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FDI.twb
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<?xml version='1.0' encoding='utf-8' ?>
<!-- build 20194.20.0119.2058 -->
<workbook original-version='18.1' source-build='2019.4.2 (20194.20.0119.2058)' source-platform='win' version='18.1' xmlns:user='http://www.tableausoftware.com/xml/user'>
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<value name='[2015-16]' />
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<group name='Pivot Field Values'>
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<local-name>[Sector]</local-name>
<parent-name>[Data]</parent-name>
<remote-alias>Sector</remote-alias>
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<attribute datatype='string' name='DebugRemoteType'>"WSTR"</attribute>
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<parent-name>[Data]</parent-name>
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<attribute datatype='integer' name='context'>2</attribute>
<attribute datatype='string' name='gridOrigin'>"A1:R71:no:A1:R71:1"</attribute>
<attribute datatype='integer' name='lost'>0</attribute>
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<attribute datatype='integer' name='processed'>1088</attribute>
</attributes>
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<remote-name>Pivot Field Names</remote-name>
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<local-name>[Pivot Field Names]</local-name>
<parent-name>[Pivot]</parent-name>
<remote-alias>Pivot Field Names</remote-alias>
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</metadata-record>
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<remote-name>Pivot Field Values</remote-name>
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<local-name>[Pivot Field Values]</local-name>
<parent-name>[Pivot]</parent-name>
<remote-alias>Pivot Field Values</remote-alias>
<ordinal>2</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
</metadata-record>
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</connection>
<aliases enabled='yes' />
<column caption='Financial Year' datatype='date' datatype-customized='true' name='[Calculation_252201637729767424]' role='dimension' type='ordinal'>
<calculation class='tableau' formula='DATE(DATEPARSE ( "yyyy", LEFT([Pivot Field Names],4) )) ' />
</column>
<column datatype='integer' name='[Number of Records]' role='measure' type='quantitative' user:auto-column='numrec'>
<calculation class='tableau' formula='1' />
</column>
<column caption='Year' datatype='string' hidden='true' name='[Pivot Field Names]' role='dimension' type='nominal' />
<column caption='FDI Values' datatype='real' name='[Pivot Field Values]' role='measure' type='quantitative' />
<column datatype='string' name='[Sector (group)]' role='dimension' type='nominal'>
<calculation class='categorical-bin' column='[Sector]' new-bin='true'>
<bin default-name='false' value='" TRANSPORT"'>
<value>"AIR TRANSPORT (INCLUDING AIR FREIGHT)"</value>
<value>"PETROLEUM & NATURAL GAS"</value>
<value>"PORTS"</value>
<value>"RAILWAY RELATED COMPONENTS"</value>
<value>"SEA TRANSPORT"</value>
</bin>
<bin default-name='false' value='"AGRICULTURE"'>
<value>"AGRICULTURAL MACHINERY"</value>
<value>"FERTILIZERS"</value>
</bin>
<bin default-name='true' value='"EDUCATION, MATHEMATICAL,SURVEYING AND DRAWING INSTRUMENTS, PAPER AND PULP (INCLUDING PAPER PRODUCTS) and 2 more"'>
<value>"EDUCATION"</value>
<value>"MATHEMATICAL,SURVEYING AND DRAWING INSTRUMENTS"</value>
<value>"PAPER AND PULP (INCLUDING PAPER PRODUCTS)"</value>
<value>"PHOTOGRAPHIC RAW FILM AND PAPER"</value>
<value>"PRINTING OF BOOKS (INCLUDING LITHO PRINTING INDUSTRY)"</value>
</bin>
<bin default-name='false' value='"FOOD "'>
<value>"FERMENTATION INDUSTRIES"</value>
<value>"SUGAR"</value>
