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5309 lines (5308 loc) · 348 KB
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<?xml version='1.0' encoding='utf-8' ?>
<!-- build 20251.25.0520.1026 -->
<workbook original-version='18.1' source-build='2025.1.2 (20251.25.0520.1026)' source-platform='win' version='18.1' xmlns:user='http://www.tableausoftware.com/xml/user'>
<document-format-change-manifest>
<AccessibleZoneTabOrder />
<AnimationOnByDefault />
<AutoCreateAndUpdateDSDPhoneLayouts />
<MapboxVectorStylesAndLayers />
<MarkAnimation />
<ObjectModelEncapsulateLegacy />
<ObjectModelExtractV2 />
<ObjectModelTableType />
<SchemaViewerObjectModel />
<SetMembershipControl />
<SheetIdentifierTracking />
<_.fcp.VConnDownstreamExtractsWithWarnings.true...VConnDownstreamExtractsWithWarnings />
<WindowsPersistSimpleIdentifiers />
<WorksheetBackgroundTransparency />
<ZoneBackgroundTransparency />
</document-format-change-manifest>
<preferences>
<preference name='ui.encoding.shelf.height' value='24' />
<preference name='ui.shelf.height' value='26' />
</preferences>
<datasources>
<datasource caption='train' inline='true' name='federated.1r44ed51hk3vjb16rfmhq11tzid0' version='18.1'>
<connection class='federated'>
<named-connections>
<named-connection caption='train' name='textscan.0q2st6y1x7gfx41f8lbbx0wl122f'>
<connection class='textscan' directory='C:/Users/Vedika/Desktop' filename='train.csv' password='' server='' />
</named-connection>
</named-connections>
<relation connection='textscan.0q2st6y1x7gfx41f8lbbx0wl122f' name='train.csv' table='[train#csv]' type='table'>
<columns character-set='windows-1252' header='yes' locale='en_IN' separator=','>
<column datatype='integer' name='Row ID' ordinal='0' />
<column datatype='string' name='Order ID' ordinal='1' />
<column datatype='date' name='Order Date' ordinal='2' />
<column datatype='date' name='Ship Date' ordinal='3' />
<column datatype='string' name='Ship Mode' ordinal='4' />
<column datatype='string' name='Customer ID' ordinal='5' />
<column datatype='string' name='Segment' ordinal='6' />
<column datatype='string' name='Country' ordinal='7' />
<column datatype='string' name='City' ordinal='8' />
<column datatype='string' name='State' ordinal='9' />
<column datatype='integer' name='Postal Code' ordinal='10' />
<column datatype='string' name='Region' ordinal='11' />
<column datatype='string' name='Product ID' ordinal='12' />
<column datatype='string' name='Category' ordinal='13' />
<column datatype='string' name='Sub-Category' ordinal='14' />
<column datatype='real' name='Sales' ordinal='15' />
<column datatype='string' name='MONTHNAME' ordinal='16' />
<column datatype='integer' name='YEAR' ordinal='17' />
<column datatype='string' name='Product Type' ordinal='18' />
<column datatype='string' name='Product Name' ordinal='19' />
<column datatype='string' name='Name' ordinal='20' />
</columns>
</relation>
<metadata-records>
<metadata-record class='capability'>
<remote-name />
<remote-type>0</remote-type>
<parent-name>[train.csv]</parent-name>
<remote-alias />
<aggregation>Count</aggregation>
<contains-null>true</contains-null>
<attributes>
<attribute datatype='string' name='character-set'>"ibm-5348_P100-1997"</attribute>
<attribute datatype='string' name='collation'>"en_GB"</attribute>
<attribute datatype='string' name='currency'>"₹"</attribute>
<attribute datatype='string' name='field-delimiter'>","</attribute>
<attribute datatype='string' name='header-row'>"true"</attribute>
<attribute datatype='string' name='locale'>"en_IN"</attribute>
<attribute datatype='string' name='single-char'>""</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>Row ID</remote-name>
<remote-type>20</remote-type>
<local-name>[Row ID]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Row ID</remote-alias>
<ordinal>0</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Order ID</remote-name>
<remote-type>129</remote-type>
<local-name>[Order ID]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Order ID</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='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Order Date</remote-name>
<remote-type>133</remote-type>
<local-name>[Order Date]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Order Date</remote-alias>
<ordinal>2</ordinal>
<local-type>date</local-type>
<aggregation>Year</aggregation>
<contains-null>true</contains-null>
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Ship Date</remote-name>
<remote-type>133</remote-type>
<local-name>[Ship Date]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Ship Date</remote-alias>
