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RFM_Analysis.twb
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<?xml version='1.0' encoding='utf-8' ?>
<!-- build 20243.24.1010.1014 -->
<workbook original-version='18.1' source-build='2024.3.0 (20243.24.1010.1014)' source-platform='mac' version='18.1' xml:base='https://public.tableau.com' xmlns:user='http://www.tableausoftware.com/xml/user'>
<document-format-change-manifest>
<AccessibleZoneTabOrder />
<AnimationOnByDefault />
<AutoCreateAndUpdateDSDPhoneLayouts />
<MarkAnimation />
<ObjectModelEncapsulateLegacy />
<ObjectModelExtractV2 />
<ObjectModelTableType />
<SchemaViewerObjectModel />
<SetMembershipControl />
<SheetIdentifierTracking />
<SortTagCleanup />
<_.fcp.VConnDownstreamExtractsWithWarnings.true...VConnDownstreamExtractsWithWarnings />
<WindowsPersistSimpleIdentifiers />
<WorksheetBackgroundTransparency />
</document-format-change-manifest>
<repository-location id='RFM_Analysis_17358626428770' path='/workbooks' revision='1.2' />
<preferences>
<preference name='ui.encoding.shelf.height' value='24' />
<preference name='ui.shelf.height' value='26' />
</preferences>
<datasources>
<datasource caption='rfm' inline='true' name='federated.0twbd1j0rgtcfn10glm7017aus7i' version='18.1'>
<connection class='federated'>
<named-connections>
<named-connection caption='rfm' name='textscan.05fs6691ihwatd19kesu71shic5b'>
<connection class='textscan' directory='/Users/danawalker/Desktop/Creativity/data_projects/MarketBasket_Analysis/customer_segmentation' filename='rfm.csv' password='' server='' workgroup-auth-mode='as-is' />
</named-connection>
</named-connections>
<relation connection='textscan.05fs6691ihwatd19kesu71shic5b' name='rfm.csv' table='[rfm#csv]' type='table'>
<columns character-set='UTF-8' header='yes' locale='en_US' separator=','>
<column datatype='integer' name='user_id' ordinal='0' />
<column datatype='integer' name='recency' ordinal='1' />
<column datatype='integer' name='frequency' ordinal='2' />
<column datatype='real' name='value' ordinal='3' />
<column datatype='integer' name='receny_score' ordinal='4' />
<column datatype='integer' name='frequency_score' ordinal='5' />
<column datatype='integer' name='monetary_score' ordinal='6' />
<column datatype='integer' name='rfm_score' ordinal='7' />
<column datatype='string' name='RFM_segment' ordinal='8' />
<column datatype='integer' name='cluster' ordinal='9' />
</columns>
</relation>
<metadata-records>
<metadata-record class='capability'>
<remote-name />
<remote-type>0</remote-type>
<parent-name>[rfm.csv]</parent-name>
<remote-alias />
<aggregation>Count</aggregation>
<contains-null>true</contains-null>
<attributes>
<attribute datatype='string' name='character-set'>"UTF-8"</attribute>
<attribute datatype='string' name='collation'>"en_US"</attribute>
<attribute datatype='string' name='field-delimiter'>","</attribute>
<attribute datatype='string' name='header-row'>"true"</attribute>
<attribute datatype='string' name='locale'>"en_US"</attribute>
<attribute datatype='string' name='single-char'>""</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>user_id</remote-name>
<remote-type>20</remote-type>
<local-name>[user_id]</local-name>
<parent-name>[rfm.csv]</parent-name>
<remote-alias>user_id</remote-alias>
<ordinal>0</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<object-id>[rfm.csv_E0711BA302BD4A9CA112058DC504353D]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>recency</remote-name>
<remote-type>20</remote-type>
<local-name>[recency]</local-name>
<parent-name>[rfm.csv]</parent-name>
<remote-alias>recency</remote-alias>
<ordinal>1</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<object-id>[rfm.csv_E0711BA302BD4A9CA112058DC504353D]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>frequency</remote-name>
<remote-type>20</remote-type>
<local-name>[frequency]</local-name>
<parent-name>[rfm.csv]</parent-name>
<remote-alias>frequency</remote-alias>
<ordinal>2</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<object-id>[rfm.csv_E0711BA302BD4A9CA112058DC504353D]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>value</remote-name>
<remote-type>5</remote-type>
<local-name>[value]</local-name>
<parent-name>[rfm.csv]</parent-name>
