Overview

Dataset statistics

Number of variables24
Number of observations188
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.6 KiB
Average record size in memory215.7 B

Variable types

DateTime1
Categorical5
Numeric18

Dataset

Description한국지역난방공사에서 제공하는 PLB, 소각로 GT, SE 등 설비 구분에 따른 일자별 지역난방 공사 설비별 가동 현황 정보 입니다
Author한국지역난방공사
URLhttps://www.data.go.kr/data/15124158/fileData.do

Alerts

1 첨두부하보일러(so) has constant value ""Constant
2 첨두부하보일러(so) has constant value ""Constant
1 첨두부하보일러(wg).1 has constant value ""Constant
소각로 is highly imbalanced (92.8%)Imbalance
2 첨두부하보일러(wg).2 is highly imbalanced (95.2%)Imbalance
일자 has unique valuesUnique
1 첨두부하보일러(wg) has 174 (92.6%) zerosZeros
2 첨두부하보일러(wg) has 173 (92.0%) zerosZeros
3 첨두부하보일러(wg) has 172 (91.5%) zerosZeros
모드4 has 172 (91.5%) zerosZeros
가스터빈1 has 46 (24.5%) zerosZeros
에코 1 has 41 (21.8%) zerosZeros
에코 2 has 42 (22.3%) zerosZeros
가스터빈1.1 has 35 (18.6%) zerosZeros
1 첨두부하보일러(wg).2 has 177 (94.1%) zerosZeros
2 첨두부하보일러(wg).1 has 178 (94.7%) zerosZeros
에코 1.1 has 30 (16.0%) zerosZeros
에코 2.1 has 29 (15.4%) zerosZeros
1 첨두부하보일러(wg).3 has 176 (93.6%) zerosZeros
스팀터빈 has 77 (41.0%) zerosZeros
1 첨두부하보일러(so).1 has 120 (63.8%) zerosZeros
2 첨두부하보일러(so).1 has 141 (75.0%) zerosZeros
3 첨두부하보일러(wgLFG) has 92 (48.9%) zerosZeros
4 첨두부하보일러(wg LFG) has 85 (45.2%) zerosZeros

Reproduction

Analysis started2023-12-12 20:17:54.270338
Analysis finished2023-12-12 20:17:54.541134
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

UNIQUE 

Distinct188
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2023-01-01 00:00:00
Maximum2023-07-07 00:00:00
2023-12-13T05:17:54.625748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:17:54.825697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

1 첨두부하보일러(so)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
188 

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 (%)
0 188
100.0%

Length

2023-12-13T05:17:54.999600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:17:55.106853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 188
100.0%

2 첨두부하보일러(so)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
188 

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 (%)
0 188
100.0%

Length

2023-12-13T05:17:55.226027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:17:55.336629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 188
100.0%

1 첨두부하보일러(wg)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.026596
Minimum0
Maximum975
Zeros174
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:17:55.423342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile311.85
Maximum975
Range975
Interquartile range (IQR)0

Descriptive statistics

Standard deviation124.89137
Coefficient of variation (CV)4.3026531
Kurtosis27.472535
Mean29.026596
Median Absolute Deviation (MAD)0
Skewness5.0017965
Sum5457
Variance15597.855
MonotonicityNot monotonic
2023-12-13T05:17:55.531368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 174
92.6%
17 1
 
0.5%
358 1
 
0.5%
545 1
 
0.5%
315 1
 
0.5%
22 1
 
0.5%
306 1
 
0.5%
975 1
 
0.5%
420 1
 
0.5%
58 1
 
0.5%
Other values (5) 5
 
2.7%
ValueCountFrequency (%)
0 174
92.6%
17 1
 
0.5%
22 1
 
0.5%
58 1
 
0.5%
306 1
 
0.5%
315 1
 
0.5%
318 1
 
0.5%
340 1
 
0.5%
358 1
 
0.5%
420 1
 
0.5%
ValueCountFrequency (%)
975 1
0.5%
768 1
0.5%
554 1
0.5%
545 1
0.5%
461 1
0.5%
420 1
0.5%
358 1
0.5%
340 1
0.5%
318 1
0.5%
315 1
0.5%

