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airbnb_nyc_2023.twb
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airbnb_nyc_2023.twb
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<?xml version='1.0' encoding='utf-8' ?>
<!-- build 20232.23.0611.2007 -->
<workbook original-version='18.1' source-build='2023.2.0 (20232.23.0611.2007)' source-platform='win' version='18.1' xml:base='https://public.tableau.com' xmlns:user='http://www.tableausoftware.com/xml/user'>
<document-format-change-manifest>
<_.fcp.AccessibleZoneTabOrder.true...AccessibleZoneTabOrder />
<_.fcp.AnimationOnByDefault.true...AnimationOnByDefault />
<AutoCreateAndUpdateDSDPhoneLayouts />
<Heatmap />
<IntuitiveSorting />
<IntuitiveSorting_SP2 />
<MapboxVectorStylesAndLayers />
<_.fcp.MarkAnimation.true...MarkAnimation />
<_.fcp.ObjectModelEncapsulateLegacy.true...ObjectModelEncapsulateLegacy />
<_.fcp.ObjectModelExtractV2.true...ObjectModelExtractV2 />
<_.fcp.ObjectModelTableType.true...ObjectModelTableType />
<_.fcp.PatternedLineMarks.true...PatternedLineMarks />
<_.fcp.SchemaViewerObjectModel.true...SchemaViewerObjectModel />
<SetMembershipControl />
<SheetIdentifierTracking />
<SortTagCleanup />
<_.fcp.VConnDownstreamExtractsWithWarnings.true...VConnDownstreamExtractsWithWarnings />
<WindowsPersistSimpleIdentifiers />
<WorksheetBackgroundTransparency />
<ZoneBackgroundTransparency />
</document-format-change-manifest>
<repository-location id='airbnb_nyc_2023' path='/workbooks' revision='1.1' />
<preferences>
<preference name='ui.encoding.shelf.height' value='24' />
<preference name='ui.shelf.height' value='26' />
</preferences>
<_.fcp.AnimationOnByDefault.false...style>
<_.fcp.AnimationOnByDefault.false..._.fcp.MarkAnimation.true...style-rule element='animation'>
<_.fcp.AnimationOnByDefault.false...format attr='animation-on' value='ao-on' />
</_.fcp.AnimationOnByDefault.false..._.fcp.MarkAnimation.true...style-rule>
</_.fcp.AnimationOnByDefault.false...style>
<datasources>
<datasource caption='2023_listing_nyc' inline='true' name='federated.0lgd4al147y2bc1923cvh0b6dt89' version='18.1'>
<connection class='federated'>
<named-connections>
<named-connection caption='2023_listing_nyc' name='textscan.00b7ch51mbcxxd12m65r41c8lbg5'>
<connection class='textscan' directory='D:/Projects/Uploads/Airbnb_nyc' filename='2023_listing_nyc.csv' password='' server='' workgroup-auth-mode='as-is' />
</named-connection>
</named-connections>
<_.fcp.ObjectModelEncapsulateLegacy.false...relation connection='textscan.00b7ch51mbcxxd12m65r41c8lbg5' name='2023_listing_nyc.csv' table='[2023_listing_nyc#csv]' type='table'>
<columns character-set='UTF-8' header='yes' locale='en_CA' separator=','>
<column datatype='integer' name='id' ordinal='0' />
<column datatype='string' name='name' ordinal='1' />
<column datatype='integer' name='host_id' ordinal='2' />
<column datatype='string' name='host_name' ordinal='3' />
<column datatype='string' name='neighbourhood_group' ordinal='4' />
<column datatype='string' name='neighbourhood' ordinal='5' />
<column datatype='real' name='latitude' ordinal='6' />
<column datatype='real' name='longitude' ordinal='7' />
<column datatype='string' name='room_type' ordinal='8' />
<column datatype='integer' name='price' ordinal='9' />
<column datatype='integer' name='minimum_nights' ordinal='10' />
<column datatype='integer' name='number_of_reviews' ordinal='11' />
<column datatype='date' name='last_review' ordinal='12' />
<column datatype='real' name='reviews_per_month' ordinal='13' />
<column datatype='integer' name='calculated_host_listings_count' ordinal='14' />
<column datatype='integer' name='availability_365' ordinal='15' />
<column datatype='integer' name='number_of_reviews_ltm' ordinal='16' />
<column datatype='string' name='license' ordinal='17' />
</columns>
</_.fcp.ObjectModelEncapsulateLegacy.false...relation>
<_.fcp.ObjectModelEncapsulateLegacy.true...relation connection='textscan.00b7ch51mbcxxd12m65r41c8lbg5' name='2023_listing_nyc.csv' table='[2023_listing_nyc#csv]' type='table'>
