T23:59:51.155810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median41
Q31003.93
95-th percentile1017.2125
Maximum1028.22
Range1028.22
Interquartile range (IQR)1003.93

Descriptive statistics

Standard deviation486.15777
Coefficient of variation (CV)1.1878332
Kurtosis-1.8256844
Mean409.28116
Median Absolute Deviation (MAD)41
Skewness0.41295456
Sum1465226.6
Variance236349.38
MonotonicityNot monotonic
2023-12-12T23:59:51.337605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1440
40.2%
40.0 198
 
5.5%
1013.0 139
 
3.9%
46.0 132
 
3.7%
41.0 80
 
2.2%
45.0 77
 
2.2%
44.0 75
 
2.1%
38.0 42
 
1.2%
47.0 30
 
0.8%
30.0 26
 
0.7%
Other values (1060) 1341
37.5%
ValueCountFrequency (%)
0.0 1440
40.2%
30.0 26
 
0.7%
30.28 1
 
< 0.1%
31.0 1
 
< 0.1%
37.0 1
 
< 0.1%
38.0 42
 
1.2%
38.97 1
 
< 0.1%
39.0 23
 
0.6%
40.0 198
 
5.5%
40.1 1
 
< 0.1%
ValueCountFrequency (%)
1028.21997 1
< 0.1%
1027.93005 1
< 0.1%
1027.72998 1
< 0.1%
1027.19995 1
< 0.1%
1026.47998 1
< 0.1%
1026.17004 2
0.1%
1026.13 1
< 0.1%
1025.47998 1
< 0.1%
1025.20996 1
< 0.1%
1025.17004 1
< 0.1%

시료기체압력
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.1 KiB
0
3580 

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 3580
100.0%

Length

2023-12-12T23:59:51.467344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:59:51.567248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3580
100.0%

오프셋
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.1 KiB
0
3580 

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 3580
100.0%

Length

2023-12-12T23:59:51.675200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:59:51.772611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3580
100.0%

스팬기체의값
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct383
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.022791
Minimum0
Maximum143.64999
Zeros1550
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size31.6 KiB
2023-12-12T23:59:51.906715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median70.09
Q3140.0825
95-th percentile142.78
Maximum143.64999
Range143.64999
Interquartile range (IQR)140.0825

Descriptive statistics

Standard deviation63.074137
Coefficient of variation (CV)0.95533885
Kurtosis-1.7355175
Mean66.022791
Median Absolute Deviation (MAD)70.09
Skewness0.12849305
Sum236361.59
Variance3978.3467
MonotonicityNot monotonic
2023-12-12T23:59:52.108222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1550
43.3%
70.09 112
 
3.1%
70.16 102
 
2.8%
70.06 44
 
1.2%
139.44 40
 
1.1%
70.2 37
 
1.0%
70.19 36
 
1.0%
70.07 34
 
0.9%
70.18 32
 
0.9%
70.17 31
 
0.9%
Other values (373) 1562
43.6%
ValueCountFrequency (%)
0.0 1550
43.3%
69.99 3
 
0.1%
70.0 4
 
0.1%
70.01 7
 
0.2%
70.02 6
 
0.2%
70.03 14
 
0.4%
70.04 17
 
0.5%
70.05 30
 
0.8%
70.06 44
 
1.2%
70.07 34
 
0.9%
ValueCountFrequency (%)
143.64999 1
< 0.1%
143.64 1
< 0.1%
143.60001 1
< 0.1%
143.50999 1
< 0.1%
143.25 1
< 0.1%
143.12 1
< 0.1%
143.07001 1
< 0.1%
143.06 2
0.1%
143.05 1
< 0.1%
143.03999 2
0.1%

제로기체의값
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct159
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24882682
Minimum0
Maximum4.45
Zeros2104
Zeros (%)58.8%
Negative0
Negative (%)0.0%
Memory size31.6 KiB
2023-12-12T23:59:52.308009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.65
95-th percentile0.9605
Maximum4.45
Range4.45
Interquartile range (IQR)0.65

Descriptive statistics

Standard deviation0.39135334
Coefficient of variation (CV)1.5727941
Kurtosis9.7226983
Mean0.24882682
Median Absolute Deviation (MAD)0
Skewness2.2512026
Sum890.8
Variance0.15315744
MonotonicityNot monotonic
2023-12-12T23:59:52.460649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2104
58.8%
0.67 530
 
