Overview

Dataset statistics

Number of variables310
Number of observations308
Missing cells0
Missing cells (%)0.0%
Total size in memory747.1 KiB
Average record size in memory2.4 KiB

Variable types

Numeric172
DateTime2
Categorical8
Unsupported128

Alerts

MET_MaterialName has constant value "PP" Constant
MET_MaterialMoisture has constant value "0.051" Constant
LBL_NOK has constant value "0" Constant
LBL_SinkMarks has constant value "0" Constant
LBL_SprueCircle has constant value "0" Constant
LBL_Underfilled has constant value "0" Constant
LBL_StreaksLevel1 has constant value "0" Constant
LBL_StreaksLevel2 has constant value "0" Constant
LBL_StreaksLevel3 has constant value "0" Constant
TCE_ActualProcessPowerMean has constant value "0.5" Constant
TCE_ActualPumpPowerMean has constant value "0.5" Constant
TCE_ActualPumpSpeedRPMMean has constant value "2950.0" Constant
TCE_ActualPumpSpeedMean has constant value "100.0" Constant
TCN_ActualPumpSpeedRPMMean has constant value "2950.0" Constant
TCN_ActualPumpSpeedMean has constant value "100.0" Constant
DXP_HoldingTime1 has constant value "36" Constant
CV_Image1Name has a high cardinality: 308 distinct values High cardinality
CV_Image2Name has a high cardinality: 308 distinct values High cardinality
CV_Image3Name has a high cardinality: 308 distinct values High cardinality
CV_Image4Name has a high cardinality: 308 distinct values High cardinality
IR_Image1Name has a high cardinality: 308 distinct values High cardinality
IR_Image2Name has a high cardinality: 308 distinct values High cardinality
MET_JobCycleID has unique values Unique
MET_MachineCycleID has unique values Unique
MET_TimeCycleStart has unique values Unique
MET_TimeCycleEnd has unique values Unique
CV_Image1Name has unique values Unique
CV_Image2Name has unique values Unique
CV_Width3 has unique values Unique
CV_Image3Name has unique values Unique
CV_Image4Name has unique values Unique
IR_Image1Name has unique values Unique
IR_Image2Name has unique values Unique
E77_MachineCycleCounter_global has unique values Unique
TCE_ActualProcessPower is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCE_ActualPumpPower is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCE_ActualPumpSpeedRPM is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCE_ActualFlowRate is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCE_PressureMainLine is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCE_PressureReturnLine is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCE_ActualPumpSpeed is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCE_ActualTemperatureDifference is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCE_TemperatureMainLine is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCE_TemperatureReturnLine is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCE_SetTemperature is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCN_ActualProcessPower is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCN_ActualPumpPower is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCN_ActualPumpSpeedRPM is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCN_ActualFlowRate is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCN_PressureMainLine is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCN_PressureReturnLine is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCN_ActualPumpSpeed is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCN_ActualTemperatureDifference is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCN_TemperatureMainLine is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCN_TemperatureReturnLine is an unsupported type, check if it needs cleaning or further analysis Unsupported
TCN_SetTemperature is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1PrsAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1VelAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1PosAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1RpmAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_MldCavPrs1Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_ClpVelAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_ClpPosAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_ClpFceAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Eje1VelAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Eje1PosAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inju1PosAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inju1VelAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Pmp1VolSet is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Pmp1PrsSet is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Pmp1PrsAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_DriveSiePmpTrqAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_DriveSiePlst1TrqAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1PlstTrqAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_ClpMldAdjAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inju1U4000VelSet is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Counter2Counter2Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Parameter_int32_1_Set is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Parameter_int32_2_Set is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Parameter_int16_1_Set is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Parameter_int16_2_Set is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Parameter_int16_3_Set is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Alarm_int32_Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Step_int32_Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Parameter_int32_Option is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Mux1Tmp_1_16TmpMux is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Mux2Tmp_1_16TmpMux is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_PumpValve1Set is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_EjeValve1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1Valve1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_T_Inj1BrlHtgBit1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Pump2ServoIxtAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Pump11ServoSpeed is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Pump11ServoTrqAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_TrigClpCls is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_TrigClpOpn is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_TrigInj1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_TrigHld1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_TrigPlst1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_TrigInj1Dcmp1 is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_TrigInj1Dcmp2 is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_TrigCool is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_TrigClpCfb is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_TrigClpCfr is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_TrigEje1Fwd is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_TrigEje1Rew is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_TrigInju1Fwd is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_TrigInju1Rew is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1VelVolAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1PosVolAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1HopTmpAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1HtgTmp1Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1HtgTmp2Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1HtgTmp3Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1HtgTmp4Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1HtgTmp11Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1HopEdAct is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1HtgEd1Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1HtgEd2Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1HtgEd3Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1HtgEd4Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_Inj1HtgEd11Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_MldHtg1Tmp1Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_MldHtg1Tmp2Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DXP_OilTmp1Act is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT101_acAirFlow is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT101_acDryingTime is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT101_acSensorMoisture is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT101_acTempDryair is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT101_acTempReturnAir is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT101_svDryingTime is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT101_svTempDryair is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT101_svTempReturnAir is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT101_svTempStandby is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT102_acAirFlow is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT102_acDryingTime is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT102_acSensorMoisture is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT102_acTempDryair is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT102_acTempReturnAir is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT102_svDryingTime is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT102_svTempDryair is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT102_svTempReturnAir is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT102_svTempStandby is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_acBatchCounter is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_acComp1DosRate is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_acComp1Percent is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_acComp1TotalWeight is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_acComp2DosRate is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_acComp2Percent is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acComp2TotalWeight is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acComp3DosRate is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acComp3Percent is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acComp3TotalWeight is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acComp4DosRate is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acComp4Percent is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acComp4TotalWeight is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acDessicantBedCycleTime is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acDryCircuitDewPoint is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acRegCircuitInletTemp is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acTotalWeight is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acWeight is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_svBatchWeight is an unsupported type, check if it needs cleaning or further analysis Unsupported
LBL_NOK has 308 (100.0%) zeros Zeros
LBL_SinkMarks has 308 (100.0%) zeros Zeros
LBL_SprueCircle has 308 (100.0%) zeros Zeros
LBL_Underfilled has 308 (100.0%) zeros Zeros
LBL_StreaksLevel1 has 308 (100.0%) zeros Zeros
LBL_StreaksLevel2 has 308 (100.0%) zeros Zeros
LBL_StreaksLevel3 has 308 (100.0%) zeros Zeros
LBL_OldGranulate has 305 (99.0%) zeros Zeros
LBL_BlowholesTop has 275 (89.3%) zeros Zeros
LBL_BlowholesSide has 297 (96.4%) zeros Zeros
TCE_ActualTemperatureDifferenceMean has 29 (9.4%) zeros Zeros
TCN_ActualTemperatureDifferenceMean has 38 (12.3%) zeros Zeros
E77_AverageCycleTime has 5 (1.6%) zeros Zeros
E77_BarrelTemperatureZone1 has 5 (1.6%) zeros Zeros
E77_BarrelTemperatureZone2 has 5 (1.6%) zeros Zeros
E77_BarrelTemperatureZone3 has 5 (1.6%) zeros Zeros
E77_BarrelTemperatureZone4 has 5 (1.6%) zeros Zeros
E77_BarrelTemperatureZone5 has 5 (1.6%) zeros Zeros
E77_BarrelTemperatureZone6 has 5 (1.6%) zeros Zeros
E77_CavityPressureMaximum has 4 (1.3%) zeros Zeros
E77_CushionStroke has 4 (1.3%) zeros Zeros
E77_CushionVolume has 4 (1.3%) zeros Zeros
E77_CycleTime has 5 (1.6%) zeros Zeros
E77_DecompressionVolumeAfterPlastification has 4 (1.3%) zeros Zeros
E77_DosingTime has 4 (1.3%) zeros Zeros
E77_JobGoodPartsCounter has 78 (25.3%) zeros Zeros
E77_JobPartsCounter has 63 (20.5%) zeros Zeros

Reproduction

Analysis started2023-02-03 15:01:24.555243
Analysis finished2023-02-03 15:02:56.578205
Duration1 minute and 32.02 seconds
Software versionpandas-profiling v3.4.0
Download configurationconfig.json

Variables

MET_JobCycleID
Real number (ℝ≥0)

UNIQUE

Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4917.607143
Minimum4496
Maximum5380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2023-02-03T16:02:56.861078image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum4496
5-th percentile4523.35
Q14697.5
median4905
Q35139.25
95-th percentile5338.65
Maximum5380
Range884
Interquartile range (IQR)441.75

Descriptive statistics

Standard deviation264.7449234
Coefficient of variation (CV)0.05383612715
Kurtosis-1.201420528
Mean4917.607143
Median Absolute Deviation (MAD)231
Skewness0.1088037969
Sum1514623
Variance70089.87448
MonotonicityStrictly increasing
2023-02-03T16:02:56.973665image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44961
 
0.3%
50421
 
0.3%
50851
 
0.3%
50841
 
0.3%
50471
 
0.3%
50461
 
0.3%
50451
 
0.3%
50441
 
0.3%
50431
 
0.3%
50411
 
0.3%
Other values (298)298
96.8%
ValueCountFrequency (%)
44961
0.3%
44971
0.3%
44981
0.3%
44991
0.3%
45001
0.3%
ValueCountFrequency (%)
53801
0.3%
53791
0.3%
53781
0.3%
53771
0.3%
53761
0.3%

MET_MachineCycleID
Real number (ℝ≥0)

UNIQUE

Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29639.60714
Minimum29218
Maximum30102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:57.065817image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum29218
5-th percentile29245.35
Q129419.5
median29627
Q329861.25
95-th percentile30060.65
Maximum30102
Range884
Interquartile range (IQR)441.75

Descriptive statistics

Standard deviation264.7449234
Coefficient of variation (CV)0.008932133349
Kurtosis-1.201420528
Mean29639.60714
Median Absolute Deviation (MAD)231
Skewness0.1088037969
Sum9128999
Variance70089.87448
MonotonicityStrictly increasing
2023-02-03T16:02:57.176221image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
292181
 
0.3%
297641
 
0.3%
298071
 
0.3%
298061
 
0.3%
297691
 
0.3%
297681
 
0.3%
297671
 
0.3%
297661
 
0.3%
297651
 
0.3%
297631
 
0.3%
Other values (298)298
96.8%
ValueCountFrequency (%)
292181
0.3%
292191
0.3%
292201
0.3%
292211
0.3%
292221
0.3%
ValueCountFrequency (%)
301021
0.3%
301011
0.3%
301001
0.3%
300991
0.3%
300981
0.3%
Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2022-11-02 08:54:06
Maximum2022-11-03 17:33:24
2023-02-03T16:02:57.282228image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2023-02-03T16:02:57.393135image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2022-11-02 08:55:07
Maximum2022-11-03 17:34:23
2023-02-03T16:02:57.495847image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2023-02-03T16:02:57.608240image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct28
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
A01-H
 
11
A02-H
 
11
A27-H
 
11
A26-H
 
11
A25-H
 
11
Other values (23)
253 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA01-H
2nd rowA01-H
3rd rowA01-H
4th rowA01-H
5th rowA01-H

Common Values

ValueCountFrequency (%)
A01-H11
 
3.6%
A02-H11
 
3.6%
A27-H11
 
3.6%
A26-H11
 
3.6%
A25-H11
 
3.6%
A24-H11
 
3.6%
A23-H11
 
3.6%
A22-H11
 
3.6%
A21-H11
 
3.6%
A20-H11
 
3.6%
Other values (18)198
64.3%

MET_MaterialName
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
PP
308 

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
PP308
100.0%

Category Frequency Plot

2023-02-03T16:02:57.721109image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

SCA_PartWeight
Real number (ℝ≥0)

Distinct106
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.52237013
Minimum97.25
Maximum99.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:57.801035image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum97.25
5-th percentile97.33
Q197.895
median98.565
Q399.1625
95-th percentile99.6965
Maximum99.76
Range2.51
Interquartile range (IQR)1.2675

Descriptive statistics

Standard deviation0.7371270267
Coefficient of variation (CV)0.007481823932
Kurtosis-1.251952407
Mean98.52237013
Median Absolute Deviation (MAD)0.63
Skewness-0.153643062
Sum30344.89
Variance0.5433562534
MonotonicityNot monotonic
2023-02-03T16:02:57.895025image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.769
 
2.9%
97.758
 
2.6%
998
 
2.6%
99.247
 
2.3%
98.997
 
2.3%
99.127
 
2.3%
98.017
 
2.3%
99.216
 
1.9%
99.36
 
1.9%
98.286
 
1.9%
Other values (96)237
76.9%
ValueCountFrequency (%)
97.251
 
0.3%
97.261
 
0.3%
97.273
1.0%
97.281
 
0.3%
97.293
1.0%
ValueCountFrequency (%)
99.762
 
0.6%
99.751
 
0.3%
99.741
 
0.3%
99.716
1.9%
99.76
1.9%

MET_MaterialMoisture
Real number (ℝ≥0)

CONSTANT
REJECTED

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.051
Minimum0.051
Maximum0.051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:57.977483image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.051
5-th percentile0.051
Q10.051
median0.051
Q30.051
95-th percentile0.051
Maximum0.051
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.950185846 × 10-18
Coefficient of variation (CV)1.362781538 × 10-16
Kurtosis0
Mean0.051
Median Absolute Deviation (MAD)0
Skewness0
Sum15.708
Variance4.83050833 × 10-35
MonotonicityIncreasing
2023-02-03T16:02:58.043634image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0.051308
100.0%
ValueCountFrequency (%)
0.051308
100.0%
ValueCountFrequency (%)
0.051308
100.0%

SET_CylinderTemperature
Real number (ℝ≥0)

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238.5714286
Minimum220
Maximum260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:58.206921image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum220
5-th percentile220
Q1220
median240
Q3260
95-th percentile260
Maximum260
Range40
Interquartile range (IQR)40

Descriptive statistics

Standard deviation18.49125408
Coefficient of variation (CV)0.07750825063
Kurtosis-1.821411983
Mean238.5714286
Median Absolute Deviation (MAD)20
Skewness0.1424852272
Sum73480
Variance341.9264774
MonotonicityIncreasing
2023-02-03T16:02:58.273428image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
220143
46.4%
260121
39.3%
24044
 
14.3%
ValueCountFrequency (%)
220143
46.4%
24044
 
14.3%
260121
39.3%
ValueCountFrequency (%)
260121
39.3%
24044
 
14.3%
220143
46.4%

SET_ToolTemperature
Real number (ℝ≥0)

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45
Minimum30
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:58.346597image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile30
Q130
median45
Q360
95-th percentile60
Maximum60
Range30
Interquartile range (IQR)30

Descriptive statistics

Standard deviation13.90990086
Coefficient of variation (CV)0.3091089081
Kurtosis-1.84371049
Mean45
Median Absolute Deviation (MAD)15
Skewness0
Sum13860
Variance193.485342
MonotonicityNot monotonic
2023-02-03T16:02:58.418490image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
30132
42.9%
60132
42.9%
4544
 
14.3%
ValueCountFrequency (%)
30132
42.9%
4544
 
14.3%
60132
42.9%
ValueCountFrequency (%)
60132
42.9%
4544
 
14.3%
30132
42.9%

SET_InjectionSpeed
Real number (ℝ≥0)

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.71428571
Minimum40
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:58.487953image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile40
Q140
median72.5
Q3105
95-th percentile105
Maximum105
Range65
Interquartile range (IQR)65

Descriptive statistics

Standard deviation27.4592299
Coefficient of variation (CV)0.3828976281
Kurtosis-1.66188836
Mean71.71428571
Median Absolute Deviation (MAD)32.5
Skewness0.02864719205
Sum22088
Variance754.0093067
MonotonicityNot monotonic
2023-02-03T16:02:58.547078image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
40110
35.7%
10599
32.1%
8355
17.9%
6244
 
14.3%
ValueCountFrequency (%)
40110
35.7%
6244
 
14.3%
8355
17.9%
10599
32.1%
ValueCountFrequency (%)
10599
32.1%
8355
17.9%
6244
 
14.3%
40110
35.7%

SET_HoldingPressure
Real number (ℝ≥0)

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean226.7857143
Minimum150
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:58.612547image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum150
5-th percentile150
Q1150
median225
Q3300
95-th percentile300
Maximum300
Range150
Interquartile range (IQR)150

Descriptive statistics

Standard deviation63.46452129
Coefficient of variation (CV)0.2798435585
Kurtosis-1.669317551
Mean226.7857143
Median Absolute Deviation (MAD)75
Skewness-0.02766875615
Sum69850
Variance4027.745463
MonotonicityNot monotonic
2023-02-03T16:02:58.676786image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
300110
35.7%
15099
32.1%
20055
17.9%
25044
 
14.3%
ValueCountFrequency (%)
15099
32.1%
20055
17.9%
25044
 
14.3%
300110
35.7%
ValueCountFrequency (%)
300110
35.7%
25044
 
14.3%
20055
17.9%
15099
32.1%

LBL_NOK
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros308
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:58.745702image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-03T16:02:58.804594image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0308
100.0%
ValueCountFrequency (%)
0308
100.0%
ValueCountFrequency (%)
0308
100.0%

LBL_SinkMarks
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros308
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:58.868885image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-03T16:02:58.928718image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0308
100.0%
ValueCountFrequency (%)
0308
100.0%
ValueCountFrequency (%)
0308
100.0%

LBL_SprueCircle
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros308
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:59.001641image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-03T16:02:59.059861image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0308
100.0%
ValueCountFrequency (%)
0308
100.0%
ValueCountFrequency (%)
0308
100.0%

LBL_Underfilled
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros308
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:59.122419image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-03T16:02:59.174453image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0308
100.0%
ValueCountFrequency (%)
0308
100.0%
ValueCountFrequency (%)
0308
100.0%

LBL_StreaksLevel1
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros308
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:59.243750image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-03T16:02:59.297298image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0308
100.0%
ValueCountFrequency (%)
0308
100.0%
ValueCountFrequency (%)
0308
100.0%

LBL_StreaksLevel2
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros308
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:59.366560image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-03T16:02:59.428441image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0308
100.0%
ValueCountFrequency (%)
0308
100.0%
ValueCountFrequency (%)
0308
100.0%

LBL_StreaksLevel3
Real number (ℝ≥0)

CONSTANT
REJECTED
ZEROS

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros308
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:59.489606image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-02-03T16:02:59.543422image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0308
100.0%
ValueCountFrequency (%)
0308
100.0%
ValueCountFrequency (%)
0308
100.0%

LBL_OldGranulate
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00974025974
Minimum0
Maximum1
Zeros305
Zeros (%)99.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:59.612671image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.09837075419
Coefficient of variation (CV)10.09939743
Kurtosis99.30063301
Mean0.00974025974
Median Absolute Deviation (MAD)0
Skewness10.03273903
Sum3
Variance0.009676805279
MonotonicityNot monotonic
2023-02-03T16:02:59.675710image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0305
99.0%
13
 
1.0%
ValueCountFrequency (%)
0305
99.0%
13
 
1.0%
ValueCountFrequency (%)
13
 
1.0%
0305
99.0%

LBL_BlowholesTop
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1071428571
Minimum0
Maximum1
Zeros275
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:59.737749image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.309798115
Coefficient of variation (CV)2.891449073
Kurtosis4.546218365
Mean0.1071428571
Median Absolute Deviation (MAD)0
Skewness2.552790463
Sum33
Variance0.09597487203
MonotonicityNot monotonic
2023-02-03T16:02:59.805465image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0275
89.3%
133
 
10.7%
ValueCountFrequency (%)
0275
89.3%
133
 
10.7%
ValueCountFrequency (%)
133
 
10.7%
0275
89.3%

LBL_BlowholesSide
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03571428571
Minimum0
Maximum1
Zeros297
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:02:59.869354image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.185878869
Coefficient of variation (CV)5.204608331
Kurtosis23.4351703
Mean0.03571428571
Median Absolute Deviation (MAD)0
Skewness5.028223638
Sum11
Variance0.03455095393
MonotonicityNot monotonic
2023-02-03T16:02:59.932642image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0297
96.4%
111
 
3.6%
ValueCountFrequency (%)
0297
96.4%
111
 
3.6%
ValueCountFrequency (%)
111
 
3.6%
0297
96.4%

CV_Width1
Real number (ℝ≥0)

Distinct305
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.11261851
Minimum26.4542
Maximum71.6912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:00.026876image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum26.4542
5-th percentile30.704545
Q131.103875
median31.3666
Q331.61085
95-th percentile32.07281
Maximum71.6912
Range45.237
Interquartile range (IQR)0.506975

Descriptive statistics

Standard deviation6.044503285
Coefficient of variation (CV)0.1882282905
Kurtosis37.67229007
Mean32.11261851
Median Absolute Deviation (MAD)0.24625
Skewness6.178519547
Sum9890.6865
Variance36.53601997
MonotonicityNot monotonic
2023-02-03T16:03:00.123459image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.23352
 
0.6%
31.42882
 
0.6%
31.26652
 
0.6%
31.07841
 
0.3%
30.77541
 
0.3%
31.39861
 
0.3%
31.41571
 
0.3%
31.37271
 
0.3%
31.82981
 
0.3%
31.67081
 
0.3%
Other values (295)295
95.8%
ValueCountFrequency (%)
26.45421
0.3%
26.50211
0.3%
26.59711
0.3%
26.6141
0.3%
26.67071
0.3%
ValueCountFrequency (%)
71.69121
0.3%
71.16771
0.3%
71.15711
0.3%
71.15371
0.3%
71.14881
0.3%

CV_Height1
Real number (ℝ≥0)

Distinct296
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.07971883
Minimum53.8309
Maximum54.3893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:00.344810image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum53.8309
5-th percentile53.85337
Q153.963575
median54.07575
Q354.2012
95-th percentile54.272195
Maximum54.3893
Range0.5584
Interquartile range (IQR)0.237625

Descriptive statistics

Standard deviation0.1348052775
Coefficient of variation (CV)0.002492714097
Kurtosis-1.216407541
Mean54.07971883
Median Absolute Deviation (MAD)0.12605
Skewness-0.13671087
Sum16656.5534
Variance0.01817246284
MonotonicityNot monotonic
2023-02-03T16:03:00.441457image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53.90272
 
0.6%
54.2212
 
0.6%
54.02992
 
0.6%
54.172
 
0.6%
54.16792
 
0.6%
54.03412
 
0.6%
54.24272
 
0.6%
54.24032
 
0.6%
54.27332
 
0.6%
54.25162
 
0.6%
Other values (286)288
93.5%
ValueCountFrequency (%)
53.83091
0.3%
53.83631
0.3%
53.84031
0.3%
53.84251
0.3%
53.84591
0.3%
ValueCountFrequency (%)
54.38931
0.3%
54.29371
0.3%
54.29051
0.3%
54.28551
0.3%
54.28341
0.3%

CV_Image1Name
Categorical

HIGH CARDINALITY
UNIQUE

Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Frontal_30697.bmp
 
1
Frontal_31070.bmp
 
1
Frontal_31086.bmp
 
1
Frontal_31085.bmp
 
1
Frontal_31075.bmp
 
1
Other values (303)
303 

Unique

Unique308 ?
Unique (%)100.0%

Sample

1st rowFrontal_30697.bmp
2nd rowFrontal_30698.bmp
3rd rowFrontal_30699.bmp
4th rowFrontal_30700.bmp
5th rowFrontal_30701.bmp

Common Values

ValueCountFrequency (%)
Frontal_30697.bmp1
 
0.3%
Frontal_31070.bmp1
 
0.3%
Frontal_31086.bmp1
 
0.3%
Frontal_31085.bmp1
 
0.3%
Frontal_31075.bmp1
 
0.3%
Frontal_31074.bmp1
 
0.3%
Frontal_31073.bmp1
 
0.3%
Frontal_31072.bmp1
 
0.3%
Frontal_31071.bmp1
 
0.3%
Frontal_31069.bmp1
 
0.3%
Other values (298)298
96.8%

CV_Width2
Real number (ℝ≥0)

Distinct302
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.52470065
Minimum28.2942
Maximum39.7542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:00.550611image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum28.2942
5-th percentile28.82453
Q139.212425
median39.41225
Q339.53425
95-th percentile39.65339
Maximum39.7542
Range11.46
Interquartile range (IQR)0.321825

Descriptive statistics

Standard deviation2.908947995
Coefficient of variation (CV)0.07550864629
Kurtosis7.46627674
Mean38.52470065
Median Absolute Deviation (MAD)0.1546
Skewness-3.055370492
Sum11865.6078
Variance8.461978435
MonotonicityNot monotonic
2023-02-03T16:03:00.657921image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.50792
 
0.6%
39.39652
 
0.6%
39.50492
 
0.6%
39.49462
 
0.6%
39.49442
 
0.6%
39.42852
 
0.6%
39.56231
 
0.3%
39.6531
 
0.3%
39.49971
 
0.3%
39.51991
 
0.3%
Other values (292)292
94.8%
ValueCountFrequency (%)
28.29421
0.3%
28.38991
0.3%
28.49391
0.3%
28.54051
0.3%
28.56091
0.3%
ValueCountFrequency (%)
39.75421
0.3%
39.74811
0.3%
39.73211
0.3%
39.71171
0.3%
39.71011
0.3%

CV_Height2
Real number (ℝ≥0)

Distinct300
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.69692435
Minimum54.0975
Maximum55.1168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:00.765579image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum54.0975
5-th percentile54.20519
Q154.503225
median54.73885
Q354.9598
95-th percentile55.09203
Maximum55.1168
Range1.0193
Interquartile range (IQR)0.456575

Descriptive statistics

Standard deviation0.2772863151
Coefficient of variation (CV)0.005069504701
Kurtosis-1.040841065
Mean54.69692435
Median Absolute Deviation (MAD)0.22125
Skewness-0.3690297084
Sum16846.6527
Variance0.07688770055
MonotonicityNot monotonic
2023-02-03T16:03:00.861631image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54.72582
 