<columns character-set='UTF-8' header='yes' locale='en_CA' separator=','>
<column datatype='integer' name='id' ordinal='0' />
<column datatype='string' name='name' ordinal='1' />
<column datatype='integer' name='host_id' ordinal='2' />
<column datatype='string' name='host_name' ordinal='3' />
<column datatype='string' name='neighbourhood_group' ordinal='4' />
<column datatype='string' name='neighbourhood' ordinal='5' />
<column datatype='real' name='latitude' ordinal='6' />
<column datatype='real' name='longitude' ordinal='7' />
<column datatype='string' name='room_type' ordinal='8' />
<column datatype='integer' name='price' ordinal='9' />
<column datatype='integer' name='minimum_nights' ordinal='10' />
<column datatype='integer' name='number_of_reviews' ordinal='11' />
<column datatype='date' name='last_review' ordinal='12' />
<column datatype='real' name='reviews_per_month' ordinal='13' />
<column datatype='integer' name='calculated_host_listings_count' ordinal='14' />
<column datatype='integer' name='availability_365' ordinal='15' />
<column datatype='integer' name='number_of_reviews_ltm' ordinal='16' />
<column datatype='string' name='license' ordinal='17' />
</columns>
</_.fcp.ObjectModelEncapsulateLegacy.true...relation>
<refresh increment-key='' incremental-updates='false' />
<metadata-records>
<metadata-record class='capability'>
<remote-name />
<remote-type>0</remote-type>
<parent-name>[2023_listing_nyc.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_GB"</attribute>
<attribute datatype='string' name='field-delimiter'>","</attribute>
<attribute datatype='string' name='header-row'>"true"</attribute>
<attribute datatype='string' name='locale'>"en_CA"</attribute>
<attribute datatype='string' name='single-char'>""</attribute>
</attributes>
</metadata-record>
<metadata-record class='column'>
<remote-name>id</remote-name>
<remote-type>20</remote-type>
<local-name>[id]</local-name>
<parent-name>[2023_listing_nyc.csv]</parent-name>
<remote-alias>id</remote-alias>
<ordinal>0</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[2023_listing_nyc.csv_9C56154D1CBB4ECF91B3EF236E387D82]</_.fcp.ObjectModelEncapsulateLegacy.true...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>[2023_listing_nyc.csv]</parent-name>
<remote-alias>name</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' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[2023_listing_nyc.csv_9C56154D1CBB4ECF91B3EF236E387D82]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>host_id</remote-name>
<remote-type>20</remote-type>
<local-name>[host_id]</local-name>
<parent-name>[2023_listing_nyc.csv]</parent-name>
<remote-alias>host_id</remote-alias>
<ordinal>2</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[2023_listing_nyc.csv_9C56154D1CBB4ECF91B3EF236E387D82]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>host_name</remote-name>
<remote-type>129</remote-type>
<local-name>[host_name]</local-name>
<parent-name>[2023_listing_nyc.csv]</parent-name>
<remote-alias>host_name</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='LEN_RGB' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[2023_listing_nyc.csv_9C56154D1CBB4ECF91B3EF236E387D82]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>neighbourhood_group</remote-name>
<remote-type>129</remote-type>
<local-name>[neighbourhood_group]</local-name>
<parent-name>[2023_listing_nyc.csv]</parent-name>
<remote-alias>neighbourhood_group</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' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[2023_listing_nyc.csv_9C56154D1CBB4ECF91B3EF236E387D82]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>neighbourhood</remote-name>
<remote-type>129</remote-type>
<local-name>[neighbourhood]</local-name>
<parent-name>[2023_listing_nyc.csv]</parent-name>
<remote-alias>neighbourhood</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' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[2023_listing_nyc.csv_9C56154D1CBB4ECF91B3EF236E387D82]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>latitude</remote-name>
