Overview

Dataset statistics

Number of variables364
Number of observations564
Missing cells25592
Missing cells (%)12.5%
Total size in memory1.6 MiB
Average record size in memory2.8 KiB

Variable types

Numeric210
DateTime2
Categorical9
Unsupported143

Alerts

SIM_VolumeFractionMax has constant value "100.0" Constant
CV_Image1Name has a high cardinality: 563 distinct values High cardinality
CV_Image2Name has a high cardinality: 563 distinct values High cardinality
CV_Image3Name has a high cardinality: 563 distinct values High cardinality
IR_Image1Name has a high cardinality: 564 distinct values High cardinality
IR_Image2Name has a high cardinality: 564 distinct values High cardinality
IR_Image3Name has a high cardinality: 408 distinct values High cardinality
CV_Image4Name has a high cardinality: 145 distinct values High cardinality
SET_BackPressure has 408 (72.3%) missing values Missing
LBL_OldGranulate has 152 (27.0%) missing values Missing
QUA_MeltPressure2Max has 156 (27.7%) missing values Missing
QUA_HoldingPressureMax has 156 (27.7%) missing values Missing
QUA_InjectionSpeed1 has 156 (27.7%) missing values Missing
QUA_PlastificationSpeed has 156 (27.7%) missing values Missing
TCE_ActualFlowRate has 156 (27.7%) missing values Missing
TCE_ActualFlowRateMean has 156 (27.7%) missing values Missing
IR_Image3Name has 156 (27.7%) missing values Missing
DRY_HT101_acAirFlow has 156 (27.7%) missing values Missing
DRY_HT101_acDryingTime has 156 (27.7%) missing values Missing
DRY_HT101_acSensorMoisture has 156 (27.7%) missing values Missing
DRY_HT101_sfBinOn has 156 (27.7%) missing values Missing
DRY_HT101_sfDryingFinished has 156 (27.7%) missing values Missing
DRY_HT101_sfTimerOn has 156 (27.7%) missing values Missing
DRY_HT101_svDryingTime has 156 (27.7%) missing values Missing
DRY_HT101_svTempDryair has 156 (27.7%) missing values Missing
DRY_HT101_svTempReturnAir has 156 (27.7%) missing values Missing
DRY_HT101_svTempStandby has 156 (27.7%) missing values Missing
DRY_HT102_acAirFlow has 156 (27.7%) missing values Missing
DRY_HT102_acDryingTime has 156 (27.7%) missing values Missing
DRY_HT102_acSensorMoisture has 156 (27.7%) missing values Missing
DRY_HT102_sfBinOn has 156 (27.7%) missing values Missing
DRY_HT102_sfDryingFinished has 156 (27.7%) missing values Missing
DRY_HT102_sfTimerOn has 156 (27.7%) missing values Missing
DRY_HT102_svDryingTime has 156 (27.7%) missing values Missing
DRY_HT102_svTempDryair has 156 (27.7%) missing values Missing
DRY_HT102_svTempReturnAir has 156 (27.7%) missing values Missing
DRY_HT102_svTempStandby has 156 (27.7%) missing values Missing
DOS_acBatchCounter has 156 (27.7%) missing values Missing
DOS_acComp1DosRate has 156 (27.7%) missing values Missing
DOS_acComp1Percent has 156 (27.7%) missing values Missing
DOS_acComp1TotalWeight has 156 (27.7%) missing values Missing
DOS_acComp2DosRate has 156 (27.7%) missing values Missing
DOS_acComp2Percent has 156 (27.7%) missing values Missing
DOS_acComp2TotalWeight has 156 (27.7%) missing values Missing
DOS_acComp3DosRate has 156 (27.7%) missing values Missing
DOS_acComp3Percent has 156 (27.7%) missing values Missing
DOS_acComp3TotalWeight has 156 (27.7%) missing values Missing
DOS_acComp4DosRate has 156 (27.7%) missing values Missing
DOS_acComp4Percent has 156 (27.7%) missing values Missing
DOS_acComp4TotalWeight has 156 (27.7%) missing values Missing
DOS_acDessicantBedCycleTime has 156 (27.7%) missing values Missing
DOS_acDryCircuitDewPoint has 156 (27.7%) missing values Missing
DOS_acRegCircuitInletTemp has 156 (27.7%) missing values Missing
DOS_acTotalWeight has 156 (27.7%) missing values Missing
DOS_acWeight has 156 (27.7%) missing values Missing
DOS_sfDryerOn has 156 (27.7%) missing values Missing
DOS_sfTimerOn has 156 (27.7%) missing values Missing
DOS_svBatchWeight has 156 (27.7%) missing values Missing
SIM_Width1 has 348 (61.7%) missing values Missing
SIM_Width2 has 348 (61.7%) missing values Missing
SIM_Width3 has 348 (61.7%) missing values Missing
SIM_Height1 has 348 (61.7%) missing values Missing
SIM_Height2 has 348 (61.7%) missing values Missing
SIM_Height3 has 348 (61.7%) missing values Missing
SIM_Width has 348 (61.7%) missing values Missing
SIM_Height has 348 (61.7%) missing values Missing
SIM_Height2Small has 348 (61.7%) missing values Missing
SIM_Width2Small has 348 (61.7%) missing values Missing
SIM_Diameter3 has 348 (61.7%) missing values Missing
SIM_Roundness has 348 (61.7%) missing values Missing
SIM_TempSprue has 204 (36.2%) missing values Missing
SIM_TempDome has 204 (36.2%) missing values Missing
SIM_TempEdgeHor has 204 (36.2%) missing values Missing
SIM_TempEdgeVer has 204 (36.2%) missing values Missing
SIM_TempGradVerStd has 360 (63.8%) missing values Missing
SIM_TempGradVerRng has 360 (63.8%) missing values Missing
SIM_TempVerStd has 360 (63.8%) missing values Missing
SIM_TempVerRng has 360 (63.8%) missing values Missing
SIM_TempGradHorStd has 360 (63.8%) missing values Missing
SIM_TempGradHorRng has 360 (63.8%) missing values Missing
SIM_PartWeight has 204 (36.2%) missing values Missing
SIM_TotalWeight has 360 (63.8%) missing values Missing
SIM_InjectionPressureMax has 360 (63.8%) missing values Missing
SIM_InjectionPressureArea has 360 (63.8%) missing values Missing
SIM_FlowRateMax has 360 (63.8%) missing values Missing
SIM_FlowRateArea has 360 (63.8%) missing values Missing
SIM_VolumeFractionMax has 360 (63.8%) missing values Missing
IR_Img3TempSprue has 156 (27.7%) missing values Missing
IR_Img3TempDome has 156 (27.7%) missing values Missing
IR_Img3TempFull has 156 (27.7%) missing values Missing
IR_Img3TempEdgeHor has 156 (27.7%) missing values Missing
IR_Img3TempEdgeVer has 156 (27.7%) missing values Missing
IR_Img3TempGradHorStd has 156 (27.7%) missing values Missing
IR_Img3TempGradHorRng has 156 (27.7%) missing values Missing
IR_Img3TempGradVerStd has 156 (27.7%) missing values Missing
IR_Img3TempGradVerRng has 156 (27.7%) missing values Missing
IR_Img3TempVerStd has 156 (27.7%) missing values Missing
IR_Img3TempVerRng has 156 (27.7%) missing values Missing
IR_Img3TempSprueDiff has 156 (27.7%) missing values Missing
IR_Img3TempDomeDiff has 156 (27.7%) missing values Missing
IR_Img3TempFullDiff has 156 (27.7%) missing values Missing
IR_Img3TempEdgeHorDiff has 156 (27.7%) missing values Missing
IR_Img3TempEdgeVerDiff has 156 (27.7%) missing values Missing
IR_Img3TempGradHorStdDiff has 156 (27.7%) missing values Missing
IR_Img3TempGradHorRngDiff has 156 (27.7%) missing values Missing
IR_Img3TempVerStdDiff has 156 (27.7%) missing values Missing
IR_Img3TempVerRngDiff has 156 (27.7%) missing values Missing
IR_Img3TempGradVerStdDiff has 156 (27.7%) missing values Missing
IR_Img3TempGradVerRngDiff has 156 (27.7%) missing values Missing
IR_Img3TempWallStd has 156 (27.7%) missing values Missing
IR_Img3TempWallStdDiff has 156 (27.7%) missing values Missing
CV_Width has 408 (72.3%) missing values Missing
CV_Image4Name has 408 (72.3%) missing values Missing
DRY_acBatchCounter has 408 (72.3%) missing values Missing
DRY_acComp1DosRate has 408 (72.3%) missing values Missing
DRY_acComp1TotalWeight has 408 (72.3%) missing values Missing
DRY_acDryCircuitDewPoint has 408 (72.3%) missing values Missing
DRY_acRegCircuitInletTemp has 408 (72.3%) missing values Missing
DRY_acTotalWeight has 408 (72.3%) missing values Missing
DRY_acWeight has 408 (72.3%) missing values Missing
CALC_InjectionStroke has 204 (36.2%) missing values Missing
CALC_DosingStroke has 204 (36.2%) missing values Missing
CALC_DosedWeight has 204 (36.2%) missing values Missing
MET_MachineCycleID has unique values Unique
MET_TimeCycleStart has unique values Unique
MET_TimeCycleEnd has unique values Unique
IR_Image1Name has unique values Unique
IR_Image2Name 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_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_ClampValve1 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_sfBinOn is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT101_sfDryingFinished is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT101_sfTimerOn 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_sfBinOn is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT102_sfDryingFinished is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_HT102_sfTimerOn 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
DOS_acBatchCounter is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acComp1DosRate is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acComp1Percent is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acComp1TotalWeight is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_acComp2DosRate is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_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_sfDryerOn is an unsupported type, check if it needs cleaning or further analysis Unsupported
DOS_sfTimerOn 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
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_acComp1TotalWeight is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_acDryCircuitDewPoint is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_acRegCircuitInletTemp is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_acTotalWeight is an unsupported type, check if it needs cleaning or further analysis Unsupported
DRY_acWeight is an unsupported type, check if it needs cleaning or further analysis Unsupported
SET_HoldingPressure2 has 348 (61.7%) zeros Zeros
SET_HoldingTime1 has 12 (2.1%) zeros Zeros
SET_HoldingTime2 has 360 (63.8%) zeros Zeros
LBL_NOK has 409 (72.5%) zeros Zeros
LBL_SinkMarks has 421 (74.6%) zeros Zeros
LBL_SprueCircle has 492 (87.2%) zeros Zeros
LBL_Underfilled has 504 (89.4%) zeros Zeros
LBL_StreaksLevel1 has 534 (94.7%) zeros Zeros
LBL_StreaksLevel2 has 546 (96.8%) zeros Zeros
LBL_StreaksLevel3 has 516 (91.5%) zeros Zeros
LBL_OldGranulate has 403 (71.5%) zeros Zeros
CV_Height2Small has 55 (9.8%) zeros Zeros
CV_Width2Small has 50 (8.9%) zeros Zeros
CV_Height3 has 12 (2.1%) zeros Zeros
QUA_ToolTemperature1 has 216 (38.3%) zeros Zeros
QUA_ToolTemperature2 has 216 (38.3%) zeros Zeros
TCE_ActualPumpSpeedRPMMean has 156 (27.7%) zeros Zeros
TCE_ActualPumpSpeedMean has 156 (27.7%) zeros Zeros
TCE_ActualTemperatureDifferenceMean has 64 (11.3%) zeros Zeros
TCN_ActualPumpSpeedRPMMean has 156 (27.7%) zeros Zeros
TCN_ActualPumpSpeedMean has 156 (27.7%) zeros Zeros
TCN_ActualTemperatureDifferenceMean has 28 (5.0%) zeros Zeros
DXP_HoldingPressure2 has 346 (61.3%) zeros Zeros
DXP_HoldingTime2 has 346 (61.3%) zeros Zeros
CV_Width has 12 (2.1%) zeros Zeros

Reproduction

Analysis started2022-10-25 08:04:46.394390
Analysis finished2022-10-25 08:09:27.829459
Duration4 minutes and 41.44 seconds
Software versionpandas-profiling v3.4.0
Download configurationconfig.json

Variables

MET_JobCycleID
Real number (ℝ≥0)

Distinct423
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean313.3156028
Minimum1
Maximum715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-25T10:09:27.974259image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18
Q1149
median341
Q3442.25
95-th percentile663.85
Maximum715
Range714
Interquartile range (IQR)293.25

Descriptive statistics

Standard deviation192.3889166
Coefficient of variation (CV)0.6140419274
Kurtosis-0.8029602477
Mean313.3156028
Median Absolute Deviation (MAD)140.5
Skewness0.1328748351
Sum176710
Variance37013.49524
MonotonicityNot monotonic
2022-10-25T10:09:28.093872image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3883
 
0.5%
4573
 
0.5%
3863
 
0.5%
3873
 
0.5%
3613
 
0.5%
3893
 
0.5%
3903
 
0.5%
3913
 
0.5%
3603
 
0.5%
3593
 
0.5%
Other values (413)534
94.7%
ValueCountFrequency (%)
12
0.4%
22
0.4%
32
0.4%
42
0.4%
52
0.4%
ValueCountFrequency (%)
7151
0.2%
7141
0.2%
7131
0.2%
7121
0.2%
7111
0.2%

MET_MachineCycleID
Real number (ℝ≥0)

UNIQUE

Distinct564
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13966.13475
Minimum331
Maximum19662
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2022-10-25T10:09:28.200656image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum331
5-th percentile395.15
Q1696.75
median18851.5
Q319317.25
95-th percentile19604.85
Maximum19662
Range19331
Interquartile range (IQR)18620.5

Descriptive statistics

Standard deviation8321.52982
Coefficient of variation (CV)0.5958362831
Kurtosis-1.002044557
Mean13966.13475
Median Absolute Deviation (MAD)498
Skewness-0.9972674199
Sum7876900
Variance69247858.54
MonotonicityNot monotonic
2022-10-25T10:09:28.331505image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185351
 
0.2%
196051
 
0.2%
195991
 
0.2%
196001
 
0.2%
196011
 
0.2%
196021
 
0.2%
196031
 
0.2%
196041
 
0.2%
196061
 
0.2%
195921
 
0.2%
Other values (554)554
98.2%
ValueCountFrequency (%)
3311
0.2%
3321
0.2%
3331
0.2%
3341
0.2%
3351
0.2%
ValueCountFrequency (%)
196621
0.2%
196611
0.2%
196601
0.2%
196591
0.2%
196581
0.2%

MET_TimeCycleStart
Date

UNIQUE

Distinct564
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum2021-12-07 08:27:34
Maximum2022-03-17 17:45:25
2022-10-25T10:09:28.458835image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-10-25T10:09:28.567944image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

MET_TimeCycleEnd
Date

UNIQUE

Distinct564
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
Minimum2021-12-07 08:28:31
Maximum2022-03-17 17:46:22
2022-10-25T10:09:28.670153image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-10-25T10:09:28.780305image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

MET_ExperimentNumber
Categorical

Distinct30
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
A15
 
25
A06
 
24
A05
 
24
A14
 
24
A13
 
24
Other values (25)
443 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA16
2nd rowA16
3rd rowA16
4th rowA16
5th rowA16

Common Values

ValueCountFrequency (%)
A1525
 
4.4%
A0624
 
4.3%
A0524
 
4.3%
A1424
 
4.3%
A1324
 
4.3%
A0924
 
4.3%
A1024
 
4.3%
A1224
 
4.3%
A1124
 
4.3%
Z0124
 
4.3%
Other values (20)323
57.3%

MET_MaterialName
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
PP
360 
ABS
204 

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
PP360
63.8%
ABS204
36.2%

Category Frequency Plot

2022-10-25T10:09:28.858212image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

SCA_PartWeight
Real number (ℝ≥0)

Distinct278
Distinct (%)49.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.71787234
Minimum86.23
Maximum112.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:28.952086image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum86.23
5-th percentile87.6315
Q192.0375
median96.055
Q3110.8025
95-th percentile112.38
Maximum112.78
Range26.55
Interquartile range (IQR)18.765

Descriptive statistics

Standard deviation9.149226335
Coefficient of variation (CV)0.09175111864
Kurtosis-1.555950961
Mean99.71787234
Median Absolute Deviation (MAD)5.705
Skewness0.3365605263
Sum56240.88
Variance83.70834253
MonotonicityNot monotonic
2022-10-25T10:09:29.076302image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.997
 
1.2%
112.546
 
1.1%
110.76
 
1.1%
97.636
 
1.1%
112.16
 
1.1%
110.216
 
1.1%
97.75
 
0.9%
110.845
 
0.9%
110.835
 
0.9%
111.785
 
0.9%
Other values (268)507
89.9%
ValueCountFrequency (%)
86.231
0.2%
86.961
0.2%
871
0.2%
87.011
0.2%
87.021
0.2%
ValueCountFrequency (%)
112.781
 
0.2%
112.771
 
0.2%
112.761
 
0.2%
112.752
 
0.4%
112.745
0.9%

ENV_AirTemperature
Real number (ℝ≥0)

Distinct33
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.93120567
Minimum16.8
Maximum22.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:29.180580image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum16.8
5-th percentile17.1
Q118.8
median19.8
Q321.3
95-th percentile22.7
Maximum22.9
Range6.1
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.645269218
Coefficient of variation (CV)0.08254740054
Kurtosis-0.7115490987
Mean19.93120567
Median Absolute Deviation (MAD)1.2
Skewness0.09241980737
Sum11241.2
Variance2.7069108
MonotonicityNot monotonic
2022-10-25T10:09:29.264062image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
21.649
 
8.7%
19.835
 
6.2%
19.126
 
4.6%
20.124
 
4.3%
20.324
 
4.3%
20.224
 
4.3%
22.724
 
4.3%
22.624
 
4.3%
18.424
 
4.3%
20.524
 
4.3%
Other values (23)286
50.7%
ValueCountFrequency (%)
16.813
2.3%
17.123
4.1%
17.218
3.2%
17.66
 
1.1%
18.112
2.1%
ValueCountFrequency (%)
22.912
2.1%
22.812
2.1%
22.724
4.3%
22.624
4.3%
21.912
2.1%

ENV_AirHumidity
Real number (ℝ≥0)

Distinct12
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.93439716
Minimum26
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:29.357905image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile27
Q130
median32
Q370
95-th percentile70
Maximum70
Range44
Interquartile range (IQR)40

Descriptive statistics

Standard deviation17.55774905
Coefficient of variation (CV)0.4186956351
Kurtosis-1.041857836
Mean41.93439716
Median Absolute Deviation (MAD)3
Skewness0.9334986255
Sum23651
Variance308.2745519
MonotonicityNot monotonic
2022-10-25T10:09:29.441764image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
70156
27.7%
3272
12.8%
3062
 
11.0%
3159
 
10.5%
3448
 
8.5%
2836
 
6.4%
3336
 
6.4%
2935
 
6.2%
2625
 
4.4%
4012
 
2.1%
Other values (2)23
 
4.1%
ValueCountFrequency (%)
2625
4.4%
2711
 
2.0%
2836
6.4%
2935
6.2%
3062
11.0%
ValueCountFrequency (%)
70156
27.7%
4012
 
2.1%
3912
 
2.1%
3448
 
8.5%
3336
 
6.4%

MET_MaterialMoisture
Real number (ℝ≥0)

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04634042553
Minimum0.042
Maximum0.049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:29.498500image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.042
5-th percentile0.042
Q10.042
median0.047
Q30.049
95-th percentile0.049
Maximum0.049
Range0.007
Interquartile range (IQR)0.007

Descriptive statistics

Standard deviation0.002817932395
Coefficient of variation (CV)0.06080937674
Kurtosis-1.148019915
Mean0.04634042553
Median Absolute Deviation (MAD)0.002
Skewness-0.7057921931
Sum26.136
Variance7.94074298 × 10-6
MonotonicityNot monotonic
2022-10-25T10:09:29.582437image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0.047204
36.2%
0.049204
36.2%
0.042156
27.7%
ValueCountFrequency (%)
0.042156
27.7%
0.047204
36.2%
0.049204
36.2%
ValueCountFrequency (%)
0.049204
36.2%
0.047204
36.2%
0.042156
27.7%

SET_CylinderTemperature
Real number (ℝ≥0)

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.3617021
Minimum200
Maximum260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:29.654813image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile200
Q1220
median240
Q3250
95-th percentile260
Maximum260
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation21.47203612
Coefficient of variation (CV)0.09161921905
Kurtosis-1.296381641
Mean234.3617021
Median Absolute Deviation (MAD)20
Skewness-0.3026437955
Sum132180
Variance461.0483353
MonotonicityNot monotonic
2022-10-25T10:09:29.740709image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
220144
25.5%
260132
23.4%
250108
19.1%
20096
17.0%
24072
12.8%
22512
 
2.1%
ValueCountFrequency (%)
20096
17.0%
220144
25.5%
22512
 
2.1%
24072
12.8%
250108
19.1%
ValueCountFrequency (%)
260132
23.4%
250108
19.1%
24072
12.8%
22512
 
2.1%
220144
25.5%

SET_ToolTemperature
Real number (ℝ≥0)

Distinct8
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.55319149
Minimum20
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:29.810755image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q120
median40
Q355
95-th percentile80
Maximum80
Range60
Interquartile range (IQR)35

Descriptive statistics

Standard deviation21.2789727
Coefficient of variation (CV)0.5000558583
Kurtosis-0.9266901745
Mean42.55319149
Median Absolute Deviation (MAD)20
Skewness0.5877609793
Sum24000
Variance452.794679
MonotonicityNot monotonic
2022-10-25T10:09:29.883591image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
20168
29.8%
50108
19.1%
3096
17.0%
8096
17.0%
4036
 
6.4%
6036
 
6.4%
3512
 
2.1%
5512
 
2.1%
ValueCountFrequency (%)
20168
29.8%
3096
17.0%
3512
 
2.1%
4036
 
6.4%
50108
19.1%
ValueCountFrequency (%)
8096
17.0%
6036
 
6.4%
5512
 
2.1%
50108
19.1%
4036
 
6.4%

SET_HoldingPressure1
Real number (ℝ≥0)

Distinct9
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.1702128
Minimum60
Maximum350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:29.951421image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile60
Q1150
median200
Q3300
95-th percentile350
Maximum350
Range290
Interquartile range (IQR)150

Descriptive statistics

Standard deviation94.82458011
Coefficient of variation (CV)0.4490433517
Kurtosis-0.9417179511
Mean211.1702128
Median Absolute Deviation (MAD)75
Skewness-0.04594603332
Sum119100
Variance8991.700994
MonotonicityNot monotonic
2022-10-25T10:09:30.030325image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
200228
40.4%
350108
19.1%
6084
 
14.9%
30048
 
8.5%
10036
 
6.4%
25024
 
4.3%
13012
 
2.1%
27512
 
2.1%
15012
 
2.1%
ValueCountFrequency (%)
6084
 
14.9%
10036
 
6.4%
13012
 
2.1%
15012
 
2.1%
200228
40.4%
ValueCountFrequency (%)
350108
19.1%
30048
 
8.5%
27512
 
2.1%
25024
 
4.3%
200228
40.4%

SET_HoldingPressure2
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.4893617
Minimum0
Maximum30
Zeros348
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:30.091941image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q330
95-th percentile30
Maximum30
Range30
Interquartile range (IQR)30

Descriptive statistics

Standard deviation14.59634107
Coefficient of variation (CV)1.270422278
Kurtosis-1.773261192
Mean11.4893617
Median Absolute Deviation (MAD)0
Skewness0.4827417578
Sum6480
Variance213.0531726
MonotonicityNot monotonic
2022-10-25T10:09:30.171916image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0348
61.7%
30216
38.3%
ValueCountFrequency (%)
0348
61.7%
30216
38.3%
ValueCountFrequency (%)
30216
38.3%
0348
61.7%

SET_InjectionSpeed
Real number (ℝ≥0)

Distinct11
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.0106383
Minimum15
Maximum104.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:30.248280image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile15
Q120
median58
Q3100
95-th percentile104.5
Maximum104.5
Range89.5
Interquartile range (IQR)80

Descriptive statistics

Standard deviation33.50000494
Coefficient of variation (CV)0.5582344379
Kurtosis-1.536829613
Mean60.0106383
Median Absolute Deviation (MAD)38
Skewness-0.1440243171
Sum33846
Variance1122.250331
MonotonicityNot monotonic
2022-10-25T10:09:30.326752image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
80120
21.3%
100108
19.1%
1596
17.0%
2072
12.8%
5860
10.6%
104.536
 
6.4%
4024
 
4.3%
5012
 
2.1%
47.512
 
2.1%
2512
 
2.1%
ValueCountFrequency (%)
1596
17.0%
2072
12.8%
2512
 
2.1%
4024
 
4.3%
47.512
 
2.1%
ValueCountFrequency (%)
104.536
 
6.4%
100108
19.1%
80120
21.3%
74.512
 
2.1%
5860
10.6%

SET_BackPressure
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)1.9%
Missing408
Missing (%)72.3%
Infinite0
Infinite (%)0.0%
Mean88.07692308
Minimum80
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:30.399357image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile80
Q180
median80
Q380
95-th percentile150
Maximum150
Range70
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.21227301
Coefficient of variation (CV)0.2294843224
Kurtosis4.306386245
Mean88.07692308
Median Absolute Deviation (MAD)0
Skewness2.385396521
Sum13740
Variance408.5359801
MonotonicityNot monotonic
2022-10-25T10:09:30.467227image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
80132
 
23.4%
15012
 
2.1%
11512
 
2.1%
(Missing)408
72.3%
ValueCountFrequency (%)
80132
23.4%
11512
 
2.1%
15012
 
2.1%
ValueCountFrequency (%)
15012
 
2.1%
11512
 
2.1%
80132
23.4%

SET_HoldingTime1
Real number (ℝ≥0)

ZEROS

Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.41489362
Minimum0
Maximum25
Zeros12
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:30.542677image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q17
median17.5
Q325
95-th percentile25
Maximum25
Range25
Interquartile range (IQR)18

Descriptive statistics

Standard deviation8.323170049
Coefficient of variation (CV)0.5070498928
Kurtosis-1.619510052
Mean16.41489362
Median Absolute Deviation (MAD)7.5
Skewness-0.232738988
Sum9258
Variance69.27515967
MonotonicityNot monotonic
2022-10-25T10:09:30.626909image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
25228
40.4%
7204
36.2%
17.548
 
8.5%
1536
 
6.4%
2024
 
4.3%
22.512
 
2.1%
012
 
2.1%
ValueCountFrequency (%)
012
 
2.1%
7204
36.2%
1536
 
6.4%
17.548
 
8.5%
2024
 
4.3%
ValueCountFrequency (%)
25228
40.4%
22.512
 
2.1%
2024
 
4.3%
17.548
 
8.5%
1536
 
6.4%

SET_HoldingTime2
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.510638298
Minimum0
Maximum18
Zeros360
Zeros (%)63.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:30.694816image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q318
95-th percentile18
Maximum18
Range18
Interquartile range (IQR)18

Descriptive statistics

Standard deviation8.656554942
Coefficient of variation (CV)1.329601576
Kurtosis-1.672801013
Mean6.510638298
Median Absolute Deviation (MAD)0
Skewness0.5771858799
Sum3672
Variance74.93594346
MonotonicityDecreasing
2022-10-25T10:09:30.765048image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0360
63.8%
18204
36.2%
ValueCountFrequency (%)
0360
63.8%
18204
36.2%
ValueCountFrequency (%)
18204
36.2%
0360
63.8%

SET_CoolingTime
Real number (ℝ≥0)

Distinct12
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.73617021
Minimum14
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:30.841178image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile14
Q115.5
median21.5
Q323
95-th percentile23
Maximum26
Range12
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation3.465358157
Coefficient of variation (CV)0.1755841239
Kurtosis-1.37421212
Mean19.73617021
Median Absolute Deviation (MAD)1.5
Skewness-0.3281185846
Sum11131.2
Variance12.00870715
MonotonicityNot monotonic
2022-10-25T10:09:30.922594image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
23144
25.5%
22.5108
19.1%
1896
17.0%
15.548
 
8.5%
1448
 
8.5%
15.324
 
4.3%
1524
 
4.3%
2024
 
4.3%
21.512
 
2.1%
2212
 
2.1%
Other values (2)24
 
4.3%
ValueCountFrequency (%)
1448
8.5%
1524
4.3%
15.324
4.3%
15.548
8.5%
1712
 
2.1%
ValueCountFrequency (%)
2612
 
2.1%
23144
25.5%
22.5108
19.1%
2212
 
2.1%
21.512
 
2.1%

SET_TransferVolume
Real number (ℝ≥0)

Distinct22
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.04425532
Minimum18
Maximum27.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:30.998223image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile18
Q120
median23
Q325.8
95-th percentile26.5
Maximum27.7
Range9.7
Interquartile range (IQR)5.8

Descriptive statistics

Standard deviation3.081546573
Coefficient of variation (CV)0.1337229835
Kurtosis-1.182541597
Mean23.04425532
Median Absolute Deviation (MAD)2.8
Skewness-0.4320000771
Sum12996.96
Variance9.495929285
MonotonicityNot monotonic
2022-10-25T10:09:31.092127image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1896
17.0%
2396
17.0%
26.448
 
8.5%
21.348
 
8.5%
25.736
 
6.4%
2024
 
4.3%
19.624
 
4.3%
25.824
 
4.3%
25.4512
 
2.1%
25.412
 
2.1%
Other values (12)144
25.5%
ValueCountFrequency (%)
1896
17.0%
19.624
 
4.3%
2024
 
4.3%
21.348
8.5%
2212
 
2.1%
ValueCountFrequency (%)
27.712
 
2.1%
26.812
 
2.1%
26.512
 
2.1%
26.448
8.5%
26.312
 
2.1%

LBL_NOK
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.274822695
Minimum0
Maximum1
Zeros409
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:31.173118image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4468211826
Coefficient of variation (CV)1.625852561
Kurtosis-0.9803674021
Mean0.274822695
Median Absolute Deviation (MAD)0
Skewness1.011494784
Sum155
Variance0.1996491692
MonotonicityNot monotonic
2022-10-25T10:09:31.249093image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0409
72.5%
1155
 
27.5%
ValueCountFrequency (%)
0409
72.5%
1155
 
27.5%
ValueCountFrequency (%)
1155
 
27.5%
0409
72.5%

LBL_SinkMarks
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2535460993
Minimum0
Maximum1
Zeros421
Zeros (%)74.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:31.321897image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4354269618
Coefficient of variation (CV)1.717348297
Kurtosis-0.7119531222
Mean0.2535460993
Median Absolute Deviation (MAD)0
Skewness1.136038797
Sum143
Variance0.1895966391
MonotonicityNot monotonic
2022-10-25T10:09:31.416301image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0421
74.6%
1143
 
25.4%
ValueCountFrequency (%)
0421
74.6%
1143
 
25.4%
ValueCountFrequency (%)
1143
 
25.4%
0421
74.6%

LBL_SprueCircle
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1276595745
Minimum0
Maximum1
Zeros492
Zeros (%)87.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:31.489612image/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 deviation0.3340066012
Coefficient of variation (CV)2.616385043
Kurtosis3.016974183
Mean0.1276595745
Median Absolute Deviation (MAD)0
Skewness2.237473625
Sum72
Variance0.1115604097
MonotonicityNot monotonic
2022-10-25T10:09:31.564488image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0492
87.2%
172
 
12.8%
ValueCountFrequency (%)
0492
87.2%
172
 
12.8%
ValueCountFrequency (%)
172
 
12.8%
0492
87.2%

LBL_Underfilled
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1063829787
Minimum0
Maximum1
Zeros504
Zeros (%)89.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:31.623466image/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 deviation0.3086008685
Coefficient of variation (CV)2.900848164
Kurtosis4.570081554
Mean0.1063829787
Median Absolute Deviation (MAD)0
Skewness2.560056266
Sum60
Variance0.09523449605
MonotonicityNot monotonic
2022-10-25T10:09:31.707987image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0504
89.4%
160
 
10.6%
ValueCountFrequency (%)
0504
89.4%
160
 
10.6%
ValueCountFrequency (%)
160
 
10.6%
0504
89.4%

LBL_StreaksLevel1
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05319148936
Minimum0
Maximum1
Zeros534
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:31.768233image/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 deviation0.224614354
Coefficient of variation (CV)4.222749855
Kurtosis13.9905212
Mean0.05319148936
Median Absolute Deviation (MAD)0
Skewness3.992608384
Sum30
Variance0.05045160803
MonotonicityNot monotonic
2022-10-25T10:09:31.860212image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0534
94.7%
130
 
5.3%
ValueCountFrequency (%)
0534
94.7%
130
 
5.3%
ValueCountFrequency (%)
130
 
5.3%
0534
94.7%

LBL_StreaksLevel2
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03191489362
Minimum0
Maximum1
Zeros546
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:31.920361image/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 deviation0.1759295632
Coefficient of variation (CV)5.512459648
Kurtosis26.61225923
Mean0.03191489362
Median Absolute Deviation (MAD)0
Skewness5.340215494
Sum18
Variance0.03095121122
MonotonicityNot monotonic
2022-10-25T10:09:32.000892image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0546
96.8%
118
 
3.2%
ValueCountFrequency (%)
0546
96.8%
118
 
3.2%
ValueCountFrequency (%)
118
 
3.2%
0546
96.8%

LBL_StreaksLevel3
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08510638298
Minimum0
Maximum1
Zeros516
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:32.060914image/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 deviation0.2792876425
Coefficient of variation (CV)3.281629799
Kurtosis6.914792099
Mean0.08510638298
Median Absolute Deviation (MAD)0
Skewness2.981657928
Sum48
Variance0.07800158724
MonotonicityNot monotonic
2022-10-25T10:09:32.147729image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0516
91.5%
148
 
8.5%
ValueCountFrequency (%)
0516
91.5%
148
 
8.5%
ValueCountFrequency (%)
148
 
8.5%
0516
91.5%

LBL_OldGranulate
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)0.5%
Missing152
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean0.02184466019
Minimum0
Maximum1
Zeros403
Zeros (%)71.5%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:32.218460image/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 deviation0.1463538862
Coefficient of variation (CV)6.699755678
Kurtosis41.31432477
Mean0.02184466019
Median Absolute Deviation (MAD)0
Skewness6.566109278
Sum9
Variance0.02141946
MonotonicityNot monotonic
2022-10-25T10:09:32.295208image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0403
71.5%
19
 
1.6%
(Missing)152
 
27.0%
ValueCountFrequency (%)
0403
71.5%
19
 
1.6%
ValueCountFrequency (%)
19
 
1.6%
0403
71.5%

CV_Width1
Real number (ℝ≥0)

Distinct550
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.0127039
Minimum29.2256
Maximum30.7939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:32.387976image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum29.2256
5-th percentile29.46985
Q129.847025
median29.9964
Q330.2349
95-th percentile30.433855
Maximum30.7939
Range1.5683
Interquartile range (IQR)0.387875