2 첨두부하보일러(wg)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.367021
Minimum0
Maximum1418
Zeros173
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:17:55.645333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile340.95
Maximum1418
Range1418
Interquartile range (IQR)0

Descriptive statistics

Standard deviation159.57014
Coefficient of variation (CV)4.1590442
Kurtosis37.517966
Mean38.367021
Median Absolute Deviation (MAD)0
Skewness5.5797095
Sum7213
Variance25462.629
MonotonicityNot monotonic
2023-12-13T05:17:56.118722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 173
92.0%
342 1
 
0.5%
459 1
 
0.5%
300 1
 
0.5%
253 1
 
0.5%
526 1
 
0.5%
606 1
 
0.5%
406 1
 
0.5%
1418 1
 
0.5%
16 1
 
0.5%
Other values (6) 6
 
3.2%
ValueCountFrequency (%)
0 173
92.0%
16 1
 
0.5%
253 1
 
0.5%
281 1
 
0.5%
300 1
 
0.5%
339 1
 
0.5%
342 1
 
0.5%
360 1
 
0.5%
373 1
 
0.5%
406 1
 
0.5%
ValueCountFrequency (%)
1418 1
0.5%
988 1
0.5%
606 1
0.5%
546 1
0.5%
526 1
0.5%
459 1
0.5%
406 1
0.5%
373 1
0.5%
360 1
0.5%
342 1
0.5%

3 첨두부하보일러(wg)
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.984043
Minimum0
Maximum1440
Zeros172
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:17:56.262710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile633.5
Maximum1440
Range1440
Interquartile range (IQR)0

Descriptive statistics

Standard deviation276.93818
Coefficient of variation (CV)3.6446886
Kurtosis14.455623
Mean75.984043
Median Absolute Deviation (MAD)0
Skewness3.8751025
Sum14285
Variance76694.754
MonotonicityNot monotonic
2023-12-13T05:17:56.428422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 172
91.5%
1440 4
 
2.1%
379 1
 
0.5%
933 1
 
0.5%
974 1
 
0.5%
571 1
 
0.5%
319 1
 
0.5%
983 1
 
0.5%
588 1
 
0.5%
658 1
 
0.5%
Other values (4) 4
 
2.1%
ValueCountFrequency (%)
0 172
91.5%
296 1
 
0.5%
319 1
 
0.5%
379 1
 
0.5%
533 1
 
0.5%
571 1
 
0.5%
588 1
 
0.5%
658 1
 
0.5%
933 1
 
0.5%
974 1
 
0.5%
ValueCountFrequency (%)
1440 4
2.1%
1171 1
 
0.5%
1120 1
 
0.5%
983 1
 
0.5%
974 1
 
0.5%
933 1
 
0.5%
658 1
 
0.5%
588 1
 
0.5%
571 1
 
0.5%
533 1
 
0.5%

소각로
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
1440
185 
669
 
1
1297
 
1
600
 
1

Length

Max length4
Median length4
Mean length3.9893617
Min length3

Unique

Unique3 ?
Unique (%)1.6%

Sample

1st row1440
2nd row1440
3rd row1440
4th row1440
5th row1440

Common Values

ValueCountFrequency (%)
1440 185
98.4%
669 1
 
0.5%
1297 1
 
0.5%
600 1
 
0.5%

Length

2023-12-13T05:17:56.634146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:17:56.781331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1440 185
98.4%
669 1
 
0.5%
1297 1
 
0.5%
600 1
 
0.5%

1 첨두부하보일러(wg).1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
188 

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 (%)
0 188
100.0%

Length

2023-12-13T05:17:56.936403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:17:57.048635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 188
100.0%

모드4
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.718085
Minimum0
Maximum1440
Zeros172
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:17:57.152341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile795.05
Maximum1440
Range1440
Interquartile range (IQR)0

Descriptive statistics

Standard deviation274.81021
Coefficient of variation (CV)3.5359879
Kurtosis12.9365
Mean77.718085
Median Absolute Deviation (MAD)0
Skewness3.6814199
Sum14611
Variance75520.653
MonotonicityNot monotonic
2023-12-13T05:17:57.329708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 172
91.5%
1440 3
 