<value>"TEA AND COFFEE (PROCESSING & WAREHOUSING COFFEE & RUBBER)"</value>
<value>"VEGETABLE OILS AND VANASPATI"</value>
</bin>
</calculation>
</column>
<column datatype='string' name='[Sector]' role='dimension' type='nominal' />
<column-instance column='[Forecast Indicator]' derivation='None' forecast-column-base='[Forecast Indicator]' forecast-column-type='forecast-indicator' name='[none:Forecast Indicator:nk]' pivot='key' type='nominal' />
<column-instance column='[Pivot Field Values]' derivation='Sum' name='[sum:Pivot Field Values:qk]' pivot='key' type='quantitative' />
<column-instance column='[Calculation_252201637729767424]' derivation='Year' name='[yr:Calculation_252201637729767424:ok]' pivot='key' type='ordinal' />
<layout dim-ordering='alphabetic' dim-percentage='0.333876' measure-ordering='alphabetic' measure-percentage='0.666124' show-structure='true' />
<style>
<style-rule element='mark'>
<encoding attr='color' field='[yr:Calculation_252201637729767424:ok]' type='palette'>
<map to='#499894'>
<bucket>2008</bucket>
</map>
<map to='#4e79a7'>
<bucket>2000</bucket>
</map>
<map to='#59a14f'>
<bucket>2004</bucket>
</map>
<map to='#79706e'>
<bucket>2012</bucket>
</map>
<map to='#86bcb6'>
<bucket>2009</bucket>
</map>
<map to='#8cd17d'>
<bucket>2005</bucket>
</map>
<map to='#a0cbe8'>
<bucket>2001</bucket>
</map>
<map to='#b07aa1'>
<bucket>2016</bucket>
</map>
<map to='#b6992d'>
<bucket>2006</bucket>
</map>
<map to='#bab0ac'>
<bucket>2013</bucket>
</map>
<map to='#d37295'>
<bucket>2014</bucket>
</map>
<map to='#e15759'>
<bucket>2010</bucket>
</map>
<map to='#f1ce63'>
<bucket>2007</bucket>
</map>
<map to='#f28e2b'>
<bucket>2002</bucket>
</map>
<map to='#fabfd2'>
<bucket>2015</bucket>
</map>
<map to='#ff9d9a'>
<bucket>2011</bucket>
</map>
<map to='#ffbe7d'>
<bucket>2003</bucket>
</map>
</encoding>
<encoding attr='color' field='[none:AdhocCluster:1:ok]' type='palette'>
<map to='#499894'>
<bucket>9</bucket>
</map>
<map to='#4e79a7'>
<bucket>1</bucket>
</map>
<map to='#59a14f'>
<bucket>5</bucket>
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<bucket>10</bucket>
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<bucket>3</bucket>
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<bucket>4</bucket>
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<semantic-value key='[Country].[Name]' value='"India"' />
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<manual-sort column='[none:Forecast Indicator:nk]' direction='ASC'>
<dictionary>
<bucket>"Actual"</bucket>
<bucket>"Estimate"</bucket>
</dictionary>
</manual-sort>
</default-sorts>
<field-sort-info field-sort-order-type='custom-order'>
<field-sort-custom-order field='Sector' />
<field-sort-custom-order field='Pivot Field Names' />
<field-sort-custom-order field='Calculation_252201637729767424' />
<field-sort-custom-order field='Pivot Field Values' />
</field-sort-info>
<filter class='categorical' column='[Sector]' filter-group='2'>
<groupfilter function='except' user:ui-domain='database' user:ui-enumeration='exclusive' user:ui-marker='enumerate'>
<groupfilter function='level-members' level='[Sector]' />
<groupfilter function='member' level='[Sector]' member='"Grand Total"' />
</groupfilter>
</filter>
<analytic-model>
<name>
<field name='[AnalyticModel:{57ea4676-f54d-4c49-89d3-f67c95aa58d3}]' />
</name>
<analytic-model-specifications class='cluster-specifications'>
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<field name='[federated.0ir9wh21tve82412b7gyl0sfubt3].[sum:Pivot Field Values:qk]' />
</analysis-fields>
<filter-fields />
<lod-fields />
<number-of-desired-clusters>5</number-of-desired-clusters>
<is-dissagregate>false</is-dissagregate>
</analytic-model-specifications>
<result-fields />
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<name>
