pride-data-analysis/dashboard/Book Sami 1.twb

2833 lines
192 KiB
Plaintext
Raw Normal View History

2023-04-13 22:29:52 +00:00
<?xml version='1.0' encoding='utf-8' ?>
<!-- build 20224.23.0209.1653 -->
<workbook original-version='18.1' source-build='2022.4.1 (20224.23.0209.1653)' source-platform='win' version='18.1' xmlns:user='http://www.tableausoftware.com/xml/user'>
<document-format-change-manifest>
<_.fcp.AccessibleZoneTabOrder.true...AccessibleZoneTabOrder />
<_.fcp.AnimationOnByDefault.true...AnimationOnByDefault />
<AutoCreateAndUpdateDSDPhoneLayouts />
<_.fcp.ExternalImageContentForZones.true...ExternalImageContentForZones />
<MapboxVectorStylesAndLayers />
<_.fcp.MarkAnimation.true...MarkAnimation />
<_.fcp.ObjectModelEncapsulateLegacy.true...ObjectModelEncapsulateLegacy />
<_.fcp.ObjectModelTableType.true...ObjectModelTableType />
<_.fcp.SchemaViewerObjectModel.true...SchemaViewerObjectModel />
<SetMembershipControl />
<SheetIdentifierTracking />
<WindowsPersistSimpleIdentifiers />
</document-format-change-manifest>
<preferences>
<preference name='ui.encoding.shelf.height' value='24' />
<preference name='ui.shelf.height' value='26' />
</preferences>
<_.fcp.AnimationOnByDefault.false...style>
<_.fcp.AnimationOnByDefault.false..._.fcp.MarkAnimation.true...style-rule element='animation'>
<_.fcp.AnimationOnByDefault.false...format attr='animation-on' value='ao-on' />
</_.fcp.AnimationOnByDefault.false..._.fcp.MarkAnimation.true...style-rule>
</_.fcp.AnimationOnByDefault.false...style>
<datasources>
<datasource caption='tax_and_gay' inline='true' name='federated.0a0r44a1k0ra1y1cmt8ab15acxw6' version='18.1'>
<connection class='federated'>
<named-connections>
<named-connection caption='tax_and_gay' name='textscan.0ymouyf0lohvbk1ef8t3h0xftmgh'>
<connection class='textscan' directory='C:/Users/samia/OneDrive/Desktop/data 301/project current/project-group-group-44/data/processed' filename='tax_and_gay.csv' password='' server='' />
</named-connection>
<named-connection caption='zip_lat_long' name='textscan.0nknilx0qr545516tlehx16c2uvd'>
<connection class='textscan' directory='C:/Users/samia/OneDrive/Desktop/data 301/project current/project-group-group-44/data/raw' filename='zip_lat_long.csv' password='' server='' />
</named-connection>
</named-connections>
<_.fcp.ObjectModelEncapsulateLegacy.false...relation connection='textscan.0ymouyf0lohvbk1ef8t3h0xftmgh' name='tax_and_gay.csv' table='[tax_and_gay#csv]' type='table'>
<columns character-set='UTF-8' header='yes' locale='en_CA' separator=','>
<column datatype='integer' name='zip' ordinal='0' />
<column datatype='integer' name='zip 1' ordinal='1' />
<column datatype='real' name='population' ordinal='2' />
<column datatype='integer' name='gay tax rate' ordinal='3' />
<column datatype='real' name='overall tax paid' ordinal='4' />
<column datatype='integer' name='income' ordinal='5' />
</columns>
</_.fcp.ObjectModelEncapsulateLegacy.false...relation>
<_.fcp.ObjectModelEncapsulateLegacy.true...relation type='collection'>
<relation connection='textscan.0ymouyf0lohvbk1ef8t3h0xftmgh' name='tax_and_gay.csv' table='[tax_and_gay#csv]' type='table'>
<columns character-set='UTF-8' header='yes' locale='en_CA' separator=','>
<column datatype='integer' name='zip' ordinal='0' />
<column datatype='integer' name='zip 1' ordinal='1' />
<column datatype='real' name='population' ordinal='2' />
<column datatype='integer' name='gay tax rate' ordinal='3' />
<column datatype='real' name='overall tax paid' ordinal='4' />
<column datatype='integer' name='income' ordinal='5' />
</columns>
</relation>
<relation connection='textscan.0nknilx0qr545516tlehx16c2uvd' name='zip_lat_long.csv' table='[zip_lat_long#csv]' type='table'>
<columns character-set='UTF-8' header='yes' locale='en_CA' separator=','>
<column datatype='integer' name='ZIP' ordinal='0' />
<column datatype='real' name='LAT' ordinal='1' />
<column datatype='real' name='LNG' ordinal='2' />
</columns>
</relation>
</_.fcp.ObjectModelEncapsulateLegacy.true...relation>
<metadata-records>
<metadata-record class='capability'>
<remote-name />
<remote-type>0</remote-type>
<parent-name>[tax_and_gay.csv]</parent-name>
<remote-alias />
<aggregation>Count</aggregation>
<contains-null>true</contains-null>
<attributes>
<attribute datatype='string' name='character-set'>&quot;UTF-8&quot;</attribute>
<attribute datatype='string' name='collation'>&quot;en_GB&quot;</attribute>
<attribute datatype='string' name='field-delimiter'>&quot;,&quot;</attribute>
<attribute datatype='string' name='header-row'>&quot;true&quot;</attribute>
<attribute datatype='string' name='locale'>&quot;en_CA&quot;</attribute>
<attribute datatype='string' name='single-char'>&quot;&quot;</attribute>
</attributes>
</metadata-record>
<metadata-record class='capability'>
<remote-name />
<remote-type>0</remote-type>
<parent-name>[zip_lat_long.csv]</parent-name>
<remote-alias />
<aggregation>Count</aggregation>
<contains-null>true</contains-null>
<attributes>
<attribute datatype='string' name='character-set'>&quot;UTF-8&quot;</attribute>
<attribute datatype='string' name='collation'>&quot;en_GB&quot;</attribute>
<attribute datatype='string' name='field-delimiter'>&quot;,&quot;</attribute>
<attribute datatype='string' name='header-row'>&quot;true&quot;</attribute>
<attribute datatype='string' name='locale'>&quot;en_CA&quot;</attribute>
<attribute datatype='string' name='single-char'>&quot;&quot;</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>zip</remote-name>
<remote-type>20</remote-type>
<local-name>[zip]</local-name>