0.6%
54.9812
 
0.6%
54.61232
 
0.6%
54.36762
 
0.6%
54.61982
 
0.6%
54.61262
 
0.6%
54.95042
 
0.6%
54.94852
 
0.6%
54.20311
 
0.3%
54.83461
 
0.3%
Other values (290)290
94.2%
ValueCountFrequency (%)
54.09751
0.3%
54.12161
0.3%
54.17651
0.3%
54.19071
0.3%
54.19211
0.3%
ValueCountFrequency (%)
55.11681
0.3%
55.11621
0.3%
55.11591
0.3%
55.11581
0.3%
55.11531
0.3%

CV_Height2Small
Real number (ℝ≥0)

Distinct287
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.07690747
Minimum12.9
Maximum13.2343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:00.963006image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum12.9
5-th percentile12.96447
Q113.02525
median13.0852
Q313.1302
95-th percentile13.1821
Maximum13.2343
Range0.3343
Interquartile range (IQR)0.10495

Descriptive statistics

Standard deviation0.06921349854
Coefficient of variation (CV)0.005292803265
Kurtosis-0.715163925
Mean13.07690747
Median Absolute Deviation (MAD)0.0527
Skewness-0.160051596
Sum4027.6875
Variance0.004790508381
MonotonicityNot monotonic
2023-02-03T16:03:01.065315image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.0843
 
1.0%
13.0872
 
0.6%
13.14452
 
0.6%
13.15382
 
0.6%
13.08532
 
0.6%
13.0862
 
0.6%
13.15332
 
0.6%
13.14722
 
0.6%
13.18212
 
0.6%
13.10742
 
0.6%
Other values (277)287
93.2%
ValueCountFrequency (%)
12.91
0.3%
12.92081
0.3%
12.92121
0.3%
12.92531
0.3%
12.93011
0.3%
ValueCountFrequency (%)
13.23431
0.3%
13.23171
0.3%
13.20731
0.3%
13.19931
0.3%
13.19361
0.3%

CV_Width2Small
Real number (ℝ≥0)

Distinct294
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.31054383
Minimum12.7639
Maximum64.3134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:01.177683image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum12.7639
5-th percentile13.00984
Q113.074175
median63.8025
Q363.901125
95-th percentile64.1542
Maximum64.3134
Range51.5495
Interquartile range (IQR)50.82695

Descriptive statistics

Standard deviation25.41688995
Coefficient of variation (CV)0.6305270913
Kurtosis-1.992181515
Mean40.31054383
Median Absolute Deviation (MAD)0.42435
Skewness-0.1438745248
Sum12415.6475
Variance646.0182948
MonotonicityNot monotonic
2023-02-03T16:03:01.277642image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63.85893
 
1.0%
64.06922
 
0.6%
13.08982
 
0.6%
63.88672
 
0.6%
63.96872
 
0.6%
63.8752
 
0.6%
63.86252
 
0.6%
63.89352
 
0.6%
63.86572
 
0.6%
13.02182
 
0.6%
Other values (284)287
93.2%
ValueCountFrequency (%)
12.76391
0.3%
12.78331
0.3%
12.78831
0.3%
12.80631
0.3%
12.81751
0.3%
ValueCountFrequency (%)
64.31341
0.3%
64.3021
0.3%
64.30161
0.3%
64.29691
0.3%
64.29241
0.3%

CV_Image2Name
Categorical

HIGH CARDINALITY
UNIQUE

Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Frontal_20738.bmp
 
1
Frontal_21111.bmp
 
1
Frontal_21127.bmp
 
1
Frontal_21126.bmp
 
1
Frontal_21116.bmp
 
1
Other values (303)
303 

Unique

Unique308 ?
Unique (%)100.0%

Sample

1st rowFrontal_20738.bmp
2nd rowFrontal_20739.bmp
3rd rowFrontal_20740.bmp
4th rowFrontal_20741.bmp
5th rowFrontal_20742.bmp

Common Values

ValueCountFrequency (%)
Frontal_20738.bmp1
 
0.3%
Frontal_21111.bmp1
 
0.3%
Frontal_21127.bmp1
 
0.3%
Frontal_21126.bmp1
 
0.3%
Frontal_21116.bmp1
 
0.3%
Frontal_21115.bmp1
 
0.3%
Frontal_21114.bmp1
 
0.3%
Frontal_21113.bmp1
 
0.3%
Frontal_21112.bmp1
 
0.3%
Frontal_21110.bmp1
 
0.3%
Other values (298)298
96.8%

CV_Width3
Real number (ℝ≥0)

UNIQUE

Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.394946299
Minimum8.86072
Maximum9.9609
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:01.382431image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum8.86072
5-th percentile8.976506
Q19.2295025
median9.40356
Q39.546805
95-th percentile9.8433575
Maximum9.9609
Range1.10018
Interquartile range (IQR)0.3173025

Descriptive statistics

Standard deviation0.235497461
Coefficient of variation (CV)0.02506639777
Kurtosis-0.2663339887
Mean9.394946299
Median Absolute Deviation (MAD)0.16535
Skewness0.1474412215
Sum2893.64346
Variance0.05545905412
MonotonicityNot monotonic
2023-02-03T16:03:01.484847image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.663081
 
0.3%
9.427881
 
0.3%
9.518011
 
0.3%
9.496421
 
0.3%
9.375141
 
0.3%
9.350191
 
0.3%
9.407081
 
0.3%
9.415821
 
0.3%
9.351
 
0.3%
9.419271
 
0.3%
Other values (298)298
96.8%
ValueCountFrequency (%)
8.860721
0.3%
8.87851
0.3%
8.881651
0.3%
8.895241
0.3%
8.904351
0.3%
ValueCountFrequency (%)
9.96091
0.3%
9.949061
0.3%
9.932031
0.3%
9.923911
0.3%
9.913351
0.3%

CV_Height3
Real number (ℝ≥0)

Distinct302
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.29161006
Minimum54.2165
Maximum76.1446
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:01.604944image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum54.2165
5-th percentile54.32681
Q154.49785
median54.59815
Q354.688775
95-th percentile75.95126
Maximum76.1446
Range21.9281
Interquartile range (IQR)0.190925

Descriptive statistics

Standard deviation8.139906445
Coefficient of variation (CV)0.1396411325
Kurtosis0.9501371801
Mean58.29161006
Median Absolute Deviation (MAD)0.0952
Skewness1.715392861
Sum17953.8159
Variance66.25807694
MonotonicityNot monotonic
2023-02-03T16:03:01.699853image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54.56412
 
0.6%
54.48622
 
0.6%
54.57012
 
0.6%
54.65692
 
0.6%
54.25562
 
0.6%
54.49132
 
0.6%
54.51861
 
0.3%
54.56211
 
0.3%
54.55511
 
0.3%
54.53821
 
0.3%
Other values (292)292
94.8%
ValueCountFrequency (%)
54.21651
0.3%
54.23721
0.3%
54.24151
0.3%
54.25481
0.3%
54.25562
0.6%
ValueCountFrequency (%)
76.14461
0.3%
76.10021
0.3%
76.06121
0.3%
76.00611
0.3%
76.00481
0.3%

CV_Diameter3
Real number (ℝ≥0)

Distinct281
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.27144646
Minimum8.79448
Maximum19.0878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:01.802115image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum8.79448
5-th percentile10.435285
Q110.4892
median10.5219
Q310.547875
95-th percentile16.99264
Maximum19.0878
Range10.29332
Interquartile range (IQR)0.058675

Descriptive statistics

Standard deviation2.095315749
Coefficient of variation (CV)0.1858959058
Kurtosis3.920288774
Mean11.27144646
Median Absolute Deviation (MAD)0.0293
Skewness2.389311862
Sum3471.60551
Variance4.390348089
MonotonicityNot monotonic
2023-02-03T16:03:01.904117image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.53583
 
1.0%
10.53172
 
0.6%
10.52182
 
0.6%
10.50122
 
0.6%
10.50142
 
0.6%
10.55362
 
0.6%
10.53252
 
0.6%
10.54042
 
0.6%
10.51452
 
0.6%
10.53032
 
0.6%
Other values (271)287
93.2%
ValueCountFrequency (%)
8.794481
0.3%
9.812031
0.3%
10.38011
0.3%
10.38471
0.3%
10.40831
0.3%
ValueCountFrequency (%)
19.08781
0.3%
18.44351
0.3%
17.7741
0.3%
17.50721
0.3%
17.38791
0.3%

CV_Image3Name
Categorical

HIGH CARDINALITY
UNIQUE

Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Frontal_10738.bmp
 
1
Frontal_11111.bmp
 
1
Frontal_11127.bmp
 
1
Frontal_11126.bmp
 
1
Frontal_11116.bmp
 
1
Other values (303)
303 

Unique

Unique308 ?
Unique (%)100.0%

Sample

1st rowFrontal_10738.bmp
2nd rowFrontal_10739.bmp
3rd rowFrontal_10740.bmp
4th rowFrontal_10741.bmp
5th rowFrontal_10742.bmp

Common Values

ValueCountFrequency (%)
Frontal_10738.bmp1
 
0.3%
Frontal_11111.bmp1
 
0.3%
Frontal_11127.bmp1
 
0.3%
Frontal_11126.bmp1
 
0.3%
Frontal_11116.bmp1
 
0.3%
Frontal_11115.bmp1
 
0.3%
Frontal_11114.bmp1
 
0.3%
Frontal_11113.bmp1
 
0.3%
Frontal_11112.bmp1
 
0.3%
Frontal_11110.bmp1
 
0.3%
Other values (298)298
96.8%

CV_Width
Real number (ℝ≥0)

Distinct301
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.92309383
Minimum97.1308
Maximum98.9167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:02.011621image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum97.1308
5-th percentile97.21377
Q197.472075
median97.89295
Q398.32565
95-th percentile98.888005
Maximum98.9167
Range1.7859
Interquartile range (IQR)0.853575

Descriptive statistics

Standard deviation0.5249101644
Coefficient of variation (CV)0.005360432803
Kurtosis-1.070045546
Mean97.92309383
Median Absolute Deviation (MAD)0.43175
Skewness0.3610182075
Sum30160.3129
Variance0.2755306806
MonotonicityNot monotonic
2023-02-03T16:03:02.111376image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.61022
 
0.6%
98.72032
 
0.6%
97.6352
 
0.6%
97.91642
 
0.6%
97.60012
 
0.6%
97.61542
 
0.6%
98.72722
 
0.6%
98.35391
 
0.3%
98.35411
 
0.3%
98.32561
 
0.3%
Other values (291)291
94.5%
ValueCountFrequency (%)
97.13081
0.3%
97.16681
0.3%
97.18011
0.3%
97.18321
0.3%
97.19271
0.3%
ValueCountFrequency (%)
98.91671
0.3%
98.9031
0.3%
98.89811
0.3%
98.89761
0.3%
98.89751
0.3%

CV_Image4Name
Categorical

HIGH CARDINALITY
UNIQUE

Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Frontal_GB0673.bmp
 
1
Frontal_GB1046.bmp
 
1
Frontal_GB1062.bmp
 
1
Frontal_GB1061.bmp
 
1
Frontal_GB1051.bmp
 
1
Other values (303)
303 

Unique

Unique308 ?
Unique (%)100.0%

Sample

1st rowFrontal_GB0673.bmp
2nd rowFrontal_GB0674.bmp
3rd rowFrontal_GB0675.bmp
4th rowFrontal_GB0676.bmp
5th rowFrontal_GB0677.bmp

Common Values

ValueCountFrequency (%)
Frontal_GB0673.bmp1
 
0.3%
Frontal_GB1046.bmp1
 
0.3%
Frontal_GB1062.bmp1
 
0.3%
Frontal_GB1061.bmp1
 
0.3%
Frontal_GB1051.bmp1
 
0.3%
Frontal_GB1050.bmp1
 
0.3%
Frontal_GB1049.bmp1
 
0.3%
Frontal_GB1048.bmp1
 
0.3%
Frontal_GB1047.bmp1
 
0.3%
Frontal_GB1045.bmp1
 
0.3%
Other values (298)298
96.8%

QUA_CycleTime
Real number (ℝ≥0)

Distinct49
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.11983766
Minimum59.2
Maximum61.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:02.217637image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum59.2
5-th percentile59.22
Q159.27
median60.02
Q361.16
95-th percentile61.22
Maximum61.52
Range2.32
Interquartile range (IQR)1.89

Descriptive statistics

Standard deviation0.8499447997
Coefficient of variation (CV)0.01413750989
Kurtosis-1.659679918
Mean60.11983766
Median Absolute Deviation (MAD)0.78
Skewness0.3370308285
Sum18516.91
Variance0.7224061625
MonotonicityNot monotonic
2023-02-03T16:03:02.312114image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
61.2121
 
6.8%
59.2218
 
5.8%
61.1515
 
4.9%
61.1614
 
4.5%
61.2214
 
4.5%
59.2313
 
4.2%
59.2513
 
4.2%
59.5312
 
3.9%
59.5712
 
3.9%
59.5611
 
3.6%
Other values (39)165
53.6%
ValueCountFrequency (%)
59.21
 
0.3%
59.2110
3.2%
59.2218
5.8%
59.2313
4.2%
59.2410
3.2%
ValueCountFrequency (%)
61.521
0.3%
61.41
0.3%
61.392
0.6%
61.382
0.6%
61.341
0.3%

QUA_InjectionTime
Real number (ℝ≥0)

Distinct12
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.136785714
Minimum1.27
Maximum3.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:02.548412image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.27
5-th percentile1.27
Q11.28
median1.835
Q33.2025
95-th percentile3.23
Maximum3.23
Range1.96
Interquartile range (IQR)1.9225

Descriptive statistics

Standard deviation0.8425784798
Coefficient of variation (CV)0.3943205321
Kurtosis-1.664962828
Mean2.136785714
Median Absolute Deviation (MAD)0.565
Skewness0.3459659942
Sum658.13
Variance0.7099384946
MonotonicityNot monotonic
2023-02-03T16:03:02.619883image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.2771
23.1%
3.2144
14.3%
3.2333
10.7%
1.2828
 
9.1%
1.5922
 
7.1%
2.0922
 
7.1%
3.1922
 
7.1%
1.5717
 
5.5%
1.5816
 
5.2%
2.111
 
3.6%
Other values (2)22
 
7.1%
ValueCountFrequency (%)
1.2771
23.1%
1.2828
 
9.1%
1.5717
 
5.5%
1.5816
 
5.2%
1.5922
 
7.1%
ValueCountFrequency (%)
3.2333
10.7%
3.2144
14.3%
3.211
 
3.6%
3.1922
7.1%
2.111
 
3.6%

QUA_PlastificationTime
Real number (ℝ≥0)

Distinct98
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.96730519
Minimum10.46
Maximum11.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:02.712446image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum10.46
5-th percentile10.56
Q110.76
median10.99
Q311.1525
95-th percentile11.4
Maximum11.61
Range1.15
Interquartile range (IQR)0.3925

Descriptive statistics

Standard deviation0.265642012
Coefficient of variation (CV)0.0242212656
Kurtosis-0.8591693473
Mean10.96730519
Median Absolute Deviation (MAD)0.205
Skewness0.1185912914
Sum3377.93
Variance0.07056567854
MonotonicityNot monotonic
2023-02-03T16:03:02.825132image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.789
 
2.9%
10.618
 
2.6%
11.17
 
2.3%
11.276
 
1.9%
11.146
 
1.9%
11.156
 
1.9%
11.096
 
1.9%
10.566
 
1.9%
11.086
 
1.9%
11.056
 
1.9%
Other values (88)242
78.6%
ValueCountFrequency (%)
10.461
0.3%
10.471
0.3%
10.512
0.6%
10.522
0.6%
10.532
0.6%
ValueCountFrequency (%)
11.611
0.3%
11.561
0.3%
11.541
0.3%
11.532
0.6%
11.512
0.6%

QUA_CushionVolume
Real number (ℝ≥0)

Distinct227
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.090292208
Minimum3.21
Maximum10.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:02.927622image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum3.21
5-th percentile3.517
Q15.86
median7.065
Q38.445
95-th percentile10.5465
Maximum10.71
Range7.5
Interquartile range (IQR)2.585

Descriptive statistics

Standard deviation2.068271457
Coefficient of variation (CV)0.2917046853
Kurtosis-0.6325463691
Mean7.090292208
Median Absolute Deviation (MAD)1.26
Skewness-0.04227946381
Sum2183.81
Variance4.27774682
MonotonicityNot monotonic
2023-02-03T16:03:03.029005image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.064
 
1.3%
3.764
 
1.3%
6.894
 
1.3%
6.854
 
1.3%
6.954
 
1.3%
7.213
 
1.0%
7.073
 
1.0%
7.233
 
1.0%
10.493
 
1.0%
7.223
 
1.0%
Other values (217)273
88.6%
ValueCountFrequency (%)
3.211
0.3%
3.221
0.3%
3.291
0.3%
3.331
0.3%
3.341
0.3%
ValueCountFrequency (%)
10.711
0.3%
10.71
0.3%
10.681
0.3%
10.672
0.6%
10.662
0.6%

QUA_InjectionPressureMax
Real number (ℝ≥0)

Distinct71
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean301.3961039
Minimum222
Maximum380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:03.131062image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum222
5-th percentile224
Q1276
median305
Q3323
95-th percentile371
Maximum380
Range158
Interquartile range (IQR)47

Descriptive statistics

Standard deviation41.93983885
Coefficient of variation (CV)0.1391518945
Kurtosis-0.5836028792
Mean301.3961039
Median Absolute Deviation (MAD)27.5
Skewness0.006712841357
Sum92830
Variance1758.950082
MonotonicityNot monotonic
2023-02-03T16:03:03.235054image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30530
 
9.7%
30628
 
9.1%
27615
 
4.9%
30412
 
3.9%
3699
 
2.9%
2227
 
2.3%
3477
 
2.3%
3086
 
1.9%
3706
 
1.9%
3676
 
1.9%
Other values (61)182
59.1%
ValueCountFrequency (%)
2227
2.3%
2235
1.6%
2245
1.6%
2263
1.0%
2271
 
0.3%
ValueCountFrequency (%)
3801
 
0.3%
3754
1.3%
3743
1.0%
3735
1.6%
3721
 
0.3%

QUA_TransferPressure
Real number (ℝ≥0)

Distinct56
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.0097403
Minimum169
Maximum263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:03.345792image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum169
5-th percentile171.35
Q1185
median204
Q3249
95-th percentile259
Maximum263
Range94
Interquartile range (IQR)64

Descriptive statistics

Standard deviation33.801633
Coefficient of variation (CV)0.1572097755
Kurtosis-1.733145152
Mean215.0097403
Median Absolute Deviation (MAD)32
Skewness0.08171398651
Sum66223
Variance1142.550393
MonotonicityNot monotonic
2023-02-03T16:03:03.447732image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25922
 
7.1%
19016
 
5.2%
23712
 
3.9%
24311
 
3.6%
17910
 
3.2%
17110
 
3.2%
2589
 
2.9%
1899
 
2.9%
1889
 
2.9%
1918
 
2.6%
Other values (46)192
62.3%
ValueCountFrequency (%)
1691
 
0.3%
1705
1.6%
17110
3.2%
1723
 
1.0%
1738
2.6%
ValueCountFrequency (%)
2633
 
1.0%
2622
 
0.6%
2613
 
1.0%
2604
 
1.3%
25922
7.1%

QUA_TransferStroke
Real number (ℝ≥0)

Distinct16
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.19285714
Minimum23.38
Maximum26.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:03.530914image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum23.38
5-th percentile23.38
Q124.315
median25.135
Q326.0725
95-th percentile26.58
Maximum26.78
Range3.4
Interquartile range (IQR)1.7575

Descriptive statistics

Standard deviation1.042867641
Coefficient of variation (CV)0.04139536995
Kurtosis-1.119898761
Mean25.19285714
Median Absolute Deviation (MAD)0.955
Skewness-0.2500751868
Sum7759.4
Variance1.087572918
MonotonicityNot monotonic
2023-02-03T16:03:03.592005image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
23.3833
10.7%
25.0933
10.7%
26.2933
10.7%
25.422
 
7.1%
23.9922
 
7.1%
2622
 
7.1%
26.5822
 
7.1%
24.0922
 
7.1%
24.8922
 
7.1%
24.5911
 
3.6%
Other values (6)66
21.4%
ValueCountFrequency (%)
23.3833
10.7%
23.9922
7.1%
24.0922
7.1%
24.3911
 
3.6%
24.5911
 
3.6%
ValueCountFrequency (%)
26.7811
 
3.6%
26.5822
7.1%
26.411
 
3.6%
26.2933
10.7%
2622
7.1%

QUA_OilTemperature
Real number (ℝ≥0)

Distinct7
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.53896104
Minimum18
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:03.669734image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile19
Q121
median22
Q323
95-th percentile23
Maximum24
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.53412058
Coefficient of variation (CV)0.07122537512
Kurtosis-0.5342311481
Mean21.53896104
Median Absolute Deviation (MAD)1
Skewness-0.6378818532
Sum6634
Variance2.353525953
MonotonicityNot monotonic
2023-02-03T16:03:03.724659image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
23101
32.8%
2266
21.4%
2156
18.2%
2036
 
11.7%
1927
 
8.8%
1813
 
4.2%
249
 
2.9%
ValueCountFrequency (%)
1813
 
4.2%
1927
8.8%
2036
11.7%
2156
18.2%
2266
21.4%
ValueCountFrequency (%)
249
 
2.9%
23101
32.8%
2266
21.4%
2156
18.2%
2036
 
11.7%

QUA_CylinderTemperature11
Real number (ℝ≥0)

Distinct13
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239.6038961
Minimum220
Maximum265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:03.804421image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum220
5-th percentile220
Q1220
median241.5
Q3261
95-th percentile262
Maximum265
Range45
Interquartile range (IQR)41

Descriptive statistics

Standard deviation18.96453705
Coefficient of variation (CV)0.07914953538
Kurtosis-1.819780672
Mean239.6038961
Median Absolute Deviation (MAD)20.5
Skewness0.1217378537
Sum73798
Variance359.6536656
MonotonicityNot monotonic
2023-02-03T16:03:03.868693image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
22086
27.9%
26152
16.9%
22151
16.6%
26236
11.7%
24223
 
7.5%
26015
 
4.9%
24111
 
3.6%
24310
 
3.2%
2226
 
1.9%
2636
 
1.9%
Other values (3)12
 
3.9%
ValueCountFrequency (%)
22086
27.9%
22151
16.6%
2226
 
1.9%
24111
 
3.6%
24223
 
7.5%
ValueCountFrequency (%)
2653
 
1.0%
2644
 
1.3%
2636
 
1.9%
26236
11.7%
26152
16.9%

QUA_CylinderTemperature04
Real number (ℝ≥0)

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238.5714286
Minimum220
Maximum260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:03.940062image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum220
5-th percentile220
Q1220
median240
Q3260
95-th percentile260
Maximum260
Range40
Interquartile range (IQR)40

Descriptive statistics

Standard deviation18.49125408
Coefficient of variation (CV)0.07750825063
Kurtosis-1.821411983
Mean238.5714286
Median Absolute Deviation (MAD)20
Skewness0.1424852272
Sum73480
Variance341.9264774
MonotonicityIncreasing
2023-02-03T16:03:04.007285image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
220143
46.4%
260121
39.3%
24044
 
14.3%
ValueCountFrequency (%)
220143
46.4%
24044
 
14.3%
260121
39.3%
ValueCountFrequency (%)
260121
39.3%
24044
 
14.3%
220143
46.4%

QUA_CylinderTemperature03
Real number (ℝ≥0)

Distinct7
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.4577922
Minimum214
Maximum255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:04.080790image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum214
5-th percentile214
Q1215
median235
Q3255
95-th percentile255
Maximum255
Range41
Interquartile range (IQR)40

Descriptive statistics

Standard deviation18.51704482
Coefficient of variation (CV)0.0793164565
Kurtosis-1.820433412
Mean233.4577922
Median Absolute Deviation (MAD)20
Skewness0.1416212417
Sum71905
Variance342.8809489
MonotonicityNot monotonic
2023-02-03T16:03:04.137773image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
215121
39.3%
255110
35.7%
23540
 
13.0%
21421
 
6.8%
25411
 
3.6%
2344
 
1.3%
2161
 
0.3%
ValueCountFrequency (%)
21421
 
6.8%
215121
39.3%
2161
 
0.3%
2344
 
1.3%
23540
 
13.0%
ValueCountFrequency (%)
255110
35.7%
25411
 
3.6%
23540
 
13.0%
2344
 
1.3%
2161
 
0.3%

QUA_CylinderTemperature02
Real number (ℝ≥0)

Distinct12
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227.775974
Minimum207
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:04.207054image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum207
5-th percentile209
Q1210
median229
Q3249
95-th percentile250
Maximum250
Range43
Interquartile range (IQR)39

Descriptive statistics

Standard deviation18.35015396
Coefficient of variation (CV)0.08056228952
Kurtosis-1.814875779
Mean227.775974
Median Absolute Deviation (MAD)20
Skewness0.1465473501
Sum70155
Variance336.7281505
MonotonicityNot monotonic
2023-02-03T16:03:04.274066image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
24979
25.6%
21070
22.7%
20961
19.8%
22932
10.4%
25026
 
8.4%
24813
 
4.2%
2089
 
2.9%
2307
 
2.3%
2284
 
1.3%
2073
 
1.0%
Other values (2)4
 
1.3%
ValueCountFrequency (%)
2073
 
1.0%
2089
 
2.9%
20961
19.8%
21070
22.7%
2271
 
0.3%
ValueCountFrequency (%)
25026
 
8.4%
24979
25.6%
24813
 
4.2%
2473
 
1.0%
2307
 
2.3%

QUA_CylinderTemperature01
Real number (ℝ≥0)

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.5714286
Minimum215
Maximum255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:04.341400image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum215
5-th percentile215
Q1215
median235
Q3255
95-th percentile255
Maximum255
Range40
Interquartile range (IQR)40

Descriptive statistics

Standard deviation18.49125408
Coefficient of variation (CV)0.07916744866
Kurtosis-1.821411983
Mean233.5714286
Median Absolute Deviation (MAD)20
Skewness0.1424852272
Sum71940
Variance341.9264774
MonotonicityIncreasing
2023-02-03T16:03:04.399135image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
215143
46.4%
255121
39.3%
23544
 