Descriptive statistics

Standard deviation0.2981475262
Coefficient of variation (CV)0.009934044169
Kurtosis-0.4808066698
Mean30.0127039
Median Absolute Deviation (MAD)0.19885
Skewness-0.341719508
Sum16927.165
Variance0.08889194737
MonotonicityNot monotonic
2022-10-25T10:09:32.499712image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.87922
 
0.4%
29.99052
 
0.4%
30.18112
 
0.4%
29.88442
 
0.4%
29.96852
 
0.4%
29.96842
 
0.4%
30.44112
 
0.4%
29.95922
 
0.4%
30.16182
 
0.4%
30.36782
 
0.4%
Other values (540)544
96.5%
ValueCountFrequency (%)
29.22561
0.2%
29.27661
0.2%
29.281
0.2%
29.30991
0.2%
29.34111
0.2%
ValueCountFrequency (%)
30.79391
0.2%
30.74881
0.2%
30.68011
0.2%
30.55511
0.2%
30.50521
0.2%

CV_Height1
Real number (ℝ≥0)

Distinct535
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.39735443
Minimum53.688
Maximum55.0309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:32.615359image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum53.688
5-th percentile53.78165
Q154.0134
median54.3578
Q354.78445
95-th percentile55.009025
Maximum55.0309
Range1.3429
Interquartile range (IQR)0.77105

Descriptive statistics

Standard deviation0.417395466
Coefficient of variation (CV)0.007673083928
Kurtosis-1.343751019
Mean54.39735443
Median Absolute Deviation (MAD)0.38325
Skewness0.06263741382
Sum30680.1079
Variance0.1742189751
MonotonicityNot monotonic
2022-10-25T10:09:32.734007image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54.36933
 
0.5%
55.00913
 
0.5%
54.35753
 
0.5%
54.34862
 
0.4%
55.01972
 
0.4%
54.83472
 
0.4%
54.3362
 
0.4%
54.01742
 
0.4%
54.01652
 
0.4%
54.00672
 
0.4%
Other values (525)541
95.9%
ValueCountFrequency (%)
53.6881
0.2%
53.68891
0.2%
53.70291
0.2%
53.70321
0.2%
53.70471
0.2%
ValueCountFrequency (%)
55.03091
0.2%
55.03041
0.2%
55.02811
0.2%
55.0271
0.2%
55.02671
0.2%

CV_Image1Name
Categorical

HIGH CARDINALITY

Distinct563
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
00_0_00635_I.bmp
 
2
00_0_00620_I.bmp
 
1
Frontal_31194.bmp
 
1
Frontal_31188.bmp
 
1
Frontal_31189.bmp
 
1
Other values (558)
558 

Unique

Unique562 ?
Unique (%)99.6%

Sample

1st row00_0_00620_I.bmp
2nd row00_0_00623_I.bmp
3rd row00_0_00626_I.bmp
4th row00_0_00629_I.bmp
5th row00_0_00635_I.bmp

Common Values

ValueCountFrequency (%)
00_0_00635_I.bmp2
 
0.4%
00_0_00620_I.bmp1
 
0.2%
Frontal_31194.bmp1
 
0.2%
Frontal_31188.bmp1
 
0.2%
Frontal_31189.bmp1
 
0.2%
Frontal_31190.bmp1
 
0.2%
Frontal_31191.bmp1
 
0.2%
Frontal_31192.bmp1
 
0.2%
Frontal_31193.bmp1
 
0.2%
Frontal_31195.bmp1
 
0.2%
Other values (553)553
98.0%

CV_Width2
Real number (ℝ≥0)

Distinct539
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.32944521
Minimum29.6822
Maximum31.2073
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:32.842532image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum29.6822
5-th percentile29.82437
Q130.19305
median30.38825
Q330.53795
95-th percentile30.643755
Maximum31.2073
Range1.5251
Interquartile range (IQR)0.3449

Descriptive statistics

Standard deviation0.2703671906
Coefficient of variation (CV)0.008914346725
Kurtosis-0.2436093419
Mean30.32944521
Median Absolute Deviation (MAD)0.1645
Skewness-0.4680416215
Sum17105.8071
Variance0.07309841776
MonotonicityNot monotonic
2022-10-25T10:09:32.951237image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.56913
 
0.5%
30.55342
 
0.4%
30.47132
 
0.4%
30.46932
 
0.4%
30.63312
 
0.4%
30.57772
 
0.4%
29.82412
 
0.4%
30.3162
 
0.4%
29.9112
 
0.4%
29.91992
 
0.4%
Other values (529)543
96.3%
ValueCountFrequency (%)
29.68221
0.2%
29.68571
0.2%
29.69241
0.2%
29.69961
0.2%
29.70211
0.2%
ValueCountFrequency (%)
31.20731
0.2%
31.0491
0.2%
31.03671
0.2%
30.99051
0.2%
30.98471
0.2%

CV_Height2
Real number (ℝ≥0)

Distinct532
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.59693404
Minimum53.5561
Maximum55.2312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:33.060827image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum53.5561
5-th percentile53.980255
Q154.41305
median54.558
Q354.862975
95-th percentile55.1005
Maximum55.2312
Range1.6751
Interquartile range (IQR)0.449925

Descriptive statistics

Standard deviation0.3557434433
Coefficient of variation (CV)0.006515813562
Kurtosis-0.6557049609
Mean54.59693404
Median Absolute Deviation (MAD)0.28115
Skewness-0.3055247135
Sum30792.6708
Variance0.1265533975
MonotonicityNot monotonic
2022-10-25T10:09:33.170987image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54.46343
 
0.5%
54.5582
 
0.4%
54.50722
 
0.4%
54.80752
 
0.4%
54.83552
 
0.4%
54.53932
 
0.4%
54.53172
 
0.4%
54.93822
 
0.4%
55.09972
 
0.4%
55.10052
 
0.4%
Other values (522)543
96.3%
ValueCountFrequency (%)
53.55611
0.2%
53.81491
0.2%
53.81751
0.2%
53.81821
0.2%
53.82061
0.2%
ValueCountFrequency (%)
55.23121
0.2%
55.16281
0.2%
55.12781
0.2%
55.1241
0.2%
55.12261
0.2%

CV_Height2Small
Real number (ℝ≥0)

ZEROS

Distinct483
Distinct (%)85.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.35134379
Minimum0
Maximum35.9859
Zeros55
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:33.282029image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.66175
median12.9577
Q313.221625
95-th percentile34.10682
Maximum35.9859
Range35.9859
Interquartile range (IQR)0.559875

Descriptive statistics

Standard deviation8.265514708
Coefficient of variation (CV)0.5759401229
Kurtosis1.59436221
Mean14.35134379
Median Absolute Deviation (MAD)0.29255
Skewness1.054746434
Sum8094.1579
Variance68.31873339
MonotonicityNot monotonic
2022-10-25T10:09:33.415121image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
055
 
9.8%
12.98994
 
0.7%
12.98873
 
0.5%
13.11342
 
0.4%
12.68752
 
0.4%
12.68322
 
0.4%
12.99532
 
0.4%
12.68532
 
0.4%
12.67282
 
0.4%
13.17852
 
0.4%
Other values (473)488
86.5%
ValueCountFrequency (%)
055
9.8%
12.4511
 
0.2%
12.45411
 
0.2%
12.45891
 
0.2%
12.46021
 
0.2%
ValueCountFrequency (%)
35.98591
0.2%
35.98321
0.2%
35.9821
0.2%
35.97951
0.2%
35.97771
0.2%

CV_Width2Small
Real number (ℝ≥0)

ZEROS

Distinct484
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.86007411
Minimum0
Maximum63.086
Zeros50
Zeros (%)8.9%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:33.529404image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.5376
median12.98855
Q313.08335
95-th percentile15.18391
Maximum63.086
Range63.086
Interquartile range (IQR)0.54575

Descriptive statistics

Standard deviation7.836128435
Coefficient of variation (CV)0.6093377352
Kurtosis27.6720844
Mean12.86007411
Median Absolute Deviation (MAD)0.405
Skewness4.340333836
Sum7253.0818
Variance61.40490884
MonotonicityNot monotonic
2022-10-25T10:09:33.623380image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
050
 
8.9%
12.58712
 
0.4%
13.08192
 
0.4%
13.08542
 
0.4%
13.04032
 
0.4%
12.48952
 
0.4%
12.53652
 
0.4%
12.49032
 
0.4%
13.08072
 
0.4%
13.08992
 
0.4%
Other values (474)496
87.9%
ValueCountFrequency (%)
050
8.9%
12.2421
 
0.2%
12.24431
 
0.2%
12.24521
 
0.2%
12.24721
 
0.2%
ValueCountFrequency (%)
63.0861
0.2%
62.95341
0.2%
62.93891
0.2%
62.81931
0.2%
62.76621
0.2%

CV_Image2Name
Categorical

HIGH CARDINALITY

Distinct563
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
00_0_00634_I.bmp
 
2
00_0_00619_I.bmp
 
1
Frontal_21177.bmp
 
1
Frontal_21171.bmp
 
1
Frontal_21172.bmp
 
1
Other values (558)
558 

Unique

Unique562 ?
Unique (%)99.6%

Sample

1st row00_0_00619_I.bmp
2nd row00_0_00622_I.bmp
3rd row00_0_00625_I.bmp
4th row00_0_00628_I.bmp
5th row00_0_00634_I.bmp

Common Values

ValueCountFrequency (%)
00_0_00634_I.bmp2
 
0.4%
00_0_00619_I.bmp1
 
0.2%
Frontal_21177.bmp1
 
0.2%
Frontal_21171.bmp1
 
0.2%
Frontal_21172.bmp1
 
0.2%
Frontal_21173.bmp1
 
0.2%
Frontal_21174.bmp1
 
0.2%
Frontal_21175.bmp1
 
0.2%
Frontal_21176.bmp1
 
0.2%
Frontal_21178.bmp1
 
0.2%
Other values (553)553
98.0%

CV_Width3
Real number (ℝ≥0)

Distinct544
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.95560089
Minimum28.613
Maximum36.5016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:33.739431image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum28.613
5-th percentile29.425765
Q129.746675
median29.88975
Q330.207925
95-th percentile30.429675
Maximum36.5016
Range7.8886
Interquartile range (IQR)0.46125

Descriptive statistics

Standard deviation0.4169802118
Coefficient of variation (CV)0.0139199415
Kurtosis106.9019293
Mean29.95560089
Median Absolute Deviation (MAD)0.23315
Skewness6.826355855
Sum16894.9589
Variance0.173872497
MonotonicityNot monotonic
2022-10-25T10:09:33.851498image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.42513
 
0.5%
29.7372
 
0.4%
30.43542
 
0.4%
30.1732
 
0.4%
29.82012
 
0.4%
29.83512
 
0.4%
30.18642
 
0.4%
29.78292
 
0.4%
29.78092
 
0.4%
30.27362
 
0.4%
Other values (534)543
96.3%
ValueCountFrequency (%)
28.6131
0.2%
29.20631
0.2%
29.22711
0.2%
29.22821
0.2%
29.25151
0.2%
ValueCountFrequency (%)
36.50161
0.2%
30.71
0.2%
30.68231
0.2%
30.55041
0.2%
30.53561
0.2%

CV_Height3
Real number (ℝ≥0)

ZEROS

Distinct533
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.34651241
Minimum0
Maximum55.1594
Zeros12
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:33.960846image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile53.99423
Q154.25805
median54.4714
Q354.601225
95-th percentile55.145795
Maximum55.1594
Range55.1594
Interquartile range (IQR)0.343175

Descriptive statistics

Standard deviation7.879912967
Coefficient of variation (CV)0.1477118674
Kurtosis42.23689521
Mean53.34651241
Median Absolute Deviation (MAD)0.2019
Skewness-6.632944255
Sum30087.433
Variance62.09302836
MonotonicityNot monotonic
2022-10-25T10:09:34.060705image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
2.1%
54.49363
 
0.5%
54.49133
 
0.5%
54.58192
 
0.4%
55.13092
 
0.4%
54.47122
 
0.4%
55.09022
 
0.4%
55.1472
 
0.4%
54.29752
 
0.4%
54.31082
 
0.4%
Other values (523)532
94.3%
ValueCountFrequency (%)
012
2.1%
53.7021
 
0.2%
53.96291
 
0.2%
53.96911
 
0.2%
53.96961
 
0.2%
ValueCountFrequency (%)
55.15941
0.2%
55.15621
0.2%
55.1561
0.2%
55.15411
0.2%
55.1541
0.2%

CV_Diameter3
Real number (ℝ≥0)

Distinct551
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.07968328
Minimum8.02712
Maximum12.2979
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:34.154566image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum8.02712
5-th percentile9.4559695
Q19.8147025
median10.16575
Q310.41355
95-th percentile10.47314
Maximum12.2979
Range4.27078
Interquartile range (IQR)0.5988475

Descriptive statistics

Standard deviation0.3863093927
Coefficient of variation (CV)0.03832554873
Kurtosis3.989260351
Mean10.07968328
Median Absolute Deviation (MAD)0.262245
Skewness-0.04501811943
Sum5684.94137
Variance0.1492349469
MonotonicityNot monotonic
2022-10-25T10:09:34.279865image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.44863
 
0.5%
10.45562
 
0.4%
10.4432
 
0.4%
10.45972
 
0.4%
10.23392
 
0.4%
10.11872
 
0.4%
10.46712
 
0.4%
10.40432
 
0.4%
10.442
 
0.4%
10.46882
 
0.4%
Other values (541)543
96.3%
ValueCountFrequency (%)
8.027121
0.2%
8.666271
0.2%
9.016481
0.2%
9.181831
0.2%
9.261351
0.2%
ValueCountFrequency (%)
12.29791
0.2%
12.19571
0.2%
11.4511
0.2%
10.76511
0.2%
10.68891
0.2%

CV_Image3Name
Categorical

HIGH CARDINALITY

Distinct563
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
00_0_00633_I.bmp
 
2
00_0_00618_I.bmp
 
1
Frontal_11225.bmp
 
1
Frontal_11219.bmp
 
1
Frontal_11220.bmp
 
1
Other values (558)
558 

Unique

Unique562 ?
Unique (%)99.6%

Sample

1st row00_0_00618_I.bmp
2nd row00_0_00621_I.bmp
3rd row00_0_00624_I.bmp
4th row00_0_00627_I.bmp
5th row00_0_00633_I.bmp

Common Values

ValueCountFrequency (%)
00_0_00633_I.bmp2
 
0.4%
00_0_00618_I.bmp1
 
0.2%
Frontal_11225.bmp1
 
0.2%
Frontal_11219.bmp1
 
0.2%
Frontal_11220.bmp1
 
0.2%
Frontal_11221.bmp1
 
0.2%
Frontal_11222.bmp1
 
0.2%
Frontal_11223.bmp1
 
0.2%
Frontal_11224.bmp1
 
0.2%
Frontal_11226.bmp1
 
0.2%
Other values (553)553
98.0%

QUA_CycleTime
Real number (ℝ≥0)

Distinct114
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.93656028
Minimum40.2
Maximum60.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:34.391582image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum40.2
5-th percentile41.24
Q156.56
median56.92
Q357.62
95-th percentile57.76
Maximum60.38
Range20.18
Interquartile range (IQR)1.06

Descriptive statistics

Standard deviation4.969375723
Coefficient of variation (CV)0.09045662301
Kurtosis2.322047312
Mean54.93656028
Median Absolute Deviation (MAD)0.69
Skewness-1.870322621
Sum30984.22
Variance24.69469507
MonotonicityNot monotonic
2022-10-25T10:09:34.498129image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.6422
 
3.9%
57.6221
 
3.7%
57.6320
 
3.5%
56.6317
 
3.0%
57.6517
 
3.0%
56.6516
 
2.8%
56.6415
 
2.7%
56.6213
 
2.3%
56.9211
 
2.0%
57.7511
 
2.0%
Other values (104)401
71.1%
ValueCountFrequency (%)
40.21
 
0.2%
40.215
0.9%
40.224
0.7%
40.232
 
0.4%
40.261
 
0.2%
ValueCountFrequency (%)
60.381
 
0.2%
60.375
0.9%
60.363
0.5%
60.352
 
0.4%
60.341
 
0.2%

QUA_InjectionTime
Real number (ℝ≥0)

Distinct25
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.781524823
Minimum1.28
Maximum8.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:34.611531image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.28
5-th percentile1.29
Q11.34
median2.22
Q36.53
95-th percentile8.73
Maximum8.76
Range7.48
Interquartile range (IQR)5.19

Descriptive statistics

Standard deviation2.853904088
Coefficient of variation (CV)0.7546966426
Kurtosis-1.143640331
Mean3.781524823
Median Absolute Deviation (MAD)0.89
Skewness0.7559669709
Sum2132.78
Variance8.144768541
MonotonicityNot monotonic
2022-10-25T10:09:34.700300image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1.3365
 
11.5%
8.6548
 
8.5%
1.3443
 
7.6%
1.6536
 
6.4%
1.6436
 
6.4%
8.7324
 
4.3%
1.2824
 
4.3%
2.2224
 
4.3%
6.5324
 
4.3%
6.4224
 
4.3%
Other values (15)216
38.3%
ValueCountFrequency (%)
1.2824
 
4.3%
1.2912
 
2.1%
1.3365
11.5%
1.3443
7.6%
1.6436
6.4%
ValueCountFrequency (%)
8.7624
4.3%
8.7324
4.3%
8.6548
8.5%
6.5424
4.3%
6.5324
4.3%

QUA_PlastificationTime
Real number (ℝ≥0)

Distinct153
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.34730496
Minimum10.3
Maximum14.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:34.795220image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum10.3
5-th percentile10.703
Q111
median11.33
Q311.55
95-th percentile11.79
Maximum14.47
Range4.17
Interquartile range (IQR)0.55

Descriptive statistics

Standard deviation0.5937099296
Coefficient of variation (CV)0.05232166858
Kurtosis12.21087827
Mean11.34730496
Median Absolute Deviation (MAD)0.26
Skewness2.820350435
Sum6399.88
Variance0.3524914805
MonotonicityNot monotonic
2022-10-25T10:09:34.907940image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.5714
 
2.5%
11.5411
 
2.0%
11.510
 
1.8%
11.4310
 
1.8%
11.559
 
1.6%
11.479
 
1.6%
11.399
 
1.6%
11.629
 
1.6%
10.829
 
1.6%
10.959
 
1.6%
Other values (143)465
82.4%
ValueCountFrequency (%)
10.31
0.2%
10.351
0.2%
10.361
0.2%
10.382
0.4%
10.391
0.2%
ValueCountFrequency (%)
14.471
0.2%
14.461
0.2%
14.412
0.4%
14.41
0.2%
14.371
0.2%

QUA_CushionVolume
Real number (ℝ≥0)

Distinct396
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.48299645
Minimum5.37
Maximum25.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:34.998139image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum5.37
5-th percentile7.26
Q113.23
median15.84
Q318.0125
95-th percentile21.851
Maximum25.2
Range19.83
Interquartile range (IQR)4.7825

Descriptive statistics

Standard deviation4.581086384
Coefficient of variation (CV)0.2958785399
Kurtosis-0.4774804252
Mean15.48299645
Median Absolute Deviation (MAD)2.285
Skewness-0.3324482625
Sum8732.41
Variance20.98635246
MonotonicityNot monotonic
2022-10-25T10:09:35.132917image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.455
 
0.9%
15.45
 
0.9%
17.525
 
0.9%
18.074
 
0.7%
18.054
 
0.7%
17.624
 
0.7%
17.554
 
0.7%
17.54
 
0.7%
15.424
 
0.7%
20.934
 
0.7%
Other values (386)521
92.4%
ValueCountFrequency (%)
5.371
0.2%
5.551
0.2%
5.611
0.2%
5.711
0.2%
5.721
0.2%
ValueCountFrequency (%)
25.21
0.2%
24.871
0.2%
24.762
0.4%
24.752
0.4%
24.731
0.2%

QUA_InjectionPressureMax
Real number (ℝ≥0)

Distinct127
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean371.1028369
Minimum190
Maximum633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:35.232960image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum190
5-th percentile209
Q1278
median311
Q3434
95-th percentile604
Maximum633
Range443
Interquartile range (IQR)156

Descriptive statistics

Standard deviation125.6981642
Coefficient of variation (CV)0.33871518
Kurtosis-0.7074677981
Mean371.1028369
Median Absolute Deviation (MAD)85
Skewness0.6558026526
Sum209302
Variance15800.02848
MonotonicityNot monotonic
2022-10-25T10:09:35.342048image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30638
 
6.7%
20915
 
2.7%
41315
 
2.7%
41114
 
2.5%
28213
 
2.3%
19912
 
2.1%
56212
 
2.1%
27412
 
2.1%
25212
 
2.1%
60310
 
1.8%
Other values (117)411
72.9%
ValueCountFrequency (%)
1904
 
0.7%
1914
 
0.7%
1923
 
0.5%
1931
 
0.2%
19912
2.1%
ValueCountFrequency (%)
6331
 
0.2%
6322
0.4%
6312
0.4%
6302
0.4%
6294
0.7%

QUA_TransferPressure
Real number (ℝ≥0)

Distinct126
Distinct (%)22.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean297.8439716
Minimum170
Maximum622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:35.463217image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum170
5-th percentile175.15
Q1202
median261
Q3386
95-th percentile553.7
Maximum622
Range452
Interquartile range (IQR)184

Descriptive statistics

Standard deviation123.4625684
Coefficient of variation (CV)0.414520958
Kurtosis0.233825663
Mean297.8439716
Median Absolute Deviation (MAD)70.5
Skewness1.094463497
Sum167984
Variance15243.00581
MonotonicityNot monotonic
2022-10-25T10:09:35.569253image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18815
 
2.7%
20713
 
2.3%
20912
 
2.1%
18711
 
2.0%
18511
 
2.0%
55110
 
1.8%
23010
 
1.8%
30910
 
1.8%
31110
 
1.8%
20810
 
1.8%
Other values (116)452
80.1%
ValueCountFrequency (%)
1701
 
0.2%
1714
0.7%
1723
 
0.5%
1739
1.6%
1746
1.1%
ValueCountFrequency (%)
6222
 
0.4%
6211
 
0.2%
6203
0.5%
6195
0.9%
6186
1.1%

QUA_TransferStroke
Real number (ℝ≥0)

Distinct27
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.92659574
Minimum19.6
Maximum27.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:35.668184image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum19.6
5-th percentile19.99
Q121.28
median24.89
Q325.78
95-th percentile26.48
Maximum27.69
Range8.09
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation2.368233172
Coefficient of variation (CV)0.09897911081
Kurtosis-1.159140575
Mean23.92659574
Median Absolute Deviation (MAD)1.4
Skewness-0.5361183925
Sum13494.6
Variance5.608528355
MonotonicityNot monotonic
2022-10-25T10:09:35.770664image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
26.3848
 
8.5%
21.2848
 
8.5%
25.6936
 
6.4%
19.9924
 
4.3%
24.4924
 
4.3%
20.4924
 
4.3%
25.4924
 
4.3%
22.7324
 
4.3%
25.7824
 
4.3%
23.9924
 
4.3%
Other values (17)264
46.8%
ValueCountFrequency (%)
19.624
4.3%
19.9924
4.3%
20.2524
4.3%
20.4924
4.3%
21.2848
8.5%
ValueCountFrequency (%)
27.6912
 
2.1%
26.7812
 
2.1%
26.4812
 
2.1%
26.3848
8.5%
26.2912
 
2.1%

QUA_OilTemperature
Real number (ℝ≥0)

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.94326241
Minimum18
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:35.858972image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile18
Q119
median20
Q321
95-th percentile22
Maximum22
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.260257661
Coefficient of variation (CV)0.06319215159
Kurtosis-1.050625549
Mean19.94326241
Median Absolute Deviation (MAD)1
Skewness0.04301747913
Sum11248
Variance1.588249373
MonotonicityNot monotonic
2022-10-25T10:09:35.935829image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
19140
24.8%
20136
24.1%
21132
23.4%
1884
14.9%
2272
12.8%
ValueCountFrequency (%)
1884
14.9%
19140
24.8%
20136
24.1%
21132
23.4%
2272
12.8%
ValueCountFrequency (%)
2272
12.8%
21132
23.4%
20136
24.1%
19140
24.8%
1884
14.9%

QUA_CylinderTemperature11
Real number (ℝ≥0)

Distinct24
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.7553191
Minimum199
Maximum261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:36.013619image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum199
5-th percentile200
Q1220
median240
Q3251.25
95-th percentile260
Maximum261
Range62
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation21.16358656
Coefficient of variation (CV)0.09015168065
Kurtosis-1.312348736
Mean234.7553191
Median Absolute Deviation (MAD)20
Skewness-0.288725788
Sum132402
Variance447.8973962
MonotonicityNot monotonic
2022-10-25T10:09:36.107713image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
260110
19.5%
22091
16.1%
25077
13.7%
24038
 
6.7%
20136
 
6.4%
22136
 
6.4%
20024
 
4.3%
24120
 
3.5%
25119
 
3.4%
26115
 
2.7%
Other values (14)98
17.4%
ValueCountFrequency (%)
1997
 
1.2%
20024
4.3%
20136
6.4%
20214
 
2.5%
2037
 
1.2%
ValueCountFrequency (%)
26115
 
2.7%
260110
19.5%
2597
 
1.2%
2529
 
1.6%
25119
 
3.4%

QUA_CylinderTemperature04
Real number (ℝ≥0)

Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.3723404
Minimum200
Maximum260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:36.199508image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile200
Q1220
median240
Q3250
95-th percentile260
Maximum260
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation21.47507988
Coefficient of variation (CV)0.09162804725
Kurtosis-1.29670426
Mean234.3723404
Median Absolute Deviation (MAD)20
Skewness-0.3038842166
Sum132186
Variance461.179056
MonotonicityNot monotonic
2022-10-25T10:09:36.273048image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
220144
25.5%
260132
23.4%
250108
19.1%
20096
17.0%
24066
11.7%
22512
 
2.1%
2416
 
1.1%
ValueCountFrequency (%)
20096
17.0%
220144
25.5%
22512
 
2.1%
24066
11.7%
2416
 
1.1%
ValueCountFrequency (%)
260132
23.4%
250108
19.1%
2416
 
1.1%
24066
11.7%
22512
 
2.1%

QUA_CylinderTemperature03
Real number (ℝ≥0)

Distinct12
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.5301418
Minimum195
Maximum260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:36.361902image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum195
5-th percentile195
Q1215
median235
Q3245
95-th percentile260
Maximum260
Range65
Interquartile range (IQR)30

Descriptive statistics

Standard deviation21.92116051
Coefficient of variation (CV)0.09467951056
Kurtosis-1.047753942
Mean231.5301418
Median Absolute Deviation (MAD)15
Skewness-0.345290954
Sum130583
Variance480.5372781
MonotonicityNot monotonic
2022-10-25T10:09:36.435706image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
245108
19.1%
19596
17.0%
26096
17.0%
22295
16.8%
23560
10.6%
21547
8.3%
25536
 
6.4%
22012
 
2.1%
24111
 
2.0%
2211
 
0.2%
Other values (2)2
 
0.4%
ValueCountFrequency (%)
19596
17.0%
21547
8.3%
2161
 
0.2%
22012
 
2.1%
2211
 
0.2%
ValueCountFrequency (%)
26096
17.0%
25536
 
6.4%
245108
19.1%
24111
 
2.0%
2401
 
0.2%

QUA_CylinderTemperature02
Real number (ℝ≥0)

Distinct16
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean229.1400709
Minimum194
Maximum255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:36.526681image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum194
5-th percentile195
Q1215
median234
Q3245
95-th percentile255
Maximum255
Range61
Interquartile range (IQR)30

Descriptive statistics

Standard deviation21.37111538
Coefficient of variation (CV)0.09326660019
Kurtosis-1.293980373
Mean229.1400709
Median Absolute Deviation (MAD)19
Skewness-0.2950319322
Sum129235
Variance456.7245726
MonotonicityNot monotonic
2022-10-25T10:09:36.604727image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
215105
18.6%
255105
18.6%
19594
16.7%
24587
15.4%
23537
 
6.6%
21427
 
4.8%
23424
 
4.3%
25420
 
3.5%
24416
 
2.8%
22012
 
2.1%
Other values (6)37
 
6.6%
ValueCountFrequency (%)
1942
 
0.4%
19594
16.7%
21427
 
4.8%
215105
18.6%
21612
 
2.1%
ValueCountFrequency (%)
255105
18.6%
25420
 
3.5%
2535
 
0.9%
2522
 
0.4%
24587
15.4%

QUA_CylinderTemperature01
Real number (ℝ≥0)

Distinct26
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223.8297872
Minimum189
Maximum251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:36.685773image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum189
5-th percentile190
Q1210
median229
Q3240
95-th percentile250
Maximum251
Range62
Interquartile range (IQR)30

Descriptive statistics

Standard deviation21.24297646
Coefficient of variation (CV)0.094906834
Kurtosis-1.291873189
Mean223.8297872
Median Absolute Deviation (MAD)19
Skewness-0.2839653331
Sum126240
Variance451.264049
MonotonicityNot monotonic
2022-10-25T10:09:36.780180image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
21098
17.4%
19092
16.3%
25090
16.0%
23953
9.4%
24043
7.6%
20937
 
6.6%
23026
 
4.6%
22922
 
3.9%
24921
 
3.7%
22814
 
2.5%
Other values (16)68
12.1%
ValueCountFrequency (%)
1894
 
0.7%
19092
16.3%
2087
 
1.2%
20937
 
6.6%
21098
17.4%
ValueCountFrequency (%)
2512
 
0.4%
25090
16.0%
24921
 
3.7%
2486
 
1.1%
2476
 
1.1%

QUA_FlangeTemperature
Real number (ℝ≥0)

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.11170213
Minimum39
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:36.863167image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile40
Q140
median50
Q350
95-th percentile50
Maximum51
Range12
Interquartile range (IQR)10

Descriptive statistics

Standard deviation4.805998835
Coefficient of variation (CV)0.1042251449
Kurtosis-1.766764325
Mean46.11170213
Median Absolute Deviation (MAD)0
Skewness-0.4757495352
Sum26007
Variance23.09762481
MonotonicityNot monotonic
2022-10-25T10:09:36.941029image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
50305
54.1%
40208
36.9%
4941
 
7.3%
417
 
1.2%
512
 
0.4%
391
 
0.2%
ValueCountFrequency (%)
391
 
0.2%
40208
36.9%
417
 
1.2%
4941
 
7.3%
50305
54.1%
ValueCountFrequency (%)
512
 
0.4%
50305
54.1%
4941
 
7.3%
417
 
1.2%
40208
36.9%

QUA_ToolTemperature1
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.33333333
Minimum0
Maximum85
Zeros216
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:37.014213image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median32
Q360
95-th percentile84
Maximum85
Range85
Interquartile range (IQR)60

Descriptive statistics

Standard deviation31.18823084
Coefficient of variation (CV)0.9356469253
Kurtosis-1.199459976
Mean33.33333333
Median Absolute Deviation (MAD)32
Skewness0.3702832604
Sum18800
Variance972.705743
MonotonicityNot monotonic
2022-10-25T10:09:37.096070image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0216
38.3%
8448
 
8.5%
3637
 
6.6%
3136
 
6.4%
3236
 
6.4%
3735
 
6.2%
4924
 
4.3%
8324
 
4.3%
8524
 
4.3%
5012
 
2.1%
Other values (8)72
 
12.8%
ValueCountFrequency (%)
0216
38.3%
3136
 
6.4%
3236
 
6.4%
351
 
0.2%
3637
 
6.6%
ValueCountFrequency (%)
8524
4.3%
8448
8.5%
8324
4.3%
6912
 
2.1%
6812
 
2.1%

QUA_ToolTemperature2
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.71276596
Minimum0
Maximum86
Zeros216
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:37.169949image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median34
Q361
95-th percentile85
Maximum86
Range86
Interquartile range (IQR)61

Descriptive statistics

Standard deviation31.61130124
Coefficient of variation (CV)0.9376656095
Kurtosis-1.198205612
Mean33.71276596
Median Absolute Deviation (MAD)34
Skewness0.3774685573
Sum19014
Variance999.274366
MonotonicityNot monotonic
2022-10-25T10:09:37.254989image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0216
38.3%
8548
 
8.5%
3746
 
8.2%
3133
 
5.9%
3625
 
4.4%
3825
 
4.4%
4924
 
4.3%
8424
 
4.3%
8624
 
4.3%
3315
 
2.7%
Other values (11)84
 
14.9%
ValueCountFrequency (%)
0216
38.3%
303
 
0.5%
3133
 
5.9%
329
 
1.6%
3315
 
2.7%
ValueCountFrequency (%)
8624
4.3%
8548
8.5%
8424
4.3%
7212
 
2.1%
708
 
1.4%

QUA_ToolClosingTime
Real number (ℝ≥0)

Distinct8
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.593102837
Minimum1.58
Maximum1.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:37.341974image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.58
5-th percentile1.58
Q11.59
median1.59
Q31.6
95-th percentile1.6
Maximum1.75
Range0.17
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.01607431871
Coefficient of variation (CV)0.01008994419
Kurtosis59.85228856
Mean1.593102837
Median Absolute Deviation (MAD)0.01
Skewness6.967281262
Sum898.51
Variance0.000258383722
MonotonicityNot monotonic
2022-10-25T10:09:37.405045image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1.59264
46.8%
1.6192
34.0%
1.58102
 
18.1%
1.742
 
0.4%
1.721
 
0.2%
1.731
 
0.2%
1.751
 
0.2%
1.711
 
0.2%
ValueCountFrequency (%)
1.58102
 
18.1%
1.59264
46.8%
1.6192
34.0%
1.711
 
0.2%
1.721
 
0.2%
ValueCountFrequency (%)
1.751
0.2%
1.742
0.4%
1.731
0.2%
1.721
0.2%
1.711
0.2%

QUA_ClampForceDecreaseTime
Real number (ℝ≥0)

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3845390071
Minimum0.37
Maximum0.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:37.495338image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.37
5-th percentile0.37
Q10.38
median0.38
Q30.39
95-th percentile0.4
Maximum0.41
Range0.04
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.01021788752
Coefficient of variation (CV)0.02657178421
Kurtosis-0.8853772018
Mean0.3845390071
Median Absolute Deviation (MAD)0.01
Skewness0.2353414663
Sum216.88
Variance0.0001044052253
MonotonicityNot monotonic
2022-10-25T10:09:37.575598image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0.38209
37.1%
0.39141
25.0%
0.37106
18.8%
0.4103
18.3%
0.415
 
0.9%
ValueCountFrequency (%)
0.37106
18.8%
0.38209
37.1%
0.39141
25.0%
0.4103
18.3%
0.415
 
0.9%
ValueCountFrequency (%)
0.415
 
0.9%
0.4103
18.3%
0.39141
25.0%
0.38209
37.1%
0.37106
18.8%

QUA_ClampForceIncreaseTime
Real number (ℝ≥0)

