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PLTU Dataset

Overview

Brought to you by YData

Dataset statistics

Number of variables9
Number of observations280
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.8 KiB
Average record size in memory72.5 B

Variable types

Numeric9

Alerts

Suhu Uap Boiler is highly overall correlated with Temperatur Inlet TurbinHigh correlation
Tekanan Outlet Turbin (bar) is highly overall correlated with Tekanan Uap Boiler (bar) and 3 other fieldsHigh correlation
Tekanan Uap Boiler (bar) is highly overall correlated with Tekanan Outlet Turbin (bar) and 1 other fieldsHigh correlation
Temperatur Inlet Turbin is highly overall correlated with Suhu Uap BoilerHigh correlation
Temperatur Outlet Turbin is highly overall correlated with Tekanan Outlet Turbin (bar)High correlation
V gas (L/h) is highly overall correlated with Tekanan Outlet Turbin (bar) and 1 other fieldsHigh correlation
output generator (Watt) is highly overall correlated with Tekanan Outlet Turbin (bar) and 2 other fieldsHigh correlation
Tekanan Uap Boiler (bar) has unique values Unique
Suhu Uap Boiler has unique values Unique
V gas (L/h) has unique values Unique
RPM Turbin has unique values Unique
Temperatur Inlet Turbin has unique values Unique
Temperatur Outlet Turbin has unique values Unique
Tekanan Inlet Turbin (bar) has unique values Unique
Tekanan Outlet Turbin (bar) has unique values Unique

Reproduction

Analysis started2025-07-26 07:22:03.783176
Analysis finished2025-07-26 07:22:07.689815
Duration3.91 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Tekanan Uap Boiler (bar)
Real number (ℝ)

High correlation  Unique 

Distinct280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9249346
Minimum3.6499344
Maximum4.2356782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2025-07-26T14:22:07.731700image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum3.6499344
5-th percentile3.6847912
Q13.7621156
median3.9858061
Q34.0111505
95-th percentile4.1981308
Maximum4.2356782
Range0.58574378
Interquartile range (IQR)0.24903489

Descriptive statistics

Standard deviation0.16429022
Coefficient of variation (CV)0.041858079
Kurtosis-1.0231609
Mean3.9249346
Median Absolute Deviation (MAD)0.12050529
Skewness-0.064211813
Sum1098.9817
Variance0.026991277
MonotonicityNot monotonic
2025-07-26T14:22:07.793410image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.007519167 1
 
0.4%
4.011434774 1
 
0.4%
3.7184462 1
 
0.4%
4.199901311 1
 
0.4%
4.064836164 1
 
0.4%
3.818678971 1
 
0.4%
3.999097129 1
 
0.4%
3.686658339 1
 
0.4%
3.98791087 1
 
0.4%
3.992475283 1
 
0.4%
Other values (270) 270
96.4%
ValueCountFrequency (%)
3.649934368 1
0.4%
3.651326986 1
0.4%
3.655513303 1
0.4%
3.655954863 1
0.4%
3.658381801 1
0.4%
3.660939541 1
0.4%
3.661222787 1
0.4%
3.671744641 1
0.4%
3.677083575 1
0.4%
3.678085071 1
0.4%
ValueCountFrequency (%)
4.23567815 1
0.4%
4.229401337 1
0.4%
4.223171601 1
0.4%
4.216495437 1
0.4%
4.214867696 1
0.4%
4.214438825 1
0.4%
4.212826115 1
0.4%
4.209943422 1
0.4%
4.207666975 1
0.4%
4.204216084 1
0.4%

Suhu Uap Boiler
Real number (ℝ)

High correlation  Unique 

Distinct280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.0167
Minimum143.22655
Maximum151.85736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2025-07-26T14:22:07.854831image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum143.22655
5-th percentile143.82083
Q1145.61933
median148.51726
Q3150.61163
95-th percentile151.31706
Maximum151.85736
Range8.6308057
Interquartile range (IQR)4.9922988

