Demo_Template_8.1.twb

<?xml version='1.0' encoding='utf-8' ?>

<workbook version='8.2' xmlns:user='http://www.tableausoftware.com/xml/user'>
  <!-- build 8100.13.1231.1350                -->
  <preferences>
  </preferences>
  <datasources>
    <datasource hasconnection='false' inline='true' name='Parameters' version='8.2'>
      <aliases enabled='yes' />
      <column caption='IP Address ' datatype='string' name='[Parameter 10]' param-domain-type='any' role='measure' type='nominal' value='&quot;localhost&quot;'>
        <calculation class='tableau' formula='&quot;localhost&quot;' />
        <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='&quot;https://github.com/0xdata/h2o/blob/master/smalldata/airlines/allyears2k_headers.zip?raw=true&quot;'>
        <calculation class='tableau' formula='&quot;https://github.com/0xdata/h2o/blob/master/smalldata/airlines/allyears2k_headers.zip?raw=true&quot;' />
      </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='&quot;1g&quot;'>
        <calculation class='tableau' formula='&quot;1g&quot;' />
      </column>
      <column caption='(GLM) Lambda' datatype='string' name='[Parameter 15]' param-domain-type='any' role='measure' type='nominal' value='&quot;1.0E-5&quot;'>
        <calculation class='tableau' formula='&quot;1.0E-5&quot;' />
      </column>
      <column caption='(GLM) Response Variable' datatype='string' name='[Parameter 1]' param-domain-type='any' role='measure' type='nominal' value='&quot;Cancelled&quot;'>
        <calculation class='tableau' formula='&quot;Cancelled&quot;' />
      </column>
      <column caption='(GLM) Predictor Variables' datatype='string' name='[Parameter 2]' param-domain-type='any' role='measure' type='nominal' value='&quot;Origin,Dest,UniqueCarrier&quot;'>
        <calculation class='tableau' formula='&quot;Origin,Dest,UniqueCarrier&quot;' />
      </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='&quot;binomial&quot;'>
        <calculation class='tableau' formula='&quot;binomial&quot;' />
        <members>
          <member value='&quot;gaussian&quot;' />
          <member value='&quot;binomial&quot;' />
          <member value='&quot;poisson&quot;' />
          <member value='&quot;gamma&quot;' />
          <member value='&quot;tweedie&quot;' />
        </members>
      </column>
      <column caption='(GLM) Model Name' datatype='string' name='[Parameter 6]' param-domain-type='any' role='measure' type='nominal' value='&quot;data.glm&quot;'>
        <calculation class='tableau' formula='&quot;data.glm&quot;' />
      </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='&quot;data.km&quot;'>
        <calculation class='tableau' formula='&quot;data.km&quot;' />
      </column>
      <column caption='(K-means) Eval Cols' datatype='string' name='[Parameter 9]' param-domain-type='list' role='measure' type='nominal' value='&quot;AllAvailableColumns&quot;'>
        <calculation class='tableau' formula='&quot;AllAvailableColumns&quot;' />
        <members>
          <member value='&quot;AllAvailableColumns&quot;' />
          <member value='&quot;Year&quot;' />
          <member value='&quot;Month&quot;' />
          <member value='&quot;DayofMonth&quot;' />
          <member value='&quot;DayOfWeek&quot;' />
          <member value='&quot;DepTime&quot;' />
          <member value='&quot;CRSDepTime&quot;' />
          <member value='&quot;ArrTime&quot;' />
          <member value='&quot;CRSArrTime&quot;' />
          <member value='&quot;UniqueCarrier&quot;' />
          <member value='&quot;FlightNum&quot;' />
          <member value='&quot;TailNum&quot;' />
          <member value='&quot;ActualElapsedTime&quot;' />
          <member value='&quot;CRSElapsedTime&quot;' />
          <member value='&quot;AirTime&quot;' />
          <member value='&quot;ArrDelay&quot;' />
