diff --git a/tableau_lab.twb b/tableau_lab.twb
new file mode 100644
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+++ b/tableau_lab.twb
@@ -0,0 +1,1762 @@
+<?xml version='1.0' encoding='utf-8' ?>
+
+<!-- build 20252.25.0514.2217                               -->
+<workbook original-version='18.1' source-build='2025.2.0 (20252.25.0514.2217)' source-platform='win' version='18.1' xmlns:user='http://www.tableausoftware.com/xml/user'>
+  <document-format-change-manifest>
+    <AccessibleZoneTabOrder />
+    <AnimationOnByDefault />
+    <AutoCreateAndUpdateDSDPhoneLayouts />
+    <MarkAnimation />
+    <ObjectModelEncapsulateLegacy />
+    <ObjectModelExtractV2 />
+    <ObjectModelTableType />
+    <SchemaViewerObjectModel />
+    <SetMembershipControl />
+    <SheetIdentifierTracking />
+    <_.fcp.VConnDownstreamExtractsWithWarnings.true...VConnDownstreamExtractsWithWarnings />
+    <WindowsPersistSimpleIdentifiers />
+  </document-format-change-manifest>
+  <preferences>
+    <preference name='ui.encoding.shelf.height' value='24' />
+    <preference name='ui.shelf.height' value='26' />
+  </preferences>
+  <datasources>
+    <datasource caption='we_fn_use_c_marketing_customer_value_analysis' inline='true' name='federated.0mu2koi05n3nax1g1l44i0npwcmd' version='18.1'>
+      <connection class='federated'>
+        <named-connections>
+          <named-connection caption='we_fn_use_c_marketing_customer_value_analysis' name='textscan.0v6qf9u1lho06915r95db0zfv3st'>
+            <connection class='textscan' directory='C:/Users/Teresa Alexandra/Ironhackbootcamp/Labs' filename='we_fn_use_c_marketing_customer_value_analysis.csv' password='' server='' />
+          </named-connection>
+        </named-connections>
+        <relation connection='textscan.0v6qf9u1lho06915r95db0zfv3st' name='we_fn_use_c_marketing_customer_value_analysis.csv' table='[we_fn_use_c_marketing_customer_value_analysis#csv]' type='table'>
+          <columns character-set='UTF-8' header='yes' locale='pt_PT' separator=','>
+            <column datatype='string' name='Customer' ordinal='0' />
+            <column datatype='string' name='State' ordinal='1' />
+            <column datatype='real' name='Customer Lifetime Value' ordinal='2' />
+            <column datatype='string' name='Response' ordinal='3' />
+            <column datatype='string' name='Coverage' ordinal='4' />
+            <column datatype='string' name='Education' ordinal='5' />
+            <column datatype='date' name='Effective To Date' ordinal='6' />
+            <column datatype='string' name='EmploymentStatus' ordinal='7' />
+            <column datatype='string' name='Gender' ordinal='8' />
+            <column datatype='integer' name='Income' ordinal='9' />
+            <column datatype='string' name='Location Code' ordinal='10' />
+            <column datatype='string' name='Marital Status' ordinal='11' />
+            <column datatype='integer' name='Monthly Premium Auto' ordinal='12' />
+            <column datatype='integer' name='Months Since Last Claim' ordinal='13' />
+            <column datatype='integer' name='Months Since Policy Inception' ordinal='14' />
+            <column datatype='integer' name='Number of Open Complaints' ordinal='15' />
+            <column datatype='integer' name='Number of Policies' ordinal='16' />
+            <column datatype='string' name='Policy Type' ordinal='17' />
+            <column datatype='string' name='Policy' ordinal='18' />
+            <column datatype='string' name='Renew Offer Type' ordinal='19' />
+            <column datatype='string' name='Sales Channel' ordinal='20' />
+            <column datatype='real' name='Total Claim Amount' ordinal='21' />
+            <column datatype='string' name='Vehicle Class' ordinal='22' />
+            <column datatype='string' name='Vehicle Size' ordinal='23' />
+          </columns>
+        </relation>
+        <metadata-records>
+          <metadata-record class='capability'>
+            <remote-name />
+            <remote-type>0</remote-type>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.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;pt_PT&quot;</attribute>
+              <attribute datatype='string' name='currency'>&quot;€&quot;</attribute>
+              <attribute datatype='string' name='decimal-char'>&quot;,&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;pt_PT&quot;</attribute>
+              <attribute datatype='string' name='single-char'>&quot;&quot;</attribute>
+              <attribute datatype='string' name='thousands-char'>&quot; &quot;</attribute>
+            </attributes>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Customer</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[Customer]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Customer</remote-alias>
+            <ordinal>0</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>State</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[State]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>State</remote-alias>
+            <ordinal>1</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Customer Lifetime Value</remote-name>
+            <remote-type>5</remote-type>
+            <local-name>[Customer Lifetime Value]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Customer Lifetime Value</remote-alias>
+            <ordinal>2</ordinal>
+            <local-type>real</local-type>
+            <aggregation>Sum</aggregation>
+            <contains-null>true</contains-null>
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Response</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[Response]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Response</remote-alias>
+            <ordinal>3</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Coverage</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[Coverage]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Coverage</remote-alias>
+            <ordinal>4</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Education</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[Education]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Education</remote-alias>
+            <ordinal>5</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Effective To Date</remote-name>
