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Demo_Template_8.2.twb
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Demo_Template_8.2.twb
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<?xml version='1.0' encoding='utf-8' ?>
<workbook source-platform='win' version='8.3' xmlns:user='http://www.tableausoftware.com/xml/user'>
<!-- build 8200.14.0819.2015 -->
<preferences>
</preferences>
<datasources>
<datasource hasconnection='false' inline='true' name='Parameters' version='8.3'>
<aliases enabled='yes' />
<column caption='IP Address ' datatype='string' name='[Parameter 10]' param-domain-type='any' role='measure' type='nominal' value='"localhost"'>
<calculation class='tableau' formula='"localhost"' />
<desc>
<formatted-text>
<run>Input IP Address of server H2O is launched on</run>
</formatted-text>
</desc>
</column>
<column caption='Port' datatype='integer' name='[Parameter 11]' param-domain-type='any' role='measure' type='quantitative' value='54321'>
<calculation class='tableau' formula='54321' />
</column>
<column caption='Path To Data' datatype='string' name='[Parameter 12]' param-domain-type='any' role='measure' type='nominal' value='"https://github.com/0xdata/h2o/blob/master/smalldata/airlines/allyears2k_headers.zip?raw=true"'>
<calculation class='tableau' formula='"https://github.com/0xdata/h2o/blob/master/smalldata/airlines/allyears2k_headers.zip?raw=true"' />
</column>
<column caption='Beta' datatype='boolean' name='[Parameter 13]' param-domain-type='list' role='measure' type='nominal' value='true'>
<calculation class='tableau' formula='true' />
<members>
<member value='true' />
<member value='false' />
</members>
</column>
<column caption='Local H2O Heap Size' datatype='string' name='[Parameter 14]' param-domain-type='any' role='measure' type='nominal' value='"1g"'>
<calculation class='tableau' formula='"1g"' />
</column>
<column caption='(GLM) Lambda' datatype='string' name='[Parameter 15]' param-domain-type='any' role='measure' type='nominal' value='"1.0E-5"'>
<calculation class='tableau' formula='"1.0E-5"' />
</column>
<column caption='(GLM) Response Variable' datatype='string' name='[Parameter 1]' param-domain-type='any' role='measure' type='nominal' value='"Cancelled"'>
<calculation class='tableau' formula='"Cancelled"' />
</column>
<column caption='(GLM) Predictor Variables' datatype='string' name='[Parameter 2]' param-domain-type='any' role='measure' type='nominal' value='"Origin,Dest,UniqueCarrier"'>
<calculation class='tableau' formula='"Origin,Dest,UniqueCarrier"' />
</column>
<column caption='(GLM) Alpha' datatype='real' name='[Parameter 3]' param-domain-type='range' role='measure' type='quantitative' value='1.0'>
<calculation class='tableau' formula='1.0' />
<range granularity='0.25' max='1.0' min='0.0' />
</column>
<column caption='(GLM) Cross Validation N-Folds' datatype='integer' name='[Parameter 4]' param-domain-type='range' role='measure' type='quantitative' value='0'>
<calculation class='tableau' formula='0' />
<range granularity='1' min='0' />
</column>
<column caption='(GLM) Family' datatype='string' name='[Parameter 5]' param-domain-type='list' role='measure' type='nominal' value='"binomial"'>
<calculation class='tableau' formula='"binomial"' />
<members>
<member value='"gaussian"' />
<member value='"binomial"' />
<member value='"poisson"' />
<member value='"gamma"' />
<member value='"tweedie"' />
</members>
</column>
<column caption='(GLM) Model Name' datatype='string' name='[Parameter 6]' param-domain-type='any' role='measure' type='nominal' value='"data.glm"'>
<calculation class='tableau' formula='"data.glm"' />
</column>
<column caption='(K-Means) # of Centers' datatype='integer' name='[Parameter 7]' param-domain-type='range' role='measure' type='quantitative' value='2'>
<calculation class='tableau' formula='2' />
<range granularity='1' min='1' />
</column>
<column caption='(K-Means) Model Name' datatype='string' name='[Parameter 8]' param-domain-type='any' role='measure' type='nominal' value='"data.km"'>
<calculation class='tableau' formula='"data.km"' />
</column>
<column caption='(K-means) Eval Cols' datatype='string' name='[Parameter 9]' param-domain-type='list' role='measure' type='nominal' value='"AllAvailableColumns"'>
<calculation class='tableau' formula='"AllAvailableColumns"' />
<members>
<member value='"AllAvailableColumns"' />
<member value='"Year"' />
<member value='"Month"' />
<member value='"DayofMonth"' />
<member value='"DayOfWeek"' />
<member value='"DepTime"' />
<member value='"CRSDepTime"' />
<member value='"ArrTime"' />