<ordinal>3</ordinal>
<local-type>date</local-type>
<aggregation>Year</aggregation>
<contains-null>true</contains-null>
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Ship Mode</remote-name>
<remote-type>129</remote-type>
<local-name>[Ship Mode]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Ship Mode</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='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Customer ID</remote-name>
<remote-type>129</remote-type>
<local-name>[Customer ID]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Customer ID</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='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Segment</remote-name>
<remote-type>129</remote-type>
<local-name>[Segment]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Segment</remote-alias>
<ordinal>6</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_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Country</remote-name>
<remote-type>129</remote-type>
<local-name>[Country]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Country</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='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>City</remote-name>
<remote-type>129</remote-type>
<local-name>[City]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>City</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_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</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>[train.csv]</parent-name>
<remote-alias>State</remote-alias>
<ordinal>9</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_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Postal Code</remote-name>
<remote-type>20</remote-type>
<local-name>[Postal Code]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Postal Code</remote-alias>
<ordinal>10</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Region</remote-name>
<remote-type>129</remote-type>
<local-name>[Region]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Region</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='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Product ID</remote-name>
<remote-type>129</remote-type>
<local-name>[Product ID]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Product ID</remote-alias>
<ordinal>12</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_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Category</remote-name>
<remote-type>129</remote-type>
<local-name>[Category]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Category</remote-alias>
<ordinal>13</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_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Sub-Category</remote-name>
<remote-type>129</remote-type>
<local-name>[Sub-Category]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Sub-Category</remote-alias>
<ordinal>14</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_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Sales</remote-name>
<remote-type>5</remote-type>
<local-name>[Sales]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Sales</remote-alias>
<ordinal>15</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>MONTHNAME</remote-name>
<remote-type>129</remote-type>
<local-name>[MONTHNAME]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>MONTHNAME</remote-alias>
<ordinal>16</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_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>YEAR</remote-name>
<remote-type>20</remote-type>
<local-name>[YEAR]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>YEAR</remote-alias>
<ordinal>17</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Product Type</remote-name>
<remote-type>129</remote-type>
<local-name>[Product Type]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Product Type</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='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Product Name</remote-name>
<remote-type>129</remote-type>
<local-name>[Product Name]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Product Name</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='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Name</remote-name>
<remote-type>129</remote-type>
<local-name>[Name]</local-name>
<parent-name>[train.csv]</parent-name>
<remote-alias>Name</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='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
</metadata-records>
</connection>
<aliases enabled='yes' />