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3239361702
Minimum0.32
Maximum0.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:37.654670image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.32
5-th percentile0.32
Q10.32
median0.32
Q30.33
95-th percentile0.33
Maximum0.33
Range0.01
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.004889852858
Coefficient of variation (CV)0.01509511227
Kurtosis-1.815774568
Mean0.3239361702
Median Absolute Deviation (MAD)0
Skewness0.4366657605
Sum182.7
Variance2.391066097 × 10-5
MonotonicityNot monotonic
2022-10-25T10:09:37.731724image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0.32342
60.6%
0.33222
39.4%
ValueCountFrequency (%)
0.32342
60.6%
0.33222
39.4%
ValueCountFrequency (%)
0.33222
39.4%
0.32342
60.6%

QUA_ToolOpeningTime
Real number (ℝ≥0)

Distinct9
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.81070922
Minimum1.78
Maximum2.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:37.822064image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.78
5-th percentile1.78
Q11.8
median1.81
Q31.82
95-th percentile1.84
Maximum2.02
Range0.24
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.02363564127
Coefficient of variation (CV)0.01305325063
Kurtosis28.88163541
Mean1.81070922
Median Absolute Deviation (MAD)0.01
Skewness3.410980916
Sum1021.24
Variance0.0005586435383
MonotonicityNot monotonic
2022-10-25T10:09:37.912199image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1.81121
21.5%
1.896
17.0%
1.8287
15.4%
1.8386
15.2%
1.7883
14.7%
1.8448
 
8.5%
1.7940
 
7.1%
2.022
 
0.4%
2.011
 
0.2%
ValueCountFrequency (%)
1.7883
14.7%
1.7940
 
7.1%
1.896
17.0%
1.81121
21.5%
1.8287
15.4%
ValueCountFrequency (%)
2.022
 
0.4%
2.011
 
0.2%
1.8448
8.5%
1.8386
15.2%
1.8287
15.4%

QUA_CoolingTime
Real number (ℝ≥0)

Distinct20
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.73650709
Minimum14
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:37.987856image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile14
Q115.51
median21.5
Q323
95-th percentile23
Maximum26
Range12
Interquartile range (IQR)7.49

Descriptive statistics

Standard deviation3.465172116
Coefficient of variation (CV)0.1755717007
Kurtosis-1.374157999
Mean19.73650709
Median Absolute Deviation (MAD)1.5
Skewness-0.3281180248
Sum11131.39
Variance12.0074178
MonotonicityNot monotonic
2022-10-25T10:09:38.076635image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
23142
25.2%
22.5106
18.8%
1894
16.7%
1448
 
8.5%
15.543
 
7.6%
2024
 
4.3%
15.322
 
3.9%
1520
 
3.5%
2612
 
2.1%
1712
 
2.1%
Other values (10)41
 
7.3%
ValueCountFrequency (%)
1448
8.5%
1520
3.5%
15.014
 
0.7%
15.322
3.9%
15.312
 
0.4%
ValueCountFrequency (%)
2612
 
2.1%
23.012
 
0.4%
23142
25.2%
22.512
 
0.4%
22.5106
18.8%

QUA_EjectionTime
Real number (ℝ≥0)

Distinct19
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.786950355
Minimum2.56
Maximum3.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:38.154793image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum2.56
5-th percentile2.59
Q12.62
median2.86
Q32.88
95-th percentile2.89
Maximum3.18
Range0.62
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.1281176372
Coefficient of variation (CV)0.04597054878
Kurtosis-1.096925902
Mean2.786950355
Median Absolute Deviation (MAD)0.03
Skewness-0.5049578313
Sum1571.84
Variance0.01641412897
MonotonicityNot monotonic
2022-10-25T10:09:38.244793image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2.87113
20.0%
2.8696
17.0%
2.8980
14.2%
2.6267
11.9%
2.8861
10.8%
2.6141
 
7.3%
2.6329
 
5.1%
2.6415
 
2.7%
2.5611
 
2.0%
2.5811
 
2.0%
Other values (9)40
 
7.1%
ValueCountFrequency (%)
2.5611
2.0%
2.571
 
0.2%
2.5811
2.0%
2.5911
2.0%
2.64
 
0.7%
ValueCountFrequency (%)
3.181
 
0.2%
3.152
 
0.4%
3.141
 
0.2%
2.99
 
1.6%
2.8980
14.2%

QUA_WaitingTime
Real number (ℝ≥0)

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01542553191
Minimum0.01
Maximum0.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:38.310570image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.01
Q10.01
median0.02
Q30.02
95-th percentile0.02
Maximum0.02
Range0.01
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.004986281774
Coefficient of variation (CV)0.3232486116
Kurtosis-1.977685976
Mean0.01542553191
Median Absolute Deviation (MAD)0
Skewness-0.1712884601
Sum8.7
Variance2.486300593 × 10-5
MonotonicityNot monotonic
2022-10-25T10:09:38.404585image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0.02306
54.3%
0.01258
45.7%
ValueCountFrequency (%)
0.01258
45.7%
0.02306
54.3%
ValueCountFrequency (%)
0.02306
54.3%
0.01258
45.7%

QUA_HoldingTime
Real number (ℝ≥0)

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.45744681
Minimum15
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:38.498652image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile15
Q125
median25
Q325
95-th percentile25
Maximum25
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.163114099
Coefficient of variation (CV)0.1348447734
Kurtosis1.478083907
Mean23.45744681
Median Absolute Deviation (MAD)0
Skewness-1.762918015
Sum13230
Variance10.00529081
MonotonicityNot monotonic
2022-10-25T10:09:38.610363image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
25444
78.7%
17.548
 
8.5%
1536
 
6.4%
2024
 
4.3%
22.512
 
2.1%
ValueCountFrequency (%)
1536
 
6.4%
17.548
 
8.5%
2024
 
4.3%
22.512
 
2.1%
25444
78.7%
ValueCountFrequency (%)
25444
78.7%
22.512
 
2.1%
2024
 
4.3%
17.548
 
8.5%
1536
 
6.4%

QUA_InjectionUnitForwardsTime
Real number (ℝ≥0)

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1433156028
Minimum0.14
Maximum0.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:38.678635image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.14
5-th percentile0.14
Q10.14
median0.14
Q30.15
95-th percentile0.15
Maximum0.15
Range0.01
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.004711918054
Coefficient of variation (CV)0.03287791393
Kurtosis-1.490497401
Mean0.1433156028
Median Absolute Deviation (MAD)0
Skewness0.7174961193
Sum80.83
Variance2.220217175 × 10-5
MonotonicityNot monotonic
2022-10-25T10:09:38.757268image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0.14377
66.8%
0.15187
33.2%
ValueCountFrequency (%)
0.14377
66.8%
0.15187
33.2%
ValueCountFrequency (%)
0.15187
33.2%
0.14377
66.8%

QUA_InjectionUnitBackwardsTime
Real number (ℝ≥0)

Distinct22
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6958687943
Minimum0.52
Maximum0.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:38.826578image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.52
5-th percentile0.53
Q10.64
median0.72
Q30.75
95-th percentile0.84
Maximum0.84
Range0.32
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.08367952793
Coefficient of variation (CV)0.1202518759
Kurtosis-0.3109259532
Mean0.6958687943
Median Absolute Deviation (MAD)0.03
Skewness-0.467124625
Sum392.47
Variance0.007002263394
MonotonicityNot monotonic
2022-10-25T10:09:38.919630image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.7281
14.4%
0.779
14.0%
0.7576
13.5%
0.7340
 
7.1%
0.7436
 
6.4%
0.8432
 
5.7%
0.6928
 
5.0%
0.8326
 
4.6%
0.5724
 
4.3%
0.5620
 
3.5%
Other values (12)122
21.6%
ValueCountFrequency (%)
0.5220
3.5%
0.5316
2.8%
0.554
 
0.7%
0.5620
3.5%
0.5724
4.3%
ValueCountFrequency (%)
0.8432
5.7%
0.8326
 
4.6%
0.822
 
0.4%
0.767
 
1.2%
0.7576
13.5%

QUA_MeltPressure2Max
Real number (ℝ≥0)

MISSING

Distinct33
Distinct (%)8.1%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean110.375
Minimum88
Maximum122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:39.009145image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum88
5-th percentile91
Q1103.75
median115
Q3117
95-th percentile120
Maximum122
Range34
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation9.691003072
Coefficient of variation (CV)0.08780070733
Kurtosis-0.5234040303
Mean110.375
Median Absolute Deviation (MAD)4
Skewness-0.9694002332
Sum45033
Variance93.91554054
MonotonicityNot monotonic
2022-10-25T10:09:39.100074image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
11746
 
8.2%
11542
 
7.4%
11834
 
6.0%
11631
 
5.5%
11930
 
5.3%
11428
 
5.0%
12020
 
3.5%
11018
 
3.2%
9114
 
2.5%
9711
 
2.0%
Other values (23)134
23.8%
(Missing)156
27.7%
ValueCountFrequency (%)
881
 
0.2%
894
 
0.7%
909
1.6%
9114
2.5%
9210
1.8%
ValueCountFrequency (%)
1223
 
0.5%
12110
 
1.8%
12020
3.5%
11930
5.3%
11834
6.0%

QUA_HoldingPressureMax
Real number (ℝ≥0)

MISSING

Distinct166
Distinct (%)40.7%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean331.1887255
Minimum162
Maximum620
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:39.201455image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum162
5-th percentile176.35
Q1224
median304.5
Q3416
95-th percentile602.3
Maximum620
Range458
Interquartile range (IQR)192

Descriptive statistics

Standard deviation124.4649331
Coefficient of variation (CV)0.375812712
Kurtosis-0.3988318935
Mean331.1887255
Median Absolute Deviation (MAD)98.5
Skewness0.6939578974
Sum135125
Variance15491.51958
MonotonicityNot monotonic
2022-10-25T10:09:39.312132image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19922
 
3.9%
20014
 
2.5%
35513
 
2.3%
35411
 
2.0%
20410
 
1.8%
2768
 
1.4%
2247
 
1.2%
2067
 
1.2%
3806
 
1.1%
4225
 
0.9%
Other values (156)305
54.1%
(Missing)156
27.7%
ValueCountFrequency (%)
1621
 
0.2%
1634
0.7%
1641
 
0.2%
1651
 
0.2%
1661
 
0.2%
ValueCountFrequency (%)
6201
 
0.2%
6183
0.5%
6173
0.5%
6162
0.4%
6151
 
0.2%

QUA_TransferSpecificPressure1
Real number (ℝ≥0)

Distinct73
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.7925532
Minimum43
Maximum267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:39.415875image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile47
Q160.75
median79.5
Q3128
95-th percentile225
Maximum267
Range224
Interquartile range (IQR)67.25

Descriptive statistics

Standard deviation59.34229108
Coefficient of variation (CV)0.5773014605
Kurtosis0.8129307451
Mean102.7925532
Median Absolute Deviation (MAD)24.5
Skewness1.317938311
Sum57975
Variance3521.507511
MonotonicityNot monotonic
2022-10-25T10:09:39.522000image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5022
 
3.9%
6922
 
3.9%
6520
 
3.5%
7020
 
3.5%
14718
 
3.2%
26616
 
2.8%
6115
 
2.7%
8015
 
2.7%
6014
 
2.5%
8414
 
2.5%
Other values (63)388
68.8%
ValueCountFrequency (%)
433
 
0.5%
447
1.2%
4510
1.8%
466
1.1%
4710
1.8%
ValueCountFrequency (%)
2675
 
0.9%
26616
2.8%
2653
 
0.5%
22510
1.8%
22410
1.8%

QUA_CavityPressure1Max
Real number (ℝ≥0)

Distinct105
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.1897163
Minimum55
Maximum267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:39.629625image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile65
Q1106
median140
Q3224
95-th percentile252
Maximum267
Range212
Interquartile range (IQR)118

Descriptive statistics

Standard deviation64.19960409
Coefficient of variation (CV)0.413684654
Kurtosis-1.261606365
Mean155.1897163
Median Absolute Deviation (MAD)58
Skewness0.227025331
Sum87527
Variance4121.589166
MonotonicityNot monotonic
2022-10-25T10:09:39.732820image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7723
 
4.1%
26718
 
3.2%
13713
 
2.3%
24012
 
2.1%
25012
 
2.1%
24612
 
2.1%
22512
 
2.1%
21111
 
2.0%
14011
 
2.0%
12811
 
2.0%
Other values (95)429
76.1%
ValueCountFrequency (%)
559
1.6%
563
 
0.5%
601
 
0.2%
614
0.7%
626
1.1%
ValueCountFrequency (%)
26718
3.2%
2665
 
0.9%
2651
 
0.2%
2534
 
0.7%
2528
1.4%

QUA_InjectionSpeed1
Real number (ℝ≥0)

MISSING

Distinct50
Distinct (%)12.3%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean49.98455882
Minimum8.5
Maximum99.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:39.826293image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum8.5
5-th percentile8.5
Q115.1
median54
Q380.3
95-th percentile98.9
Maximum99.4
Range90.9
Interquartile range (IQR)65.2

Descriptive statistics

Standard deviation37.37733526
Coefficient of variation (CV)0.7477776365
Kurtosis-1.820756577
Mean49.98455882
Median Absolute Deviation (MAD)38.9
Skewness0.05136440122
Sum20393.7
Variance1397.065191
MonotonicityNot monotonic
2022-10-25T10:09:39.949143image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.648
 
8.5%
15.148
 
8.5%
8.548
 
8.5%
15.424
 
4.3%
15.224
 
4.3%
5011
 
2.0%
7911
 
2.0%
77.610
 
1.8%
5810
 
1.8%
78.99
 
1.6%
Other values (40)165
29.3%
(Missing)156
27.7%
ValueCountFrequency (%)
8.548
8.5%
8.648
8.5%
15.148
8.5%
15.224
4.3%
15.424
4.3%
ValueCountFrequency (%)
99.47
1.2%
99.35
0.9%
99.11
 
0.2%
993
 
0.5%
98.98
1.4%

QUA_InjectionSpeed2
Real number (ℝ≥0)

Distinct10
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.93617021
Minimum15
Maximum104.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:40.029418image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile15
Q120
median58
Q3100
95-th percentile104.5
Maximum104.5
Range89.5
Interquartile range (IQR)80

Descriptive statistics

Standard deviation33.85791286
Coefficient of variation (CV)0.5844002587
Kurtosis-1.569485266
Mean57.93617021
Median Absolute Deviation (MAD)38
Skewness-0.01164062847
Sum32676
Variance1146.358263
MonotonicityNot monotonic
2022-10-25T10:09:40.107975image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
100108
19.1%
1596
17.0%
2096
17.0%
8096
17.0%
5860
10.6%
104.536
 
6.4%
4024
 
4.3%
47.524
 
4.3%
5012
 
2.1%
74.512
 
2.1%
ValueCountFrequency (%)
1596
17.0%
2096
17.0%
4024
 
4.3%
47.524
 
4.3%
5012
 
2.1%
ValueCountFrequency (%)
104.536
 
6.4%
100108
19.1%
8096
17.0%
74.512
 
2.1%
5860
10.6%

QUA_PlastificationSpeed
Real number (ℝ≥0)

MISSING

Distinct18
Distinct (%)4.4%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean326.5791667
Minimum300.5
Maximum352.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:40.187436image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum300.5
5-th percentile301.4
Q1301.9
median326.3
Q3351.2
95-th percentile351.8
Maximum352.1
Range51.6
Interquartile range (IQR)49.3

Descriptive statistics

Standard deviation24.72821866
Coefficient of variation (CV)0.07571891042
Kurtosis-2.008713283
Mean326.5791667
Median Absolute Deviation (MAD)24.6
Skewness-5.95799695 × 10-5
Sum133244.3
Variance611.4847983
MonotonicityNot monotonic
2022-10-25T10:09:40.279378image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
351.266
11.7%
302.150
 
8.9%
302.445
 
8.0%
351.838
 
6.7%
301.935
 
6.2%
301.732
 
5.7%
350.929
 
5.1%
351.427
 
4.8%
301.426
 
4.6%
351.622
 
3.9%
Other values (8)38
 
6.7%
(Missing)156
27.7%
ValueCountFrequency (%)
300.52
 
0.4%
300.85
 
0.9%
3018
 
1.4%
301.21
 
0.2%
301.426
4.6%
ValueCountFrequency (%)
352.12
 
0.4%
351.838
6.7%
351.622
 
3.9%
351.427
4.8%
351.266
11.7%

QUA_AreaCavityPressure1Max
Real number (ℝ≥0)

Distinct99
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.7216312
Minimum55
Maximum266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:40.377497image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile65
Q1106
median140
Q3224
95-th percentile252
Maximum266
Range211
Interquartile range (IQR)118

Descriptive statistics

Standard deviation64.24637989
Coefficient of variation (CV)0.4152385118
Kurtosis-1.268186511
Mean154.7216312
Median Absolute Deviation (MAD)58
Skewness0.2304192935
Sum87263
Variance4127.597329
MonotonicityNot monotonic
2022-10-25T10:09:40.486301image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7725
 
4.4%
26516
 
2.8%
13713
 
2.3%
25012
 
2.1%
24612
 
2.1%
24012
 
2.1%
22512
 
2.1%
23511
 
2.0%
12811
 
2.0%
21111
 
2.0%
Other values (89)429
76.1%
ValueCountFrequency (%)
5511
2.0%
561
 
0.2%
601
 
0.2%
619
1.6%
622
 
0.4%
ValueCountFrequency (%)
2666
 
1.1%
26516
2.8%
2642
 
0.4%
2534
 
0.7%
2528
1.4%

QUA_AreaCavityPressure1Dr1
Real number (ℝ≥0)

Distinct433
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2088.138298
Minimum156
Maximum6220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:40.591890image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum156
5-th percentile183
Q1919.75
median1369
Q33218.25
95-th percentile6125.85
Maximum6220
Range6064
Interquartile range (IQR)2298.5

Descriptive statistics

Standard deviation1650.895135
Coefficient of variation (CV)0.7906062243
Kurtosis0.1003038423
Mean2088.138298
Median Absolute Deviation (MAD)901.5
Skewness0.9802578008
Sum1177710
Variance2725454.748
MonotonicityNot monotonic
2022-10-25T10:09:40.705091image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1835
 
0.9%
11465
 
0.9%
11745
 
0.9%
1684
 
0.7%
62084
 
0.7%
1864
 
0.7%
26274
 
0.7%
11923
 
0.5%
11753
 
0.5%
1923
 
0.5%
Other values (423)524
92.9%
ValueCountFrequency (%)
1561
0.2%
1641
0.2%
1652
0.4%
1661
0.2%
1671
0.2%
ValueCountFrequency (%)
62201
 
0.2%
62084
0.7%
62032
0.4%
61991
 
0.2%
61961
 
0.2%

QUA_AreaMeltPressureMax
Real number (ℝ≥0)

Distinct146
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean369.6932624
Minimum189
Maximum631
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:40.813168image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum189
5-th percentile207.15
Q1276.75
median310
Q3432.25
95-th percentile602
Maximum631
Range442
Interquartile range (IQR)155.5

Descriptive statistics

Standard deviation125.3577611
Coefficient of variation (CV)0.3390858689
Kurtosis-0.7024443988
Mean369.6932624
Median Absolute Deviation (MAD)86
Skewness0.6595836445
Sum208507
Variance15714.56827
MonotonicityNot monotonic
2022-10-25T10:09:40.918954image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30625
 
4.4%
41118
 
3.2%
28115
 
2.7%
40813
 
2.3%
19912
 
2.1%
25212
 
2.1%
30511
 
2.0%
20911
 
2.0%
27311
 
2.0%
2759
 
1.6%
Other values (136)427
75.7%
ValueCountFrequency (%)
1891
 
0.2%
1904
 
0.7%
1915
0.9%
1922
 
0.4%
19912
2.1%
ValueCountFrequency (%)
6311
 
0.2%
6303
0.5%
6291
 
0.2%
6287
1.2%
6274
0.7%

QUA_AreaMeltPressure
Real number (ℝ≥0)

Distinct428
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5912.234043
Minimum2065
Maximum12146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:41.014226image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum2065
5-th percentile2123
Q13141.75
median5102
Q38163
95-th percentile11544.85
Maximum12146
Range10081
Interquartile range (IQR)5021.25

Descriptive statistics

Standard deviation3005.593865
Coefficient of variation (CV)0.508368553
Kurtosis-0.8945752045
Mean5912.234043
Median Absolute Deviation (MAD)2069.5
Skewness0.5641487008
Sum3334500
Variance9033594.482
MonotonicityNot monotonic
2022-10-25T10:09:41.144830image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32025
 
0.9%
75284
 
0.7%
87264
 
0.7%
61994
 
0.7%
119733
 
0.5%
27963
 
0.5%
51053
 
0.5%
102723
 
0.5%
103263
 
0.5%
20903
 
0.5%
Other values (418)529
93.8%
ValueCountFrequency (%)
20651
 
0.2%
20711
 
0.2%
20861
 
0.2%
20882
0.4%
20903
0.5%
ValueCountFrequency (%)
121461
0.2%
121451
0.2%
121421
0.2%
121392
0.4%
121361
0.2%

QUA_AreaPowerMax
Real number (ℝ≥0)

Distinct179
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2337.484711
Minimum0.203
Maximum4295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:41.248313image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.203
5-th percentile0.216
Q12.71975
median3436
Q34131.6
95-th percentile4282
Maximum4295
Range4294.797
Interquartile range (IQR)4128.88025

Descriptive statistics

Standard deviation1901.588562
Coefficient of variation (CV)0.8135191444
Kurtosis-1.780178054
Mean2337.484711
Median Absolute Deviation (MAD)824.5
Skewness-0.3528701089
Sum1318341.377
Variance3616039.06
MonotonicityNot monotonic
2022-10-25T10:09:41.342195image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343697
 
17.2%
3865.546
 
8.2%
429528
 
5.0%
3006.515
 
2.7%
0.2159
 
1.6%
0.2168
 
1.4%
4277.77
 
1.2%
0.2047
 
1.2%
1288.57
 
1.2%
4247.76
 
1.1%
Other values (169)334
59.2%
ValueCountFrequency (%)
0.2031
 
0.2%
0.2047
1.2%
0.2055
0.9%
0.2062
 
0.4%
0.2071
 
0.2%
ValueCountFrequency (%)
429528
5.0%
42824
 
0.7%
4281.93
 
0.5%
4277.77
 
1.2%
4269.24
 
0.7%

QUA_AreaPower
Real number (ℝ≥0)

Distinct179
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.50141844
Minimum0.2
Maximum188.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:41.451604image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.2
Q10.8
median6.4
Q318.8
95-th percentile145.95
Maximum188.4
Range188.2
Interquartile range (IQR)18

Descriptive statistics

Standard deviation40.25249656
Coefficient of variation (CV)1.963400566
Kurtosis7.100483085
Mean20.50141844
Median Absolute Deviation (MAD)5.6
Skewness2.838329917
Sum11562.8
Variance1620.263479
MonotonicityNot monotonic
2022-10-25T10:09:41.545521image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.872
 
12.8%
0.244
 
7.8%
0.736
 
6.4%
0.636
 
6.4%
1.224
 
4.3%
6.422
 
3.9%
11.120
 
3.5%
9.220
 
3.5%
9.911
 
2.0%
4.710
 
1.8%
Other values (169)269
47.7%
ValueCountFrequency (%)
0.244
7.8%
0.636
6.4%
0.736
6.4%
0.872
12.8%
0.96
 
1.1%
ValueCountFrequency (%)
188.41
0.2%
184.21
0.2%
177.71
0.2%
176.81
0.2%
175.91
0.2%

QUA_AreaInjectionStroke
Real number (ℝ≥0)

Distinct205
Distinct (%)36.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean347.1611702
Minimum189.2
Maximum588.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:41.663587image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum189.2
5-th percentile200.4
Q1221.2
median262.25
Q3524.6
95-th percentile588.5
Maximum588.5
Range399.3
Interquartile range (IQR)303.4

Descriptive statistics

Standard deviation154.9646847
Coefficient of variation (CV)0.4463767782
Kurtosis-1.449310367
Mean347.1611702
Median Absolute Deviation (MAD)58.4
Skewness0.6023546856
Sum195798.9
Variance24014.0535
MonotonicityNot monotonic
2022-10-25T10:09:41.775267image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
588.593
 
16.5%
524.649
 
8.7%
524.547
 
8.3%
203.57
 
1.2%
290.17
 
1.2%
338.65
 
0.9%
205.85
 
0.9%
217.85
 
0.9%
221.25
 
0.9%
203.35
 
0.9%
Other values (195)336
59.6%
ValueCountFrequency (%)
189.21
0.2%
1901
0.2%
190.31
0.2%
190.41
0.2%
190.62
0.4%
ValueCountFrequency (%)
588.593
16.5%
588.43
 
0.5%
524.649
8.7%
524.547
8.3%
338.74
 
0.7%

QUA_AreaInjectionSpeedMax
Real number (ℝ≥0)

Distinct10
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.24468085
Minimum15.6
Maximum108.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:41.868287image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum15.6
5-th percentile15.6
Q120.8
median60.3
Q3104
95-th percentile108.6
Maximum108.6
Range93
Interquartile range (IQR)83.2

Descriptive statistics

Standard deviation35.20436237
Coefficient of variation (CV)0.5843563593
Kurtosis-1.569752283
Mean60.24468085
Median Absolute Deviation (MAD)39.5
Skewness-0.01174539585
Sum33978
Variance1239.34713
MonotonicityNot monotonic
2022-10-25T10:09:41.947080image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
104108
19.1%
15.696
17.0%
20.896
17.0%
83.296
17.0%
60.360
10.6%
108.636
 
6.4%
41.624
 
4.3%
49.424
 
4.3%
5212
 
2.1%
77.412
 
2.1%
ValueCountFrequency (%)
15.696
17.0%
20.896
17.0%
41.624
 
4.3%
49.424
 
4.3%
5212
 
2.1%
ValueCountFrequency (%)
108.636
 
6.4%
104108
19.1%
83.296
17.0%
77.412
 
2.1%
60.360
10.6%

QUA_AreaInjectionSpeed
Real number (ℝ≥0)

Distinct86
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.8528369
Minimum77.1
Maximum140.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:42.039925image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum77.1
5-th percentile77.1
Q1102.9
median133.3
Q3136.225
95-th percentile138.9
Maximum140.2
Range63.1
Interquartile range (IQR)33.325

Descriptive statistics

Standard deviation22.85280824
Coefficient of variation (CV)0.1906739034
Kurtosis-0.6906035598
Mean119.8528369
Median Absolute Deviation (MAD)3.95
Skewness-0.9690838769
Sum67597
Variance522.2508445
MonotonicityNot monotonic
2022-10-25T10:09:42.155238image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.196
 
17.0%
102.996
 
17.0%
136.714
 
2.5%
135.712
 
2.1%
136.211
 
2.0%
136.811
 
2.0%
133.110
 
1.8%
136.310
 
1.8%
135.99
 
1.6%
1339
 
1.6%
Other values (76)286
50.7%
ValueCountFrequency (%)
77.196
17.0%
102.996
17.0%
1291
 
0.2%
129.21
 
0.2%
129.34
 
0.7%
ValueCountFrequency (%)
140.22
 
0.4%
140.11
 
0.2%
1403
 
0.5%
139.98
1.4%
139.84
0.7%

QUA_BackPressureMax
Real number (ℝ≥0)

Distinct68
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.1578014
Minimum114
Maximum320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:42.264967image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum114
5-th percentile116
Q1119
median162
Q3276
95-th percentile316
Maximum320
Range206
Interquartile range (IQR)157

Descriptive statistics

Standard deviation76.38714793
Coefficient of variation (CV)0.4170564799
Kurtosis-1.076846376
Mean183.1578014
Median Absolute Deviation (MAD)45
Skewness0.7522054234
Sum103301
Variance5834.996369
MonotonicityNot monotonic
2022-10-25T10:09:42.370036image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11661
 
10.8%
12049
 
8.7%
11940
 
7.1%
11734
 
6.0%
12133
 
5.9%
27917
 
3.0%
31214
 
2.5%
11513
 
2.3%
11812
 
2.1%
31511
 
2.0%
Other values (58)280
49.6%
ValueCountFrequency (%)
1142
 
0.4%
11513
 
2.3%
11661
10.8%
11734
6.0%
11812
 
2.1%
ValueCountFrequency (%)
3205
0.9%
3195
0.9%
31810
1.8%
3178
1.4%
3167
1.2%

TCE_ActualProcessPower
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCE_ActualPumpPower
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCE_ActualPumpSpeedRPM
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCE_ActualFlowRate
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

TCE_PressureMainLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCE_PressureReturnLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCE_ActualPumpSpeed
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCE_ActualTemperatureDifference
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCE_TemperatureMainLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCE_TemperatureReturnLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCE_SetTemperature
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCN_ActualProcessPower
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCN_ActualPumpPower
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCN_ActualPumpSpeedRPM
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCN_ActualFlowRate
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCN_PressureMainLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCN_PressureReturnLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCN_ActualPumpSpeed
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCN_ActualTemperatureDifference
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCN_TemperatureMainLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCN_TemperatureReturnLine
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCN_SetTemperature
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

TCE_ActualProcessPowerMean
Real number (ℝ≥0)

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4723404255
Minimum0.4
Maximum0.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:42.465980image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.4
Q10.4
median0.5
Q30.5
95-th percentile0.5
Maximum0.5
Range0.1
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.04477118932
Coefficient of variation (CV)0.09478585126
Kurtosis-1.000490583
Mean0.4723404255
Median Absolute Deviation (MAD)0
Skewness-1.001533762
Sum266.4
Variance0.002004459393
MonotonicityDecreasing
2022-10-25T10:09:42.529997image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0.5408
72.3%
0.4156
 
27.7%
ValueCountFrequency (%)
0.4156
 
27.7%
0.5408
72.3%
ValueCountFrequency (%)
0.5408
72.3%
0.4156
 
27.7%

TCE_ActualPumpPowerMean
Real number (ℝ≥0)

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4723404255
Minimum0.4
Maximum0.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:42.622573image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.4
Q10.4
median0.5
Q30.5
95-th percentile0.5
Maximum0.5
Range0.1
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.04477118932
Coefficient of variation (CV)0.09478585126
Kurtosis-1.000490583
Mean0.4723404255
Median Absolute Deviation (MAD)0
Skewness-1.001533762
Sum266.4
Variance0.002004459393
MonotonicityDecreasing
2022-10-25T10:09:42.703916image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0.5408
72.3%
0.4156
 
27.7%
ValueCountFrequency (%)
0.4156
 
27.7%
0.5408
72.3%
ValueCountFrequency (%)
0.5408
72.3%
0.4156
 
27.7%

TCE_ActualPumpSpeedRPMMean
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2134.042553
Minimum0
Maximum2950
Zeros156
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:42.773394image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2950
Q32950
95-th percentile2950
Maximum2950
Range2950
Interquartile range (IQR)2950

Descriptive statistics

Standard deviation1320.750085
Coefficient of variation (CV)0.6188958524
Kurtosis-1.000490583
Mean2134.042553
Median Absolute Deviation (MAD)0
Skewness-1.001533762
Sum1203600
Variance1744380.787
MonotonicityDecreasing
2022-10-25T10:09:42.843827image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2950408
72.3%
0156
 
27.7%
ValueCountFrequency (%)
0156
 
27.7%
2950408
72.3%
ValueCountFrequency (%)
2950408
72.3%
0156
 
27.7%

TCE_ActualFlowRateMean
Real number (ℝ≥0)

MISSING

Distinct3
Distinct (%)0.7%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean41.14411765
Minimum40.2
Maximum42.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:42.914423image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum40.2
5-th percentile40.2
Q140.2
median41.05
Q341.9
95-th percentile42.7
Maximum42.7
Range2.5
Interquartile range (IQR)1.7

Descriptive statistics

Standard deviation0.9753294439
Coefficient of variation (CV)0.02370519772
Kurtosis-1.660205609
Mean41.14411765
Median Absolute Deviation (MAD)0.85
Skewness0.2035495098
Sum16786.8
Variance0.9512675242
MonotonicityNot monotonic
2022-10-25T10:09:42.993434image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
40.2204
36.2%
41.9156
27.7%
42.748
 
8.5%
(Missing)156
27.7%
ValueCountFrequency (%)
40.2204
36.2%
41.9156
27.7%
42.748
 
8.5%
ValueCountFrequency (%)
42.748
 
8.5%
41.9156
27.7%
40.2204
36.2%

TCE_PressureMainLineMean
Real number (ℝ≥0)

Distinct23
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.772429078
Minimum1.68
Maximum1.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:43.060556image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.68
5-th percentile1.7
Q11.74
median1.79
Q31.8
95-th percentile1.83
Maximum1.91
Range0.23
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.04590847647
Coefficient of variation (CV)0.02590144623
Kurtosis-0.4037202132
Mean1.772429078
Median Absolute Deviation (MAD)0.02
Skewness-0.2740928815
Sum999.65
Variance0.002107588212
MonotonicityNot monotonic
2022-10-25T10:09:43.171140image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1.8119
21.1%
1.7101
17.9%
1.7976
13.5%
1.7861
10.8%
1.8143
 
7.6%
1.7736
 
6.4%
1.7619
 
3.4%
1.8214
 
2.5%
1.7113
 
2.3%
1.7412
 
2.1%
Other values (13)70
12.4%
ValueCountFrequency (%)
1.681
 
0.2%
1.697
 
1.2%
1.7101
17.9%
1.7113
 
2.3%
1.7211
 
2.0%
ValueCountFrequency (%)
1.911
 
0.2%
1.893
0.5%
1.887
1.2%
1.873
0.5%
1.864
0.7%

TCE_PressureReturnLineMean
Real number (ℝ≥0)

Distinct26
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.820248227
Minimum1.7
Maximum1.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:43.254873image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.7
5-th percentile1.71
Q11.79
median1.81
Q31.87
95-th percentile1.9
Maximum1.95
Range0.25
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.05491742951
Coefficient of variation (CV)0.03017029694
Kurtosis-0.4212142367
Mean1.820248227
Median Absolute Deviation (MAD)0.04
Skewness-0.2623243644
Sum1026.62
Variance0.003015924064
MonotonicityNot monotonic
2022-10-25T10:09:43.358041image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1.8130
23.0%
1.8962
11.0%
1.7952
 
9.2%
1.8833
 
5.9%
1.8132
 
5.7%
1.8732
 
5.7%
1.8630
 
5.3%
1.8226
 
4.6%
1.722
 
3.9%
1.7719
 
3.4%
Other values (16)126
22.3%
ValueCountFrequency (%)
1.722
3.9%
1.7115
2.7%
1.729
1.6%
1.737
 
1.2%
1.742
 
0.4%
ValueCountFrequency (%)
1.951
 
0.2%
1.941
 
0.2%
1.931
 
0.2%
1.927
1.2%
1.914
0.7%

TCE_ActualPumpSpeedMean
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.34042553
Minimum0
Maximum100
Zeros156
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:43.448410image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median100
Q3100
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)100