          <member value='&quot;DepDelay&quot;' />
          <member value='&quot;Origin&quot;' />
          <member value='&quot;Dest&quot;' />
          <member value='&quot;Distance&quot;' />
          <member value='&quot;TaxiIn&quot;' />
          <member value='&quot;TaxiOut&quot;' />
          <member value='&quot;Cancelled&quot;' />
          <member value='&quot;CancellationCode&quot;' />
          <member value='&quot;Diverted&quot;' />
          <member value='&quot;CarrierDelay&quot;' />
          <member value='&quot;WeatherDelay&quot;' />
          <member value='&quot;NASDelay&quot;' />
          <member value='&quot;SecurityDelay&quot;' />
          <member value='&quot;LateAircraftDelay&quot;' />
          <member value='&quot;IsArrDelayed&quot;' />
          <member value='&quot;IsDepDelayed&quot;' />
          <member value='&quot;City&quot;' />
        </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='8.2'>
      <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' />
      </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(&quot;&#13;&#10;## match to the correct row&#13;&#10;idx4 = match( .arg1 , origin_canFlights.R$Origin ) &#13;&#10;print(origin_canFlights.R[idx4,]$C1)&#13;&#10;origin_canFlights.R[idx4,]$C1&#13;&#10;&quot;,&#13;&#10;ATTR([Origin])&#13;&#10;)' scope-isolation='false'>
          <table-calc ordering-type='Rows' />
        </calculation>
      </column>
      <column caption='Flight Count By Airport' datatype='integer' name='[02 Flight Count By Months (copy 2)]' role='measure' type='ordinal'>
        <calculation class='tableau' formula='script_int(&quot;&#13;&#10;## match to the correct row&#13;&#10;idx3 = match( .arg1 , originFlights.R$Origin ) &#13;&#10;print(originFlights.R[idx3,]$C1)&#13;&#10;originFlights.R[idx3,]$C1&#13;&#10;&quot;,&#13;&#10;ATTR([Origin])&#13;&#10;)' 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(&quot;&#13;&#10;## match to the correct row&#13;&#10;idx2 = match( .arg1 , canFlights.R$Month ) &#13;&#10;print(canFlights.R[idx2,]$C1)&#13;&#10;if ( !is.na( .arg1 ) ) { canFlights.R[idx2,]$C1&#13;&#10;} else {&apos;Filter out Null values&apos;}&#13;&#10;&quot;,&#13;&#10;ATTR([Month])&#13;&#10;)' scope-isolation='false'>
          <table-calc ordering-type='Rows' />
        </calculation>
      </column>
      <column caption='(GLM) 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='00 Load H2O and Tableau functions' datatype='string' name='[Calculation_0500424135127287]' role='dimension' type='nominal'>
        <calculation class='tableau' formula='SCRIPT_STR(&quot;&#13;&#10;## Load H2O&apos;s client R package&#13;&#10;library(h2o)&#13;&#10;&#13;&#10;## Tableau High NA Count&#13;&#10;tableau.ignoreColumns &lt;- function (ignore_col , predictorVariable ) {&#13;&#10;if( predictorVariable %in% ignore_col ) { print( &apos;High NA Count&apos; )&#13;&#10;} else {print( &apos;Normal&apos; )}&#13;&#10;}&#13;&#10;&#13;&#10;## Tableau grab coefficients corresponding to predictor variable&#13;&#10;tableau_catFormat &lt;- function( modelKey , variableStr, predictorVariable) {&#13;&#10;if( typeof(modelKey) != &apos;S4&apos;) print(&apos;Model Key is not in expected format of S4&apos;)&#13;&#10;if( is.character(variableStr) != TRUE) print(&apos;Input column is not in expected format of string&apos;)&#13;&#10;if( is.character(predictorVariable) != TRUE) print(&apos;Input variables is not in expected format of string&apos;)&#13;&#10;glmModelTemp        = modelKey&#13;&#10;modelCoeff          = modelKey@model$coefficients&#13;&#10;modelCoeff          = modelKey@model$coefficients&#13;&#10;idx                 = grep( variableStr , names(modelCoeff))&#13;&#10;modelCoeff2        = modelCoeff[idx]&#13;&#10;variableNames       = unlist(strsplit(names(modelCoeff2),split=&apos;.