<remote-type>5</remote-type>
<local-name>[latitude]</local-name>
<parent-name>[2023_listing_nyc.csv]</parent-name>
<remote-alias>latitude</remote-alias>
<ordinal>6</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[2023_listing_nyc.csv_9C56154D1CBB4ECF91B3EF236E387D82]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>longitude</remote-name>
<remote-type>5</remote-type>
<local-name>[longitude]</local-name>
<parent-name>[2023_listing_nyc.csv]</parent-name>
<remote-alias>longitude</remote-alias>
<ordinal>7</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[2023_listing_nyc.csv_9C56154D1CBB4ECF91B3EF236E387D82]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>room_type</remote-name>
<remote-type>129</remote-type>
<local-name>[room_type]</local-name>
<parent-name>[2023_listing_nyc.csv]</parent-name>
<remote-alias>room_type</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' />
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[2023_listing_nyc.csv_9C56154D1CBB4ECF91B3EF236E387D82]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>price</remote-name>
<remote-type>20</remote-type>
<local-name>[price]</local-name>
<parent-name>[2023_listing_nyc.csv]</parent-name>
<remote-alias>price</remote-alias>
<ordinal>9</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[2023_listing_nyc.csv_9C56154D1CBB4ECF91B3EF236E387D82]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>minimum_nights</remote-name>
<remote-type>20</remote-type>
<local-name>[minimum_nights]</local-name>
<parent-name>[2023_listing_nyc.csv]</parent-name>
<remote-alias>minimum_nights</remote-alias>
<ordinal>10</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[2023_listing_nyc.csv_9C56154D1CBB4ECF91B3EF236E387D82]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>number_of_reviews</remote-name>
<remote-type>20</remote-type>
<local-name>[number_of_reviews]</local-name>
<parent-name>[2023_listing_nyc.csv]</parent-name>
<remote-alias>number_of_reviews</remote-alias>
<ordinal>11</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[2023_listing_nyc.csv_9C56154D1CBB4ECF91B3EF236E387D82]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
</metadata-record>
<metadata-record class='column'>
<remote-name>last_review</remote-name>
<remote-type>133</remote-type>
<local-name>[last_review]</local-name>
<parent-name>[2023_listing_nyc.csv]</parent-name>
<remote-alias>last_review</remote-alias>
<ordinal>12</ordinal>
<local-type>date</local-type>
<aggregation>Year</aggregation>
<contains-null>true</contains-null>
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<metadata-record class='column'>
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<metadata-record class='column'>
<remote-name>calculated_host_listings_count</remote-name>
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<metadata-record class='column'>
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<metadata-record class='column'>
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<column caption='Total Hosts' datatype='string' name='[Calculation_1620451493028757504]' role='dimension' type='nominal'>
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<column caption='Total neighborhoods in NYC' datatype='string' name='[Calculation_1620451493028909057]' role='dimension' type='nominal'>
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<column caption='Average Reviews per Month' datatype='string' name='[Calculation_1620451493029167106]' role='dimension' type='nominal'>
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<column caption='Total Reviews' datatype='string' name='[Calculation_1620451493029335043]' role='dimension' type='nominal'>
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<column aggregation='Avg' caption='Latitude' datatype='real' name='[latitude]' role='measure' semantic-role='[Geographical].[Latitude]' type='quantitative' />
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<column caption='Number Of Reviews Ltm' datatype='integer' name='[number_of_reviews_ltm]' role='measure' type='quantitative' />