<column caption='Total Sales' datatype='real' name='[Calculation_1315332606047121408]' role='measure' type='quantitative'>
<calculation class='tableau' formula='SUM([Sales])' />
</column>
<column caption='Total Profit ' datatype='real' name='[Calculation_1315332606061940737]' role='measure' type='quantitative'>
<calculation class='tableau' formula='[Sales] * 0.2' />
</column>
<column caption='Profit Margin' datatype='real' datatype-customized='true' name='[Calculation_1315332606062120962]' role='measure' type='quantitative'>
<calculation class='tableau' formula='[Calculation_1315332606066421764] / [Sales]' />
</column>
<column caption='Profit' datatype='real' name='[Calculation_1315332606066421764]' role='measure' type='quantitative'>
<calculation class='tableau' formula='[Sales] * 0.2' />
</column>
<column datatype='string' name='[Category]' role='dimension' type='nominal' />
<column datatype='string' name='[City]' role='dimension' semantic-role='[City].[Name]' type='nominal' />
<column datatype='string' name='[Country]' role='dimension' semantic-role='[Country].[ISO3166_2]' type='nominal' />
<column aggregation='CountD' datatype='string' default-role='measure' default-type='quantitative' name='[Customer ID]' role='dimension' type='nominal' />
<column caption='Monthname' datatype='string' name='[MONTHNAME]' role='dimension' type='nominal' />
<column aggregation='CountD' datatype='string' default-role='measure' default-type='quantitative' name='[Order ID]' role='dimension' type='nominal' />
<column aggregation='Sum' datatype='integer' default-format='*00000' name='[Postal Code]' role='dimension' semantic-role='[ZipCode].[Name]' type='ordinal' />
<column datatype='string' name='[Product Name]' role='dimension' type='nominal' />
<column datatype='integer' name='[Row ID]' role='dimension' type='ordinal' />
<column datatype='string' name='[State]' role='dimension' semantic-role='[State].[Name]' type='nominal' />
<column datatype='string' name='[Sub-Category]' role='dimension' type='nominal' />
<column caption='Year' datatype='integer' name='[YEAR]' role='dimension' type='quantitative' />
<column caption='train.csv' datatype='table' name='[__tableau_internal_object_id__].[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]' role='measure' type='quantitative' />
<column-instance column='[Category]' derivation='None' name='[none:Category:nk]' pivot='key' type='nominal' />
<column-instance column='[YEAR]' derivation='None' name='[none:YEAR:ok]' pivot='key' type='ordinal' />
<group caption='Action (Category,Sub-Category)' hidden='true' name='[Action (Category,Sub-Category)]' name-style='unqualified' user:auto-column='sheet_link'>
<groupfilter function='crossjoin'>
<groupfilter function='level-members' level='[Category]' />
<groupfilter function='level-members' level='[Sub-Category]' />
</groupfilter>
</group>
<group caption='Action (Category,Year)' hidden='true' name='[Action (Category,Year)]' name-style='unqualified' user:auto-column='sheet_link'>
<groupfilter function='crossjoin'>
<groupfilter function='level-members' level='[Category]' />
<groupfilter function='level-members' level='[none:YEAR:ok]' />
</groupfilter>
</group>
<group caption='Action (Product Name)' hidden='true' name='[Action (Product Name)]' name-style='unqualified' user:auto-column='sheet_link'>
<groupfilter function='crossjoin'>
<groupfilter function='level-members' level='[Product Name]' />
</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/Vedika/AppData/Local/Temp/TableauTemp/#TableauTemp_0yyoglz1lrt67c1av150n0iyvvlp.hyper' default-settings='hyper' schema='Extract' sslmode='' tablename='Extract' update-time='08/05/2025 07:48:45 PM' username='tableau_internal_user'>
<relation name='Extract' table='[Extract].[Extract]' type='table' />
<metadata-records>
<metadata-record class='column'>
<remote-name>Row ID</remote-name>
<remote-type>20</remote-type>
<local-name>[Row ID]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Row ID</remote-alias>
<ordinal>0</ordinal>
<family>train.csv</family>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<approx-count>9800</approx-count>
<contains-null>true</contains-null>
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Order ID</remote-name>
<remote-type>129</remote-type>
<local-name>[Order ID]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Order ID</remote-alias>
<ordinal>1</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>3215</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Order Date</remote-name>
<remote-type>133</remote-type>
<local-name>[Order Date]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Order Date</remote-alias>