<member value='"CRSArrTime"' />
<member value='"UniqueCarrier"' />
<member value='"FlightNum"' />
<member value='"TailNum"' />
<member value='"ActualElapsedTime"' />
<member value='"CRSElapsedTime"' />
<member value='"AirTime"' />
<member value='"ArrDelay"' />
<member value='"DepDelay"' />
<member value='"Origin"' />
<member value='"Dest"' />
<member value='"Distance"' />
<member value='"TaxiIn"' />
<member value='"TaxiOut"' />
<member value='"Cancelled"' />
<member value='"CancellationCode"' />
<member value='"Diverted"' />
<member value='"CarrierDelay"' />
<member value='"WeatherDelay"' />
<member value='"NASDelay"' />
<member value='"SecurityDelay"' />
<member value='"LateAircraftDelay"' />
<member value='"IsArrDelayed"' />
<member value='"IsDepDelayed"' />
<member value='"City"' />
</members>
</column>
<folder name='GLM Parameters' role='parameters'>
<folder-item name='[Parameter 15]' type='field' />
<folder-item name='[Parameter 1]' type='field' />
<folder-item name='[Parameter 2]' type='field' />
<folder-item name='[Parameter 3]' type='field' />
<folder-item name='[Parameter 4]' type='field' />
<folder-item name='[Parameter 5]' type='field' />
<folder-item name='[Parameter 6]' type='field' />
</folder>
<folder name='H2O Initialization' role='parameters'>
<folder-item name='[Parameter 10]' type='field' />
<folder-item name='[Parameter 11]' type='field' />
<folder-item name='[Parameter 12]' type='field' />
<folder-item name='[Parameter 13]' type='field' />
<folder-item name='[Parameter 14]' type='field' />
</folder>
<folder name='K-Means Parameters' role='parameters'>
<folder-item name='[Parameter 7]' type='field' />
<folder-item name='[Parameter 8]' type='field' />
<folder-item name='[Parameter 9]' type='field' />
</folder>
</datasource>
<datasource caption='airlines_meta' inline='true' name='csv.41677.501581817130' version='8.3'>
<connection auto-extract='yes' character-set='65001' class='csv' directory='C:\Users\Amy\Documents\h2o\Tableau\meta_data' driver='' filename='airlines_meta.csv' force-character-set='no' force-header='no' force-separator='no' header='yes' separator=','>
<relation name='airlines_meta#csv' table='[airlines_meta#csv]' type='table' />
<metadata-records>
<metadata-record class='column'>
<remote-name>Colnames</remote-name>
<remote-type>130</remote-type>
<local-name>[Colnames]</local-name>
<parent-name>[airlines_meta#csv]</parent-name>
<remote-alias>Colnames</remote-alias>
<ordinal>1</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<contains-null>true</contains-null>
<collation flag='0' name='binary' />
<attributes>
<attribute datatype='string' name='DebugRemoteType'>"WSTR"</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>DCity</remote-name>
<remote-type>130</remote-type>
<local-name>[DCity]</local-name>
<parent-name>[airlines_meta#csv]</parent-name>
<remote-alias>DCity</remote-alias>
<ordinal>12</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<contains-null>true</contains-null>
<collation flag='0' name='binary' />
<attributes>
<attribute datatype='string' name='DebugRemoteType'>"WSTR"</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>DLat</remote-name>
<remote-type>5</remote-type>
<local-name>[DLat]</local-name>
<parent-name>[airlines_meta#csv]</parent-name>
<remote-alias>DLat</remote-alias>
<ordinal>13</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<precision>15</precision>
<contains-null>true</contains-null>
<attributes>
<attribute datatype='string' name='DebugRemoteType'>"R8"</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>DLong</remote-name>
<remote-type>5</remote-type>
<local-name>[DLong]</local-name>
<parent-name>[airlines_meta#csv]</parent-name>
<remote-alias>DLong</remote-alias>
<ordinal>14</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<precision>15</precision>
<contains-null>true</contains-null>
<attributes>
<attribute datatype='string' name='DebugRemoteType'>"R8"</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>DayOfWeek</remote-name>
<remote-type>3</remote-type>
<local-name>[DayOfWeek]</local-name>
<parent-name>[airlines_meta#csv]</parent-name>
<remote-alias>DayOfWeek</remote-alias>
<ordinal>5</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<precision>10</precision>
<contains-null>true</contains-null>
<attributes>
<attribute datatype='string' name='DebugRemoteType'>"I4"</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>DayofMonth</remote-name>
<remote-type>3</remote-type>
<local-name>[DayofMonth]</local-name>
<parent-name>[airlines_meta#csv]</parent-name>
<remote-alias>DayofMonth</remote-alias>