14.3%
ValueCountFrequency (%)
215143
46.4%
23544
 
14.3%
255121
39.3%
ValueCountFrequency (%)
255121
39.3%
23544
 
14.3%
215143
46.4%

QUA_FlangeTemperature
Real number (ℝ≥0)

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.92207792
Minimum49
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:04.479125image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile49
Q150
median50
Q350
95-th percentile50
Maximum51
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3334249772
Coefficient of variation (CV)0.006678908232
Kurtosis4.978543727
Mean49.92207792
Median Absolute Deviation (MAD)0
Skewness-1.40421596
Sum15376
Variance0.1111722154
MonotonicityNot monotonic
2023-02-03T16:03:04.544169image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
50272
88.3%
4930
 
9.7%
516
 
1.9%
ValueCountFrequency (%)
4930
 
9.7%
50272
88.3%
516
 
1.9%
ValueCountFrequency (%)
516
 
1.9%
50272
88.3%
4930
 
9.7%

QUA_ToolTemperature1
Real number (ℝ≥0)

Distinct11
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.19155844
Minimum37
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:04.614485image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile38
Q138.75
median52
Q366
95-th percentile67
Maximum68
Range31
Interquartile range (IQR)27.25

Descriptive statistics

Standard deviation12.85470016
Coefficient of variation (CV)0.246298454
Kurtosis-1.829421611
Mean52.19155844
Median Absolute Deviation (MAD)14
Skewness-0.001105559796
Sum16075
Variance165.2433161
MonotonicityNot monotonic
2023-02-03T16:03:04.676235image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
3866
21.4%
3955
17.9%
6554
17.5%
6753
17.2%
5232
10.4%
6624
 
7.8%
3711
 
3.6%
537
 
2.3%
544
 
1.3%
511
 
0.3%
ValueCountFrequency (%)
3711
 
3.6%
3866
21.4%
3955
17.9%
511
 
0.3%
5232
10.4%
ValueCountFrequency (%)
681
 
0.3%
6753
17.2%
6624
7.8%
6554
17.5%
544
 
1.3%

QUA_ToolTemperature2
Real number (ℝ≥0)

Distinct10
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.95779221
Minimum37
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:04.748423image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile37
Q138
median52
Q366
95-th percentile67
Maximum68
Range31
Interquartile range (IQR)28

Descriptive statistics

Standard deviation13.28789845
Coefficient of variation (CV)0.2557440932
Kurtosis-1.831094725
Mean51.95779221
Median Absolute Deviation (MAD)14
Skewness-0.009568267539
Sum16003
Variance176.5682453
MonotonicityNot monotonic
2023-02-03T16:03:04.809304image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
3766
21.4%
3853
17.2%
6750
16.2%
6645
14.6%
5233
10.7%
6532
10.4%
3913
 
4.2%
5310
 
3.2%
685
 
1.6%
541
 
0.3%
ValueCountFrequency (%)
3766
21.4%
3853
17.2%
3913
 
4.2%
5233
10.7%
5310
 
3.2%
ValueCountFrequency (%)
685
 
1.6%
6750
16.2%
6645
14.6%
6532
10.4%
541
 
0.3%

QUA_ToolClosingTime
Real number (ℝ≥0)

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.595032468
Minimum1.59
Maximum1.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:04.880571image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.59
5-th percentile1.59
Q11.59
median1.6
Q31.6
95-th percentile1.6
Maximum1.6
Range0.01
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.005008031115
Coefficient of variation (CV)0.003139767508
Kurtosis-2.012943314
Mean1.595032468
Median Absolute Deviation (MAD)0
Skewness-0.01305093272
Sum491.27
Variance2.508037565 × 10-5
MonotonicityNot monotonic
2023-02-03T16:03:04.952194image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1.6155
50.3%
1.59153
49.7%
ValueCountFrequency (%)
1.59153
49.7%
1.6155
50.3%
ValueCountFrequency (%)
1.6155
50.3%
1.59153
49.7%

QUA_ClampForceDecreaseTime
Real number (ℝ≥0)

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38
Minimum0.37
Maximum0.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:05.024769image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.37
5-th percentile0.37
Q10.38
median0.38
Q30.38
95-th percentile0.39
Maximum0.39
Range0.02
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.003785795499
Coefficient of variation (CV)0.009962619733
Kurtosis4.085438766
Mean0.38
Median Absolute Deviation (MAD)0
Skewness0
Sum117.04
Variance1.433224756 × 10-5
MonotonicityNot monotonic
2023-02-03T16:03:05.085219image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0.38264
85.7%
0.3922
 
7.1%
0.3722
 
7.1%
ValueCountFrequency (%)
0.3722
 
7.1%
0.38264
85.7%
0.3922
 
7.1%
ValueCountFrequency (%)
0.3922
 
7.1%
0.38264
85.7%
0.3722
 
7.1%

QUA_ToolOpeningTime
Real number (ℝ≥0)

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.817857143
Minimum1.8
Maximum1.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:05.164850image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.8
5-th percentile1.81
Q11.81
median1.82
Q31.82
95-th percentile1.83
Maximum1.83
Range0.03
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.007125152558
Coefficient of variation (CV)0.003919533824
Kurtosis-0.4589758222
Mean1.817857143
Median Absolute Deviation (MAD)0
Skewness0.01109848201
Sum559.9
Variance5.076779898 × 10-5
MonotonicityNot monotonic
2023-02-03T16:03:05.228853image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
1.82156
50.6%
1.81100
32.5%
1.8346
 
14.9%
1.86
 
1.9%
ValueCountFrequency (%)
1.86
 
1.9%
1.81100
32.5%
1.82156
50.6%
1.8346
 
14.9%
ValueCountFrequency (%)
1.8346
 
14.9%
1.82156
50.6%
1.81100
32.5%
1.86
 
1.9%

QUA_EjectionTime
Real number (ℝ≥0)

Distinct12
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.766720779
Minimum2.73
Maximum3.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:05.300412image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum2.73
5-th percentile2.74
Q12.75
median2.76
Q32.77
95-th percentile2.78
Maximum3.73
Range1
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.08319335014
Coefficient of variation (CV)0.03006929748
Kurtosis116.6265701
Mean2.766720779
Median Absolute Deviation (MAD)0.01
Skewness10.52122055
Sum852.15
Variance0.006921133508
MonotonicityNot monotonic
2023-02-03T16:03:05.583503image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2.7592
29.9%
2.7680
26.0%
2.7770
22.7%
2.7437
12.0%
2.7815
 
4.9%
2.824
 
1.3%
2.734
 
1.3%
2.852
 
0.6%
2.811
 
0.3%
3.731
 
0.3%
Other values (2)2
 
0.6%
ValueCountFrequency (%)
2.734
 
1.3%
2.7437
12.0%
2.7592
29.9%
2.7680
26.0%
2.7770
22.7%
ValueCountFrequency (%)
3.731
 
0.3%
3.721
 
0.3%
3.211
 
0.3%
2.852
0.6%
2.824
1.3%

QUA_InjectionUnitForwardsTime
Real number (ℝ≥0)

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1408766234
Minimum0.14
Maximum0.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:05.653122image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.14
5-th percentile0.14
Q10.14
median0.14
Q30.14
95-th percentile0.15
Maximum0.15
Range0.01
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.002832634211
Coefficient of variation (CV)0.02010719836
Kurtosis6.63005292
Mean0.1408766234
Median Absolute Deviation (MAD)0
Skewness2.93036551
Sum43.39
Variance8.023816574 × 10-6
MonotonicityNot monotonic
2023-02-03T16:03:05.721388image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0.14281
91.2%
0.1527
 
8.8%
ValueCountFrequency (%)
0.14281
91.2%
0.1527
 
8.8%
ValueCountFrequency (%)
0.1527
 
8.8%
0.14281
91.2%

QUA_InjectionUnitBackwardsTime
Real number (ℝ≥0)

Distinct8
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.604025974
Minimum0.54
Maximum0.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:05.789765image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.54
5-th percentile0.55
Q10.56
median0.63
Q30.64
95-th percentile0.67
Maximum0.68
Range0.14
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.04566582312
Coefficient of variation (CV)0.07560241626
Kurtosis-1.628435256
Mean0.604025974
Median Absolute Deviation (MAD)0.04
Skewness0.01148262296
Sum186.04
Variance0.002085367401
MonotonicityNot monotonic
2023-02-03T16:03:05.855374image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.6464
20.8%
0.6357
18.5%
0.5555
17.9%
0.6743
14.0%
0.5640
13.0%
0.5737
12.0%
0.5411
 
3.6%
0.681
 
0.3%
ValueCountFrequency (%)
0.5411
 
3.6%
0.5555
17.9%
0.5640
13.0%
0.5737
12.0%
0.6357
18.5%
ValueCountFrequency (%)
0.681
 
0.3%
0.6743
14.0%
0.6464
20.8%
0.6357
18.5%
0.5737
12.0%

QUA_TransferSpecificPressure1
Real number (ℝ≥0)

Distinct34
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.02272727
Minimum35
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:05.936088image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile38.35
Q145
median58
Q363
95-th percentile77
Maximum77
Range42
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.82979743
Coefficient of variation (CV)0.2111606843
Kurtosis-0.9195701797
Mean56.02272727
Median Absolute Deviation (MAD)8.5
Skewness0.1331198179
Sum17255
Variance139.9441072
MonotonicityNot monotonic
2023-02-03T16:03:06.026284image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
5331
 
10.1%
5927
 
8.8%
5826
 
8.4%
7718
 
5.8%
4118
 
5.8%
4515
 
4.9%
7614
 
4.5%
4012
 
3.9%
7112
 
3.9%
4411
 
3.6%
Other values (24)124
40.3%
ValueCountFrequency (%)
352
 
0.6%
366
1.9%
373
1.0%
385
1.6%
395
1.6%
ValueCountFrequency (%)
7718
5.8%
7614
4.5%
751
 
0.3%
729
2.9%
7112
3.9%

QUA_CavityPressure1Max
Real number (ℝ≥0)

Distinct59
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.0162338
Minimum80
Maximum248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:06.123251image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile83
Q1103.5
median162
Q3223.25
95-th percentile246
Maximum248
Range168
Interquartile range (IQR)119.75

Descriptive statistics

Standard deviation59.65948212
Coefficient of variation (CV)0.3593593275
Kurtosis-1.561895286
Mean166.0162338
Median Absolute Deviation (MAD)61
Skewness-0.02338765568
Sum51133
Variance3559.253807
MonotonicityNot monotonic
2023-02-03T16:03:06.222066image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22315
 
4.9%
24212
 
3.9%
10611
 
3.6%
22411
 
3.6%
10011
 
3.6%
22610
 
3.2%
8610
 
3.2%
24510
 
3.2%
13110
 
3.2%
14910
 
3.2%
Other values (49)198
64.3%
ValueCountFrequency (%)
801
 
0.3%
814
1.3%
828
2.6%
837
2.3%
842
 
0.6%
ValueCountFrequency (%)
2488
2.6%
2477
2.3%
2466
1.9%
24510
3.2%
2442
 
0.6%

QUA_AreaCavityPressure1Max
Real number (ℝ≥0)

Distinct59
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.0064935
Minimum80
Maximum248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:06.328935image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile83
Q1103.5
median162
Q3223
95-th percentile246
Maximum248
Range168
Interquartile range (IQR)119.5

Descriptive statistics

Standard deviation59.65137553
Coefficient of variation (CV)0.3593315796
Kurtosis-1.561532909
Mean166.0064935
Median Absolute Deviation (MAD)61
Skewness-0.02325650454
Sum51130
Variance3558.286603
MonotonicityNot monotonic
2023-02-03T16:03:06.426052image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22316
 
5.2%
24212
 
3.9%
10611
 
3.6%
10011
 
3.6%
20210
 
3.2%
14910
 
3.2%
14810
 
3.2%
22610
 
3.2%
8610
 
3.2%
22410
 
3.2%
Other values (49)198
64.3%
ValueCountFrequency (%)
801
 
0.3%
814
1.3%
828
2.6%
837
2.3%
842
 
0.6%
ValueCountFrequency (%)
2488
2.6%
2477
2.3%
2466
1.9%
24510
3.2%
2442
 
0.6%

QUA_AreaCavityPressure1Dr1
Real number (ℝ≥0)

Distinct270
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4611.191558
Minimum1568
Maximum8747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:06.528141image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1568
5-th percentile1814.7
Q13135.5
median4466
Q36004
95-th percentile8609.45
Maximum8747
Range7179
Interquartile range (IQR)2868.5

Descriptive statistics

Standard deviation1993.44643
Coefficient of variation (CV)0.4323061415
Kurtosis-0.6751228142
Mean4611.191558
Median Absolute Deviation (MAD)1516.5
Skewness0.4379403817
Sum1420247
Variance3973828.67
MonotonicityNot monotonic
2023-02-03T16:03:06.630152image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32864
 
1.3%
47793
 
1.0%
18143
 
1.0%
48763
 
1.0%
18873
 
1.0%
37383
 
1.0%
51812
 
0.6%
25282
 
0.6%
37312
 
0.6%
65772
 
0.6%
Other values (260)281
91.2%
ValueCountFrequency (%)
15681
0.3%
15721
0.3%
15891
0.3%
15901
0.3%
15971
0.3%
ValueCountFrequency (%)
87471
0.3%
87371
0.3%
87311
0.3%
87291
0.3%
87071
0.3%

QUA_AreaMeltPressureMax
Real number (ℝ≥0)

Distinct81
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean299.5324675
Minimum216
Maximum380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:06.742730image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum216
5-th percentile221.35
Q1274.75
median304.5
Q3321
95-th percentile370
Maximum380
Range164
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation42.24593249
Coefficient of variation (CV)0.1410395769
Kurtosis-0.5689310504
Mean299.5324675
Median Absolute Deviation (MAD)29
Skewness-0.02092253052
Sum92256
Variance1784.718812
MonotonicityNot monotonic
2023-02-03T16:03:06.854898image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30550
 
16.2%
30416
 
5.2%
27511
 
3.6%
27610
 
3.2%
2747
 
2.3%
3067
 
2.3%
3677
 
2.3%
2366
 
1.9%
3226
 
1.9%
3705
 
1.6%
Other values (71)183
59.4%
ValueCountFrequency (%)
2161
 
0.3%
2172
 
0.6%
2195
1.6%
2205
1.6%
2213
1.0%
ValueCountFrequency (%)
3801
 
0.3%
3752
0.6%
3742
0.6%
3732
0.6%
3724
1.3%

QUA_AreaMeltPressure
Real number (ℝ≥0)

Distinct164
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9503.694805
Minimum6591
Maximum12342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:06.957328image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum6591
5-th percentile6607.7
Q16783.5
median9466.5
Q312086.25
95-th percentile12337
Maximum12342
Range5751
Interquartile range (IQR)5302.75

Descriptive statistics

Standard deviation2305.663436
Coefficient of variation (CV)0.2426070579
Kurtosis-1.661954606
Mean9503.694805
Median Absolute Deviation (MAD)2625
Skewness-0.02980742635
Sum2927138
Variance5316083.88
MonotonicityNot monotonic
2023-02-03T16:03:07.049069image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123387
 
2.3%
121657
 
2.3%
84925
 
1.6%
84565
 
1.6%
84585
 
1.6%
84575
 
1.6%
67355
 
1.6%
122394
 
1.3%
123374
 
1.3%
120884
 
1.3%
Other values (154)257
83.4%
ValueCountFrequency (%)
65913
1.0%
65921
 
0.3%
65931
 
0.3%
65951
 
0.3%
65961
 
0.3%
ValueCountFrequency (%)
123421
 
0.3%
123412
 
0.6%
123404
1.3%
123391
 
0.3%
123387
2.3%

QUA_AreaPowerMax
Real number (ℝ≥0)

Distinct167
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.8115162
Minimum0.863
Maximum3436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:07.150844image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.863
5-th percentile0.88135
Q11.199
median2.1375
Q32.9055
95-th percentile3.91395
Maximum3436
Range3435.137
Interquartile range (IQR)1.7065

Descriptive statistics

Standard deviation638.2763448
Coefficient of variation (CV)5.113921888
Kurtosis23.43503489
Mean124.8115162
Median Absolute Deviation (MAD)0.9315
Skewness5.02820277
Sum38441.947
Variance407396.6923
MonotonicityNot monotonic
2023-02-03T16:03:07.254267image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343611
 
3.6%
2.8958
 
2.6%
1.1875
 
1.6%
1.2065
 
1.6%
2.9025
 
1.6%
1.4654
 
1.3%
3.2284
 
1.3%
2.8774
 
1.3%
3.8494
 
1.3%
1.2154
 
1.3%
Other values (157)254
82.5%
ValueCountFrequency (%)
0.8631
 
0.3%
0.8671
 
0.3%
0.871
 
0.3%
0.8722
0.6%
0.8743
1.0%
ValueCountFrequency (%)
343611
3.6%
3.9721
 
0.3%
3.9291
 
0.3%
3.9251
 
0.3%
3.9211
 
0.3%

QUA_AreaPower
Real number (ℝ≥0)

Distinct9
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9818181818
Minimum0.6
Maximum6.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:07.340243image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile0.6
Q10.8
median0.8
Q30.925
95-th percentile1.1
Maximum6.1
Range5.5
Interquartile range (IQR)0.125

Descriptive statistics

Standard deviation0.8161604353
Coefficient of variation (CV)0.8312745174
Kurtosis24.35759778
Mean0.9818181818
Median Absolute Deviation (MAD)0.1
Skewness4.964471082
Sum302.4
Variance0.6661178561
MonotonicityNot monotonic
2023-02-03T16:03:07.396323image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.8117
38.0%
0.944
 
14.3%
0.644
 
14.3%
142
 
13.6%
0.726
 
8.4%
1.124
 
7.8%
4.77
 
2.3%
6.13
 
1.0%
51
 
0.3%
ValueCountFrequency (%)
0.644
 
14.3%
0.726
 
8.4%
0.8117
38.0%
0.944
 
14.3%
142
 
13.6%
ValueCountFrequency (%)
6.13
 
1.0%
51
 
0.3%
4.77
 
2.3%
1.124
7.8%
142
13.6%

QUA_AreaInjectionStroke
Real number (ℝ≥0)

Distinct179
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean255.937987
Minimum183.6
Maximum334.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:07.488204image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum183.6
5-th percentile188.7
Q1202.125
median237.25
Q3328.025
95-th percentile333.3
Maximum334.7
Range151.1
Interquartile range (IQR)125.9

Descriptive statistics

Standard deviation58.83465446
Coefficient of variation (CV)0.2298785544
Kurtosis-1.644384293
Mean255.937987
Median Absolute Deviation (MAD)45.3
Skewness0.309278768
Sum78828.9
Variance3461.516565
MonotonicityNot monotonic
2023-02-03T16:03:07.588120image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
331.56
 
1.9%
333.35
 
1.6%
327.55
 
1.6%
225.75
 
1.6%
210.44
 
1.3%
325.84
 
1.3%
249.84
 
1.3%
1924
 
1.3%
248.74
 
1.3%
331.74
 
1.3%
Other values (169)263
85.4%
ValueCountFrequency (%)
183.61
0.3%
183.71
0.3%
1841
0.3%
184.21
0.3%
184.32
0.6%
ValueCountFrequency (%)
334.71
0.3%
334.51
0.3%
334.41
0.3%
334.32
0.6%
334.22
0.6%

QUA_AreaInjectionSpeedMax
Real number (ℝ≥0)

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.56785714
Minimum41.6
Maximum109.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:07.677023image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum41.6
5-th percentile41.6
Q141.6
median75.35
Q3109.2
95-th percentile109.2
Maximum109.2
Range67.6
Interquartile range (IQR)67.6

Descriptive statistics

Standard deviation28.56019597
Coefficient of variation (CV)0.3830094771
Kurtosis-1.662285611
Mean74.56785714
Median Absolute Deviation (MAD)33.75
Skewness0.03000852953
Sum22966.9
Variance815.6847941
MonotonicityNot monotonic
2023-02-03T16:03:07.733926image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
41.6110
35.7%
109.299
32.1%
86.355
17.9%
64.444
 
14.3%
ValueCountFrequency (%)
41.6110
35.7%
64.444
 
14.3%
86.355
17.9%
109.299
32.1%
ValueCountFrequency (%)
109.299
32.1%
86.355
17.9%
64.444
 
14.3%
41.6110
35.7%

QUA_AreaInjectionSpeed
Real number (ℝ≥0)

Distinct59
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.3431818
Minimum133.9
Maximum141.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:07.829216image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum133.9
5-th percentile134.2
Q1135.8
median137.3
Q3138.8
95-th percentile140
Maximum141.7
Range7.8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.007506825
Coefficient of variation (CV)0.01461671995
Kurtosis-1.083571359
Mean137.3431818
Median Absolute Deviation (MAD)1.5
Skewness0.1297462915
Sum42301.7
Variance4.030083654
MonotonicityNot monotonic
2023-02-03T16:03:07.929878image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13619
 
6.2%
135.916
 
5.2%
138.716
 
5.2%
138.815
 
4.9%
14013
 
4.2%
135.812
 
3.9%
139.912
 
3.9%
138.911
 
3.6%
136.110
 
3.2%
138.510
 
3.2%
Other values (49)174
56.5%
ValueCountFrequency (%)
133.91
 
0.3%
1344
1.3%
134.17
2.3%
134.26
1.9%
134.33
1.0%
ValueCountFrequency (%)
141.73
1.0%
141.64
1.3%
141.52
0.6%
141.41
 
0.3%
141.31
 
0.3%

QUA_BackPressureMax
Real number (ℝ≥0)

Distinct25
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205.4675325
Minimum126
Maximum281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:08.021364image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum126
5-th percentile128
Q1130
median204.5
Q3277
95-th percentile279
Maximum281
Range155
Interquartile range (IQR)147

Descriptive statistics

Standard deviation62.78764882
Coefficient of variation (CV)0.3055842841
Kurtosis-1.667824951
Mean205.4675325
Median Absolute Deviation (MAD)73.5
Skewness-0.02899893328
Sum63284
Variance3942.288845
MonotonicityNot monotonic
2023-02-03T16:03:08.103129image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
27858
18.8%
12934
11.0%
13031
10.1%
27728
9.1%
17923
 
7.5%
12815
 
4.9%
22815
 
4.9%
22914
 
4.5%
18014
 
4.5%
17812
 
3.9%
Other values (15)64
20.8%
ValueCountFrequency (%)
1261
 
0.3%
1272
 
0.6%
12815
4.9%
12934
11.0%
13031
10.1%
ValueCountFrequency (%)
2813
 
1.0%
2806
 
1.9%
2798
 
2.6%
27858
18.8%
27728
9.1%

TCE_ActualProcessPower
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCE_ActualPumpPower
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCE_ActualPumpSpeedRPM
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCE_ActualFlowRate
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCE_PressureMainLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCE_PressureReturnLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCE_ActualPumpSpeed
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCE_ActualTemperatureDifference
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCE_TemperatureMainLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCE_TemperatureReturnLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCE_SetTemperature
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCN_ActualProcessPower
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCN_ActualPumpPower
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCN_ActualPumpSpeedRPM
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCN_ActualFlowRate
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCN_PressureMainLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCN_PressureReturnLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCN_ActualPumpSpeed
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCN_ActualTemperatureDifference
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCN_TemperatureMainLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCN_TemperatureReturnLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCN_SetTemperature
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

TCE_ActualProcessPowerMean
Real number (ℝ≥0)

CONSTANT
REJECTED

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5
Minimum0.5
Maximum0.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:08.182880image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.5
Q10.5
median0.5
Q30.5
95-th percentile0.5
Maximum0.5
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean0.5
Median Absolute Deviation (MAD)0
Skewness0
Sum154
Variance0
MonotonicityIncreasing
2023-02-03T16:03:08.246752image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0.5308
100.0%
ValueCountFrequency (%)
0.5308
100.0%
ValueCountFrequency (%)
0.5308
100.0%

TCE_ActualPumpPowerMean
Real number (ℝ≥0)

CONSTANT
REJECTED

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5
Minimum0.5
Maximum0.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:08.308006image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.5
Q10.5
median0.5
Q30.5
95-th percentile0.5
Maximum0.5
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean0.5
Median Absolute Deviation (MAD)0
Skewness0
Sum154
Variance0
MonotonicityIncreasing
2023-02-03T16:03:08.376409image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0.5308
100.0%
ValueCountFrequency (%)
0.5308
100.0%
ValueCountFrequency (%)
0.5308
100.0%

TCE_ActualPumpSpeedRPMMean
Real number (ℝ≥0)

CONSTANT
REJECTED

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2950
Minimum2950
Maximum2950
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:08.441447image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum2950
5-th percentile2950
Q12950
median2950
Q32950
95-th percentile2950
Maximum2950
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2950
Median Absolute Deviation (MAD)0
Skewness0
Sum908600
Variance0
MonotonicityIncreasing
2023-02-03T16:03:08.502895image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2950308
100.0%
ValueCountFrequency (%)
2950308
100.0%
ValueCountFrequency (%)
2950308
100.0%

TCE_ActualFlowRateMean
Real number (ℝ≥0)

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.81071429
Minimum41.9
Maximum43.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:08.574887image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum41.9
5-th percentile41.9
Q141.9
median43.6
Q343.6
95-th percentile43.6
Maximum43.6
Range1.7
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation0.8492085659
Coefficient of variation (CV)0.01983635592
Kurtosis-1.992264998
Mean42.81071429
Median Absolute Deviation (MAD)0
Skewness-0.1439248579
Sum13185.7
Variance0.7211551885
MonotonicityIncreasing
2023-02-03T16:03:08.644539image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
43.6165
53.6%
41.9143
46.4%
ValueCountFrequency (%)
41.9143
46.4%
43.6165
53.6%
ValueCountFrequency (%)
43.6165
53.6%
41.9143
46.4%

TCE_PressureMainLineMean
Real number (ℝ≥0)