<ordinal>2</ordinal>
<family>train.csv</family>
<local-type>date</local-type>
<aggregation>Year</aggregation>
<approx-count>1347</approx-count>
<contains-null>true</contains-null>
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Ship Date</remote-name>
<remote-type>133</remote-type>
<local-name>[Ship Date]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Ship Date</remote-alias>
<ordinal>3</ordinal>
<family>train.csv</family>
<local-type>date</local-type>
<aggregation>Year</aggregation>
<approx-count>1446</approx-count>
<contains-null>true</contains-null>
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Ship Mode</remote-name>
<remote-type>129</remote-type>
<local-name>[Ship Mode]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Ship Mode</remote-alias>
<ordinal>4</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>4</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Customer ID</remote-name>
<remote-type>129</remote-type>
<local-name>[Customer ID]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Customer ID</remote-alias>
<ordinal>5</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>1145</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Segment</remote-name>
<remote-type>129</remote-type>
<local-name>[Segment]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Segment</remote-alias>
<ordinal>6</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>3</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Country</remote-name>
<remote-type>129</remote-type>
<local-name>[Country]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Country</remote-alias>
<ordinal>7</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>1</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>City</remote-name>
<remote-type>129</remote-type>
<local-name>[City]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>City</remote-alias>
<ordinal>8</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>548</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</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>9</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>50</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Postal Code</remote-name>
<remote-type>20</remote-type>
<local-name>[Postal Code]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Postal Code</remote-alias>
<ordinal>10</ordinal>
<family>train.csv</family>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<approx-count>659</approx-count>
<contains-null>true</contains-null>
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Region</remote-name>
<remote-type>129</remote-type>
<local-name>[Region]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Region</remote-alias>
<ordinal>11</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>4</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Product ID</remote-name>
<remote-type>129</remote-type>
<local-name>[Product ID]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Product ID</remote-alias>
<ordinal>12</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>2079</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Category</remote-name>
<remote-type>129</remote-type>
<local-name>[Category]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Category</remote-alias>
<ordinal>13</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>3</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Sub-Category</remote-name>
<remote-type>129</remote-type>
<local-name>[Sub-Category]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Sub-Category</remote-alias>
<ordinal>14</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>17</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Sales</remote-name>
<remote-type>5</remote-type>
<local-name>[Sales]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Sales</remote-alias>
<ordinal>15</ordinal>
<family>train.csv</family>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<approx-count>3399</approx-count>
<contains-null>true</contains-null>
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>MONTHNAME</remote-name>
<remote-type>129</remote-type>
<local-name>[MONTHNAME]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>MONTHNAME</remote-alias>
<ordinal>16</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>12</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>YEAR</remote-name>
<remote-type>20</remote-type>
<local-name>[YEAR]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>YEAR</remote-alias>
<ordinal>17</ordinal>