<remote-alias>value</remote-alias>
<ordinal>3</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<object-id>[rfm.csv_E0711BA302BD4A9CA112058DC504353D]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>receny_score</remote-name>
<remote-type>20</remote-type>
<local-name>[receny_score]</local-name>
<parent-name>[rfm.csv]</parent-name>
<remote-alias>receny_score</remote-alias>
<ordinal>4</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<object-id>[rfm.csv_E0711BA302BD4A9CA112058DC504353D]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>frequency_score</remote-name>
<remote-type>20</remote-type>
<local-name>[frequency_score]</local-name>
<parent-name>[rfm.csv]</parent-name>
<remote-alias>frequency_score</remote-alias>
<ordinal>5</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<object-id>[rfm.csv_E0711BA302BD4A9CA112058DC504353D]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>monetary_score</remote-name>
<remote-type>20</remote-type>
<local-name>[monetary_score]</local-name>
<parent-name>[rfm.csv]</parent-name>
<remote-alias>monetary_score</remote-alias>
<ordinal>6</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<object-id>[rfm.csv_E0711BA302BD4A9CA112058DC504353D]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>rfm_score</remote-name>
<remote-type>20</remote-type>
<local-name>[rfm_score]</local-name>
<parent-name>[rfm.csv]</parent-name>
<remote-alias>rfm_score</remote-alias>
<ordinal>7</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<object-id>[rfm.csv_E0711BA302BD4A9CA112058DC504353D]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>RFM_segment</remote-name>
<remote-type>129</remote-type>
<local-name>[RFM_segment]</local-name>
<parent-name>[rfm.csv]</parent-name>
<remote-alias>RFM_segment</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='LEN_RUS' />
<object-id>[rfm.csv_E0711BA302BD4A9CA112058DC504353D]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>cluster</remote-name>
<remote-type>20</remote-type>
<local-name>[cluster]</local-name>
<parent-name>[rfm.csv]</parent-name>
<remote-alias>cluster</remote-alias>
<ordinal>9</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<object-id>[rfm.csv_E0711BA302BD4A9CA112058DC504353D]</object-id>
</metadata-record>
</metadata-records>
</connection>
<aliases enabled='yes' />
<column datatype='string' name='[:Measure Names]' role='dimension' type='nominal'>
<aliases>
<alias key='"[federated.0twbd1j0rgtcfn10glm7017aus7i].[cnt:frequency:qk]"' value='Freq. User Count' />
<alias key='"[federated.0twbd1j0rgtcfn10glm7017aus7i].[cnt:recency:qk]"' value='Rec. User Count' />
<alias key='"[federated.0twbd1j0rgtcfn10glm7017aus7i].[cnt:value:qk]"' value='Value User Count' />
<alias key='"[federated.0twbd1j0rgtcfn10glm7017aus7i].[pcto:cnt:frequency:qk:1]"' value='% Freq. User Count ' />
<alias key='"[federated.0twbd1j0rgtcfn10glm7017aus7i].[pcto:cnt:frequency:qk]"' value='% Freq. User Count' />
<alias key='"[federated.0twbd1j0rgtcfn10glm7017aus7i].[pcto:cnt:recency:qk]"' value='% Rec. User Count' />
<alias key='"[federated.0twbd1j0rgtcfn10glm7017aus7i].[pcto:cnt:value:qk]"' value='% Value User Count' />
<alias key='"[federated.0twbd1j0rgtcfn10glm7017aus7i].[pcto:sum:frequency:qk:1]"' value='% of Total' />
</aliases>
</column>
<column caption='Frequency Groups' datatype='string' name='[Calculation_4437523408529309696]' role='dimension' type='nominal'>
<calculation class='tableau' formula='IF [frequency] = 1 then '1x' ELSEIF [frequency] = 2 then '2x' ELSEIF [frequency] = 3 then '3x' ELSEIF [frequency] = 4 then '4x' ELSEIF [frequency] = 5 then '5x' ELSEIF [frequency] = 6 then '6x' ELSEIF [frequency] = 7 then '7x' ELSEIF [frequency] = 8 then '8x' ELSEIF [frequency] = 9 then '9x' ELSEIF [frequency] = 10 then '10x' ELSEIF [frequency] = 11 then '11x' ELSEIF [frequency] = 12 then '12x' ELSEIF [frequency] = 13 then '13x' END' />
</column>
<column caption='Min_Frequency' datatype='integer' name='[Calculation_4548635655600988160]' role='measure' type='quantitative'>
<calculation class='tableau' formula='MIN([frequency])' />
</column>
<column caption='Max_Frequency' datatype='integer' name='[Calculation_4548635655601106945]' role='measure' type='quantitative'>
<calculation class='tableau' formula='max([frequency])' />