Descriptive statistics

Standard deviation44.77118932
Coefficient of variation (CV)0.6188958524
Kurtosis-1.000490583
Mean72.34042553
Median Absolute Deviation (MAD)0
Skewness-1.001533762
Sum40800
Variance2004.459393
MonotonicityDecreasing
2022-10-25T10:09:43.527059image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
100408
72.3%
0156
 
27.7%
ValueCountFrequency (%)
0156
 
27.7%
100408
72.3%
ValueCountFrequency (%)
100408
72.3%
0156
 
27.7%

TCE_ActualTemperatureDifferenceMean
Real number (ℝ)

ZEROS

Distinct59
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1795921986
Minimum-0.71
Maximum2.12
Zeros64
Zeros (%)11.3%
Negative461
Negative (%)81.7%
Memory size4.5 KiB
2022-10-25T10:09:43.607880image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.71
5-th percentile-0.6
Q1-0.3
median-0.18
Q3-0.06
95-th percentile0.06
Maximum2.12
Range2.83
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.208070755
Coefficient of variation (CV)-1.158573461
Kurtosis26.65233814
Mean-0.1795921986
Median Absolute Deviation (MAD)0.12
Skewness2.070135888
Sum-101.29
Variance0.04329343909
MonotonicityNot monotonic
2022-10-25T10:09:43.724657image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.2119
21.1%
-0.187
15.4%
064
11.3%
-0.346
 
8.2%
-0.530
 
5.3%
-0.628
 
5.0%
-0.422
 
3.9%
-0.0413
 
2.3%
-0.1411
 
2.0%
-0.038
 
1.4%
Other values (49)136
24.1%
ValueCountFrequency (%)
-0.711
 
0.2%
-0.72
 
0.4%
-0.621
 
0.2%
-0.628
5.0%
-0.591
 
0.2%
ValueCountFrequency (%)
2.121
0.2%
0.851
0.2%
0.172
0.4%
0.161
0.2%
0.152
0.4%

TCE_TemperatureMainLineMean
Real number (ℝ≥0)

Distinct139
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.90248227
Minimum19.9
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:43.842131image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum19.9
5-th percentile20.1
Q120.5
median40.2
Q355.2
95-th percentile80.7
Maximum81
Range61.1
Interquartile range (IQR)34.7

Descriptive statistics

Standard deviation21.40387077
Coefficient of variation (CV)0.4988958596
Kurtosis-0.9173548811
Mean42.90248227
Median Absolute Deviation (MAD)19.7
Skewness0.5972158989
Sum24197
Variance458.1256841
MonotonicityNot monotonic
2022-10-25T10:09:43.959105image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.449
 
8.7%
80.638
 
6.7%
20.131
 
5.5%
20.330
 
5.3%
80.728
 
5.0%
50.226
 
4.6%
30.219
 
3.4%
80.516
 
2.8%
20.514
 
2.5%
50.514
 
2.5%
Other values (129)299
53.0%
ValueCountFrequency (%)
19.95
0.9%
19.911
 
0.2%
207
1.2%
20.031
 
0.2%
20.051
 
0.2%
ValueCountFrequency (%)
818
 
1.4%
80.971
 
0.2%
80.92
 
0.4%
80.711
 
0.2%
80.728
5.0%

TCE_TemperatureReturnLineMean
Real number (ℝ≥0)

Distinct116
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.72303191
Minimum19.9
Maximum80.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:44.068500image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum19.9
5-th percentile20
Q120.4
median40.14
Q355.1
95-th percentile80.2
Maximum80.4
Range60.5
Interquartile range (IQR)34.7

Descriptive statistics

Standard deviation21.29336097
Coefficient of variation (CV)0.498404725
Kurtosis-0.9334383287
Mean42.72303191
Median Absolute Deviation (MAD)19.74
Skewness0.5855794942
Sum24095.79
Variance453.4072215
MonotonicityNot monotonic
2022-10-25T10:09:44.201889image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.249
 
8.7%
2039
 
6.9%
80.239
 
6.9%
8032
 
5.7%
20.128
 
5.0%
50.126
 
4.6%
5023
 
4.1%
29.822
 
3.9%
20.420
 
3.5%
3018
 
3.2%
Other values (106)268
47.5%
ValueCountFrequency (%)
19.96
 
1.1%
19.911
 
0.2%
2039
6.9%
20.014
 
0.7%
20.062
 
0.4%
ValueCountFrequency (%)
80.45
0.9%
80.382
 
0.4%
80.312
2.1%
80.291
 
0.2%
80.271
 
0.2%

TCE_SetTemperatureMean
Real number (ℝ≥0)

Distinct11
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.25539007
Minimum20
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:44.296873image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q120
median50
Q380
95-th percentile80
Maximum80
Range60
Interquartile range (IQR)60

Descriptive statistics

Standard deviation22.91333739
Coefficient of variation (CV)0.4848830441
Kurtosis-1.344104312
Mean47.25539007
Median Absolute Deviation (MAD)30
Skewness0.2538509403
Sum26652.04
Variance525.0210302
MonotonicityNot monotonic
2022-10-25T10:09:44.373218image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20155
27.5%
80144
25.5%
50107
19.0%
4048
 
8.5%
3047
 
8.3%
6036
 
6.4%
3512
 
2.1%
5512
 
2.1%
31.581
 
0.2%
41.841
 
0.2%
ValueCountFrequency (%)
20155
27.5%
3047
 
8.3%
31.581
 
0.2%
3512
 
2.1%
38.621
 
0.2%
ValueCountFrequency (%)
80144
25.5%
6036
 
6.4%
5512
 
2.1%
50107
19.0%
41.841
 
0.2%

TCN_ActualProcessPowerMean
Real number (ℝ≥0)

Distinct9
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5784929078
Minimum0.28
Maximum0.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:44.467142image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.28
5-th percentile0.28
Q10.28
median0.7
Q30.7
95-th percentile0.7
Maximum0.7
Range0.42
Interquartile range (IQR)0.42

Descriptive statistics

Standard deviation0.1859697782
Coefficient of variation (CV)0.3214728749
Kurtosis-1.03484792
Mean0.5784929078
Median Absolute Deviation (MAD)0
Skewness-0.9631687024
Sum326.27
Variance0.03458475839
MonotonicityNot monotonic
2022-10-25T10:09:44.547151image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.7370
65.6%
0.28156
27.7%
0.623
 
4.1%
0.615
 
0.9%
0.693
 
0.5%
0.683
 
0.5%
0.662
 
0.4%
0.671
 
0.2%
0.641
 
0.2%
ValueCountFrequency (%)
0.28156
27.7%
0.623
 
4.1%
0.615
 
0.9%
0.641
 
0.2%
0.662
 
0.4%
ValueCountFrequency (%)
0.7370
65.6%
0.693
 
0.5%
0.683
 
0.5%
0.671
 
0.2%
0.662
 
0.4%

TCN_ActualPumpPowerMean
Real number (ℝ≥0)

Distinct9
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5784929078
Minimum0.28
Maximum0.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:44.624259image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.28
5-th percentile0.28
Q10.28
median0.7
Q30.7
95-th percentile0.7
Maximum0.7
Range0.42
Interquartile range (IQR)0.42

Descriptive statistics

Standard deviation0.1859697782
Coefficient of variation (CV)0.3214728749
Kurtosis-1.03484792
Mean0.5784929078
Median Absolute Deviation (MAD)0
Skewness-0.9631687024
Sum326.27
Variance0.03458475839
MonotonicityNot monotonic
2022-10-25T10:09:44.701155image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.7370
65.6%
0.28156
27.7%
0.623
 
4.1%
0.615
 
0.9%
0.693
 
0.5%
0.683
 
0.5%
0.662
 
0.4%
0.671
 
0.2%
0.641
 
0.2%
ValueCountFrequency (%)
0.28156
27.7%
0.623
 
4.1%
0.615
 
0.9%
0.641
 
0.2%
0.662
 
0.4%
ValueCountFrequency (%)
0.7370
65.6%
0.693
 
0.5%
0.683
 
0.5%
0.671
 
0.2%
0.662
 
0.4%

TCN_ActualPumpSpeedRPMMean
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2134.042553
Minimum0
Maximum2950
Zeros156
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:44.784207image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2950
Q32950
95-th percentile2950
Maximum2950
Range2950
Interquartile range (IQR)2950

Descriptive statistics

Standard deviation1320.750085
Coefficient of variation (CV)0.6188958524
Kurtosis-1.000490583
Mean2134.042553
Median Absolute Deviation (MAD)0
Skewness-1.001533762
Sum1203600
Variance1744380.787
MonotonicityDecreasing
2022-10-25T10:09:44.841986image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2950408
72.3%
0156
 
27.7%
ValueCountFrequency (%)
0156
 
27.7%
2950408
72.3%
ValueCountFrequency (%)
2950408
72.3%
0156
 
27.7%

TCN_ActualFlowRateMean
Real number (ℝ≥0)

Distinct26
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.04090426
Minimum29.9
Maximum37.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:44.935480image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum29.9
5-th percentile33.8405
Q135.9
median36.47
Q336.8
95-th percentile36.8
Maximum37.6
Range7.7
Interquartile range (IQR)0.9

Descriptive statistics

Standard deviation1.187907573
Coefficient of variation (CV)0.0329599825
Kurtosis10.02255842
Mean36.04090426
Median Absolute Deviation (MAD)0.47
Skewness-2.845111874
Sum20327.07
Variance1.411124403
MonotonicityNot monotonic
2022-10-25T10:09:45.029579image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
36.47156
27.7%
36.8120
21.3%
35.998
17.4%
3696
17.0%
37.624
 
4.3%
34.219
 
3.4%
35.116
 
2.8%
32.57
 
1.2%
29.96
 
1.1%
31.64
 
0.7%
Other values (16)18
 
3.2%
ValueCountFrequency (%)
29.96
1.1%
30.181
 
0.2%
30.981
 
0.2%
31.64
0.7%
31.761
 
0.2%
ValueCountFrequency (%)
37.624
 
4.3%
36.8120
21.3%
36.47156
27.7%
3696
17.0%
35.998
17.4%

TCN_PressureMainLineMean
Real number (ℝ≥0)

Distinct74
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.77462766
Minimum1.85
Maximum3.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:45.153598image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.85
5-th percentile2.289
Q12.64
median2.8
Q33
95-th percentile3
Maximum3.1
Range1.25
Interquartile range (IQR)0.36

Descriptive statistics

Standard deviation0.2382053304
Coefficient of variation (CV)0.08585127793
Kurtosis1.660836791
Mean2.77462766
Median Absolute Deviation (MAD)0.2
Skewness-1.118862716
Sum1564.89
Variance0.05674177941
MonotonicityNot monotonic
2022-10-25T10:09:45.263752image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3155
27.5%
2.782
14.5%
2.861
 
10.8%
2.5536
 
6.4%
3.120
 
3.5%
2.919
 
3.4%
2.9518
 
3.2%
2.6516
 
2.8%
2.514
 
2.5%
2.614
 
2.5%
Other values (64)129
22.9%
ValueCountFrequency (%)
1.851
0.2%
1.861
0.2%
1.882
0.4%
1.911
0.2%
1.921
0.2%
ValueCountFrequency (%)
3.120
3.5%
3.091
 
0.2%
3.061
 
0.2%
3.032
 
0.4%
3.021
 
0.2%

TCN_PressureReturnLineMean
Real number (ℝ≥0)

Distinct69
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.821985816
Minimum1.88
Maximum3.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:45.381692image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1.88
5-th percentile2.329
Q12.65
median2.8
Q33
95-th percentile3.1
Maximum3.35
Range1.47
Interquartile range (IQR)0.35

Descriptive statistics

Standard deviation0.2351839758
Coefficient of variation (CV)0.08333988586
Kurtosis1.855720108
Mean2.821985816
Median Absolute Deviation (MAD)0.17
Skewness-1.126636179
Sum1591.6
Variance0.05531150246
MonotonicityNot monotonic
2022-10-25T10:09:45.501660image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.8128
22.7%
368
12.1%
3.167
11.9%
2.6561
10.8%
3.0538
 
6.7%
2.721
 
3.7%
2.920
 
3.5%
2.613
 
2.3%
2.5512
 
2.1%
2.6312
 
2.1%
Other values (59)124
22.0%
ValueCountFrequency (%)
1.881
0.2%
1.911
0.2%
1.941
0.2%
1.951
0.2%
1.961
0.2%
ValueCountFrequency (%)
3.351
 
0.2%
3.167
11.9%
3.096
 
1.1%
3.084
 
0.7%
3.072
 
0.4%

TCN_ActualPumpSpeedMean
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.34042553
Minimum0
Maximum100
Zeros156
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:45.592944image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median100
Q3100
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)100

Descriptive statistics

Standard deviation44.77118932
Coefficient of variation (CV)0.6188958524
Kurtosis-1.000490583
Mean72.34042553
Median Absolute Deviation (MAD)0
Skewness-1.001533762
Sum40800
Variance2004.459393
MonotonicityDecreasing
2022-10-25T10:09:45.655215image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
100408
72.3%
0156
 
27.7%
ValueCountFrequency (%)
0156
 
27.7%
100408
72.3%
ValueCountFrequency (%)
100408
72.3%
0156
 
27.7%

TCN_ActualTemperatureDifferenceMean
Real number (ℝ)

ZEROS

Distinct95
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4181028369
Minimum-0.4
Maximum2.84
Zeros28
Zeros (%)5.0%
Negative92
Negative (%)16.3%
Memory size4.5 KiB
2022-10-25T10:09:45.748925image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-0.4
5-th percentile-0.2
Q10.15
median0.5
Q30.75
95-th percentile0.89
Maximum2.84
Range3.24
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.3888427747
Coefficient of variation (CV)0.9300170685
Kurtosis1.39605647
Mean0.4181028369
Median Absolute Deviation (MAD)0.3
Skewness0.02046642052
Sum235.81
Variance0.1511987034
MonotonicityNot monotonic
2022-10-25T10:09:45.873260image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.241
 
7.3%
0.729
 
5.1%
028
 
5.0%
0.228
 
5.0%
-0.321
 
3.7%
0.321
 
3.7%
0.819
 
3.4%
-0.118
 
3.2%
0.516
 
2.8%
0.415
 
2.7%
Other values (85)328
58.2%
ValueCountFrequency (%)
-0.42
 
0.4%
-0.361
 
0.2%
-0.321
 
0.2%
-0.321
3.7%
-0.241
 
0.2%
ValueCountFrequency (%)
2.841
0.2%
1.091
0.2%
1.041
0.2%
0.991
0.2%
0.972
0.4%

TCN_TemperatureMainLineMean
Real number (ℝ≥0)

Distinct242
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.59776596
Minimum19.3
Maximum80.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:45.986953image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum19.3
5-th percentile19.4
Q120.795
median39.93
Q354.6375
95-th percentile80.651
Maximum80.8
Range61.5
Interquartile range (IQR)33.8425

Descriptive statistics

Standard deviation21.48663734
Coefficient of variation (CV)0.5044076106
Kurtosis-0.9286971368
Mean42.59776596
Median Absolute Deviation (MAD)19.08
Skewness0.5980143598
Sum24025.14
Variance461.6755843
MonotonicityNot monotonic
2022-10-25T10:09:46.091967image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.336
 
6.4%
19.320
 
3.5%
80.716
 
2.8%
49.814
 
2.5%
50.414
 
2.5%
50.113
 
2.3%
80.413
 
2.3%
60.8512
 
2.1%
60.412
 
2.1%
60.3512
 
2.1%
Other values (232)402
71.3%
ValueCountFrequency (%)
19.320
3.5%
19.311
 
0.2%
19.332
 
0.4%
19.342
 
0.4%
19.411
2.0%
ValueCountFrequency (%)
80.812
2.1%
80.716
2.8%
80.661
 
0.2%
80.61
 
0.2%
80.53
 
0.5%

TCN_TemperatureReturnLineMean
Real number (ℝ≥0)

Distinct166
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.02078014
Minimum20
Maximum80.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:46.221930image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20.1
Q121.25
median40.75
Q355.0125
95-th percentile80.397
Maximum80.5
Range60.5
Interquartile range (IQR)33.7625

Descriptive statistics

Standard deviation21.15512755
Coefficient of variation (CV)0.4917420717
Kurtosis-0.9296678476
Mean43.02078014
Median Absolute Deviation (MAD)19.4
Skewness0.5920928342
Sum24263.72
Variance447.5394218
MonotonicityNot monotonic
2022-10-25T10:09:46.342252image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.147
 
8.3%
29.930
 
5.3%
20.924
 
4.3%
2023
 
4.1%
80.521
 
3.7%
20.317
 
3.0%
80.315
 
2.7%
50.514
 
2.5%
5014
 
2.5%
30.113
 
2.3%
Other values (156)346
61.3%
ValueCountFrequency (%)
2023
4.1%
20.011
 
0.2%
20.021
 
0.2%
20.061
 
0.2%
20.081
 
0.2%
ValueCountFrequency (%)
80.521
3.7%
80.481
 
0.2%
80.47
 
1.2%
80.381
 
0.2%
80.315
2.7%

TCN_SetTemperatureMean
Real number (ℝ≥0)

Distinct10
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.22937943
Minimum20
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:46.421090image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q120
median50
Q380
95-th percentile80
Maximum80
Range60
Interquartile range (IQR)60

Descriptive statistics

Standard deviation22.92978665
Coefficient of variation (CV)0.4854983682
Kurtosis-1.346339064
Mean47.22937943
Median Absolute Deviation (MAD)30
Skewness0.2552567395
Sum26637.37
Variance525.7751156
MonotonicityNot monotonic
2022-10-25T10:09:46.510748image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20155
27.5%
80144
25.5%
50107
19.0%
3048
 
8.5%
4048
 
8.5%
6036
 
6.4%
3512
 
2.1%
5512
 
2.1%
26.321
 
0.2%
41.051
 
0.2%
ValueCountFrequency (%)
20155
27.5%
26.321
 
0.2%
3048
 
8.5%
3512
 
2.1%
4048
 
8.5%
ValueCountFrequency (%)
80144
25.5%
6036
 
6.4%
5512
 
2.1%
50107
19.0%
41.051
 
0.2%

DXP_Inj1PrsAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1VelAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1PosAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1RpmAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_MldCavPrs1Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_ClpVelAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_ClpPosAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_ClpFceAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Eje1VelAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Eje1PosAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inju1PosAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inju1VelAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Pmp1VolSet
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Pmp1PrsSet
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Pmp1PrsAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_DriveSiePmpTrqAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_DriveSiePlst1TrqAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_ClpMldAdjAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inju1U4000VelSet
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Counter2Counter2Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Parameter_int32_1_Set
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Parameter_int32_2_Set
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Parameter_int16_1_Set
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Parameter_int16_2_Set
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Parameter_int16_3_Set
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Alarm_int32_Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Step_int32_Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Parameter_int32_Option
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Mux1Tmp_1_16TmpMux
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Mux2Tmp_1_16TmpMux
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_PumpValve1Set
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_ClampValve1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_EjeValve1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1Valve1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_T_Inj1BrlHtgBit1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Pump2ServoIxtAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Pump11ServoSpeed
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Pump11ServoTrqAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_TrigClpCls
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_TrigClpOpn
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_TrigInj1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_TrigHld1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_TrigPlst1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_TrigInj1Dcmp1
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_TrigInj1Dcmp2
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_TrigCool
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_TrigClpCfb
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_TrigClpCfr
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_TrigEje1Fwd
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_TrigEje1Rew
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_TrigInju1Fwd
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_TrigInju1Rew
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1VelVolAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1PosVolAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1HopTmpAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1HtgTmp1Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1HtgTmp2Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1HtgTmp3Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1HtgTmp4Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1HtgTmp11Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1HopEdAct
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1HtgEd1Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1HtgEd2Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1HtgEd3Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1HtgEd4Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_Inj1HtgEd11Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_MldHtg1Tmp1Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_MldHtg1Tmp2Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DXP_OilTmp1Act
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

IR_Image1Name
Categorical

HIGH CARDINALITY
UNIQUE

Distinct564
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
TDI_000020211207 08_28_23.900A1.csv
 
1
TDI_000020211215 14_34_28.183A1.csv
 
1
TDI_000020211215 14_28_42.345A1.csv
 
1
TDI_000020211215 14_29_39.984A1.csv
 
1
TDI_000020211215 14_30_37.623A1.csv
 
1
Other values (559)
559 

Unique

Unique564 ?
Unique (%)100.0%

Sample

1st rowTDI_000020211207 08_28_23.900A1.csv
2nd rowTDI_000020211207 08_29_20.862A1.csv
3rd rowTDI_000020211207 08_30_17.836A1.csv
4th rowTDI_000020211207 08_31_14.793A1.csv
5th rowTDI_000020211207 08_32_11.771A1.csv

Common Values

ValueCountFrequency (%)
TDI_000020211207 08_28_23.900A1.csv1
 
0.2%
TDI_000020211215 14_34_28.183A1.csv1
 
0.2%
TDI_000020211215 14_28_42.345A1.csv1
 
0.2%
TDI_000020211215 14_29_39.984A1.csv1
 
0.2%
TDI_000020211215 14_30_37.623A1.csv1
 
0.2%
TDI_000020211215 14_31_35.288A1.csv1
 
0.2%
TDI_000020211215 14_32_32.904A1.csv1
 
0.2%
TDI_000020211215 14_33_30.535A1.csv1
 
0.2%
TDI_000020211215 14_35_25.825A1.csv1
 
0.2%
TDI_000020211215 14_21_58.808A1.csv1
 
0.2%
Other values (554)554
98.2%

IR_Image2Name
Categorical

HIGH CARDINALITY
UNIQUE

Distinct564
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
TDI_000020211207 08_28_38.892A1.csv
 
1
TDI_000020211215 14_34_43.191A1.csv
 
1
TDI_000020211215 14_28_57.357A1.csv
 
1
TDI_000020211215 14_29_54.973A1.csv
 
1
TDI_000020211215 14_30_52.631A1.csv
 
1
Other values (559)
559 

Unique

Unique564 ?
Unique (%)100.0%

Sample

1st rowTDI_000020211207 08_28_38.892A1.csv
2nd rowTDI_000020211207 08_29_35.835A1.csv
3rd rowTDI_000020211207 08_30_32.859A1.csv
4th rowTDI_000020211207 08_31_29.802A1.csv
5th rowTDI_000020211207 08_32_26.762A1.csv

Common Values

ValueCountFrequency (%)
TDI_000020211207 08_28_38.892A1.csv1
 
0.2%
TDI_000020211215 14_34_43.191A1.csv1
 
0.2%
TDI_000020211215 14_28_57.357A1.csv1
 
0.2%
TDI_000020211215 14_29_54.973A1.csv1
 
0.2%
TDI_000020211215 14_30_52.631A1.csv1
 
0.2%
TDI_000020211215 14_31_50.280A1.csv1
 
0.2%
TDI_000020211215 14_32_47.911A1.csv1
 
0.2%
TDI_000020211215 14_33_45.530A1.csv1
 
0.2%
TDI_000020211215 14_35_40.807A1.csv1
 
0.2%
TDI_000020211215 14_22_13.817A1.csv1
 
0.2%
Other values (554)554
98.2%

IR_Image3Name
Categorical

HIGH CARDINALITY
MISSING

Distinct408
Distinct (%)100.0%
Missing156
Missing (%)27.7%
Memory size4.5 KiB
TDI_000020211215 09_48_28.884A1.csv
 
1
TDI_000020211215 10_14_26.230A1.csv
 
1
TDI_000020211215 10_13_28.519A1.csv
 
1
TDI_000020211215 10_12_30.783A1.csv
 
1
TDI_000020211215 10_11_33.088A1.csv
 
1
Other values (403)
403 

Unique

Unique408 ?
Unique (%)100.0%

Sample

1st rowTDI_000020211207 08_28_53.871A1.csv
2nd rowTDI_000020211207 08_29_50.829A1.csv
3rd rowTDI_000020211207 08_30_47.835A1.csv
4th rowTDI_000020211207 08_31_44.794A1.csv
5th rowTDI_000020211207 08_32_41.772A1.csv

Common Values

ValueCountFrequency (%)
TDI_000020211215 09_48_28.884A1.csv1
 
0.2%
TDI_000020211215 10_14_26.230A1.csv1
 
0.2%
TDI_000020211215 10_13_28.519A1.csv1
 
0.2%
TDI_000020211215 10_12_30.783A1.csv1
 
0.2%
TDI_000020211215 10_11_33.088A1.csv1
 
0.2%
TDI_000020211215 09_54_14.218A1.csv1
 
0.2%
TDI_000020211215 09_53_16.656A1.csv1
 
0.2%
TDI_000020211215 09_52_19.083A1.csv1
 
0.2%
TDI_000020211215 09_51_21.576A1.csv1
 
0.2%
TDI_000020211215 09_50_23.997A1.csv1
 
0.2%
Other values (398)398
70.6%
(Missing)156
 
27.7%

DRY_HT101_acAirFlow
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT101_acDryingTime
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT101_acSensorMoisture
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT101_acTempDryair
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DRY_HT101_acTempReturnAir
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DRY_HT101_sfBinOn
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT101_sfDryingFinished
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT101_sfTimerOn
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT101_svDryingTime
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT101_svTempDryair
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT101_svTempReturnAir
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT101_svTempStandby
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT102_acAirFlow
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT102_acDryingTime
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT102_acSensorMoisture
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT102_acTempDryair
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DRY_HT102_acTempReturnAir
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.5 KiB

DRY_HT102_sfBinOn
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT102_sfDryingFinished
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT102_sfTimerOn
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT102_svDryingTime
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT102_svTempDryair
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT102_svTempReturnAir
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DRY_HT102_svTempStandby
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acBatchCounter
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acComp1DosRate
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acComp1Percent
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acComp1TotalWeight
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acComp2DosRate
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acComp2Percent
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acComp2TotalWeight
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acComp3DosRate
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acComp3Percent
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acComp3TotalWeight
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acComp4DosRate
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acComp4Percent
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acComp4TotalWeight
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acDessicantBedCycleTime
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acDryCircuitDewPoint
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acRegCircuitInletTemp
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acTotalWeight
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_acWeight
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_sfDryerOn
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_sfTimerOn
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

DOS_svBatchWeight
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing156
Missing (%)27.7%
Memory size4.5 KiB

SIM_Width1
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.9%
Missing348
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean29.09483796
Minimum28.9212
Maximum29.3348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:46.608580image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum28.9212
5-th percentile28.9212
Q129.001
median29.04545
Q329.1522
95-th percentile29.3348
Maximum29.3348
Range0.4136
Interquartile range (IQR)0.1512

Descriptive statistics

Standard deviation0.1184836044
Coefficient of variation (CV)0.004072323913
Kurtosis-0.6934954556
Mean29.09483796
Median Absolute Deviation (MAD)0.05935
Skewness0.7018302478
Sum6284.485
Variance0.01403836451
MonotonicityNot monotonic
2022-10-25T10:09:46.689194image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
29.104824
 
4.3%
29.045113
 
2.3%
29.010712
 
2.1%
29.034112
 
2.1%
29.232312
 
2.1%
29.045812
 
2.1%
29.152212
 
2.1%
29.334812
 
2.1%
28.979212
 
2.1%
29.145312
 
2.1%
Other values (7)83
 
14.7%
(Missing)348
61.7%
ValueCountFrequency (%)
28.921212
2.1%
28.979212
2.1%
28.996512
2.1%
28.997612
2.1%
29.00112
2.1%
ValueCountFrequency (%)
29.334812
2.1%
29.291812
2.1%
29.288812
2.1%
29.232312
2.1%
29.152212
2.1%

SIM_Width2
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.9%
Missing348
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean29.24235185
Minimum29.109
Maximum29.388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:46.766378image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum29.109
5-th percentile29.109
Q129.179
median29.2545
Q329.302
95-th percentile29.388
Maximum29.388
Range0.279
Interquartile range (IQR)0.123

Descriptive statistics

Standard deviation0.08692325563
Coefficient of variation (CV)0.002972512473
Kurtosis-1.163571789
Mean29.24235185
Median Absolute Deviation (MAD)0.072
Skewness-0.1157069563
Sum6316.348
Variance0.007555652369
MonotonicityNot monotonic
2022-10-25T10:09:46.860612image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
29.10924
 
4.3%
29.2713
 
2.3%
29.35712
 
2.1%
29.33612
 
2.1%
29.29612
 
2.1%
29.18612
 
2.1%
29.23912
 
2.1%
29.38812
 
2.1%
29.11312
 
2.1%
29.17912
 
2.1%
Other values (7)83
 
14.7%
(Missing)348
61.7%
ValueCountFrequency (%)
29.10924
4.3%
29.11312
2.1%
29.14612
2.1%
29.17912
2.1%
29.18612
2.1%
ValueCountFrequency (%)
29.38812
2.1%
29.35712
2.1%
29.34512
2.1%
29.33612
2.1%
29.30211
2.0%

SIM_Width3
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)7.4%
Missing348
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean29.103625
Minimum28.957
Maximum29.339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:46.945202image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum28.957
5-th percentile28.957
Q129.006
median29.034
Q329.174
95-th percentile29.339
Maximum29.339
Range0.382
Interquartile range (IQR)0.168

Descriptive statistics

Standard deviation0.1254293209
Coefficient of variation (CV)0.004309749073
Kurtosis-0.760171312
Mean29.103625
Median Absolute Deviation (MAD)0.061
Skewness0.8073758083
Sum6286.383
Variance0.01573251453
MonotonicityNot monotonic
2022-10-25T10:09:47.032275image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
29.03424
 
4.3%
29.10424
 
4.3%
29.01113
 
2.3%
29.1712
 
2.1%
28.98212
 
2.1%
29.00312
 
2.1%
28.95712
 
2.1%
29.33612
 
2.1%
29.33912
 
2.1%
29.00612
 
2.1%
Other values (6)71
 
12.6%
(Missing)348
61.7%
ValueCountFrequency (%)
28.95712
2.1%
28.98212
2.1%
28.98812
2.1%
29.00312
2.1%
29.00612
2.1%
ValueCountFrequency (%)
29.33912
2.1%
29.33612
2.1%
29.32212
2.1%
29.23612
2.1%
29.17412
2.1%

SIM_Height1
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.9%
Missing348
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean52.73706019
Minimum52.543
Maximum53.008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:47.123931image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum52.543
5-th percentile52.543
Q152.614
median52.722
Q352.824
95-th percentile53.008
Maximum53.008
Range0.465
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.1290422361
Coefficient of variation (CV)0.002446898549
Kurtosis-0.7175856063
Mean52.73706019
Median Absolute Deviation (MAD)0.105
Skewness0.4908028462
Sum11391.205
Variance0.01665189869
MonotonicityNot monotonic
2022-10-25T10:09:47.202073image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
52.60224
 
4.3%
52.74113
 
2.3%
53.00812
 
2.1%
52.94212
 
2.1%
52.77612
 
2.1%
52.59212
 
2.1%
52.54312
 
2.1%
52.70312
 
2.1%
52.67412
 
2.1%
52.67212
 
2.1%
Other values (7)83
 
14.7%
(Missing)348
61.7%
ValueCountFrequency (%)
52.54312
2.1%
52.59212
2.1%
52.60224
4.3%
52.61412
2.1%
52.66712
2.1%
ValueCountFrequency (%)
53.00812
2.1%
52.94212
2.1%
52.90912
2.1%
52.87212
2.1%
52.82411
2.0%

SIM_Height2
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.9%
Missing348
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean52.70967593
Minimum52.416
Maximum53.027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:47.296035image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum52.416
5-th percentile52.416
Q152.638
median52.67
Q352.793
95-th percentile53.027
Maximum53.027
Range0.611
Interquartile range (IQR)0.155

Descriptive statistics

Standard deviation0.1588628385
Coefficient of variation (CV)0.003013921747
Kurtosis-0.4562891017
Mean52.70967593
Median Absolute Deviation (MAD)0.067
Skewness0.3082155383
Sum11385.29
Variance0.02523740146
MonotonicityNot monotonic
2022-10-25T10:09:47.383120image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
52.65224
 
4.3%
52.72313
 
2.3%
53.02712
 
2.1%
52.94212
 
2.1%
52.75212
 
2.1%
52.63812
 
2.1%
52.41612
 
2.1%
52.48812
 
2.1%
52.67612
 
2.1%
52.71712
 
2.1%
Other values (7)83
 
14.7%
(Missing)348
61.7%
ValueCountFrequency (%)
52.41612
2.1%
52.48812
2.1%
52.53512
2.1%
52.60312
2.1%
52.63812
2.1%
ValueCountFrequency (%)
53.02712
2.1%
52.9512
2.1%
52.94212
2.1%
52.89912
2.1%
52.79311
2.0%

SIM_Height3
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.9%
Missing348
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean52.7199213
Minimum52.536
Maximum52.989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:47.469690image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum52.536
5-th percentile52.536
Q152.602
median52.708
Q352.801
95-th percentile52.989
Maximum52.989
Range0.453
Interquartile range (IQR)0.199

Descriptive statistics

Standard deviation0.1261165512
Coefficient of variation (CV)0.002392199155
Kurtosis-0.7259083211
Mean52.7199213
Median Absolute Deviation (MAD)0.0995
Skewness0.5296243053
Sum11387.503
Variance0.01590538447
MonotonicityNot monotonic
2022-10-25T10:09:47.545621image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
52.59524
 
4.3%
52.72413
 
2.3%
52.98912
 
2.1%
52.92212
 
2.1%
52.76612
 
2.1%
52.58412
 
2.1%
52.53612
 
2.1%
52.69512
 
2.1%
52.64612
 
2.1%
52.65912
 
2.1%
Other values (7)83
 
14.7%
(Missing)348
61.7%
ValueCountFrequency (%)
52.53612
2.1%
52.58412
2.1%
52.59524
4.3%
52.60212
2.1%
52.61912
2.1%
ValueCountFrequency (%)
52.98912
2.1%
52.92212
2.1%
52.87812
2.1%
52.85212
2.1%
52.80111
2.0%

SIM_Width
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.9%
Missing348
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean91.82264352
Minimum91.016
Maximum92.994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:47.636016image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum91.016
5-th percentile91.016
Q191.252
median91.8385
Q392.355
95-th percentile92.994
Maximum92.994
Range1.978
Interquartile range (IQR)1.103

Descriptive statistics

Standard deviation0.6256958751
Coefficient of variation (CV)0.006814178411
Kurtosis-1.119381794
Mean91.82264352
Median Absolute Deviation (MAD)0.5455
Skewness0.3257270837
Sum19833.691
Variance0.3914953281
MonotonicityNot monotonic
2022-10-25T10:09:47.729943image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
92.35524
 
4.3%
91.29313
 
2.3%
91.0812
 
2.1%
91.25212
 
2.1%
92.16512
 
2.1%
91.9112
 
2.1%
92.07812
 
2.1%
92.08112
 
2.1%
91.76712
 
2.1%
92.52512
 
2.1%
Other values (7)83
 
14.7%
(Missing)348
61.7%
ValueCountFrequency (%)
91.01612
2.1%
91.04212
2.1%
91.0812
2.1%
91.22611
2.0%
91.25212
2.1%
ValueCountFrequency (%)
92.99412
2.1%
92.89512
2.1%
92.52512
2.1%
92.35524
4.3%
92.16512
2.1%