&apos;,fixed=TRUE))&#13;&#10;variableNamesMatrix = matrix(variableNames, ncol=2, byrow=TRUE)&#13;&#10;variableList        = variableNamesMatrix[,2]&#13;&#10;names(modelCoeff2)  = variableList&#13;&#10;setDiff             = setdiff(.arg1,variableList)&#13;&#10;nullVec             = rep(0,length(setDiff))&#13;&#10;names(nullVec)      = setDiff&#13;&#10;newCoefficientList  = c(modelCoeff2, nullVec)&#13;&#10;tableau_input       = newCoefficientList[predictorVariable]&#13;&#10;tableau_input}&#13;&#10;&#13;&#10;print(&apos;Finish setting up Tableau functions&apos;)&#13;&#10;&apos;Finish setting up Tableau functions&apos;&#13;&#10;&quot;,&#13;&#10;&quot;&quot;)' scope-isolation='false'>
          <table-calc ordering-type='Rows' />
        </calculation>
      </column>
      <column caption='Option : Null' datatype='real' name='[Calculation_0840422201739178]' role='measure' type='quantitative'>
        <calculation class='tableau' formula='IIF([Calculation_7320206215923342]==0,Null,[Calculation_7320206215923342])' scope-isolation='false'>
          <table-calc ordering-type='Rows' />
        </calculation>
      </column>
      <column caption='Flight Count By Months' datatype='integer' name='[Calculation_1340527151300682]' role='measure' type='ordinal'>
        <calculation class='tableau' formula='script_int(&quot;&#13;&#10;## match to the correct row&#13;&#10;idx = match( .arg1 , numFlights.R$Month ) &#13;&#10;print(numFlights.R[idx,]$C1)&#13;&#10;if ( !is.na( .arg1 ) ) { numFlights.R[idx,]$C1&#13;&#10;} else {&apos;Filter out Null values&apos;}&#13;&#10;&quot;,&#13;&#10;ATTR([Month])&#13;&#10;)' scope-isolation='false'>
          <table-calc ordering-type='Rows' />
        </calculation>
      </column>
      <column caption='(GLM) AUC Value' datatype='real' name='[Calculation_2510527224812934]' role='measure' type='quantitative'>
        <calculation class='tableau' formula='script_real(&quot;&#13;&#10;data.glm@model$auc&#13;&#10;&quot;,&#13;&#10;INDEX() &#13;&#10;)' scope-isolation='false'>
          <table-calc ordering-type='Rows' />
        </calculation>
      </column>
      <column caption='01 Init H2O &amp; Parse Data' datatype='string' name='[Calculation_2960206151848632]' role='dimension' type='nominal'>
        <calculation class='tableau' formula='SCRIPT_STR(&quot;&#13;&#10;print(&apos;Starting H2O&apos;)&#13;&#10;h2oLocal=h2o.init( ip = .arg1, port = .arg2, max_mem_size = .arg3, beta = .arg4, nthreads = -1)&#13;&#10;print(&apos;Importing data into H2O&apos;)&#13;&#10;data.hex = h2o.importFile(h2oLocal, path = .arg5)&#13;&#10;&quot;,&#13;&#10;[Parameters].[Parameter 10],[Parameters].[Parameter 11],[Parameters].[Parameter 14],[Parameters].[Parameter 13],[Parameters].[Parameter 12])' scope-isolation='false'>
          <table-calc ordering-type='Rows' />
        </calculation>
      </column>
      <column caption='02 Compute Aggregation with H2O&apos;s h2o.ddply' datatype='string' name='[Calculation_6260902222221692]' role='dimension' type='nominal'>
        <calculation class='tableau' formula='Script_STR(&quot;&#13;&#10;print(&apos;Grouping flights by months...&apos;)&#13;&#10;## h2o.ddply, find the length of each month&#13;&#10;numFlights = h2o.ddply(data.hex, &apos;Month&apos;, nrow)&#13;&#10;numFlights.R = as.data.frame(numFlights)&#13;&#10;print(numFlights.R)&#13;&#10;&#13;&#10;print(&apos;Grouping number of cancellations by months...&apos;)&#13;&#10;## h2o.ddply, find the sum of the cancellation column for each month&#13;&#10;fun2 = function(df) {sum(df$Cancelled)}&#13;&#10;h2o.addFunction(h2oLocal, fun2)&#13;&#10;canFlights = h2o.ddply(data.hex, &apos;Month&apos;, fun2)&#13;&#10;canFlights.R = as.data.frame(canFlights)&#13;&#10;print(canFlights.R)&#13;&#10;print(&apos;Finish aggregating by month&apos;)&#13;&#10;&#13;&#10;print(&apos;Grouping flights by airport...