<chart showlegend="1" legendPosition='bottom' caption="Heat Map of U.S. Imports by International Region and Category, 2011" 
subCaption="Values in $ billions" 
numberPrefix="$"
showLabels="1"
decimals="1" 
formatNumberScale="1" 
numberScaleValue="1000" 
numberScaleUnit="B" 
forceDecimals="1" 
animation="1"
manageLabelOverflow='1'
maxLabelWidthPercent='20'
exportEnabled="1" exportAtClient="1" exportHandler="fcExporter" showExportDataMenuItem="1" exportFileName="ImportHeatMap"
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='12' 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'/>
	<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='2313.7' tlLabel='2.2%' brLabel='2.5%'/>
	<set rowId='Foods' columnId='Asia' value='22412.9' tlLabel='20.9%' brLabel='2.5%'/>
	<set rowId='Foods' columnId='Australia & Oceania' value='4267.1' tlLabel='4.0%' brLabel='30.8%'/>
	<set rowId='Foods' columnId='Europe' value='21961.9' tlLabel='20.4%' brLabel='4.9%'/>
	<set rowId='Foods' columnId='North America' value='36902.6' tlLabel='34.3%' brLabel='6.4%'/>
	<set rowId='Foods' columnId='South America' value='19583.8' tlLabel='18.2%' brLabel='11.3%'/>
	
	<set rowId='Industrial Supplies' columnId='Africa' value='82808.3' tlLabel='10.9%' brLabel='89.1%'/>
	<set rowId='Industrial Supplies' columnId='Asia' value='174121.3' tlLabel='23.0%' brLabel='19.4%'/>
	<set rowId='Industrial Supplies' columnId='Australia & Oceania' value='4891.9' tlLabel='0.6%' brLabel='35.3%'/>
	<set rowId='Industrial Supplies' columnId='Europe' value='127578.6' tlLabel='16.9%' brLabel='28.5%'/>
	<set rowId='Industrial Supplies' columnId='North America' value='247047.1' tlLabel='32.7%' brLabel='42.6%'/>
	<set rowId='Industrial Supplies' columnId='South America' value='120100.3' tlLabel='15.9%' brLabel='69.4%'/>
	
	<set rowId='Capital Goods' columnId='Africa' value='565.9' tlLabel='0.1%' brLabel='0.6%'/>
	<set rowId='Capital Goods' columnId='Asia' value='285325.4' tlLabel='55.8%' brLabel='31.7%'/>
	<set rowId='Capital Goods' columnId='Australia & Oceania' value='2012.5' tlLabel='0.4%' brLabel='14.5%'/>
	<set rowId='Capital Goods' columnId='Europe' value='113782.1' tlLabel='22.3%' brLabel='25.4%'/>
	<set rowId='Capital Goods' columnId='North America' value='96458.2' tlLabel='18.9%' brLabel='16.6%'/>
	<set rowId='Capital Goods' columnId='South America' value='12808.7' tlLabel='2.5%' brLabel='7.4%'/>
	
	<set rowId='Automotive' columnId='Africa' value='2543.3' tlLabel='1.0%' brLabel='2.7%'/>
	<set rowId='Automotive' columnId='Asia' value='80891.8' tlLabel='31.8%' brLabel='9.0%'/>
	<set rowId='Automotive' columnId='Australia & Oceania' value='252.7' tlLabel='0.1%' brLabel='1.8%'/>
	<set rowId='Automotive' columnId='Europe' value='44180.9' tlLabel='17.4%' brLabel='9.9%'/>
	<set rowId='Automotive' columnId='North America' value='123342.6' tlLabel='48.5%' brLabel='21.3%'/>
	<set rowId='Automotive' columnId='South America' value='2962.2' tlLabel='1.2%' brLabel='1.7%'/>
	
	<set rowId='Consumer Goods' columnId='Africa' value='4373.7' tlLabel='0.9%' brLabel='4.7%'/>
	<set rowId='Consumer Goods' columnId='Asia' value='319331.2' tlLabel='62.2%' brLabel='35.5%'/>
	<set rowId='Consumer Goods' columnId='Australia & Oceania' value='1517.2' tlLabel='0.3%' brLabel='11.0%'/>
	<set rowId='Consumer Goods' columnId='Europe' value='116445.4' tlLabel='22.7%' brLabel='26.0%'/>
	<set rowId='Consumer Goods' columnId='North America' value='57237.2' tlLabel='11.2%' brLabel='9.9%'/>
	<set rowId='Consumer Goods' columnId='South America' value='14388.6' tlLabel='2.8%' brLabel='8.3%'/>
	
</dataset>

<colorRange gradient='1' minValue='0' code='FFFFFF' startlabel='0' endLabel="$320 Billion">
        <color code ='669966'  maxValue='320000' />        
</colorRange>


</chart>