1.6%
899 1
 
0.5%
950 1
 
0.5%
998 1
 
0.5%
602 1
 
0.5%
501 1
 
0.5%
959 1
 
0.5%
600 1
 
0.5%
435 1
 
0.5%
Other values (5) 5
 
2.7%
ValueCountFrequency (%)
0 172
91.5%
435 1
 
0.5%
444 1
 
0.5%
501 1
 
0.5%
562 1
 
0.5%
600 1
 
0.5%
602 1
 
0.5%
899 1
 
0.5%
950 1
 
0.5%
959 1
 
0.5%
ValueCountFrequency (%)
1440 3
1.6%
1189 1
 
0.5%
1130 1
 
0.5%
1022 1
 
0.5%
998 1
 
0.5%
959 1
 
0.5%
950 1
 
0.5%
899 1
 
0.5%
602 1
 
0.5%
600 1
 
0.5%

가스터빈1
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean847.2234
Minimum0
Maximum1440
Zeros46
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:17:57.499538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1195.25
median1000
Q31440
95-th percentile1440
Maximum1440
Range1440
Interquartile range (IQR)1244.75

Descriptive statistics

Standard deviation588.32896
Coefficient of variation (CV)0.6944201
Kurtosis-1.4783047
Mean847.2234
Median Absolute Deviation (MAD)440
Skewness-0.37020046
Sum159278
Variance346130.97
MonotonicityNot monotonic
2023-12-13T05:17:57.669677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1440 72
38.3%
0 46
24.5%
480 4
 
2.1%
1020 4
 
2.1%
1439 3
 
1.6%
479 3
 
1.6%
959 3
 
1.6%
540 3
 
1.6%
1079 3
 
1.6%
1199 2
 
1.1%
Other values (39) 45
23.9%
ValueCountFrequency (%)
0 46
24.5%
1 1
 
0.5%
260 1
 
0.5%
360 1
 
0.5%
373 1
 
0.5%
420 1
 
0.5%
450 1
 
0.5%
478 1
 
0.5%
479 3
 
1.6%
480 4
 
2.1%
ValueCountFrequency (%)
1440 72
38.3%
1439 3
 
1.6%
1199 2
 
1.1%
1183 1
 
0.5%
1140 1
 
0.5%
1081 2
 
1.1%
1080 2
 
1.1%
1079 3
 
1.6%
1050 1
 
0.5%
1049 1
 
0.5%

에코 1
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean856.48404
Minimum0
Maximum1440
Zeros41
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:17:57.943334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1262.5
median1019.5
Q31440
95-th percentile1440
Maximum1440
Range1440
Interquartile range (IQR)1177.5

Descriptive statistics

Standard deviation585.52212
Coefficient of variation (CV)0.68363459
Kurtosis-1.4551645
Mean856.48404
Median Absolute Deviation (MAD)420.5
Skewness-0.3989893
Sum161019
Variance342836.15
MonotonicityNot monotonic
2023-12-13T05:17:58.131811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1440 75
39.9%
0 41
21.8%
1109 3
 
1.6%
568 2
 
1.1%
509 2
 
1.1%
554 2
 
1.1%
1097 2
 
1.1%
15 2
 
1.1%
1048 2
 
1.1%
837 1
 
0.5%
Other values (56) 56
29.8%
ValueCountFrequency (%)
0 41
21.8%
11 1
 
0.5%
12 1
 
0.5%
15 2
 
1.1%
121 1
 
0.5%
123 1
 
0.5%
309 1
 
0.5%
371 1
 
0.5%
395 1
 
0.5%
417 1
 
0.5%
ValueCountFrequency (%)
1440 75
39.9%
1231 1
 
0.5%
1226 1
 
0.5%
1214 1
 
0.5%
1173 1
 
0.5%
1146 1
 
0.5%
1112 1
 
0.5%
1109 3
 
1.6%
1097 2
 
1.1%
1083 1
 
0.5%

에코 2
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean848.80319
Minimum0
Maximum1440
Zeros42
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:17:58.319052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1150
median990.5
Q31440
95-th percentile1440
Maximum1440
Range1440
Interquartile range (IQR)1290