<field name='[AnalyticModel:{5d5a419f-b0b2-4f70-82b9-bf033552de87}]' />
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<analytic-model-specifications class='cluster-specifications'>
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<field name='[federated.0ir9wh21tve82412b7gyl0sfubt3].[sum:Pivot Field Values:qk]' />
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<number-of-desired-clusters>5</number-of-desired-clusters>
<is-dissagregate>false</is-dissagregate>
</analytic-model-specifications>
<result-fields>
<field name='[federated.0ir9wh21tve82412b7gyl0sfubt3].[AdhocCluster:2]' />
</result-fields>
</analytic-model>
</datasource>
</datasources>
<worksheets>
<worksheet name='ClusterInFDI'>
<layout-options>
<title>
<formatted-text>
<run fontalignment='1'>Æ </run>
<run bold='true' fontalignment='1' fontcolor='#f28e2b' fontsize='20'>Some specific clusters that are present in FDI</run>
<run fontalignment='1'>Æ </run>
</formatted-text>
</title>
</layout-options>
<table>
<view>
<datasources>
<datasource caption='Data (FDI Case Study)' name='federated.0ir9wh21tve82412b7gyl0sfubt3' />
</datasources>
<datasource-dependencies datasource='federated.0ir9wh21tve82412b7gyl0sfubt3'>
<column auto-hidden='true' caption='Clusters' datatype='integer' hidden='true' is-adhoc-cluster='true' name='[AdhocCluster:1]' parent-model='[AnalyticModel:{57ea4676-f54d-4c49-89d3-f67c95aa58d3}]' role='dimension' type='ordinal'>
<aliases>
<alias key='-1' value='Cluster Outliers' />
<alias key='0' value='Not Clustered' />
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<alias key='2' value='Cluster 2' />
<alias key='3' value='Cluster 3' />
<alias key='4' value='Cluster 4' />
<alias key='5' value='Cluster 5' />
<alias key='6' value='Cluster 6' />
<alias key='7' value='Cluster 7' />
<alias key='8' value='Cluster 8' />
<alias key='9' value='Cluster 9' />
<alias key='10' value='Cluster 10' />
<alias key='11' value='Cluster 11' />
<alias key='12' value='Cluster 12' />
<alias key='13' value='Cluster 13' />
<alias key='14' value='Cluster 14' />
<alias key='15' value='Cluster 15' />
<alias key='16' value='Cluster 16' />
<alias key='17' value='Cluster 17' />
<alias key='18' value='Cluster 18' />
<alias key='19' value='Cluster 19' />
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<alias key='21' value='Cluster 21' />
<alias key='22' value='Cluster 22' />
<alias key='23' value='Cluster 23' />
<alias key='24' value='Cluster 24' />
<alias key='25' value='Cluster 25' />
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<alias key='27' value='Cluster 27' />
<alias key='28' value='Cluster 28' />
<alias key='29' value='Cluster 29' />
<alias key='30' value='Cluster 30' />
<alias key='31' value='Cluster 31' />
<alias key='32' value='Cluster 32' />
<alias key='33' value='Cluster 33' />
<alias key='34' value='Cluster 34' />
<alias key='35' value='Cluster 35' />
<alias key='36' value='Cluster 36' />
<alias key='37' value='Cluster 37' />
<alias key='38' value='Cluster 38' />
<alias key='39' value='Cluster 39' />
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<alias key='41' value='Cluster 41' />
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<alias key='44' value='Cluster 44' />
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<alias key='49' value='Cluster 49' />
<alias key='50' value='Cluster 50' />
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<simple-id uuid='{33472019-5DD4-4289-8017-03ACD9A55B66}' />
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<worksheet name='ForcastFDI'>
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<title>
<formatted-text>
<run fontalignment='1'>Æ </run>
<run bold='true' fontalignment='1' fontcolor='#f28e2b' fontsize='20'> The forecast of FDI for next year</run>
<run fontalignment='1'>Æ </run>