Distinct12
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.471201299
Minimum1.4
Maximum1.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:08.718374image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.4
5-th percentile1.42
Q11.46
median1.48
Q31.49
95-th percentile1.5
Maximum1.51
Range0.11
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.02435189359
Coefficient of variation (CV)0.01655238723
Kurtosis0.3509336495
Mean1.471201299
Median Absolute Deviation (MAD)0.01
Skewness-1.017943657
Sum453.13
Variance0.0005930147214
MonotonicityNot monotonic
2023-02-03T16:03:08.790493image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.4975
24.4%
1.4855
17.9%
1.4643
14.0%
1.4742
13.6%
1.534
11.0%
1.4415
 
4.9%
1.4213
 
4.2%
1.4112
 
3.9%
1.459
 
2.9%
1.437
 
2.3%
Other values (2)3
 
1.0%
ValueCountFrequency (%)
1.41
 
0.3%
1.4112
3.9%
1.4213
4.2%
1.437
2.3%
1.4415
4.9%
ValueCountFrequency (%)
1.512
 
0.6%
1.534
11.0%
1.4975
24.4%
1.4855
17.9%
1.4742
13.6%

TCE_PressureReturnLineMean
Real number (ℝ≥0)

Distinct11
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.501590909
Minimum1.48
Maximum1.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:08.861929image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.48
5-th percentile1.49
Q11.5
median1.5
Q31.5
95-th percentile1.52
Maximum1.58
Range0.1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.01259756123
Coefficient of variation (CV)0.008389476226
Kurtosis16.1097778
Mean1.501590909
Median Absolute Deviation (MAD)0
Skewness3.455759398
Sum462.49
Variance0.000158698549
MonotonicityNot monotonic
2023-02-03T16:03:09.199049image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.5219
71.1%
1.4937
 
12.0%
1.5126
 
8.4%
1.488
 
2.6%
1.526
 
1.9%
1.533
 
1.0%
1.573
 
1.0%
1.552
 
0.6%
1.562
 
0.6%
1.541
 
0.3%
ValueCountFrequency (%)
1.488
 
2.6%
1.4937
 
12.0%
1.5219
71.1%
1.5126
 
8.4%
1.526
 
1.9%
ValueCountFrequency (%)
1.581
 
0.3%
1.573
1.0%
1.562
0.6%
1.552
0.6%
1.541
 
0.3%

TCE_ActualPumpSpeedMean
Real number (ℝ≥0)

CONSTANT
REJECTED

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100
Minimum100
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:09.262997image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile100
Q1100
median100
Q3100
95-th percentile100
Maximum100
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean100
Median Absolute Deviation (MAD)0
Skewness0
Sum30800
Variance0
MonotonicityIncreasing
2023-02-03T16:03:09.324494image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
100308
100.0%
ValueCountFrequency (%)
100308
100.0%
ValueCountFrequency (%)
100308
100.0%
Distinct41
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1331168831
Minimum-0.4
Maximum0.28
Zeros29
Zeros (%)9.4%
Negative247
Negative (%)80.2%
Memory size4.8 KiB
2023-02-03T16:03:09.407462image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile-0.3
Q1-0.2025
median-0.1
Q3-0.03
95-th percentile0.0565
Maximum0.28
Range0.68
Interquartile range (IQR)0.1725

Descriptive statistics

Standard deviation0.1233148006
Coefficient of variation (CV)-0.9263648433
Kurtosis-0.7048825618
Mean-0.1331168831
Median Absolute Deviation (MAD)0.1
Skewness0.04037791686
Sum-41
Variance0.01520654004
MonotonicityNot monotonic
2023-02-03T16:03:09.509520image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
-0.177
25.0%
-0.364
20.8%
-0.246
14.9%
029
 
9.4%
-0.0110
 
3.2%
0.056
 
1.9%
-0.025
 
1.6%
-0.095
 
1.6%
0.085
 
1.6%
-0.064
 
1.3%
Other values (31)57
18.5%
ValueCountFrequency (%)
-0.42
0.6%
-0.371
0.3%
-0.351
0.3%
-0.331
0.3%
-0.311
0.3%
ValueCountFrequency (%)
0.281
 
0.3%
0.141
 
0.3%
0.14
1.3%
0.091
 
0.3%
0.085
1.6%

TCE_TemperatureMainLineMean
Real number (ℝ≥0)

Distinct63
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.11883117
Minimum30
Maximum60.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:09.616510image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile30
Q130.1
median45.3
Q360
95-th percentile60.2
Maximum60.5
Range30.5
Interquartile range (IQR)29.9

Descriptive statistics

Standard deviation13.91617286
Coefficient of variation (CV)0.3084338069
Kurtosis-1.843494477
Mean45.11883117
Median Absolute Deviation (MAD)14.9
Skewness-0.005655491539
Sum13896.6
Variance193.659867
MonotonicityNot monotonic
2023-02-03T16:03:09.712302image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6054
17.5%
60.249
15.9%
30.144
14.3%
3044
14.3%
30.214
 
4.5%
59.99
 
2.9%
30.016
 
1.9%
30.45
 
1.6%
45.354
 
1.3%
45.324
 
1.3%
Other values (53)75
24.4%
ValueCountFrequency (%)
3044
14.3%
30.016
 
1.9%
30.023
 
1.0%
30.031
 
0.3%
30.043
 
1.0%
ValueCountFrequency (%)
60.52
0.6%
60.451
 
0.3%
60.42
0.6%
60.331
 
0.3%
60.33
1.0%

TCE_TemperatureReturnLineMean
Real number (ℝ≥0)

Distinct35
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.98568182
Minimum29.7
Maximum60.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:09.805243image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum29.7
5-th percentile29.8
Q130
median45.3
Q359.9
95-th percentile60
Maximum60.1
Range30.4
Interquartile range (IQR)29.9

Descriptive statistics

Standard deviation13.87999779
Coefficient of variation (CV)0.3085425679
Kurtosis-1.843471998
Mean44.98568182
Median Absolute Deviation (MAD)14.7
Skewness-0.01082733896
Sum13855.59
Variance192.6543386
MonotonicityNot monotonic
2023-02-03T16:03:09.895334image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
59.974
24.0%
3056
18.2%
6032
10.4%
29.829
 
9.4%
30.221
 
6.8%
45.313
 
4.2%
45.412
 
3.9%
29.711
 
3.6%
45.110
 
3.2%
30.18
 
2.6%
Other values (25)42
13.6%
ValueCountFrequency (%)
29.711
 
3.6%
29.829
9.4%
29.861
 
0.3%
29.871
 
0.3%
29.881
 
0.3%
ValueCountFrequency (%)
60.14
 
1.3%
60.031
 
0.3%
6032
10.4%
59.942
 
0.6%
59.931
 
0.3%

TCE_SetTemperatureMean
Real number (ℝ≥0)

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45
Minimum30
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:09.968934image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile30
Q130
median45
Q360
95-th percentile60
Maximum60
Range30
Interquartile range (IQR)30

Descriptive statistics

Standard deviation13.90990086
Coefficient of variation (CV)0.3091089081
Kurtosis-1.84371049
Mean45
Median Absolute Deviation (MAD)15
Skewness0
Sum13860
Variance193.485342
MonotonicityNot monotonic
2023-02-03T16:03:10.030639image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
30132
42.9%
60132
42.9%
4544
 
14.3%
ValueCountFrequency (%)
30132
42.9%
4544
 
14.3%
60132
42.9%
ValueCountFrequency (%)
60132
42.9%
4544
 
14.3%
30132
42.9%

TCN_ActualProcessPowerMean
Real number (ℝ≥0)

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6996428571
Minimum0.62
Maximum0.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:10.092125image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.62
5-th percentile0.7
Q10.7
median0.7
Q30.7
95-th percentile0.7
Maximum0.7
Range0.08
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.004863181585
Coefficient of variation (CV)0.006950948667
Kurtosis240.4769169
Mean0.6996428571
Median Absolute Deviation (MAD)0
Skewness-15.14233834
Sum215.49
Variance2.365053513 × 10-5
MonotonicityNot monotonic
2023-02-03T16:03:10.163228image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0.7306
99.4%
0.621
 
0.3%
0.671
 
0.3%
ValueCountFrequency (%)
0.621
 
0.3%
0.671
 
0.3%
0.7306
99.4%
ValueCountFrequency (%)
0.7306
99.4%
0.671
 
0.3%
0.621
 
0.3%

TCN_ActualPumpPowerMean
Real number (ℝ≥0)

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6996428571
Minimum0.62
Maximum0.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:10.235738image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.62
5-th percentile0.7
Q10.7
median0.7
Q30.7
95-th percentile0.7
Maximum0.7
Range0.08
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.004863181585
Coefficient of variation (CV)0.006950948667
Kurtosis240.4769169
Mean0.6996428571
Median Absolute Deviation (MAD)0
Skewness-15.14233834
Sum215.49
Variance2.365053513 × 10-5
MonotonicityNot monotonic
2023-02-03T16:03:10.303674image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0.7306
99.4%
0.621
 
0.3%
0.671
 
0.3%
ValueCountFrequency (%)
0.621
 
0.3%
0.671
 
0.3%
0.7306
99.4%
ValueCountFrequency (%)
0.7306
99.4%
0.671
 
0.3%
0.621
 
0.3%

TCN_ActualPumpSpeedRPMMean
Real number (ℝ≥0)

CONSTANT
REJECTED

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2950
Minimum2950
Maximum2950
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:10.379790image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum2950
5-th percentile2950
Q12950
median2950
Q32950
95-th percentile2950
Maximum2950
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2950
Median Absolute Deviation (MAD)0
Skewness0
Sum908600
Variance0
MonotonicityIncreasing
2023-02-03T16:03:10.451013image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2950308
100.0%
ValueCountFrequency (%)
2950308
100.0%
ValueCountFrequency (%)
2950308
100.0%

TCN_ActualFlowRateMean
Real number (ℝ≥0)

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.575
Minimum35.9
Maximum36.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:10.519898image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum35.9
5-th percentile35.9
Q136.575
median36.8
Q336.8
95-th percentile36.8
Maximum36.8
Range0.9
Interquartile range (IQR)0.225

Descriptive statistics

Standard deviation0.3903456249
Coefficient of variation (CV)0.01067247095
Kurtosis-0.6578806386
Mean36.575
Median Absolute Deviation (MAD)0
Skewness-1.160359301
Sum11265.1
Variance0.1523697068
MonotonicityNot monotonic
2023-02-03T16:03:10.582332image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
36.8231
75.0%
35.977
 
25.0%
ValueCountFrequency (%)
35.977
 
25.0%
36.8231
75.0%
ValueCountFrequency (%)
36.8231
75.0%
35.977
 
25.0%

TCN_PressureMainLineMean
Real number (ℝ≥0)

Distinct18
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.468116883
Minimum2.2
Maximum2.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:10.653646image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile2.2
Q12.36
median2.5
Q32.5175
95-th percentile2.7
Maximum2.7
Range0.5
Interquartile range (IQR)0.1575

Descriptive statistics

Standard deviation0.165170012
Coefficient of variation (CV)0.06692147084
Kurtosis-0.8381470374
Mean2.468116883
Median Absolute Deviation (MAD)0.1
Skewness-0.3462502576
Sum760.18
Variance0.02728113287
MonotonicityNot monotonic
2023-02-03T16:03:10.737076image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2.5130
42.2%
2.259
19.2%
2.756
18.2%
2.618
 
5.8%
2.317
 
5.5%
2.412
 
3.9%
2.454
 
1.3%
2.492
 
0.6%
2.411
 
0.3%
2.441
 
0.3%
Other values (8)8
 
2.6%
ValueCountFrequency (%)
2.259
19.2%
2.251
 
0.3%
2.317
 
5.5%
2.381
 
0.3%
2.412
 
3.9%
ValueCountFrequency (%)
2.756
18.2%
2.671
 
0.3%
2.631
 
0.3%
2.618
 
5.8%
2.571
 
0.3%

TCN_PressureReturnLineMean
Real number (ℝ≥0)

Distinct17
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.493733766
Minimum2.2
Maximum2.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:10.809356image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile2.2
Q12.375
median2.5
Q32.6
95-th percentile2.7
Maximum2.7
Range0.5
Interquartile range (IQR)0.225

Descriptive statistics

Standard deviation0.1712019796
Coefficient of variation (CV)0.06865286981
Kurtosis-0.8702112486
Mean2.493733766
Median Absolute Deviation (MAD)0.1
Skewness-0.6178072918
Sum768.07
Variance0.02931011781
MonotonicityNot monotonic
2023-02-03T16:03:10.900815image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2.581
26.3%
2.665
21.1%
2.759
19.2%
2.255
17.9%
2.322
 
7.1%
2.536
 
1.9%
2.45
 
1.6%
2.543
 
1.0%
2.553
 
1.0%
2.592
 
0.6%
Other values (7)7
 
2.3%
ValueCountFrequency (%)
2.255
17.9%
2.322
 
7.1%
2.45
 
1.6%
2.431
 
0.3%
2.581
26.3%
ValueCountFrequency (%)
2.759
19.2%
2.691
 
0.3%
2.641
 
0.3%
2.631
 
0.3%
2.665
21.1%

TCN_ActualPumpSpeedMean
Real number (ℝ≥0)

CONSTANT
REJECTED

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100
Minimum100
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:10.979866image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile100
Q1100
median100
Q3100
95-th percentile100
Maximum100
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean100
Median Absolute Deviation (MAD)0
Skewness0
Sum30800
Variance0
MonotonicityIncreasing
2023-02-03T16:03:11.042206image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
100308
100.0%
ValueCountFrequency (%)
100308
100.0%
ValueCountFrequency (%)
100308
100.0%
Distinct65
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3628896104
Minimum-0.05
Maximum0.86
Zeros38
Zeros (%)12.3%
Negative2
Negative (%)0.6%
Memory size4.8 KiB
2023-02-03T16:03:11.134907image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.05
5-th percentile0
Q10.1
median0.34
Q30.6325
95-th percentile0.7495
Maximum0.86
Range0.91
Interquartile range (IQR)0.5325

Descriptive statistics

Standard deviation0.2767171927
Coefficient of variation (CV)0.7625382065
Kurtosis-1.588994905
Mean0.3628896104
Median Absolute Deviation (MAD)0.24
Skewness0.1053976702
Sum111.77
Variance0.07657240471
MonotonicityNot monotonic
2023-02-03T16:03:11.236882image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.162
20.1%
038
 
12.3%
0.227
 
8.8%
0.6814
 
4.5%
0.6110
 
3.2%
0.669
 
2.9%
0.639
 
2.9%
0.649
 
2.9%
0.677
 
2.3%
0.716
 
1.9%
Other values (55)117
38.0%
ValueCountFrequency (%)
-0.051
 
0.3%
-0.021
 
0.3%
038
12.3%
0.031
 
0.3%
0.061
 
0.3%
ValueCountFrequency (%)
0.862
0.6%
0.853
1.0%
0.841
 
0.3%
0.832
0.6%
0.822
0.6%

TCN_TemperatureMainLineMean
Real number (ℝ≥0)

Distinct88
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.13288961
Minimum29.83
Maximum60.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:11.339242image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum29.83
5-th percentile29.967
Q130.0675
median45.295
Q360.1
95-th percentile60.2325
Maximum60.6
Range30.77
Interquartile range (IQR)30.0325

Descriptive statistics

Standard deviation13.95702461
Coefficient of variation (CV)0.3092428765
Kurtosis-1.843486543
Mean45.13288961
Median Absolute Deviation (MAD)14.905
Skewness-0.005621617216
Sum13900.93
Variance194.7985359
MonotonicityNot monotonic
2023-02-03T16:03:11.431000image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.156
 
18.2%
60.238
 
12.3%
30.0213
 
4.2%
30.0510
 
3.2%
59.99
 
2.9%
308
 
2.6%
30.068
 
2.6%
607
 
2.3%
30.077
 
2.3%
60.67
 
2.3%
Other values (78)145
47.1%
ValueCountFrequency (%)
29.831
 
0.3%
29.841
 
0.3%
29.851
 
0.3%
29.861
 
0.3%
29.873
1.0%
ValueCountFrequency (%)
60.67
2.3%
60.531
 
0.3%
60.52
 
0.6%
60.421
 
0.3%
60.44
1.3%

TCN_TemperatureReturnLineMean
Real number (ℝ≥0)

Distinct45
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.49649351
Minimum30.6
Maximum60.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:11.535254image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum30.6
5-th percentile30.7
Q130.7
median45.61
Q360.2
95-th percentile60.3065
Maximum60.6
Range30
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation13.6952191
Coefficient of variation (CV)0.3010170244
Kurtosis-1.843565897
Mean45.49649351
Median Absolute Deviation (MAD)14.69
Skewness-0.004193801673
Sum14012.92
Variance187.5590261
MonotonicityNot monotonic
2023-02-03T16:03:11.628787image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
30.795
30.8%
60.353
17.2%
60.143
14.0%
30.823
 
7.5%
60.216
 
5.2%
30.611
 
3.6%
60.69
 
2.9%
60.45
 
1.6%
45.654
 
1.3%
45.453
 
1.0%
Other values (35)46
14.9%
ValueCountFrequency (%)
30.611
 
3.6%
30.631
 
0.3%
30.795
30.8%
30.731
 
0.3%
30.741
 
0.3%
ValueCountFrequency (%)
60.69
 
2.9%
60.451
 
0.3%
60.45
 
1.6%
60.311
 
0.3%
60.353
17.2%

TCN_SetTemperatureMean
Real number (ℝ≥0)

Distinct3
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45
Minimum30
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:11.707467image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile30
Q130
median45
Q360
95-th percentile60
Maximum60
Range30
Interquartile range (IQR)30

Descriptive statistics

Standard deviation13.90990086
Coefficient of variation (CV)0.3091089081
Kurtosis-1.84371049
Mean45
Median Absolute Deviation (MAD)15
Skewness0
Sum13860
Variance193.485342
MonotonicityNot monotonic
2023-02-03T16:03:11.767389image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
30132
42.9%
60132
42.9%
4544
 
14.3%
ValueCountFrequency (%)
30132
42.9%
4544
 
14.3%
60132
42.9%
ValueCountFrequency (%)
60132
42.9%
4544
 
14.3%
30132
42.9%

DXP_Inj1PrsAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1VelAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1PosAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1RpmAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_MldCavPrs1Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_ClpVelAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_ClpPosAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_ClpFceAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Eje1VelAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Eje1PosAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inju1PosAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inju1VelAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Pmp1VolSet
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Pmp1PrsSet
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Pmp1PrsAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_DriveSiePmpTrqAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_DriveSiePlst1TrqAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1PlstTrqAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_ClpMldAdjAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inju1U4000VelSet
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Counter2Counter2Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Parameter_int32_1_Set
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Parameter_int32_2_Set
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Parameter_int16_1_Set
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Parameter_int16_2_Set
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Parameter_int16_3_Set
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Alarm_int32_Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Step_int32_Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Parameter_int32_Option
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Mux1Tmp_1_16TmpMux
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Mux2Tmp_1_16TmpMux
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_PumpValve1Set
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_EjeValve1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1Valve1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_T_Inj1BrlHtgBit1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Pump2ServoIxtAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Pump11ServoSpeed
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Pump11ServoTrqAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_TrigClpCls
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_TrigClpOpn
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_TrigInj1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_TrigHld1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_TrigPlst1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_TrigInj1Dcmp1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_TrigInj1Dcmp2
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_TrigCool
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_TrigClpCfb
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_TrigClpCfr
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_TrigEje1Fwd
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_TrigEje1Rew
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_TrigInju1Fwd
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_TrigInju1Rew
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1VelVolAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1PosVolAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1HopTmpAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1HtgTmp1Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1HtgTmp2Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1HtgTmp3Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1HtgTmp4Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1HtgTmp11Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1HopEdAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1HtgEd1Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1HtgEd2Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1HtgEd3Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1HtgEd4Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_Inj1HtgEd11Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_MldHtg1Tmp1Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_MldHtg1Tmp2Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DXP_OilTmp1Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

IR_Image1Name
Categorical

HIGH CARDINALITY
UNIQUE

Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
TDI_000020221102 08_55_10.939A1.csv
 
1
TDI_000020221103 11_09_35.335A1.csv
 
1
TDI_000020221103 11_54_26.836A1.csv
 
1
TDI_000020221103 11_53_27.588A1.csv
 
1
TDI_000020221103 11_14_41.209A1.csv
 
1
Other values (303)
303 

Unique

Unique308 ?
Unique (%)100.0%

Sample

1st rowTDI_000020221102 08_55_10.939A1.csv
2nd rowTDI_000020221102 08_56_12.315A1.csv
3rd rowTDI_000020221102 08_57_13.724A1.csv
4th rowTDI_000020221102 08_58_15.115A1.csv
5th rowTDI_000020221102 08_59_16.251A1.csv

Common Values

ValueCountFrequency (%)
TDI_000020221102 08_55_10.939A1.csv1
 
0.3%
TDI_000020221103 11_09_35.335A1.csv1
 
0.3%
TDI_000020221103 11_54_26.836A1.csv1
 
0.3%
TDI_000020221103 11_53_27.588A1.csv1
 
0.3%
TDI_000020221103 11_14_41.209A1.csv1
 
0.3%
TDI_000020221103 11_13_40.022A1.csv1
 
0.3%
TDI_000020221103 11_12_38.871A1.csv1
 
0.3%
TDI_000020221103 11_11_37.686A1.csv1
 
0.3%
TDI_000020221103 11_10_36.519A1.csv1
 
0.3%
TDI_000020221103 11_08_34.192A1.csv1
 
0.3%
Other values (298)298
96.8%

IR_Image2Name
Categorical

HIGH CARDINALITY
UNIQUE

Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
TDI_000020221102 08_55_25.930A1.csv
 
1
TDI_000020221103 11_09_50.343A1.csv
 
1
TDI_000020221103 11_54_41.863A1.csv
 
1
TDI_000020221103 11_53_42.580A1.csv
 
1
TDI_000020221103 11_14_56.182A1.csv
 
1
Other values (303)
303 

Unique

Unique308 ?
Unique (%)100.0%

Sample

1st rowTDI_000020221102 08_55_25.930A1.csv
2nd rowTDI_000020221102 08_56_27.307A1.csv
3rd rowTDI_000020221102 08_57_28.714A1.csv
4th rowTDI_000020221102 08_58_30.123A1.csv
5th rowTDI_000020221102 08_59_31.277A1.csv

Common Values

ValueCountFrequency (%)
TDI_000020221102 08_55_25.930A1.csv1
 
0.3%
TDI_000020221103 11_09_50.343A1.csv1
 
0.3%
TDI_000020221103 11_54_41.863A1.csv1
 
0.3%
TDI_000020221103 11_53_42.580A1.csv1
 
0.3%
TDI_000020221103 11_14_56.182A1.csv1
 
0.3%
TDI_000020221103 11_13_55.031A1.csv1
 
0.3%
TDI_000020221103 11_12_53.862A1.csv1
 
0.3%
TDI_000020221103 11_11_52.679A1.csv1
 
0.3%
TDI_000020221103 11_10_51.528A1.csv1
 
0.3%
TDI_000020221103 11_08_49.207A1.csv1
 
0.3%
Other values (298)298
96.8%

DRY_HT101_acAirFlow
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT101_acDryingTime
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT101_acSensorMoisture
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT101_acTempDryair
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT101_acTempReturnAir
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT101_svDryingTime
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT101_svTempDryair
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT101_svTempReturnAir
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT101_svTempStandby
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT102_acAirFlow
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT102_acDryingTime
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT102_acSensorMoisture
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT102_acTempDryair
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT102_acTempReturnAir
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT102_svDryingTime
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT102_svTempDryair
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT102_svTempReturnAir
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_HT102_svTempStandby
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_acBatchCounter
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_acComp1DosRate
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_acComp1Percent
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_acComp1TotalWeight
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_acComp2DosRate
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DRY_acComp2Percent
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DOS_acComp2TotalWeight
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DOS_acComp3DosRate
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DOS_acComp3Percent
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DOS_acComp3TotalWeight
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DOS_acComp4DosRate
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DOS_acComp4Percent
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DOS_acComp4TotalWeight
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DOS_acDessicantBedCycleTime
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DOS_acDryCircuitDewPoint
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DOS_acRegCircuitInletTemp
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DOS_acTotalWeight
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DOS_acWeight
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

DOS_svBatchWeight
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

E77_AverageCycleTime
Real number (ℝ≥0)

ZEROS

Distinct303
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59583.36936
Minimum0
Maximum63923.09859
Zeros5
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:11.868623image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59903.41852
Q160046.43523
median60173.84403
Q360405.3888
95-th percentile63153.41131
Maximum63923.09859
Range63923.09859
Interquartile range (IQR)358.9535611

Descriptive statistics

Standard deviation7734.154573
Coefficient of variation (CV)0.1298039143
Kurtosis55.4785533
Mean59583.36936
Median Absolute Deviation (MAD)140.8681091
Skewness-7.481773765
Sum18351677.76
Variance59817146.96
MonotonicityNot monotonic
2023-02-03T16:03:11.968082image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
05
 
1.6%
602152
 
0.6%
60170.506331
 
0.3%
60173.305081
 
0.3%
60174.382981
 
0.3%
60324.848481
 
0.3%
60320.609141
 
0.3%
60316.326531
 
0.3%
60311.948721
 
0.3%
60307.525771
 
0.3%
Other values (293)293
95.1%
ValueCountFrequency (%)
05
1.6%
59812.631581
 
0.3%
59826.315791
 
0.3%
59842.162161
 
0.3%
59844.444441
 
0.3%
ValueCountFrequency (%)
63923.098591
0.3%
63887.777781
0.3%
63853.561641
0.3%
63820.135141
0.3%
63787.066671
0.3%

E77_BarrelTemperatureZone1
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.11363636
Minimum0
Maximum51
Zeros5
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:12.052589image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile49
Q150
median50
Q350
95-th percentile50
Maximum51
Range51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6.327907972
Coefficient of variation (CV)0.1288421799
Kurtosis57.23903229
Mean49.11363636
Median Absolute Deviation (MAD)0
Skewness-7.661615774
Sum15127
Variance40.04241931
MonotonicityNot monotonic
2023-02-03T16:03:12.124205image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
50268
87.0%
4929
 