<parent-name>[tax_and_gay.csv]</parent-name>
<remote-alias>zip</remote-alias>
<ordinal>0</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[tax_and_gay.csv_2695AFE1365845F98E5AB43881776511]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>zip 1</remote-name>
<remote-type>20</remote-type>
<local-name>[zip 1]</local-name>
<parent-name>[tax_and_gay.csv]</parent-name>
<remote-alias>zip 1</remote-alias>
<ordinal>1</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[tax_and_gay.csv_2695AFE1365845F98E5AB43881776511]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>population</remote-name>
<remote-type>5</remote-type>
<local-name>[population]</local-name>
<parent-name>[tax_and_gay.csv]</parent-name>
<remote-alias>population</remote-alias>
<ordinal>2</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[tax_and_gay.csv_2695AFE1365845F98E5AB43881776511]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>gay tax rate</remote-name>
<remote-type>20</remote-type>
<local-name>[gay tax rate]</local-name>
<parent-name>[tax_and_gay.csv]</parent-name>
<remote-alias>gay tax rate</remote-alias>
<ordinal>3</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[tax_and_gay.csv_2695AFE1365845F98E5AB43881776511]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>overall tax paid</remote-name>
<remote-type>5</remote-type>
<local-name>[overall tax paid]</local-name>
<parent-name>[tax_and_gay.csv]</parent-name>
<remote-alias>overall tax paid</remote-alias>
<ordinal>4</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[tax_and_gay.csv_2695AFE1365845F98E5AB43881776511]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>income</remote-name>
<remote-type>20</remote-type>
<local-name>[income]</local-name>
<parent-name>[tax_and_gay.csv]</parent-name>
<remote-alias>income</remote-alias>
<ordinal>5</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[tax_and_gay.csv_2695AFE1365845F98E5AB43881776511]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>ZIP</remote-name>
<remote-type>20</remote-type>
<local-name>[ZIP]</local-name>
<parent-name>[zip_lat_long.csv]</parent-name>
<remote-alias>ZIP</remote-alias>
<ordinal>6</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[zip_lat_long.csv_EA1829CF3CA8490894E3EAB97341B6C8]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>LAT</remote-name>
<remote-type>5</remote-type>
<local-name>[LAT]</local-name>
<parent-name>[zip_lat_long.csv]</parent-name>
<remote-alias>LAT</remote-alias>
<ordinal>7</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[zip_lat_long.csv_EA1829CF3CA8490894E3EAB97341B6C8]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>LNG</remote-name>
<remote-type>5</remote-type>
<local-name>[LNG]</local-name>
<parent-name>[zip_lat_long.csv]</parent-name>
<remote-alias>LNG</remote-alias>
<ordinal>8</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[zip_lat_long.csv_EA1829CF3CA8490894E3EAB97341B6C8]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
</metadata-records>
</connection>
<aliases enabled='yes' />
<column aggregation='Avg' datatype='real' name='[LAT]' role='measure' semantic-role='[Geographical].[Latitude]' type='quantitative' />
<column aggregation='Avg' datatype='real' name='[LNG]' role='measure' semantic-role='[Geographical].[Longitude]' type='quantitative' />
<column aggregation='Sum' datatype='integer' default-format='*00000' name='[ZIP]' role='dimension' semantic-role='[ZipCode].[Name]' type='ordinal' />
<_.fcp.ObjectModelTableType.true...column caption='tax_and_gay.csv' datatype='table' name='[__tableau_internal_object_id__].[tax_and_gay.csv_2695AFE1365845F98E5AB43881776511]' role='measure' type='quantitative' />
<_.fcp.ObjectModelTableType.true...column caption='zip_lat_long.csv' datatype='table' name='[__tableau_internal_object_id__].[zip_lat_long.csv_EA1829CF3CA8490894E3EAB97341B6C8]' role='measure' type='quantitative' />
<column caption='Gay Tax Rate' datatype='integer' name='[gay tax rate]' role='measure' type='quantitative' />
<column caption='Income' datatype='integer' name='[income]' role='measure' type='quantitative' />
<column caption='Overall Tax Paid' datatype='real' name='[overall tax paid]' role='measure' type='quantitative' />
<column caption='Population' datatype='real' name='[population]' role='measure' type='quantitative' />
<column aggregation='Sum' caption='Zip 1' datatype='integer' default-format='*00000' name='[zip 1]' role='dimension' semantic-role='[ZipCode].[Name]' type='ordinal' />
<column aggregation='Sum' caption='Zip' datatype='integer' default-format='*00000' name='[zip]' role='dimension' semantic-role='[ZipCode].[Name]' type='ordinal' />
<layout _.fcp.SchemaViewerObjectModel.false...dim-percentage='0.5' _.fcp.SchemaViewerObjectModel.false...measure-percentage='0.4' dim-ordering='alphabetic' measure-ordering='alphabetic' show-structure='true' />
<semantic-values>
<semantic-value key='[Country].[Name]' value='&quot;Canada&quot;' />
</semantic-values>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-graph>
<objects>
<object caption='tax_and_gay.csv' id='tax_and_gay.csv_2695AFE1365845F98E5AB43881776511'>
<properties context=''>
<relation connection='textscan.0ymouyf0lohvbk1ef8t3h0xftmgh' name='tax_and_gay.csv' table='[tax_and_gay#csv]' type='table'>
<columns character-set='UTF-8' header='yes' locale='en_CA' separator=','>
<column datatype='integer' name='zip' ordinal='0' />
<column datatype='integer' name='zip 1' ordinal='1' />
<column datatype='real' name='population' ordinal='2' />
<column datatype='integer' name='gay tax rate' ordinal='3' />
<column datatype='real' name='overall tax paid' ordinal='4' />