</column>
<column caption='Med_Frequency' datatype='real' name='[Calculation_4548635655601160194]' role='measure' type='quantitative'>
<calculation class='tableau' formula='MEDIAN([frequency])' />
</column>
<column caption='Stdev_Frequency' datatype='real' name='[Calculation_4548635655601217539]' role='measure' type='quantitative'>
<calculation class='tableau' formula='STDEV([frequency])' />
</column>
<column caption='Recency Group Colors' datatype='string' name='[Calculation_5532320330750881793]' role='dimension' type='nominal'>
<calculation class='tableau' formula='IF INT([recency] / 90) = 0 THEN "Group 0-89 Days (Lightest)" ELSEIF ([recency] / 90) = 1 THEN "Group 90-179 Days" ELSEIF INT([recency] / 90) = 2 THEN "Group 180-269 Days" ELSEIF INT([recency] / 90) = 3 THEN "Group 270-359 Days" ELSEIF INT([recency] / 90) = 4 THEN "Group 360-449 Days" ELSEIF INT([recency] / 90) = 5 THEN "Group 450-539 Days" ELSEIF INT([recency] / 90) = 6 THEN "Group 540-629 Days" ELSEIF INT([recency] / 90) = 7 THEN "Group 630-719 Days (Darkest)" ELSEIF INT([recency] / 90) = 8 THEN "Group 720+ Days (Darkest)" END' />
</column>
<column caption='RFM segment' datatype='string' name='[RFM_segment]' role='dimension' type='nominal' />
<column caption='Value Groups ' datatype='string' name='[Recency Groups (copy)_4321133505650405385]' role='dimension' type='nominal'>
<calculation class='tableau' formula='IF [value] <= 2000 THEN '$0 to $2000' ELSEIF [value] > 2000 AND [value] <= 4000 THEN '$2000 to $4000' ELSEIF [value] > 4000 AND [value] <= 6000 THEN '$4001 to $6000' ELSEIF [value] > 6000 AND [value] <= 8000 THEN '$6001 to $8000' ELSEIF [value] > 8000 AND [value] <= 10000 THEN '$8001 to $10000' ELSEIF [value] > 10000 AND [value] <= 12000 THEN '$10001 to $12000' ELSEIF [value] > 12000 AND [value] <= 14000 THEN '$12001 to $14000' ELSEIF [value] > 14000 AND [value] <= 16000 THEN '$14001 to $16000' ELSEIF [value] > 16000 AND [value] <= 18000 THEN '$16001 to $18000' ELSEIF [value] > 18000 AND [value] <= 20000 THEN '$18001 to $20000' ELSEIF [value] > 20000 THEN 'More than $20000' END' />
</column>
<column caption='Recency Groups' datatype='string' name='[Recency Groups (copy)_5532320330741477376]' role='dimension' type='nominal'>
<calculation class='tableau' formula='STR(INT([recency] / 90) * 90) + "-" + STR(INT([recency] / 90) * 90 + 89) + " Days"' />
</column>
<column caption='rfm.csv' datatype='table' name='[__tableau_internal_object_id__].[rfm.csv_E0711BA302BD4A9CA112058DC504353D]' role='measure' type='quantitative' />
<column caption='Cluster' datatype='integer' name='[cluster]' role='measure' type='quantitative' />
<column aggregation='Sum' caption='Frequency' datatype='integer' name='[frequency]' role='dimension' type='ordinal' />
<column caption='Frequency Score' datatype='integer' name='[frequency_score]' role='measure' type='quantitative' />
<column caption='Monetary Score' datatype='integer' name='[monetary_score]' role='measure' type='quantitative' />
<column caption='Recency' datatype='integer' name='[recency]' role='measure' type='quantitative' />
<column caption='Receny Score' datatype='integer' name='[receny_score]' role='measure' type='quantitative' />
<column caption='Rfm Score' datatype='integer' name='[rfm_score]' role='measure' type='quantitative' />
<column caption='User Id' datatype='integer' name='[user_id]' role='dimension' type='ordinal' />
<column caption='Value' datatype='real' name='[value]' role='measure' type='quantitative' />
<column-instance column='[__tableau_internal_object_id__].[rfm.csv_E0711BA302BD4A9CA112058DC504353D]' derivation='Count' name='[__tableau_internal_object_id__].[cnt:rfm.csv_E0711BA302BD4A9CA112058DC504353D:qk]' pivot='key' type='quantitative' />
<column-instance column='[frequency]' derivation='Count' name='[cnt:frequency:qk]' pivot='key' type='quantitative' />
<column-instance column='[recency]' derivation='Count' name='[cnt:recency:qk]' pivot='key' type='quantitative' />
<column-instance column='[value]' derivation='Count' name='[cnt:value:qk]' pivot='key' type='quantitative' />
<column-instance column='[frequency]' derivation='Median' name='[med:frequency:qk]' pivot='key' type='quantitative' />
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