SIM_Height
Real number (ℝ≥0)

MISSING

Distinct16
Distinct (%)7.4%
Missing348
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean148.9378009
Minimum148.151
Maximum149.531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:47.816167image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum148.151
5-th percentile148.151
Q1148.823
median148.878
Q3149.069
95-th percentile149.531
Maximum149.531
Range1.38
Interquartile range (IQR)0.246

Descriptive statistics

Standard deviation0.3482120207
Coefficient of variation (CV)0.002337969397
Kurtosis0.3238286222
Mean148.9378009
Median Absolute Deviation (MAD)0.133
Skewness-0.2360967837
Sum32170.565
Variance0.1212516113
MonotonicityNot monotonic
2022-10-25T10:09:47.888979image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
148.87525
 
4.4%
148.87824
 
4.3%
148.97212
 
2.1%
148.82312
 
2.1%
148.77612
 
2.1%
148.15112
 
2.1%
149.06912
 
2.1%
149.53112
 
2.1%
148.98512
 
2.1%
149.52712
 
2.1%
Other values (6)71
 
12.6%
(Missing)348
61.7%
ValueCountFrequency (%)
148.15112
2.1%
148.31312
2.1%
148.71912
2.1%
148.77612
2.1%
148.82312
2.1%
ValueCountFrequency (%)
149.53112
2.1%
149.52712
2.1%
149.46412
2.1%
149.14712
2.1%
149.06912
2.1%

SIM_Height2Small
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.9%
Missing348
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean14.77344444
Minimum14.497
Maximum14.975
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:47.982577image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum14.497
5-th percentile14.497
Q114.669
median14.7595
Q314.867
95-th percentile14.975
Maximum14.975
Range0.478
Interquartile range (IQR)0.198

Descriptive statistics

Standard deviation0.1359252417
Coefficient of variation (CV)0.009200646617
Kurtosis-0.8472058252
Mean14.77344444
Median Absolute Deviation (MAD)0.099
Skewness-0.2694098405
Sum3191.064
Variance0.01847567132
MonotonicityNot monotonic
2022-10-25T10:09:48.076215image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
14.84924
 
4.3%
14.74113
 
2.3%
14.49712
 
2.1%
14.61412
 
2.1%
14.82712
 
2.1%
14.76512
 
2.1%
14.93212
 
2.1%
14.95912
 
2.1%
14.75412
 
2.1%
14.86712
 
2.1%
Other values (7)83
 
14.7%
(Missing)348
61.7%
ValueCountFrequency (%)
14.49712
2.1%
14.59112
2.1%
14.60212
2.1%
14.61412
2.1%
14.66911
2.0%
ValueCountFrequency (%)
14.97512
2.1%
14.95912
2.1%
14.94512
2.1%
14.93212
2.1%
14.86712
2.1%

SIM_Width2Small
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.9%
Missing348
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean14.67494444
Minimum14.54
Maximum14.837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:48.159009image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum14.54
5-th percentile14.54
Q114.617
median14.687
Q314.734
95-th percentile14.837
Maximum14.837
Range0.297
Interquartile range (IQR)0.117

Descriptive statistics

Standard deviation0.08850445616
Coefficient of variation (CV)0.006030990883
Kurtosis-0.9554970177
Mean14.67494444
Median Absolute Deviation (MAD)0.065
Skewness0.1217856357
Sum3169.788
Variance0.00783303876
MonotonicityNot monotonic
2022-10-25T10:09:48.232454image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
14.724
 
4.3%
14.62213
 
2.3%
14.61712
 
2.1%
14.5412
 
2.1%
14.69212
 
2.1%
14.73412
 
2.1%
14.75312
 
2.1%
14.78912
 
2.1%
14.63212
 
2.1%
14.71812
 
2.1%
Other values (7)83
 
14.7%
(Missing)348
61.7%
ValueCountFrequency (%)
14.5412
2.1%
14.55212
2.1%
14.55612
2.1%
14.56211
2.0%
14.61712
2.1%
ValueCountFrequency (%)
14.83712
2.1%
14.81512
2.1%
14.78912
2.1%
14.75312
2.1%
14.73412
2.1%

SIM_Diameter3
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)7.9%
Missing348
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean11.3147963
Minimum11.239
Maximum11.374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:48.326505image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum11.239
5-th percentile11.239
Q111.285
median11.302
Q311.353
95-th percentile11.36875
Maximum11.374
Range0.135
Interquartile range (IQR)0.068

Descriptive statistics

Standard deviation0.04115828985
Coefficient of variation (CV)0.003637563485
Kurtosis-1.356318607
Mean11.3147963
Median Absolute Deviation (MAD)0.0415
Skewness-0.07122327406
Sum2443.996
Variance0.001694004823
MonotonicityNot monotonic
2022-10-25T10:09:48.420243image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
11.28524
 
4.3%
11.36613
 
2.3%
11.35712
 
2.1%
11.36712
 
2.1%
11.28912
 
2.1%
11.23912
 
2.1%
11.26212
 
2.1%
11.26712
 
2.1%
11.28612
 
2.1%
11.30612
 
2.1%
Other values (7)83
 
14.7%
(Missing)348
61.7%
ValueCountFrequency (%)
11.23912
2.1%
11.26212
2.1%
11.26712
2.1%
11.28524
4.3%
11.28612
2.1%
ValueCountFrequency (%)
11.37411
2.0%
11.36712
2.1%
11.36613
2.3%
11.35712
2.1%
11.35312
2.1%

SIM_Roundness
Real number (ℝ≥0)

MISSING

Distinct12
Distinct (%)5.6%
Missing348
Missing (%)61.7%
Infinite0
Infinite (%)0.0%
Mean0.02116203704
Minimum0.006
Maximum0.039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:48.514082image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.006
5-th percentile0.006
Q10.009
median0.022
Q30.032
95-th percentile0.039
Maximum0.039
Range0.033
Interquartile range (IQR)0.023

Descriptive statistics

Standard deviation0.01231435704
Coefficient of variation (CV)0.581907924
Kurtosis-1.660748447
Mean0.02116203704
Median Absolute Deviation (MAD)0.0125
Skewness0.04644686427
Sum4.571
Variance0.0001516433893
MonotonicityNot monotonic
2022-10-25T10:09:48.594268image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.00625
 
4.4%
0.02224
 
4.3%
0.03124
 
4.3%
0.03924
 
4.3%
0.00924
 
4.3%
0.00723
 
4.1%
0.0112
 
2.1%
0.03212
 
2.1%
0.03512
 
2.1%
0.02912
 
2.1%
Other values (2)24
 
4.3%
(Missing)348
61.7%
ValueCountFrequency (%)
0.00625
4.4%
0.00723
4.1%
0.00924
4.3%
0.0112
2.1%
0.01312
2.1%
ValueCountFrequency (%)
0.03924
4.3%
0.03512
2.1%
0.03412
2.1%
0.03212
2.1%
0.03124
4.3%

SIM_TempSprue
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)7.2%
Missing204
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean55.80847222
Minimum33.84
Maximum93.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:48.670210image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum33.84
5-th percentile33.89
Q141.12
median55.87
Q366.53
95-th percentile87.65
Maximum93.16
Range59.32
Interquartile range (IQR)25.41

Descriptive statistics

Standard deviation16.1035146
Coefficient of variation (CV)0.2885496405
Kurtosis-0.727988295
Mean55.80847222
Median Absolute Deviation (MAD)13.935
Skewness0.3686672471
Sum20091.05
Variance259.3231823
MonotonicityNot monotonic
2022-10-25T10:09:48.764295image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
41.1236
 
6.4%
66.5324
 
4.3%
54.7924
 
4.3%
37.713
 
2.3%
40.1512
 
2.1%
36.4412
 
2.1%
56.9512
 
2.1%
45.2812
 
2.1%
64.8712
 
2.1%
87.6512
 
2.1%
Other values (16)191
33.9%
(Missing)204
36.2%
ValueCountFrequency (%)
33.8412
2.1%
33.8912
2.1%
36.4412
2.1%
36.4612
2.1%
37.713
2.3%
ValueCountFrequency (%)
93.1612
2.1%
87.6512
2.1%
73.8612
2.1%
73.212
2.1%
72.3912
2.1%

SIM_TempDome
Real number (ℝ≥0)

MISSING

Distinct24
Distinct (%)6.7%
Missing204
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean44.09294444
Minimum24.93
Maximum81.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:48.859460image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum24.93
5-th percentile24.93
Q128.02
median43.355
Q356.66
95-th percentile76.01
Maximum81.12
Range56.19
Interquartile range (IQR)28.64

Descriptive statistics

Standard deviation16.43077686
Coefficient of variation (CV)0.3726395926
Kurtosis-0.9402335555
Mean44.09294444
Median Absolute Deviation (MAD)14.955
Skewness0.3995219175
Sum15873.46
Variance269.9704281
MonotonicityNot monotonic
2022-10-25T10:09:48.946733image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
28.436
 
6.4%
24.9324
 
4.3%
55.1924
 
4.3%
56.6624
 
4.3%
37.0824
 
4.3%
26.1213
 
2.3%
28.0212
 
2.1%
46.0912
 
2.1%
31.0812
 
2.1%
52.1412
 
2.1%
Other values (14)167
29.6%
(Missing)204
36.2%
ValueCountFrequency (%)
24.9324
4.3%
25.9712
2.1%
25.9812
2.1%
26.1213
2.3%
26.3811
2.0%
ValueCountFrequency (%)
81.1212
2.1%
76.0112
2.1%
65.5712
2.1%
59.8712
2.1%
58.7812
2.1%

SIM_TempEdgeHor
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)7.2%
Missing204
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean47.93027778
Minimum27.14
Maximum82.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:49.037565image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum27.14
5-th percentile27.16
Q132.72
median46.945
Q360.31
95-th percentile78.73
Maximum82.94
Range55.8
Interquartile range (IQR)27.59

Descriptive statistics

Standard deviation16.25227629
Coefficient of variation (CV)0.3390816211
Kurtosis-1.053644128
Mean47.93027778
Median Absolute Deviation (MAD)14.225
Skewness0.2957853304
Sum17254.9
Variance264.1364846
MonotonicityNot monotonic
2022-10-25T10:09:49.123867image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
32.7236
 
6.4%
60.3124
 
4.3%
43.3824
 
4.3%
29.4813
 
2.3%
30.8112
 
2.1%
28.8612
 
2.1%
49.9912
 
2.1%
36.3112
 
2.1%
56.7312
 
2.1%
78.7312
 
2.1%
Other values (16)191
33.9%
(Missing)204
36.2%
ValueCountFrequency (%)
27.1412
2.1%
27.1612
2.1%
28.8612
2.1%
28.8712
2.1%
29.4813
2.3%
ValueCountFrequency (%)
82.9412
2.1%
78.7312
2.1%
68.1612
2.1%
64.7512
2.1%
63.6812
2.1%

SIM_TempEdgeVer
Real number (ℝ≥0)

MISSING

Distinct24
Distinct (%)6.7%
Missing204
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean45.41469444
Minimum25.08
Maximum80.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:49.201763image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum25.08
5-th percentile25.08
Q129.05
median44.425
Q358.17
95-th percentile76.6
Maximum80.86
Range55.78
Interquartile range (IQR)29.12

Descriptive statistics

Standard deviation16.4656951
Coefficient of variation (CV)0.3625631594
Kurtosis-1.068142834
Mean45.41469444
Median Absolute Deviation (MAD)14.475
Skewness0.2995177651
Sum16349.29
Variance271.1191152
MonotonicityNot monotonic
2022-10-25T10:09:49.295253image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
29.9536
 
6.4%
26.3324
 
4.3%
25.0824
 
4.3%
58.1724
 
4.3%
40.4824
 
4.3%
26.7313
 
2.3%
27.3212
 
2.1%
47.3112
 
2.1%
33.7312
 
2.1%
54.5912
 
2.1%
Other values (14)167
29.6%
(Missing)204
36.2%
ValueCountFrequency (%)
25.0824
4.3%
26.3324
4.3%
26.7313
2.3%
27.211
2.0%
27.3212
2.1%
ValueCountFrequency (%)
80.8612
2.1%
76.612
2.1%
66.6112
2.1%
61.312
2.1%
60.3712
2.1%

SIM_TempGradVerStd
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)8.3%
Missing360
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean2.523011275
Minimum2.0269
Maximum3.048
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:49.389197image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum2.0269
5-th percentile2.0269
Q12.1176
median2.5497
Q32.969
95-th percentile3.048
Maximum3.048
Range1.0211
Interquartile range (IQR)0.8514

Descriptive statistics

Standard deviation0.4274101572
Coefficient of variation (CV)0.169404775
Kurtosis-1.8810541
Mean2.523011275
Median Absolute Deviation (MAD)0.4321
Skewness0.01229794569
Sum514.6943
Variance0.1826794425
MonotonicityNot monotonic
2022-10-25T10:09:49.482598image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2.960513
 
2.3%
2.987912
 
2.1%
2.988612
 
2.1%
3.04812
 
2.1%
3.021612
 
2.1%
2.131712
 
2.1%
2.151212
 
2.1%
2.118512
 
2.1%
2.117612
 
2.1%
2.549712
 
2.1%
Other values (7)83
 
14.7%
(Missing)360
63.8%
ValueCountFrequency (%)
2.026912
2.1%
2.030212
2.1%
2.055812
2.1%
2.057312
2.1%
2.117612
2.1%
ValueCountFrequency (%)
3.04812
2.1%
3.021612
2.1%
2.988612
2.1%
2.987912
2.1%
2.96911
2.0%

SIM_TempGradVerRng
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)8.3%
Missing360
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean12.91628676
Minimum10.5695
Maximum15.762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:49.576539image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum10.5695
5-th percentile10.5695
Q110.9614
median13.06
Q315.07
95-th percentile15.762
Maximum15.762
Range5.1925
Interquartile range (IQR)4.1086

Descriptive statistics

Standard deviation2.086514578
Coefficient of variation (CV)0.1615413637
Kurtosis-1.828798279
Mean12.91628676
Median Absolute Deviation (MAD)2.0389
Skewness0.04925065433
Sum2634.9225
Variance4.353543086
MonotonicityNot monotonic
2022-10-25T10:09:49.670467image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
14.991513
 
2.3%
15.0712
 
2.1%
15.07412
 
2.1%
15.76212
 
2.1%
15.570512
 
2.1%
11.021112
 
2.1%
11.112
 
2.1%
10.96612
 
2.1%
10.961412
 
2.1%
13.0612
 
2.1%
Other values (7)83
 
14.7%
(Missing)360
63.8%
ValueCountFrequency (%)
10.569512
2.1%
10.576512
2.1%
10.577512
2.1%
10.59512
2.1%
10.961412
2.1%
ValueCountFrequency (%)
15.76212
2.1%
15.570512
2.1%
15.09511
2.0%
15.07412
2.1%
15.0712
2.1%

SIM_TempVerStd
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)8.3%
Missing360
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean11.93193971
Minimum9.6861
Maximum14.8483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:49.760502image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum9.6861
5-th percentile9.6861
Q110.4393
median11.8346
Q313.3439
95-th percentile14.8483
Maximum14.8483
Range5.1622
Interquartile range (IQR)2.9046

Descriptive statistics

Standard deviation1.610311108
Coefficient of variation (CV)0.1349580326
Kurtosis-1.222541035
Mean11.93193971
Median Absolute Deviation (MAD)1.5
Skewness0.228387866
Sum2434.1157
Variance2.593101865
MonotonicityNot monotonic
2022-10-25T10:09:49.847514image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
13.499313
 
2.3%
13.340312
 
2.1%
13.343912
 
2.1%
14.848312
 
2.1%
14.346712
 
2.1%
11.265912
 
2.1%
11.405512
 
2.1%
10.447212
 
2.1%
10.439312
 
2.1%
11.834612
 
2.1%
Other values (7)83
 
14.7%
(Missing)360
63.8%
ValueCountFrequency (%)
9.686112
2.1%
9.691912
2.1%
10.334612
2.1%
10.402212
2.1%
10.439312
2.1%
ValueCountFrequency (%)
14.848312
2.1%
14.346712
2.1%
13.637611
2.0%
13.499313
2.3%
13.343912
2.1%

SIM_TempVerRng
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)8.3%
Missing360
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean65.85371176
Minimum53.02
Maximum81.064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:49.920682image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum53.02
5-th percentile53.02
Q156.2609
median65.24
Q374.851
95-th percentile81.064
Maximum81.064
Range28.044
Interquartile range (IQR)18.5901

Descriptive statistics

Standard deviation9.549009548
Coefficient of variation (CV)0.1450033611
Kurtosis-1.520953148
Mean65.85371176
Median Absolute Deviation (MAD)9.478
Skewness0.08568160346
Sum13434.1572
Variance91.18358334
MonotonicityNot monotonic
2022-10-25T10:09:50.018284image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
75.55713
 
2.3%
74.83312
 
2.1%
74.85112
 
2.1%
81.06412
 
2.1%
79.05412
 
2.1%
61.097712
 
2.1%
61.91112
 
2.1%
56.31112
 
2.1%
56.260912
 
2.1%
65.2412
 
2.1%
Other values (7)83
 
14.7%
(Missing)360
63.8%
ValueCountFrequency (%)
53.0212
2.1%
53.03612
2.1%
55.76212
2.1%
56.07812
2.1%
56.260912
2.1%
ValueCountFrequency (%)
81.06412
2.1%
79.05412
2.1%
76.06711
2.0%
75.55713
2.3%
74.85112
2.1%

SIM_TempGradHorStd
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)7.4%
Missing360
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean0.05876862745
Minimum0.0477
Maximum0.0708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:50.100580image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0477
5-th percentile0.0477
Q10.0546
median0.0575
Q30.0637
95-th percentile0.0708
Maximum0.0708
Range0.0231
Interquartile range (IQR)0.0091

Descriptive statistics

Standard deviation0.007043425896
Coefficient of variation (CV)0.1198501003
Kurtosis-0.8200060363
Mean0.05876862745
Median Absolute Deviation (MAD)0.0034
Skewness0.3701789441
Sum11.9888
Variance4.960984835 × 10-5
MonotonicityNot monotonic
2022-10-25T10:09:50.187565image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.054724
 
4.3%
0.057524
 
4.3%
0.054113
 
2.3%
0.047712
 
2.1%
0.047812
 
2.1%
0.054612
 
2.1%
0.057812
 
2.1%
0.060612
 
2.1%
0.070312
 
2.1%
0.069912
 
2.1%
Other values (5)59
 
10.5%
(Missing)360
63.8%
ValueCountFrequency (%)
0.047712
2.1%
0.047812
2.1%
0.05412
2.1%
0.054113
2.3%
0.054612
2.1%
ValueCountFrequency (%)
0.070812
2.1%
0.070312
2.1%
0.069912
2.1%
0.066712
2.1%
0.063712
2.1%

SIM_TempGradHorRng
Real number (ℝ≥0)

MISSING

Distinct14
Distinct (%)6.9%
Missing360
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean0.1973534314
Minimum0.1575
Maximum0.245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:50.263856image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.1575
5-th percentile0.1575
Q10.1815
median0.19
Q30.214
95-th percentile0.245
Maximum0.245
Range0.0875
Interquartile range (IQR)0.0325

Descriptive statistics

Standard deviation0.02570354556
Coefficient of variation (CV)0.130241189
Kurtosis-0.8302280127
Mean0.1973534314
Median Absolute Deviation (MAD)0.01
Skewness0.3814016994
Sum40.2601
Variance0.0006606722542
MonotonicityNot monotonic
2022-10-25T10:09:50.352352image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.1825
 
4.4%
0.157524
 
4.3%
0.1924
 
4.3%
0.183512
 
2.1%
0.18312
 
2.1%
0.197512
 
2.1%
0.206512
 
2.1%
0.236112
 
2.1%
0.234512
 
2.1%
0.24512
 
2.1%
Other values (4)47
 
8.3%
(Missing)360
63.8%
ValueCountFrequency (%)
0.157524
4.3%
0.1825
4.4%
0.181512
2.1%
0.18312
2.1%
0.183512
2.1%
ValueCountFrequency (%)
0.24512
2.1%
0.236112
2.1%
0.234512
2.1%
0.229712
2.1%
0.21412
2.1%

SIM_PartWeight
Real number (ℝ≥0)

MISSING

Distinct26
Distinct (%)7.2%
Missing204
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean92.10358333
Minimum90.35
Maximum94.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:50.449426image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum90.35
5-th percentile90.35
Q190.85
median92.16
Q393.08
95-th percentile94.43
Maximum94.46
Range4.11
Interquartile range (IQR)2.23

Descriptive statistics

Standard deviation1.295834635
Coefficient of variation (CV)0.01406931835
Kurtosis-1.189755402
Mean92.10358333
Median Absolute Deviation (MAD)1.185
Skewness0.2903261252
Sum33157.29
Variance1.679187403
MonotonicityNot monotonic
2022-10-25T10:09:50.534033image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
90.7736
 
6.4%
92.8524
 
4.3%
90.3524
 
4.3%
92.5913
 
2.3%
92.3312
 
2.1%
90.8512
 
2.1%
91.1612
 
2.1%
90.6712
 
2.1%
90.8812
 
2.1%
93.7612
 
2.1%
Other values (16)191
33.9%
(Missing)204
36.2%
ValueCountFrequency (%)
90.3524
4.3%
90.4812
 
2.1%
90.6712
 
2.1%
90.7736
6.4%
90.8512
 
2.1%
ValueCountFrequency (%)
94.4612
2.1%
94.4312
2.1%
94.3312
2.1%
93.7612
2.1%
93.5612
2.1%

SIM_TotalWeight
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)8.3%
Missing360
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean94.25338235
Minimum92.18
Maximum96.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:50.615675image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum92.18
5-th percentile92.18
Q193.5
median94.25
Q394.95
95-th percentile96.2
Maximum96.2
Range4.02
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.195334045
Coefficient of variation (CV)0.01268213421
Kurtosis-0.857965367
Mean94.25338235
Median Absolute Deviation (MAD)0.75
Skewness0.07578422286
Sum19227.69
Variance1.428823479
MonotonicityNot monotonic
2022-10-25T10:09:50.717656image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
94.3113
 
2.3%
92.7812
 
2.1%
92.5612
 
2.1%
94.2512
 
2.1%
94.0512
 
2.1%
96.0512
 
2.1%
96.1512
 
2.1%
94.6212
 
2.1%
94.5812
 
2.1%
93.8812
 
2.1%
Other values (7)83
 
14.7%
(Missing)360
63.8%
ValueCountFrequency (%)
92.1812
2.1%
92.5612
2.1%
92.7812
2.1%
93.0112
2.1%
93.511
2.0%
ValueCountFrequency (%)
96.212
2.1%
96.1512
2.1%
96.0512
2.1%
95.312
2.1%
94.9512
2.1%

SIM_InjectionPressureMax
Real number (ℝ≥0)

MISSING

Distinct13
Distinct (%)6.4%
Missing360
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean222.2964706
Minimum147.16
Maximum314.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:50.795098image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum147.16
5-th percentile147.16
Q1192
median200
Q3247.79
95-th percentile314.05
Maximum314.05
Range166.89
Interquartile range (IQR)55.79

Descriptive statistics

Standard deviation44.72299371
Coefficient of variation (CV)0.2011862518
Kurtosis-0.1914908499
Mean222.2964706
Median Absolute Deviation (MAD)36.52
Skewness0.6020223739
Sum45348.48
Variance2000.146167
MonotonicityNot monotonic
2022-10-25T10:09:50.886954image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20048
 
8.5%
314.0524
 
4.3%
247.1512
 
2.1%
250.2212
 
2.1%
23812
 
2.1%
236.5212
 
2.1%
249.0912
 
2.1%
247.7912
 
2.1%
186.6512
 
2.1%
19212
 
2.1%
Other values (3)36
 
6.4%
(Missing)360
63.8%
ValueCountFrequency (%)
147.1612
2.1%
172.312
2.1%
184.0612
2.1%
186.6512
2.1%
19212
2.1%
ValueCountFrequency (%)
314.0524
4.3%
250.2212
2.1%
249.0912
2.1%
247.7912
2.1%
247.1512
2.1%

SIM_InjectionPressureArea
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)8.3%
Missing360
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean2121.330686
Minimum1163.86
Maximum3414.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:50.970862image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum1163.86
5-th percentile1163.86
Q11758.31
median2182.41
Q32452.74
95-th percentile3414.08
Maximum3414.08
Range2250.22
Interquartile range (IQR)694.43

Descriptive statistics

Standard deviation676.3914635
Coefficient of variation (CV)0.3188524391
Kurtosis-0.7906084515
Mean2121.330686
Median Absolute Deviation (MAD)424.1
Skewness0.2079938086
Sum432751.46
Variance457505.4119
MonotonicityNot monotonic
2022-10-25T10:09:51.044395image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3414.0813
 
2.3%
2171.5712
 
2.1%
1172.2712
 
2.1%
2871.2312
 
2.1%
1873.5112
 
2.1%
1758.3112
 
2.1%
2747.8612
 
2.1%
1163.8612
 
2.1%
2182.4112
 
2.1%
1806.2212
 
2.1%
Other values (7)83
 
14.7%
(Missing)360
63.8%
ValueCountFrequency (%)
1163.8612
2.1%
1172.2712
2.1%
1229.3712
2.1%
1244.6812
2.1%
1758.3112
2.1%
ValueCountFrequency (%)
3414.0813
2.3%
3196.3612
2.1%
2871.2312
2.1%
2747.8612
2.1%
2452.7411
2.0%

SIM_FlowRateMax
Real number (ℝ≥0)

MISSING

Distinct5
Distinct (%)2.5%
Missing360
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean51.50941176
Minimum13.14
Maximum88.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:51.130438image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum13.14
5-th percentile13.14
Q113.14
median51.98
Q388.45
95-th percentile88.45
Maximum88.45
Range75.31
Interquartile range (IQR)75.31

Descriptive statistics

Standard deviation36.00051978
Coefficient of variation (CV)0.698911491
Kurtosis-1.946079321
Mean51.50941176
Median Absolute Deviation (MAD)36.47
Skewness-0.01007900438
Sum10507.92
Variance1296.037424
MonotonicityNot monotonic
2022-10-25T10:09:51.209390image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
88.4596
 
17.0%
13.1472
 
12.8%
51.9812
 
2.1%
20.9512
 
2.1%
16.2912
 
2.1%
(Missing)360
63.8%
ValueCountFrequency (%)
13.1472
12.8%
16.2912
 
2.1%
20.9512
 
2.1%
51.9812
 
2.1%
88.4596
17.0%
ValueCountFrequency (%)
88.4596
17.0%
51.9812
 
2.1%
20.9512
 
2.1%
16.2912
 
2.1%
13.1472
12.8%

SIM_FlowRateArea
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)8.3%
Missing360
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean126.7072549
Minimum120.26
Maximum133.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:51.279653image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum120.26
5-th percentile120.26
Q1123.64
median127.74
Q3129.33
95-th percentile133.53
Maximum133.53
Range13.27
Interquartile range (IQR)5.69

Descriptive statistics

Standard deviation3.96608483
Coefficient of variation (CV)0.03130116609
Kurtosis-0.9584234593
Mean126.7072549
Median Absolute Deviation (MAD)2.37
Skewness-0.2680605936
Sum25848.28
Variance15.72982888
MonotonicityNot monotonic
2022-10-25T10:09:51.373780image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
126.413
 
2.3%
130.2712
 
2.1%
128.6412
 
2.1%
133.5312
 
2.1%
128.0812
 
2.1%
129.3312
 
2.1%
132.1212
 
2.1%
129.2312
 
2.1%
129.4112
 
2.1%
127.7412
 
2.1%
Other values (7)83
 
14.7%
(Missing)360
63.8%
ValueCountFrequency (%)
120.2612
2.1%
120.4712
2.1%
120.9611
2.0%
121.3912
2.1%
123.6412
2.1%
ValueCountFrequency (%)
133.5312
2.1%
132.1212
2.1%
130.2712
2.1%
129.4112
2.1%
129.3312
2.1%

SIM_VolumeFractionMax
Real number (ℝ≥0)

CONSTANT
MISSING
REJECTED

Distinct1
Distinct (%)0.5%
Missing360
Missing (%)63.8%
Infinite0
Infinite (%)0.0%
Mean100
Minimum100
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:51.469895image/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
Sum20400
Variance0
MonotonicityIncreasing
2022-10-25T10:09:51.546928image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
100204
36.2%
(Missing)360
63.8%
ValueCountFrequency (%)
100204
36.2%
ValueCountFrequency (%)
100204
36.2%

DXP_AreaCavityPressure
Real number (ℝ≥0)

Distinct549
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2088.349291
Minimum156
Maximum6220.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:51.645612image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum156
5-th percentile183.2
Q1919.95
median1369
Q33218.25
95-th percentile6127.695
Maximum6220.3
Range6064.3
Interquartile range (IQR)2298.3

Descriptive statistics

Standard deviation1651.069564
Coefficient of variation (CV)0.7906098715
Kurtosis0.1008772287
Mean2088.349291
Median Absolute Deviation (MAD)901.75
Skewness0.980441121
Sum1177829
Variance2726030.707
MonotonicityNot monotonic
2022-10-25T10:09:51.756456image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1184.63
 
0.5%
26272
 
0.4%
6208.72
 
0.4%
1269.32
 
0.4%
3082.52
 
0.4%
1194.72
 
0.4%
1174.12
 
0.4%
1197.32
 
0.4%
192.12
 
0.4%
1062.42
 
0.4%
Other values (539)543
96.3%
ValueCountFrequency (%)
1561
0.2%
164.51
0.2%
165.31
0.2%
165.51
0.2%
1661
0.2%
ValueCountFrequency (%)
6220.31
0.2%
6208.91
0.2%
6208.72
0.4%
6208.11
0.2%
6204.11
0.2%

DXP_HoldingPressure1
Real number (ℝ≥0)

Distinct86
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203.3299645
Minimum56.2
Maximum350.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:51.865238image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum56.2
5-th percentile57.6
Q1124.4
median198.4
Q3298.2
95-th percentile350.5
Maximum350.6
Range294.4
Interquartile range (IQR)173.8

Descriptive statistics

Standard deviation95.53972906
Coefficient of variation (CV)0.4698753048
Kurtosis-0.9418627862
Mean203.3299645
Median Absolute Deviation (MAD)76.95
Skewness0.02858975165
Sum114678.1
Variance9127.839829
MonotonicityNot monotonic
2022-10-25T10:09:51.967804image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
350.539
 
6.9%
200.125
 
4.4%
298.223
 
4.1%
350.421
 
3.7%
350.120
 
3.5%
199.816
 
2.8%
193.116
 
2.8%
199.915
 
2.7%
199.714
 
2.5%
200.512
 
2.1%
Other values (76)363
64.4%
ValueCountFrequency (%)
56.23
0.5%
56.33
0.5%
56.43
0.5%
56.51
 
0.2%
56.61
 
0.2%
ValueCountFrequency (%)
350.612
 
2.1%
350.539
6.9%
350.421
3.7%
350.22
 
0.4%
350.120
3.5%

DXP_HoldingPressure2
Real number (ℝ≥0)

ZEROS

Distinct31
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.75106383
Minimum0
Maximum199.9
Zeros346
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:52.072472image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q331.1
95-th percentile32.7
Maximum199.9
Range199.9
Interquartile range (IQR)31.1

Descriptive statistics

Standard deviation18.94251795
Coefficient of variation (CV)1.485563731
Kurtosis31.66016793
Mean12.75106383
Median Absolute Deviation (MAD)0
Skewness3.621151299
Sum7191.6
Variance358.8189864
MonotonicityNot monotonic
2022-10-25T10:09:52.170680image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0346
61.3%
32.732
 
5.7%
29.516
 
2.8%
32.614
 
2.5%
3313
 
2.3%
30.412
 
2.1%
31.811
 
2.0%
31.511
 
2.0%
30.211
 
2.0%
32.211
 
2.0%
Other values (21)87
 
15.4%
ValueCountFrequency (%)
0346
61.3%
29.31
 
0.2%
29.516
 
2.8%
29.65
 
0.9%
29.71
 
0.2%
ValueCountFrequency (%)
199.91
 
0.2%
199.81
 
0.2%
3313
2.3%
32.81
 
0.2%
32.732
5.7%

DXP_HoldingTime1
Real number (ℝ≥0)

Distinct9
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.56471631
Minimum7
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:52.276571image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q17
median17.5
Q325
95-th percentile25
Maximum25
Range18
Interquartile range (IQR)18

Descriptive statistics

Standard deviation8.064560528
Coefficient of variation (CV)0.486851714
Kurtosis-1.763904297
Mean16.56471631
Median Absolute Deviation (MAD)7.5
Skewness-0.1628026995
Sum9342.5
Variance65.03713651
MonotonicityNot monotonic
2022-10-25T10:09:52.355513image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
25226
40.1%
7152
27.0%
7.164
 
11.3%
17.548
 
8.5%
1536
 
6.4%
2024
 
4.3%
22.512
 
2.1%
21.81
 
0.2%
22.31
 
0.2%
ValueCountFrequency (%)
7152
27.0%
7.164
11.3%
1536
 
6.4%
17.548
 
8.5%
2024
 
4.3%
ValueCountFrequency (%)
25226
40.1%
22.512
 
2.1%
22.31
 
0.2%
21.81
 
0.2%
2024
 
4.3%

DXP_HoldingTime2
Real number (ℝ≥0)

ZEROS

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.89751773
Minimum0
Maximum18
Zeros346
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:52.442389image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q318
95-th percentile18
Maximum18
Range18
Interquartile range (IQR)18

Descriptive statistics

Standard deviation8.743023255
Coefficient of variation (CV)1.267560824
Kurtosis-1.773083596
Mean6.89751773
Median Absolute Deviation (MAD)0
Skewness0.481648424
Sum3890.2
Variance76.44045564
MonotonicityNot monotonic
2022-10-25T10:09:52.514121image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0346
61.3%
18179
31.7%
17.937
 
6.6%
3.21
 
0.2%
2.71
 
0.2%
ValueCountFrequency (%)
0346
61.3%
2.71
 
0.2%
3.21
 
0.2%
17.937
 
6.6%
18179
31.7%
ValueCountFrequency (%)
18179
31.7%
17.937
 
6.6%
3.21
 
0.2%
2.71
 
0.2%
0346
61.3%

CV_Warpage
Real number (ℝ≥0)

Distinct185
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9075
Minimum0.05
Maximum7.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:52.607923image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.05
5-th percentile0.14
Q10.47
median0.815
Q31.2575
95-th percentile1.937
Maximum7.1
Range7.05
Interquartile range (IQR)0.7875

Descriptive statistics

Standard deviation0.5976635607
Coefficient of variation (CV)0.658582436
Kurtosis19.41514068
Mean0.9075
Median Absolute Deviation (MAD)0.355
Skewness2.375435609
Sum511.83
Variance0.3572017318
MonotonicityNot monotonic
2022-10-25T10:09:52.749751image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4915
 