<ordinal>4</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<precision>10</precision>
<contains-null>true</contains-null>
<attributes>
<attribute datatype='string' name='DebugRemoteType'>"I4"</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>Dest</remote-name>
<remote-type>130</remote-type>
<local-name>[Dest]</local-name>
<parent-name>[airlines_meta#csv]</parent-name>
<remote-alias>Dest</remote-alias>
<ordinal>11</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<contains-null>true</contains-null>
<collation flag='0' name='binary' />
<attributes>
<attribute datatype='string' name='DebugRemoteType'>"WSTR"</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>Month</remote-name>
<remote-type>3</remote-type>
<local-name>[Month]</local-name>
<parent-name>[airlines_meta#csv]</parent-name>
<remote-alias>Month</remote-alias>
<ordinal>3</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<precision>10</precision>
<contains-null>true</contains-null>
<attributes>
<attribute datatype='string' name='DebugRemoteType'>"I4"</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>OCity</remote-name>
<remote-type>130</remote-type>
<local-name>[OCity]</local-name>
<parent-name>[airlines_meta#csv]</parent-name>
<remote-alias>OCity</remote-alias>
<ordinal>8</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<contains-null>true</contains-null>
<collation flag='0' name='binary' />
<attributes>
<attribute datatype='string' name='DebugRemoteType'>"WSTR"</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>OLat</remote-name>
<remote-type>5</remote-type>
<local-name>[OLat]</local-name>
<parent-name>[airlines_meta#csv]</parent-name>
<remote-alias>OLat</remote-alias>
<ordinal>9</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<precision>15</precision>
<contains-null>true</contains-null>
<attributes>
<attribute datatype='string' name='DebugRemoteType'>"R8"</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>OLong</remote-name>
<remote-type>5</remote-type>
<local-name>[OLong]</local-name>
<parent-name>[airlines_meta#csv]</parent-name>
<remote-alias>OLong</remote-alias>
<ordinal>10</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<precision>15</precision>
<contains-null>true</contains-null>
<attributes>
<attribute datatype='string' name='DebugRemoteType'>"R8"</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>Origin</remote-name>
<remote-type>130</remote-type>
<local-name>[Origin]</local-name>
<parent-name>[airlines_meta#csv]</parent-name>
<remote-alias>Origin</remote-alias>
<ordinal>7</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<contains-null>true</contains-null>
<collation flag='0' name='binary' />
<attributes>
<attribute datatype='string' name='DebugRemoteType'>"WSTR"</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>UniqueCarrier</remote-name>
<remote-type>130</remote-type>
<local-name>[UniqueCarrier]</local-name>
<parent-name>[airlines_meta#csv]</parent-name>
<remote-alias>UniqueCarrier</remote-alias>
<ordinal>6</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<contains-null>true</contains-null>
<collation flag='0' name='binary' />
<attributes>
<attribute datatype='string' name='DebugRemoteType'>"WSTR"</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>Year</remote-name>
<remote-type>3</remote-type>
<local-name>[Year]</local-name>
<parent-name>[airlines_meta#csv]</parent-name>
<remote-alias>Year</remote-alias>
<ordinal>2</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<precision>10</precision>
<contains-null>true</contains-null>
<attributes>
<attribute datatype='string' name='DebugRemoteType'>"I4"</attribute>
</attributes>
</metadata-record>
</metadata-records>
</connection>
<aliases enabled='yes' />
<column caption='Cancellation Count By Airport' datatype='integer' name='[02 Flight Count By Airport (copy)]' role='measure' type='ordinal'>
<calculation class='tableau' formula='script_int(" ## match to the correct row idx4 = match( .arg1 , origin_canFlights.R$Origin ) print(origin_canFlights.R[idx4,]$C1) origin_canFlights.R[idx4,]$C1 ", ATTR([Origin]))' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column caption='Flight Count By Airport' datatype='integer' name='[02 Flight Count By Months (copy 2)]' role='measure' type='ordinal'>
<calculation class='tableau' formula='script_int(" ## match to the correct row idx3 = match( .arg1 , originFlights.R$Origin ) print(originFlights.R[idx3,]$C1) originFlights.R[idx3,]$C1 ", ATTR([Origin]) )' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column caption='Cancellation Count By Months' datatype='integer' name='[02 Flight Count By Months (copy)]' role='measure' type='ordinal'>