<column datatype='integer' name='income' ordinal='5' />
</columns>
</relation>
</properties>
</object>
<object caption='zip_lat_long.csv' id='zip_lat_long.csv_EA1829CF3CA8490894E3EAB97341B6C8'>
<properties context=''>
<relation connection='textscan.0nknilx0qr545516tlehx16c2uvd' name='zip_lat_long.csv' table='[zip_lat_long#csv]' type='table'>
<columns character-set='UTF-8' header='yes' locale='en_CA' separator=','>
<column datatype='integer' name='ZIP' ordinal='0' />
<column datatype='real' name='LAT' ordinal='1' />
<column datatype='real' name='LNG' ordinal='2' />
</columns>
</relation>
</properties>
</object>
</objects>
<relationships>
<relationship>
<expression op='='>
<expression op='[zip]' />
<expression op='[ZIP]' />
</expression>
<first-end-point object-id='tax_and_gay.csv_2695AFE1365845F98E5AB43881776511' />
<second-end-point object-id='zip_lat_long.csv_EA1829CF3CA8490894E3EAB97341B6C8' unique-key='true' />
</relationship>
</relationships>
</_.fcp.ObjectModelEncapsulateLegacy.true...object-graph>
</datasource>
</datasources>
<mapsources>
<mapsource name='Tableau' />
</mapsources>
<worksheets>
<worksheet name='Sheet 1'>
<layout-options>
<title>
<formatted-text>
<run bold='true' fontcolor='#b07aa1'>Logarithmic Regression of income tax paid by the Gay population VS the General population</run>
</formatted-text>
</title>
</layout-options>
<table>
<view>
<datasources>
<datasource caption='tax_and_gay' name='federated.0a0r44a1k0ra1y1cmt8ab15acxw6' />
</datasources>
<datasource-dependencies datasource='federated.0a0r44a1k0ra1y1cmt8ab15acxw6'>
<column caption='Gay Tax Rate' datatype='integer' name='[gay tax rate]' role='measure' type='quantitative' />
<column-instance column='[gay tax rate]' derivation='None' name='[none:gay tax rate:qk]' pivot='key' type='quantitative' />
<column-instance column='[overall tax paid]' derivation='None' name='[none:overall tax paid:qk]' pivot='key' type='quantitative' />
<column caption='Overall Tax Paid' datatype='real' name='[overall tax paid]' role='measure' type='quantitative' />
</datasource-dependencies>
<aggregation value='true' />
</view>
<style>
<style-rule element='axis'>
<encoding attr='space' class='0' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]' field-type='quantitative' major-origin='1' major-spacing='10' scale='log' scope='cols' type='space' />
<encoding attr='space' class='0' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:overall tax paid:qk]' field-type='quantitative' major-origin='1.0' major-spacing='10.0' scale='log' scope='rows' type='space' />
<format attr='height' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]' value='57' />
<format attr='title' class='0' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:overall tax paid:qk]' scope='rows' value='General Income Tax Paid' />
<format attr='title' class='0' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]' scope='cols' value='Gay Income Tax Paid' />
</style-rule>
</style>
<panes>
<pane selection-relaxation-option='selection-relaxation-allow'>
<view>
<breakdown value='auto' />
</view>
<mark class='Automatic' />
<mark-sizing mark-sizing-setting='marks-scaling-off' />
<trendline enable-confidence-bands='false' enable-instant-analytics='true' enabled='true' exclude-color='false' exclude-intercept='false' fit='linear' />
<style>
<style-rule element='mark'>
<format attr='size' value='0.14193369448184967' />
<format attr='shape' value='triangle' />
<format attr='mark-color' value='#b07aa1' />
</style-rule>
</style>
</pane>
</panes>
<rows>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:overall tax paid:qk]</rows>
<cols>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]</cols>
</table>
<simple-id uuid='{03CB6918-0B9B-43AB-B6C5-9A357C9D373B}' />
</worksheet>
<worksheet name='Sheet 1 (2)'>
<layout-options>
<title>
<formatted-text>
<run bold='true' fontcolor='#4e79a7'>Linear Regression of income tax paid by the Gay population VS the General population</run>
</formatted-text>
</title>
</layout-options>
<table>
<view>
<datasources>
<datasource caption='tax_and_gay' name='federated.0a0r44a1k0ra1y1cmt8ab15acxw6' />
</datasources>
<datasource-dependencies datasource='federated.0a0r44a1k0ra1y1cmt8ab15acxw6'>
<column caption='Gay Tax Rate' datatype='integer' name='[gay tax rate]' role='measure' type='quantitative' />
<column-instance column='[gay tax rate]' derivation='None' name='[none:gay tax rate:qk]' pivot='key' type='quantitative' />
<column-instance column='[overall tax paid]' derivation='None' name='[none:overall tax paid:qk]' pivot='key' type='quantitative' />
<column caption='Overall Tax Paid' datatype='real' name='[overall tax paid]' role='measure' type='quantitative' />
</datasource-dependencies>
<aggregation value='true' />
</view>
<style>
<style-rule element='axis'>
<format attr='height' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]' value='57' />
<format attr='title' class='0' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:overall tax paid:qk]' scope='rows' value='General Income Tax Paid' />
<format attr='title' class='0' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]' scope='cols' value='Gay Income Tax Paid' />
</style-rule>
</style>
<panes>
<pane selection-relaxation-option='selection-relaxation-allow'>
<view>
<breakdown value='auto' />
</view>
<mark class='Automatic' />
<mark-sizing mark-sizing-setting='marks-scaling-off' />
<trendline enable-confidence-bands='false' enable-instant-analytics='true' enabled='true' exclude-color='false' exclude-intercept='false' fit='linear' />
<style>