<family>train.csv</family>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<approx-count>4</approx-count>
<contains-null>true</contains-null>
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Product Type</remote-name>
<remote-type>129</remote-type>
<local-name>[Product Type]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Product Type</remote-alias>
<ordinal>18</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>597</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Product Name</remote-name>
<remote-type>129</remote-type>
<local-name>[Product Name]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Product Name</remote-alias>
<ordinal>19</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>1911</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>Name</remote-name>
<remote-type>129</remote-type>
<local-name>[Name]</local-name>
<parent-name>[Extract]</parent-name>
<remote-alias>Name</remote-alias>
<ordinal>20</ordinal>
<family>train.csv</family>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<approx-count>1145</approx-count>
<contains-null>true</contains-null>
<collation flag='0' name='LEN_RGB' />
<object-id>[train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4]</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:Category:nk]' type='palette'>
<map to='#4e79a7'>
<bucket>"Furniture"</bucket>
</map>
<map to='#e15759'>
<bucket>"Technology"</bucket>
</map>
<map to='#f28e2b'>
<bucket>"Office Supplies"</bucket>
</map>
</encoding>
</style-rule>
</style>
<semantic-values>
<semantic-value key='[Country].[Name]' value='"India"' />
</semantic-values>
<object-graph>
<objects>
<object caption='train.csv' id='train.csv_C1C242609CD64B9E9BA69CBE0ED8A7F4'>
<properties context=''>
<relation connection='textscan.0q2st6y1x7gfx41f8lbbx0wl122f' name='train.csv' table='[train#csv]' type='table'>
<columns character-set='windows-1252' header='yes' locale='en_IN' separator=','>
<column datatype='integer' name='Row ID' ordinal='0' />
<column datatype='string' name='Order ID' ordinal='1' />
<column datatype='date' name='Order Date' ordinal='2' />
<column datatype='date' name='Ship Date' ordinal='3' />
<column datatype='string' name='Ship Mode' ordinal='4' />
<column datatype='string' name='Customer ID' ordinal='5' />
<column datatype='string' name='Segment' ordinal='6' />
<column datatype='string' name='Country' ordinal='7' />
<column datatype='string' name='City' ordinal='8' />
<column datatype='string' name='State' ordinal='9' />
<column datatype='integer' name='Postal Code' ordinal='10' />
<column datatype='string' name='Region' ordinal='11' />
<column datatype='string' name='Product ID' ordinal='12' />
<column datatype='string' name='Category' ordinal='13' />
<column datatype='string' name='Sub-Category' ordinal='14' />
<column datatype='real' name='Sales' ordinal='15' />
<column datatype='string' name='MONTHNAME' ordinal='16' />
<column datatype='integer' name='YEAR' ordinal='17' />
<column datatype='string' name='Product Type' ordinal='18' />
<column datatype='string' name='Product Name' ordinal='19' />
<column datatype='string' name='Name' ordinal='20' />
</columns>
</relation>
</properties>
<properties context='extract'>
<relation name='Extract' table='[Extract].[Extract]' type='table' />
</properties>
</object>
</objects>
</object-graph>
</datasource>
</datasources>
<mapsources>
<mapsource name='Tableau' />
</mapsources>
<shared-views>
<shared-view name='federated.1r44ed51hk3vjb16rfmhq11tzid0'>
<datasources>
<datasource caption='train' name='federated.1r44ed51hk3vjb16rfmhq11tzid0' />
</datasources>
<datasource-dependencies datasource='federated.1r44ed51hk3vjb16rfmhq11tzid0'>
<column caption='Monthname' datatype='string' name='[MONTHNAME]' role='dimension' type='nominal' />
<column datatype='string' name='[Name]' role='dimension' type='nominal' />
<column-instance column='[MONTHNAME]' derivation='None' name='[none:MONTHNAME:nk]' pivot='key' type='nominal' />
<column-instance column='[Name]' derivation='None' name='[none:Name:nk]' pivot='key' type='nominal' />
</datasource-dependencies>
<filter class='categorical' column='[federated.1r44ed51hk3vjb16rfmhq11tzid0].[none:MONTHNAME:nk]'>
<groupfilter function='level-members' level='[none:MONTHNAME:nk]' user:ui-enumeration='all' user:ui-marker='enumerate' />
</filter>
<filter class='categorical' column='[federated.1r44ed51hk3vjb16rfmhq11tzid0].[none:Name:nk]'>
<groupfilter function='level-members' level='[none:Name:nk]' user:ui-enumeration='all' user:ui-marker='enumerate' />
</filter>
</shared-view>
</shared-views>
<actions>