+            <remote-type>133</remote-type>
+            <local-name>[Effective To Date]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Effective To Date</remote-alias>
+            <ordinal>6</ordinal>
+            <local-type>date</local-type>
+            <aggregation>Year</aggregation>
+            <contains-null>true</contains-null>
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>EmploymentStatus</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[EmploymentStatus]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>EmploymentStatus</remote-alias>
+            <ordinal>7</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Gender</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[Gender]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Gender</remote-alias>
+            <ordinal>8</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</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>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Income</remote-alias>
+            <ordinal>9</ordinal>
+            <local-type>integer</local-type>
+            <aggregation>Sum</aggregation>
+            <contains-null>true</contains-null>
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Location Code</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[Location Code]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Location Code</remote-alias>
+            <ordinal>10</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Marital Status</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[Marital Status]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Marital Status</remote-alias>
+            <ordinal>11</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Monthly Premium Auto</remote-name>
+            <remote-type>20</remote-type>
+            <local-name>[Monthly Premium Auto]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Monthly Premium Auto</remote-alias>
+            <ordinal>12</ordinal>
+            <local-type>integer</local-type>
+            <aggregation>Sum</aggregation>
+            <contains-null>true</contains-null>
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Months Since Last Claim</remote-name>
+            <remote-type>20</remote-type>
+            <local-name>[Months Since Last Claim]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Months Since Last Claim</remote-alias>
+            <ordinal>13</ordinal>
+            <local-type>integer</local-type>
+            <aggregation>Sum</aggregation>
+            <contains-null>true</contains-null>
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Months Since Policy Inception</remote-name>
+            <remote-type>20</remote-type>
+            <local-name>[Months Since Policy Inception]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Months Since Policy Inception</remote-alias>
+            <ordinal>14</ordinal>
+            <local-type>integer</local-type>
+            <aggregation>Sum</aggregation>
+            <contains-null>true</contains-null>
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Number of Open Complaints</remote-name>
+            <remote-type>20</remote-type>
+            <local-name>[Number of Open Complaints]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Number of Open Complaints</remote-alias>
+            <ordinal>15</ordinal>
+            <local-type>integer</local-type>
+            <aggregation>Sum</aggregation>
+            <contains-null>true</contains-null>
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Number of Policies</remote-name>
+            <remote-type>20</remote-type>
+            <local-name>[Number of Policies]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Number of Policies</remote-alias>
+            <ordinal>16</ordinal>
+            <local-type>integer</local-type>
+            <aggregation>Sum</aggregation>
+            <contains-null>true</contains-null>
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Policy Type</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[Policy Type]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Policy Type</remote-alias>
+            <ordinal>17</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Policy</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[Policy]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Policy</remote-alias>
+            <ordinal>18</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Renew Offer Type</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[Renew Offer Type]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Renew Offer Type</remote-alias>
+            <ordinal>19</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Sales Channel</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[Sales Channel]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Sales Channel</remote-alias>
+            <ordinal>20</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Total Claim Amount</remote-name>
+            <remote-type>5</remote-type>
+            <local-name>[Total Claim Amount]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Total Claim Amount</remote-alias>
+            <ordinal>21</ordinal>
+            <local-type>real</local-type>
+            <aggregation>Sum</aggregation>
+            <contains-null>true</contains-null>
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Vehicle Class</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[Vehicle Class]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Vehicle Class</remote-alias>
+            <ordinal>22</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+          <metadata-record class='column'>
+            <remote-name>Vehicle Size</remote-name>
+            <remote-type>129</remote-type>
+            <local-name>[Vehicle Size]</local-name>
+            <parent-name>[we_fn_use_c_marketing_customer_value_analysis.csv]</parent-name>
+            <remote-alias>Vehicle Size</remote-alias>
+            <ordinal>23</ordinal>
+            <local-type>string</local-type>
+            <aggregation>Count</aggregation>
+            <scale>1</scale>
+            <width>1073741823</width>
+            <contains-null>true</contains-null>