Descriptive statistics

Standard deviation2.630536
Coefficient of variation (CV)0.017771886
Kurtosis-1.3833428
Mean148.0167
Median Absolute Deviation (MAD)2.4198171
Skewness-0.26529051
Sum41444.677
Variance6.9197195
MonotonicityNot monotonic
2025-07-26T14:22:07.917374image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
145.8433743 1
 
0.4%
145.6735946 1
 
0.4%
143.8265151 1
 
0.4%
149.3376676 1
 
0.4%
147.8776588 1
 
0.4%
144.8879485 1
 
0.4%
151.0794781 1
 
0.4%
149.9363211 1
 
0.4%
150.9391405 1
 
0.4%
145.5437842 1
 
0.4%
Other values (270) 270
96.4%
ValueCountFrequency (%)
143.2265529 1
0.4%
143.4032603 1
0.4%
143.432134 1
0.4%
143.5708027 1
0.4%
143.598112 1
0.4%
143.6193607 1
0.4%
143.6634004 1
0.4%
143.6676929 1
0.4%
143.670746 1
0.4%
143.6729756 1
0.4%
ValueCountFrequency (%)
151.8573586 1
0.4%
151.6887464 1
0.4%
151.6445397 1
0.4%
151.6037477 1
0.4%
151.5240934 1
0.4%
151.5215968 1
0.4%
151.4974517 1
0.4%
151.4953548 1
0.4%
151.4704685 1
0.4%
151.3928149 1
0.4%

V gas (L/h)
Real number (ℝ)

High correlation  Unique 

Distinct280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.3773
Minimum49.739161
Maximum51.147977
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2025-07-26T14:22:07.975147image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum49.739161
5-th percentile49.876519
Q149.9811
median50.062755
Q350.984318
95-th percentile51.084298
Maximum51.147977
Range1.4088158
Interquartile range (IQR)1.0032181

Descriptive statistics

Standard deviation0.50062715
Coefficient of variation (CV)0.0099375543
Kurtosis-1.6750889
Mean50.3773
Median Absolute Deviation (MAD)0.1446145
Skewness0.47525471
Sum14105.644
Variance0.25062755
MonotonicityNot monotonic
2025-07-26T14:22:08.047053image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51.10575589 1
 
0.4%
50.96652353 1
 
0.4%
50.10461109 1
 
0.4%
50.90115481 1
 
0.4%
49.952418 1
 
0.4%
49.94739889 1
 
0.4%
50.01671284 1
 
0.4%
50.06868757 1
 
0.4%
51.04646667 1
 
0.4%
51.13461654 1
 
0.4%
Other values (270) 270
96.4%
ValueCountFrequency (%)
49.73916068 1
0.4%
49.74481737 1
0.4%
49.76641655 1
0.4%
49.77306433 1
0.4%
49.79932902 1
0.4%
49.81393756 1
0.4%
49.81430923 1
0.4%
49.82480899 1
0.4%
49.84387754 1
0.4%
49.84631919 1
0.4%
ValueCountFrequency (%)
51.14797652 1
0.4%
51.14645293 1
0.4%
51.13535934 1
0.4%
51.13461654 1
0.4%
51.13288778 1
0.4%
51.12947044 1
0.4%
51.10575589 1
0.4%
51.1044256 1
0.4%
51.10166411 1
0.4%
51.09865364 1
0.4%

RPM Turbin
Real number (ℝ)

Unique 

Distinct280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1261.8791
Minimum1246.1925
Maximum1287.4554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2025-07-26T14:22:08.109205image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1246.1925
5-th percentile1247.6725
Q11251.5597
median1258.7377
Q31270.908
95-th percentile1285.4782
Maximum1287.4554
Range41.262928
Interquartile range (IQR)19.348254

Descriptive statistics

Standard deviation12.259
Coefficient of variation (CV)0.0097148767
Kurtosis-0.73893697
Mean1261.8791
Median Absolute Deviation (MAD)8.13832
Skewness0.71331994
Sum353326.16
Variance150.28309
MonotonicityNot monotonic
2025-07-26T14:22:08.237901image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1246.192465 1
 