<calculation class='tableau' formula='script_int(" ## match to the correct row idx2 = match( .arg1 , canFlights.R$Month ) print(canFlights.R[idx2,]$C1) if ( !is.na( .arg1 ) ) { canFlights.R[idx2,]$C1 } else {'Filter out Null values'} ", ATTR([Month]) )' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column caption='Variable Coefficient Signage' datatype='integer' name='[03 Grab Coefficient Variables (copy)]' role='measure' type='ordinal'>
<calculation class='tableau' formula='SIGN([Calculation_7320206215923342])' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column caption='Index' datatype='integer' name='[Calculation_0230903195627598]' role='measure' type='quantitative'>
<calculation class='tableau' formula='Index()' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column caption='02 Execute Aggregation with H2O's ddply' datatype='string' name='[Calculation_0520904112538377]' role='measure' type='nominal'>
<calculation class='tableau' formula='SCRIPT_Str(" ## ddply, find the length of each month numFlights = h2o.ddply(data.hex, 'Month', nrow) numFlights.R = as.data.frame(numFlights) print(numFlights.R) ## ddply, find the sum of cancellation column for each month fun2 = function(df) {sum(df$Cancelled)} h2o.addFunction(h2oLocal, fun2) canFlights = h2o.ddply(data.hex, 'Month', fun2) canFlights.R = as.data.frame(canFlights) print(canFlights.R) 'Finish Aggregations on Months' ## ddply, find the length of each airport group originFlights = h2o.ddply(data.hex, 'Origin', nrow) originFlights.R = as.data.frame(originFlights) print(canFlights.R) ## ddply, find the sum of cancellation column in each airport group origin_canFlights = h2o.ddply(data.hex, 'Origin', fun2) origin_canFlights.R = as.data.frame(origin_canFlights) print(origin_canFlights.R) 'Finish Aggregations on Airports' ", "")' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column caption='Option : Null' datatype='real' name='[Calculation_0840422201739178]' role='measure' type='quantitative'>
<calculation class='tableau' formula='IIF([Calculation_7320206215923342]==0,Null,[Calculation_7320206215923342])' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column caption='Flight Count By Months' datatype='integer' name='[Calculation_1340527151300682]' role='measure' type='ordinal'>
<calculation class='tableau' formula='script_int(" ## match to the correct row idx = match( .arg1 , numFlights.R$Month ) print(numFlights.R[idx,]$C1) if ( !is.na( .arg1 ) ) { numFlights.R[idx,]$C1 } else {'Filter out Null values'} ", ATTR([Month]) )' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column caption='AUC Value' datatype='real' name='[Calculation_2510527224812934]' role='measure' type='quantitative'>
<calculation class='tableau' formula='script_real(" data.glm@model$auc ", INDEX() )' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column caption='01 Start H2O & Parse Data' datatype='string' name='[Calculation_2960206151848632]' role='measure' type='nominal'>
<calculation class='tableau' formula='SCRIPT_STR(" ## Load H2O's client package library(h2o) ## Tableau High NA Count tableau.ignoreColumns <- function (ignore_col , predictorVariable ) { if( predictorVariable %in% ignore_col ) { print( 'High NA Count' ) } else {print( 'Normal' )} } ## Tableau grab coefficients corresponding to predictor variable tableau_catFormat <- function( modelKey , variableStr, predictorVariable) { if( typeof(modelKey) != 'S4') print('Model Key is not in expected format of S4') if( is.character(variableStr) != TRUE) print('Input column is not in expected format of string') if( is.character(predictorVariable) != TRUE) print('Input variables is not in expected format of string') glmModelTemp = modelKey modelCoeff = modelKey@model$coefficients modelCoeff = modelKey@model$coefficients idx = grep( variableStr , names(modelCoeff)) modelCoeff2 = modelCoeff[idx] variableNames = unlist(strsplit(names(modelCoeff2),split='.',fixed=TRUE)) variableNamesMatrix = matrix(variableNames, ncol=2, byrow=TRUE) variableList = variableNamesMatrix[,2] names(modelCoeff2) = variableList setDiff = setdiff(.arg1,variableList) nullVec = rep(0,length(setDiff)) names(nullVec) = setDiff newCoefficientList = c(modelCoeff2, nullVec) tableau_input = newCoefficientList[predictorVariable] tableau_input} print('Finish setting up Tableau functions') h2oLocal = h2o.init( ip = .arg1, port = .arg2, max_mem_size = .arg3, beta = .arg4) print('Finish starting H2O') data.hex = h2o.importFile(h2oLocal, path = .arg5) print('Finish Parsing data into H2O') 'Finish Parsing data into H2O' ", [Parameters].[Parameter 10],[Parameters].[Parameter 11],[Parameters].[Parameter 14],[Parameters].[Parameter 13],[Parameters].[Parameter 12])' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column caption='Cancellation by Month' datatype='string' name='[Calculation_6260902222221692]' role='measure' type='nominal'>