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<column caption='Room Type' datatype='string' name='[room_type]' role='dimension' type='nominal' />
<column-instance column='[last_review]' derivation='None' name='[none:last_review:qk]' pivot='key' type='quantitative' />
<column-instance column='[neighbourhood_group]' derivation='None' name='[none:neighbourhood_group:nk]' pivot='key' type='nominal' />
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<_.fcp.ObjectModelEncapsulateLegacy.false...relation name='Extract' table='[Extract].[Extract]' type='table' />
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<refresh-event add-from-file-path='2023_listing_nyc' increment-value='%null%' refresh-type='create' rows-inserted='33070' timestamp-start='2023-07-27 09:17:59.747' />
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<metadata-record class='column'>
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<_.fcp.ObjectModelEncapsulateLegacy.true...object-id>[2023_listing_nyc.csv_9C56154D1CBB4ECF91B3EF236E387D82]</_.fcp.ObjectModelEncapsulateLegacy.true...object-id>
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<metadata-record class='column'>
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<filter class='quantitative' column='[minimum_nights]' included-values='in-range'>
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<max>1250</max>
</filter>
<filter class='categorical' column='[name]'>
<groupfilter function='except' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate'>
<groupfilter function='level-members' level='[name]' />
<groupfilter function='member' level='[name]' member='%null%' />
</groupfilter>
</filter>
<filter class='categorical' column='[neighbourhood]'>
<groupfilter function='except' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate'>
<groupfilter function='level-members' level='[neighbourhood]' />
<groupfilter function='member' level='[neighbourhood]' member='%null%' />
</groupfilter>
</filter>
<filter class='categorical' column='[neighbourhood_group]'>
<groupfilter function='except' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate'>
<groupfilter function='level-members' level='[neighbourhood_group]' />
<groupfilter function='member' level='[neighbourhood_group]' member='%null%' />
</groupfilter>
</filter>
<filter class='quantitative' column='[none:last_review:qk]' included-values='in-range'>
<min>#2011-05-12#</min>
<max>#2023-06-05#</max>
</filter>
<filter class='quantitative' column='[number_of_reviews]' included-values='in-range'>
<min>0</min>
<max>2024</max>
</filter>
<filter class='quantitative' column='[price]' included-values='in-range'>
<min>0</min>
<max>90120</max>
</filter>
<filter class='quantitative' column='[reviews_per_month]' included-values='in-range'>
<min>0.01</min>
<max>63.950000000000003</max>
</filter>
<filter class='categorical' column='[room_type]'>
<groupfilter function='except' user:ui-domain='database' user:ui-enumeration='inclusive' user:ui-marker='enumerate'>
<groupfilter function='level-members' level='[room_type]' />
<groupfilter function='member' level='[room_type]' member='%null%' />
</groupfilter>
</filter>
</extract>
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<style>
<style-rule element='mark'>
<encoding attr='color' field='[none:neighbourhood_group:nk]' palette='sf_default' type='palette'>
<map to='#4fd2d2'>
<bucket>"Staten Island"</bucket>
</map>
<map to='#52b7d8'>
<bucket>"Bronx"</bucket>
</map>
<map to='#54a77b'>
<bucket>"Queens"</bucket>
</map>
<map to='#e16032'>
<bucket>"Brooklyn"</bucket>
</map>
<map to='#ffb03b'>
<bucket>"Manhattan"</bucket>
</map>
</encoding>
</style-rule>
</style>
<semantic-values>
<semantic-value key='[Country].[Name]' value='"Canada"' />
</semantic-values>
<_.fcp.ObjectModelEncapsulateLegacy.true...object-graph>
<objects>
<object caption='2023_listing_nyc.csv' id='2023_listing_nyc.csv_9C56154D1CBB4ECF91B3EF236E387D82'>
<properties context=''>
<relation connection='textscan.00b7ch51mbcxxd12m65r41c8lbg5' name='2023_listing_nyc.csv' table='[2023_listing_nyc#csv]' type='table'>