</formatted-text>
</title>
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<datasources>
<datasource caption='Data (FDI Case Study)' name='federated.0ir9wh21tve82412b7gyl0sfubt3' />
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<column caption='Financial Year' datatype='date' datatype-customized='true' name='[Calculation_252201637729767424]' role='dimension' type='ordinal'>
<calculation class='tableau' formula='DATE(DATEPARSE ( "yyyy", LEFT([Pivot Field Names],4) )) ' />
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<column caption='Year' datatype='string' hidden='true' name='[Pivot Field Names]' role='dimension' type='nominal' />
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<column-instance column='[Pivot Field Values]' derivation='Sum' forecast-column-base='[sum:Pivot Field Values:qk]' forecast-column-type='forecast-value' name='[fVal:sum:Pivot Field Values:qk]' pivot='key' type='quantitative' />
<column-instance column='[Forecast Indicator]' derivation='None' forecast-column-base='[Forecast Indicator]' forecast-column-type='forecast-indicator' name='[none:Forecast Indicator:nk]' pivot='key' type='nominal' />
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<column-instance column='[Calculation_252201637729767424]' derivation='Year-Trunc' name='[tyr:Calculation_252201637729767424:qk]' pivot='key' type='quantitative' />
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<aggregation value='true' />
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<cols>[federated.0ir9wh21tve82412b7gyl0sfubt3].[tyr:Calculation_252201637729767424:qk]</cols>
<forecast-specification auto-forecast-agg='true' band-confidence-level='95.000000' enabled='true' fill-type='fill-missing' ignore-last='1' model-type='auto-season' range-type='auto' show-prediction-bands='true' />
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<simple-id uuid='{E4F5388F-BACD-4934-9F01-7493AD5E79E0}' />
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<worksheet name='GrpSectCmp'>
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<title>
<formatted-text>
<run fontalignment='1'>Æ </run>
<run bold='true' fontalignment='1' fontcolor='#f9a655' fontname='Benton Sans Book' fontsize='20'> Grouping of Sectors for comparison</run>
<run fontalignment='1'>Æ </run>
</formatted-text>
</title>
</layout-options>
<table>
<view>
<datasources />
<aggregation value='true' />
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<cols />
</table>
<simple-id uuid='{8992D679-23F1-486A-ACFC-12B573DF6173}' />
</worksheet>
<worksheet name='HighFDILast5yrs'>
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<title>
<formatted-text>
<run fontalignment='1'>Æ </run>
<run bold='true' fontalignment='1' fontcolor='#f9a655' fontsize='20'>Sectors that reported high growth in FDI in last 5 years</run>
<run fontalignment='1'>Æ </run>
</formatted-text>
</title>
</layout-options>
<table>
<view>
<datasources>
<datasource caption='Data (FDI Case Study)' name='federated.0ir9wh21tve82412b7gyl0sfubt3' />
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<column caption='Financial Year' datatype='date' datatype-customized='true' name='[Calculation_252201637729767424]' role='dimension' type='ordinal'>
<calculation class='tableau' formula='DATE(DATEPARSE ( "yyyy", LEFT([Pivot Field Names],4) )) ' />
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<column caption='Year' datatype='string' hidden='true' name='[Pivot Field Names]' role='dimension' type='nominal' />
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<address>
<value>-1</value>
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<column-instance column='[Calculation_252201637729767424]' derivation='Year' name='[yr:Calculation_252201637729767424:ok]' pivot='key' type='ordinal' />