+            <collation flag='0' name='LPT_RPT' />
+            <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+          </metadata-record>
+        </metadata-records>
+      </connection>
+      <aliases enabled='yes' />
+      <column aggregation='CountD' datatype='string' default-role='measure' default-type='quantitative' name='[Customer]' role='dimension' type='nominal' />
+      <column datatype='string' name='[EmploymentStatus]' role='dimension' type='nominal' />
+      <column datatype='string' name='[Gender]' role='dimension' type='nominal' />
+      <column datatype='string' name='[State]' role='dimension' semantic-role='[State].[Name]' type='nominal' />
+      <column caption='we_fn_use_c_marketing_customer_value_analysis.csv' datatype='table' name='[__tableau_internal_object_id__].[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]' role='measure' type='quantitative' />
+      <column-instance column='[Gender]' derivation='None' name='[none:Gender:nk]' pivot='key' type='nominal' />
+      <group caption='Action (EmploymentStatus,Gender)' hidden='true' name='[Action (EmploymentStatus,Gender)]' name-style='unqualified' user:auto-column='sheet_link'>
+        <groupfilter function='crossjoin'>
+          <groupfilter function='level-members' level='[EmploymentStatus]' />
+          <groupfilter function='level-members' level='[Gender]' />
+        </groupfilter>
+      </group>
+      <extract _.fcp.VConnDownstreamExtractsWithWarnings.true...user-specific='false' count='-1' enabled='true' object-id='' units='records'>
+        <connection access_mode='readonly' author-locale='en_US' class='hyper' dbname='C:/Users/TERESA~1/AppData/Local/Temp/TableauTemp/#TableauTemp_0305ypf11aa7rr136z7xz0ptpp8a.hyper' default-settings='hyper' schema='Extract' sslmode='' tablename='Extract' update-time='08/28/2025 07:39:00 AM' username='tableau_internal_user'>
+          <relation name='Extract' table='[Extract].[Extract]' type='table' />
+          <metadata-records>
+            <metadata-record class='column'>
+              <remote-name>Customer</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[Customer]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Customer</remote-alias>
+              <ordinal>0</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>9134</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>State</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[State]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>State</remote-alias>
+              <ordinal>1</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>5</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Customer Lifetime Value</remote-name>
+              <remote-type>5</remote-type>
+              <local-name>[Customer Lifetime Value]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Customer Lifetime Value</remote-alias>
+              <ordinal>2</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>real</local-type>
+              <aggregation>Sum</aggregation>
+              <approx-count>4310</approx-count>
+              <contains-null>true</contains-null>
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Response</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[Response]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Response</remote-alias>
+              <ordinal>3</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>2</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Coverage</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[Coverage]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Coverage</remote-alias>
+              <ordinal>4</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>3</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Education</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[Education]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Education</remote-alias>
+              <ordinal>5</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>5</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Effective To Date</remote-name>
+              <remote-type>133</remote-type>
+              <local-name>[Effective To Date]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Effective To Date</remote-alias>
+              <ordinal>6</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>date</local-type>
+              <aggregation>Year</aggregation>
+              <approx-count>59</approx-count>
+              <contains-null>true</contains-null>
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>EmploymentStatus</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[EmploymentStatus]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>EmploymentStatus</remote-alias>
+              <ordinal>7</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>5</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Gender</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[Gender]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Gender</remote-alias>
+              <ordinal>8</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>2</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</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>[Extract]</parent-name>
+              <remote-alias>Income</remote-alias>
+              <ordinal>9</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>integer</local-type>
+              <aggregation>Sum</aggregation>
+              <approx-count>3256</approx-count>
+              <contains-null>true</contains-null>
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Location Code</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[Location Code]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Location Code</remote-alias>
+              <ordinal>10</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>3</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Marital Status</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[Marital Status]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Marital Status</remote-alias>
+              <ordinal>11</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>3</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Monthly Premium Auto</remote-name>