0.4%
1249.450852 1
 
0.4%
1259.335644 1
 
0.4%
1276.694003 1
 
0.4%
1252.364375 1
 
0.4%
1258.306412 1
 
0.4%
1284.714001 1
 
0.4%
1248.882255 1
 
0.4%
1266.825042 1
 
0.4%
1248.613777 1
 
0.4%
Other values (270) 270
96.4%
ValueCountFrequency (%)
1246.192465 1
0.4%
1246.427565 1
0.4%
1246.531104 1
0.4%
1246.580072 1
0.4%
1246.944945 1
0.4%
1247.012758 1
0.4%
1247.148495 1
0.4%
1247.210089 1
0.4%
1247.25015 1
0.4%
1247.272184 1
0.4%
ValueCountFrequency (%)
1287.455393 1
0.4%
1286.856138 1
0.4%
1286.787914 1
0.4%
1286.644228 1
0.4%
1286.635401 1
0.4%
1286.414313 1
0.4%
1286.334186 1
0.4%
1286.310051 1
0.4%
1286.283459 1
0.4%
1286.251911 1
0.4%

Temperatur Inlet Turbin
Real number (ℝ)

High correlation  Unique 

Distinct280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.39838
Minimum109.89521
Maximum124.21726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2025-07-26T14:22:08.293833image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum109.89521
5-th percentile110.5224
Q1111.67243
median113.55467
Q3115.48858
95-th percentile122.95385
Maximum124.21726
Range14.322051
Interquartile range (IQR)3.8161553

Descriptive statistics

Standard deviation3.7197836
Coefficient of variation (CV)0.032516052
Kurtosis0.93442904
Mean114.39838
Median Absolute Deviation (MAD)1.920008
Skewness1.3181696
Sum32031.546
Variance13.83679
MonotonicityNot monotonic
2025-07-26T14:22:08.357466image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113.7515274 1
 
0.4%
114.1721741 1
 
0.4%
110.6299713 1
 
0.4%
110.6094838 1
 
0.4%
111.8058699 1
 
0.4%
112.1557811 1
 
0.4%
122.7044743 1
 
0.4%
116.2221934 1
 
0.4%
115.3091819 1
 
0.4%
113.9584875 1
 
0.4%
Other values (270) 270
96.4%
ValueCountFrequency (%)
109.895209 1
0.4%
109.9608106 1
0.4%
110.034596 1
0.4%
110.0933972 1
0.4%
110.1728725 1
0.4%
110.1797321 1
0.4%
110.2484162 1
0.4%
110.2520239 1
0.4%
110.3537214 1
0.4%
110.3688186 1
0.4%
ValueCountFrequency (%)
124.2172598 1
0.4%
124.1198671 1
0.4%
123.965208 1
0.4%
123.9420867 1
0.4%
123.9048023 1
0.4%
123.8546158 1
0.4%
123.7313169 1
0.4%
123.6845878 1
0.4%
123.4747696 1
0.4%
123.2086643 1
0.4%

Temperatur Outlet Turbin
Real number (ℝ)

High correlation  Unique 

Distinct280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.25014
Minimum96.549366
Maximum106.7195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2025-07-26T14:22:08.421393image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum96.549366
5-th percentile97.009622
Q198.023645
median100.33233
Q3101.13418
95-th percentile106.19164
Maximum106.7195
Range10.17013
Interquartile range (IQR)3.1105386

Descriptive statistics

Standard deviation2.692795
Coefficient of variation (CV)0.026860761
Kurtosis0.37594704
Mean100.25014
Median Absolute Deviation (MAD)1.6251842
Skewness0.97303452
Sum28070.039
Variance7.2511452
MonotonicityNot monotonic
2025-07-26T14:22:08.481798image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.1746242 1
 