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<manual-sort column='[federated.0ir9wh21tve82412b7gyl0sfubt3].[none:Sector:nk]' direction='ASC'>
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<bucket>"CEMENT AND GYPSUM PRODUCTS"</bucket>
<bucket>"BOILERS AND STEAM GENERATING PLANTS"</bucket>
<bucket>"MINING"</bucket>
<bucket>"AGRICULTURAL MACHINERY"</bucket>
<bucket>"CERAMICS"</bucket>
<bucket>"TEA AND COFFEE (PROCESSING & WAREHOUSING COFFEE & RUBBER)"</bucket>
<bucket>"SCIENTIFIC INSTRUMENTS"</bucket>
<bucket>"SEA TRANSPORT"</bucket>
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<bucket>"FOOD PROCESSING INDUSTRIES"</bucket>
<bucket>"FERTILIZERS"</bucket>
<bucket>"PAPER AND PULP (INCLUDING PAPER PRODUCTS)"</bucket>
<bucket>"VEGETABLE OILS AND VANASPATI"</bucket>
<bucket>"PETROLEUM & NATURAL GAS"</bucket>
<bucket>"LEATHER,LEATHER GOODS AND PICKERS"</bucket>
<bucket>"EARTH-MOVING MACHINERY"</bucket>
<bucket>"INDUSTRIAL INSTRUMENTS"</bucket>
<bucket>"TELECOMMUNICATIONS"</bucket>
<bucket>"DIAMOND,GOLD ORNAMENTS"</bucket>
<bucket>"ELECTRICAL EQUIPMENTS"</bucket>
<bucket>"PRINTING OF BOOKS (INCLUDING LITHO PRINTING INDUSTRY)"</bucket>
<bucket>"RAILWAY RELATED COMPONENTS"</bucket>
<bucket>"FERMENTATION INDUSTRIES"</bucket>
<bucket>"GLASS"</bucket>
<bucket>"AIR TRANSPORT (INCLUDING AIR FREIGHT)"</bucket>
<bucket>"CONSTRUCTION (INFRASTRUCTURE) ACTIVITIES"</bucket>
<bucket>"PORTS"</bucket>
<bucket>"TIMBER PRODUCTS"</bucket>
<bucket>"COMPUTER SOFTWARE & HARDWARE"</bucket>
<bucket>"INFORMATION & BROADCASTING (INCLUDING PRINT MEDIA)"</bucket>
<bucket>"MEDICAL AND SURGICAL APPLIANCES"</bucket>
<bucket>"HOTEL & TOURISM"</bucket>
<bucket>"TEXTILES (INCLUDING DYED,PRINTED)"</bucket>
<bucket>"COIR"</bucket>
<bucket>"MACHINE TOOLS"</bucket>
<bucket>"EDUCATION"</bucket>
<bucket>"ELECTRONICS"</bucket>
<bucket>"TRADING"</bucket>
<bucket>"AGRICULTURE SERVICES"</bucket>
<bucket>"RUBBER GOODS"</bucket>
<bucket>"HOSPITAL & DIAGNOSTIC CENTRES"</bucket>
<bucket>"CHEMICALS (OTHER THAN FERTILIZERS)"</bucket>
<bucket>"NON-CONVENTIONAL ENERGY"</bucket>
<bucket>"MISCELLANEOUS MECHANICAL & ENGINEERING INDUSTRIES"</bucket>
<bucket>"METALLURGICAL INDUSTRIES"</bucket>
<bucket>"SERVICES SECTOR (Fin.,Banking,Insurance,Non Fin/Business,Outsourcing,R&D,Courier,Tech. Testing and Analysis, Other)"</bucket>
<bucket>"AUTOMOBILE INDUSTRY"</bucket>
<bucket>"CONSULTANCY SERVICES"</bucket>
<bucket>"POWER"</bucket>
<bucket>"PRIME MOVER (OTHER THAN ELECTRICAL GENERATORS)"</bucket>
<bucket>"DYE-STUFFS"</bucket>
<bucket>"MISCELLANEOUS INDUSTRIES"</bucket>
<bucket>"INDUSTRIAL MACHINERY"</bucket>
<bucket>"SOAPS, COSMETICS & TOILET PREPARATIONS"</bucket>
<bucket>"COMMERCIAL, OFFICE & HOUSEHOLD EQUIPMENTS"</bucket>
<bucket>"DRUGS & PHARMACEUTICALS"</bucket>
<bucket>"PHOTOGRAPHIC RAW FILM AND PAPER"</bucket>
<bucket>"MATHEMATICAL,SURVEYING AND DRAWING INSTRUMENTS"</bucket>
<bucket>"COAL PRODUCTION"</bucket>
<bucket>"DEFENCE INDUSTRIES"</bucket>
<bucket>"CONSTRUCTION DEVELOPMENT: Townships, housing, built-up infrastructure and construction-development projects"</bucket>
<bucket>%all%</bucket>
</dictionary>
</manual-sort>
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<worksheet name='LowestFDILast5yrs'>
<layout-options>
<title>
<formatted-text>
<run fontalignment='1'>Æ </run>
<run bold='true' fontalignment='1' fontcolor='#f9a655' fontsize='20'>Sectors that reported lowest growth in FDI in last 5 years</run>
<run fontalignment='1'>Æ </run>
</formatted-text>
</title>
</layout-options>
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<view>
<datasources>
<datasource caption='Data (FDI Case Study)' name='federated.0ir9wh21tve82412b7gyl0sfubt3' />
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<calculation class='tableau' formula='DATE(DATEPARSE ( "yyyy", LEFT([Pivot Field Names],4) )) ' />