<calculation class='tableau' formula='Script_STR(" ## ddply, find the length of each month numFlights = h2o.ddply(data.hex, 'Month', nrow) numFlights.R = as.data.frame(numFlights) print(numFlights.R) ## ddply, find the length of each month fun2 = function(df) {sum(df$Cancelled)} h2o.addFunction(h2oLocal, fun2) canFlights = h2o.ddply(data.hex, 'Month', fun2) canFlights.R = as.data.frame(canFlights) print(canFlights.R) ", "")' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column caption='Variable Coefficients' datatype='real' name='[Calculation_7320206215923342]' role='measure' type='ordinal'>
<calculation class='tableau' formula='SCRIPT_REAL("glmModelTemp = eval(parse(text = .arg3 )) tableau_catFormat( glmModelTemp, .arg1 , .arg2)", 'Origin', ATTR([Origin]),[Parameters].[Parameter 6])' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column caption='03 Run GLM' datatype='string' name='[Calculation_8800501133749493]' role='measure' type='nominal'>
<calculation class='tableau' formula='SCRIPT_STR(" xvars = unlist( strsplit( .arg2, split = ',' , fixed = TRUE ) ) print( 'break') print( xvars ) print( .arg3 ) print( data.hex ) print( .arg4 ) print( .arg5 ) print( .arg6 ) print( .arg7 ) data.glm = h2o.glm(x = xvars , y = .arg3, data = data.hex, family = .arg4, nfolds = .arg5, standardize=TRUE) print(data.glm) 'Finish running GLM' ", [Parameters].[Parameter 6],[Parameters].[Parameter 2],[Parameters].[Parameter 1], [Parameters].[Parameter 5], [Parameters].[Parameter 4],[Parameters].[Parameter 3], [Parameters].[Parameter 15])' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column caption='Cancellations by Airport' datatype='string' name='[Cancellation by Month (copy)]' role='measure' type='nominal'>
<calculation class='tableau' formula='SCRIPT_STR(" ## ddply, find the length of each month originFlights = h2o.ddply(data.hex, 'Origin', nrow) originFlights.R = as.data.frame(originFlights) print(canFlights.R) ## ddply, find the length of each month origin_canFlights = h2o.ddply(data.hex, 'Origin', fun2) origin_canFlights.R = as.data.frame(origin_canFlights) print(origin_canFlights.R) ", "")' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column aggregation='Sum' datatype='integer' name='[DayOfWeek]' role='dimension' type='quantitative'>
</column>
<column aggregation='Sum' datatype='integer' name='[DayofMonth]' role='dimension' type='quantitative'>
</column>
<column datatype='real' datatype-customized='true' name='[Month]' role='dimension' type='quantitative'>
</column>
<column datatype='integer' name='[Number of Records]' role='measure' type='quantitative' user:auto-column='numrec'>
<calculation class='tableau' formula='1' />
</column>
<column datatype='string' name='[OCity]' role='dimension' semantic-role='[City].[Name]' type='nominal'>
</column>
<column aggregation='Avg' datatype='real' name='[OLat]' role='measure' semantic-role='[Geographical].[Latitude]' type='quantitative'>
</column>
<column aggregation='Avg' datatype='real' name='[OLong]' role='measure' semantic-role='[Geographical].[Longitude]' type='quantitative'>
</column>
<column datatype='string' name='[Origin]' role='dimension' type='nominal'>
</column>
<column datatype='string' name='[Regional Groups]' role='dimension' semantic-role='[City].[Name]' type='nominal'>
<calculation class='categorical-bin' column='[OCity]' default='"Yuma"'>
<bin value='"Albany"'>
<value>"Albany"</value>
<value>"Charlotte"</value>
<value>"Greensboro"</value>
<value>"Raleigh-durham"</value>
<value>"Richmond"</value>
<value>"Roanoke VA"</value>
<value>"Washington"</value>
</bin>
<bin value='"Aspen"'>
<value>"Aspen"</value>
<value>"Boise"</value>
<value>"Colorado Springs"</value>
<value>"Denver"</value>
<value>"Fresno"</value>
<value>"Hailey"</value>
<value>"Long Beach"</value>
<value>"Los Angeles"</value>
<value>"Oakland"</value>
<value>"Ontario"</value>
<value>"Palm Springs"</value>
<value>"Reno"</value>
<value>"San Diego"</value>
<value>"San Francisco"</value>
<value>"San Jose"</value>
</bin>
<bin value='"Austin"'>
<value>"Austin"</value>
<value>"Birmingham"</value>
<value>"Columbus"</value>
<value>"Dallas-Fort Worth"</value>
<value>"Greenville"</value>
<value>"Houston"</value>
<value>"Little Rock"</value>
<value>"Lubbock"</value>