<action caption='Filter1 1' name='[Action3_328F4A16D5A8490FA0299EEA02CF0CB3]'>
<activation auto-clear='true' type='on-select' />
<source dashboard='Dashboard 1' type='sheet'>
<exclude-sheet name='Profit Margin' />
<exclude-sheet name='Total Orders' />
<exclude-sheet name='Total Profit' />
<exclude-sheet name='Total Sales' />
</source>
<command command='tsc:tsl-filter'>
<param name='exclude' value='Sheet 2,Sheet 4,Sheet 5' />
<param name='special-fields' value='all' />
<param name='target' value='Dashboard 1' />
</command>
</action>
<action caption='Filter2 1' name='[Action4_824F42258F164304B4AD34ABC9C9C0ED]'>
<source dashboard='Dashboard 1' type='sheet' />
<link caption='Filter2 1' delimiter=',' escape='\' expression='tsl:Dashboard%201?%5Bfederated.1r44ed51hk3vjb16rfmhq11tzid0%5D.%5Bmn%3AOrder%20Date%3Aok%5D~s0=<[federated.1r44ed51hk3vjb16rfmhq11tzid0].[mn:Order Date:ok]~na>' include-null='true' multi-select='true' url-escape='true' />
<command command='tsc:tsl-filter'>
<param name='target' value='Dashboard 1' />
</command>
</action>
<datasources>
<datasource caption='train' name='federated.1r44ed51hk3vjb16rfmhq11tzid0' />
</datasources>
<datasource-dependencies datasource='federated.1r44ed51hk3vjb16rfmhq11tzid0'>
<column datatype='date' name='[Order Date]' role='dimension' type='ordinal' />
<column-instance column='[Order Date]' derivation='Month' name='[mn:Order Date:ok]' pivot='key' type='ordinal' />
</datasource-dependencies>
</actions>
<worksheets>
<worksheet name='Profit Margin'>
<table>
<view>
<datasources>
<datasource caption='train' name='federated.1r44ed51hk3vjb16rfmhq11tzid0' />
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<datasource-dependencies datasource='federated.1r44ed51hk3vjb16rfmhq11tzid0'>
<column caption='Profit Margin' datatype='real' datatype-customized='true' name='[Calculation_1315332606062120962]' role='measure' type='quantitative'>
<calculation class='tableau' formula='[Calculation_1315332606066421764] / [Sales]' />
</column>
<column caption='Profit' datatype='real' name='[Calculation_1315332606066421764]' role='measure' type='quantitative'>
<calculation class='tableau' formula='[Sales] * 0.2' />
</column>
<column datatype='string' name='[Category]' role='dimension' type='nominal' />
<column caption='Monthname' datatype='string' name='[MONTHNAME]' role='dimension' type='nominal' />
<column datatype='string' name='[Name]' role='dimension' type='nominal' />
<column datatype='real' name='[Sales]' role='measure' type='quantitative' />
<column datatype='string' name='[Sub-Category]' role='dimension' type='nominal' />
<column caption='Year' datatype='integer' name='[YEAR]' role='dimension' type='quantitative' />
<column-instance column='[MONTHNAME]' derivation='None' name='[none:MONTHNAME:nk]' pivot='key' type='nominal' />
<column-instance column='[Name]' derivation='None' name='[none:Name:nk]' pivot='key' type='nominal' />
<column-instance column='[YEAR]' derivation='None' name='[none:YEAR:ok]' pivot='key' type='ordinal' />
<column-instance aggregation-param='5' column='[Calculation_1315332606062120962]' derivation='Percentile' name='[prc5:Calculation_1315332606062120962:qk]' pivot='key' type='quantitative' />
</datasource-dependencies>
<filter class='categorical' column='[federated.1r44ed51hk3vjb16rfmhq11tzid0].[Action (Category,Sub-Category)]'>
<groupfilter function='crossjoin' user:ui-action-filter='[Action1_C9288F4A960A43EFB08B93FF0765AAF9]' user:ui-enumeration='all' user:ui-marker='enumerate'>
<groupfilter function='level-members' level='[Category]' />
<groupfilter function='level-members' level='[Sub-Category]' />
</groupfilter>
</filter>
<filter class='categorical' column='[federated.1r44ed51hk3vjb16rfmhq11tzid0].[Action (Category,Year)]'>
<groupfilter function='crossjoin' user:ui-action-filter='[Action1_C9288F4A960A43EFB08B93FF0765AAF9]' user:ui-enumeration='all' user:ui-marker='enumerate'>
<groupfilter function='level-members' level='[Category]' />
<groupfilter function='level-members' level='[none:YEAR:ok]' />
</groupfilter>
</filter>
<slices>
<column>[federated.1r44ed51hk3vjb16rfmhq11tzid0].[Action (Category,Year)]</column>
<column>[federated.1r44ed51hk3vjb16rfmhq11tzid0].[Action (Category,Sub-Category)]</column>
<column>[federated.1r44ed51hk3vjb16rfmhq11tzid0].[none:MONTHNAME:nk]</column>
<column>[federated.1r44ed51hk3vjb16rfmhq11tzid0].[none:Name:nk]</column>
</slices>
<aggregation value='true' />
</view>
<style>
<style-rule element='cell'>
<format attr='text-format' field='[federated.1r44ed51hk3vjb16rfmhq11tzid0].[prc5:Calculation_1315332606062120962:qk]' value='p0.00%' />