0.4%
101.1549378 1
 
0.4%
97.39363366 1
 
0.4%
101.043056 1
 
0.4%
98.08207741 1
 
0.4%
101.2997054 1
 
0.4%
106.3349803 1
 
0.4%
97.73101735 1
 
0.4%
99.78459582 1
 
0.4%
100.7295075 1
 
0.4%
Other values (270) 270
96.4%
ValueCountFrequency (%)
96.54936606 1
0.4%
96.7206203 1
0.4%
96.72273041 1
0.4%
96.73630345 1
0.4%
96.78643025 1
0.4%
96.79115885 1
0.4%
96.80587713 1
0.4%
96.840852 1
0.4%
96.8620616 1
0.4%
96.89207958 1
0.4%
ValueCountFrequency (%)
106.7194961 1
0.4%
106.6938617 1
0.4%
106.6694234 1
0.4%
106.6622904 1
0.4%
106.5523772 1
0.4%
106.5502899 1
0.4%
106.4696286 1
0.4%
106.4333477 1
0.4%
106.4295569 1
0.4%
106.423398 1
0.4%

Tekanan Inlet Turbin (bar)
Real number (ℝ)

Unique 

Distinct280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1480994
Minimum2.9522193
Maximum3.3226211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2025-07-26T14:22:08.540354image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum2.9522193
5-th percentile2.9922139
Q13.092826
median3.1496842
Q33.2061282
95-th percentile3.3019899
Maximum3.3226211
Range0.37040183
Interquartile range (IQR)0.1133022

Descriptive statistics

Standard deviation0.090358338
Coefficient of variation (CV)0.028702505
Kurtosis-0.56887242
Mean3.1480994
Median Absolute Deviation (MAD)0.056722197
Skewness-0.13130925
Sum881.46783
Variance0.0081646293
MonotonicityNot monotonic
2025-07-26T14:22:08.605837image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.212412031 1
 
0.4%
3.199394834 1
 
0.4%
3.107056556 1
 
0.4%
3.100505604 1
 
0.4%
3.197506399 1
 
0.4%
3.089290689 1
 
0.4%
3.274829801 1
 
0.4%
2.995930316 1
 
0.4%
3.196572622 1
 
0.4%
3.185685635 1
 
0.4%
Other values (270) 270
96.4%
ValueCountFrequency (%)
2.952219297 1
0.4%
2.955248775 1
0.4%
2.962606255 1
0.4%
2.962853986 1
0.4%
2.962934891 1
0.4%
2.966894425 1
0.4%
2.967267567 1
0.4%
2.967526845 1
0.4%
2.969418615 1
0.4%
2.976850215 1
0.4%
ValueCountFrequency (%)
3.322621126 1
0.4%
3.319317359 1
0.4%
3.318282988 1
0.4%
3.317344335 1
0.4%
3.316487415 1
0.4%
3.312972812 1
0.4%
3.312837387 1
0.4%
3.312206935 1
0.4%
3.312089645 1
0.4%
3.309771593 1
0.4%

Tekanan Outlet Turbin (bar)
Real number (ℝ)

High correlation  Unique 

Distinct280
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3981125
Minimum0.15197229
Maximum0.62435131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2025-07-26T14:22:08.670743image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0.15197229
5-th percentile0.19784312
Q10.29536332
median0.39188835
Q30.4711745
95-th percentile0.61133958
Maximum0.62435131
Range0.47237902
Interquartile range (IQR)0.17581118

Descriptive statistics

Standard deviation0.13529739
Coefficient of variation (CV)0.33984713
Kurtosis-0.95343169
Mean0.3981125
Median Absolute Deviation (MAD)0.096567077
Skewness0.34191838
Sum111.4715
Variance0.018305384
MonotonicityNot monotonic
2025-07-26T14:22:08.734080image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.408009741 1
 