Descriptive statistics

Standard deviation586.13971
Coefficient of variation (CV)0.69054843
Kurtosis-1.4679498
Mean848.80319
Median Absolute Deviation (MAD)449.5
Skewness-0.37775675
Sum159575
Variance343559.76
MonotonicityNot monotonic
2023-12-13T05:17:58.503861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1440 74
39.4%
0 42
22.3%
507 2
 
1.1%
1049 2
 
1.1%
678 2
 
1.1%
15 2
 
1.1%
1046 2
 
1.1%
964 2
 
1.1%
910 1
 
0.5%
1109 1
 
0.5%
Other values (58) 58
30.9%
ValueCountFrequency (%)
0 42
22.3%
11 1
 
0.5%
12 1
 
0.5%
15 2
 
1.1%
123 1
 
0.5%
159 1
 
0.5%
303 1
 
0.5%
371 1
 
0.5%
418 1
 
0.5%
482 1
 
0.5%
ValueCountFrequency (%)
1440 74
39.4%
1227 1
 
0.5%
1225 1
 
0.5%
1214 1
 
0.5%
1173 1
 
0.5%
1125 1
 
0.5%
1111 1
 
0.5%
1109 1
 
0.5%
1108 1
 
0.5%
1099 1
 
0.5%

가스터빈1.1
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean946.79255
Minimum0
Maximum1440
Zeros35
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:17:58.689395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1648
median1036.5
Q31440
95-th percentile1440
Maximum1440
Range1440
Interquartile range (IQR)792

Descriptive statistics

Standard deviation539.52286
Coefficient of variation (CV)0.56984273
Kurtosis-0.84606357
Mean946.79255
Median Absolute Deviation (MAD)403.5
Skewness-0.75919793
Sum177997
Variance291084.91
MonotonicityNot monotonic
2023-12-13T05:17:58.850413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1440 73
38.8%
0 35
18.6%
1439 4
 
2.1%
1019 3
 
1.6%
1050 2
 
1.1%
895 2
 
1.1%
894 2
 
1.1%
962 2
 
1.1%
899 2
 
1.1%
973 1
 
0.5%
Other values (62) 62
33.0%
ValueCountFrequency (%)
0 35
18.6%
161 1
 
0.5%
352 1
 
0.5%
371 1
 
0.5%
374 1
 
0.5%
415 1
 
0.5%
479 1
 
0.5%
480 1
 
0.5%
509 1
 
0.5%
540 1
 
0.5%
ValueCountFrequency (%)
1440 73
38.8%
1439 4
 
2.1%
1380 1
 
0.5%
1378 1
 
0.5%
1200 1
 
0.5%
1195 1
 
0.5%
1141 1
 
0.5%
1139 1
 
0.5%
1080 1
 
0.5%
1079 1
 
0.5%

1 첨두부하보일러(wg).2
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.042553
Minimum0
Maximum1440
Zeros177
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:17:59.007734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1440
Range1440
Interquartile range (IQR)0

Descriptive statistics

Standard deviation130.98764
Coefficient of variation (CV)6.5354769
Kurtosis83.10352
Mean20.042553
Median Absolute Deviation (MAD)0
Skewness8.6171947
Sum3768
Variance17157.763
MonotonicityNot monotonic
2023-12-13T05:17:59.151455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 177
94.1%
1 2
 
1.1%
297 1
 
0.5%
134 1
 
0.5%
1440 1
 
0.5%
846 1
 
0.5%
302 1
 
0.5%
486 1
 
0.5%
11 1
 
0.5%
247 1
 
0.5%
ValueCountFrequency (%)
0 177
94.1%
1 2
 
1.1%
3 1
 
0.5%
11 1
 
0.5%
134 1
 
0.5%
247 1
 
0.5%
297 1
 
0.5%
302 1
 
0.5%
486 1
 
0.5%
846 1
 
0.5%
ValueCountFrequency (%)
1440 1
0.5%
846 1
0.5%
486 1
0.5%
302 1
0.5%
297 1
0.5%
247 1
0.5%
134 1
0.5%
11 1
0.5%
3 1
0.5%
1 2
1.1%