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<style-rule element='table'>
<format attr='omit-on-special' field='[federated.1r44ed51hk3vjb16rfmhq11tzid0].[prc5:Calculation_1315332606062120962:qk]' value='true' />
<format attr='break-on-special' field='[federated.1r44ed51hk3vjb16rfmhq11tzid0].[prc5:Calculation_1315332606062120962:qk]' value='true' />
<format attr='show-null-value-warning' field='[federated.1r44ed51hk3vjb16rfmhq11tzid0].[prc5:Calculation_1315332606062120962:qk]' value='true' />
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</style>
<panes>
<pane selection-relaxation-option='selection-relaxation-allow'>
<view>
<breakdown value='auto' />
</view>
<mark class='Automatic' />
<encodings>
<text column='[federated.1r44ed51hk3vjb16rfmhq11tzid0].[prc5:Calculation_1315332606062120962:qk]' />
</encodings>
<customized-label>
<formatted-text>
<run bold='true' fontalignment='2' fontsize='18'>Profit Margin </run>
<run fontalignment='2'>Æ </run>
<run bold='true' fontalignment='2' fontsize='20'><![CDATA[<[federated.1r44ed51hk3vjb16rfmhq11tzid0].[prc5:Calculation_1315332606062120962:qk]>]]></run>
</formatted-text>
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<style-rule element='cell'>
<format attr='text-align' value='right' />
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<rows />
<cols />
</table>
<simple-id uuid='{60163B10-3B4D-4BA0-9FFF-D215CCB79013}' />
</worksheet>
<worksheet name='Sheet 1'>
<layout-options>
<title>
<formatted-text>
<run bold='true'>Sales Over Time</run>
</formatted-text>
</title>
</layout-options>
<table>
<view>
<datasources>
<datasource caption='train' name='federated.1r44ed51hk3vjb16rfmhq11tzid0' />
</datasources>
<datasource-dependencies datasource='federated.1r44ed51hk3vjb16rfmhq11tzid0'>
<column datatype='string' name='[Category]' role='dimension' type='nominal' />
<column caption='Monthname' datatype='string' name='[MONTHNAME]' role='dimension' type='nominal' />
<column datatype='string' name='[Name]' role='dimension' type='nominal' />
<column datatype='real' name='[Sales]' role='measure' type='quantitative' />
<column datatype='string' name='[Sub-Category]' role='dimension' type='nominal' />
<column caption='Year' datatype='integer' name='[YEAR]' role='dimension' type='quantitative' />
<column-instance column='[Category]' derivation='None' name='[none:Category:nk]' pivot='key' type='nominal' />
<column-instance column='[MONTHNAME]' derivation='None' name='[none:MONTHNAME:nk]' pivot='key' type='nominal' />
<column-instance column='[Name]' derivation='None' name='[none:Name:nk]' pivot='key' type='nominal' />
<column-instance column='[YEAR]' derivation='None' name='[none:YEAR:qk]' pivot='key' type='quantitative' />
<column-instance column='[Sales]' derivation='Sum' name='[sum:Sales:qk]' pivot='key' type='quantitative' />
</datasource-dependencies>
<filter class='categorical' column='[federated.1r44ed51hk3vjb16rfmhq11tzid0].[Action (Category,Sub-Category)]'>
<groupfilter function='crossjoin' user:ui-action-filter='[Action1_C9288F4A960A43EFB08B93FF0765AAF9]' user:ui-enumeration='all' user:ui-marker='enumerate'>
<groupfilter function='level-members' level='[Category]' />
<groupfilter function='level-members' level='[Sub-Category]' />
</groupfilter>
</filter>
<slices>
<column>[federated.1r44ed51hk3vjb16rfmhq11tzid0].[none:MONTHNAME:nk]</column>
<column>[federated.1r44ed51hk3vjb16rfmhq11tzid0].[Action (Category,Sub-Category)]</column>
<column>[federated.1r44ed51hk3vjb16rfmhq11tzid0].[none:Name:nk]</column>
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<aggregation value='true' />
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<style>
<style-rule element='cell'>
<format attr='border-width' value='0' />
<format attr='border-style' value='none' />
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<panes>
<pane selection-relaxation-option='selection-relaxation-allow'>
<view>
<breakdown value='auto' />
</view>
<mark class='Automatic' />
<encodings>
<color column='[federated.1r44ed51hk3vjb16rfmhq11tzid0].[none:Category:nk]' />
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<style>
<style-rule element='mark'>
<format attr='mark-labels-show' value='true' />
<format attr='mark-labels-cull' value='true' />
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<rows>[federated.1r44ed51hk3vjb16rfmhq11tzid0].[sum:Sales:qk]</rows>
<cols>[federated.1r44ed51hk3vjb16rfmhq11tzid0].[none:YEAR:qk]</cols>
</table>
<simple-id uuid='{F589FE6C-7FE7-47CF-BBD4-E3414D97E275}' />
</worksheet>
<worksheet name='Sheet 11'>