&apos;)&#13;&#10;## h2o.ddply, find the length of each airport&#13;&#10;originFlights = h2o.ddply(data.hex, &apos;Origin&apos;, nrow)&#13;&#10;originFlights.R = as.data.frame(originFlights)&#13;&#10;print(canFlights.R)&#13;&#10;&#13;&#10;print(&apos;Grouping number of cancellations by airport...&apos;)&#13;&#10;## h2o.ddply, find the sum of the cancellation column for each airport&#13;&#10;origin_canFlights = h2o.ddply(data.hex, &apos;Origin&apos;, fun2)&#13;&#10;origin_canFlights.R = as.data.frame(origin_canFlights)&#13;&#10;print(origin_canFlights.R)&#13;&#10;print(&apos;Finish aggregating by airport&apos;)&#13;&#10;&#13;&#10;&quot;,&#13;&#10;&quot;&quot;)' scope-isolation='false'>
          <table-calc ordering-type='Rows' />
        </calculation>
      </column>
      <column caption='(GLM) Variable Coefficients' datatype='real' name='[Calculation_7320206215923342]' role='measure' type='ordinal'>
        <calculation class='tableau' formula='SCRIPT_REAL(&quot;glmModelTemp = eval(parse(text = .arg3 ))&#13;&#10;tableau_catFormat( glmModelTemp, .arg1 , .arg2)&quot;,&#13;&#10;&apos;Origin&apos;, 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='dimension' type='nominal'>
        <calculation class='tableau' formula='SCRIPT_STR(&quot; &#13;&#10;xvars = unlist( strsplit( .arg2, split = &apos;,&apos; , fixed = TRUE ) )&#13;&#10;print( &apos;break&apos;)&#13;&#10;print( xvars )&#13;&#10;print( .arg3 )&#13;&#10;print( data.hex )&#13;&#10;print( .arg4 )&#13;&#10;print( .arg5 )&#13;&#10;print( .arg6 )&#13;&#10;print( .arg7 )&#13;&#10;data.glm = h2o.glm(x = xvars , y = .arg3, data = data.hex, family = .arg4, nfolds = .arg5, standardize=TRUE)&#13;&#10;&#13;&#10;print(data.glm)&#13;&#10;&#13;&#10;&quot;,&#13;&#10;[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='dimension' type='nominal'>
        <calculation class='tableau' formula='SCRIPT_STR(&quot;&#13;&#10;## h2o.ddply, find the length of each month&#13;&#10;originFlights = h2o.ddply(data.hex, &apos;Origin&apos;, nrow)&#13;&#10;originFlights.R = as.data.frame(originFlights)&#13;&#10;print(canFlights.R)&#13;&#10;&#13;&#10;## h2o.ddply, find the length of each month&#13;&#10;origin_canFlights = h2o.ddply(data.hex, &apos;Origin&apos;, fun2)&#13;&#10;origin_canFlights.R = as.data.frame(origin_canFlights)&#13;&#10;print(origin_canFlights.R)&#13;&#10;&#13;&#10;&#13;&#10;&quot;,&#13;&#10;&quot;&quot;)' 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='&quot;Yuma&quot;'>
          <bin value='&quot;Albany&quot;'>
            <value>&quot;Albany&quot;</value>
            <value>&quot;Charlotte&quot;</value>
            <value>&quot;Greensboro&quot;</value>
            <value>&quot;Raleigh-durham&quot;</value>
            <value>&quot;Richmond&quot;</value>
            <value>&quot;Roanoke VA&quot;</value>
            <value>&quot;Washington&quot;</value>
          </bin>
          <bin value='&quot;Aspen&quot;'>
            <value>&quot;Aspen&quot;</value>
            <value>&quot;Boise&quot;</value>
            <value>&quot;Colorado Springs&quot;</value>
            <value>&quot;Denver&quot;</value>
            <value>&quot;Fresno&quot;</value>
            <value>&quot;Hailey&quot;</value>
            <value>&quot;Long Beach&quot;</value>
            <value>&quot;Los Angeles&quot;</value>
            <value>&quot;Oakland&quot;</value>
            <value>&quot;Ontario&quot;</value>
            <value>&quot;Palm Springs&quot;</value>
            <value>&quot;Reno&quot;</value>
            <value>&quot;San Diego&quot;</value>
            <value>&quot;San Francisco&quot;</value>
            <value>&quot;San Jose&quot;</value>
          </bin>
          <bin value='&quot;Austin&quot;'>
            <value>&quot;Austin&quot;</value>
            <value>&quot;Birmingham&quot;</value>
            <value>&quot;Columbus&quot;</value>