<style-rule element='mark'>
<format attr='size' value='0.14193369448184967' />
<format attr='shape' value='triangle' />
<format attr='mark-color' value='#75a1c7' />
</style-rule>
</style>
</pane>
</panes>
<rows>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:overall tax paid:qk]</rows>
<cols>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]</cols>
</table>
<simple-id uuid='{9D10588A-B020-41B3-8F23-CD8AD7A24DE5}' />
</worksheet>
<worksheet name='Sheet 3'>
<layout-options>
<title>
<formatted-text>
<run bold='true' fontalignment='1' fontcolor='#f9a655'>Analysis of the Gay and General tax rates of a sample of Zip Codes</run>
</formatted-text>
</title>
</layout-options>
<table>
<view>
<datasources>
<datasource caption='tax_and_gay' name='federated.0a0r44a1k0ra1y1cmt8ab15acxw6' />
</datasources>
<mapsources>
<mapsource name='Tableau' />
</mapsources>
<datasource-dependencies datasource='federated.0a0r44a1k0ra1y1cmt8ab15acxw6'>
<column caption='Gay Tax Rate' datatype='integer' name='[gay tax rate]' role='measure' type='quantitative' />
<column-instance column='[gay tax rate]' derivation='None' name='[none:gay tax rate:qk]' pivot='key' type='quantitative' />
<column-instance column='[overall tax paid]' derivation='None' name='[none:overall tax paid:qk]' pivot='key' type='quantitative' />
<column-instance column='[zip]' derivation='None' name='[none:zip:ok]' pivot='key' type='ordinal' />
<column caption='Overall Tax Paid' datatype='real' name='[overall tax paid]' role='measure' type='quantitative' />
<column aggregation='Sum' caption='Zip' datatype='integer' default-format='*00000' name='[zip]' role='dimension' semantic-role='[ZipCode].[Name]' type='ordinal' />
</datasource-dependencies>
<aggregation value='true' />
</view>
<style>
<style-rule element='axis'>
<format attr='title' class='0' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:overall tax paid:qk]' scope='rows' value='General Income Tax Paid' />
<format attr='title' class='0' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]' scope='rows' value='Gay Income Tax Paid' />
</style-rule>
<style-rule element='map'>
<format attr='washout' value='0.0' />
</style-rule>
</style>
<panes>
<pane id='1' selection-relaxation-option='selection-relaxation-allow'>
<view>
<breakdown value='auto' />
</view>
<mark class='Line' />
<mark-sizing mark-sizing-setting='marks-scaling-off' />
<style>
<style-rule element='mark'>
<format attr='size' value='1.9010497331619263' />
</style-rule>
</style>
</pane>
<pane id='2' selection-relaxation-option='selection-relaxation-allow' y-axis-name='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:overall tax paid:qk]'>
<view>
<breakdown value='auto' />
</view>
<mark class='Line' />
<mark-sizing mark-sizing-setting='marks-scaling-off' />
<style>
<style-rule element='mark'>
<format attr='size' value='1.9010497331619263' />
<format attr='mark-color' value='#818b91' />
</style-rule>
</style>
</pane>
<pane id='3' selection-relaxation-option='selection-relaxation-allow' y-axis-name='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]'>
<view>
<breakdown value='auto' />
</view>
<mark class='Line' />
<mark-sizing mark-sizing-setting='marks-scaling-off' />
<style>
<style-rule element='mark'>
<format attr='size' value='1.9010497331619263' />
<format attr='mark-color' value='#f9a655' />
</style-rule>
</style>
</pane>
</panes>
<rows>([federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:overall tax paid:qk] + [federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk])</rows>
<cols>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:zip:ok]</cols>
</table>
<simple-id uuid='{84CEFF09-2250-4E46-BFEA-C4DEAAB8BFEC}' />
</worksheet>
<worksheet name='Sheet 4'>
<layout-options>
<title>
<formatted-text>
<run bold='true' fontcolor='#f28e2b'>Heat-Map of Income Tax Paid by Gay people</run>
</formatted-text>
</title>
</layout-options>
<table>
<view>
<datasources>
<datasource caption='tax_and_gay' name='federated.0a0r44a1k0ra1y1cmt8ab15acxw6' />
</datasources>
<mapsources>
<mapsource name='Tableau' />
</mapsources>
<datasource-dependencies datasource='federated.0a0r44a1k0ra1y1cmt8ab15acxw6'>
<column aggregation='Avg' datatype='real' name='[LAT]' role='measure' semantic-role='[Geographical].[Latitude]' type='quantitative' />
<column aggregation='Avg' datatype='real' name='[LNG]' role='measure' semantic-role='[Geographical].[Longitude]' type='quantitative' />
<column caption='Gay Tax Rate' datatype='integer' name='[gay tax rate]' role='measure' type='quantitative' />
<column-instance column='[LAT]' derivation='None' name='[none:LAT:qk]' pivot='key' type='quantitative' />
<column-instance column='[LNG]' derivation='None' name='[none:LNG:qk]' pivot='key' type='quantitative' />
<column-instance column='[gay tax rate]' derivation='None' name='[none:gay tax rate:qk]' pivot='key' type='quantitative' />
<column-instance column='[zip]' derivation='None' name='[none:zip:ok]' pivot='key' type='ordinal' />
<column aggregation='Sum' caption='Zip' datatype='integer' default-format='*00000' name='[zip]' role='dimension' semantic-role='[ZipCode].[Name]' type='ordinal' />
</datasource-dependencies>
<aggregation value='true' />
</view>
<style>
<style-rule element='axis'>
<encoding attr='space' class='0' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:LNG:qk]' field-type='quantitative' max='-8307510.7285290351' min='-16905726.395914152' projection='EPSG:3857' range-type='fixed' scope='cols' type='space' />