0.4%
0.393582018 1
 
0.4%
0.189210143 1
 
0.4%
0.608403823 1
 
0.4%
0.270944012 1
 
0.4%
0.411081834 1
 
0.4%
0.381800939 1
 
0.4%
0.283802714 1
 
0.4%
0.613072384 1
 
0.4%
0.394308062 1
 
0.4%
Other values (270) 270
96.4%
ValueCountFrequency (%)
0.151972289 1
0.4%
0.162538281 1
0.4%
0.166846466 1
0.4%
0.16757834 1
0.4%
0.176653466 1
0.4%
0.180998519 1
0.4%
0.183611592 1
0.4%
0.184256754 1
0.4%
0.186593116 1
0.4%
0.189210143 1
0.4%
ValueCountFrequency (%)
0.624351309 1
0.4%
0.623289509 1
0.4%
0.620814896 1
0.4%
0.620641152 1
0.4%
0.616856511 1
0.4%
0.616791596 1
0.4%
0.616703687 1
0.4%
0.616054481 1
0.4%
0.615856141 1
0.4%
0.615711413 1
0.4%

output generator (Watt)
Real number (ℝ)

High correlation 

Distinct56
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7372608
Minimum2.4878242
Maximum3.013541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2025-07-26T14:22:08.795203image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum2.4878242
5-th percentile2.493943
Q12.523013
median2.719136
Q32.9357478
95-th percentile3.0095802
Maximum3.013541
Range0.52571678
Interquartile range (IQR)0.41273481

Descriptive statistics

Standard deviation0.20054553
Coefficient of variation (CV)0.073265041
Kurtosis-1.5888322
Mean2.7372608
Median Absolute Deviation (MAD)0.2009957
Skewness0.12593706
Sum766.43304
Variance0.040218509
MonotonicityNot monotonic
2025-07-26T14:22:08.858602image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.013540985 5
 
1.8%
2.515027758 5
 
1.8%
2.669175676 5
 
1.8%
3.006093786 5
 
1.8%
3.001966165 5
 
1.8%
2.518229592 5
 
1.8%
2.779350239 5
 
1.8%
2.542988379 5
 
1.8%
2.493942993 5
 
1.8%
2.889691049 5
 
1.8%
Other values (46) 230
82.1%
ValueCountFrequency (%)
2.487824203 5
1.8%
2.492783455 5
1.8%
2.493942993 5
1.8%
2.495057943 5
1.8%
2.495703299 5
1.8%
2.496759814 5
1.8%
2.498780291 5
1.8%
2.500703643 5
1.8%
2.502733791 5
1.8%
2.503200509 5
1.8%
ValueCountFrequency (%)
3.013540985 5
1.8%
3.012298672 5
1.8%
3.009580211 5
1.8%
3.007884562 5
1.8%
3.006093786 5
1.8%
3.005086595 5
1.8%
3.002582959 5
1.8%
3.001966165 5
1.8%
3.00124825 5
1.8%
2.996411679 5
1.8%

Interactions

2025-07-26T14:22:07.190359image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:03.844529image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.421981image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.883068image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.303017image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.673475image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.047833image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.400106image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.843390image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:07.230483image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.011862image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.466052image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.928674image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.344748image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.715713image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.087589image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.442557image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.882830image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:07.275710image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.094550image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.576902image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.972384image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.382429image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.754795image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.123697image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.482625image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.919532image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:07.318956image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.143532image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.625268image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.048985image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.425398image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.799499image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.164956image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.595192image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.962092image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:07.357417image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.188592image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.666039image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.091053image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.460173image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.837059image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.200818image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.632480image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.996536image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:07.401652image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.243680image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.712965image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.135201image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.508477image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.881029image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.242132image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.676941image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:07.037963image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:07.439861image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.287239image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.754415image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.175965image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.554377image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.922237image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.278592image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.716277image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:07.074324image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:07.483735image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.334683image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.804423image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.220362image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.595705image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.966640image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.320837image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.760741image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:07.116385image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:07.522405image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.378159image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:04.843334image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.261118image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:05.634769image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.007469image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.361355image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:06.801601image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-07-26T14:22:07.152137image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Correlations