<value>"Memphis"</value>
<value>"Miami"</value>
<value>"Midland"</value>
<value>"New Orleans"</value>
<value>"Oklahoma City"</value>
<value>"Sarasota"</value>
<value>"Tulsa"</value>
</bin>
<bin value='"Cedar Rapids"'>
<value>"Cedar Rapids"</value>
<value>"Chicago"</value>
<value>"Cincinnati"</value>
<value>"Cleveland"</value>
<value>"Detroit"</value>
<value>"Indianapolis"</value>
<value>"Kalamazoo"</value>
<value>"Kansas City"</value>
<value>"Louisville"</value>
<value>"Milwaukee"</value>
<value>"Minneapolis"</value>
<value>"Omaha"</value>
<value>"Pittsburgh"</value>
<value>"Portland"</value>
<value>"Rochester"</value>
<value>"St. Louis"</value>
</bin>
<bin value='"Islip"'>
<value>"Islip"</value>
<value>"New York"</value>
<value>"Newark"</value>
<value>"Philadelphia"</value>
<value>"Worcester"</value>
</bin>
</calculation>
<aliases>
<alias key='"Albany"' value='Mid-Atlantic' />
<alias key='"Aspen"' value='West' />
<alias key='"Austin"' value='South' />
<alias key='"Cedar Rapids"' value='Midwest' />
<alias key='"Islip"' value='Northeast' />
<alias key='"Yuma"' value='Other' />
</aliases>
</column>
<column datatype='date' datatype-customized='true' name='[Year]' role='dimension' type='quantitative'>
</column>
<column-instance column='[Month]' derivation='None' name='[none:Month:qk]' pivot='key' type='quantitative' />
<column-instance column='[OCity]' derivation='None' name='[none:OCity:nk]' pivot='key' type='nominal' />
<column-instance column='[OLat]' derivation='None' name='[none:OLat:qk]' pivot='key' type='quantitative' />
<column-instance column='[OLong]' derivation='None' name='[none:OLong:qk]' pivot='key' type='quantitative' />
<column-instance column='[Origin]' derivation='None' name='[none:Origin:nk]' pivot='key' type='nominal' />
<column-instance column='[02 Flight Count By Airport (copy)]' derivation='User' name='[usr:02 Flight Count By Airport (copy):qk:1]' pivot='key' type='quantitative'>
<table-calc ordering-field='[csv.41677.501581817130].[none:OCity:nk]' ordering-type='Field' />
</column-instance>
<column-instance column='[02 Flight Count By Months (copy 2)]' derivation='User' name='[usr:02 Flight Count By Months (copy 2):qk:1]' pivot='key' type='quantitative'>
<table-calc ordering-field='[csv.41677.501581817130].[none:OCity:nk]' ordering-type='Field' />
</column-instance>
<column-instance column='[02 Flight Count By Months (copy)]' derivation='User' name='[usr:02 Flight Count By Months (copy):qk:1]' pivot='key' type='quantitative'>
<table-calc ordering-field='[csv.41677.501581817130].[none:Month:qk]' ordering-type='Field' />
</column-instance>
<column-instance column='[03 Grab Coefficient Variables (copy)]' derivation='User' name='[usr:03 Grab Coefficient Variables (copy):ok]' pivot='key' type='ordinal'>
<table-calc ordering-type='Rows' />
<table-calc field='[csv.41677.501581817130].[Calculation_7320206215923342]' ordering-type='Rows' />
</column-instance>
<column-instance column='[Calculation_1340527151300682]' derivation='User' name='[usr:Calculation_1340527151300682:qk:1]' pivot='key' type='quantitative'>
<table-calc ordering-field='[csv.41677.501581817130].[none:Month:qk]' ordering-type='Field' />
</column-instance>
<group hidden='true' name='[Action (City,Origin)]' name-style='unqualified' user:auto-column='sheet_link'>
<groupfilter function='crossjoin'>
<groupfilter function='level-members' level='[City]' />
<groupfilter function='level-members' level='[Origin]' />
</groupfilter>
</group>
<group hidden='true' name='[Action (Month)]' name-style='unqualified' user:auto-column='sheet_link'>
<groupfilter function='crossjoin'>
<groupfilter function='level-members' level='[Month]' />
</groupfilter>
</group>
<group hidden='true' name='[Action (OCity)]' name-style='unqualified' user:auto-column='sheet_link'>
<groupfilter function='crossjoin'>
<groupfilter function='level-members' level='[OCity]' />
</groupfilter>
</group>
<group hidden='true' name='[Action (OCity,OLat,OLong,Origin)]' name-style='unqualified' user:auto-column='sheet_link'>
<groupfilter function='crossjoin'>
<groupfilter function='level-members' level='[OCity]' />
<groupfilter function='level-members' level='[none:OLat:qk]' />
<groupfilter function='level-members' level='[none:OLong:qk]' />
<groupfilter function='level-members' level='[Origin]' />
</groupfilter>
</group>
<group hidden='true' name='[Action (OCity,Origin)]' name-style='unqualified' user:auto-column='sheet_link'>
<groupfilter function='crossjoin'>
<groupfilter function='level-members' level='[OCity]' />
<groupfilter function='level-members' level='[Origin]' />