<encoding attr='space' class='0' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:LAT:qk]' field-type='quantitative' max='8993710.2174238246' min='2753453.9854848664' projection='EPSG:3857' range-type='fixed' scope='rows' type='space' />
</style-rule>
<style-rule element='mark'>
<encoding attr='color' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]' type='custom-interpolated'>
<color-palette custom='true' name='' type='ordered-sequential'>
<color>#f1f1f1</color>
<color>#f2eada</color>
<color>#f3e3c3</color>
<color>#f5dcab</color>
<color>#f6d593</color>
<color>#f8ce7c</color>
<color>#f9c763</color>
<color>#fac04b</color>
<color>#fcb832</color>
<color>#fdb119</color>
<color>#ffaa00</color>
</color-palette>
</encoding>
</style-rule>
<style-rule element='legend-title-text'>
<format attr='size' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]' value='Gay Income Tax Paid'>
<formatted-text>
<run>Gay Income Tax Paid</run>
</formatted-text>
</format>
</style-rule>
<style-rule element='map-layer'>
<format attr='enabled' id='b01002_001e' value='false' />
<format attr='enabled' id='b01002_002e' value='false' />
<format attr='enabled' id='b01002_003e' value='false' />
<format attr='enabled' id='dp02_0001e' value='false' />
<format attr='enabled' id='dp02_0015e' value='false' />
<format attr='enabled' id='dp03_0027e_plus_dp03_0029e' value='false' />
<format attr='enabled' id='dp03_0028e' value='false' />
<format attr='enabled' id='dp03_0030e_plus_dp03_0031e' value='false' />
<format attr='enabled' id='dp03_0062e' value='false' />
<format attr='enabled' id='dp03_0088e' value='false' />
<format attr='enabled' id='dp04_0001e' value='false' />
<format attr='enabled' id='dp04_0046e' value='false' />
<format attr='enabled' id='dp04_0047e' value='false' />
<format attr='enabled' id='dp04_0089e' value='false' />
<format attr='enabled' id='dp05_0001e' value='false' />
<format attr='enabled' id='dp05_0002e_div_dp05_0003e' value='false' />
<format attr='enabled' id='dp05_0032e' value='false' />
<format attr='enabled' id='dp05_0033e' value='false' />
<format attr='enabled' id='dp05_0034e' value='false' />
<format attr='enabled' id='dp05_0039e' value='false' />
<format attr='enabled' id='dp05_0047e' value='false' />
<format attr='enabled' id='dp05_0053e' value='false' />
<format attr='enabled' id='dp05_0066e' value='false' />
<format attr='enabled' id='dp05_0077e' value='false' />
</style-rule>
<style-rule element='map'>
<format attr='washout' value='0' />
<format attr='map-style' value='normal' />
</style-rule>
<style-rule element='map-data-layer'>
<format attr='palette' value='tableau-map-blue-green-light' />
<format attr='geo-area-type' value='State' />
</style-rule>
</style>
<panes>
<pane id='8' selection-relaxation-option='selection-relaxation-allow'>
<view>
<breakdown value='auto' />
</view>
<mark class='Automatic' />
<encodings>
<size column='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]' />
<lod column='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:zip:ok]' />
</encodings>
<customized-tooltip>
<formatted-text>
<run fontcolor='#787878'>Gay Tax Rate:&#9;</run>
</formatted-text>
</customized-tooltip>
<style>
<style-rule element='mark'>
<format attr='has-stroke' value='true' />
<format attr='stroke-color' value='#f28e2b' />
<format attr='has-halo' value='false' />
<format attr='mark-color' value='#ffbe7d' />
</style-rule>
</style>
</pane>
</panes>
<rows>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:LAT:qk]</rows>
<cols>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:LNG:qk]</cols>
</table>
<simple-id uuid='{4F59D6FF-070C-4589-AD6F-86B5D8A85FD8}' />
</worksheet>
<worksheet name='Sheet 4 (2)'>
<layout-options>
<title>
<formatted-text>
<run bold='true' fontcolor='#818b91'>Heat-Map of Income Tax Paid by the General population</run>
</formatted-text>
</title>
</layout-options>
<table>
<view>
<datasources>
<datasource caption='tax_and_gay' name='federated.0a0r44a1k0ra1y1cmt8ab15acxw6' />
</datasources>
<mapsources>
<mapsource name='Tableau' />
</mapsources>
<datasource-dependencies datasource='federated.0a0r44a1k0ra1y1cmt8ab15acxw6'>
<column aggregation='Avg' datatype='real' name='[LAT]' role='measure' semantic-role='[Geographical].[Latitude]' type='quantitative' />
<column aggregation='Avg' datatype='real' name='[LNG]' role='measure' semantic-role='[Geographical].[Longitude]' type='quantitative' />
<column-instance column='[LAT]' derivation='None' name='[none:LAT:qk]' pivot='key' type='quantitative' />
<column-instance column='[LNG]' derivation='None' name='[none:LNG:qk]' pivot='key' type='quantitative' />
<column-instance column='[overall tax paid]' derivation='None' name='[none:overall tax paid:qk]' pivot='key' type='quantitative' />
<column-instance column='[zip]' derivation='None' name='[none:zip:ok]' pivot='key' type='ordinal' />
<column caption='Overall Tax Paid' datatype='real' name='[overall tax paid]' role='measure' type='quantitative' />
<column aggregation='Sum' caption='Zip' datatype='integer' default-format='*00000' name='[zip]' role='dimension' semantic-role='[ZipCode].[Name]' type='ordinal' />
</datasource-dependencies>
<aggregation value='true' />
</view>
<style>
<style-rule element='axis'>
<encoding attr='space' class='0' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:LNG:qk]' field-type='quantitative' max='-5719949.4457263481' min='-16279542.804334402' projection='EPSG:3857' range-type='fixed' scope='cols' type='space' />
<encoding attr='space' class='0' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:LAT:qk]' field-type='quantitative' max='6691105.1448789695' min='2888174.8104210054' projection='EPSG:3857' range-type='fixed' scope='rows' type='space' />