2025-07-26T14:22:08.903159image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
RPM TurbinSuhu Uap BoilerTekanan Inlet Turbin (bar)Tekanan Outlet Turbin (bar)Tekanan Uap Boiler (bar)Temperatur Inlet TurbinTemperatur Outlet TurbinV gas (L/h)output generator (Watt)
RPM Turbin1.0000.4260.3060.4570.3630.0200.420-0.0350.277
Suhu Uap Boiler0.4261.0000.3660.4170.3320.6340.3130.1570.221
Tekanan Inlet Turbin (bar)0.3060.3661.0000.2160.4500.3490.4300.0850.462
Tekanan Outlet Turbin (bar)0.4570.4170.2161.0000.6720.0540.6080.5270.636
Tekanan Uap Boiler (bar)0.3630.3320.4500.6721.000-0.1420.4970.4550.551
Temperatur Inlet Turbin0.0200.6340.3490.054-0.1421.0000.346-0.0750.090
Temperatur Outlet Turbin0.4200.3130.4300.6080.4970.3461.0000.0800.414
V gas (L/h)-0.0350.1570.0850.5270.455-0.0750.0801.0000.732
output generator (Watt)0.2770.2210.4620.6360.5510.0900.4140.7321.000

Missing values

2025-07-26T14:22:07.580701image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
A simple visualization of nullity by column.
2025-07-26T14:22:07.648012image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Tekanan Uap Boiler (bar)Suhu Uap BoilerV gas (L/h)RPM TurbinTemperatur Inlet TurbinTemperatur Outlet TurbinTekanan Inlet Turbin (bar)Tekanan Outlet Turbin (bar)output generator (Watt)
04.007519145.84337451.1057561246.192465113.751527101.1746243.2124120.4080103.013541
13.651327149.65898349.9929431250.163577115.89404997.6091062.9909630.3230472.515028
24.013801150.79684149.9408441285.119720122.271680105.6506933.3120900.4183142.764609
33.804785145.38571250.0532261261.681173112.719283100.7876103.0890770.3860562.554286
44.012547148.38848349.9188671252.257085111.81905498.0409383.2205730.2855052.487824
54.214868148.78745250.9536071277.929519110.425810100.9275363.0896720.5801902.920221
63.705468144.21532750.0222811258.786844110.67736196.7206203.1016300.2071302.688279
74.010924150.95672750.9838011266.103487114.63292899.9392743.1942560.5809762.995189
83.974214146.06265551.0942801246.427565113.326362101.2800993.2011240.4359403.007885
93.701931149.79709650.0092711250.404821115.64952297.5568172.9950740.3125162.498780
Tekanan Uap Boiler (bar)Suhu Uap BoilerV gas (L/h)RPM TurbinTemperatur Inlet TurbinTemperatur Outlet TurbinTekanan Inlet Turbin (bar)Tekanan Outlet Turbin (bar)output generator (Watt)
2703.730072143.43213449.7448171259.736816111.70473897.1405403.0929570.1668462.686512
2713.996918150.75909450.9698641261.875982114.103525100.2959403.2275270.6158563.009580
2723.973303145.78123051.0435831247.272184113.100062101.3614983.2007240.3920452.982328
2733.692950149.97541150.0850701251.008311115.42981197.8147432.9957530.3133922.502734
2744.012500151.11609649.9954981285.138397122.543458106.6622903.3182830.3878402.771952
2753.788867144.38715449.9144371258.737029114.308293101.5649383.0924320.4071082.524608
2763.993652148.32435049.9006561252.489532112.33679898.4014063.1866030.3425442.495703
2774.199934148.94141151.0421031275.807244110.516269101.5469273.0717210.6151932.900526
2783.717325144.11486250.0299131260.325971110.17287296.7227303.0951630.1916632.657838
2793.980546150.96687951.0986541262.848770114.73228499.7392883.2122430.5973653.005087

Report generated by YData.

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