2.7%
0.813
 
2.3%
0.4613
 
2.3%
0.8910
 
1.8%
0.9410
 
1.8%
0.789
 
1.6%
0.779
 
1.6%
0.769
 
1.6%
1.069
 
1.6%
0.888
 
1.4%
Other values (175)459
81.4%
ValueCountFrequency (%)
0.051
 
0.2%
0.061
 
0.2%
0.082
 
0.4%
0.095
0.9%
0.16
1.1%
ValueCountFrequency (%)
7.11
0.2%
2.691
0.2%
2.271
0.2%
2.242
0.4%
2.231
0.2%

IR_Img1TempSprue
Real number (ℝ≥0)

Distinct489
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.75078014
Minimum34.39
Maximum112.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:52.860995image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum34.39
5-th percentile38.819
Q144.545
median66.665
Q377.36
95-th percentile92.5125
Maximum112.92
Range78.53
Interquartile range (IQR)32.815

Descriptive statistics

Standard deviation20.13955862
Coefficient of variation (CV)0.3159107791
Kurtosis-0.8306004577
Mean63.75078014
Median Absolute Deviation (MAD)21.01
Skewness0.4190477173
Sum35955.44
Variance405.6018214
MonotonicityNot monotonic
2022-10-25T10:09:52.974429image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.474
 
0.7%
43.883
 
0.5%
43.843
 
0.5%
45.523
 
0.5%
51.423
 
0.5%
62.963
 
0.5%
39.212
 
0.4%
66.972
 
0.4%
45.542
 
0.4%
45.392
 
0.4%
Other values (479)537
95.2%
ValueCountFrequency (%)
34.391
0.2%
34.961
0.2%
35.182
0.4%
35.211
0.2%
35.221
0.2%
ValueCountFrequency (%)
112.921
0.2%
112.71
0.2%
112.611
0.2%
112.592
0.4%
112.551
0.2%

IR_Img2TempSprue
Real number (ℝ≥0)

Distinct498
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.18058511
Minimum34.68
Maximum117.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:53.095365image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum34.68
5-th percentile40.0045
Q144.1075
median64.955
Q375.4375
95-th percentile89.1985
Maximum117.6
Range82.92
Interquartile range (IQR)31.33

Descriptive statistics

Standard deviation19.29892347
Coefficient of variation (CV)0.3054565487
Kurtosis-0.3755508257
Mean63.18058511
Median Absolute Deviation (MAD)18.26
Skewness0.5180601458
Sum35633.85
Variance372.4484471
MonotonicityNot monotonic
2022-10-25T10:09:53.201032image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.043
 
0.5%
43.463
 
0.5%
86.83
 
0.5%
46.663
 
0.5%
41.043
 
0.5%
40.33
 
0.5%
68.172
 
0.4%
67.772
 
0.4%
82.932
 
0.4%
51.962
 
0.4%
Other values (488)538
95.4%
ValueCountFrequency (%)
34.681
0.2%
35.271
0.2%
35.781
0.2%
35.791
0.2%
35.811
0.2%
ValueCountFrequency (%)
117.61
0.2%
117.231
0.2%
117.161
0.2%
117.071
0.2%
116.991
0.2%

IR_Img3TempSprue
Real number (ℝ≥0)

MISSING

Distinct357
Distinct (%)87.5%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean57.7657598
Minimum34.28
Maximum85.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:53.312785image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum34.28
5-th percentile37.2775
Q141.99
median55.465
Q372.3025
95-th percentile84.322
Maximum85.53
Range51.25
Interquartile range (IQR)30.3125

Descriptive statistics

Standard deviation17.08174603
Coefficient of variation (CV)0.2957071125
Kurtosis-1.458194131
Mean57.7657598
Median Absolute Deviation (MAD)14.97
Skewness0.321876177
Sum23568.43
Variance291.7860476
MonotonicityNot monotonic
2022-10-25T10:09:53.426529image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42.163
 
0.5%
40.143
 
0.5%
40.133
 
0.5%
82.122
 
0.4%
65.352
 
0.4%
40.392
 
0.4%
82.732
 
0.4%
40.022
 
0.4%
39.992
 
0.4%
37.182
 
0.4%
Other values (347)385
68.3%
(Missing)156
27.7%
ValueCountFrequency (%)
34.281
0.2%
34.561
0.2%
35.391
0.2%
35.461
0.2%
35.491
0.2%
ValueCountFrequency (%)
85.531
0.2%
85.311
0.2%
85.291
0.2%
85.051
0.2%
85.041
0.2%

IR_Img1TempDome
Real number (ℝ≥0)

Distinct476
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.60549645
Minimum34.81
Maximum92.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:53.529550image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum34.81
5-th percentile35.92
Q141.5275
median55.11
Q369.4825
95-th percentile90.967
Maximum92.85
Range58.04
Interquartile range (IQR)27.955

Descriptive statistics

Standard deviation19.45924992
Coefficient of variation (CV)0.3320379674
Kurtosis-1.148750744
Mean58.60549645
Median Absolute Deviation (MAD)13.84
Skewness0.5074325446
Sum33053.5
Variance378.6624074
MonotonicityNot monotonic
2022-10-25T10:09:53.640339image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.235
 
0.9%
433
 
0.5%
64.623
 
0.5%
35.923
 
0.5%
43.443
 
0.5%
56.643
 
0.5%
89.112
 
0.4%
42.962
 
0.4%
65.642
 
0.4%
69.832
 
0.4%
Other values (466)536
95.0%
ValueCountFrequency (%)
34.811
0.2%
34.861
0.2%
34.891
0.2%
34.951
0.2%
34.961
0.2%
ValueCountFrequency (%)
92.851
0.2%
92.721
0.2%
92.671
0.2%
92.651
0.2%
92.611
0.2%

IR_Img2TempDome
Real number (ℝ≥0)

Distinct485
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.44074468
Minimum33.94
Maximum86.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:53.747252image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum33.94
5-th percentile35.1015
Q139.8375
median52.32
Q365.4825
95-th percentile84.2585
Maximum86.31
Range52.37
Interquartile range (IQR)25.645

Descriptive statistics

Standard deviation17.56922053
Coefficient of variation (CV)0.3169008755
Kurtosis-1.193034694
Mean55.44074468
Median Absolute Deviation (MAD)12.845
Skewness0.4799527789
Sum31268.58
Variance308.6775099
MonotonicityNot monotonic
2022-10-25T10:09:53.857794image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.834
 
0.7%
36.684
 
0.7%
65.394
 
0.7%
76.963
 
0.5%
53.463
 
0.5%
52.323
 
0.5%
36.613
 
0.5%
37.723
 
0.5%
57.462
 
0.4%
57.282
 
0.4%
Other values (475)533
94.5%
ValueCountFrequency (%)
33.941
0.2%
34.011
0.2%
34.092
0.4%
34.121
0.2%
34.131
0.2%
ValueCountFrequency (%)
86.311
0.2%
86.231
0.2%
86.041
0.2%
85.881
0.2%
85.71
0.2%

IR_Img3TempDome
Real number (ℝ≥0)

MISSING

Distinct345
Distinct (%)84.6%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean53.8379902
Minimum33.22
Maximum81.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:53.966784image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum33.22
5-th percentile33.757
Q138.635
median52.33
Q363.38
95-th percentile80.498
Maximum81.55
Range48.33
Interquartile range (IQR)24.745

Descriptive statistics

Standard deviation17.05337879
Coefficient of variation (CV)0.3167536293
Kurtosis-1.376869015
Mean53.8379902
Median Absolute Deviation (MAD)13.62
Skewness0.3960470561
Sum21965.9
Variance290.8177281
MonotonicityNot monotonic
2022-10-25T10:09:54.079965image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.543
 
0.5%
58.943
 
0.5%
58.793
 
0.5%
58.233
 
0.5%
39.673
 
0.5%
38.663
 
0.5%
77.733
 
0.5%
38.773
 
0.5%
80.842
 
0.4%
33.42
 
0.4%
Other values (335)380
67.4%
(Missing)156
27.7%
ValueCountFrequency (%)
33.221
0.2%
33.341
0.2%
33.371
0.2%
33.391
0.2%
33.42
0.4%
ValueCountFrequency (%)
81.551
0.2%
81.321
0.2%
81.261
0.2%
81.241
0.2%
81.181
0.2%

IR_Img1TempFull
Real number (ℝ≥0)

Distinct482
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.57260638
Minimum29.69
Maximum85.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:54.186980image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum29.69
5-th percentile30.1915
Q136.71
median50.275
Q362.1175
95-th percentile84.487
Maximum85.59
Range55.9
Interquartile range (IQR)25.4075

Descriptive statistics

Standard deviation18.96141241
Coefficient of variation (CV)0.36067096
Kurtosis-1.110091396
Mean52.57260638
Median Absolute Deviation (MAD)13.23
Skewness0.5254459952
Sum29650.95
Variance359.5351607
MonotonicityNot monotonic
2022-10-25T10:09:54.294025image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.155
 
0.9%
29.884
 
0.7%
84.214
 
0.7%
37.743
 
0.5%
59.973
 
0.5%
37.593
 
0.5%
29.943
 
0.5%
62.183
 
0.5%
65.093
 
0.5%
84.463
 
0.5%
Other values (472)530
94.0%
ValueCountFrequency (%)
29.691
0.2%
29.741
0.2%
29.781
0.2%
29.831
0.2%
29.851
0.2%
ValueCountFrequency (%)
85.591
0.2%
85.51
0.2%
85.482
0.4%
85.441
0.2%
85.431
0.2%

IR_Img2TempFull
Real number (ℝ≥0)

Distinct470
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.70932624
Minimum29.38
Maximum80.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:54.389011image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum29.38
5-th percentile29.8945
Q135.6075
median48.695
Q359.9425
95-th percentile79.6185
Maximum80.89
Range51.51
Interquartile range (IQR)24.335

Descriptive statistics

Standard deviation17.48675636
Coefficient of variation (CV)0.3448430033
Kurtosis-1.138721197
Mean50.70932624
Median Absolute Deviation (MAD)12.755
Skewness0.506208177
Sum28600.06
Variance305.7866479
MonotonicityNot monotonic
2022-10-25T10:09:54.516546image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.744
 
0.7%
29.544
 
0.7%
35.944
 
0.7%
57.843
 
0.5%
32.763
 
0.5%
36.973
 
0.5%
79.333
 
0.5%
79.43
 
0.5%
36.583
 
0.5%
37.83
 
0.5%
Other values (460)531
94.1%
ValueCountFrequency (%)
29.381
 
0.2%
29.491
 
0.2%
29.544
0.7%
29.552
0.4%
29.561
 
0.2%
ValueCountFrequency (%)
80.891
0.2%
80.871
0.2%
80.811
0.2%
80.81
0.2%
80.751
0.2%

IR_Img3TempFull
Real number (ℝ≥0)

MISSING

Distinct343
Distinct (%)84.1%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean49.36367647
Minimum28.91
Maximum76.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:54.620489image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum28.91
5-th percentile29.35
Q134.635
median47.36
Q357.8625
95-th percentile76.1795
Maximum76.77
Range47.86
Interquartile range (IQR)23.2275

Descriptive statistics

Standard deviation17.10829232
Coefficient of variation (CV)0.3465765425
Kurtosis-1.315405063
Mean49.36367647
Median Absolute Deviation (MAD)12.62
Skewness0.4339529352
Sum20140.38
Variance292.6936661
MonotonicityNot monotonic
2022-10-25T10:09:54.732559image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.043
 
0.5%
75.483
 
0.5%
75.583
 
0.5%
54.43
 
0.5%
76.583
 
0.5%
29.163
 
0.5%
74.213
 
0.5%
75.293
 
0.5%
55.872
 
0.4%
75.092
 
0.4%
Other values (333)380
67.4%
(Missing)156
27.7%
ValueCountFrequency (%)
28.911
0.2%
29.071
0.2%
29.081
0.2%
29.11
0.2%
29.112
0.4%
ValueCountFrequency (%)
76.771
 
0.2%
76.761
 
0.2%
76.631
 
0.2%
76.583
0.5%
76.561
 
0.2%

IR_Img1TempEdgeHor
Real number (ℝ≥0)

Distinct443
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.8731383
Minimum32.06
Maximum94.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:54.854870image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum32.06
5-th percentile34.346
Q140.4275
median57.085
Q369.015
95-th percentile89.46
Maximum94.43
Range62.37
Interquartile range (IQR)28.5875

Descriptive statistics

Standard deviation19.56858848
Coefficient of variation (CV)0.3381290362
Kurtosis-1.16366709
Mean57.8731383
Median Absolute Deviation (MAD)16.53
Skewness0.4432622395
Sum32640.45
Variance382.929655
MonotonicityNot monotonic
2022-10-25T10:09:54.966231image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.476
 
1.1%
87.934
 
0.7%
63.974
 
0.7%
39.44
 
0.7%
40.443
 
0.5%
40.423
 
0.5%
32.23
 
0.5%
40.583
 
0.5%
40.613
 
0.5%
65.563
 
0.5%
Other values (433)528
93.6%
ValueCountFrequency (%)
32.061
 
0.2%
32.171
 
0.2%
32.191
 
0.2%
32.23
0.5%
32.221
 
0.2%
ValueCountFrequency (%)
94.431
0.2%
94.361
0.2%
94.292
0.4%
94.282
0.4%
94.232
0.4%

IR_Img2TempEdgeHor
Real number (ℝ≥0)

Distinct469
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.77468085
Minimum32.12
Maximum95.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:55.090255image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum32.12
5-th percentile34.5265
Q139.8675
median56.045
Q367.7275
95-th percentile86.3125
Maximum95.78
Range63.66
Interquartile range (IQR)27.86

Descriptive statistics

Standard deviation18.59104982
Coefficient of variation (CV)0.3274531805
Kurtosis-1.106215946
Mean56.77468085
Median Absolute Deviation (MAD)15.78
Skewness0.450786115
Sum32020.92
Variance345.6271333
MonotonicityNot monotonic
2022-10-25T10:09:55.206653image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.714
 
0.7%
40.343
 
0.5%
39.63
 
0.5%
41.423
 
0.5%
40.433
 
0.5%
40.073
 
0.5%
84.423
 
0.5%
39.693
 
0.5%
52.533
 
0.5%
40.283
 
0.5%
Other values (459)533
94.5%
ValueCountFrequency (%)
32.121
0.2%
32.192
0.4%
32.231
0.2%
32.261
0.2%
32.271
0.2%
ValueCountFrequency (%)
95.781
0.2%
95.691
0.2%
95.671
0.2%
95.661
0.2%
95.581
0.2%

IR_Img3TempEdgeHor
Real number (ℝ≥0)

MISSING

Distinct351
Distinct (%)86.0%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean54.21323529
Minimum31.63
Maximum83.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:55.317815image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum31.63
5-th percentile32.694
Q138.485
median52.4
Q365.7
95-th percentile82.653
Maximum83.45
Range51.82
Interquartile range (IQR)27.215

Descriptive statistics

Standard deviation18.18539505
Coefficient of variation (CV)0.335441981
Kurtosis-1.389427971
Mean54.21323529
Median Absolute Deviation (MAD)13.75
Skewness0.383228374
Sum22119
Variance330.7085929
MonotonicityNot monotonic
2022-10-25T10:09:55.433787image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.943
 
0.5%
39.053
 
0.5%
60.773
 
0.5%
38.963
 
0.5%
57.952
 
0.4%
81.562
 
0.4%
582
 
0.4%
81.432
 
0.4%
82.772
 
0.4%
35.462
 
0.4%
Other values (341)384
68.1%
(Missing)156
27.7%
ValueCountFrequency (%)
31.631
0.2%
31.731
0.2%
31.762
0.4%
31.81
0.2%
31.811
0.2%
ValueCountFrequency (%)
83.451
0.2%
83.411
0.2%
83.41
0.2%
83.362
0.4%
83.341
0.2%

IR_Img1TempEdgeVer
Real number (ℝ≥0)

Distinct484
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.80306738
Minimum30.51
Maximum87.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:55.529748image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum30.51
5-th percentile31.476
Q136.81
median50.85
Q365.2875
95-th percentile85.9655
Maximum87.07
Range56.56
Interquartile range (IQR)28.4775

Descriptive statistics

Standard deviation19.35768426
Coefficient of variation (CV)0.3597877446
Kurtosis-1.195974459
Mean53.80306738
Median Absolute Deviation (MAD)14.155
Skewness0.4855560209
Sum30344.93
Variance374.71994
MonotonicityNot monotonic
2022-10-25T10:09:55.645545image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.44
 
0.7%
42.653
 
0.5%
85.443
 
0.5%
76.653
 
0.5%
38.163
 
0.5%
62.733
 
0.5%
85.163
 
0.5%
33.93
 
0.5%
33.553
 
0.5%
38.133
 
0.5%
Other values (474)533
94.5%
ValueCountFrequency (%)
30.511
0.2%
30.61
0.2%
30.651
0.2%
30.672
0.4%
30.681
0.2%
ValueCountFrequency (%)
87.072
0.4%
87.051
0.2%
86.942
0.4%
86.931
0.2%
86.922
0.4%

IR_Img2TempEdgeVer
Real number (ℝ≥0)

Distinct474
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.49271277
Minimum30.18
Maximum81.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:55.750709image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum30.18
5-th percentile31.013
Q135.905
median48.94
Q362.425
95-th percentile80.094
Maximum81.17
Range50.99
Interquartile range (IQR)26.52

Descriptive statistics

Standard deviation17.4888313
Coefficient of variation (CV)0.3396370158
Kurtosis-1.22974746
Mean51.49271277
Median Absolute Deviation (MAD)13.05
Skewness0.4621162646
Sum29041.89
Variance305.8592202
MonotonicityNot monotonic
2022-10-25T10:09:55.857684image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44.664
 
0.7%
35.894
 
0.7%
79.613
 
0.5%
79.33
 
0.5%
36.463
 
0.5%
79.483
 
0.5%
59.723
 
0.5%
78.413
 
0.5%
79.693
 
0.5%
36.142
 
0.4%
Other values (464)533
94.5%
ValueCountFrequency (%)
30.181
0.2%
30.31
0.2%
30.341
0.2%
30.381
0.2%
30.391
0.2%
ValueCountFrequency (%)
81.171
0.2%
81.162
0.4%
81.021
0.2%
80.981
0.2%
80.961
0.2%

IR_Img3TempEdgeVer
Real number (ℝ≥0)

MISSING

Distinct342
Distinct (%)83.8%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean49.89477941
Minimum29.59
Maximum77.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:55.951724image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum29.59
5-th percentile30.217
Q134.9125
median48.415
Q359.8625
95-th percentile76.0455
Maximum77.01
Range47.42
Interquartile range (IQR)24.95

Descriptive statistics

Standard deviation17.02818548
Coefficient of variation (CV)0.3412819072
Kurtosis-1.391685931
Mean49.89477941
Median Absolute Deviation (MAD)13.435
Skewness0.3909326937
Sum20357.07
Variance289.9591007
MonotonicityNot monotonic
2022-10-25T10:09:56.061351image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.363
 
0.5%
55.393
 
0.5%
35.573
 
0.5%
30.233
 
0.5%
75.133
 
0.5%
76.323
 
0.5%
30.33
 
0.5%
34.473
 
0.5%
35.242
 
0.4%
35.052
 
0.4%
Other values (332)380
67.4%
(Missing)156
27.7%
ValueCountFrequency (%)
29.591
0.2%
29.711
0.2%
29.751
0.2%
29.771
0.2%
29.782
0.4%
ValueCountFrequency (%)
77.011
0.2%
76.91
0.2%
76.851
0.2%
76.752
0.4%
76.681
0.2%

IR_Img1TempGradHorStd
Real number (ℝ≥0)

Distinct392
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09274929078
Minimum0.0469
Maximum0.2381
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:56.170443image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0469
5-th percentile0.0529
Q10.059075
median0.07225
Q30.129375
95-th percentile0.18237
Maximum0.2381
Range0.1912
Interquartile range (IQR)0.0703

Descriptive statistics

Standard deviation0.04438464582
Coefficient of variation (CV)0.478544315
Kurtosis-0.1699145723
Mean0.09274929078
Median Absolute Deviation (MAD)0.01475
Skewness1.082906343
Sum52.3106
Variance0.001969996785
MonotonicityNot monotonic
2022-10-25T10:09:56.279487image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05846
 
1.1%
0.07545
 
0.9%
0.05895
 
0.9%
0.07024
 
0.7%
0.06534
 
0.7%
0.0594
 
0.7%
0.07244
 
0.7%
0.05754
 
0.7%
0.07754
 
0.7%
0.07854
 
0.7%
Other values (382)520
92.2%
ValueCountFrequency (%)
0.04691
0.2%
0.04811
0.2%
0.04841
0.2%
0.04881
0.2%
0.04911
0.2%
ValueCountFrequency (%)
0.23811
0.2%
0.23221
0.2%
0.20891
0.2%
0.20521
0.2%
0.20311
0.2%

IR_Img2TempGradHorStd
Real number (ℝ≥0)

Distinct360
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0931285461
Minimum0.0491
Maximum0.2559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:56.413197image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0491
5-th percentile0.0568
Q10.0634
median0.0707
Q30.127325
95-th percentile0.18087
Maximum0.2559
Range0.2068
Interquartile range (IQR)0.063925

Descriptive statistics

Standard deviation0.0432509401
Coefficient of variation (CV)0.4644219406
Kurtosis0.03397672497
Mean0.0931285461
Median Absolute Deviation (MAD)0.00925
Skewness1.179639029
Sum52.5245
Variance0.00187064382
MonotonicityNot monotonic
2022-10-25T10:09:56.529349image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06256
 
1.1%
0.06885
 
0.9%
0.06595
 
0.9%
0.06875
 
0.9%
0.0665
 
0.9%
0.06334
 
0.7%
0.07054
 
0.7%
0.07184
 
0.7%
0.0674
 
0.7%
0.05934
 
0.7%
Other values (350)518
91.8%
ValueCountFrequency (%)
0.04911
0.2%
0.05021
0.2%
0.05111
0.2%
0.05221
0.2%
0.05231
0.2%
ValueCountFrequency (%)
0.25591
0.2%
0.23631
0.2%
0.21841
0.2%
0.2021
0.2%
0.19861
0.2%

IR_Img3TempGradHorStd
Real number (ℝ≥0)

MISSING

Distinct206
Distinct (%)50.5%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean0.06991151961
Minimum0.0478
Maximum0.1806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:56.643207image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0478
5-th percentile0.05877
Q10.0639
median0.06765
Q30.0726
95-th percentile0.08336
Maximum0.1806
Range0.1328
Interquartile range (IQR)0.0087

Descriptive statistics

Standard deviation0.01359154382
Coefficient of variation (CV)0.1944106479
Kurtosis33.42162461
Mean0.06991151961
Median Absolute Deviation (MAD)0.0041
Skewness5.023636803
Sum28.5239
Variance0.0001847300635
MonotonicityNot monotonic
2022-10-25T10:09:56.764217image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06747
 
1.2%
0.06656
 
1.1%
0.06586
 
1.1%
0.06376
 
1.1%
0.06646
 
1.1%
0.06345
 
0.9%
0.06575
 
0.9%
0.07085
 
0.9%
0.074
 
0.7%
0.05874
 
0.7%
Other values (196)354
62.8%
(Missing)156
27.7%
ValueCountFrequency (%)
0.04781
0.2%
0.04941
0.2%
0.04961
0.2%
0.05151
0.2%
0.05231
0.2%
ValueCountFrequency (%)
0.18061
0.2%
0.17761
0.2%
0.16481
0.2%
0.161
0.2%
0.14891
0.2%

IR_Img1TempGradHorRng
Real number (ℝ≥0)

Distinct28
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5490248227
Minimum0.2
Maximum1.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:56.868227image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.3
Q10.35
median0.4
Q30.7125
95-th percentile1.15
Maximum1.6
Range1.4
Interquartile range (IQR)0.3625

Descriptive statistics

Standard deviation0.2888298302
Coefficient of variation (CV)0.526077908
Kurtosis0.628997527
Mean0.5490248227
Median Absolute Deviation (MAD)0.1
Skewness1.230549768
Sum309.65
Variance0.08342267079
MonotonicityNot monotonic
2022-10-25T10:09:56.962725image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.35109
19.3%
0.389
15.8%
0.467
11.9%
0.4540
 
7.1%
0.539
 
6.9%
0.2522
 
3.9%
0.7521
 
3.7%
0.720
 
3.5%
0.8518
 
3.2%
1.1517
 
3.0%
Other values (18)122
21.6%
ValueCountFrequency (%)
0.21
 
0.2%
0.2522
 
3.9%
0.389
15.8%
0.35109
19.3%
0.467
11.9%
ValueCountFrequency (%)
1.62
0.4%
1.51
 
0.2%
1.451
 
0.2%
1.41
 
0.2%
1.353
0.5%

IR_Img2TempGradHorRng
Real number (ℝ≥0)

Distinct25
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5490248227
Minimum0.25
Maximum1.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:57.055698image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.25
5-th percentile0.3
Q10.35
median0.425
Q30.7
95-th percentile1.1
Maximum1.8
Range1.55
Interquartile range (IQR)0.35

Descriptive statistics

Standard deviation0.2663547883
Coefficient of variation (CV)0.4851416135
Kurtosis0.837092141
Mean0.5490248227
Median Absolute Deviation (MAD)0.075
Skewness1.264688974
Sum309.65
Variance0.07094487327
MonotonicityNot monotonic
2022-10-25T10:09:57.145760image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.35117
20.7%
0.4103
18.3%
0.354
9.6%
0.4552
9.2%
0.534
 
6.0%
0.5520
 
3.5%
119
 
3.4%
0.918
 
3.2%
0.9516
 
2.8%
0.8516
 
2.8%
Other values (15)115
20.4%
ValueCountFrequency (%)
0.258
 
1.4%
0.354
9.6%
0.35117
20.7%
0.4103
18.3%
0.4552
9.2%
ValueCountFrequency (%)
1.81
 
0.2%
1.451
 
0.2%
1.351
 
0.2%
1.32
0.4%
1.253
0.5%

IR_Img3TempGradHorRng
Real number (ℝ≥0)

MISSING

Distinct15
Distinct (%)3.7%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean0.412622549
Minimum0.25
Maximum1.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:57.232283image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.25
5-th percentile0.3
Q10.35
median0.4
Q30.45
95-th percentile0.6
Maximum1.2
Range0.95
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.108230052
Coefficient of variation (CV)0.262297958
Kurtosis16.94149875
Mean0.412622549
Median Absolute Deviation (MAD)0.05
Skewness3.271007011
Sum168.35
Variance0.01171374416
MonotonicityNot monotonic
2022-10-25T10:09:57.317858image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.35127
22.5%
0.4106
18.8%
0.4567
11.9%
0.340
 
7.1%
0.533
 
5.9%
0.610
 
1.8%
0.5510
 
1.8%
0.74
 
0.7%
0.653
 
0.5%
0.252
 
0.4%
Other values (5)6
 
1.1%
(Missing)156
27.7%
ValueCountFrequency (%)
0.252
 
0.4%
0.340
 
7.1%
0.35127
22.5%
0.4106
18.8%
0.4567
11.9%
ValueCountFrequency (%)
1.21
0.2%
1.11
0.2%
1.052
0.4%
0.951
0.2%
0.751
0.2%

IR_Img1TempGradVerStd
Real number (ℝ≥0)

Distinct465
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1660200355
Minimum0.0504
Maximum1.378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:57.413689image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0504
5-th percentile0.065
Q10.077575
median0.09565
Q30.204525
95-th percentile0.34575
Maximum1.378
Range1.3276
Interquartile range (IQR)0.12695

Descriptive statistics

Standard deviation0.1737975966
Coefficient of variation (CV)1.046847124
Kurtosis23.73079938
Mean0.1660200355
Median Absolute Deviation (MAD)0.02995
Skewness4.460614196
Sum93.6353
Variance0.03020560459
MonotonicityNot monotonic
2022-10-25T10:09:57.529591image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.07844
 
0.7%
0.07494
 
0.7%
0.08684
 
0.7%
0.07234
 
0.7%
0.08044
 
0.7%
0.07734
 
0.7%
0.06993
 
0.5%
0.07793
 
0.5%
0.06393
 
0.5%
0.07973
 
0.5%
Other values (455)528
93.6%
ValueCountFrequency (%)
0.05041
0.2%
0.05271
0.2%
0.05391
0.2%
0.05631
0.2%
0.0581
0.2%
ValueCountFrequency (%)
1.3781
0.2%
1.37181
0.2%
1.21651
0.2%
1.16541
0.2%
1.15771
0.2%

IR_Img2TempGradVerStd
Real number (ℝ≥0)

Distinct441
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1436157801
Minimum0.0541
Maximum1.2871
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:57.638619image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0541
5-th percentile0.062515
Q10.075475
median0.0961
Q30.19085
95-th percentile0.300925
Maximum1.2871
Range1.233
Interquartile range (IQR)0.115375

Descriptive statistics

Standard deviation0.1179544169
Coefficient of variation (CV)0.8213193338
Kurtosis26.24860672
Mean0.1436157801
Median Absolute Deviation (MAD)0.0299
Skewness4.13648569
Sum80.9993
Variance0.01391324446
MonotonicityNot monotonic
2022-10-25T10:09:57.771638image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06715
 
0.9%
0.07824
 
0.7%
0.07414
 
0.7%
0.07894
 
0.7%
0.08044
 
0.7%
0.07123
 
0.5%
0.08343
 
0.5%
0.05633
 
0.5%
0.09043
 
0.5%
0.06493
 
0.5%
Other values (431)528
93.6%
ValueCountFrequency (%)
0.05411
 
0.2%
0.0551
 
0.2%
0.05582
0.4%
0.05611
 
0.2%
0.05633
0.5%
ValueCountFrequency (%)
1.28711
0.2%
0.99581
0.2%
0.76451
0.2%
0.71541
0.2%
0.70631
0.2%

IR_Img3TempGradVerStd
Real number (ℝ≥0)

MISSING

Distinct280
Distinct (%)68.6%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean0.09146568627
Minimum0.0513
Maximum0.1985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:57.873349image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0513
5-th percentile0.0646
Q10.075775
median0.0862
Q30.0986
95-th percentile0.14332
Maximum0.1985
Range0.1472
Interquartile range (IQR)0.022825

Descriptive statistics

Standard deviation0.02496313053
Coefficient of variation (CV)0.2729234487
Kurtosis4.140896615
Mean0.09146568627
Median Absolute Deviation (MAD)0.0113
Skewness1.846407541
Sum37.318
Variance0.000623157886
MonotonicityNot monotonic
2022-10-25T10:09:57.997887image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08777
 
1.2%
0.0745
 
0.9%
0.08555
 
0.9%
0.08624
 
0.7%
0.06994
 
0.7%
0.07734
 
0.7%
0.08564
 
0.7%
0.09313
 
0.5%
0.08173
 
0.5%
0.09043
 
0.5%
Other values (270)366
64.9%
(Missing)156
27.7%
ValueCountFrequency (%)
0.05131
0.2%
0.05631
0.2%
0.05641
0.2%
0.05741
0.2%
0.05931
0.2%
ValueCountFrequency (%)
0.19851
0.2%
0.19581
0.2%
0.19381
0.2%
0.19191
0.2%
0.18631
0.2%

IR_Img1TempGradVerRng
Real number (ℝ≥0)

Distinct51
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7479609929
Minimum0.2
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:58.114493image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.25
Q10.35
median0.45
Q30.9
95-th percentile1.6425
Maximum8
Range7.8
Interquartile range (IQR)0.55

Descriptive statistics

Standard deviation0.8285107819
Coefficient of variation (CV)1.1076925
Kurtosis29.4420399
Mean0.7479609929
Median Absolute Deviation (MAD)0.15
Skewness4.829533996
Sum421.85
Variance0.6864301157
MonotonicityNot monotonic
2022-10-25T10:09:58.222111image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.386
15.2%
0.3582
14.5%
0.453
 
9.4%
0.2534
 
6.0%
0.4529
 
5.1%
0.822
 
3.9%
0.522
 
3.9%
0.8521
 
3.7%
0.9521
 
3.7%
0.920
 
3.5%
Other values (41)174
30.9%
ValueCountFrequency (%)
0.24
 
0.7%
0.2534
 
6.0%
0.386
15.2%
0.3582
14.5%
0.453
9.4%
ValueCountFrequency (%)
81
0.2%
7.41
0.2%
5.81
0.2%
5.751
0.2%
5.21
0.2%

IR_Img2TempGradVerRng
Real number (ℝ≥0)

Distinct40
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6591312057
Minimum0.2
Maximum8.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:58.343172image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.25
Q10.35
median0.45
Q30.85
95-th percentile1.3
Maximum8.25
Range8.05
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.6434331131
Coefficient of variation (CV)0.9761836605
Kurtosis49.32201101
Mean0.6591312057
Median Absolute Deviation (MAD)0.15
Skewness5.757527244
Sum371.75
Variance0.414006171
MonotonicityNot monotonic
2022-10-25T10:09:58.444023image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0.388
15.6%
0.3580
14.2%
0.446
 
8.2%
0.2543
 
7.6%
0.4534
 
6.0%
0.8524
 
4.3%
0.5522
 
3.9%
0.9522
 
3.9%
0.522
 
3.9%
0.7518
 
3.2%
Other values (30)165
29.3%
ValueCountFrequency (%)
0.26
 
1.1%
0.2543
7.6%
0.388
15.6%
0.3580
14.2%
0.446
8.2%
ValueCountFrequency (%)
8.251
0.2%
61
0.2%
4.651
0.2%
4.051
0.2%
3.91
0.2%

IR_Img3TempGradVerRng
Real number (ℝ≥0)

MISSING

Distinct17
Distinct (%)4.2%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean0.4072303922
Minimum0.15
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:58.544579image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.15
5-th percentile0.25
Q10.3
median0.35
Q30.45
95-th percentile0.65
Maximum1
Range0.85
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.1343029172
Coefficient of variation (CV)0.3297959086
Kurtosis4.214299198
Mean0.4072303922
Median Absolute Deviation (MAD)0.05
Skewness1.740107041
Sum166.15
Variance0.01803727357
MonotonicityNot monotonic
2022-10-25T10:09:58.624558image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.3596
17.0%
0.372
12.8%
0.467
11.9%
0.4548
 
8.5%
0.2534
 
6.0%
0.528
 
5.0%
0.5524
 
4.3%
0.610
 
1.8%
0.657
 
1.2%
0.757
 
1.2%
Other values (7)15
 
2.7%
(Missing)156
27.7%
ValueCountFrequency (%)
0.151
 
0.2%
0.22
 
0.4%
0.2534
 
6.0%
0.372
12.8%
0.3596
17.0%
ValueCountFrequency (%)
12
 
0.4%
0.954
0.7%
0.92
 
0.4%
0.81
 
0.2%
0.757
1.2%

IR_Img1TempVerStd
Real number (ℝ≥0)