14.8%
0.66 123
 
3.4%
1.08 38
 
1.1%
0.65 36
 
1.0%
1.04 32
 
0.9%
0.64 24
 
0.7%
0.09 21
 
0.6%
1.34 21
 
0.6%
0.11 19
 
0.5%
Other values (149) 632
 
17.7%
ValueCountFrequency (%)
0.0 2104
58.8%
0.01 16
 
0.4%
0.02 17
 
0.5%
0.03 12
 
0.3%
0.04 9
 
0.3%
0.05 8
 
0.2%
0.06 18
 
0.5%
0.07 11
 
0.3%
0.08 12
 
0.3%
0.09 21
 
0.6%
ValueCountFrequency (%)
4.45 1
< 0.1%
3.56 1
< 0.1%
2.95 1
< 0.1%
2.87 1
< 0.1%
2.85 1
< 0.1%
2.82 1
< 0.1%
2.65 1
< 0.1%
2.56 1
< 0.1%
2.51 1
< 0.1%
2.48 1
< 0.1%

교정계수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.1 KiB
0
3580 

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 3580
100.0%

Length

2023-12-12T23:59:52.622672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:59:52.735214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3580
100.0%

램프전압
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct58
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.157263
Minimum0
Maximum209
Zeros2221
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size31.6 KiB
2023-12-12T23:59:53.163105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q351
95-th percentile119
Maximum209
Range209
Interquartile range (IQR)51

Descriptive statistics

Standard deviation43.711079
Coefficient of variation (CV)1.5523909
Kurtosis1.9334237
Mean28.157263
Median Absolute Deviation (MAD)0
Skewness1.5846561
Sum100803
Variance1910.6584
MonotonicityNot monotonic
2023-12-12T23:59:53.304339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2221
62.0%
64 118
 
3.3%
44 110
 
3.1%
71 107
 
3.0%
51 90
 
2.5%
30 74
 
2.1%
16 63
 
1.8%
113 62
 
1.7%
37 55
 
1.5%
58 55
 
1.5%
Other values (48) 625
 
17.5%
ValueCountFrequency (%)
0 2221
62.0%
9 7
 
0.2%
13 2
 
0.1%
16 63
 
1.8%
23 3
 
0.1%
27 17
 
0.5%
30 74
 
2.1%
34 11
 
0.3%
37 55
 
1.5%
41 18
 
0.5%
ValueCountFrequency (%)
209 3
0.1%
202 4
0.1%
199 7
0.2%
195 4
0.1%
192 2
 
0.1%
188 2
 
0.1%
185 3
0.1%
181 7
0.2%
178 1
 
< 0.1%
174 6
0.2%

챔버압력
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.1 KiB
0
3580 

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 3580
100.0%

Length

2023-12-12T23:59:53.455313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:59:53.565693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3580
100.0%

시료기체의온도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size28.1 KiB
0
3580 

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 3580
100.0%

Length

2023-12-12T23:59:53.683621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:59:53.786345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 3580
100.0%