2 첨두부하보일러(wg).1
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.962766
Minimum0
Maximum1440
Zeros178
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:17:59.302326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.65
Maximum1440
Range1440
Interquartile range (IQR)0

Descriptive statistics

Standard deviation124.93816
Coefficient of variation (CV)7.8268491
Kurtosis101.15019
Mean15.962766
Median Absolute Deviation (MAD)0
Skewness9.6980401
Sum3001
Variance15609.544
MonotonicityNot monotonic
2023-12-13T05:17:59.431354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 178
94.7%
2 2
 
1.1%
1 1
 
0.5%
311 1
 
0.5%
133 1
 
0.5%
1440 1
 
0.5%
846 1
 
0.5%
12 1
 
0.5%
251 1
 
0.5%
3 1
 
0.5%
ValueCountFrequency (%)
0 178
94.7%
1 1
 
0.5%
2 2
 
1.1%
3 1
 
0.5%
12 1
 
0.5%
133 1
 
0.5%
251 1
 
0.5%
311 1
 
0.5%
846 1
 
0.5%
1440 1
 
0.5%
ValueCountFrequency (%)
1440 1
 
0.5%
846 1
 
0.5%
311 1
 
0.5%
251 1
 
0.5%
133 1
 
0.5%
12 1
 
0.5%
3 1
 
0.5%
2 2
 
1.1%
1 1
 
0.5%
0 178
94.7%

에코 1.1
Real number (ℝ)

ZEROS 

Distinct79
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean962.12766
Minimum0
Maximum1440
Zeros30
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:17:59.608234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1718.25
median1073.5
Q31440
95-th percentile1440
Maximum1440
Range1440
Interquartile range (IQR)721.75

Descriptive statistics

Standard deviation539.49766
Coefficient of variation (CV)0.56073397
Kurtosis-0.75372195
Mean962.12766
Median Absolute Deviation (MAD)366.5
Skewness-0.83847182
Sum180880
Variance291057.73
MonotonicityNot monotonic
2023-12-13T05:17:59.771342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1440 76
40.4%
0 30
 
16.0%
1111 2
 
1.1%
1117 2
 
1.1%
1116 2
 
1.1%
998 2
 
1.1%
1001 2
 
1.1%
1037 1
 
0.5%
2 1
 
0.5%
1035 1
 
0.5%
Other values (69) 69
36.7%
ValueCountFrequency (%)
0 30
16.0%
2 1
 
0.5%
12 1
 
0.5%
15 1
 
0.5%
19 1
 
0.5%
21 1
 
0.5%
81 1
 
0.5%
220 1
 
0.5%
395 1
 
0.5%
436 1
 
0.5%
ValueCountFrequency (%)
1440 76
40.4%
1438 1
 
0.5%
1400 1
 
0.5%
1398 1
 
0.5%
1231 1
 
0.5%
1218 1
 
0.5%
1179 1
 
0.5%
1178 1
 
0.5%
1145 1
 
0.5%
1132 1
 
0.5%

에코 2.1
Real number (ℝ)

ZEROS 

Distinct77
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean977.95745
Minimum0
Maximum1440
Zeros29
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:17:59.936700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1716.5
median1092
Q31440
95-th percentile1440
Maximum1440
Range1440
Interquartile range (IQR)723.5

Descriptive statistics

Standard deviation534.72318
Coefficient of variation (CV)0.5467755
Kurtosis-0.69184979
Mean977.95745
Median Absolute Deviation (MAD)348
Skewness-0.86717017
Sum183856
Variance285928.88
MonotonicityNot monotonic
2023-12-13T05:18:00.097633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1440 81
43.1%
0 29
 