</groupfilter>
</group>
<group hidden='true' name='[Action (Origin)]' name-style='unqualified' user:auto-column='sheet_link'>
<groupfilter function='crossjoin'>
<groupfilter function='level-members' level='[Origin]' />
</groupfilter>
</group>
<group hidden='true' name='[Exclusions (City,Origin)]' name-style='unqualified' user:auto-column='exclude'>
<groupfilter function='crossjoin'>
<groupfilter function='level-members' level='[none:City:nk]' />
<groupfilter function='level-members' level='[none:Origin:nk]' />
</groupfilter>
</group>
<layout dim-ordering='alphabetic' dim-percentage='0.459783' measure-ordering='alphabetic' measure-percentage='0.327174' show-structure='true' />
<style>
<style-rule element='mark'>
<encoding attr='color' field='[:Measure Names]' type='palette'>
<map to='#1f77b4'>
<bucket>"[csv.41677.501581817130].[usr:02 Flight Count By Months (copy):qk:1]"</bucket>
</map>
<map to='#2ca02c'>
<bucket>"[csv.41677.501581817130]"</bucket>
</map>
<map to='#9467bd'>
<bucket>"[csv.41677.501581817130].[usr:02 Flight Count By Months (copy 2):qk:1]"</bucket>
</map>
<map to='#d62728'>
<bucket>"[csv.41677.501581817130].[usr:02 Flight Count By Airport (copy):qk:1]"</bucket>
</map>
<map to='#ff7f0e'>
<bucket>"[csv.41677.501581817130].[usr:Calculation_1340527151300682:qk:1]"</bucket>
</map>
</encoding>
<encoding attr='color' field='[usr:03 Grab Coefficient Variables (copy):ok]' type='palette'>
<map to='#1f77b4'>
<bucket>%null%</bucket>
</map>
<map to='#2ca02c'>
<bucket>-1</bucket>
</map>
<map to='#9467bd'>
<bucket>0</bucket>
</map>
<map to='#d62728'>
<bucket>1</bucket>
</map>
</encoding>
</style-rule>
</style>
<semantic-values>
<semantic-value key='[Country].[Name]' value='"United States"' />
</semantic-values>
<datasource-dependencies datasource='Parameters'>
<column caption='IP Address ' datatype='string' name='[Parameter 10]' param-domain-type='any' role='measure' type='nominal' value='"localhost"'>
<calculation class='tableau' formula='"localhost"' />
<desc>
<formatted-text>
<run>Input IP Address of server H2O is launched on</run>
</formatted-text>
</desc>
</column>
<column caption='Port' datatype='integer' name='[Parameter 11]' param-domain-type='any' role='measure' type='quantitative' value='54321'>
<calculation class='tableau' formula='54321' />
</column>
<column caption='Path To Data' datatype='string' name='[Parameter 12]' param-domain-type='any' role='measure' type='nominal' value='"https://github.com/0xdata/h2o/blob/master/smalldata/airlines/allyears2k_headers.zip?raw=true"'>
<calculation class='tableau' formula='"https://github.com/0xdata/h2o/blob/master/smalldata/airlines/allyears2k_headers.zip?raw=true"' />
</column>
<column caption='Beta' datatype='boolean' name='[Parameter 13]' param-domain-type='list' role='measure' type='nominal' value='true'>
<calculation class='tableau' formula='true' />
<members>
<member value='true' />
<member value='false' />
</members>
</column>
<column caption='Local H2O Heap Size' datatype='string' name='[Parameter 14]' param-domain-type='any' role='measure' type='nominal' value='"1g"'>
<calculation class='tableau' formula='"1g"' />
</column>
<column caption='(GLM) Lambda' datatype='string' name='[Parameter 15]' param-domain-type='any' role='measure' type='nominal' value='"1.0E-5"'>
<calculation class='tableau' formula='"1.0E-5"' />
</column>
<column caption='(GLM) Response Variable' datatype='string' name='[Parameter 1]' param-domain-type='any' role='measure' type='nominal' value='"Cancelled"'>
<calculation class='tableau' formula='"Cancelled"' />
</column>
<column caption='(GLM) Predictor Variables' datatype='string' name='[Parameter 2]' param-domain-type='any' role='measure' type='nominal' value='"Origin,Dest,UniqueCarrier"'>
<calculation class='tableau' formula='"Origin,Dest,UniqueCarrier"' />
</column>
<column caption='(GLM) Alpha' datatype='real' name='[Parameter 3]' param-domain-type='range' role='measure' type='quantitative' value='1.0'>
<calculation class='tableau' formula='1.0' />
<range granularity='0.25' max='1.0' min='0.0' />
</column>
<column caption='(GLM) Cross Validation N-Folds' datatype='integer' name='[Parameter 4]' param-domain-type='range' role='measure' type='quantitative' value='0'>
<calculation class='tableau' formula='0' />
<range granularity='1' min='0' />
</column>
<column caption='(GLM) Family' datatype='string' name='[Parameter 5]' param-domain-type='list' role='measure' type='nominal' value='"binomial"'>
<calculation class='tableau' formula='"binomial"' />
<members>
<member value='"gaussian"' />
<member value='"binomial"' />