            <value>&quot;Dallas-Fort Worth&quot;</value>
            <value>&quot;Greenville&quot;</value>
            <value>&quot;Houston&quot;</value>
            <value>&quot;Little Rock&quot;</value>
            <value>&quot;Lubbock&quot;</value>
            <value>&quot;Memphis&quot;</value>
            <value>&quot;Miami&quot;</value>
            <value>&quot;Midland&quot;</value>
            <value>&quot;New Orleans&quot;</value>
            <value>&quot;Oklahoma City&quot;</value>
            <value>&quot;Sarasota&quot;</value>
            <value>&quot;Tulsa&quot;</value>
          </bin>
          <bin value='&quot;Cedar Rapids&quot;'>
            <value>&quot;Cedar Rapids&quot;</value>
            <value>&quot;Chicago&quot;</value>
            <value>&quot;Cincinnati&quot;</value>
            <value>&quot;Cleveland&quot;</value>
            <value>&quot;Detroit&quot;</value>
            <value>&quot;Indianapolis&quot;</value>
            <value>&quot;Kalamazoo&quot;</value>
            <value>&quot;Kansas City&quot;</value>
            <value>&quot;Louisville&quot;</value>
            <value>&quot;Milwaukee&quot;</value>
            <value>&quot;Minneapolis&quot;</value>
            <value>&quot;Omaha&quot;</value>
            <value>&quot;Pittsburgh&quot;</value>
            <value>&quot;Portland&quot;</value>
            <value>&quot;Rochester&quot;</value>
            <value>&quot;St. Louis&quot;</value>
          </bin>
          <bin value='&quot;Islip&quot;'>
            <value>&quot;Islip&quot;</value>
            <value>&quot;New York&quot;</value>
            <value>&quot;Newark&quot;</value>
            <value>&quot;Philadelphia&quot;</value>
            <value>&quot;Worcester&quot;</value>
          </bin>
        </calculation>
        <aliases>
          <alias key='&quot;Albany&quot;' value='Mid-Atlantic' />
          <alias key='&quot;Aspen&quot;' value='West' />
          <alias key='&quot;Austin&quot;' value='South' />
          <alias key='&quot;Cedar Rapids&quot;' value='Midwest' />
          <alias key='&quot;Islip&quot;' value='Northeast' />
          <alias key='&quot;Yuma&quot;' 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' />
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      <semantic-values>
        <semantic-value key='[Country].[Name]' value='&quot;United States&quot;' />
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      <datasource-dependencies datasource='Parameters'>
        <column caption='IP Address ' datatype='string' name='[Parameter 10]' param-domain-type='any' role='measure' type='nominal' value='&quot;localhost&quot;'>
          <calculation class='tableau' formula='&quot;localhost&quot;' />
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            <formatted-text>
              <run>Input IP Address of server H2O is launched on</run>
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        <column caption='Port' datatype='integer' name='[Parameter 11]' param-domain-type='any' role='measure' type='quantitative' value='54321'>
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        <column caption='Path To Data' datatype='string' name='[Parameter 12]' param-domain-type='any' role='measure' type='nominal' value='&quot;https://github.com/0xdata/h2o/blob/master/smalldata/airlines/allyears2k_headers.zip?raw=true&quot;'>
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        <column caption='Beta' datatype='boolean' name='[Parameter 13]' param-domain-type='list' role='measure' type='nominal' value='true'>
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        <column caption='Local H2O Heap Size' datatype='string' name='[Parameter 14]' param-domain-type='any' role='measure' type='nominal' value='&quot;1g&quot;'>