9.4%
516
 
1.9%
05
 
1.6%
ValueCountFrequency (%)
05
 
1.6%
4929
 
9.4%
50268
87.0%
516
 
1.9%
ValueCountFrequency (%)
516
 
1.9%
50268
87.0%
4929
 
9.4%
05
 
1.6%

E77_BarrelTemperatureZone2
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223.8831169
Minimum0
Maximum250
Zeros5
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:12.191476image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile208
Q1209.75
median229
Q3249
95-th percentile250
Maximum250
Range250
Interquartile range (IQR)39.25

Descriptive statistics

Standard deviation34.06297063
Coefficient of variation (CV)0.152146223
Kurtosis28.09734131
Mean223.8831169
Median Absolute Deviation (MAD)20
Skewness-4.53408143
Sum68956
Variance1160.285968
MonotonicityNot monotonic
2023-02-03T16:03:12.259258image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
24979
25.6%
21070
22.7%
20960
19.5%
22932
10.4%
25026
 
8.4%
24811
 
3.6%
2089
 
2.9%
2307
 
2.3%
05
 
1.6%
2284
 
1.3%
Other values (3)5
 
1.6%
ValueCountFrequency (%)
05
 
1.6%
2073
 
1.0%
2089
 
2.9%
20960
19.5%
21070
22.7%
ValueCountFrequency (%)
25026
 
8.4%
24979
25.6%
24811
 
3.6%
2471
 
0.3%
2307
 
2.3%

E77_BarrelTemperatureZone3
Real number (ℝ≥0)

ZEROS

Distinct8
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean229.4545455
Minimum0
Maximum255
Zeros5
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:12.331058image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile214
Q1215
median235
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)40

Descriptive statistics

Standard deviation34.7503129
Coefficient of variation (CV)0.1514474809
Kurtosis28.66725022
Mean229.4545455
Median Absolute Deviation (MAD)20
Skewness-4.60220667
Sum70672
Variance1207.584246
MonotonicityNot monotonic
2023-02-03T16:03:12.404085image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
215120
39.0%
255108
35.1%
23540
 
13.0%
21421
 
6.8%
2549
 
2.9%
05
 
1.6%
2344
 
1.3%
2161
 
0.3%
ValueCountFrequency (%)
05
 
1.6%
21421
 
6.8%
215120
39.0%
2161
 
0.3%
2344
 
1.3%
ValueCountFrequency (%)
255108
35.1%
2549
 
2.9%
23540
 
13.0%
2344
 
1.3%
2161
 
0.3%

E77_BarrelTemperatureZone4
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean229.5616883
Minimum0
Maximum255
Zeros5
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:12.464487image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile215
Q1215
median235
Q3255
95-th percentile255
Maximum255
Range255
Interquartile range (IQR)40

Descriptive statistics

Standard deviation34.74503821
Coefficient of variation (CV)0.151353819
Kurtosis28.74474628
Mean229.5616883
Median Absolute Deviation (MAD)20
Skewness-4.611210564
Sum70705
Variance1207.217681
MonotonicityNot monotonic
2023-02-03T16:03:12.532518image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
215142
46.1%
255117
38.0%
23544
 
14.3%
05
 
1.6%
ValueCountFrequency (%)
05
 
1.6%
215142
46.1%
23544
 
14.3%
255117
38.0%
ValueCountFrequency (%)
255117
38.0%
23544
 
14.3%
215142
46.1%
05
 
1.6%

E77_BarrelTemperatureZone5
Real number (ℝ≥0)

ZEROS

Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.4805195
Minimum0
Maximum260
Zeros5
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:12.587451image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile220
Q1220
median240
Q3260
95-th percentile260
Maximum260
Range260
Interquartile range (IQR)40

Descriptive statistics

Standard deviation35.28464445
Coefficient of variation (CV)0.1504800677
Kurtosis29.47971776
Mean234.4805195
Median Absolute Deviation (MAD)20
Skewness-4.697378394
Sum72220
Variance1245.006134
MonotonicityNot monotonic
2023-02-03T16:03:12.658833image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
220142
46.1%
260117
38.0%
24044
 
14.3%
05
 
1.6%
ValueCountFrequency (%)
05
 
1.6%
220142
46.1%
24044
 
14.3%
260117
38.0%
ValueCountFrequency (%)
260117
38.0%
24044
 
14.3%
220142
46.1%
05
 
1.6%

E77_BarrelTemperatureZone6
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.4642857
Minimum0
Maximum265
Zeros5
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:12.720584image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile220
Q1220
median241
Q3261
95-th percentile262
Maximum265
Range265
Interquartile range (IQR)41

Descriptive statistics

Standard deviation35.62127092
Coefficient of variation (CV)0.1512809928
Kurtosis28.80358424
Mean235.4642857
Median Absolute Deviation (MAD)20
Skewness-4.621688544
Sum72523
Variance1268.874942
MonotonicityNot monotonic
2023-02-03T16:03:12.800391image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
22086
27.9%
26151
16.6%
22150
16.2%
26236
11.7%
24223
 
7.5%
26015
 
4.9%
24111
 
3.6%
24310
 
3.2%
2226
 
1.9%
05
 
1.6%
Other values (4)15
 
4.9%
ValueCountFrequency (%)
05
 
1.6%
22086
27.9%
22150
16.2%
2226
 
1.9%
24111
 
3.6%
ValueCountFrequency (%)
2651
 
0.3%
2644
 
1.3%
2635
 
1.6%
26236
11.7%
26151
16.6%

E77_CavityPressureMaximum
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.711039
Minimum0
Maximum248
Zeros4
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:12.884499image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile82
Q1102
median162
Q3223.25
95-th percentile246
Maximum248
Range248
Interquartile range (IQR)121.25

Descriptive statistics

Standard deviation62.12898432
Coefficient of variation (CV)0.3771998811
Kurtosis-1.141098121
Mean164.711039
Median Absolute Deviation (MAD)61
Skewness-0.1914930698
Sum50731
Variance3860.010692
MonotonicityNot monotonic
2023-02-03T16:03:12.991391image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22315
 
4.9%
24212
 
3.9%
22411
 
3.6%
10011
 
3.6%
8610
 
3.2%
22610
 
3.2%
24510
 
3.2%
13110
 
3.2%
14910
 
3.2%
14810
 
3.2%
Other values (50)199
64.6%
ValueCountFrequency (%)
04
1.3%
801
 
0.3%
814
1.3%
828
2.6%
837
2.3%
ValueCountFrequency (%)
2488
2.6%
2477
2.3%
2466
1.9%
24510
3.2%
2442
 
0.6%

E77_CushionStroke
Real number (ℝ≥0)

ZEROS

Distinct250
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.260080195
Minimum0
Maximum11.1224
Zeros4
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:13.094694image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.55504
Q15.984875
median7.335
Q38.706875
95-th percentile10.9511
Maximum11.1224
Range11.1224
Interquartile range (IQR)2.722

Descriptive statistics

Standard deviation2.302777889
Coefficient of variation (CV)0.3171835334
Kurtosis0.1072500471
Mean7.260080195
Median Absolute Deviation (MAD)1.37645
Skewness-0.3488573179
Sum2236.1047
Variance5.302786008
MonotonicityNot monotonic
2023-02-03T16:03:13.190463image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
04
 
1.3%
3.52052
 
0.6%
7.21962
 
0.6%
7.38912
 
0.6%
4.75862
 
0.6%
7.22312
 
0.6%
9.51852
 
0.6%
7.57922
 
0.6%
9.51062
 
0.6%
3.33732
 
0.6%
Other values (240)286
92.9%
ValueCountFrequency (%)
04
1.3%
3.33732
0.6%
3.35181
 
0.3%
3.46041
 
0.3%
3.4771
 
0.3%
ValueCountFrequency (%)
11.12241
0.3%
11.10041
0.3%
11.09391
0.3%
11.08982
0.6%
11.08131
0.3%

E77_CushionVolume
Real number (ℝ≥0)

ZEROS

Distinct191
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.985227273
Minimum0
Maximum10.7
Zeros4
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:13.284860image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.4235
Q15.755
median7.06
Q38.375
95-th percentile10.5365
Maximum10.7
Range10.7
Interquartile range (IQR)2.62

Descriptive statistics

Standard deviation2.215601097
Coefficient of variation (CV)0.3171838239
Kurtosis0.1068887458
Mean6.985227273
Median Absolute Deviation (MAD)1.32
Skewness-0.3489578185
Sum2151.45
Variance4.908888222
MonotonicityNot monotonic
2023-02-03T16:03:13.385181image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.067
 
2.3%
7.215
 
1.6%
6.855
 
1.6%
6.955
 
1.6%
7.095
 
1.6%
3.764
 
1.3%
3.434
 
1.3%
4.584
 
1.3%
6.894
 
1.3%
74
 
1.3%
Other values (181)261
84.7%
ValueCountFrequency (%)
04
1.3%
3.212
0.6%
3.221
 
0.3%
3.331
 
0.3%
3.351
 
0.3%
ValueCountFrequency (%)
10.71
 
0.3%
10.681
 
0.3%
10.673
1.0%
10.663
1.0%
10.642
0.6%

E77_CycleTime
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59126.98052
Minimum0
Maximum61520
Zeros5
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:13.818475image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile59213.5
Q159260
median59580
Q361160
95-th percentile61220
Maximum61520
Range61520
Interquartile range (IQR)1900

Descriptive statistics

Standard deviation7653.898773
Coefficient of variation (CV)0.1294484972
Kurtosis56.11922169
Mean59126.98052
Median Absolute Deviation (MAD)440
Skewness-7.550167314
Sum18211110
Variance58582166.42
MonotonicityNot monotonic
2023-02-03T16:03:13.920540image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6121021
 
6.8%
5922018
 
5.8%
6115014
 
4.5%
6122014
 
4.5%
5925013
 
4.2%
5923013
 
4.2%
5957012
 
3.9%
5953012
 
3.9%
6116012
 
3.9%
6003011
 
3.6%
Other values (40)168
54.5%
ValueCountFrequency (%)
05
 
1.6%
592001
 
0.3%
5921010
3.2%
5922018
5.8%
5923013
4.2%
ValueCountFrequency (%)
615201
0.3%
614001
0.3%
613902
0.6%
613802
0.6%
613401
0.3%
Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.87012987
Minimum0
Maximum10
Zeros4
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:14.011847image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q110
median10
Q310
95-th percentile10
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.134023989
Coefficient of variation (CV)0.1148945357
Kurtosis73.21575268
Mean9.87012987
Median Absolute Deviation (MAD)0
Skewness-8.645250601
Sum3040
Variance1.286010407
MonotonicityNot monotonic
2023-02-03T16:03:14.073013image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
10304
98.7%
04
 
1.3%
ValueCountFrequency (%)
04
 
1.3%
10304
98.7%
ValueCountFrequency (%)
10304
98.7%
04
 
1.3%

E77_DosingTime
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10821.98052
Minimum0
Maximum11610
Zeros4
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:14.154862image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10560
Q110747.5
median10980
Q311150
95-th percentile11400
Maximum11610
Range11610
Interquartile range (IQR)402.5

Descriptive statistics

Standard deviation1270.96041
Coefficient of variation (CV)0.1174424966
Kurtosis66.8191922
Mean10821.98052
Median Absolute Deviation (MAD)200
Skewness-8.079011841
Sum3333170
Variance1615340.364
MonotonicityNot monotonic
2023-02-03T16:03:14.257257image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107809
 
2.9%
106108
 
2.6%
111007
 
2.3%
112706
 
1.9%
111406
 
1.9%
111506
 
1.9%
110906
 
1.9%
105606
 
1.9%
110806
 
1.9%
110506
 
1.9%
Other values (89)242
78.6%
ValueCountFrequency (%)
04
1.3%
104601
 
0.3%
104701
 
0.3%
105102
0.6%
105202
0.6%
ValueCountFrequency (%)
116101
0.3%
115601
0.3%
115401
0.3%
115302
0.6%
115102
0.6%

E77_FlowIndex
Real number (ℝ≥0)

Distinct165
Distinct (%)53.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9437.577922
Minimum0
Maximum12342
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:14.360591image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6602.35
Q16737
median9466.5
Q312086.25
95-th percentile12337
Maximum12342
Range12342
Interquartile range (IQR)5349.25

Descriptive statistics

Standard deviation2474.300372
Coefficient of variation (CV)0.2621753581
Kurtosis0.09874967366
Mean9437.577922
Median Absolute Deviation (MAD)2625.5
Skewness-0.4877216217
Sum2906774
Variance6122162.329
MonotonicityNot monotonic
2023-02-03T16:03:14.461879image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
121657
 
2.3%
123387
 
2.3%
67355
 
1.6%
84925
 
1.6%
84565
 
1.6%
84585
 
1.6%
84575
 
1.6%
120474
 
1.3%
123374
 
1.3%
120944
 
1.3%
Other values (155)257
83.4%
ValueCountFrequency (%)
03
1.0%
65913
1.0%
65921
 
0.3%
65931
 
0.3%
65951
 
0.3%
ValueCountFrequency (%)
123421
 
0.3%
123412
 
0.6%
123404
1.3%
123391
 
0.3%
123387
2.3%
Distinct79
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean250075.3636
Minimum0
Maximum305758
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:14.570566image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile170689.95
Q1205363
median254417
Q3304958.25
95-th percentile305758
Maximum305758
Range305758
Interquartile range (IQR)99595.25

Descriptive statistics

Standard deviation52846.21907
Coefficient of variation (CV)0.2113211725
Kurtosis3.044198279
Mean250075.3636
Median Absolute Deviation (MAD)50427
Skewness-1.115734747
Sum77023212
Variance2792722870
MonotonicityNot monotonic
2023-02-03T16:03:14.676152image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30530143
 
14.0%
30575834
 
11.0%
30484427
 
8.8%
25533224
 
7.8%
2044499
 
2.9%
2053639
 
2.9%
2544178
 
2.6%
2548758
 
2.6%
2557907
 
2.3%
3043866
 
1.9%
Other values (69)133
43.2%
ValueCountFrequency (%)
03
1.0%
1668601
 
0.3%
1673182
0.6%
1677752
0.6%
1682321
 
0.3%
ValueCountFrequency (%)
30575834
11.0%
30530143
14.0%
30484427
8.8%
3043866
 
1.9%
2580871
 
0.3%

E77_HoldSpecificPressureMaximum
Real number (ℝ≥0)

Distinct50
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean250.0097403
Minimum0
Maximum306
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:14.779531image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile171
Q1205
median254
Q3305
95-th percentile306
Maximum306
Range306
Interquartile range (IQR)100

Descriptive statistics

Standard deviation52.85549629
Coefficient of variation (CV)0.2114137483
Kurtosis3.034468105
Mean250.0097403
Median Absolute Deviation (MAD)51
Skewness-1.112777351
Sum77003
Variance2793.703488
MonotonicityNot monotonic
2023-02-03T16:03:14.872177image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30570
22.7%
30634
 
11.0%
25532
 
10.4%
25417
 
5.5%
20514
 
4.5%
2049
 
2.9%
2568
 
2.6%
2398
 
2.6%
1717
 
2.3%
3046
 
1.9%
Other values (40)103
33.4%
ValueCountFrequency (%)
03
1.0%
1673
1.0%
1683
1.0%
1694
1.3%
1717
2.3%
ValueCountFrequency (%)
30634
11.0%
30570
22.7%
3046
 
1.9%
2581
 
0.3%
2568
 
2.6%

E77_HydraulicPressureMaximum
Real number (ℝ≥0)

Distinct111
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean298920.2727
Minimum0
Maximum375436
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:14.974256image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile224158
Q1275966
median304844
Q3323180
95-th percentile371156.2
Maximum375436
Range375436
Interquartile range (IQR)47214

Descriptive statistics

Standard deviation51023.03147
Coefficient of variation (CV)0.1706911044
Kurtosis9.801766415
Mean298920.2727
Median Absolute Deviation (MAD)27506
Skewness-1.854580036
Sum92067444
Variance2603349740
MonotonicityNot monotonic
2023-02-03T16:03:15.076297image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30575825
 
8.1%
30530117
 
5.5%
30484414
 
4.5%
30438610
 
3.2%
2764246
 
1.9%
2755096
 
1.9%
3671935
 
1.6%
2777965
 
1.6%
3240954
 
1.3%
2241584
 
1.3%
Other values (101)212
68.8%
ValueCountFrequency (%)
03
1.0%
2218711
 
0.3%
2223283
1.0%
2227851
 
0.3%
2232434
1.3%
ValueCountFrequency (%)
3754361
 
0.3%
3749791
 
0.3%
3745212
0.6%
3740643
1.0%
3736071
 
0.3%

E77_InjectionSpeedAverage
Real number (ℝ≥0)

Distinct73
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.69642857
Minimum0
Maximum107.1
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:15.188783image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40.5
Q141.275
median72.8
Q3102.6
95-th percentile105.6
Maximum107.1
Range107.1
Interquartile range (IQR)61.325

Descriptive statistics

Standard deviation27.5417318
Coefficient of variation (CV)0.3841437063
Kurtosis-1.359340549
Mean71.69642857
Median Absolute Deviation (MAD)30.9
Skewness-0.1090802677
Sum22082.5
Variance758.5469905
MonotonicityNot monotonic
2023-02-03T16:03:15.289246image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.522
 
7.1%
41.915
 
4.9%
40.815
 
4.9%
41.310
 
3.2%
63.910
 
3.2%
41.29
 
2.9%
102.69
 
2.9%
61.78
 
2.6%
105.68
 
2.6%
105.18
 
2.6%
Other values (63)194
63.0%
ValueCountFrequency (%)
03
 
1.0%
40.15
 
1.6%
40.25
 
1.6%
40.41
 
0.3%
40.522
7.1%
ValueCountFrequency (%)
107.11
 
0.3%
1074
1.3%
106.94
1.3%
106.82
0.6%
105.73
1.0%

E77_InjectionSpeedMaximum
Real number (ℝ≥0)

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.45454545
Minimum0
Maximum105
Zeros2
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:15.373352image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40
Q140
median72.5
Q3105
95-th percentile105
Maximum105
Range105
Interquartile range (IQR)65

Descriptive statistics

Standard deviation27.94447517
Coefficient of variation (CV)0.3910804413
Kurtosis-1.479569675
Mean71.45454545
Median Absolute Deviation (MAD)32.5
Skewness-0.04599473413
Sum22008
Variance780.8936926
MonotonicityNot monotonic
2023-02-03T16:03:15.444011image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
40108
35.1%
10599
32.1%
8355
17.9%
6244
14.3%
02
 
0.6%
ValueCountFrequency (%)
02
 
0.6%
40108
35.1%
6244
14.3%
8355
17.9%
10599
32.1%
ValueCountFrequency (%)
10599
32.1%
8355
17.9%
6244
14.3%
40108
35.1%
02
 
0.6%

E77_InjectionStartPosition
Real number (ℝ≥0)

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.9125994
Minimum0
Maximum155.9251
Zeros2
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:15.505983image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile155.9251
Q1155.9251
median155.9251
Q3155.9251
95-th percentile155.9251
Maximum155.9251
Range155.9251
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.54432209
Coefficient of variation (CV)0.08097677102
Kurtosis151.4737921
Mean154.9125994
Median Absolute Deviation (MAD)0
Skewness-12.34869295
Sum47713.0806
Variance157.3600166
MonotonicityNot monotonic
2023-02-03T16:03:15.581322image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
155.9251306
99.4%
02
 
0.6%
ValueCountFrequency (%)
02
 
0.6%
155.9251306
99.4%
ValueCountFrequency (%)
155.9251306
99.4%
02
 
0.6%

E77_InjectionTime
Real number (ℝ≥0)

Distinct13
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2116.006494
Minimum0
Maximum3230
Zeros2
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:15.658483image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1270
Q11280
median1590
Q33200
95-th percentile3230
Maximum3230
Range3230
Interquartile range (IQR)1920

Descriptive statistics

Standard deviation855.5029532
Coefficient of variation (CV)0.404300722
Kurtosis-1.478037236
Mean2116.006494
Median Absolute Deviation (MAD)405
Skewness0.2891151143
Sum651730
Variance731885.3029
MonotonicityNot monotonic
2023-02-03T16:03:15.719910image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
127071
23.1%
321043
14.0%
323033
10.7%
128028
 
9.1%
159022
 
7.1%
209022
 
7.1%
319021
 
6.8%
157017
 
5.5%
158016
 
5.2%
210011
 
3.6%
Other values (3)24
 
7.8%
ValueCountFrequency (%)
02
 
0.6%
127071
23.1%
128028
 
9.1%
157017
 
5.5%
158016
 
5.2%
ValueCountFrequency (%)
323033
10.7%
321043
14.0%
320011
 
3.6%
319021
6.8%
210011
 
3.6%

E77_JobGoodPartsCounter
Real number (ℝ≥0)

ZEROS

Distinct231
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3678.097403
Minimum0
Maximum5379
Zeros78
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:15.811635image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4755.5
Q35085.25
95-th percentile5335.65
Maximum5379
Range5379
Interquartile range (IQR)5085.25

Descriptive statistics

Standard deviation2157.957658
Coefficient of variation (CV)0.5867048699
Kurtosis-0.7334673774
Mean3678.097403
Median Absolute Deviation (MAD)331
Skewness-1.100329875
Sum1132854
Variance4656781.254
MonotonicityNot monotonic
2023-02-03T16:03:15.921594image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
078
 
25.3%
44961
 
0.3%
50911
 
0.3%
50421
 
0.3%
50431
 
0.3%
50441
 
0.3%
50451
 
0.3%
50461
 
0.3%
50841
 
0.3%
50851
 
0.3%
Other values (221)221
71.8%
ValueCountFrequency (%)
078
25.3%
44961
 
0.3%
44971
 
0.3%
44981
 
0.3%
44991
 
0.3%
ValueCountFrequency (%)
53791
0.3%
53781
0.3%
53761
0.3%
53751
0.3%
53741
0.3%

E77_JobPartsCounter
Real number (ℝ≥0)

ZEROS

Distinct246
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3918.876623
Minimum0
Maximum5380
Zeros63
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:16.022836image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14525.75
median4795.5
Q35091.25
95-th percentile5337.65
Maximum5380
Range5380
Interquartile range (IQR)565.5

Descriptive statistics

Standard deviation2004.934638
Coefficient of variation (CV)0.5116095327
Kurtosis0.09987178876
Mean3918.876623
Median Absolute Deviation (MAD)283
Skewness-1.41849315
Sum1207014
Variance4019762.903
MonotonicityNot monotonic
2023-02-03T16:03:16.126099image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
063
 
20.5%
44961
 
0.3%
50931
 
0.3%
50431
 
0.3%
50441
 
0.3%
50451
 
0.3%
50461
 
0.3%
50471
 
0.3%
50851
 
0.3%
50861
 
0.3%
Other values (236)236
76.6%
ValueCountFrequency (%)
063
20.5%
44961
 
0.3%
44971
 
0.3%
44981
 
0.3%
45001
 
0.3%
ValueCountFrequency (%)
53801
0.3%
53791
0.3%
53781
0.3%
53771
0.3%
53761
0.3%

E77_MachineCycleCounter_global
Real number (ℝ≥0)

UNIQUE

Distinct308
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29639.60714
Minimum29218
Maximum30102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:16.237336image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum29218
5-th percentile29245.35
Q129419.5
median29627
Q329861.25
95-th percentile30060.65
Maximum30102
Range884
Interquartile range (IQR)441.75

Descriptive statistics

Standard deviation264.7449234
Coefficient of variation (CV)0.008932133349
Kurtosis-1.201420528
Mean29639.60714
Median Absolute Deviation (MAD)231
Skewness0.1088037969
Sum9128999
Variance70089.87448
MonotonicityStrictly increasing
2023-02-03T16:03:16.343256image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
292181
 
0.3%
297641
 
0.3%
298071
 
0.3%
298061
 
0.3%
297691
 
0.3%
297681
 
0.3%
297671
 
0.3%
297661
 
0.3%
297651
 
0.3%
297631
 
0.3%
Other values (298)298
96.8%
ValueCountFrequency (%)
292181
0.3%
292191
0.3%
292201
0.3%
292211
0.3%
292221
0.3%
ValueCountFrequency (%)
301021
0.3%
301011
0.3%
301001
0.3%
300991
0.3%
300981
0.3%
Distinct44
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205044.0357
Minimum0
Maximum281008
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:16.436979image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile128357
Q1130187
median204677
Q3277338
95-th percentile278711
Maximum281008
Range281008
Interquartile range (IQR)147151

Descriptive statistics

Standard deviation63731.31208
Coefficient of variation (CV)0.3108176829
Kurtosis-1.397262488
Mean205044.0357
Median Absolute Deviation (MAD)73119
Skewness-0.1124894381
Sum63153563
Variance4061680139
MonotonicityNot monotonic
2023-02-03T16:03:16.529346image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
27779643
 
14.0%
12927223
 
7.5%
27733820
 
6.5%
12972919
 
6.2%
27825315
 
4.9%
17878314
 
4.5%
13018712
 
3.9%
12881411
 
3.6%
22874211
 
3.6%
22828410
 
3.2%
Other values (34)130
42.2%
ValueCountFrequency (%)
01
 
0.3%
1256021
 
0.3%
1269752
 
0.6%
1278896
1.9%
1283579
2.9%
ValueCountFrequency (%)
2810083
1.0%
2800933
1.0%
2796363
1.0%
2791682
 
0.6%
2787116
1.9%
Distinct4
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean350.6655844
Minimum0
Maximum352.1
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:16.620921image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile351.8
Q1351.8
median351.8
Q3351.8
95-th percentile351.8
Maximum352.1
Range352.1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.04619219
Coefficient of variation (CV)0.05716612375
Kurtosis307.9949517
Mean350.6655844
Median Absolute Deviation (MAD)0
Skewness-17.54971364
Sum108005
Variance401.8498215
MonotonicityNot monotonic
2023-02-03T16:03:16.683291image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
351.8294
95.5%
352.110
 