15.4%
1115 2
 
1.1%
990 2
 
1.1%
993 2
 
1.1%
942 1
 
0.5%
997 1
 
0.5%
963 1
 
0.5%
983 1
 
0.5%
908 1
 
0.5%
Other values (67) 67
35.6%
ValueCountFrequency (%)
0 29
15.4%
2 1
 
0.5%
15 1
 
0.5%
21 1
 
0.5%
76 1
 
0.5%
177 1
 
0.5%
236 1
 
0.5%
399 1
 
0.5%
413 1
 
0.5%
438 1
 
0.5%
ValueCountFrequency (%)
1440 81
43.1%
1400 1
 
0.5%
1398 1
 
0.5%
1232 1
 
0.5%
1231 1
 
0.5%
1197 1
 
0.5%
1173 1
 
0.5%
1172 1
 
0.5%
1124 1
 
0.5%
1115 2
 
1.1%

1 첨두부하보일러(wg).3
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.255319
Minimum0
Maximum1440
Zeros176
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:18:00.239114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6.25
Maximum1440
Range1440
Interquartile range (IQR)0

Descriptive statistics

Standard deviation172.11754
Coefficient of variation (CV)5.6888357
Kurtosis50.344254
Mean30.255319
Median Absolute Deviation (MAD)0
Skewness6.8548102
Sum5688
Variance29624.448
MonotonicityNot monotonic
2023-12-13T05:18:00.409950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 176
93.6%
1440 2
 
1.1%
2 1
 
0.5%
829 1
 
0.5%
21 1
 
0.5%
316 1
 
0.5%
8 1
 
0.5%
620 1
 
0.5%
148 1
 
0.5%
3 1
 
0.5%
Other values (2) 2
 
1.1%
ValueCountFrequency (%)
0 176
93.6%
2 1
 
0.5%
3 1
 
0.5%
8 1
 
0.5%
21 1
 
0.5%
148 1
 
0.5%
316 1
 
0.5%
424 1
 
0.5%
437 1
 
0.5%
620 1
 
0.5%
ValueCountFrequency (%)
1440 2
1.1%
829 1
0.5%
620 1
0.5%
437 1
0.5%
424 1
0.5%
316 1
0.5%
148 1
0.5%
21 1
0.5%
8 1
0.5%
3 1
0.5%

2 첨두부하보일러(wg).2
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
0
187 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
0 187
99.5%
3 1
 
0.5%

Length

2023-12-13T05:18:00.581181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:18:00.734441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 187
99.5%
3 1
 
0.5%

스팀터빈
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean759.48936
Minimum0
Maximum1440
Zeros77
Zeros (%)41.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:18:00.867491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1047.5
Q31440
95-th percentile1440
Maximum1440
Range1440
Interquartile range (IQR)1440

Descriptive statistics

Standard deviation693.03035
Coefficient of variation (CV)0.91249514
Kurtosis-1.9425905
Mean759.48936
Median Absolute Deviation (MAD)392.5
Skewness-0.10956056
Sum142784
Variance480291.06
MonotonicityNot monotonic
2023-12-13T05:18:00.998492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1440 88
46.8%
0 77
41.0%
1439 1
 
0.5%
723 1
 
0.5%
121 1
 
0.5%
361 1
 
0.5%
484 1
 
0.5%
598 1
 
0.5%
62 1
 
0.5%
1256 1
 
0.5%
Other values (15) 15
 
8.0%
ValueCountFrequency (%)
0 77
41.0%
3 1
 
0.5%
62 1
 
0.5%
80 1
 
0.5%
121 1
 
0.5%
179 1
 
0.5%
358 1
 
0.5%
361 1
 
0.5%
477 1
 
0.5%
483 1
 
0.5%
ValueCountFrequency (%)
1440 88
46.8%
1439 1
 
0.5%
1435 1
 
0.5%
1290 1
 
0.5%
1256 1
 
0.5%
1083 1
 
0.5%
1078 1
 
0.5%
1017 1
 
0.5%
983 1
 
0.5%
890 1
 
0.5%

1 첨두부하보일러(so).1
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461.60106
Minimum0
Maximum1440
Zeros120
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:18:01.164636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31440
95-th percentile1440
Maximum1440
Range1440
Interquartile range (IQR)1440