<member value='"poisson"' />
<member value='"gamma"' />
<member value='"tweedie"' />
</members>
</column>
<column caption='(GLM) Model Name' datatype='string' name='[Parameter 6]' param-domain-type='any' role='measure' type='nominal' value='"data.glm"'>
<calculation class='tableau' formula='"data.glm"' />
</column>
</datasource-dependencies>
</datasource>
</datasources>
<mapsources>
<mapsource name='Online' />
</mapsources>
<actions>
<action caption='Filter' name='[Action1]'>
<source dashboard='Flight Cancellation Dashboard' type='sheet' />
<command command='tsc:tsl-filter'>
<param name='special-fields' value='all' />
<param name='target' value='Flight Cancellation Dashboard' />
</command>
</action>
<action caption='Highlight1' name='[Action3]'>
<activation auto-clear='true' type='on-select' />
<source dashboard='Flight Cancellation Dashboard' type='sheet' />
<command command='tsc:brush'>
<param name='special-fields' value='all' />
<param name='target' value='Flight Cancellation Dashboard' />
</command>
</action>
<action caption='Filter2' name='[Action4]'>
<activation auto-clear='true' type='on-select' />
<source dashboard='Flight Cancellation Dashboard' type='sheet' />
<command command='tsc:tsl-filter'>
<param name='special-fields' value='all' />
<param name='target' value='Flight Cancellation Dashboard' />
</command>
</action>
<action caption='Highlight2' name='[Action5]'>
<activation auto-clear='true' />
<source dashboard='Flight Cancellation Dashboard' type='sheet' />
<command command='tsc:brush'>
<param name='special-fields' value='all' />
<param name='target' value='Flight Cancellation Dashboard' />
</command>
</action>
</actions>
<worksheets>
<worksheet lock-quick-filters='true' name='AUC'>
<layout-options>
<title>
<formatted-text>
<run fontalignment='1' fontcolor='#26794a'><</run>
<run fontalignment='1' fontcolor='#26794a'>Sheet Name</run>
<run fontalignment='1' fontcolor='#26794a'>></run>
</formatted-text>
</title>
</layout-options>
<table>
<view>
<datasources>
<datasource caption='airlines_meta' name='csv.41677.501581817130' />
</datasources>
<datasource-dependencies datasource='csv.41677.501581817130'>
<column caption='AUC Value' datatype='real' name='[Calculation_2510527224812934]' role='measure' type='quantitative'>
<calculation class='tableau' formula='script_real(" data.glm@model$auc ", INDEX() )' scope-isolation='false'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column-instance column='[Calculation_2510527224812934]' derivation='User' name='[usr:Calculation_2510527224812934:qk]' pivot='key' type='quantitative'>
<table-calc ordering-type='Rows' />
</column-instance>
</datasource-dependencies>
<filter class='categorical' column='[csv.41677.501581817130].[Action (OCity)]'>
<groupfilter function='level-members' level='[OCity]' user:ui-enumeration='all' user:ui-marker='enumerate' />
</filter>
<filter class='categorical' column='[csv.41677.501581817130].[Action (OCity,OLat,OLong,Origin)]'>
<groupfilter function='crossjoin' user:ui-enumeration='all' user:ui-marker='enumerate'>
<groupfilter function='level-members' level='[OCity]' />
<groupfilter function='level-members' level='[none:OLat:qk]' />
<groupfilter function='level-members' level='[none:OLong:qk]' />
<groupfilter function='level-members' level='[Origin]' />
</groupfilter>
</filter>
<filter class='categorical' column='[csv.41677.501581817130].[Action (OCity,Origin)]'>
<groupfilter function='crossjoin' user:ui-enumeration='all' user:ui-marker='enumerate'>
<groupfilter function='level-members' level='[OCity]' />
<groupfilter function='level-members' level='[Origin]' />
</groupfilter>
</filter>
<slices>
<column>[csv.41677.501581817130].[Action (OCity,OLat,OLong,Origin)]</column>
<column>[csv.41677.501581817130].[Action (OCity)]</column>
<column>[csv.41677.501581817130].[Action (OCity,Origin)]</column>
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<run fontcolor='#000000' fontsize='11'>Outgoing flights and Cancellations by Airport</run>
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<datasource caption='airlines_meta' name='csv.41677.501581817130' />
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<column caption='Cancellation Count By Airport' datatype='integer' name='[02 Flight Count By Airport (copy)]' role='measure' type='ordinal'>
<calculation class='tableau' formula='script_int(" ## match to the correct row idx4 = match( .arg1 , origin_canFlights.R$Origin ) print(origin_canFlights.R[idx4,]$C1) origin_canFlights.R[idx4,]$C1 ", ATTR([Origin]))' scope-isolation='false'>
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