3.2%
351.63
 
1.0%
01
 
0.3%
ValueCountFrequency (%)
01
 
0.3%
351.63
 
1.0%
351.8294
95.5%
352.110
 
3.2%
ValueCountFrequency (%)
352.110
 
3.2%
351.8294
95.5%
351.63
 
1.0%
01
 
0.3%
Distinct26
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205.0422078
Minimum0
Maximum281
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:16.763993image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile128
Q1130
median204.5
Q3277
95-th percentile279
Maximum281
Range281
Interquartile range (IQR)147

Descriptive statistics

Standard deviation63.73035755
Coefficient of variation (CV)0.3108157985
Kurtosis-1.397255243
Mean205.0422078
Median Absolute Deviation (MAD)73.5
Skewness-0.112218376
Sum63153
Variance4061.558473
MonotonicityNot monotonic
2023-02-03T16:03:16.835181image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
27858
18.8%
12934
11.0%
13031
10.1%
27728
9.1%
17923
 
7.5%
12815
 
4.9%
22815
 
4.9%
22914
 
4.5%
18014
 
4.5%
17812
 
3.9%
Other values (16)64
20.8%
ValueCountFrequency (%)
01
 
0.3%
1261
 
0.3%
1272
 
0.6%
12815
4.9%
12934
11.0%
ValueCountFrequency (%)
2813
 
1.0%
2806
 
1.9%
2798
 
2.6%
27858
18.8%
27728
9.1%

E77_PlastificationVolume
Real number (ℝ≥0)

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.5329221
Minimum0
Maximum150.02
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:16.915241image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile150.02
Q1150.02
median150.02
Q3150.02
95-th percentile150.02
Maximum150.02
Range150.02
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.54818284
Coefficient of variation (CV)0.05716589177
Kurtosis308
Mean149.5329221
Median Absolute Deviation (MAD)0
Skewness-17.54992877
Sum46056.14
Variance73.07142987
MonotonicityNot monotonic
2023-02-03T16:03:16.968676image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
150.02307
99.7%
01
 
0.3%
ValueCountFrequency (%)
01
 
0.3%
150.02307
99.7%
ValueCountFrequency (%)
150.02307
99.7%
01
 
0.3%

E77_SpecificPressureMaximum
Real number (ℝ≥0)

Distinct68
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean300.6168831
Minimum0
Maximum375
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:17.070904image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile224
Q1276
median305
Q3323
95-th percentile371
Maximum375
Range375
Interquartile range (IQR)47

Descriptive statistics

Standard deviation45.12136339
Coefficient of variation (CV)0.1500959059
Kurtosis5.310459638
Mean300.6168831
Median Absolute Deviation (MAD)28
Skewness-0.9056899942
Sum92590
Variance2035.937434
MonotonicityNot monotonic
2023-02-03T16:03:17.163004image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30531
 
10.1%
30626
 
8.4%
27615
 
4.9%
30413
 
4.2%
2248
 
2.6%
3698
 
2.6%
3087
 
2.3%
3027
 
2.3%
3477
 
2.3%
3706
 
1.9%
Other values (58)180
58.4%
ValueCountFrequency (%)
01
 
0.3%
2224
1.3%
2235
1.6%
2248
2.6%
2263
 
1.0%
ValueCountFrequency (%)
3754
1.3%
3744
1.3%
3735
1.6%
3722
 
0.6%
3714
1.3%

E77_TransferCavityPressure
Real number (ℝ≥0)

Distinct35
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.83766234
Minimum0
Maximum77
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:17.264740image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38
Q145
median58
Q363
95-th percentile77
Maximum77
Range77
Interquartile range (IQR)18

Descriptive statistics

Standard deviation12.25275122
Coefficient of variation (CV)0.2194352469
Kurtosis0.2450645085
Mean55.83766234
Median Absolute Deviation (MAD)9
Skewness-0.1479738195
Sum17198
Variance150.1299124
MonotonicityNot monotonic
2023-02-03T16:03:17.357577image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
5331
 
10.1%
5927
 
8.8%
5826
 
8.4%
7718
 
5.8%
4118
 
5.8%
4515
 
4.9%
7614
 
4.5%
4012
 
3.9%
7112
 
3.9%
4411
 
3.6%
Other values (25)124
40.3%
ValueCountFrequency (%)
01
 
0.3%
352
 
0.6%
366
1.9%
373
1.0%
385
1.6%
ValueCountFrequency (%)
7718
5.8%
7614
4.5%
751
 
0.3%
729
2.9%
7112
3.9%

E77_TransferSpecificPressure
Real number (ℝ≥0)

Distinct56
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean214.3831169
Minimum0
Maximum263
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:17.456590image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile171
Q1182
median204
Q3249
95-th percentile259
Maximum263
Range263
Interquartile range (IQR)67

Descriptive statistics

Standard deviation35.94054048
Coefficient of variation (CV)0.1676463194
Kurtosis2.197199821
Mean214.3831169
Median Absolute Deviation (MAD)32
Skewness-0.581335394
Sum66030
Variance1291.72245
MonotonicityNot monotonic
2023-02-03T16:03:17.559254image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25923
 
7.5%
19017
 
5.5%
24313
 
4.2%
23712
 
3.9%
18811
 
3.6%
18910
 
3.2%
17110
 
3.2%
25810
 
3.2%
17410
 
3.2%
1799
 
2.9%
Other values (46)183
59.4%
ValueCountFrequency (%)
01
 
0.3%
1691
 
0.3%
1705
1.6%
17110
3.2%
1722
 
0.6%
ValueCountFrequency (%)
2632
 
0.6%
2623
 
1.0%
2612
 
0.6%
2604
 
1.3%
25923
7.5%

E77_TransferStroke
Real number (ℝ≥0)

Distinct34
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.18747143
Minimum24.3045
Maximum27.841
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:17.652661image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum24.3045
5-th percentile24.3045
Q125.274575
median26.1307
Q327.101525
95-th percentile27.6319
Maximum27.841
Range3.5365
Interquartile range (IQR)1.82695

Descriptive statistics

Standard deviation1.084463434
Coefficient of variation (CV)0.0414115367
Kurtosis-1.121934997
Mean26.18747143
Median Absolute Deviation (MAD)0.99465
Skewness-0.2473188883
Sum8065.7412
Variance1.17606094
MonotonicityNot monotonic
2023-02-03T16:03:17.735833image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
27.32920
 
6.5%
27.026119
 
6.2%
26.399118
 
5.8%
24.304517
 
5.5%
24.304616
 
5.2%
25.036814
 
4.5%
24.938314
 
4.5%
25.868412
 
3.9%
27.440711
 
3.6%
27.010511
 
3.6%
Other values (24)156
50.6%
ValueCountFrequency (%)
24.304517
5.5%
24.304616
5.2%
24.93828
2.6%
24.938314
4.5%
25.036814
4.5%
ValueCountFrequency (%)
27.84111
3.6%
27.631911
3.6%
27.63141
 
0.3%
27.631310
3.2%
27.440711
3.6%

E77_TransferVolume
Real number (ℝ≥0)

Distinct17
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.19392857
Minimum23.38
Maximum26.79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:17.817633image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum23.38
5-th percentile23.38
Q124.315
median25.14
Q326.0725
95-th percentile26.58
Maximum26.79
Range3.41
Interquartile range (IQR)1.7575

Descriptive statistics

Standard deviation1.04365236
Coefficient of variation (CV)0.04142475665
Kurtosis-1.119020584
Mean25.19392857
Median Absolute Deviation (MAD)0.955
Skewness-0.2495924321
Sum7759.73
Variance1.089210249
MonotonicityNot monotonic
2023-02-03T16:03:17.887518image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
23.3833
10.7%
26.2933
10.7%
25.422
 
7.1%
23.9922
 
7.1%
25.0922
 
7.1%
2622
 
7.1%
24.8922
 
7.1%
26.5822
 
7.1%
24.0922
 
7.1%
25.911
 
3.6%
Other values (7)77
25.0%
ValueCountFrequency (%)
23.3833
10.7%
23.9922
7.1%
24.0922
7.1%
24.3911
 
3.6%
24.5911
 
3.6%
ValueCountFrequency (%)
26.7911
 
3.6%
26.5822
7.1%
26.411
 
3.6%
26.2933
10.7%
2622
7.1%

ENV_AirHumidity
Real number (ℝ≥0)

Distinct206
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.83954545
Minimum31.01
Maximum54.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:17.971248image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum31.01
5-th percentile32.6
Q136.3425
median41.8
Q343.75
95-th percentile53.5
Maximum54.9
Range23.89
Interquartile range (IQR)7.4075

Descriptive statistics

Standard deviation5.78521775
Coefficient of variation (CV)0.1416572512
Kurtosis-0.01697257772
Mean40.83954545
Median Absolute Deviation (MAD)2.7
Skewness0.3209393429
Sum12578.58
Variance33.46874442
MonotonicityNot monotonic
2023-02-03T16:03:18.074214image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42.18
 
2.6%
42.87
 
2.3%
41.67
 
2.3%
41.87
 
2.3%
54.67
 
2.3%
43.85
 
1.6%
33.75
 
1.6%
32.65
 
1.6%
33.55
 
1.6%
33.84
 
1.3%
Other values (196)248
80.5%
ValueCountFrequency (%)
31.011
 
0.3%
31.051
 
0.3%
31.14
1.3%
31.131
 
0.3%
31.171
 
0.3%
ValueCountFrequency (%)
54.91
 
0.3%
54.781
 
0.3%
54.67
2.3%
54.51
 
0.3%
54.151
 
0.3%

ENV_AirTemperature
Real number (ℝ≥0)

Distinct127
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.60717532
Minimum15.7
Maximum25.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:18.187154image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum15.7
5-th percentile17.721
Q121
median21.8
Q322.9
95-th percentile23.5685
Maximum25.7
Range10
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation1.853447745
Coefficient of variation (CV)0.08577927086
Kurtosis2.049863039
Mean21.60717532
Median Absolute Deviation (MAD)1
Skewness-1.121509076
Sum6655.01
Variance3.435268542
MonotonicityNot monotonic
2023-02-03T16:03:18.289334image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.815
 
4.9%
23.413
 
4.2%
2112
 
3.9%
22.812
 
3.9%
21.211
 
3.6%
23.311
 
3.6%
21.910
 
3.2%
22.39
 
2.9%
21.49
 
2.9%
21.78
 
2.6%
Other values (117)198
64.3%
ValueCountFrequency (%)
15.76
1.9%
15.771
 
0.3%
15.881
 
0.3%
15.92
 
0.6%
16.411
 
0.3%
ValueCountFrequency (%)
25.72
0.6%
25.511
0.3%
25.421
0.3%
25.31
0.3%
25.031
0.3%

CV_Warpage
Real number (ℝ≥0)

Distinct163
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.2787013
Minimum22.42
Maximum71.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:18.391844image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum22.42
5-th percentile23.8805
Q130.6575
median30.935
Q331.2125
95-th percentile32.142
Maximum71.31
Range48.89
Interquartile range (IQR)0.555

Descriptive statistics

Standard deviation6.236125415
Coefficient of variation (CV)0.1993729009
Kurtosis31.39216058
Mean31.2787013
Median Absolute Deviation (MAD)0.28
Skewness5.30917223
Sum9633.84
Variance38.8892602
MonotonicityNot monotonic
2023-02-03T16:03:18.499068image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.868
 
2.6%
30.938
 
2.6%
30.795
 
1.6%
30.995
 
1.6%
31.025
 
1.6%
30.815
 
1.6%
31.035
 
1.6%
30.685
 
1.6%
30.964
 
1.3%
31.044
 
1.3%
Other values (153)254
82.5%
ValueCountFrequency (%)
22.421
0.3%
23.321
0.3%
23.371
0.3%
23.392
0.6%
23.541
0.3%
ValueCountFrequency (%)
71.311
0.3%
69.891
0.3%
69.711
0.3%
69.671
0.3%
69.611
0.3%

IR_Img1TempSprue
Real number (ℝ≥0)

Distinct266
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.19224026
Minimum38.13
Maximum90.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:18.614250image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum38.13
5-th percentile45.587
Q147.92
median61.71
Q378.6975
95-th percentile89.6065
Maximum90.81
Range52.68
Interquartile range (IQR)30.7775

Descriptive statistics

Standard deviation16.43343937
Coefficient of variation (CV)0.2520766168
Kurtosis-1.5687561
Mean65.19224026
Median Absolute Deviation (MAD)15.54
Skewness0.1508963286
Sum20079.21
Variance270.0579295
MonotonicityNot monotonic
2023-02-03T16:03:18.717045image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.174
 
1.3%
45.833
 
1.0%
90.742
 
0.6%
46.322
 
0.6%
46.362
 
0.6%
45.882
 
0.6%
89.272
 
0.6%
61.482
 
0.6%
61.432
 
0.6%
77.032
 
0.6%
Other values (256)285
92.5%
ValueCountFrequency (%)
38.131
0.3%
45.241
0.3%
45.31
0.3%
45.311
0.3%
45.381
0.3%
ValueCountFrequency (%)
90.811
0.3%
90.751
0.3%
90.742
0.6%
90.731
0.3%
90.721
0.3%

IR_Img2TempSprue
Real number (ℝ≥0)

Distinct279
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.30996753
Minimum45.09
Maximum89.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:19.284887image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum45.09
5-th percentile45.4235
Q149.2925
median61.65
Q376.715
95-th percentile87.973
Maximum89.41
Range44.32
Interquartile range (IQR)27.4225

Descriptive statistics

Standard deviation15.57985558
Coefficient of variation (CV)0.2422619103
Kurtosis-1.526902901
Mean64.30996753
Median Absolute Deviation (MAD)14.44
Skewness0.1752336576
Sum19807.47
Variance242.7319
MonotonicityNot monotonic
2023-02-03T16:03:19.388093image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45.824
 
1.3%
75.13
 
1.0%
45.413
 
1.0%
51.733
 
1.0%
74.23
 
1.0%
50.572
 
0.6%
60.362
 
0.6%
46.312
 
0.6%
88.012
 
0.6%
47.122
 
0.6%
Other values (269)282
91.6%
ValueCountFrequency (%)
45.091
0.3%
45.141
0.3%
45.181
0.3%
45.211
0.3%
45.241
0.3%
ValueCountFrequency (%)
89.411
0.3%
89.41
0.3%
89.391
0.3%
89.351
0.3%
89.341
0.3%

IR_Img1TempDome
Real number (ℝ≥0)

Distinct233
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.39954545
Minimum22.88
Maximum71.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:19.479750image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum22.88
5-th percentile40.4835
Q141.525
median55.265
Q369.21
95-th percentile70.85
Maximum71.44
Range48.56
Interquartile range (IQR)27.685

Descriptive statistics

Standard deviation13.27077924
Coefficient of variation (CV)0.239546717
Kurtosis-1.749624682
Mean55.39954545
Median Absolute Deviation (MAD)13.91
Skewness-0.01900517645
Sum17063.06
Variance176.1135816
MonotonicityNot monotonic
2023-02-03T16:03:19.582338image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.854
 
1.3%
40.964
 
1.3%
40.443
 
1.0%
40.973
 
1.0%
68.583
 
1.0%
70.553
 
1.0%
70.853
 
1.0%
68.963
 
1.0%
68.723
 
1.0%
69.193
 
1.0%
Other values (223)276
89.6%
ValueCountFrequency (%)
22.881
0.3%
40.21
0.3%
40.291
0.3%
40.311
0.3%
40.351
0.3%
ValueCountFrequency (%)
71.441
0.3%
71.31
0.3%
71.281
0.3%
71.261
0.3%
71.252
0.6%

IR_Img2TempDome
Real number (ℝ≥0)

Distinct251
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.88198052
Minimum38.66
Maximum67.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:19.685177image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum38.66
5-th percentile38.9205
Q139.9175
median52.64
Q365.5225
95-th percentile67.273
Maximum67.77
Range29.11
Interquartile range (IQR)25.605

Descriptive statistics

Standard deviation12.19408853
Coefficient of variation (CV)0.2305906173
Kurtosis-1.825374708
Mean52.88198052
Median Absolute Deviation (MAD)12.8
Skewness0.002113002881
Sum16287.65
Variance148.6957951
MonotonicityNot monotonic
2023-02-03T16:03:19.787053image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.844
 
1.3%
54.223
 
1.0%
39.063
 
1.0%
67.053
 
1.0%
65.563
 
1.0%
40.453
 
1.0%
38.913
 
1.0%
64.823
 
1.0%
67.123
 
1.0%
39.013
 
1.0%
Other values (241)277
89.9%
ValueCountFrequency (%)
38.662
0.6%
38.681
0.3%
38.721
0.3%
38.751
0.3%
38.761
0.3%
ValueCountFrequency (%)
67.771
0.3%
67.721
0.3%
67.642
0.6%
67.621
0.3%
67.61
0.3%

IR_Img1TempFull
Real number (ℝ≥0)

Distinct218
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.7749026
Minimum37.17
Maximum67.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:19.889000image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum37.17
5-th percentile37.3935
Q138.3775
median51.48
Q364.8925
95-th percentile66.813
Maximum67.26
Range30.09
Interquartile range (IQR)26.515

Descriptive statistics

Standard deviation12.7071806
Coefficient of variation (CV)0.2454312796
Kurtosis-1.825069197
Mean51.7749026
Median Absolute Deviation (MAD)13.365
Skewness0.0162428291
Sum15946.67
Variance161.4724388
MonotonicityNot monotonic
2023-02-03T16:03:19.993436image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.384
 
1.3%
37.794
 
1.3%
37.44
 
1.3%
64.584
 
1.3%
37.694
 
1.3%
39.163
 
1.0%
39.153
 
1.0%
37.373
 
1.0%
64.813
 
1.0%
64.53
 
1.0%
Other values (208)273
88.6%
ValueCountFrequency (%)
37.171
 
0.3%
37.241
 
0.3%
37.251
 
0.3%
37.322
0.6%
37.343
1.0%
ValueCountFrequency (%)
67.261
0.3%
67.161
0.3%
67.121
0.3%
67.112
0.6%
67.12
0.6%

IR_Img2TempFull
Real number (ℝ≥0)

Distinct230
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.06863636
Minimum36.34
Maximum64.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:20.093823image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum36.34
5-th percentile36.5835
Q137.5475
median49.68
Q362.01
95-th percentile64.3065
Maximum64.75
Range28.41
Interquartile range (IQR)24.4625

Descriptive statistics

Standard deviation11.80242525
Coefficient of variation (CV)0.235724919
Kurtosis-1.818110472
Mean50.06863636
Median Absolute Deviation (MAD)12.235
Skewness0.008562831686
Sum15421.14
Variance139.2972418
MonotonicityNot monotonic
2023-02-03T16:03:20.187973image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.625
 
1.6%
61.573
 
1.0%
38.323
 
1.0%
49.863
 
1.0%
49.63
 
1.0%
64.133
 
1.0%
61.73
 
1.0%
61.453
 
1.0%
64.063
 
1.0%
36.423
 
1.0%
Other values (220)276
89.6%
ValueCountFrequency (%)
36.341
 
0.3%
36.371
 
0.3%
36.382
0.6%
36.41
 
0.3%
36.423
1.0%
ValueCountFrequency (%)
64.751
0.3%
64.621
0.3%
64.611
0.3%
64.591
0.3%
64.581
0.3%

IR_Img1TempEdgeHor
Real number (ℝ≥0)

Distinct239
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.21045455
Minimum38.57
Maximum70.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:20.288392image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum38.57
5-th percentile38.83
Q139.9975
median53.915
Q368.0025
95-th percentile70.4595
Maximum70.88
Range32.31
Interquartile range (IQR)28.005

Descriptive statistics

Standard deviation13.49685527
Coefficient of variation (CV)0.2489714462
Kurtosis-1.819108081
Mean54.21045455
Median Absolute Deviation (MAD)14.09
Skewness0.01745339161
Sum16696.82
Variance182.1651021
MonotonicityNot monotonic
2023-02-03T16:03:20.390754image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70.323
 
1.0%
39.483
 
1.0%
39.293
 
1.0%
67.393
 
1.0%
67.433
 
1.0%
67.83
 
1.0%
38.783
 
1.0%
38.823
 
1.0%
53.643
 
1.0%
40.753
 
1.0%
Other values (229)278
90.3%
ValueCountFrequency (%)
38.571
0.3%
38.641
0.3%
38.651
0.3%
38.721
0.3%
38.751
0.3%
ValueCountFrequency (%)
70.881
0.3%
70.851
0.3%
70.781
0.3%
70.761
0.3%
70.742
0.6%

IR_Img2TempEdgeHor
Real number (ℝ≥0)

Distinct250
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.30025974
Minimum38.02
Maximum69.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:20.493321image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum38.02
5-th percentile38.51
Q139.545
median52.84
Q366.155
95-th percentile69.219
Maximum69.65
Range31.63
Interquartile range (IQR)26.61

Descriptive statistics

Standard deviation12.90928789
Coefficient of variation (CV)0.2421993431
Kurtosis-1.806817319
Mean53.30025974
Median Absolute Deviation (MAD)13.305
Skewness0.01310507196
Sum16416.48
Variance166.6497139
MonotonicityNot monotonic
2023-02-03T16:03:20.598071image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.724
 
1.3%
65.644
 
1.3%
39.034
 
1.3%
69.553
 
1.0%
40.643
 
1.0%
38.533
 
1.0%
40.443
 
1.0%
52.742
 
0.6%
52.852
 
0.6%
52.682
 
0.6%
Other values (240)278
90.3%
ValueCountFrequency (%)
38.021
0.3%
38.291
0.3%
38.31
0.3%
38.331
0.3%
38.361
0.3%
ValueCountFrequency (%)
69.651
 
0.3%
69.591
 
0.3%
69.571
 
0.3%
69.553
1.0%
69.541
 
0.3%

IR_Img1TempEdgeVer
Real number (ℝ≥0)

Distinct225
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.44724026
Minimum35.72
Maximum65.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:20.705559image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum35.72
5-th percentile36.37
Q137.2975
median50.385
Q363.06
95-th percentile65.2965
Maximum65.47
Range29.75
Interquartile range (IQR)25.7625

Descriptive statistics

Standard deviation12.38005964
Coefficient of variation (CV)0.2454060832
Kurtosis-1.819975818
Mean50.44724026
Median Absolute Deviation (MAD)12.92
Skewness0.007653613488
Sum15537.75
Variance153.2658767
MonotonicityNot monotonic
2023-02-03T16:03:20.799094image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.384
 
1.3%
37.073
 
1.0%
62.583
 
1.0%
62.993
 
1.0%
63.063
 
1.0%
37.33
 
1.0%
62.723
 
1.0%
65.063
 
1.0%
37.973
 
1.0%
36.53
 
1.0%
Other values (215)277
89.9%
ValueCountFrequency (%)
35.721
0.3%
35.81
0.3%
35.91
0.3%
35.911
0.3%
35.952
0.6%
ValueCountFrequency (%)
65.472
0.6%
65.441
0.3%
65.421
0.3%
65.411
0.3%
65.42
0.6%

IR_Img2TempEdgeVer
Real number (ℝ≥0)

Distinct247
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.80555195
Minimum34.7
Maximum63.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:20.901333image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum34.7
5-th percentile35.6535
Q136.6875
median48.61
Q360.325
95-th percentile63.1
Maximum63.3
Range28.6
Interquartile range (IQR)23.6375

Descriptive statistics

Standard deviation11.52046716
Coefficient of variation (CV)0.2360482916
Kurtosis-1.805175347
Mean48.80555195
Median Absolute Deviation (MAD)11.88
Skewness0.01410271555
Sum15032.11
Variance132.7211635
MonotonicityNot monotonic
2023-02-03T16:03:21.001186image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63.194
 
1.3%
63.273
 
1.0%
62.833
 
1.0%
35.873
 
1.0%
35.693
 
1.0%
59.993
 
1.0%
62.752
 
0.6%
36.472
 
0.6%
62.952
 
0.6%
36.742
 
0.6%
Other values (237)281
91.2%
ValueCountFrequency (%)
34.71
0.3%
34.722
0.6%
34.731
0.3%
34.791
0.3%
34.851
0.3%
ValueCountFrequency (%)
63.31
 
0.3%
63.273
1.0%
63.221
 
0.3%
63.212
0.6%
63.21
 
0.3%

IR_Img1TempGradHorStd
Real number (ℝ≥0)

Distinct176
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06394155844
Minimum0.0497
Maximum0.501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:21.103556image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0497
5-th percentile0.05207
Q10.0567
median0.0611
Q30.069025
95-th percentile0.0752
Maximum0.501
Range0.4513
Interquartile range (IQR)0.012325

Descriptive statistics

Standard deviation0.02603444649
Coefficient of variation (CV)0.4071600243
Kurtosis260.8087981
Mean0.06394155844
Median Absolute Deviation (MAD)0.00555
Skewness15.50745754
Sum19.694
Variance0.0006777924041
MonotonicityNot monotonic
2023-02-03T16:03:21.201942image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05677
 
2.3%
0.07036
 
1.9%
0.05825
 
1.6%
0.07025
 
1.6%
0.05954
 
1.3%
0.0574
 
1.3%
0.05734
 
1.3%
0.06334
 
1.3%
0.05494
 
1.3%
0.05854
 
1.3%
Other values (166)261
84.7%
ValueCountFrequency (%)
0.04972
0.6%
0.04991
0.3%
0.05021
0.3%
0.05072
0.6%
0.05081
0.3%
ValueCountFrequency (%)
0.5011
0.3%
0.08531
0.3%
0.08171
0.3%
0.08121
0.3%
0.07931
0.3%

IR_Img2TempGradHorStd
Real number (ℝ≥0)

Distinct187
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06206688312
Minimum0.0467
Maximum0.0858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:21.300024image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0467
5-th percentile0.05267
Q10.056275
median0.06145
Q30.067
95-th percentile0.074595
Maximum0.0858
Range0.0391
Interquartile range (IQR)0.010725