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<column caption='Year' datatype='string' hidden='true' name='[Pivot Field Names]' role='dimension' type='nominal' />
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<address>
<value>-1</value>
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<column-instance column='[Calculation_252201637729767424]' derivation='Year' name='[yr:Calculation_252201637729767424:ok]' pivot='key' type='ordinal' />
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<manual-sort column='[federated.0ir9wh21tve82412b7gyl0sfubt3].[none:Sector:nk]' direction='ASC'>
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<bucket>%all%</bucket>
<bucket>"GLUE AND GELATIN"</bucket>
<bucket>"PORTS"</bucket>
<bucket>"PHOTOGRAPHIC RAW FILM AND PAPER"</bucket>
<bucket>"MATHEMATICAL,SURVEYING AND DRAWING INSTRUMENTS"</bucket>
<bucket>"COAL PRODUCTION"</bucket>
<bucket>"TEXTILES (INCLUDING DYED,PRINTED)"</bucket>
<bucket>"HOSPITAL & DIAGNOSTIC CENTRES"</bucket>
<bucket>"MEDICAL AND SURGICAL APPLIANCES"</bucket>
<bucket>"AUTOMOBILE INDUSTRY"</bucket>
<bucket>"NON-CONVENTIONAL ENERGY"</bucket>
<bucket>"PRIME MOVER (OTHER THAN ELECTRICAL GENERATORS)"</bucket>
<bucket>"DIAMOND,GOLD ORNAMENTS"</bucket>
<bucket>"RAILWAY RELATED COMPONENTS"</bucket>
<bucket>"AGRICULTURE SERVICES"</bucket>
<bucket>"RUBBER GOODS"</bucket>
<bucket>"TRADING"</bucket>
<bucket>"SERVICES SECTOR (Fin.,Banking,Insurance,Non Fin/Business,Outsourcing,R&D,Courier,Tech. Testing and Analysis, Other)"</bucket>
<bucket>"EDUCATION"</bucket>
<bucket>"COIR"</bucket>
<bucket>"INDUSTRIAL MACHINERY"</bucket>
<bucket>"INFORMATION & BROADCASTING (INCLUDING PRINT MEDIA)"</bucket>
<bucket>"CONSULTANCY SERVICES"</bucket>
<bucket>"SOAPS, COSMETICS & TOILET PREPARATIONS"</bucket>
<bucket>"POWER"</bucket>
<bucket>"VEGETABLE OILS AND VANASPATI"</bucket>
<bucket>"HOTEL & TOURISM"</bucket>
<bucket>"METALLURGICAL INDUSTRIES"</bucket>
<bucket>"FERMENTATION INDUSTRIES"</bucket>
<bucket>"DYE-STUFFS"</bucket>
<bucket>"ELECTRICAL EQUIPMENTS"</bucket>
<bucket>"PRINTING OF BOOKS (INCLUDING LITHO PRINTING INDUSTRY)"</bucket>
<bucket>"DRUGS & PHARMACEUTICALS"</bucket>
<bucket>"MACHINE TOOLS"</bucket>
<bucket>"EARTH-MOVING MACHINERY"</bucket>
<bucket>"COMPUTER SOFTWARE & HARDWARE"</bucket>
<bucket>"MISCELLANEOUS INDUSTRIES"</bucket>
<bucket>"COMMERCIAL, OFFICE & HOUSEHOLD EQUIPMENTS"</bucket>
<bucket>"TELECOMMUNICATIONS"</bucket>
<bucket>"CERAMICS"</bucket>
<bucket>"ELECTRONICS"</bucket>
<bucket>"FOOD PROCESSING INDUSTRIES"</bucket>
<bucket>"GLASS"</bucket>
<bucket>"AIR TRANSPORT (INCLUDING AIR FREIGHT)"</bucket>
<bucket>"AGRICULTURAL MACHINERY"</bucket>
<bucket>"CONSTRUCTION (INFRASTRUCTURE) ACTIVITIES"</bucket>
<bucket>"TIMBER PRODUCTS"</bucket>
<bucket>"SCIENTIFIC INSTRUMENTS"</bucket>
<bucket>"CHEMICALS (OTHER THAN FERTILIZERS)"</bucket>
<bucket>"MISCELLANEOUS MECHANICAL & ENGINEERING INDUSTRIES"</bucket>
<bucket>"PETROLEUM & NATURAL GAS"</bucket>
<bucket>"LEATHER,LEATHER GOODS AND PICKERS"</bucket>
<bucket>"INDUSTRIAL INSTRUMENTS"</bucket>
<bucket>"CONSTRUCTION DEVELOPMENT: Townships, housing, built-up infrastructure and construction-development projects"</bucket>
<bucket>"SEA TRANSPORT"</bucket>
<bucket>"CEMENT AND GYPSUM PRODUCTS"</bucket>
<bucket>"DEFENCE INDUSTRIES"</bucket>
<bucket>"TEA AND COFFEE (PROCESSING & WAREHOUSING COFFEE & RUBBER)"</bucket>
<bucket>"RETAIL TRADING"</bucket>
<bucket>"SUGAR"</bucket>
<bucket>"MINING"</bucket>
<bucket>"PAPER AND PULP (INCLUDING PAPER PRODUCTS)"</bucket>
<bucket>"FERTILIZERS"</bucket>
<bucket>"BOILERS AND STEAM GENERATING PLANTS"</bucket>
</dictionary>
</manual-sort>
<filter class='categorical' column='[federated.0ir9wh21tve82412b7gyl0sfubt3].[yr:Calculation_252201637729767424:ok]'>