Descriptive statistics

Standard deviation654.98854
Coefficient of variation (CV)1.4189494
Kurtosis-1.3876353
Mean461.60106
Median Absolute Deviation (MAD)0
Skewness0.76427981
Sum86781
Variance429009.98
MonotonicityNot monotonic
2023-12-13T05:18:01.294860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 120
63.8%
1440 49
26.1%
101 1
 
0.5%
1164 1
 
0.5%
105 1
 
0.5%
1147 1
 
0.5%
361 1
 
0.5%
451 1
 
0.5%
965 1
 
0.5%
1072 1
 
0.5%
Other values (11) 11
 
5.9%
ValueCountFrequency (%)
0 120
63.8%
2 1
 
0.5%
101 1
 
0.5%
105 1
 
0.5%
138 1
 
0.5%
361 1
 
0.5%
451 1
 
0.5%
463 1
 
0.5%
887 1
 
0.5%
965 1
 
0.5%
ValueCountFrequency (%)
1440 49
26.1%
1435 1
 
0.5%
1362 1
 
0.5%
1361 1
 
0.5%
1357 1
 
0.5%
1309 1
 
0.5%
1290 1
 
0.5%
1251 1
 
0.5%
1164 1
 
0.5%
1147 1
 
0.5%

2 첨두부하보일러(so).1
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273.03723
Minimum0
Maximum1440
Zeros141
Zeros (%)75.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:18:01.411898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314.75
95-th percentile1440
Maximum1440
Range1440
Interquartile range (IQR)14.75

Descriptive statistics

Standard deviation538.06591
Coefficient of variation (CV)1.9706686
Kurtosis0.66731213
Mean273.03723
Median Absolute Deviation (MAD)0
Skewness1.5909539
Sum51331
Variance289514.92
MonotonicityNot monotonic
2023-12-13T05:18:01.520917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 141
75.0%
1440 28
 
14.9%
897 2
 
1.1%
627 1
 
0.5%
122 1
 
0.5%
1078 1
 
0.5%
222 1
 
0.5%
1154 1
 
0.5%
92 1
 
0.5%
77 1
 
0.5%
Other values (10) 10
 
5.3%
ValueCountFrequency (%)
0 141
75.0%
59 1
 
0.5%
70 1
 
0.5%
77 1
 
0.5%
92 1
 
0.5%
99 1
 
0.5%
122 1
 
0.5%
144 1
 
0.5%
222 1
 
0.5%
549 1
 
0.5%
ValueCountFrequency (%)
1440 28
14.9%
1368 1
 
0.5%
1154 1
 
0.5%
1145 1
 
0.5%
1078 1
 
0.5%
907 1
 
0.5%
898 1
 
0.5%
897 2
 
1.1%
627 1
 
0.5%
606 1
 
0.5%

3 첨두부하보일러(wgLFG)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean659.77128
Minimum0
Maximum1440
Zeros92
Zeros (%)48.9%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:18:01.640977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median180.5
Q31440
95-th percentile1440
Maximum1440
Range1440
Interquartile range (IQR)1440

Descriptive statistics

Standard deviation690.12183
Coefficient of variation (CV)1.0460016
Kurtosis-1.9164056
Mean659.77128
Median Absolute Deviation (MAD)180.5
Skewness0.17022278
Sum124037
Variance476268.15
MonotonicityNot monotonic
2023-12-13T05:18:01.759679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 92
48.9%
1440 77
41.0%
780 1
 
0.5%
600 1
 
0.5%
824 1
 
0.5%
731 1
 
0.5%
885 1
 
0.5%
542 1
 
0.5%
429 1
 
0.5%
301 1
 
0.5%
Other values (11) 11
 
5.9%
ValueCountFrequency (%)
0 92
48.9%
152 1
 
0.5%
180 1
 
0.5%
181 1
 
0.5%
301 1
 
0.5%
429 1
 
0.5%
520 1
 
0.5%
542 1
 
0.5%
600 1
 
0.5%
731 1
 
0.5%
ValueCountFrequency (%)
1440 77
41.0%
1345 1
 
0.5%
1214 1
 
0.5%
1058 1
 
0.5%
954 1
 
0.5%
887 1
 
0.5%
885 1
 
0.5%
824 1
 
0.5%
811 1
 
0.5%
780 1
 
0.5%

4 첨두부하보일러(wg LFG)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean721.70745
Minimum0
Maximum1440
Zeros85
Zeros (%)45.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-13T05:18:01.881457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median751
Q31440
95-th percentile1440
Maximum1440
Range1440
Interquartile range (IQR)1440