</style-rule>
<style-rule element='legend-title-text'>
<format attr='size' field='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:overall tax paid:qk]' value='General Income Tax Paid'>
<formatted-text>
<run>General Income Tax Paid</run>
</formatted-text>
</format>
</style-rule>
<style-rule element='map-layer'>
<format attr='enabled' id='b01002_001e' value='false' />
<format attr='enabled' id='b01002_002e' value='false' />
<format attr='enabled' id='b01002_003e' value='false' />
<format attr='enabled' id='dp02_0001e' value='false' />
<format attr='enabled' id='dp02_0015e' value='false' />
<format attr='enabled' id='dp03_0027e_plus_dp03_0029e' value='false' />
<format attr='enabled' id='dp03_0028e' value='false' />
<format attr='enabled' id='dp03_0030e_plus_dp03_0031e' value='false' />
<format attr='enabled' id='dp03_0062e' value='false' />
<format attr='enabled' id='dp03_0088e' value='false' />
<format attr='enabled' id='dp04_0001e' value='false' />
<format attr='enabled' id='dp04_0046e' value='false' />
<format attr='enabled' id='dp04_0047e' value='false' />
<format attr='enabled' id='dp04_0089e' value='false' />
<format attr='enabled' id='dp05_0001e' value='false' />
<format attr='enabled' id='dp05_0002e_div_dp05_0003e' value='false' />
<format attr='enabled' id='dp05_0032e' value='false' />
<format attr='enabled' id='dp05_0033e' value='false' />
<format attr='enabled' id='dp05_0034e' value='false' />
<format attr='enabled' id='dp05_0039e' value='false' />
<format attr='enabled' id='dp05_0047e' value='false' />
<format attr='enabled' id='dp05_0053e' value='false' />
<format attr='enabled' id='dp05_0066e' value='false' />
<format attr='enabled' id='dp05_0077e' value='false' />
</style-rule>
<style-rule element='map'>
<format attr='washout' value='0' />
<format attr='map-style' value='normal' />
</style-rule>
<style-rule element='map-data-layer'>
<format attr='palette' value='tableau-map-blue-green-light' />
<format attr='geo-area-type' value='State' />
</style-rule>
</style>
<panes>
<pane id='8' selection-relaxation-option='selection-relaxation-allow'>
<view>
<breakdown value='auto' />
</view>
<mark class='Automatic' />
<encodings>
<size column='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:overall tax paid:qk]' />
<lod column='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:zip:ok]' />
</encodings>
<customized-tooltip>
<formatted-text>
<run fontcolor='#787878'>Gay Tax Rate:&#9;</run>
</formatted-text>
</customized-tooltip>
<style>
<style-rule element='mark'>
<format attr='has-halo' value='false' />
<format attr='mark-color' value='#a7acad' />
<format attr='has-stroke' value='true' />
<format attr='stroke-color' value='#606b76' />
</style-rule>
</style>
</pane>
</panes>
<rows>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:LAT:qk]</rows>
<cols>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:LNG:qk]</cols>
</table>
<simple-id uuid='{15EC1DDE-6797-43D4-ACBE-9FDCD010CEED}' />
</worksheet>
</worksheets>
<dashboards>
<dashboard _.fcp.AccessibleZoneTabOrder.true...enable-sort-zone-taborder='true' name='Dashboard 1'>
<style />
<size maxheight='900' maxwidth='1600' minheight='900' minwidth='1600' preset-index='8' sizing-mode='fixed' />
<zones>
<zone h='100000' id='4' type-v2='layout-basic' w='100000' x='0' y='0'>
<zone h='87444' id='14' param='horz' type-v2='layout-flow' w='99000' x='500' y='889'>
<zone h='87444' id='8' type-v2='layout-basic' w='99000' x='500' y='889'>
<zone h='30448' id='3' name='Sheet 1' w='48687' x='50813' y='889'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
<zone h='30448' id='5' name='Sheet 1 (2)' w='50313' x='500' y='889'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
<zone h='31473' id='6' name='Sheet 3' w='99000' x='500' y='31337'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
<zone h='25523' id='7' name='Sheet 4' w='35817' x='500' y='62810'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
<zone h='25523' id='11' name='Sheet 4' pane-specification-id='8' param='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]' type-v2='size' w='12576' x='36317' y='62810'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
<zone h='25523' id='12' name='Sheet 4 (2)' w='36320' x='48893' y='62810'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
<zone h='25523' id='15' name='Sheet 4 (2)' pane-specification-id='8' param='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:overall tax paid:qk]' type-v2='size' w='14287' x='85213' y='62810'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
</zone>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://www.northwestern.edu/civil-rights-office/images/progressprideflag-danielquasar-highrez.png' h='10778' id='24' is-scaled='1' type-v2='bitmap' w='12375' x='12875' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://assets.volvo.com/is/image/VolvoInformationTechnologyAB/transgender?qlt=82&amp;wid=768&amp;ts=1670910592253&amp;dpr=off&amp;fit=constrain&amp;fmt=png-alpha' h='10778' id='25' is-scaled='1' type-v2='bitmap' w='12375' x='74750' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://assets.volvo.com/is/image/VolvoInformationTechnologyAB/image7?qlt=82&amp;wid=768&amp;ts=1670910694457&amp;dpr=off&amp;fit=constrain&amp;fmt=png-alpha' h='10778' id='26' is-scaled='1' type-v2='bitmap' w='12375' x='62375' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://assets.volvo.com/is/image/VolvoInformationTechnologyAB/image10?qlt=82&amp;wid=768&amp;ts=1670910840541&amp;dpr=off&amp;fit=constrain&amp;fmt=png-alpha' h='10778' id