Interactions

2023-12-12T23:59:46.666491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:41.669433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:42.549050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:43.446109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:44.333784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:45.096488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:45.817749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:46.797335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:41.760676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:42.670662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:43.603661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:44.446234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:45.205000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:45.917958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:46.931524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:41.882330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:42.808900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:43.732710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:44.577084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:45.317771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:46.101728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:47.372068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:42.027231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:42.974398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:43.871570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:44.699545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:45.422552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:46.232792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:47.483076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:42.140904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:43.082996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:43.989887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:44.805619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:45.518380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:46.329446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:47.605744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:42.329474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:43.217028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:44.093999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:44.922661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:45.614722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:46.438130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:47.714072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:42.445288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:43.322353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:44.217224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:45.013399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:45.720468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:59:46.551295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:59:53.857308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발전소명측정항목광투과백분율최대범위검정곡선기울기램프강도챔버온도시료기체유량스팬기체의값제로기체의값램프전압
발전소명1.0000.0000.0880.0110.2210.0850.0000.0000.0250.1630.357
측정항목0.0001.0000.6550.9910.8130.7290.8400.9210.9100.6770.861
광투과백분율0.0880.6551.0000.6560.4280.3890.4790.3780.7650.5860.278
최대범위0.0110.9910.6561.0000.6560.7180.8411.0000.9120.6680.802
검정곡선기울기0.2210.8130.4280.6561.0000.7930.7080.9680.7410.4160.779
램프강도0.0850.7290.3890.7180.7931.0000.6761.0000.9390.5200.790
챔버온도0.0000.8400.4790.8410.7080.6761.0001.0000.7110.4770.726
시료기체유량0.0000.9210.3781.0000.9681.0001.0001.0000.6920.3700.992
스팬기체의값0.0250.9100.7650.9120.7410.9390.7110.6921.0000.9190.785
제로기체의값0.1630.6770.5860.6680.4160.5200.4770.3700.9191.0000.247
램프전압0.3570.8610.2780.8020.7790.7900.7260.9920.7850.2471.000
2023-12-12T23:59:54.014255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
측정항목최대범위램프강도발전소명
측정항목1.0000.8630.7210.000
최대범위0.8631.0000.7070.014
램프강도0.7210.7071.0000.141
발전소명0.0000.0140.1411.000
2023-12-12T23:59:54.143727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
광투과백분율검정곡선기울기챔버온도시료기체유량스팬기체의값제로기체의값램프전압발전소명측정항목최대범위램프강도
광투과백분율1.000-0.386-0.530-0.5300.0480.635-0.3730.0940.4980.4990.284
검정곡선기울기-0.3861.0000.2880.8700.7480.1190.8560.2360.7000.4980.741
챔버온도-0.5300.2881.0000.5880.049-0.3030.2900.0000.8140.8160.707
시료기체유량-0.5300.8700.5881.0000.609-0.0400.7880.0000.9961.0001.000
스팬기체의값0.0480.7480.0490.6091.0000.4580.8040.0420.9600.9620.698
제로기체의값0.6350.119-0.303-0.0400.4581.0000.1430.1620.4750.4650.267
램프전압-0.3730.8560.2900.7880.8040.1431.0000.2740.5290.4580.676
발전소명0.0940.2360.0000.0000.0420.1620.2741.0000.0000.0140.141
측정항목0.4980.7000.8140.9960.9600.4750.5290.0001.0000.8630.721
최대범위0.4990.4980.8161.0000.9620.4650.4580.0140.8631.0000.707
램프강도0.2840.7410.7071.0000.6980.2670.6760.1410.7210.7071.000

Missing values

2023-12-12T23:59:47.846944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:59:48.150954image/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
01호기2022-01-01TSP97.165000.000.00.00070.060.670000
11호기2022-01-01O2b0.02500.00800.046.0000.00.00000
21호기2022-01-01SO20.020001.35500323.01026.1700400142.810.002300
31호기2022-01-01NOX0.020001.25500322.980011013.000141.120.4604400
41호기2022-01-01FL10.04000.000.00.0000.00.00000
52호기2022-01-01TSP96.275000.000.00.00070.170.650000
62호기2022-01-01O2b0.02500.00800.0100147.0000.00.00000
72호기2022-01-01SO20.020001.42443323.019991021.46997000.00.00000
82호기2022-01-01NOX0.020001.13500323.049991014.0600141.350010.004800
92호기2022-01-01FL10.04000.000.00.0000.00.00000
발전소명처리일측정항목광투과백분율최대범위최소범위검정곡선기울기램프강도챔버온도시료기체유량시료기체압력오프셋스팬기체의값제로기체의값교정계수램프전압챔버압력시료기체의온도
35701호기2022-12-31TSP95.755000.000.00.00070.040.670000
35711호기2022-12-31O2b0.02500.00800.0100140.25000.00.00000
35721호기2022-12-31SO20.020001.55500323.061026.1300142.560.008200
35731호기2022-12-31NOX0.020001.41500323.01017.000140.259990.6209900
35741호기2022-12-31FL10.04000.000.00.0000.00.00000
35752호기2022-12-31TSP90.975000.000.00.00070.130.660000
35762호기2022-12-31O2b0.02500.00799.9899941.0000.00.00000
35772호기2022-12-31SO20.020001.76500323.010011024.6600300139.410.0020900
35782호기2022-12-31NOX0.020001.13500323.010011013.5499900140.450.2015800
35792호기2022-12-31FL10.04000.000.00.0000.00.00000