Descriptive statistics

Standard deviation694.35745
Coefficient of variation (CV)0.96210376
Kurtosis-1.955281
Mean721.70745
Median Absolute Deviation (MAD)689
Skewness-0.0094851206
Sum135681
Variance482132.26
MonotonicityNot monotonic
2023-12-13T05:18:02.006608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 85
45.2%
1440 82
43.6%
179 1
 
0.5%
542 1
 
0.5%
685 1
 
0.5%
682 1
 
0.5%
1281 1
 
0.5%
1057 1
 
0.5%
228 1
 
0.5%
618 1
 
0.5%
Other values (13) 13
 
6.9%
ValueCountFrequency (%)
0 85
45.2%
179 1
 
0.5%
183 1
 
0.5%
228 1
 
0.5%
360 1
 
0.5%
542 1
 
0.5%
563 1
 
0.5%
618 1
 
0.5%
682 1
 
0.5%
685 1
 
0.5%
ValueCountFrequency (%)
1440 82
43.6%
1420 1
 
0.5%
1390 1
 
0.5%
1355 1
 
0.5%
1290 1
 
0.5%
1281 1
 
0.5%
1227 1
 
0.5%
1057 1
 
0.5%
1017 1
 
0.5%
993 1
 
0.5%

Sample

일자1 첨두부하보일러(so)2 첨두부하보일러(so)1 첨두부하보일러(wg)2 첨두부하보일러(wg)3 첨두부하보일러(wg)소각로1 첨두부하보일러(wg).1모드4가스터빈1에코 1에코 2가스터빈1.11 첨두부하보일러(wg).22 첨두부하보일러(wg).1에코 1.1에코 2.11 첨두부하보일러(wg).32 첨두부하보일러(wg).2스팀터빈1 첨두부하보일러(so).12 첨두부하보일러(so).13 첨두부하보일러(wgLFG)4 첨두부하보일러(wg LFG)
02023-01-010017342014400899144014401440144000144014400014391440144001440
12023-01-0200358546014400950144014401440144011144014400014401440144001440
22023-01-03005450379144009981440144014401440297311144014400014401440144001440
32023-01-04000093314400602144014401440144000144014400014401440001440
42023-01-050000974144000144014401440144000144014400014401440001440
52023-01-06000360571144000144014401440144000144014400014401440001440
62023-01-070031533901440001440144014401440001440144000144014409901440
72023-01-08002200144000144014401440144000144014400014401440144001440
82023-01-090000014400014401440144014400014401440001290129062701290
92023-01-1000000144000144014401440144000144014400014401440001440
일자1 첨두부하보일러(so)2 첨두부하보일러(so)1 첨두부하보일러(wg)2 첨두부하보일러(wg)3 첨두부하보일러(wg)소각로1 첨두부하보일러(wg).1모드4가스터빈1에코 1에코 2가스터빈1.11 첨두부하보일러(wg).22 첨두부하보일러(wg).1에코 1.1에코 2.11 첨두부하보일러(wg).32 첨두부하보일러(wg).2스팀터빈1 첨두부하보일러(so).12 첨두부하보일러(so).13 첨두부하보일러(wgLFG)4 첨두부하보일러(wg LFG)
1782023-06-28000001440007197527509900010289900000001440
1792023-06-2900000144000650691678105600111610690000001440
1802023-06-3000000144000719749749107900113210860000001440
1812023-07-0100000144000000660006976920000001440
1822023-07-0200000144000000000220000001440
1832023-07-03000001440008909169109780010379930000001440
1842023-07-04000001440006797067049370010079700000001440
1852023-07-0500000144000104910661065993001062101600000824542
1862023-07-0600000144000107911461125105000110210580000014400
1872023-07-0700000600000015916100220177000006000