='27' is-scaled='1' type-v2='bitmap' w='12375' x='50000' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://assets.volvo.com/is/image/VolvoInformationTechnologyAB/image11?qlt=82&amp;wid=768&amp;ts=1670910888857&amp;dpr=off&amp;fit=constrain&amp;fmt=png-alpha' h='10778' id='28' is-scaled='1' type-v2='bitmap' w='12375' x='87125' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://assets.volvo.com/is/image/VolvoInformationTechnologyAB/image14?qlt=82&amp;wid=768&amp;ts=1670911241536&amp;dpr=off&amp;fit=constrain&amp;fmt=png-alpha' h='10778' id='29' is-scaled='1' type-v2='bitmap' w='12375' x='37625' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://assets.volvo.com/is/image/VolvoInformationTechnologyAB/image12?qlt=82&amp;wid=768&amp;ts=1670910940053&amp;dpr=off&amp;fit=constrain&amp;fmt=png-alpha' h='10778' id='30' is-scaled='1' type-v2='bitmap' w='12375' x='25250' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://assets.volvo.com/is/image/VolvoInformationTechnologyAB/image16?qlt=82&amp;wid=768&amp;ts=1670916922526&amp;dpr=off&amp;fit=constrain&amp;fmt=png-alpha' h='10778' id='31' is-scaled='1' type-v2='bitmap' w='12375' x='500' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
</zone-style>
</zone>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='8' />
</zone-style>
</zone>
</zones>
<devicelayouts>
<devicelayout auto-generated='true' name='Phone'>
<size maxheight='2250' minheight='2250' sizing-mode='vscroll' />
<zones>
<zone h='100000' id='33' type-v2='layout-basic' w='100000' x='0' y='0'>
<zone h='98222' id='32' param='vert' type-v2='layout-flow' w='99000' x='500' y='889'>
<zone fixed-size='266' h='30448' id='5' is-fixed='true' name='Sheet 1 (2)' w='50313' x='500' y='889'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
<zone fixed-size='266' h='30448' id='3' is-fixed='true' name='Sheet 1' w='48687' x='50813' y='889'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
<zone fixed-size='275' h='31473' id='6' is-fixed='true' name='Sheet 3' w='99000' x='500' y='31337'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
<zone fixed-size='222' h='25523' id='7' is-fixed='true' name='Sheet 4' w='35817' x='500' y='62810'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
<zone h='25523' id='11' name='Sheet 4' pane-specification-id='8' param='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]' type-v2='size' w='12576' x='36317' y='62810'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
<zone fixed-size='222' h='25523' id='12' is-fixed='true' name='Sheet 4 (2)' w='36320' x='48893' y='62810'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
<zone h='25523' id='15' name='Sheet 4 (2)' pane-specification-id='8' param='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:overall tax paid:qk]' type-v2='size' w='14287' x='85213' y='62810'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://assets.volvo.com/is/image/VolvoInformationTechnologyAB/image16?qlt=82&amp;wid=768&amp;ts=1670916922526&amp;dpr=off&amp;fit=constrain&amp;fmt=png-alpha' fixed-size='89' h='10778' id='31' is-fixed='true' is-scaled='1' type-v2='bitmap' w='12375' x='500' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://www.northwestern.edu/civil-rights-office/images/progressprideflag-danielquasar-highrez.png' fixed-size='89' h='10778' id='24' is-fixed='true' is-scaled='1' type-v2='bitmap' w='12375' x='12875' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://assets.volvo.com/is/image/VolvoInformationTechnologyAB/image12?qlt=82&amp;wid=768&amp;ts=1670910940053&amp;dpr=off&amp;fit=constrain&amp;fmt=png-alpha' fixed-size='89' h='10778' id='30' is-fixed='true' is-scaled='1' type-v2='bitmap' w='12375' x='25250' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://assets.volvo.com/is/image/VolvoInformationTechnologyAB/image14?qlt=82&amp;wid=768&amp;ts=1670911241536&amp;dpr=off&amp;fit=constrain&amp;fmt=png-alpha' fixed-size='89' h='10778' id='29' is-fixed='true' is-scaled='1' type-v2='bitmap' w='12375' x='37625' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://assets.volvo.com/is/image/VolvoInformationTechnologyAB/image10?qlt=82&amp;wid=768&amp;ts=1670910840541&amp;dpr=off&amp;fit=constrain&amp;fmt=png-alpha' fixed-size='89' h='10778' id='27' is-fixed='true' is-scaled='1' type-v2='bitmap' w='12375' x='50000' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://assets.volvo.com/is/image/VolvoInformationTechnologyAB/image7?qlt=82&amp;wid=768&amp;ts=1670910694457&amp;dpr=off&amp;fit=constrain&amp;fmt=png-alpha' fixed-size='89' h='10778' id='26' is-fixed='true' is-scaled='1' type-v2='bitmap' w='12375' x='62375' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://assets.volvo.com/is/image/VolvoInformationTechnologyAB/transgender?qlt=82&amp;wid=768&amp;ts=1670910592253&amp;dpr=off&amp;fit=constrain&amp;fmt=png-alpha' fixed-size='89' h='10778' id='25' is-fixed='true' is-scaled='1' type-v2='bitmap' w='12375' x='74750' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
<zone _.fcp.ExternalImageContentForZones.true...image-file-url='https://assets.volvo.com/is/image/VolvoInformationTechnologyAB/image11?qlt=82&amp;wid=768&amp;ts=1670910888857&amp;dpr=off&amp;fit=constrain&amp;fmt=png-alpha' fixed-size='89' h='10778' id='28' is-fixed='true' is-scaled='1' type-v2='bitmap' w='12375' x='87125' y='88333'>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='4' />
<format attr='padding' value='0' />
</zone-style>
</zone>
</zone>
<zone-style>
<format attr='border-color' value='#000000' />
<format attr='border-style' value='none' />
<format attr='border-width' value='0' />