Distinct545
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6872487589
Minimum0.1438
Maximum8.2466
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:58.728521image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.1438
5-th percentile0.188715
Q10.28895
median0.52405
Q30.68195
95-th percentile1.13737
Maximum8.2466
Range8.1028
Interquartile range (IQR)0.393

Descriptive statistics

Standard deviation1.064592501
Coefficient of variation (CV)1.549064276
Kurtosis36.25163578
Mean0.6872487589
Median Absolute Deviation (MAD)0.19925
Skewness5.945714794
Sum387.6083
Variance1.133357194
MonotonicityNot monotonic
2022-10-25T10:09:58.841647image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.27543
 
0.5%
0.44862
 
0.4%
0.25722
 
0.4%
0.51322
 
0.4%
0.24572
 
0.4%
0.412
 
0.4%
0.60592
 
0.4%
0.22322
 
0.4%
0.26962
 
0.4%
0.18482
 
0.4%
Other values (535)543
96.3%
ValueCountFrequency (%)
0.14381
0.2%
0.1451
0.2%
0.14851
0.2%
0.15481
0.2%
0.15931
0.2%
ValueCountFrequency (%)
8.24661
0.2%
7.85031
0.2%
7.76271
0.2%
7.68011
0.2%
7.61441
0.2%

IR_Img2TempVerStd
Real number (ℝ≥0)

Distinct543
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7259196809
Minimum0.1007
Maximum5.1811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:58.955286image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.1007
5-th percentile0.22289
Q10.315775
median0.61395
Q30.9164
95-th percentile1.354895
Maximum5.1811
Range5.0804
Interquartile range (IQR)0.600625

Descriptive statistics

Standard deviation0.6974596846
Coefficient of variation (CV)0.9607945658
Kurtosis22.67437917
Mean0.7259196809
Median Absolute Deviation (MAD)0.3
Skewness4.316941069
Sum409.4187
Variance0.4864500116
MonotonicityNot monotonic
2022-10-25T10:09:59.072248image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.253
 
0.5%
0.34992
 
0.4%
0.31142
 
0.4%
0.26592
 
0.4%
0.30122
 
0.4%
0.59552
 
0.4%
0.27492
 
0.4%
1.04042
 
0.4%
0.27772
 
0.4%
0.25572
 
0.4%
Other values (533)543
96.3%
ValueCountFrequency (%)
0.10071
0.2%
0.10131
0.2%
0.10611
0.2%
0.10831
0.2%
0.10851
0.2%
ValueCountFrequency (%)
5.18111
0.2%
4.91041
0.2%
4.87131
0.2%
4.86061
0.2%
4.85031
0.2%

IR_Img3TempVerStd
Real number (ℝ≥0)

MISSING

Distinct389
Distinct (%)95.3%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean0.588582598
Minimum0.1061
Maximum1.448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:59.169775image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.1061
5-th percentile0.210755
Q10.2994
median0.444
Q30.833525
95-th percentile1.267435
Maximum1.448
Range1.3419
Interquartile range (IQR)0.534125

Descriptive statistics

Standard deviation0.3628306044
Coefficient of variation (CV)0.6164480663
Kurtosis-0.811862464
Mean0.588582598
Median Absolute Deviation (MAD)0.1817
Skewness0.7738599956
Sum240.1417
Variance0.1316460475
MonotonicityNot monotonic
2022-10-25T10:09:59.301755image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.28032
 
0.4%
1.25812
 
0.4%
0.25872
 
0.4%
1.00292
 
0.4%
0.26052
 
0.4%
0.31952
 
0.4%
0.31222
 
0.4%
0.86812
 
0.4%
0.54262
 
0.4%
0.78872
 
0.4%
Other values (379)388
68.8%
(Missing)156
27.7%
ValueCountFrequency (%)
0.10611
0.2%
0.12451
0.2%
0.13151
0.2%
0.13691
0.2%
0.14151
0.2%
ValueCountFrequency (%)
1.4481
0.2%
1.40641
0.2%
1.39431
0.2%
1.35831
0.2%
1.34761
0.2%

IR_Img1TempVerRng
Real number (ℝ≥0)

Distinct68
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.714893617
Minimum0.6
Maximum24.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:59.404439image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile0.8
Q11.3
median2.1
Q32.8
95-th percentile5.27
Maximum24.4
Range23.8
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation3.263783422
Coefficient of variation (CV)1.202177279
Kurtosis29.85022172
Mean2.714893617
Median Absolute Deviation (MAD)0.8
Skewness5.228335818
Sum1531.2
Variance10.65228223
MonotonicityNot monotonic
2022-10-25T10:09:59.520718image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.139
 
6.9%
1.228
 
5.0%
226
 
4.6%
2.626
 
4.6%
121
 
3.7%
1.921
 
3.7%
2.120
 
3.5%
2.820
 
3.5%
1.320
 
3.5%
2.319
 
3.4%
Other values (58)324
57.4%
ValueCountFrequency (%)
0.65
 
0.9%
0.710
1.8%
0.817
3.0%
0.917
3.0%
121
3.7%
ValueCountFrequency (%)
24.41
0.2%
24.11
0.2%
23.81
0.2%
23.71
0.2%
23.31
0.2%

IR_Img2TempVerRng
Real number (ℝ≥0)

Distinct74
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.87393617
Minimum0.4
Maximum15.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:59.625738image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile1
Q11.4
median2.45
Q33.8
95-th percentile5.785
Maximum15.1
Range14.7
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation2.209002597
Coefficient of variation (CV)0.7686331449
Kurtosis12.89685521
Mean2.87393617
Median Absolute Deviation (MAD)1.15
Skewness3.041076507
Sum1620.9
Variance4.879692472
MonotonicityNot monotonic
2022-10-25T10:09:59.737460image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.136
 
6.4%
1.235
 
6.2%
1.324
 
4.3%
1.421
 
3.7%
1.519
 
3.4%
3.919
 
3.4%
218
 
3.2%
3.618
 
3.2%
118
 
3.2%
3.417
 
3.0%
Other values (64)339
60.1%
ValueCountFrequency (%)
0.44
 
0.7%
0.55
0.9%
0.63
 
0.5%
0.83
 
0.5%
0.912
2.1%
ValueCountFrequency (%)
15.11
0.2%
14.91
0.2%
14.71
0.2%
14.61
0.2%
14.41
0.2%

IR_Img3TempVerRng
Real number (ℝ≥0)

MISSING

Distinct52
Distinct (%)12.7%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean2.438235294
Minimum0.5
Maximum5.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:09:59.841701image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.9
Q11.2
median1.8
Q33.6
95-th percentile5.1
Maximum5.8
Range5.3
Interquartile range (IQR)2.4

Descriptive statistics

Standard deviation1.463649246
Coefficient of variation (CV)0.6002904023
Kurtosis-0.9894415677
Mean2.438235294
Median Absolute Deviation (MAD)0.8
Skewness0.6809679137
Sum994.8
Variance2.142269114
MonotonicityNot monotonic
2022-10-25T10:09:59.955920image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.335
 
6.2%
1.234
 
6.0%
1.126
 
4.6%
1.423
 
4.1%
0.914
 
2.5%
113
 
2.3%
4.613
 
2.3%
1.611
 
2.0%
211
 
2.0%
1.911
 
2.0%
Other values (42)217
38.5%
(Missing)156
27.7%
ValueCountFrequency (%)
0.52
 
0.4%
0.62
 
0.4%
0.77
1.2%
0.89
1.6%
0.914
2.5%
ValueCountFrequency (%)
5.81
 
0.2%
5.62
 
0.4%
5.41
 
0.2%
5.36
1.1%
5.28
1.4%

IR_Img1TempSprueDiff
Real number (ℝ)

Distinct490
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.67177305
Minimum-25.56
Maximum61.44
Zeros0
Zeros (%)0.0%
Negative240
Negative (%)42.6%
Memory size4.5 KiB
2022-10-25T10:10:00.071867image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-25.56
5-th percentile-23.88
Q1-12.22
median12.85
Q322.1725
95-th percentile31.1825
Maximum61.44
Range87
Interquartile range (IQR)34.3925

Descriptive statistics

Standard deviation20.55642778
Coefficient of variation (CV)3.081104172
Kurtosis-0.3888333736
Mean6.67177305
Median Absolute Deviation (MAD)12.9
Skewness0.1699130486
Sum3762.88
Variance422.566723
MonotonicityNot monotonic
2022-10-25T10:10:00.173914image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.054
 
0.7%
11.483
 
0.5%
17.063
 
0.5%
-16.163
 
0.5%
-5.833
 
0.5%
22.243
 
0.5%
30.993
 
0.5%
23.853
 
0.5%
-23.093
 
0.5%
17.213
 
0.5%
Other values (480)533
94.5%
ValueCountFrequency (%)
-25.561
0.2%
-25.491
0.2%
-25.471
0.2%
-25.441
0.2%
-25.421
0.2%
ValueCountFrequency (%)
61.441
0.2%
61.231
0.2%
61.141
0.2%
61.121
0.2%
61.111
0.2%

IR_Img2TempSprueDiff
Real number (ℝ)

Distinct499
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.10106383
Minimum-26.05
Maximum66.13
Zeros2
Zeros (%)0.4%
Negative208
Negative (%)36.9%
Memory size4.5 KiB
2022-10-25T10:10:00.279726image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-26.05
5-th percentile-24.024
Q1-11.1825
median13.485
Q318.9125
95-th percentile31.5865
Maximum66.13
Range92.18
Interquartile range (IQR)30.095

Descriptive statistics

Standard deviation20.17731231
Coefficient of variation (CV)3.30717935
Kurtosis0.1868885391
Mean6.10106383
Median Absolute Deviation (MAD)12.955
Skewness0.2996162661
Sum3441
Variance407.1239321
MonotonicityNot monotonic
2022-10-25T10:10:00.389174image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.443
 
0.5%
-23.513
 
0.5%
-11.443
 
0.5%
16.993
 
0.5%
-11.313
 
0.5%
21.382
 
0.4%
-23.632
 
0.4%
-23.492
 
0.4%
-11.182
 
0.4%
-11.212
 
0.4%
Other values (489)539
95.6%
ValueCountFrequency (%)
-26.051
0.2%
-26.011
0.2%
-25.991
0.2%
-25.932
0.4%
-25.921
0.2%
ValueCountFrequency (%)
66.131
0.2%
65.761
0.2%
65.681
0.2%
65.591
0.2%
65.511
0.2%

IR_Img3TempSprueDiff
Real number (ℝ)

MISSING

Distinct364
Distinct (%)89.2%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean-1.456397059
Minimum-27.24
Maximum21.55
Zeros0
Zeros (%)0.0%
Negative216
Negative (%)38.3%
Memory size4.5 KiB
2022-10-25T10:10:00.493962image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-27.24
5-th percentile-26.606
Q1-15.9475
median-2.485
Q314.655
95-th percentile19.4675
Maximum21.55
Range48.79
Interquartile range (IQR)30.6025

Descriptive statistics

Standard deviation16.71602925
Coefficient of variation (CV)-11.4776593
Kurtosis-1.554734802
Mean-1.456397059
Median Absolute Deviation (MAD)16.895
Skewness-0.2002128333
Sum-594.21
Variance279.4256339
MonotonicityNot monotonic
2022-10-25T10:10:00.605318image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-5.183
 
0.5%
13.073
 
0.5%
-24.813
 
0.5%
17.422
 
0.4%
-26.832
 
0.4%
-26.982
 
0.4%
-14.292
 
0.4%
-26.772
 
0.4%
-4.972
 
0.4%
-5.212
 
0.4%
Other values (354)385
68.3%
(Missing)156
27.7%
ValueCountFrequency (%)
-27.241
0.2%
-27.161
0.2%
-27.141
0.2%
-27.091
0.2%
-27.071
0.2%
ValueCountFrequency (%)
21.551
0.2%
21.471
0.2%
21.231
0.2%
21.151
0.2%
21.021
0.2%

IR_Img1TempDomeDiff
Real number (ℝ)

Distinct486
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.269202128
Minimum-25.29
Maximum38.2
Zeros2
Zeros (%)0.4%
Negative276
Negative (%)48.9%
Memory size4.5 KiB
2022-10-25T10:10:00.701174image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-25.29
5-th percentile-24.135
Q1-13.6475
median0.05
Q318.7825
95-th percentile26.3255
Maximum38.2
Range63.49
Interquartile range (IQR)32.43

Descriptive statistics

Standard deviation18.51728494
Coefficient of variation (CV)8.16026246
Kurtosis-1.38873561
Mean2.269202128
Median Absolute Deviation (MAD)16.63
Skewness0.0354586548
Sum1279.83
Variance342.8898415
MonotonicityNot monotonic
2022-10-25T10:10:00.820141image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-12.475
 
0.9%
-12.534
 
0.7%
13.923
 
0.5%
-14.783
 
0.5%
-0.013
 
0.5%
5.943
 
0.5%
-22.843
 
0.5%
13.842
 
0.4%
24.672
 
0.4%
02
 
0.4%
Other values (476)534
94.7%
ValueCountFrequency (%)
-25.291
0.2%
-25.242
0.4%
-25.21
0.2%
-25.191
0.2%
-25.171
0.2%
ValueCountFrequency (%)
38.21
0.2%
38.171
0.2%
38.161
0.2%
38.151
0.2%
38.141
0.2%

IR_Img2TempDomeDiff
Real number (ℝ)

Distinct495
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8955496454
Minimum-27.3
Maximum33.82
Zeros0
Zeros (%)0.0%
Negative288
Negative (%)51.1%
Memory size4.5 KiB
2022-10-25T10:10:00.930103image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-27.3
5-th percentile-26.2985
Q1-14.595
median-1.98
Q314.7825
95-th percentile19.4055
Maximum33.82
Range61.12
Interquartile range (IQR)29.3775

Descriptive statistics

Standard deviation16.95671758
Coefficient of variation (CV)-18.93442498
Kurtosis-1.295334716
Mean-0.8955496454
Median Absolute Deviation (MAD)15.295
Skewness-0.03331420598
Sum-505.09
Variance287.5302709
MonotonicityNot monotonic
2022-10-25T10:10:01.029591image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-14.024
 
0.7%
14.694
 
0.7%
-12.983
 
0.5%
17.53
 
0.5%
1.623
 
0.5%
26.263
 
0.5%
2.763
 
0.5%
17.433
 
0.5%
17.622
 
0.4%
-13.892
 
0.4%
Other values (485)534
94.7%
ValueCountFrequency (%)
-27.31
0.2%
-27.291
0.2%
-27.251
0.2%
-27.221
0.2%
-27.21
0.2%
ValueCountFrequency (%)
33.821
0.2%
33.681
0.2%
33.551
0.2%
33.541
0.2%
33.321
0.2%

IR_Img3TempDomeDiff
Real number (ℝ)

MISSING

Distinct349
Distinct (%)85.5%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean-4.653259804
Minimum-28.57
Maximum15.27
Zeros0
Zeros (%)0.0%
Negative216
Negative (%)38.3%
Memory size4.5 KiB
2022-10-25T10:10:01.138710image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-28.57
5-th percentile-27.72
Q1-17.2625
median-5.445
Q312.0525
95-th percentile14.218
Maximum15.27
Range43.84
Interquartile range (IQR)29.315

Descriptive statistics

Standard deviation16.2691283
Coefficient of variation (CV)-3.496286256
Kurtosis-1.640197161
Mean-4.653259804
Median Absolute Deviation (MAD)17.215
Skewness-0.172432137
Sum-1898.53
Variance264.6845355
MonotonicityNot monotonic
2022-10-25T10:10:01.255628image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.173
 
0.5%
7.533
 
0.5%
13.183
 
0.5%
-27.513
 
0.5%
10.832
 
0.4%
12.072
 
0.4%
12.372
 
0.4%
11.452
 
0.4%
11.482
 
0.4%
-7.522
 
0.4%
Other values (339)384
68.1%
(Missing)156
27.7%
ValueCountFrequency (%)
-28.571
0.2%
-28.521
0.2%
-28.491
0.2%
-28.461
0.2%
-28.411
0.2%
ValueCountFrequency (%)
15.271
0.2%
15.031
0.2%
14.981
0.2%
14.961
0.2%
14.91
0.2%

IR_Img1TempFullDiff
Real number (ℝ)

Distinct475
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.841276596
Minimum-23.72
Maximum37.41
Zeros0
Zeros (%)0.0%
Negative264
Negative (%)46.8%
Memory size4.5 KiB
2022-10-25T10:10:01.360501image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-23.72
5-th percentile-22.837
Q1-12.5025
median0.61
Q318.325
95-th percentile25.2185
Maximum37.41
Range61.13
Interquartile range (IQR)30.8275

Descriptive statistics

Standard deviation17.92596663
Coefficient of variation (CV)6.309124096
Kurtosis-1.383089071
Mean2.841276596
Median Absolute Deviation (MAD)15.38
Skewness0.01294780659
Sum1602.48
Variance321.3402797
MonotonicityNot monotonic
2022-10-25T10:10:01.466813image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-10.645
 
0.9%
14.754
 
0.7%
-13.923
 
0.5%
21.33
 
0.5%
-22.473
 
0.5%
16.183
 
0.5%
23.853
 
0.5%
-13.853
 
0.5%
23.883
 
0.5%
-10.622
 
0.4%
Other values (465)532
94.3%
ValueCountFrequency (%)
-23.721
0.2%
-23.71
0.2%
-23.691
0.2%
-23.671
0.2%
-23.652
0.4%
ValueCountFrequency (%)
37.411
0.2%
37.391
0.2%
37.381
0.2%
37.321
0.2%
37.311
0.2%

IR_Img2TempFullDiff
Real number (ℝ)

Distinct469
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9781028369
Minimum-24.82
Maximum35.16
Zeros0
Zeros (%)0.0%
Negative288
Negative (%)51.1%
Memory size4.5 KiB
2022-10-25T10:10:01.578897image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-24.82
5-th percentile-23.9525
Q1-12.765
median-0.525
Q316.1525
95-th percentile20.524
Maximum35.16
Range59.98
Interquartile range (IQR)28.9175

Descriptive statistics

Standard deviation16.73466912
Coefficient of variation (CV)17.10931457
Kurtosis-1.280446431
Mean0.9781028369
Median Absolute Deviation (MAD)14.39
Skewness-0.0381447438
Sum551.65
Variance280.0491504
MonotonicityNot monotonic
2022-10-25T10:10:01.684948image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.834
 
0.7%
-14.254
 
0.7%
18.194
 
0.7%
19.193
 
0.5%
-11.083
 
0.5%
18.463
 
0.5%
-2.343
 
0.5%
-23.693
 
0.5%
4.93
 
0.5%
-2.393
 
0.5%
Other values (459)531
94.1%
ValueCountFrequency (%)
-24.821
0.2%
-24.762
0.4%
-24.752
0.4%
-24.721
0.2%
-24.641
0.2%
ValueCountFrequency (%)
35.161
0.2%
35.11
0.2%
35.071
0.2%
351
0.2%
34.982
0.4%

IR_Img3TempFullDiff
Real number (ℝ)

MISSING

Distinct341
Distinct (%)83.6%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean-2.638455882
Minimum-25.74
Maximum16.56
Zeros0
Zeros (%)0.0%
Negative216
Negative (%)38.3%
Memory size4.5 KiB
2022-10-25T10:10:01.793351image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-25.74
5-th percentile-25.1765
Q1-14.665
median-3.25
Q313.9775
95-th percentile15.966
Maximum16.56
Range42.3
Interquartile range (IQR)28.6425

Descriptive statistics

Standard deviation16.04336044
Coefficient of variation (CV)-6.080586961
Kurtosis-1.653976179
Mean-2.638455882
Median Absolute Deviation (MAD)16.95
Skewness-0.1606680475
Sum-1076.49
Variance257.3894141
MonotonicityNot monotonic
2022-10-25T10:10:01.897619image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.073
 
0.5%
14.193
 
0.5%
14.153
 
0.5%
10.613
 
0.5%
143
 
0.5%
10.82
 
0.4%
12.072
 
0.4%
13.662
 
0.4%
-4.672
 
0.4%
15.392
 
0.4%
Other values (331)383
67.9%
(Missing)156
27.7%
ValueCountFrequency (%)
-25.741
0.2%
-25.71
0.2%
-25.681
0.2%
-25.671
0.2%
-25.651
0.2%
ValueCountFrequency (%)
16.561
0.2%
16.541
0.2%
16.421
0.2%
16.372
0.4%
16.361
0.2%

IR_Img1TempEdgeHorDiff
Real number (ℝ)

Distinct477
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.660975177
Minimum-25.15
Maximum45.78
Zeros1
Zeros (%)0.2%
Negative253
Negative (%)44.9%
Memory size4.5 KiB
2022-10-25T10:10:01.998585image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-25.15
5-th percentile-23.857
Q1-13.9925
median3.555
Q320.375
95-th percentile25.957
Maximum45.78
Range70.93
Interquartile range (IQR)34.3675

Descriptive statistics

Standard deviation19.09403017
Coefficient of variation (CV)5.215558491
Kurtosis-1.125382944
Mean3.660975177
Median Absolute Deviation (MAD)16.88
Skewness0.04650440789
Sum2064.79
Variance364.5819882
MonotonicityNot monotonic
2022-10-25T10:10:02.107493image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-8.174
 
0.7%
-24.653
 
0.5%
17.763
 
0.5%
24.373
 
0.5%
-0.013
 
0.5%
-16.443
 
0.5%
23.893
 
0.5%
-23.593
 
0.5%
3.62
 
0.4%
16.692
 
0.4%
Other values (467)535
94.9%
ValueCountFrequency (%)
-25.151
0.2%
-25.141
0.2%
-25.131
0.2%
-25.121
0.2%
-25.111
0.2%
ValueCountFrequency (%)
45.781
0.2%
45.721
0.2%
45.652
0.4%
45.642
0.4%
45.591
0.2%

IR_Img2TempEdgeHorDiff
Real number (ℝ)

Distinct478
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.562429078
Minimum-25.99
Maximum47.14
Zeros0
Zeros (%)0.0%
Negative264
Negative (%)46.8%
Memory size4.5 KiB
2022-10-25T10:10:02.228989image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-25.99
5-th percentile-24.651
Q1-13.8225
median3.905
Q318.915
95-th percentile22.68
Maximum47.14
Range73.13
Interquartile range (IQR)32.7375

Descriptive statistics

Standard deviation18.40350975
Coefficient of variation (CV)7.182056241
Kurtosis-0.8927762693
Mean2.562429078
Median Absolute Deviation (MAD)15.545
Skewness0.05979916667
Sum1445.21
Variance338.6891712
MonotonicityNot monotonic
2022-10-25T10:10:02.342546image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.423
 
0.5%
20.493
 
0.5%
-22.623
 
0.5%
-8.363
 
0.5%
3.893
 
0.5%
20.223
 
0.5%
19.113
 
0.5%
20.383
 
0.5%
-24.353
 
0.5%
3.12
 
0.4%
Other values (468)535
94.9%
ValueCountFrequency (%)
-25.991
0.2%
-25.941
0.2%
-25.912
0.4%
-25.91
0.2%
-25.861
0.2%
ValueCountFrequency (%)
47.141
0.2%
47.051
0.2%
47.031
0.2%
47.021
0.2%
46.931
0.2%

IR_Img3TempEdgeHorDiff
Real number (ℝ)

MISSING

Distinct354
Distinct (%)86.8%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean-2.128553922
Minimum-26.88
Maximum19.41
Zeros0
Zeros (%)0.0%
Negative216
Negative (%)38.3%
Memory size4.5 KiB
2022-10-25T10:10:02.451727image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-26.88
5-th percentile-26.26
Q1-16.8
median-2.965
Q315.8675
95-th percentile18.603
Maximum19.41
Range46.29
Interquartile range (IQR)32.6675

Descriptive statistics

Standard deviation17.28799521
Coefficient of variation (CV)-8.121943747
Kurtosis-1.671814128
Mean-2.128553922
Median Absolute Deviation (MAD)18.725
Skewness-0.1234652341
Sum-868.45
Variance298.8747785
MonotonicityNot monotonic
2022-10-25T10:10:02.560755image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.363
 
0.5%
12.133
 
0.5%
-25.083
 
0.5%
17.133
 
0.5%
16.92
 
0.4%
-9.32
 
0.4%
11.912
 
0.4%
-13.182
 
0.4%
-12.992
 
0.4%
9.312
 
0.4%
Other values (344)384
68.1%
(Missing)156
27.7%
ValueCountFrequency (%)
-26.881
0.2%
-26.871
0.2%
-26.831
0.2%
-26.782
0.4%
-26.71
0.2%
ValueCountFrequency (%)
19.411
0.2%
19.371
0.2%
19.361
0.2%
19.321
0.2%
19.311
0.2%

IR_Img1TempEdgeVerDiff
Real number (ℝ)

Distinct488
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.201276596
Minimum-24.82
Maximum36.75
Zeros2
Zeros (%)0.4%
Negative275
Negative (%)48.8%
Memory size4.5 KiB
2022-10-25T10:10:02.654752image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-24.82
5-th percentile-23.88
Q1-13.63
median0.065
Q319.2075
95-th percentile25.5985
Maximum36.75
Range61.57
Interquartile range (IQR)32.8375

Descriptive statistics

Standard deviation18.46585361
Coefficient of variation (CV)8.388702106
Kurtosis-1.44228142
Mean2.201276596
Median Absolute Deviation (MAD)16.37
Skewness0.02126813913
Sum1241.52
Variance340.9877497
MonotonicityNot monotonic
2022-10-25T10:10:02.786997image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.434
 
0.7%
-12.763
 
0.5%
30.563
 
0.5%
-12.533
 
0.5%
24.13
 
0.5%
16.653
 
0.5%
-0.063
 
0.5%
24.063
 
0.5%
-12.183
 
0.5%
-24.072
 
0.4%
Other values (478)534
94.7%
ValueCountFrequency (%)
-24.821
0.2%
-24.811
0.2%
-24.751
0.2%
-24.731
0.2%
-24.691
0.2%
ValueCountFrequency (%)
36.751
0.2%
36.731
0.2%
36.672
0.4%
36.661
0.2%
36.581
0.2%

IR_Img2TempEdgeVerDiff
Real number (ℝ)

Distinct481
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1087411348
Minimum-26.18
Maximum34.51
Zeros0
Zeros (%)0.0%
Negative288
Negative (%)51.1%
Memory size4.5 KiB
2022-10-25T10:10:02.892598image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-26.18
5-th percentile-25.2255
Q1-13.8675
median-1.42
Q316.345
95-th percentile19.637
Maximum34.51
Range60.69
Interquartile range (IQR)30.2125

Descriptive statistics

Standard deviation16.93873997
Coefficient of variation (CV)-155.7712269
Kurtosis-1.310827163
Mean-0.1087411348
Median Absolute Deviation (MAD)15.035
Skewness-0.03737363892
Sum-61.33
Variance286.9209119
MonotonicityNot monotonic
2022-10-25T10:10:02.998222image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.424
 
0.7%
18.054
 
0.7%
17.963
 
0.5%
-25.23
 
0.5%
-25.453
 
0.5%
-24.883
 
0.5%
18.273
 
0.5%
18.213
 
0.5%
18.353
 
0.5%
18.413
 
0.5%
Other values (471)532
94.3%
ValueCountFrequency (%)
-26.181
0.2%
-26.121
0.2%
-26.111
0.2%
-26.081
0.2%
-26.021
0.2%
ValueCountFrequency (%)
34.511
0.2%
34.221
0.2%
34.151
0.2%
34.091
0.2%
34.011
0.2%

IR_Img3TempEdgeVerDiff
Real number (ℝ)

MISSING

Distinct349
Distinct (%)85.5%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean-3.817647059
Minimum-27.15
Maximum15.67
Zeros0
Zeros (%)0.0%
Negative216
Negative (%)38.3%
Memory size4.5 KiB
2022-10-25T10:10:03.109388image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum-27.15
5-th percentile-26.3965
Q1-16.27
median-4.54
Q312.9825
95-th percentile14.7055
Maximum15.67
Range42.82
Interquartile range (IQR)29.2525

Descriptive statistics

Standard deviation16.22033116
Coefficient of variation (CV)-4.248777037
Kurtosis-1.660999167
Mean-3.817647059
Median Absolute Deviation (MAD)17.43
Skewness-0.1567729365
Sum-1557.6
Variance263.0991429
MonotonicityNot monotonic
2022-10-25T10:10:03.220547image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-15.853
 
0.5%
-25.613
 
0.5%
13.643
 
0.5%
-24.923
 
0.5%
13.953
 
0.5%
7.392
 
0.4%
8.152
 
0.4%
-11.662
 
0.4%
-26.872
 
0.4%
13.852
 
0.4%
Other values (339)383
67.9%
(Missing)156
27.7%
ValueCountFrequency (%)
-27.151
0.2%
-27.122
0.4%
-27.041
0.2%
-27.011
0.2%
-26.982
0.4%
ValueCountFrequency (%)
15.671
0.2%
15.551
0.2%
15.51
0.2%
15.411
0.2%
15.41
0.2%

IR_Img1TempGradHorStdDiff
Real number (ℝ≥0)

Distinct411
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0948143617
Minimum0.0381
Maximum0.2422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:03.326183image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0381
5-th percentile0.051515
Q10.0607
median0.07255
Q30.13485
95-th percentile0.18492
Maximum0.2422
Range0.2041
Interquartile range (IQR)0.07415

Descriptive statistics

Standard deviation0.04609848739
Coefficient of variation (CV)0.4861973077
Kurtosis-0.3420208583
Mean0.0948143617
Median Absolute Deviation (MAD)0.01445
Skewness1.009405571
Sum53.4753
Variance0.002125070539
MonotonicityNot monotonic
2022-10-25T10:10:03.449206image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06275
 
0.9%
0.05875
 
0.9%
0.05934
 
0.7%
0.17094
 
0.7%
0.06014
 
0.7%
0.05334
 
0.7%
0.06494
 
0.7%
0.06324
 
0.7%
0.05994
 
0.7%
0.07154
 
0.7%
Other values (401)522
92.6%
ValueCountFrequency (%)
0.03811
0.2%
0.03861
0.2%
0.03961
0.2%
0.0421
0.2%
0.04261
0.2%
ValueCountFrequency (%)
0.24221
0.2%
0.23231
0.2%
0.21551
0.2%
0.21071
0.2%
0.20631
0.2%

IR_Img2TempGradHorStdDiff
Real number (ℝ≥0)

Distinct378
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09382163121
Minimum0.043
Maximum0.2603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:03.561314image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.043
5-th percentile0.054515
Q10.061475
median0.07085
Q30.13365
95-th percentile0.185655
Maximum0.2603
Range0.2173
Interquartile range (IQR)0.072175

Descriptive statistics

Standard deviation0.04570352595
Coefficient of variation (CV)0.4871320757
Kurtosis-0.1641676425
Mean0.09382163121
Median Absolute Deviation (MAD)0.0118
Skewness1.109511988
Sum52.9154
Variance0.002088812284
MonotonicityNot monotonic
2022-10-25T10:10:03.673522image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0616
 
1.1%
0.06466
 
1.1%
0.06555
 
0.9%
0.05915
 
0.9%
0.05895
 
0.9%
0.0565
 
0.9%
0.06385
 
0.9%
0.05694
 
0.7%
0.0724
 
0.7%
0.06744
 
0.7%
Other values (368)515
91.3%
ValueCountFrequency (%)
0.0431
0.2%
0.04591
0.2%
0.04681
0.2%
0.04831
0.2%
0.04862
0.4%
ValueCountFrequency (%)
0.26031
0.2%
0.23711
0.2%
0.21931
0.2%
0.20661
0.2%
0.20531
0.2%

IR_Img3TempGradHorStdDiff
Real number (ℝ≥0)

MISSING

Distinct237
Distinct (%)58.1%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean0.06833627451
Minimum0.0474
Maximum0.1865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:03.791267image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0474
5-th percentile0.054135
Q10.060875
median0.06575
Q30.072525
95-th percentile0.083665
Maximum0.1865
Range0.1391
Interquartile range (IQR)0.01165

Descriptive statistics

Standard deviation0.0151515881
Coefficient of variation (CV)0.2217210143
Kurtosis26.19235378
Mean0.06833627451
Median Absolute Deviation (MAD)0.0056
Skewness4.325536173
Sum27.8812
Variance0.000229570622
MonotonicityNot monotonic
2022-10-25T10:10:03.888259image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06296
 
1.1%
0.06236
 
1.1%
0.05916
 
1.1%
0.0646
 
1.1%
0.075
 
0.9%
0.06195
 
0.9%
0.06215
 
0.9%
0.06555
 
0.9%
0.06784
 
0.7%
0.0664
 
0.7%
Other values (227)356
63.1%
(Missing)156
27.7%
ValueCountFrequency (%)
0.04741
0.2%
0.04891
0.2%
0.0491
0.2%
0.04911
0.2%
0.04971
0.2%
ValueCountFrequency (%)
0.18651
0.2%
0.17781
0.2%
0.17031
0.2%
0.15981
0.2%
0.15261
0.2%

IR_Img1TempGradHorRngDiff
Real number (ℝ≥0)

Distinct188
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5560420213
Minimum0.2042
Maximum1.6667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:04.019126image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.2042
5-th percentile0.2917
Q10.3458
median0.425
Q30.77185
95-th percentile1.14937
Maximum1.6667
Range1.4625
Interquartile range (IQR)0.42605

Descriptive statistics

Standard deviation0.2917954851
Coefficient of variation (CV)0.5247723623
Kurtosis0.476711279
Mean0.5560420213
Median Absolute Deviation (MAD)0.1042
Skewness1.197737094
Sum313.6077
Variance0.0851446051
MonotonicityNot monotonic
2022-10-25T10:10:04.123027image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.312516
 
2.8%
0.308314
 
2.5%
0.329212
 
2.1%
0.395812
 
2.1%
0.37511
 
2.0%
0.345811
 
2.0%
0.32511
 
2.0%
0.362510
 
1.8%
0.42510
 
1.8%
0.379210
 
1.8%
Other values (178)447
79.3%
ValueCountFrequency (%)
0.20421
 
0.2%
0.20833
0.5%
0.22081
 
0.2%
0.2251
 
0.2%
0.23331
 
0.2%
ValueCountFrequency (%)
1.66671
0.2%
1.54581
0.2%
1.50831
0.2%
1.43751
0.2%
1.42081
0.2%

IR_Img2TempGradHorRngDiff
Real number (ℝ≥0)

Distinct180
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5488090426
Minimum0.225
Maximum1.8667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:04.253617image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.225
5-th percentile0.2958
Q10.3542
median0.4167
Q30.7375
95-th percentile1.098755
Maximum1.8667
Range1.6417
Interquartile range (IQR)0.3833

Descriptive statistics

Standard deviation0.2804503775
Coefficient of variation (CV)0.5110163204
Kurtosis0.8451180853
Mean0.5488090426
Median Absolute Deviation (MAD)0.0834
Skewness1.277574475
Sum309.5283
Variance0.07865241425
MonotonicityNot monotonic
2022-10-25T10:10:04.357773image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.358314
 
