<chart showlegend="1" legendPosition='bottom' caption="Heat Map of U.S. Exports by International Region and Category, 2011" 
subCaption="Values in $ billions" 
numberPrefix="$"
showLabels="1"
decimals="1" 
formatNumberScale="1" 
formatNumber="1"
numberScaleValue="1000" 
numberScaleUnit="B" 
forceDecimals="1" 
animation="1"
manageLabelOverflow='1'
maxLabelWidthPercent='20'
exportEnabled="1" exportAtClient="1" exportHandler="fcExporter2" showExportDataMenuItem="1" exportFileName="ExportHeatMap"
showPrintMenuItem="0" showAboutMenuItem="0" subCaption="Source: U.S. Census Bureau"
tlType="% of Category (Row)" brType="% of Region (Column)">

<styles>
	<definition>
		<style name='tlLabelFont' type='font' size='9' color='000000'/>
		<style name='blLabelFont' type='font' size='9' color='000000'/>
		<style name='trLabelFont' type='font' size='9' color='000000'/>
		<style name='brLabelFont' type='font' size='9' color='000000'/>
		<style name='datavaluesFont' type='font' size='11' color='000000' bold='1'/>
	</definition>
	<application>
		<apply toObject='tldatavalues' styles='tlLabelFont'/>
		<apply toObject='bldatavalues' styles='blLabelFont'/>
		<apply toObject='trdatavalues' styles='tlLabelFont'/>
		<apply toObject='brdatavalues' styles='blLabelFont'/>
		<apply toObject='datavalues' styles='datavaluesFont'/>
	</application>
</styles>

<rows>
	<row id='Foods' label = 'Foods, Feeds, & Beverages'/>
	<row id='Industrial Supplies' label='Industrial Supplies'/>
	<row id='Capital Goods' label='Capital Goods'/>
	<row id='Automotive' label='Automotive'/>
	<row id='Consumer Goods' label='Consumer Goods'/>
</rows>

<columns>
	<column id='Africa'  label='Africa'/>
	<column id='Asia' label='Asia'/>
	<column id='Australia & Oceania' label='Australia & Oceania'/>
	<column id='Europe' label='Europe'/>
	<column id='North America' label='N. America'/>
	<column id='South America' label='S. America'/>
</columns>
	
<dataset>
	<set rowId='Foods' columnId='Africa' value='6603.3' tlLabel='5.2%' brLabel='20.2%'/>
	<set rowId='Foods' columnId='Asia' value='56414.6' tlLabel='44.8%' brLabel='12.8%'/>
	<set rowId='Foods' columnId='Australia & Oceania' value='1799.0' tlLabel='1.4%' brLabel='5.6%'/>
	<set rowId='Foods' columnId='Europe' value='12242.9' tlLabel='9.7%' brLabel='3.7%'/>
	<set rowId='Foods' columnId='North America' value='38001.9' tlLabel='30.2%' brLabel='7.9%'/>
	<set rowId='Foods' columnId='South America' value='10860.4' tlLabel='8.6%' brLabel='6.4%'/>
	
	<set rowId='Industrial Supplies' columnId='Africa' value='8698.8' tlLabel='1.7%' brLabel='26.5%'/>
	<set rowId='Industrial Supplies' columnId='Asia' value='135023.3' tlLabel='27.0%' brLabel='30.7%'/>
	<set rowId='Industrial Supplies' columnId='Australia & Oceania' value='5238.4' tlLabel='1.0%' brLabel='16.4%'/>
	<set rowId='Industrial Supplies' columnId='Europe' value='117359.2' tlLabel='23.5%' brLabel='35.7%'/>
	<set rowId='Industrial Supplies' columnId='North America' value='159054.2' tlLabel='31.8%' brLabel='33.3%'/>
	<set rowId='Industrial Supplies' columnId='South America' value='74101.8'  tlLabel='14.8%' brLabel='43.9%'/>
	
	<set rowId='Capital Goods' columnId='Africa' value='11066.3' tlLabel='2.3%' brLabel='33.8%'/>
	<set rowId='Capital Goods' columnId='Asia' value='162993.4' tlLabel='33.2%' brLabel='37.1%'/>
	<set rowId='Capital Goods' columnId='Australia & Oceania' value='15522.1' tlLabel='3.2%' brLabel='48.6%'/>
	<set rowId='Capital Goods' columnId='Europe' value='110611.1' tlLabel='22.5%' brLabel='33.6%'/>
	<set rowId='Capital Goods' columnId='North America' value='136454.5' tlLabel='27.8%' brLabel='28.5%'/>
	<set rowId='Capital Goods' columnId='South America' value='54750.5' tlLabel='11.1%' brLabel='32.4%'/>
	
	<set rowId='Automotive' columnId='Africa' value='3248.1' tlLabel='2.5%' brLabel='9.9%'/>
	<set rowId='Automotive' columnId='Asia' value='24238.3' tlLabel='18.3%' brLabel='5.5%'/>
	<set rowId='Automotive' columnId='Australia & Oceania' value='2673.2' tlLabel='2.0%' brLabel='8.4%'/>
	<set rowId='Automotive' columnId='Europe' value='16749.9' tlLabel='12.6%' brLabel='5.1%'/>
	<set rowId='Automotive' columnId='North America' value='79265.8' tlLabel='59.8%' brLabel='16.6%'/>
	<set rowId='Automotive' columnId='South America' value='6343.1' tlLabel='4.8%' brLabel='3.8%'/>
	
	<set rowId='Consumer Goods' columnId='Africa' value='1624.5' tlLabel='0.9%' brLabel='5.0%'/>
	<set rowId='Consumer Goods' columnId='Asia' value='46021.3' tlLabel='26.1%' brLabel='10.5%'/>
	<set rowId='Consumer Goods' columnId='Australia & Oceania' value='4249.9' tlLabel='2.4%' brLabel='13.3%'/>
	<set rowId='Consumer Goods' columnId='Europe' value='57977.7' tlLabel='32.9%' brLabel='17.6%'/>
	<set rowId='Consumer Goods' columnId='North America' value='50527.0' tlLabel='28.7%' brLabel='10.6%'/>
	<set rowId='Consumer Goods' columnId='South America' value='15859.1' tlLabel='9.0%' brLabel='9.4%'/>

</dataset>

<colorRange gradient='1' minValue='0' code='FFFFFF' startlabel='0' endLabel="$165 Billion">
        <color code ='3366CC'  maxValue='165000' />        
</colorRange>


</chart>