Descriptive statistics

Standard deviation0.007155850482
Coefficient of variation (CV)0.1152925702
Kurtosis-0.1063803317
Mean0.06206688312
Median Absolute Deviation (MAD)0.00525
Skewness0.5324695556
Sum19.1166
Variance5.120619612 × 10-5
MonotonicityNot monotonic
2023-02-03T16:03:21.404794image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06675
 
1.6%
0.06525
 
1.6%
0.05685
 
1.6%
0.05494
 
1.3%
0.0564
 
1.3%
0.05674
 
1.3%
0.0694
 
1.3%
0.06474
 
1.3%
0.05664
 
1.3%
0.05624
 
1.3%
Other values (177)265
86.0%
ValueCountFrequency (%)
0.04671
0.3%
0.04931
0.3%
0.04971
0.3%
0.051
0.3%
0.05011
0.3%
ValueCountFrequency (%)
0.08581
0.3%
0.08461
0.3%
0.08181
0.3%
0.08151
0.3%
0.07911
0.3%

IR_Img1TempGradHorRng
Real number (ℝ≥0)

Distinct11
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3813311688
Minimum0.2
Maximum2.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:21.494539image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.25
Q10.3
median0.35
Q30.4
95-th percentile0.5
Maximum2.5
Range2.3
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.1467359771
Coefficient of variation (CV)0.3847993269
Kurtosis141.6579078
Mean0.3813311688
Median Absolute Deviation (MAD)0.05
Skewness9.956000369
Sum117.45
Variance0.02153144697
MonotonicityNot monotonic
2023-02-03T16:03:21.564168image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.3581
26.3%
0.373
23.7%
0.456
18.2%
0.532
 
10.4%
0.4529
 
9.4%
0.2522
 
7.1%
0.557
 
2.3%
0.65
 
1.6%
2.51
 
0.3%
0.21
 
0.3%
ValueCountFrequency (%)
0.21
 
0.3%
0.2522
 
7.1%
0.373
23.7%
0.3581
26.3%
0.456
18.2%
ValueCountFrequency (%)
2.51
 
0.3%
0.71
 
0.3%
0.65
 
1.6%
0.557
 
2.3%
0.532
10.4%

IR_Img2TempGradHorRng
Real number (ℝ≥0)

Distinct11
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3719155844
Minimum0.2
Maximum0.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:21.630811image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.25
Q10.3
median0.35
Q30.4
95-th percentile0.5
Maximum0.7
Range0.5
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.07999531349
Coefficient of variation (CV)0.2150899743
Kurtosis1.981005903
Mean0.3719155844
Median Absolute Deviation (MAD)0.05
Skewness1.15264304
Sum114.55
Variance0.00639925018
MonotonicityNot monotonic
2023-02-03T16:03:21.699907image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.35113
36.7%
0.363
20.5%
0.450
16.2%
0.4529
 
9.4%
0.520
 
6.5%
0.2518
 
5.8%
0.556
 
1.9%
0.65
 
1.6%
0.72
 
0.6%
0.651
 
0.3%
ValueCountFrequency (%)
0.21
 
0.3%
0.2518
 
5.8%
0.363
20.5%
0.35113
36.7%
0.450
16.2%
ValueCountFrequency (%)
0.72
 
0.6%
0.651
 
0.3%
0.65
 
1.6%
0.556
 
1.9%
0.520
6.5%

IR_Img1TempGradVerStd
Real number (ℝ≥0)

Distinct174
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06937272727
Minimum0.0435
Maximum0.1184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:21.792278image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0435
5-th percentile0.0534
Q10.06355
median0.06945
Q30.0747
95-th percentile0.0841
Maximum0.1184
Range0.0749
Interquartile range (IQR)0.01115

Descriptive statistics

Standard deviation0.009420936368
Coefficient of variation (CV)0.1358017298
Kurtosis2.016955977
Mean0.06937272727
Median Absolute Deviation (MAD)0.00545
Skewness0.4162952284
Sum21.3668
Variance8.875404205 × 10-5
MonotonicityNot monotonic
2023-02-03T16:03:21.904562image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06766
 
1.9%
0.0625
 
1.6%
0.06985
 
1.6%
0.07155
 
1.6%
0.07325
 
1.6%
0.06335
 
1.6%
0.06534
 
1.3%
0.06944
 
1.3%
0.07024
 
1.3%
0.07054
 
1.3%
Other values (164)261
84.7%
ValueCountFrequency (%)
0.04351
0.3%
0.04611
0.3%
0.04911
0.3%
0.04941
0.3%
0.051
0.3%
ValueCountFrequency (%)
0.11841
0.3%
0.09611
0.3%
0.09351
0.3%
0.09211
0.3%
0.09051
0.3%

IR_Img2TempGradVerStd
Real number (ℝ≥0)

Distinct200
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07502597403
Minimum0.0428
Maximum0.1037
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:22.017305image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0428
5-th percentile0.058835
Q10.0689
median0.0748
Q30.081975
95-th percentile0.0917
Maximum0.1037
Range0.0609
Interquartile range (IQR)0.013075

Descriptive statistics

Standard deviation0.009865141508
Coefficient of variation (CV)0.1314896825
Kurtosis0.05870647725
Mean0.07502597403
Median Absolute Deviation (MAD)0.0066
Skewness-0.08816566516
Sum23.108
Variance9.732101696 × 10-5
MonotonicityNot monotonic
2023-02-03T16:03:22.119793image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07034
 
1.3%
0.06434
 
1.3%
0.06444
 
1.3%
0.08264
 
1.3%
0.07854
 
1.3%
0.06894
 
1.3%
0.074
 
1.3%
0.07774
 
1.3%
0.07454
 
1.3%
0.06943
 
1.0%
Other values (190)269
87.3%
ValueCountFrequency (%)
0.04281
0.3%
0.04481
0.3%
0.05171
0.3%
0.05241
0.3%
0.05321
0.3%
ValueCountFrequency (%)
0.10371
0.3%
0.09721
0.3%
0.0971
0.3%
0.09621
0.3%
0.09551
0.3%

IR_Img1TempGradVerRng
Real number (ℝ≥0)

Distinct8
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3112012987
Minimum0.15
Maximum0.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:22.214620image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.15
5-th percentile0.2
Q10.25
median0.3
Q30.35
95-th percentile0.4
Maximum0.5
Range0.35
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.06339616198
Coefficient of variation (CV)0.2037143233
Kurtosis0.01340852147
Mean0.3112012987
Median Absolute Deviation (MAD)0.05
Skewness0.1219832572
Sum95.85
Variance0.004019073353
MonotonicityNot monotonic
2023-02-03T16:03:22.273279image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.393
30.2%
0.3586
27.9%
0.2558
18.8%
0.433
 
10.7%
0.226
 
8.4%
0.457
 
2.3%
0.53
 
1.0%
0.152
 
0.6%
ValueCountFrequency (%)
0.152
 
0.6%
0.226
 
8.4%
0.2558
18.8%
0.393
30.2%
0.3586
27.9%
ValueCountFrequency (%)
0.53
 
1.0%
0.457
 
2.3%
0.433
 
10.7%
0.3586
27.9%
0.393
30.2%

IR_Img2TempGradVerRng
Real number (ℝ≥0)

Distinct8
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3327922078
Minimum0.2
Maximum0.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:22.352906image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.25
Q10.3
median0.35
Q30.35
95-th percentile0.45
Maximum0.55
Range0.35
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.06665088932
Coefficient of variation (CV)0.2002777942
Kurtosis0.4121335906
Mean0.3327922078
Median Absolute Deviation (MAD)0.05
Skewness0.3595829179
Sum102.5
Variance0.004442341047
MonotonicityNot monotonic
2023-02-03T16:03:22.423658image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.3597
31.5%
0.388
28.6%
0.444
14.3%
0.2539
12.7%
0.4516
 
5.2%
0.215
 
4.9%
0.57
 
2.3%
0.552
 
0.6%
ValueCountFrequency (%)
0.215
 
4.9%
0.2539
12.7%
0.388
28.6%
0.3597
31.5%
0.444
14.3%
ValueCountFrequency (%)
0.552
 
0.6%
0.57
 
2.3%
0.4516
 
5.2%
0.444
14.3%
0.3597
31.5%

IR_Img1TempVerStd
Real number (ℝ≥0)

Distinct257
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1536597403
Minimum0.0702
Maximum1.0772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:22.514867image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0702
5-th percentile0.09704
Q10.123375
median0.14755
Q30.1729
95-th percentile0.213925
Maximum1.0772
Range1.007
Interquartile range (IQR)0.049525

Descriptive statistics

Standard deviation0.06430935112
Coefficient of variation (CV)0.4185178955
Kurtosis138.5877998
Mean0.1536597403
Median Absolute Deviation (MAD)0.025
Skewness9.76581809
Sum47.3272
Variance0.004135692641
MonotonicityNot monotonic
2023-02-03T16:03:22.619783image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.12054
 
1.3%
0.15773
 
1.0%
0.12883
 
1.0%
0.15483
 
1.0%
0.14132
 
0.6%
0.11372
 
0.6%
0.13362
 
0.6%
0.09822
 
0.6%
0.12122
 
0.6%
0.09682
 
0.6%
Other values (247)283
91.9%
ValueCountFrequency (%)
0.07021
0.3%
0.07371
0.3%
0.08551
0.3%
0.08592
0.6%
0.08811
0.3%
ValueCountFrequency (%)
1.07721
0.3%
0.29051
0.3%
0.26611
0.3%
0.25011
0.3%
0.24911
0.3%

IR_Img2TempVerStd
Real number (ℝ≥0)

Distinct280
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2024993506
Minimum0.0749
Maximum0.3763
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:22.714036image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0749
5-th percentile0.10217
Q10.129375
median0.19455
Q30.27195
95-th percentile0.332025
Maximum0.3763
Range0.3014
Interquartile range (IQR)0.142575

Descriptive statistics

Standard deviation0.07940117082
Coefficient of variation (CV)0.3921058046
Kurtosis-1.294060708
Mean0.2024993506
Median Absolute Deviation (MAD)0.06965
Skewness0.2896171423
Sum62.3698
Variance0.006304545928
MonotonicityNot monotonic
2023-02-03T16:03:22.824705image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1293
 
1.0%
0.14693
 
1.0%
0.152
 
0.6%
0.11522
 
0.6%
0.26682
 
0.6%
0.11912
 
0.6%
0.18082
 
0.6%
0.28962
 
0.6%
0.11052
 
0.6%
0.26132
 
0.6%
Other values (270)286
92.9%
ValueCountFrequency (%)
0.07491
0.3%
0.0871
0.3%
0.08711
0.3%
0.08781
0.3%
0.08841
0.3%
ValueCountFrequency (%)
0.37631
0.3%
0.36051
0.3%
0.35461
0.3%
0.35331
0.3%
0.3481
0.3%

IR_Img1TempVerRng
Real number (ℝ≥0)

Distinct10
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.637987013
Minimum0.3
Maximum3.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:22.908396image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.4
Q10.5
median0.6
Q30.7
95-th percentile0.9
Maximum3.7
Range3.4
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.2360474746
Coefficient of variation (CV)0.3699878991
Kurtosis91.5668685
Mean0.637987013
Median Absolute Deviation (MAD)0.1
Skewness7.196990172
Sum196.5
Variance0.05571841025
MonotonicityNot monotonic
2023-02-03T16:03:22.979196image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.673
23.7%
0.567
21.8%
0.761
19.8%
0.840
13.0%
0.432
10.4%
0.919
 
6.2%
18
 
2.6%
0.36
 
1.9%
1.11
 
0.3%
3.71
 
0.3%
ValueCountFrequency (%)
0.36
 
1.9%
0.432
10.4%
0.567
21.8%
0.673
23.7%
0.761
19.8%
ValueCountFrequency (%)
3.71
 
0.3%
1.11
 
0.3%
18
 
2.6%
0.919
6.2%
0.840
13.0%

IR_Img2TempVerRng
Real number (ℝ≥0)

Distinct12
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7928571429
Minimum0.3
Maximum1.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:23.052453image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.4
Q10.5
median0.8
Q31
95-th percentile1.2
Maximum1.4
Range1.1
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.2783401577
Coefficient of variation (CV)0.3510596583
Kurtosis-1.146829044
Mean0.7928571429
Median Absolute Deviation (MAD)0.2
Skewness0.2283328123
Sum244.2
Variance0.07747324337
MonotonicityNot monotonic
2023-02-03T16:03:23.123971image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.553
17.2%
0.644
14.3%
140
13.0%
1.130
9.7%
0.829
9.4%
0.425
8.1%
0.723
7.5%
0.923
7.5%
1.223
7.5%
1.312
 
3.9%
Other values (2)6
 
1.9%
ValueCountFrequency (%)
0.33
 
1.0%
0.425
8.1%
0.553
17.2%
0.644
14.3%
0.723
7.5%
ValueCountFrequency (%)
1.43
 
1.0%
1.312
 
3.9%
1.223
7.5%
1.130
9.7%
140
13.0%

IR_Img1TempSprueDiff
Real number (ℝ)

Distinct262
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.71798701
Minimum-13.35
Maximum39.34
Zeros0
Zeros (%)0.0%
Negative90
Negative (%)29.2%
Memory size4.8 KiB
2023-02-03T16:03:23.213947image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-13.35
5-th percentile-5.883
Q1-3.5575
median10.235
Q327.2175
95-th percentile38.1365
Maximum39.34
Range52.69
Interquartile range (IQR)30.775

Descriptive statistics

Standard deviation16.43337332
Coefficient of variation (CV)1.197943496
Kurtosis-1.568736156
Mean13.71798701
Median Absolute Deviation (MAD)15.535
Skewness0.1509131309
Sum4225.14
Variance270.0557588
MonotonicityNot monotonic
2023-02-03T16:03:23.315885image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.33
 
1.0%
-5.863
 
1.0%
26.353
 
1.0%
0.972
 
0.6%
-0.672
 
0.6%
-5.52
 
0.6%
-5.852
 
0.6%
25.082
 
0.6%
25.312
 
0.6%
-5.152
 
0.6%
Other values (252)285
92.5%
ValueCountFrequency (%)
-13.351
0.3%
-6.231
0.3%
-6.172
0.6%
-6.092
0.6%
-6.081
0.3%
ValueCountFrequency (%)
39.341
0.3%
39.281
0.3%
39.271
0.3%
39.261
0.3%
39.252
0.6%

IR_Img2TempSprueDiff
Real number (ℝ)

Distinct277
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.83532468
Minimum-6.39
Maximum37.93
Zeros1
Zeros (%)0.3%
Negative93
Negative (%)30.2%
Memory size4.8 KiB
2023-02-03T16:03:23.411365image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-6.39
5-th percentile-6.0465
Q1-2.18
median10.17
Q325.245
95-th percentile36.4965
Maximum37.93
Range44.32
Interquartile range (IQR)27.425

Descriptive statistics

Standard deviation15.58012988
Coefficient of variation (CV)1.213847743
Kurtosis-1.526843116
Mean12.83532468
Median Absolute Deviation (MAD)14.44
Skewness0.1752175839
Sum3953.28
Variance242.7404471
MonotonicityNot monotonic
2023-02-03T16:03:23.513648image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.724
 
1.3%
8.893
 
1.0%
-6.063
 
1.0%
23.633
 
1.0%
-4.952
 
0.6%
0.492
 
0.6%
-5.222
 
0.6%
-5.162
 
0.6%
23.822
 
0.6%
36.422
 
0.6%
Other values (267)283
91.9%
ValueCountFrequency (%)
-6.391
0.3%
-6.341
0.3%
-6.291
0.3%
-6.261
0.3%
-6.231
0.3%
ValueCountFrequency (%)
37.932
0.6%
37.921
0.3%
37.881
0.3%
37.871
0.3%
37.81
0.3%

IR_Img1TempDomeDiff
Real number (ℝ)

Distinct233
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.699123377
Minimum-27.82
Maximum20.74
Zeros0
Zeros (%)0.0%
Negative133
Negative (%)43.2%
Memory size4.8 KiB
2023-02-03T16:03:23.614046image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-27.82
5-th percentile-10.2165
Q1-9.175
median4.565
Q318.5075
95-th percentile20.15
Maximum20.74
Range48.56
Interquartile range (IQR)27.6825

Descriptive statistics

Standard deviation13.2706267
Coefficient of variation (CV)2.824064329
Kurtosis-1.749628089
Mean4.699123377
Median Absolute Deviation (MAD)13.91
Skewness-0.01901435574
Sum1447.33
Variance176.1095331
MonotonicityNot monotonic
2023-02-03T16:03:23.718532image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-9.744
 
1.3%
-9.854
 
1.3%
20.153
 
1.0%
18.023
 
1.0%
18.493
 
1.0%
17.883
 
1.0%
18.413
 
1.0%
18.263
 
1.0%
-9.733
 
1.0%
-9.973
 
1.0%
Other values (223)276
89.6%
ValueCountFrequency (%)
-27.821
0.3%
-10.51
0.3%
-10.411
0.3%
-10.391
0.3%
-10.351
0.3%
ValueCountFrequency (%)
20.741
0.3%
20.61
0.3%
20.581
0.3%
20.561
0.3%
20.552
0.6%

IR_Img2TempDomeDiff
Real number (ℝ)

Distinct254
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.181590909
Minimum-12.05
Maximum17.07
Zeros0
Zeros (%)0.0%
Negative132
Negative (%)42.9%
Memory size4.8 KiB
2023-02-03T16:03:23.820255image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-12.05
5-th percentile-11.7795
Q1-10.7825
median1.94
Q314.8225
95-th percentile16.573
Maximum17.07
Range29.12
Interquartile range (IQR)25.605

Descriptive statistics

Standard deviation12.19385392
Coefficient of variation (CV)5.589431945
Kurtosis-1.82536793
Mean2.181590909
Median Absolute Deviation (MAD)12.8
Skewness0.00210992648
Sum671.93
Variance148.6900734
MonotonicityNot monotonic
2023-02-03T16:03:23.912823image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-11.864
 
1.3%
16.423
 
1.0%
14.123
 
1.0%
-11.693
 
1.0%
3.523
 
1.0%
-11.643
 
1.0%
-11.793
 
1.0%
14.863
 
1.0%
-10.282
 
0.6%
-10.012
 
0.6%
Other values (244)279
90.6%
ValueCountFrequency (%)
-12.051
0.3%
-12.041
0.3%
-12.021
0.3%
-11.981
0.3%
-11.951
0.3%
ValueCountFrequency (%)
17.071
0.3%
17.021
0.3%
16.941
0.3%
16.931
0.3%
16.921
0.3%

IR_Img1TempFullDiff
Real number (ℝ)

Distinct220
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.983214286
Minimum-6.62
Maximum23.47
Zeros0
Zeros (%)0.0%
Negative133
Negative (%)43.2%
Memory size4.8 KiB
2023-02-03T16:03:24.014939image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-6.62
5-th percentile-6.3965
Q1-5.4125
median7.69
Q321.1025
95-th percentile23.023
Maximum23.47
Range30.09
Interquartile range (IQR)26.515

Descriptive statistics

Standard deviation12.70752419
Coefficient of variation (CV)1.59178042
Kurtosis-1.825083822
Mean7.983214286
Median Absolute Deviation (MAD)13.365
Skewness0.01624096845
Sum2458.83
Variance161.4811711
MonotonicityNot monotonic
2023-02-03T16:03:24.109977image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.594
 
1.3%
-6.374
 
1.3%
-4.684
 
1.3%
-6.394
 
1.3%
7.64
 
1.3%
20.794
 
1.3%
-6.454
 
1.3%
-6.063
 
1.0%
20.713
 
1.0%
-5.973
 
1.0%
Other values (210)271
88.0%
ValueCountFrequency (%)
-6.621
 
0.3%
-6.551
 
0.3%
-6.541
 
0.3%
-6.472
0.6%
-6.454
1.3%
ValueCountFrequency (%)
23.471
 
0.3%
23.371
 
0.3%
23.331
 
0.3%
23.321
 
0.3%
23.313
1.0%

IR_Img2TempFullDiff
Real number (ℝ)

Distinct230
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.277045455
Minimum-7.45
Maximum20.96
Zeros0
Zeros (%)0.0%
Negative132
Negative (%)42.9%
Memory size4.8 KiB
2023-02-03T16:03:24.199708image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-7.45
5-th percentile-7.2065
Q1-6.2425
median5.89
Q318.2125
95-th percentile20.5165
Maximum20.96
Range28.41
Interquartile range (IQR)24.455

Descriptive statistics

Standard deviation11.80259683
Coefficient of variation (CV)1.880279012
Kurtosis-1.81810532
Mean6.277045455
Median Absolute Deviation (MAD)12.235
Skewness0.008564467821
Sum1933.33
Variance139.3012919
MonotonicityNot monotonic
2023-02-03T16:03:24.292483image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.665
 
1.6%
-7.174
 
1.3%
17.743
 
1.0%
20.783
 
1.0%
20.113
 
1.0%
-7.373
 
1.0%
17.783
 
1.0%
20.263
 
1.0%
-7.193
 
1.0%
-5.483
 
1.0%
Other values (220)275
89.3%
ValueCountFrequency (%)
-7.451
 
0.3%
-7.422
0.6%
-7.411
 
0.3%
-7.391
 
0.3%
-7.373
1.0%
ValueCountFrequency (%)
20.961
0.3%
20.831
0.3%
20.821
0.3%
20.81
0.3%
20.791
0.3%

IR_Img1TempEdgeHorDiff
Real number (ℝ)

Distinct234
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.568928571
Minimum-10.07
Maximum22.24
Zeros0
Zeros (%)0.0%
Negative133
Negative (%)43.2%
Memory size4.8 KiB
2023-02-03T16:03:24.404983image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-10.07
5-th percentile-9.81
Q1-8.6425
median5.275
Q319.3625
95-th percentile21.8195
Maximum22.24
Range32.31
Interquartile range (IQR)28.005

Descriptive statistics

Standard deviation13.49651384
Coefficient of variation (CV)2.423538687
Kurtosis-1.819119821
Mean5.568928571
Median Absolute Deviation (MAD)14.09
Skewness0.01743945815
Sum1715.23
Variance182.1558858
MonotonicityNot monotonic
2023-02-03T16:03:24.497111image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-9.783
 
1.0%
-9.863
 
1.0%
-7.893
 
1.0%
-7.693
 
1.0%
18.753
 
1.0%
22.083
 
1.0%
-9.353
 
1.0%
-9.823
 
1.0%
-9.513
 
1.0%
5.122
 
0.6%
Other values (224)279
90.6%
ValueCountFrequency (%)
-10.071
0.3%
-10.011
0.3%
-9.991
0.3%
-9.921
0.3%
-9.891
0.3%
ValueCountFrequency (%)
22.241
0.3%
22.211
0.3%
22.141
0.3%
22.121
0.3%
22.12
0.6%

IR_Img2TempEdgeHorDiff
Real number (ℝ)

Distinct251
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.658571429
Minimum-10.62
Maximum21.01
Zeros0
Zeros (%)0.0%
Negative132
Negative (%)42.9%
Memory size4.8 KiB
2023-02-03T16:03:24.619732image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-10.62
5-th percentile-10.13
Q1-9.095
median4.195
Q317.515
95-th percentile20.5755
Maximum21.01
Range31.63
Interquartile range (IQR)26.61

Descriptive statistics

Standard deviation12.90932582
Coefficient of variation (CV)2.771091099
Kurtosis-1.806817502
Mean4.658571429
Median Absolute Deviation (MAD)13.305
Skewness0.01309861877
Sum1434.84
Variance166.6506931
MonotonicityNot monotonic
2023-02-03T16:03:24.715003image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-84
 
1.3%
4.043
 
1.0%
173
 
1.0%
-9.923
 
1.0%
-9.613
 
1.0%
-10.113
 
1.0%
16.993
 
1.0%
4.213
 
1.0%
17.172
 
0.6%
17.132
 
0.6%
Other values (241)279
90.6%
ValueCountFrequency (%)
-10.621
0.3%
-10.351
0.3%
-10.341
0.3%
-10.311
0.3%
-10.281
0.3%
ValueCountFrequency (%)
21.011
0.3%
20.951
0.3%
20.921
0.3%
20.912
0.6%
20.92
0.6%

IR_Img1TempEdgeVerDiff
Real number (ℝ)

Distinct226
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.365811688
Minimum-10.36
Maximum19.39
Zeros0
Zeros (%)0.0%
Negative132
Negative (%)42.9%
Memory size4.8 KiB
2023-02-03T16:03:24.824007image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-10.36
5-th percentile-9.7165
Q1-8.7825
median4.305
Q316.98
95-th percentile19.21
Maximum19.39
Range29.75
Interquartile range (IQR)25.7625

Descriptive statistics

Standard deviation12.38045353
Coefficient of variation (CV)2.835773601
Kurtosis-1.819982989
Mean4.365811688
Median Absolute Deviation (MAD)12.92
Skewness0.0076280546
Sum1344.67
Variance153.2756296
MonotonicityNot monotonic
2023-02-03T16:03:24.918505image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-9.74
 
1.3%
-8.874
 
1.3%
19.213
 
1.0%
16.983
 
1.0%
16.643
 
1.0%
16.833
 
1.0%
-8.783
 
1.0%
16.893
 
1.0%
-9.53
 
1.0%
16.913
 
1.0%
Other values (216)276
89.6%
ValueCountFrequency (%)
-10.361
0.3%
-10.281
0.3%
-10.181
0.3%
-10.171
0.3%
-10.141
0.3%
ValueCountFrequency (%)
19.391
0.3%
19.381
0.3%
19.361
0.3%
19.341
0.3%
19.331
0.3%

IR_Img2TempEdgeVerDiff
Real number (ℝ)

Distinct244
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.723409091
Minimum-11.38
Maximum17.22
Zeros0
Zeros (%)0.0%
Negative132
Negative (%)42.9%
Memory size4.8 KiB
2023-02-03T16:03:25.022053image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-11.38
5-th percentile-10.43
Q1-9.4025
median2.525
Q314.245
95-th percentile17.0165
Maximum17.22
Range28.6
Interquartile range (IQR)23.6475