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<bucket>2014</bucket>
<bucket>2013</bucket>
<bucket>2015</bucket>
<bucket>2012</bucket>
<bucket>2011</bucket>
<bucket>%all%</bucket>
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<simple-id uuid='{63ADEF4F-4761-4E4E-B23F-7DAC80C9B688}' />
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<worksheet name='MaxFDI'>
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<title>
<formatted-text>
<run fontalignment='1'>Æ </run>
<run bold='true' fontalignment='1' fontcolor='#f9a655' fontsize='20'> Highest 10 Value For FDI And Its Sector In Latest Year</run>
<run fontalignment='1'>Æ </run>
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<column-instance column='[Sector]' derivation='None' name='[none:Sector:nk]' pivot='key' type='nominal' />
<column-instance column='[Pivot Field Values]' derivation='Sum' name='[sum:Pivot Field Values:qk]' pivot='key' type='quantitative' />
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<groupfilter from='"AGRICULTURAL MACHINERY"' function='range' level='[none:Sector:nk]' to='"VEGETABLE OILS AND VANASPATI"' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
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<column>[federated.0ir9wh21tve82412b7gyl0sfubt3].[none:Sector:nk]</column>
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<simple-id uuid='{F12777D7-206F-4374-B922-C03E448A7774}' />
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<worksheet name='MinFDI'>
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<title>
<formatted-text>
<run fontalignment='1'>Æ </run>
<run bold='true' fontalignment='1' fontcolor='#f9a655' fontsize='20'> Lowest 10 Value of FDI and its sector in latest year</run>
<run fontalignment='1'>Æ </run>
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<datasource caption='Data (FDI Case Study)' name='federated.0ir9wh21tve82412b7gyl0sfubt3' />
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<column caption='FDI Values' datatype='real' name='[Pivot Field Values]' role='measure' type='quantitative' />
<column datatype='string' name='[Sector]' role='dimension' type='nominal' />
<column-instance column='[Sector]' derivation='None' name='[none:Sector:nk]' pivot='key' type='nominal' />
<column-instance column='[Pivot Field Values]' derivation='Sum' name='[sum:Pivot Field Values:qk]' pivot='key' type='quantitative' />
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<groupfilter direction='DESC' expression='SUM([Pivot Field Values])' function='order' user:ui-marker='order'>
<groupfilter from='"AGRICULTURAL MACHINERY"' function='range' level='[none:Sector:nk]' to='"VEGETABLE OILS AND VANASPATI"' user:ui-domain='relevant' user:ui-enumeration='inclusive' user:ui-marker='enumerate' />
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<simple-id uuid='{6E6B9348-B15D-4796-B310-CD65DEA4C3AC}' />
</worksheet>
<worksheet name='ProEachSect'>
<layout-options>
<title>
<formatted-text>
<run fontalignment='1'>Æ </run>
<run bold='true' fontalignment='1' fontcolor='#f9a655' fontsize='20'> Proportion of Each sector in FDI</run>
<run fontalignment='1'>Æ </run>
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<table>
<view>
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<datasource caption='Data (FDI Case Study)' name='federated.0ir9wh21tve82412b7gyl0sfubt3' />
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<column datatype='string' name='[Sector]' role='dimension' type='nominal' />
<column-instance column='[Sector]' derivation='None' name='[none:Sector:nk]' pivot='key' type='nominal' />
<column-instance column='[Pivot Field Values]' derivation='Sum' name='[sum:Pivot Field Values:qk]' pivot='key' type='quantitative' />
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