+              <remote-type>20</remote-type>
+              <local-name>[Monthly Premium Auto]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Monthly Premium Auto</remote-alias>
+              <ordinal>12</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>integer</local-type>
+              <aggregation>Sum</aggregation>
+              <approx-count>173</approx-count>
+              <contains-null>true</contains-null>
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Months Since Last Claim</remote-name>
+              <remote-type>20</remote-type>
+              <local-name>[Months Since Last Claim]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Months Since Last Claim</remote-alias>
+              <ordinal>13</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>integer</local-type>
+              <aggregation>Sum</aggregation>
+              <approx-count>36</approx-count>
+              <contains-null>true</contains-null>
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Months Since Policy Inception</remote-name>
+              <remote-type>20</remote-type>
+              <local-name>[Months Since Policy Inception]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Months Since Policy Inception</remote-alias>
+              <ordinal>14</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>integer</local-type>
+              <aggregation>Sum</aggregation>
+              <approx-count>100</approx-count>
+              <contains-null>true</contains-null>
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Number of Open Complaints</remote-name>
+              <remote-type>20</remote-type>
+              <local-name>[Number of Open Complaints]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Number of Open Complaints</remote-alias>
+              <ordinal>15</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>integer</local-type>
+              <aggregation>Sum</aggregation>
+              <approx-count>6</approx-count>
+              <contains-null>true</contains-null>
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Number of Policies</remote-name>
+              <remote-type>20</remote-type>
+              <local-name>[Number of Policies]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Number of Policies</remote-alias>
+              <ordinal>16</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>integer</local-type>
+              <aggregation>Sum</aggregation>
+              <approx-count>9</approx-count>
+              <contains-null>true</contains-null>
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Policy Type</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[Policy Type]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Policy Type</remote-alias>
+              <ordinal>17</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>3</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Policy</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[Policy]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Policy</remote-alias>
+              <ordinal>18</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>9</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Renew Offer Type</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[Renew Offer Type]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Renew Offer Type</remote-alias>
+              <ordinal>19</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>4</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Sales Channel</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[Sales Channel]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Sales Channel</remote-alias>
+              <ordinal>20</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>4</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Total Claim Amount</remote-name>
+              <remote-type>5</remote-type>
+              <local-name>[Total Claim Amount]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Total Claim Amount</remote-alias>
+              <ordinal>21</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>real</local-type>
+              <aggregation>Sum</aggregation>
+              <approx-count>2337</approx-count>
+              <contains-null>true</contains-null>
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Vehicle Class</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[Vehicle Class]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Vehicle Class</remote-alias>
+              <ordinal>22</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>6</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+            <metadata-record class='column'>
+              <remote-name>Vehicle Size</remote-name>
+              <remote-type>129</remote-type>
+              <local-name>[Vehicle Size]</local-name>
+              <parent-name>[Extract]</parent-name>
+              <remote-alias>Vehicle Size</remote-alias>
+              <ordinal>23</ordinal>
+              <family>we_fn_use_c_marketing_customer_value_analysis.csv</family>
+              <local-type>string</local-type>
+              <aggregation>Count</aggregation>
+              <approx-count>3</approx-count>
+              <contains-null>true</contains-null>
+              <collation flag='0' name='LPT_RPT' />
+              <object-id>[we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F]</object-id>
+            </metadata-record>
+          </metadata-records>
+        </connection>
+      </extract>
+      <layout dim-ordering='alphabetic' measure-ordering='alphabetic' show-structure='true' />
+      <style>
+        <style-rule element='mark'>
+          <encoding attr='color' field='[none:Gender:nk]' type='palette'>
+            <map to='#4e79a7'>
+              <bucket>&quot;M&quot;</bucket>
+            </map>
+            <map to='#ff9da7'>
+              <bucket>&quot;F&quot;</bucket>
+            </map>
+          </encoding>
+          <encoding attr='shape' field='[none:Gender:nk]' palette=':filled' type='shape'>
+            <map to='circle'>
+              <bucket>&quot;F&quot;</bucket>
+            </map>
+            <map to='square'>
+              <bucket>&quot;M&quot;</bucket>
+            </map>
+          </encoding>
+        </style-rule>