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        <column caption='(GLM) Lambda' datatype='string' name='[Parameter 15]' param-domain-type='any' role='measure' type='nominal' value='&quot;1.0E-5&quot;'>
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        <column caption='(GLM) Response Variable' datatype='string' name='[Parameter 1]' param-domain-type='any' role='measure' type='nominal' value='&quot;Cancelled&quot;'>
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        <column caption='(GLM) Cross Validation N-Folds' datatype='integer' name='[Parameter 4]' param-domain-type='range' role='measure' type='quantitative' value='0'>
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          <members>
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            <member value='&quot;binomial&quot;' />
            <member value='&quot;poisson&quot;' />
            <member value='&quot;gamma&quot;' />
            <member value='&quot;tweedie&quot;' />
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        <column caption='(GLM) Model Name' datatype='string' name='[Parameter 6]' param-domain-type='any' role='measure' type='nominal' value='&quot;data.glm&quot;'>
          <calculation class='tableau' formula='&quot;data.glm&quot;' />
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    <mapsource name='Online' />
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        <param name='target' value='Flight Cancellation Dashboard' />
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    <action caption='Highlight1' name='[Action3]'>
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        <param name='target' value='Flight Cancellation Dashboard' />
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        <param name='target' value='Flight Cancellation Dashboard' />
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    <action caption='Highlight2' name='[Action5]'>
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      <source dashboard='Flight Cancellation Dashboard' type='sheet' />
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        <param name='target' value='Flight Cancellation Dashboard' />
      </command>
    </action>
  </actions>
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      </layout-options>
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            <datasource caption='airlines_meta' name='csv.41677.501581817130' />
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              </calculation>
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              <groupfilter function='level-members' level='[OCity]' />
              <groupfilter function='level-members' level='[Origin]' />
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            <column>[csv.41677.501581817130].[Action (OCity)]</column>
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        <title>
          <formatted-text>
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            </column>
            <column caption='Flight Count By Airport' datatype='integer' name='[02 Flight Count By Months (copy 2)]' role='measure' type='ordinal'>
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          <sort class='manual' column='[csv.41677.501581817130].[none:OCity:nk]' direction='ASC'>
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              <bucket>&quot;BJI&quot;</bucket>
              <bucket>&quot;ANI&quot;</bucket>
              <bucket>&quot;PVU&quot;</bucket>
              <bucket>&quot;PIR&quot;</bucket>
              <bucket>&quot;OGD&quot;</bucket>
              <bucket>&quot;MKC&quot;</bucket>
              <bucket>&quot;GLH&quot;</bucket>
              <bucket>&quot;FMN&quot;</bucket>
              <bucket>&quot;CYS&quot;</bucket>
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