2.5%
0.366713
 
2.3%
0.379213
 
2.3%
0.383312
 
2.1%
0.333312
 
2.1%
0.345812
 
2.1%
0.433311
 
2.0%
0.395811
 
2.0%
0.416711
 
2.0%
0.341710
 
1.8%
Other values (170)445
78.9%
ValueCountFrequency (%)
0.2251
0.2%
0.24172
0.4%
0.24581
0.2%
0.251
0.2%
0.25422
0.4%
ValueCountFrequency (%)
1.86671
 
0.2%
1.651
 
0.2%
1.37081
 
0.2%
1.35421
 
0.2%
1.28333
0.5%

IR_Img3TempGradHorRngDiff
Real number (ℝ≥0)

MISSING

Distinct83
Distinct (%)20.3%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean0.3987443627
Minimum0.25
Maximum1.2167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:04.491561image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.25
5-th percentile0.29727
Q10.3375
median0.3833
Q30.425
95-th percentile0.556865
Maximum1.2167
Range0.9667
Interquartile range (IQR)0.0875

Descriptive statistics

Standard deviation0.1119489442
Coefficient of variation (CV)0.2807536725
Kurtosis22.03414502
Mean0.3987443627
Median Absolute Deviation (MAD)0.0458
Skewness3.8807082
Sum162.6877
Variance0.01253256611
MonotonicityNot monotonic
2022-10-25T10:10:04.606514image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.341720
 
3.5%
0.333318
 
3.2%
0.337515
 
2.7%
0.395815
 
2.7%
0.416713
 
2.3%
0.383313
 
2.3%
0.387512
 
2.1%
0.408312
 
2.1%
0.391711
 
2.0%
0.412511
 
2.0%
Other values (73)268
47.5%
(Missing)156
27.7%
ValueCountFrequency (%)
0.251
 
0.2%
0.25831
 
0.2%
0.26251
 
0.2%
0.26672
0.4%
0.2753
0.5%
ValueCountFrequency (%)
1.21671
0.2%
1.19581
0.2%
1.15421
0.2%
1.01671
0.2%
1.00421
0.2%

IR_Img1TempVerStdDiff
Real number (ℝ≥0)

Distinct543
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5999065603
Minimum0.0644
Maximum8.3564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:04.718540image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0644
5-th percentile0.114815
Q10.222525
median0.39
Q30.5888
95-th percentile1.05723
Maximum8.3564
Range8.292
Interquartile range (IQR)0.366275

Descriptive statistics

Standard deviation1.09258131
Coefficient of variation (CV)1.821252479
Kurtosis36.76921058
Mean0.5999065603
Median Absolute Deviation (MAD)0.1818
Skewness6.005721916
Sum338.3473
Variance1.193733919
MonotonicityNot monotonic
2022-10-25T10:10:04.826040image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.59283
 
0.5%
0.18222
 
0.4%
0.32822
 
0.4%
0.17742
 
0.4%
0.18942
 
0.4%
0.19832
 
0.4%
0.35552
 
0.4%
0.07162
 
0.4%
0.81962
 
0.4%
0.34182
 
0.4%
Other values (533)543
96.3%
ValueCountFrequency (%)
0.06441
0.2%
0.06651
0.2%
0.0711
0.2%
0.07162
0.4%
0.07191
0.2%
ValueCountFrequency (%)
8.35641
0.2%
7.97561
0.2%
7.87481
0.2%
7.80921
0.2%
7.73231
0.2%

IR_Img2TempVerStdDiff
Real number (ℝ≥0)

Distinct556
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6253349291
Minimum0.0854
Maximum5.2696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:04.936512image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0854
5-th percentile0.113405
Q10.2645
median0.5429
Q30.749375
95-th percentile1.230875
Maximum5.2696
Range5.1842
Interquartile range (IQR)0.484875

Descriptive statistics

Standard deviation0.7091675964
Coefficient of variation (CV)1.134060426
Kurtosis26.10126601
Mean0.6253349291
Median Absolute Deviation (MAD)0.2451
Skewness4.748524214
Sum352.6889
Variance0.5029186797
MonotonicityNot monotonic
2022-10-25T10:10:05.060582image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.55442
 
0.4%
0.16442
 
0.4%
0.24432
 
0.4%
0.60882
 
0.4%
0.13072
 
0.4%
0.26512
 
0.4%
0.13662
 
0.4%
0.33422
 
0.4%
0.53461
 
0.2%
0.691
 
0.2%
Other values (546)546
96.8%
ValueCountFrequency (%)
0.08541
0.2%
0.0861
0.2%
0.08611
0.2%
0.09321
0.2%
0.09521
0.2%
ValueCountFrequency (%)
5.26961
0.2%
5.02381
0.2%
4.97441
0.2%
4.97171
0.2%
4.95771
0.2%

IR_Img3TempVerStdDiff
Real number (ℝ≥0)

MISSING

Distinct394
Distinct (%)96.6%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean0.4757029412
Minimum0.0649
Maximum1.2255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:05.186535image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0649
5-th percentile0.114395
Q10.22175
median0.3986
Q30.718625
95-th percentile1.04653
Maximum1.2255
Range1.1606
Interquartile range (IQR)0.496875

Descriptive statistics

Standard deviation0.3149057701
Coefficient of variation (CV)0.6619798677
Kurtosis-0.9015414291
Mean0.4757029412
Median Absolute Deviation (MAD)0.23545
Skewness0.6158557837
Sum194.0868
Variance0.09916564402
MonotonicityNot monotonic
2022-10-25T10:10:05.310939image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.23532
 
0.4%
0.12612
 
0.4%
0.11782
 
0.4%
0.44442
 
0.4%
0.12172
 
0.4%
0.10422
 
0.4%
0.94042
 
0.4%
0.84122
 
0.4%
0.51552
 
0.4%
0.78982
 
0.4%
Other values (384)388
68.8%
(Missing)156
27.7%
ValueCountFrequency (%)
0.06491
0.2%
0.07811
0.2%
0.09331
0.2%
0.09621
0.2%
0.09721
0.2%
ValueCountFrequency (%)
1.22551
0.2%
1.18831
0.2%
1.17431
0.2%
1.15431
0.2%
1.14141
0.2%

IR_Img1TempVerRngDiff
Real number (ℝ≥0)

Distinct284
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.224266135
Minimum0.2417
Maximum24.7667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:05.426841image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.2417
5-th percentile0.501245
Q10.875
median1.45
Q32.3667
95-th percentile4.542495
Maximum24.7667
Range24.525
Interquartile range (IQR)1.4917

Descriptive statistics

Standard deviation3.345283202
Coefficient of variation (CV)1.503994126
Kurtosis32.10638278
Mean2.224266135
Median Absolute Deviation (MAD)0.675
Skewness5.48610915
Sum1254.4861
Variance11.1909197
MonotonicityNot monotonic
2022-10-25T10:10:05.529172image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.47
 
1.2%
1.39177
 
1.2%
1.37
 
1.2%
0.74177
 
1.2%
1.29176
 
1.1%
2.64175
 
0.9%
0.85835
 
0.9%
0.9255
 
0.9%
1.21675
 
0.9%
0.73335
 
0.9%
Other values (274)505
89.5%
ValueCountFrequency (%)
0.24171
0.2%
0.251
0.2%
0.25831
0.2%
0.29171
0.2%
0.3251
0.2%
ValueCountFrequency (%)
24.76671
0.2%
24.61
0.2%
24.3751
0.2%
24.21671
0.2%
23.51671
0.2%

IR_Img2TempVerRngDiff
Real number (ℝ≥0)

Distinct305
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.303916844
Minimum0.35
Maximum15.4833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:05.651325image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.35
5-th percentile0.5
Q11.0167
median2.0167
Q32.793775
95-th percentile4.942055
Maximum15.4833
Range15.1333
Interquartile range (IQR)1.777075

Descriptive statistics

Standard deviation2.206205796
Coefficient of variation (CV)0.9575891604
Kurtosis19.23373592
Mean2.303916844
Median Absolute Deviation (MAD)0.9125
Skewness3.925017744
Sum1299.4091
Variance4.867344015
MonotonicityNot monotonic
2022-10-25T10:10:05.760693image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.09178
 
1.4%
1.66677
 
1.2%
2.35837
 
1.2%
2.69176
 
1.1%
0.54176
 
1.1%
1.96676
 
1.1%
2.14176
 
1.1%
0.93336
 
1.1%
1.01676
 
1.1%
2.46
 
1.1%
Other values (295)500
88.7%
ValueCountFrequency (%)
0.351
0.2%
0.35832
0.4%
0.38331
0.2%
0.39171
0.2%
0.40832
0.4%
ValueCountFrequency (%)
15.48331
0.2%
15.21672
0.4%
15.15831
0.2%
14.90831
0.2%
14.81671
0.2%

IR_Img3TempVerRngDiff
Real number (ℝ≥0)

MISSING

Distinct193
Distinct (%)47.3%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean1.821573529
Minimum0.2833
Maximum4.5917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:05.872944image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.2833
5-th percentile0.489145
Q10.8583
median1.6333
Q32.77085
95-th percentile3.8917
Maximum4.5917
Range4.3084
Interquartile range (IQR)1.91255

Descriptive statistics

Standard deviation1.13881212
Coefficient of variation (CV)0.6251804286
Kurtosis-0.9525105861
Mean1.821573529
Median Absolute Deviation (MAD)0.8833
Skewness0.570212409
Sum743.202
Variance1.296893044
MonotonicityNot monotonic
2022-10-25T10:10:05.975626image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.39179
 
1.6%
0.85837
 
1.2%
3.79177
 
1.2%
3.99177
 
1.2%
0.54177
 
1.2%
1.63337
 
1.2%
0.56
 
1.1%
3.69176
 
1.1%
4.09176
 
1.1%
1.79176
 
1.1%
Other values (183)340
60.3%
(Missing)156
27.7%
ValueCountFrequency (%)
0.28331
0.2%
0.30831
0.2%
0.34171
0.2%
0.41
0.2%
0.40832
0.4%
ValueCountFrequency (%)
4.59171
 
0.2%
4.39172
 
0.4%
4.19171
 
0.2%
4.09176
1.1%
4.05831
 
0.2%

IR_Img1TempGradVerStdDiff
Real number (ℝ≥0)

Distinct466
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1595292553
Minimum0.0368
Maximum1.3604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:06.087761image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0368
5-th percentile0.05219
Q10.067
median0.093
Q30.2001
95-th percentile0.327835
Maximum1.3604
Range1.3236
Interquartile range (IQR)0.1331

Descriptive statistics

Standard deviation0.1750038457
Coefficient of variation (CV)1.097001584
Kurtosis23.84023762
Mean0.1595292553
Median Absolute Deviation (MAD)0.041
Skewness4.454075402
Sum89.9745
Variance0.03062634602
MonotonicityNot monotonic
2022-10-25T10:10:06.215316image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06425
 
0.9%
0.06544
 
0.7%
0.05774
 
0.7%
0.07043
 
0.5%
0.0653
 
0.5%
0.07823
 
0.5%
0.06763
 
0.5%
0.0553
 
0.5%
0.06273
 
0.5%
0.05893
 
0.5%
Other values (456)530
94.0%
ValueCountFrequency (%)
0.03681
0.2%
0.04291
0.2%
0.04351
0.2%
0.04371
0.2%
0.04561
0.2%
ValueCountFrequency (%)
1.36041
0.2%
1.35771
0.2%
1.21311
0.2%
1.18051
0.2%
1.17241
0.2%

IR_Img2TempGradVerStdDiff
Real number (ℝ≥0)

Distinct465
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1384778369
Minimum0.0457
Maximum1.2465
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:06.324490image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0457
5-th percentile0.055145
Q10.066875
median0.0901
Q30.188825
95-th percentile0.265565
Maximum1.2465
Range1.2008
Interquartile range (IQR)0.12195

Descriptive statistics

Standard deviation0.1154269907
Coefficient of variation (CV)0.8335412605
Kurtosis26.18087591
Mean0.1384778369
Median Absolute Deviation (MAD)0.03395
Skewness4.126087441
Sum78.1015
Variance0.01332339018
MonotonicityNot monotonic
2022-10-25T10:10:06.449697image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.06744
 
0.7%
0.05964
 
0.7%
0.06533
 
0.5%
0.06633
 
0.5%
0.0573
 
0.5%
0.07383
 
0.5%
0.07823
 
0.5%
0.06683
 
0.5%
0.07393
 
0.5%
0.07893
 
0.5%
Other values (455)532
94.3%
ValueCountFrequency (%)
0.04571
0.2%
0.04581
0.2%
0.04871
0.2%
0.04941
0.2%
0.04961
0.2%
ValueCountFrequency (%)
1.24651
0.2%
0.96551
0.2%
0.74881
0.2%
0.7051
0.2%
0.69241
0.2%

IR_Img3TempGradVerStdDiff
Real number (ℝ≥0)

MISSING

Distinct315
Distinct (%)77.2%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean0.09254877451
Minimum0.0464
Maximum0.2199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:06.560670image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.0464
5-th percentile0.0604
Q10.071375
median0.08125
Q30.10415
95-th percentile0.15594
Maximum0.2199
Range0.1735
Interquartile range (IQR)0.032775

Descriptive statistics

Standard deviation0.03177471525
Coefficient of variation (CV)0.3433294003
Kurtosis1.030915743
Mean0.09254877451
Median Absolute Deviation (MAD)0.0125
Skewness1.300482246
Sum37.7599
Variance0.001009632529
MonotonicityNot monotonic
2022-10-25T10:10:06.699411image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.08414
 
0.7%
0.06484
 
0.7%
0.06763
 
0.5%
0.06563
 
0.5%
0.07513
 
0.5%
0.08263
 
0.5%
0.07053
 
0.5%
0.06433
 
0.5%
0.07933
 
0.5%
0.07543
 
0.5%
Other values (305)376
66.7%
(Missing)156
27.7%
ValueCountFrequency (%)
0.04641
0.2%
0.05051
0.2%
0.05281
0.2%
0.05311
0.2%
0.05321
0.2%
ValueCountFrequency (%)
0.21991
0.2%
0.20581
0.2%
0.20281
0.2%
0.19061
0.2%
0.18441
0.2%

IR_Img1TempGradVerRngDiff
Real number (ℝ≥0)

Distinct230
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7235528369
Minimum0.1542
Maximum7.7958
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:06.824005image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.1542
5-th percentile0.22143
Q10.3
median0.4167
Q30.88855
95-th percentile1.670185
Maximum7.7958
Range7.6416
Interquartile range (IQR)0.58855

Descriptive statistics

Standard deviation0.8169258942
Coefficient of variation (CV)1.129048015
Kurtosis28.166645
Mean0.7235528369
Median Absolute Deviation (MAD)0.1917
Skewness4.671693752
Sum408.0838
Variance0.6673679166
MonotonicityNot monotonic
2022-10-25T10:10:06.935770image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.316714
 
2.5%
0.245811
 
2.0%
0.308310
 
1.8%
0.32510
 
1.8%
0.2759
 
1.6%
0.26678
 
1.4%
0.29588
 
1.4%
0.32088
 
1.4%
0.32928
 
1.4%
0.37088
 
1.4%
Other values (220)470
83.3%
ValueCountFrequency (%)
0.15421
 
0.2%
0.17922
0.4%
0.18331
 
0.2%
0.19173
0.5%
0.19582
0.4%
ValueCountFrequency (%)
7.79581
0.2%
7.24581
0.2%
5.64581
0.2%
5.59581
0.2%
5.04581
0.2%

IR_Img2TempGradVerRngDiff
Real number (ℝ≥0)

Distinct207
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6357445035
Minimum0.1958
Maximum8.0333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:07.093234image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.1958
5-th percentile0.2333
Q10.294775
median0.4167
Q30.842725
95-th percentile1.19937
Maximum8.0333
Range7.8375
Interquartile range (IQR)0.54795

Descriptive statistics

Standard deviation0.6203986975
Coefficient of variation (CV)0.9758616772
Kurtosis50.26450167
Mean0.6357445035
Median Absolute Deviation (MAD)0.1688
Skewness5.744343001
Sum358.5599
Variance0.3848945438
MonotonicityNot monotonic
2022-10-25T10:10:07.217013image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.316720
 
3.5%
0.279218
 
3.2%
0.270814
 
2.5%
0.258314
 
2.5%
0.28339
 
1.6%
0.3259
 
1.6%
0.30839
 
1.6%
0.35838
 
1.4%
0.26678
 
1.4%
0.41678
 
1.4%
Other values (197)447
79.3%
ValueCountFrequency (%)
0.19581
 
0.2%
0.21
 
0.2%
0.20423
0.5%
0.20832
0.4%
0.21251
 
0.2%
ValueCountFrequency (%)
8.03331
0.2%
5.78331
0.2%
4.43331
0.2%
3.83331
0.2%
3.68331
0.2%

IR_Img3TempGradVerRngDiff
Real number (ℝ≥0)

MISSING

Distinct121
Distinct (%)29.7%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean0.4166985294
Minimum0.1667
Maximum1.2667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:07.340844image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.1667
5-th percentile0.25
Q10.3083
median0.3625
Q30.4667
95-th percentile0.730395
Maximum1.2667
Range1.1
Interquartile range (IQR)0.1584

Descriptive statistics

Standard deviation0.1583534066
Coefficient of variation (CV)0.3800191155
Kurtosis2.522111386
Mean0.4166985294
Median Absolute Deviation (MAD)0.0625
Skewness1.496875247
Sum170.013
Variance0.02507580137
MonotonicityNot monotonic
2022-10-25T10:10:07.454735image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.304215
 
2.7%
0.316713
 
2.3%
0.308313
 
2.3%
0.358312
 
2.1%
0.362510
 
1.8%
0.3259
 
1.6%
0.33759
 
1.6%
0.28338
 
1.4%
0.32928
 
1.4%
0.40838
 
1.4%
Other values (111)303
53.7%
(Missing)156
27.7%
ValueCountFrequency (%)
0.16671
0.2%
0.21251
0.2%
0.21671
0.2%
0.22082
0.4%
0.2251
0.2%
ValueCountFrequency (%)
1.26671
0.2%
1.01671
0.2%
0.96671
0.2%
0.92081
0.2%
0.851
0.2%

IR_Img1TempWallStd
Real number (ℝ≥0)

Distinct165
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.688812057
Minimum0.67
Maximum3.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:07.560853image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.67
5-th percentile0.87
Q11.04
median1.48
Q32.13
95-th percentile2.9985
Maximum3.14
Range2.47
Interquartile range (IQR)1.09

Descriptive statistics

Standard deviation0.7315927102
Coefficient of variation (CV)0.4331996016
Kurtosis-0.8970284449
Mean1.688812057
Median Absolute Deviation (MAD)0.46
Skewness0.6675102728
Sum952.49
Variance0.5352278936
MonotonicityNot monotonic
2022-10-25T10:10:07.702895image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0315
 
2.7%
1.2512
 
2.1%
0.912
 
2.1%
1.2312
 
2.1%
1.2411
 
2.0%
111
 
2.0%
1.0210
 
1.8%
0.999
 
1.6%
1.729
 
1.6%
2.897
 
1.2%
Other values (155)456
80.9%
ValueCountFrequency (%)
0.672
0.4%
0.694
0.7%
0.711
 
0.2%
0.723
0.5%
0.731
 
0.2%
ValueCountFrequency (%)
3.141
0.2%
3.131
0.2%
3.112
0.4%
3.11
0.2%
3.091
0.2%

IR_Img2TempWallStd
Real number (ℝ≥0)

Distinct181
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.680797872
Minimum0.67
Maximum3.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:07.810770image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.67
5-th percentile0.8215
Q11
median1.46
Q32.05
95-th percentile3.09
Maximum3.31
Range2.64
Interquartile range (IQR)1.05

Descriptive statistics

Standard deviation0.7645869117
Coefficient of variation (CV)0.4548952163
Kurtosis-0.8601676089
Mean1.680797872
Median Absolute Deviation (MAD)0.49
Skewness0.6794638419
Sum947.97
Variance0.5845931456
MonotonicityNot monotonic
2022-10-25T10:10:07.919860image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118
 
3.2%
0.9411
 
2.0%
1.2111
 
2.0%
1.0111
 
2.0%
0.9910
 
1.8%
0.9710
 
1.8%
0.959
 
1.6%
0.989
 
1.6%
0.969
 
1.6%
1.829
 
1.6%
Other values (171)457
81.0%
ValueCountFrequency (%)
0.671
 
0.2%
0.681
 
0.2%
0.693
0.5%
0.716
1.1%
0.721
 
0.2%
ValueCountFrequency (%)
3.312
0.4%
3.252
0.4%
3.222
0.4%
3.211
0.2%
3.22
0.4%

IR_Img3TempWallStd
Real number (ℝ≥0)

MISSING

Distinct162
Distinct (%)39.7%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean1.662892157
Minimum0.75
Maximum3.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:08.045530image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.75
5-th percentile0.84
Q10.97
median1.5
Q32.2225
95-th percentile3.093
Maximum3.48
Range2.73
Interquartile range (IQR)1.2525

Descriptive statistics

Standard deviation0.7945347521
Coefficient of variation (CV)0.4778029344
Kurtosis-1.039514288
Mean1.662892157
Median Absolute Deviation (MAD)0.54
Skewness0.6273772407
Sum678.46
Variance0.6312854724
MonotonicityNot monotonic
2022-10-25T10:10:08.154146image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9724
 
4.3%
1.0312
 
2.1%
111
 
2.0%
0.9811
 
2.0%
1.0210
 
1.8%
0.8510
 
1.8%
0.849
 
1.6%
0.968
 
1.4%
0.937
 
1.2%
0.877
 
1.2%
Other values (152)299
53.0%
(Missing)156
27.7%
ValueCountFrequency (%)
0.753
0.5%
0.763
0.5%
0.772
0.4%
0.782
0.4%
0.791
 
0.2%
ValueCountFrequency (%)
3.481
0.2%
3.341
0.2%
3.331
0.2%
3.262
0.4%
3.252
0.4%

IR_Img1TempWallStdDiff
Real number (ℝ≥0)

Distinct132
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.044840426
Minimum0.07
Maximum2.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:08.289710image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.07
5-th percentile0.46
Q10.91
median1.02
Q31.1825
95-th percentile1.88
Maximum2.83
Range2.76
Interquartile range (IQR)0.2725

Descriptive statistics

Standard deviation0.4230442108
Coefficient of variation (CV)0.4048888237
Kurtosis1.562231204
Mean1.044840426
Median Absolute Deviation (MAD)0.15
Skewness0.4848707593
Sum589.29
Variance0.1789664043
MonotonicityNot monotonic
2022-10-25T10:10:08.389137image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9623
 
4.1%
0.9820
 
3.5%
1.0218
 
3.2%
0.9717
 
3.0%
117
 
3.0%
1.0113
 
2.3%
1.0613
 
2.3%
1.1511
 
2.0%
0.9311
 
2.0%
0.6611
 
2.0%
Other values (122)410
72.7%
ValueCountFrequency (%)
0.072
 
0.4%
0.0810
1.8%
0.096
1.1%
0.11
 
0.2%
0.114
 
0.7%
ValueCountFrequency (%)
2.831
0.2%
2.581
0.2%
2.571
0.2%
2.251
0.2%
2.241
0.2%

IR_Img2TempWallStdDiff
Real number (ℝ≥0)

Distinct136
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.07929078
Minimum0.29
Maximum2.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:08.537008image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.29
5-th percentile0.54
Q10.87
median1.04
Q31.24
95-th percentile1.637
Maximum2.51
Range2.22
Interquartile range (IQR)0.37

Descriptive statistics

Standard deviation0.3750341993
Coefficient of variation (CV)0.3474820745
Kurtosis2.98088324
Mean1.07929078
Median Absolute Deviation (MAD)0.19
Skewness1.114973268
Sum608.72
Variance0.1406506506
MonotonicityNot monotonic
2022-10-25T10:10:08.656810image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
119
 
3.4%
0.9918
 
3.2%
0.8216
 
2.8%
1.0215
 
2.7%
1.0115
 
2.7%
1.0414
 
2.5%
0.9813
 
2.3%
1.0712
 
2.1%
1.0612
 
2.1%
1.0312
 
2.1%
Other values (126)418
74.1%
ValueCountFrequency (%)
0.291
 
0.2%
0.31
 
0.2%
0.313
0.5%
0.321
 
0.2%
0.331
 
0.2%
ValueCountFrequency (%)
2.511
 
0.2%
2.481
 
0.2%
2.461
 
0.2%
2.422
0.4%
2.413
0.5%

IR_Img3TempWallStdDiff
Real number (ℝ≥0)

MISSING

Distinct107
Distinct (%)26.2%
Missing156
Missing (%)27.7%
Infinite0
Infinite (%)0.0%
Mean1.008553922
Minimum0.42
Maximum2.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:08.779259image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.42
5-th percentile0.59
Q10.7975
median1.04
Q31.1525
95-th percentile1.5
Maximum2.1
Range1.68
Interquartile range (IQR)0.355

Descriptive statistics

Standard deviation0.275076254
Coefficient of variation (CV)0.2727432298
Kurtosis0.5366441533
Mean1.008553922
Median Absolute Deviation (MAD)0.18
Skewness0.372116036
Sum411.49
Variance0.07566694549
MonotonicityNot monotonic
2022-10-25T10:10:08.900394image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0616
 
2.8%
1.0515
 
2.7%
112
 
2.1%
1.0712
 
2.1%
0.610
 
1.8%
1.110
 
1.8%
1.039
 
1.6%
0.669
 
1.6%
1.089
 
1.6%
0.988
 
1.4%
Other values (97)298
52.8%
(Missing)156
27.7%
ValueCountFrequency (%)
0.421
0.2%
0.461
0.2%
0.471
0.2%
0.481
0.2%
0.491
0.2%
ValueCountFrequency (%)
2.11
0.2%
1.932
0.4%
1.821
0.2%
1.721
0.2%
1.651
0.2%

IR_Img1TempEnv
Real number (ℝ≥0)

Distinct331
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.59760638
Minimum17.63
Maximum23.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:09.029355image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum17.63
5-th percentile18.0715
Q119.55
median20.49
Q321.6425
95-th percentile23.2885
Maximum23.78
Range6.15
Interquartile range (IQR)2.0925

Descriptive statistics

Standard deviation1.508295162
Coefficient of variation (CV)0.07322672033
Kurtosis-0.7290031756
Mean20.59760638
Median Absolute Deviation (MAD)0.99
Skewness0.1186217765
Sum11617.05
Variance2.274954296
MonotonicityNot monotonic
2022-10-25T10:10:09.138437image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.076
 
1.1%
21.16
 
1.1%
22.156
 
1.1%
21.156
 
1.1%
22.096
 
1.1%
19.535
 
0.9%
18.055
 
0.9%
22.184
 
0.7%
19.524
 
0.7%
21.44
 
0.7%
Other values (321)512
90.8%
ValueCountFrequency (%)
17.631
0.2%
17.71
0.2%
17.821
0.2%
17.852
0.4%
17.871
0.2%
ValueCountFrequency (%)
23.782
0.4%
23.762
0.4%
23.731
0.2%
23.681
0.2%
23.661
0.2%

CV_Width
Real number (ℝ≥0)

MISSING
ZEROS

Distinct144
Distinct (%)92.3%
Missing408
Missing (%)72.3%
Infinite0
Infinite (%)0.0%
Mean89.97756859
Minimum0
Maximum98.5006
Zeros12
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:09.267329image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q197.06585
median97.16135
Q397.9606
95-th percentile98.465325
Maximum98.5006
Range98.5006
Interquartile range (IQR)0.89475

Descriptive statistics

Standard deviation26.06267595
Coefficient of variation (CV)0.289657482
Kurtosis8.37986739
Mean89.97756859
Median Absolute Deviation (MAD)0.39845
Skewness-3.204271235
Sum14036.5007
Variance679.2630777
MonotonicityNot monotonic
2022-10-25T10:10:09.394239image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
012
 
2.1%
97.0872
 
0.4%
96.84861
 
0.2%
97.96091
 
0.2%
97.94541
 
0.2%
97.941
 
0.2%
97.95361
 
0.2%
97.9621
 
0.2%
97.95431
 
0.2%
97.98381
 
0.2%
Other values (134)134
 
23.8%
(Missing)408
72.3%
ValueCountFrequency (%)
012
2.1%
96.76151
 
0.2%
96.77891
 
0.2%
96.79261
 
0.2%
96.79621
 
0.2%
ValueCountFrequency (%)
98.50061
0.2%
98.49721
0.2%
98.49391
0.2%
98.49251
0.2%
98.47311
0.2%

CV_Image4Name
Categorical

HIGH CARDINALITY
MISSING

Distinct145
Distinct (%)92.9%
Missing408
Missing (%)72.3%
Memory size4.5 KiB
0
 
12
Frontal_GB0212.bmp
 
1
Frontal_GB0213.bmp
 
1
Frontal_GB0343.bmp
 
1
Frontal_GB0344.bmp
 
1
Other values (140)
140 

Unique

Unique144 ?
Unique (%)92.3%

Sample

1st rowFrontal_GB0211.bmp
2nd rowFrontal_GB0212.bmp
3rd rowFrontal_GB0213.bmp
4th rowFrontal_GB0214.bmp
5th rowFrontal_GB0215.bmp

Common Values

ValueCountFrequency (%)
012
 
2.1%
Frontal_GB0212.bmp1
 
0.2%
Frontal_GB0213.bmp1
 
0.2%
Frontal_GB0343.bmp1
 
0.2%
Frontal_GB0344.bmp1
 
0.2%
Frontal_GB0345.bmp1
 
0.2%
Frontal_GB0355.bmp1
 
0.2%
Frontal_GB0356.bmp1
 
0.2%
Frontal_GB0357.bmp1
 
0.2%
Frontal_GB0358.bmp1
 
0.2%
Other values (135)135
 
23.9%
(Missing)408
72.3%

DRY_acBatchCounter
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing408
Missing (%)72.3%
Memory size4.5 KiB

DRY_acComp1DosRate
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing408
Missing (%)72.3%
Memory size4.5 KiB

DRY_acComp1TotalWeight
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing408
Missing (%)72.3%
Memory size4.5 KiB

DRY_acDryCircuitDewPoint
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing408
Missing (%)72.3%
Memory size4.5 KiB

DRY_acRegCircuitInletTemp
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing408
Missing (%)72.3%
Memory size4.5 KiB

DRY_acTotalWeight
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing408
Missing (%)72.3%
Memory size4.5 KiB

DRY_acWeight
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing408
Missing (%)72.3%
Memory size4.5 KiB

CALC_InjectionStroke
Real number (ℝ≥0)

MISSING

Distinct360
Distinct (%)100.0%
Missing204
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean140.8155079
Minimum129.7198944
Maximum150.3389893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:09.514407image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum129.7198944
5-th percentile130.9488098
Q1137.519722
median140.7130508
Q3145.783474
95-th percentile149.2862221
Maximum150.3389893
Range20.61909485
Interquartile range (IQR)8.263751984

Descriptive statistics

Standard deviation5.428732054
Coefficient of variation (CV)0.03855208944
Kurtosis-0.8879861819
Mean140.8155079
Median Absolute Deviation (MAD)4.56879425
Skewness-0.1046517663
Sum50693.58284
Variance29.47113172
MonotonicityNot monotonic
2022-10-25T10:10:09.646031image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135.50309751
 
0.2%
147.79869081
 
0.2%
148.08268741
 
0.2%
147.72839361
 
0.2%
147.84089661
 
0.2%
147.87139891
 
0.2%
147.78459171
 
0.2%
147.82508851
 
0.2%
141.43840031
 
0.2%
141.46508791
 
0.2%
Other values (350)350
62.1%
(Missing)204
36.2%
ValueCountFrequency (%)
129.71989441
0.2%
130.07418821
0.2%
130.18209841
0.2%
130.18539431
0.2%
130.19349671
0.2%
ValueCountFrequency (%)
150.33898931
0.2%
150.15148931
0.2%
150.09529111
0.2%
149.98439031
0.2%
149.97709661
0.2%

CALC_DosingStroke
Real number (ℝ≥0)

MISSING

Distinct358
Distinct (%)99.4%
Missing204
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean130.3287744
Minimum119.2335968
Maximum139.8588867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:09.748906image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum119.2335968
5-th percentile120.4436405
Q1127.0170002
median130.2294388
Q3135.3172417
95-th percentile138.8169876
Maximum139.8588867
Range20.62528992
Interquartile range (IQR)8.30024147

Descriptive statistics

Standard deviation5.441297525
Coefficient of variation (CV)0.04175054628
Kurtosis-0.8913738454
Mean130.3287744
Median Absolute Deviation (MAD)4.58291626
Skewness-0.1029011308
Sum46918.35877
Variance29.60771876
MonotonicityNot monotonic
2022-10-25T10:10:09.880921image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.25320432
 
0.4%
123.69470212
 
0.4%
125.00588991
 
0.2%
137.48510741
 
0.2%
137.23300171
 
0.2%
137.31159971
 
0.2%
137.61819461
 
0.2%
137.26100161
 
0.2%
137.36180111
 
0.2%
137.41760251
 
0.2%
Other values (348)348
61.7%
(Missing)204
36.2%
ValueCountFrequency (%)
119.23359681
0.2%
119.57629391
0.2%
119.67359921
0.2%
119.68600461
0.2%
119.68611151
0.2%
ValueCountFrequency (%)
139.85888671
0.2%
139.68031311
0.2%
139.63391111
0.2%
139.51721191
0.2%
139.50590521
0.2%

CALC_DosedWeight
Real number (ℝ≥0)

MISSING

Distinct360
Distinct (%)100.0%
Missing204
Missing (%)36.2%
Infinite0
Infinite (%)0.0%
Mean90.29913657
Minimum82.88730666
Maximum96.18242373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2022-10-25T10:10:10.004425image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum82.88730666
5-th percentile84.23710632
Q187.4888332
median90.69891554
Q392.72232033
95-th percentile95.66465117
Maximum96.18242373
Range13.29511707
Interquartile range (IQR)5.233487124

Descriptive statistics

Standard deviation3.500624486
Coefficient of variation (CV)0.03876697629
Kurtosis-0.9137549781
Mean90.29913657
Median Absolute Deviation (MAD)2.764640481
Skewness-0.1089135139
Sum32507.68916
Variance12.25437179
MonotonicityNot monotonic
2022-10-25T10:10:10.162131image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88.813599741
 
0.2%
95.96622381
 
0.2%
96.182423731
 
0.2%
95.930605461
 
0.2%
96.001961691
 
0.2%
96.04174031
 
0.2%
95.968479811
 
0.2%
95.989234071
 
0.2%
91.528196571
 
0.2%
91.55464911
 
0.2%
Other values (350)350
62.1%
(Missing)204
36.2%
ValueCountFrequency (%)
82.887306661
0.2%
83.530248221
0.2%
83.579070171
0.2%
83.648059041
0.2%
83.694862491
0.2%
ValueCountFrequency (%)
96.182423731
0.2%
96.109371891
0.2%
96.088350651
0.2%
96.04174031
0.2%
96.001961691
0.2%