+      </style>
+      <semantic-values>
+        <semantic-value key='[Country].[Name]' value='&quot;Portugal&quot;' />
+      </semantic-values>
+      <object-graph>
+        <objects>
+          <object caption='we_fn_use_c_marketing_customer_value_analysis.csv' id='we_fn_use_c_marketing_customer_value_analysis.csv_CC331688699A4DA88295F8195E55E27F'>
+            <properties context=''>
+              <relation connection='textscan.0v6qf9u1lho06915r95db0zfv3st' name='we_fn_use_c_marketing_customer_value_analysis.csv' table='[we_fn_use_c_marketing_customer_value_analysis#csv]' type='table'>
+                <columns character-set='UTF-8' header='yes' locale='pt_PT' separator=','>
+                  <column datatype='string' name='Customer' ordinal='0' />
+                  <column datatype='string' name='State' ordinal='1' />
+                  <column datatype='real' name='Customer Lifetime Value' ordinal='2' />
+                  <column datatype='string' name='Response' ordinal='3' />
+                  <column datatype='string' name='Coverage' ordinal='4' />
+                  <column datatype='string' name='Education' ordinal='5' />
+                  <column datatype='date' name='Effective To Date' ordinal='6' />
+                  <column datatype='string' name='EmploymentStatus' ordinal='7' />
+                  <column datatype='string' name='Gender' ordinal='8' />
+                  <column datatype='integer' name='Income' ordinal='9' />
+                  <column datatype='string' name='Location Code' ordinal='10' />
+                  <column datatype='string' name='Marital Status' ordinal='11' />
+                  <column datatype='integer' name='Monthly Premium Auto' ordinal='12' />
+                  <column datatype='integer' name='Months Since Last Claim' ordinal='13' />
+                  <column datatype='integer' name='Months Since Policy Inception' ordinal='14' />
+                  <column datatype='integer' name='Number of Open Complaints' ordinal='15' />
+                  <column datatype='integer' name='Number of Policies' ordinal='16' />
+                  <column datatype='string' name='Policy Type' ordinal='17' />
+                  <column datatype='string' name='Policy' ordinal='18' />
+                  <column datatype='string' name='Renew Offer Type' ordinal='19' />
+                  <column datatype='string' name='Sales Channel' ordinal='20' />
+                  <column datatype='real' name='Total Claim Amount' ordinal='21' />
+                  <column datatype='string' name='Vehicle Class' ordinal='22' />
+                  <column datatype='string' name='Vehicle Size' ordinal='23' />
+                </columns>
+              </relation>
+            </properties>
+            <properties context='extract'>
+              <relation name='Extract' table='[Extract].[Extract]' type='table' />
+            </properties>
+          </object>
+        </objects>
+      </object-graph>
+    </datasource>
+  </datasources>
+  <actions>
+    <action caption='Filter 1 (generated)' name='[Action1_0F477F3873CE4FFBABE9D71A0AA765F2]'>
+      <activation auto-clear='true' type='on-select' />
+      <source dashboard='Dashboard Assembly ' type='sheet' worksheet='Employment and Gender Barplot' />
+      <command command='tsc:tsl-filter'>
+        <param name='special-fields' value='all' />
+        <param name='target' value='Dashboard Assembly ' />
+      </command>
+    </action>
+  </actions>
+  <worksheets>
+    <worksheet name='Employment and Gender Barplot'>
+      <layout-options>
+        <title>
+          <formatted-text>
+            <run fontalignment='1'>Customer Employment Status by Gender</run>
+          </formatted-text>
+        </title>
+      </layout-options>
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+            <column datatype='string' name='[Gender]' role='dimension' type='nominal' />
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+            <column-instance column='[Customer]' derivation='CountD' name='[pcto:ctd:Customer:qk]' pivot='key' type='quantitative'>
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+            <column datatype='string' name='[EmploymentStatus]' role='dimension' type='nominal' />
+            <column datatype='string' name='[Gender]' role='dimension' type='nominal' />
+            <column datatype='string' name='[Marital Status]' role='dimension' type='nominal' />
+            <column-instance column='[Gender]' derivation='None' name='[none:Gender:nk]' pivot='key' type='nominal' />
+            <column-instance column='[Marital Status]' derivation='None' name='[none:Marital Status:nk]' pivot='key' type='nominal' />
+            <column-instance column='[Customer]' derivation='CountD' name='[pcto:ctd:Customer:qk]' pivot='key' type='quantitative'>
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+        </title>
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+      <table>
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+            <column datatype='string' name='[Gender]' role='dimension' type='nominal' />
+            <column datatype='string' name='[State]' role='dimension' semantic-role='[State].[Name]' type='nominal' />
+            <column-instance column='[State]' derivation='None' name='[none:State:nk]' pivot='key' type='nominal' />
+            <column-instance column='[Customer]' derivation='CountD' name='[pcto:ctd:Customer:qk]' pivot='key' type='quantitative'>
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+            <zone h='91957' id='8' type-v2='layout-basic' w='99064' x='468' y='7228'>
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+            <card type='marks' />
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+      <cards>
+        <edge name='left'>
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+            <card type='pages' />
+            <card type='filters' />
+            <card type='marks' />
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+      <simple-id uuid='{20C6BD48-37DF-46C2-B1AF-F3D7F8E1683C}' />
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+      <cards>
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+  </thumbnails>
+</workbook>