<format attr='margin' value='8' />
</zone-style>
</zone>
</zones>
</devicelayout>
</devicelayouts>
<simple-id uuid='{6E45B308-007E-4E74-B691-5DF780C32F6E}' />
</dashboard>
</dashboards>
<windows source-height='30'>
<window class='worksheet' name='Sheet 1'>
<cards>
<edge name='left'>
<strip size='160'>
<card type='pages' />
<card type='filters' />
<card type='marks' />
</strip>
</edge>
<edge name='top'>
<strip size='2147483647'>
<card type='columns' />
</strip>
<strip size='2147483647'>
<card type='rows' />
</strip>
<strip size='31'>
<card type='title' />
</strip>
</edge>
</cards>
<simple-id uuid='{2C466E4F-4C3F-4B7B-A463-5D7EDB4211FE}' />
</window>
<window class='worksheet' name='Sheet 1 (2)'>
<cards>
<edge name='left'>
<strip size='200'>
<card type='pages' />
<card type='filters' />
<card type='marks' />
</strip>
</edge>
<edge name='top'>
<strip size='2147483647'>
<card type='columns' />
</strip>
<strip size='2147483647'>
<card type='rows' />
</strip>
<strip size='2147483647'>
<card type='title' />
</strip>
</edge>
</cards>
<viewpoint>
<selection-collection>
<node-selection select-tuples='false'>
<oriented-node-reference orientation='horizontal'>
<node-reference>
<axis>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]</axis>
</node-reference>
<page-reference />
</oriented-node-reference>
</node-selection>
</selection-collection>
</viewpoint>
<simple-id uuid='{B7F39D08-947D-42A7-85E8-86D8556D453A}' />
</window>
<window class='worksheet' name='Sheet 3'>
<cards>
<edge name='left'>
<strip size='200'>
<card type='pages' />
<card type='filters' />
<card type='marks' />
</strip>
</edge>
<edge name='top'>
<strip size='2147483647'>
<card type='columns' />
</strip>
<strip size='2147483647'>
<card type='rows' />
</strip>
<strip size='2147483647'>
<card type='title' />
</strip>
</edge>
</cards>
<viewpoint>
<highlight>
<color-one-way>
<field>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[attr:gay tax rate:qk]</field>
<field>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:zip:ok]</field>
<field>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[sum:overall tax paid:qk]</field>
</color-one-way>
</highlight>
</viewpoint>
<simple-id uuid='{06CB5C66-0C65-4365-A381-F07D1E6E7051}' />
</window>
<window class='dashboard' maximized='true' name='Dashboard 1'>
<viewpoints>
<viewpoint name='Sheet 1'>
<zoom type='entire-view' />
</viewpoint>
<viewpoint name='Sheet 1 (2)'>
<zoom type='entire-view' />
</viewpoint>
<viewpoint name='Sheet 3'>
<zoom type='entire-view' />
</viewpoint>
<viewpoint name='Sheet 4'>
<zoom type='entire-view' />
</viewpoint>
<viewpoint name='Sheet 4 (2)'>
<zoom type='entire-view' />
</viewpoint>
</viewpoints>
<active id='-1' />
<simple-id uuid='{5E18D0A9-7BC0-42E4-B934-1F3E18AD402F}' />
</window>
<window class='worksheet' name='Sheet 4'>
<cards>
<edge name='left'>
<strip size='200'>
<card type='pages' />
<card type='filters' />
<card type='marks' />
</strip>
<strip size='200'>
<card type='title' />
</strip>
</edge>
<edge name='top'>
<strip size='2147483647'>
<card type='columns' />
</strip>
<strip size='2147483647'>
<card type='rows' />
</strip>
</edge>
<edge name='right'>
<strip size='200'>
<card pane-specification-id='8' param='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]' type='size' />
</strip>
</edge>
</cards>
<viewpoint>
<highlight>
<color-one-way>
<field>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:ok]</field>
<field>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]</field>
<field>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:zip:ok]</field>
<field>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[sum:overall tax paid:qk]</field>
</color-one-way>
</highlight>
</viewpoint>
<simple-id uuid='{54FC3629-08CE-4CA0-A29F-783C917C1BA2}' />
</window>
<window class='worksheet' name='Sheet 4 (2)'>
<cards>
<edge name='left'>
<strip size='160'>
<card type='pages' />
<card type='filters' />
<card type='marks' />
</strip>
<strip size='160'>
<card type='title' />
</strip>
</edge>
<edge name='top'>
<strip size='2147483647'>
<card type='columns' />
</strip>
<strip size='2147483647'>
<card type='rows' />
</strip>
</edge>
<edge name='right'>
<strip size='160'>
<card pane-specification-id='8' param='[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:overall tax paid:qk]' type='size' />
</strip>
</edge>
</cards>
<viewpoint>
<highlight>
<color-one-way>
<field>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:ok]</field>
<field>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:gay tax rate:qk]</field>
<field>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[none:zip:ok]</field>
<field>[federated.0a0r44a1k0ra1y1cmt8ab15acxw6].[sum:overall tax paid:qk]</field>
</color-one-way>
</highlight>
</viewpoint>
<simple-id uuid='{D44F96D2-9960-43C0-ABD5-FEDBDC52FE43}' />
</window>
</windows>
<thumbnails>
<thumbnail height='192' name='Dashboard 1' width='192'>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</thumbnail>
<thumbnail height='192' name='Sheet 1' width='192'>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</thumbnail>
<thumbnail height='192' name='Sheet 1 (2)' width='192'>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</thumbnail>
<thumbnail height='192' name='Sheet 3' width='192'>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</thumbnail>
<thumbnail height='192' name='Sheet 4' width='192'>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</thumbnail>
<thumbnail height='192' name='Sheet 4 (2)' width='192'>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</thumbnail>
</thumbnails>
</workbook>