Descriptive statistics

Standard deviation11.5207975
Coefficient of variation (CV)4.23028532
Kurtosis-1.805202969
Mean2.723409091
Median Absolute Deviation (MAD)11.88
Skewness0.01407919929
Sum838.81
Variance132.728775
MonotonicityNot monotonic
2023-02-03T16:03:25.113585image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.914
 
1.3%
17.133
 
1.0%
16.893
 
1.0%
2.443
 
1.0%
14.333
 
1.0%
-10.393
 
1.0%
-9.463
 
1.0%
16.753
 
1.0%
-9.483
 
1.0%
-11.363
 
1.0%
Other values (234)277
89.9%
ValueCountFrequency (%)
-11.381
 
0.3%
-11.363
1.0%
-11.291
 
0.3%
-11.241
 
0.3%
-11.221
 
0.3%
ValueCountFrequency (%)
17.221
 
0.3%
17.192
0.6%
17.181
 
0.3%
17.133
1.0%
17.121
 
0.3%

IR_Img1TempGradHorStdDiff
Real number (ℝ≥0)

Distinct170
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06988733766
Minimum0.0543
Maximum0.5026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:25.213727image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0543
5-th percentile0.06
Q10.0642
median0.06755
Q30.0723
95-th percentile0.078655
Maximum0.5026
Range0.4483
Interquartile range (IQR)0.0081

Descriptive statistics

Standard deviation0.02545318246
Coefficient of variation (CV)0.3642030632
Kurtosis274.4290046
Mean0.06988733766
Median Absolute Deviation (MAD)0.0039
Skewness16.10874714
Sum21.5253
Variance0.0006478644971
MonotonicityNot monotonic
2023-02-03T16:03:25.307571image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06336
 
1.9%
0.06715
 
1.6%
0.06655
 
1.6%
0.06385
 
1.6%
0.06534
 
1.3%
0.0684
 
1.3%
0.06954
 
1.3%
0.06624
 
1.3%
0.06644
 
1.3%
0.07124
 
1.3%
Other values (160)263
85.4%
ValueCountFrequency (%)
0.05431
0.3%
0.05581
0.3%
0.05611
0.3%
0.05661
0.3%
0.05721
0.3%
ValueCountFrequency (%)
0.50261
0.3%
0.09321
0.3%
0.09081
0.3%
0.08711
0.3%
0.08551
0.3%

IR_Img2TempGradHorStdDiff
Real number (ℝ≥0)

Distinct173
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06827824675
Minimum0.0537
Maximum0.0985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:26.013670image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0537
5-th percentile0.05907
Q10.06395
median0.06755
Q30.072
95-th percentile0.078915
Maximum0.0985
Range0.0448
Interquartile range (IQR)0.00805

Descriptive statistics

Standard deviation0.006431205543
Coefficient of variation (CV)0.09419113478
Kurtosis2.082542993
Mean0.06827824675
Median Absolute Deviation (MAD)0.00395
Skewness0.868162776
Sum21.0297
Variance4.136040473 × 10-5
MonotonicityNot monotonic
2023-02-03T16:03:26.108200image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06537
 
2.3%
0.06736
 
1.9%
0.06646
 
1.9%
0.06775
 
1.6%
0.06385
 
1.6%
0.06495
 
1.6%
0.06955
 
1.6%
0.06474
 
1.3%
0.07024
 
1.3%
0.06834
 
1.3%
Other values (163)257
83.4%
ValueCountFrequency (%)
0.05371
0.3%
0.0541
0.3%
0.05631
0.3%
0.05651
0.3%
0.05661
0.3%
ValueCountFrequency (%)
0.09851
0.3%
0.09571
0.3%
0.08661
0.3%
0.08591
0.3%
0.08551
0.3%

IR_Img1TempGradHorRngDiff
Real number (ℝ≥0)

Distinct69
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4045055195
Minimum0.2667
Maximum2.5792
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:26.209321image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.2667
5-th percentile0.3042
Q10.35315
median0.3875
Q30.430225
95-th percentile0.52353
Maximum2.5792
Range2.3125
Interquartile range (IQR)0.077075

Descriptive statistics

Standard deviation0.1408387638
Coefficient of variation (CV)0.3481751349
Kurtosis185.9799237
Mean0.4045055195
Median Absolute Deviation (MAD)0.0417
Skewness12.12692863
Sum124.5877
Variance0.0198355574
MonotonicityNot monotonic
2023-02-03T16:03:26.310024image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.366716
 
5.2%
0.379215
 
4.9%
0.383314
 
4.5%
0.412
 
3.9%
0.387511
 
3.6%
0.416710
 
3.2%
0.3759
 
2.9%
0.32089
 
2.9%
0.34589
 
2.9%
0.42928
 
2.6%
Other values (59)195
63.3%
ValueCountFrequency (%)
0.26671
 
0.3%
0.2751
 
0.3%
0.27921
 
0.3%
0.28331
 
0.3%
0.29173
1.0%
ValueCountFrequency (%)
2.57921
0.3%
0.68331
0.3%
0.58752
0.6%
0.58332
0.6%
0.56672
0.6%

IR_Img2TempGradHorRngDiff
Real number (ℝ≥0)

Distinct65
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3806136364
Minimum0.2583
Maximum0.6375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:26.404106image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.2583
5-th percentile0.3
Q10.3375
median0.36875
Q30.4125
95-th percentile0.5042
Maximum0.6375
Range0.3792
Interquartile range (IQR)0.075

Descriptive statistics

Standard deviation0.06263317181
Coefficient of variation (CV)0.1645584021
Kurtosis1.601705556
Mean0.3806136364
Median Absolute Deviation (MAD)0.03545
Skewness1.065830606
Sum117.229
Variance0.003922914211
MonotonicityNot monotonic
2023-02-03T16:03:26.506642image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.337517
 
5.5%
0.366712
 
3.9%
0.362511
 
3.6%
0.395810
 
3.2%
0.383310
 
3.2%
0.358310
 
3.2%
0.32510
 
3.2%
0.387510
 
3.2%
0.329210
 
3.2%
0.32089
 
2.9%
Other values (55)199
64.6%
ValueCountFrequency (%)
0.25831
0.3%
0.27082
0.6%
0.27922
0.6%
0.28331
0.3%
0.28752
0.6%
ValueCountFrequency (%)
0.63751
0.3%
0.6251
0.3%
0.57921
0.3%
0.57081
0.3%
0.56671
0.3%

IR_Img1TempVerStdDiff
Real number (ℝ≥0)

Distinct266
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2128204545
Minimum0.1461
Maximum1.1554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:26.618711image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.1461
5-th percentile0.1644
Q10.188625
median0.20695
Q30.229
95-th percentile0.261875
Maximum1.1554
Range1.0093
Interquartile range (IQR)0.040375

Descriptive statistics

Standard deviation0.06153082068
Coefficient of variation (CV)0.2891208028
Kurtosis180.0255025
Mean0.2128204545
Median Absolute Deviation (MAD)0.0202
Skewness11.78835582
Sum65.5487
Variance0.003786041893
MonotonicityNot monotonic
2023-02-03T16:03:26.721304image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.16833
 
1.0%
0.19663
 
1.0%
0.2133
 
1.0%
0.20913
 
1.0%
0.21733
 
1.0%
0.19922
 
0.6%
0.2292
 
0.6%
0.21172
 
0.6%
0.25752
 
0.6%
0.26672
 
0.6%
Other values (256)283
91.9%
ValueCountFrequency (%)
0.14611
0.3%
0.14691
0.3%
0.14881
0.3%
0.15011
0.3%
0.15021
0.3%
ValueCountFrequency (%)
1.15541
0.3%
0.28531
0.3%
0.28521
0.3%
0.28321
0.3%
0.28131
0.3%

IR_Img2TempVerStdDiff
Real number (ℝ≥0)

Distinct296
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2397461039
Minimum0.1325
Maximum0.3678
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:26.824182image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.1325
5-th percentile0.161605
Q10.191175
median0.2239
Q30.2866
95-th percentile0.338785
Maximum0.3678
Range0.2353
Interquartile range (IQR)0.095425

Descriptive statistics

Standard deviation0.05850799509
Coefficient of variation (CV)0.2440414845
Kurtosis-1.096778317
Mean0.2397461039
Median Absolute Deviation (MAD)0.0454
Skewness0.3397161146
Sum73.8418
Variance0.00342318549
MonotonicityNot monotonic
2023-02-03T16:03:26.946584image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.20633
 
1.0%
0.19452
 
0.6%
0.28132
 
0.6%
0.23132
 
0.6%
0.30572
 
0.6%
0.19062
 
0.6%
0.18022
 
0.6%
0.1952
 
0.6%
0.18962
 
0.6%
0.15872
 
0.6%
Other values (286)287
93.2%
ValueCountFrequency (%)
0.13251
0.3%
0.14361
0.3%
0.14581
0.3%
0.14591
0.3%
0.14741
0.3%
ValueCountFrequency (%)
0.36781
0.3%
0.36231
0.3%
0.36061
0.3%
0.35531
0.3%
0.35191
0.3%

IR_Img1TempVerRngDiff
Real number (ℝ≥0)

Distinct50
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9780327922
Minimum0.6333
Maximum4.5417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:27.049223image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.6333
5-th percentile0.7583
Q10.8667
median0.9583
Q31.05
95-th percentile1.25
Maximum4.5417
Range3.9084
Interquartile range (IQR)0.1833

Descriptive statistics

Standard deviation0.2479404895
Coefficient of variation (CV)0.2535093828
Kurtosis139.0642694
Mean0.9780327922
Median Absolute Deviation (MAD)0.0917
Skewness9.778467301
Sum301.2341
Variance0.06147448632
MonotonicityNot monotonic
2023-02-03T16:03:27.151528image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.958329
 
9.4%
0.9527
 
8.8%
0.966721
 
6.8%
0.866721
 
6.8%
0.858320
 
6.5%
1.0518
 
5.8%
0.8515
 
4.9%
1.058312
 
3.9%
1.16679
 
2.9%
0.94179
 
2.9%
Other values (40)127
41.2%
ValueCountFrequency (%)
0.63331
 
0.3%
0.65831
 
0.3%
0.66674
1.3%
0.6751
 
0.3%
0.73331
 
0.3%
ValueCountFrequency (%)
4.54171
 
0.3%
1.36671
 
0.3%
1.352
0.6%
1.34174
1.3%
1.26674
1.3%

IR_Img2TempVerRngDiff
Real number (ℝ≥0)

Distinct71
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9963483766
Minimum0.5667
Maximum1.5583
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:27.264076image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.5667
5-th percentile0.7583
Q10.8667
median0.975
Q31.1167
95-th percentile1.26376
Maximum1.5583
Range0.9916
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.1687888768
Coefficient of variation (CV)0.1694074891
Kurtosis-0.1567343303
Mean0.9963483766
Median Absolute Deviation (MAD)0.1167
Skewness0.1758843111
Sum306.8753
Variance0.02848968492
MonotonicityNot monotonic
2023-02-03T16:03:27.367473image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.966720
 
6.5%
0.858317
 
5.5%
1.066715
 
4.9%
0.866715
 
4.9%
0.958314
 
4.5%
0.758313
 
4.2%
1.058312
 
3.9%
0.766712
 
3.9%
1.166712
 
3.9%
0.8759
 
2.9%
Other values (61)169
54.9%
ValueCountFrequency (%)
0.56671
 
0.3%
0.65833
1.0%
0.66674
1.3%
0.6753
1.0%
0.70831
 
0.3%
ValueCountFrequency (%)
1.55831
0.3%
1.4751
0.3%
1.44171
0.3%
1.3751
0.3%
1.351
0.3%

IR_Img1TempGradVerStdDiff
Real number (ℝ≥0)

Distinct203
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09228928571
Minimum0.0657
Maximum0.1529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:27.469805image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0657
5-th percentile0.077435
Q10.0864
median0.09235
Q30.097525
95-th percentile0.10646
Maximum0.1529
Range0.0872
Interquartile range (IQR)0.011125

Descriptive statistics

Standard deviation0.009937582834
Coefficient of variation (CV)0.107678619
Kurtosis4.652097958
Mean0.09228928571
Median Absolute Deviation (MAD)0.00575
Skewness0.9262751909
Sum28.4251
Variance9.875555258 × 10-5
MonotonicityNot monotonic
2023-02-03T16:03:27.562260image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08586
 
1.9%
0.09215
 
1.6%
0.09595
 
1.6%
0.09354
 
1.3%
0.08664
 
1.3%
0.09094
 
1.3%
0.09613
 
1.0%
0.08973
 
1.0%
0.0873
 
1.0%
0.09273
 
1.0%
Other values (193)268
87.0%
ValueCountFrequency (%)
0.06571
0.3%
0.06941
0.3%
0.07052
0.6%
0.07081
0.3%
0.07211
0.3%
ValueCountFrequency (%)
0.15291
0.3%
0.12941
0.3%
0.12391
0.3%
0.11871
0.3%
0.11581
0.3%

IR_Img2TempGradVerStdDiff
Real number (ℝ≥0)

Distinct203
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09518961039
Minimum0.0648
Maximum0.1275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:27.661827image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0648
5-th percentile0.080735
Q10.088575
median0.0953
Q30.1014
95-th percentile0.109965
Maximum0.1275
Range0.0627
Interquartile range (IQR)0.012825

Descriptive statistics

Standard deviation0.009602511675
Coefficient of variation (CV)0.1008777285
Kurtosis0.2191497595
Mean0.09518961039
Median Absolute Deviation (MAD)0.00665
Skewness-0.09668956906
Sum29.3184
Variance9.220823047 × 10-5
MonotonicityNot monotonic
2023-02-03T16:03:27.760580image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09685
 
1.6%
0.10035
 
1.6%
0.09344
 
1.3%
0.10614
 
1.3%
0.10084
 
1.3%
0.09674
 
1.3%
0.09793
 
1.0%
0.08893
 
1.0%
0.09693
 
1.0%
0.09893
 
1.0%
Other values (193)270
87.7%
ValueCountFrequency (%)
0.06481
0.3%
0.06891
0.3%
0.06921
0.3%
0.06941
0.3%
0.07041
0.3%
ValueCountFrequency (%)
0.12751
0.3%
0.1171
0.3%
0.11651
0.3%
0.11531
0.3%
0.1152
0.6%

IR_Img1TempGradVerRngDiff
Real number (ℝ≥0)

Distinct57
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4264483766
Minimum0.2667
Maximum0.7708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:27.861037image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.2667
5-th percentile0.3292
Q10.3833
median0.4208
Q30.4667
95-th percentile0.5208
Maximum0.7708
Range0.5041
Interquartile range (IQR)0.0834

Descriptive statistics

Standard deviation0.064381875
Coefficient of variation (CV)0.1509722595
Kurtosis2.36545426
Mean0.4264483766
Median Absolute Deviation (MAD)0.0459
Skewness0.664642919
Sum131.3461
Variance0.004145025828
MonotonicityNot monotonic
2023-02-03T16:03:27.982902image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.470826
 
8.4%
0.416726
 
8.4%
0.466724
 
7.8%
0.366720
 
6.5%
0.420819
 
6.2%
0.395814
 
4.5%
0.445813
 
4.2%
0.404212
 
3.9%
0.520811
 
3.6%
0.37088
 
2.6%
Other values (47)135
43.8%
ValueCountFrequency (%)
0.26671
0.3%
0.27081
0.3%
0.29582
0.6%
0.31
0.3%
0.30832
0.6%
ValueCountFrequency (%)
0.77081
 
0.3%
0.62082
0.6%
0.59581
 
0.3%
0.57083
1.0%
0.56674
1.3%

IR_Img2TempGradVerRngDiff
Real number (ℝ≥0)

Distinct51
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4288717532
Minimum0.2625
Maximum0.5708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:28.083532image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.2625
5-th percentile0.3208
Q10.3833
median0.4208
Q30.4667
95-th percentile0.5208
Maximum0.5708
Range0.3083
Interquartile range (IQR)0.0834

Descriptive statistics

Standard deviation0.06245903216
Coefficient of variation (CV)0.1456356864
Kurtosis-0.353748451
Mean0.4288717532
Median Absolute Deviation (MAD)0.0459
Skewness0.1018381237
Sum132.0925
Variance0.003901130698
MonotonicityNot monotonic
2023-02-03T16:03:28.175045image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.416731
 
10.1%
0.366727
 
8.8%
0.466725
 
8.1%
0.420824
 
7.8%
0.520816
 
5.2%
0.470814
 
4.5%
0.445814
 
4.5%
0.441711
 
3.6%
0.51679
 
2.9%
0.32088
 
2.6%
Other values (41)129
41.9%
ValueCountFrequency (%)
0.26251
0.3%
0.27921
0.3%
0.29581
0.3%
0.30422
0.6%
0.31252
0.6%
ValueCountFrequency (%)
0.57084
 
1.3%
0.56676
 
1.9%
0.54581
 
0.3%
0.54173
 
1.0%
0.520816
5.2%

IR_Img1TempWallStd
Real number (ℝ≥0)

Distinct202
Distinct (%)65.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.894707792
Minimum1.56
Maximum7.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:28.279504image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.56
5-th percentile1.8335
Q12.435
median3.7
Q34.8625
95-th percentile6.87
Maximum7.35
Range5.79
Interquartile range (IQR)2.4275

Descriptive statistics

Standard deviation1.623772775
Coefficient of variation (CV)0.4169177411
Kurtosis-1.056085024
Mean3.894707792
Median Absolute Deviation (MAD)1.225
Skewness0.3605656586
Sum1199.57
Variance2.636638025
MonotonicityNot monotonic
2023-02-03T16:03:28.371128image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.187
 
2.3%
4.855
 
1.6%
2.644
 
1.3%
2.114
 
1.3%
2.844
 
1.3%
4.834
 
1.3%
4.634
 
1.3%
4.653
 
1.0%
2.463
 
1.0%
2.313
 
1.0%
Other values (192)267
86.7%
ValueCountFrequency (%)
1.562
0.6%
1.582
0.6%
1.591
0.3%
1.61
0.3%
1.611
0.3%
ValueCountFrequency (%)
7.351
0.3%
7.281
0.3%
7.221
0.3%
7.21
0.3%
7.171
0.3%

IR_Img2TempWallStd
Real number (ℝ≥0)

Distinct218
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.278798701
Minimum1.59
Maximum7.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:28.472952image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.59
5-th percentile1.93
Q12.6
median4.305
Q35.705
95-th percentile7.2385
Maximum7.54
Range5.95
Interquartile range (IQR)3.105

Descriptive statistics

Standard deviation1.766475959
Coefficient of variation (CV)0.4128439037
Kurtosis-1.372904652
Mean4.278798701
Median Absolute Deviation (MAD)1.535
Skewness0.1653798262
Sum1317.87
Variance3.120437314
MonotonicityNot monotonic
2023-02-03T16:03:28.574042image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.345
 
1.6%
6.554
 
1.3%
2.584
 
1.3%
2.334
 
1.3%
2.313
 
1.0%
1.933
 
1.0%
6.53
 
1.0%
2.123
 
1.0%
3.213
 
1.0%
5.833
 
1.0%
Other values (208)273
88.6%
ValueCountFrequency (%)
1.591
0.3%
1.612
0.6%
1.651
0.3%
1.661
0.3%
1.741
0.3%
ValueCountFrequency (%)
7.541
0.3%
7.511
0.3%
7.481
0.3%
7.431
0.3%
7.42
0.6%

IR_Img1TempWallStdDiff
Real number (ℝ≥0)

Distinct186
Distinct (%)60.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.704318182
Minimum1.56
Maximum7.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:28.676757image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.56
5-th percentile1.79
Q12.3125
median3.455
Q34.5925
95-th percentile6.6
Maximum7.09
Range5.53
Interquartile range (IQR)2.28

Descriptive statistics

Standard deviation1.551913558
Coefficient of variation (CV)0.4189471534
Kurtosis-0.9901855326
Mean3.704318182
Median Absolute Deviation (MAD)1.14
Skewness0.4221119879
Sum1140.93
Variance2.40843569
MonotonicityNot monotonic
2023-02-03T16:03:28.773896image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.496
 
1.9%
2.116
 
1.9%
4.475
 
1.6%
4.355
 
1.6%
4.415
 
1.6%
2.095
 
1.6%
4.594
 
1.3%
2.914
 
1.3%
1.794
 
1.3%
4.454
 
1.3%
Other values (176)260
84.4%
ValueCountFrequency (%)
1.562
0.6%
1.582
0.6%
1.592
0.6%
1.62
0.6%
1.622
0.6%
ValueCountFrequency (%)
7.091
0.3%
7.031
0.3%
6.971
0.3%
6.941
0.3%
6.921
0.3%

IR_Img2TempWallStdDiff
Real number (ℝ≥0)

Distinct215
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.049123377
Minimum1.58
Maximum7.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:28.872895image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.58
5-th percentile1.87
Q12.4575
median4.03
Q35.405
95-th percentile6.9085
Maximum7.22
Range5.64
Interquartile range (IQR)2.9475

Descriptive statistics

Standard deviation1.684657209
Coefficient of variation (CV)0.4160547982
Kurtosis-1.348650334
Mean4.049123377
Median Absolute Deviation (MAD)1.495
Skewness0.207476986
Sum1247.13
Variance2.838069913
MonotonicityNot monotonic
2023-02-03T16:03:28.973895image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.214
 
1.3%
2.994
 
1.3%
2.194
 
1.3%
2.093
 
1.0%
1.983
 
1.0%
2.223
 
1.0%
2.173
 
1.0%
5.033
 
1.0%
5.143
 
1.0%
2.733
 
1.0%
Other values (205)275
89.3%
ValueCountFrequency (%)
1.581
0.3%
1.62
0.6%
1.631
0.3%
1.641
0.3%
1.681
0.3%
ValueCountFrequency (%)
7.221
0.3%
7.191
0.3%
7.171
0.3%
7.131
0.3%
7.082
0.6%

IR_Img1TempEnv
Real number (ℝ≥0)

Distinct226
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.58743506
Minimum16.77
Maximum24.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:29.087897image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum16.77
5-th percentile19.3345
Q122.0875
median22.945
Q323.7875
95-th percentile24.48
Maximum24.85
Range8.08
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation1.69104874
Coefficient of variation (CV)0.07486678924
Kurtosis2.375867696
Mean22.58743506
Median Absolute Deviation (MAD)0.86
Skewness-1.468041664
Sum6956.93
Variance2.859645843
MonotonicityNot monotonic
2023-02-03T16:03:29.193895image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.985
 
1.6%
23.113
 
1.0%
22.693
 
1.0%
24.253
 
1.0%
24.483
 
1.0%
22.963
 
1.0%
24.053
 
1.0%
22.613
 
1.0%
22.823
 
1.0%
23.073
 
1.0%
Other values (216)276
89.6%
ValueCountFrequency (%)
16.771
0.3%
16.831
0.3%
16.91
0.3%
171
0.3%
17.022
0.6%
ValueCountFrequency (%)
24.851
0.3%
24.751
0.3%
24.681
0.3%
24.671
0.3%
24.641
0.3%

DXP_AreaCavityPressure
Real number (ℝ≥0)

Distinct288
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9637.147403
Minimum6673.2
Maximum12557.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:29.303930image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum6673.2
5-th percentile6697.66
Q16945.55
median9601.45
Q312215.05
95-th percentile12519.58
Maximum12557.9
Range5884.7
Interquartile range (IQR)5269.5

Descriptive statistics

Standard deviation2314.214497
Coefficient of variation (CV)0.2401348035
Kurtosis-1.65386539
Mean9637.147403
Median Absolute Deviation (MAD)2624.35
Skewness-0.02144992373
Sum2968241.4
Variance5355588.74
MonotonicityNot monotonic
2023-02-03T16:03:29.397894image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12517.13
 
1.0%
8697.42
 
0.6%
88792
 
0.6%
12217.92
 
0.6%
12221.32
 
0.6%
6956.12
 
0.6%
6781.42
 
0.6%
104442
 
0.6%
104522
 
0.6%
6935.82
 
0.6%
Other values (278)287
93.2%
ValueCountFrequency (%)
6673.21
0.3%
6673.62
0.6%
6674.21
0.3%
66752
0.6%
6675.21
0.3%
ValueCountFrequency (%)
12557.91
0.3%
12556.41
0.3%
12555.51
0.3%
12554.52
0.6%
12551.71
0.3%

DXP_HoldingPressure1
Real number (ℝ≥0)

Distinct18
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227.0876623
Minimum149.9
Maximum300.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:29.482895image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum149.9
5-th percentile149.9
Q1150.275
median225.2
Q3300.5
95-th percentile300.6
Maximum300.6
Range150.7
Interquartile range (IQR)150.225

Descriptive statistics

Standard deviation63.63266306
Coefficient of variation (CV)0.28021189
Kurtosis-1.669521958
Mean227.0876623
Median Absolute Deviation (MAD)75.15
Skewness-0.02702326068
Sum69943
Variance4049.115808
MonotonicityNot monotonic
2023-02-03T16:03:29.561895image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
300.554
17.5%
300.633
10.7%
250.428
9.1%
15026
8.4%
150.225
8.1%
300.423
7.5%
200.122
7.1%
149.918
 
5.8%
200.317
 
5.5%
200.215
 
4.9%
Other values (8)47
15.3%
ValueCountFrequency (%)
149.918
5.8%
15026
8.4%
150.18
 
2.6%
150.225
8.1%
150.311
3.6%
ValueCountFrequency (%)
300.633
10.7%
300.554
17.5%
300.423
7.5%
250.51
 
0.3%
250.428
9.1%

DXP_HoldingTime1
Real number (ℝ≥0)

CONSTANT
REJECTED

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36
Minimum36
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2023-02-03T16:03:29.636050image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile36
Q136
median36
Q336
95-th percentile36
Maximum36
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean36
Median Absolute Deviation (MAD)0
Skewness0
Sum11088
Variance0
MonotonicityIncreasing
2023-02-03T16:03:29.698167image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
36308
100.0%
ValueCountFrequency (%)
36308
100.0%
ValueCountFrequency (%)
36308
100.0%