<columns character-set='UTF-8' header='yes' locale='en_CA' separator=','>
<column datatype='integer' name='id' ordinal='0' />
<column datatype='string' name='name' ordinal='1' />
<column datatype='integer' name='host_id' ordinal='2' />
<column datatype='string' name='host_name' ordinal='3' />
<column datatype='string' name='neighbourhood_group' ordinal='4' />
<column datatype='string' name='neighbourhood' ordinal='5' />
<column datatype='real' name='latitude' ordinal='6' />
<column datatype='real' name='longitude' ordinal='7' />
<column datatype='string' name='room_type' ordinal='8' />
<column datatype='integer' name='price' ordinal='9' />
<column datatype='integer' name='minimum_nights' ordinal='10' />
<column datatype='integer' name='number_of_reviews' ordinal='11' />
<column datatype='date' name='last_review' ordinal='12' />
<column datatype='real' name='reviews_per_month' ordinal='13' />
<column datatype='integer' name='calculated_host_listings_count' ordinal='14' />
<column datatype='integer' name='availability_365' ordinal='15' />
<column datatype='integer' name='number_of_reviews_ltm' ordinal='16' />
<column datatype='string' name='license' ordinal='17' />
</columns>
</relation>
</properties>
<properties context='extract'>
<relation name='Extract' table='[Extract].[Extract]' type='table' />
</properties>
</object>
</objects>
</_.fcp.ObjectModelEncapsulateLegacy.true...object-graph>
</datasource>
</datasources>
<mapsources>
<mapsource name='Tableau' />
</mapsources>
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<worksheet name='Sheet 10'>
<table>
<view>
<datasources>
<datasource caption='2023_listing_nyc' name='federated.0lgd4al147y2bc1923cvh0b6dt89' />
</datasources>
<datasource-dependencies datasource='federated.0lgd4al147y2bc1923cvh0b6dt89'>
<column caption='Average Reviews per Month' datatype='string' name='[Calculation_1620451493029167106]' role='dimension' type='nominal'>
<calculation class='tableau' formula='"Average Reviews per Month"' />
</column>
<column-instance column='[number_of_reviews]' derivation='Avg' name='[avg:number_of_reviews:qk]' pivot='key' type='quantitative' />
<column-instance column='[Calculation_1620451493029167106]' derivation='None' name='[none:Calculation_1620451493029167106:nk]' pivot='key' type='nominal' />
<column caption='Number Of Reviews' datatype='integer' name='[number_of_reviews]' role='measure' type='quantitative' />
</datasource-dependencies>
<aggregation value='true' />
</view>
<style>
<style-rule element='cell'>
<format attr='width' value='257' />
<format attr='text-align' value='center' />
<format attr='color' value='#ffffff' />
<format attr='font-weight' value='bold' />
<format attr='font-size' value='11' />
<format attr='font-family' value='Roboto Slab SemiBold' />
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<style-rule element='table'>
<format attr='background-color' value='#152c51' />
</style-rule>
</style>
<panes>
<pane selection-relaxation-option='selection-relaxation-allow'>
<view>
<breakdown value='auto' />
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<mark class='Automatic' />
<encodings>
<text column='[federated.0lgd4al147y2bc1923cvh0b6dt89].[none:Calculation_1620451493029167106:nk]' />
<text column='[federated.0lgd4al147y2bc1923cvh0b6dt89].[avg:number_of_reviews:qk]' />
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<style>
<style-rule element='mark'>
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<cols />
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<simple-id uuid='{5A2F1D0C-033F-4678-BA9D-65698F8DB083}' />
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<worksheet name='Sheet 11'>
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<view>
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<datasource caption='2023_listing_nyc' name='federated.0lgd4al147y2bc1923cvh0b6dt89' />
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<datasource-dependencies datasource='federated.0lgd4al147y2bc1923cvh0b6dt89'>
<column caption='Total Reviews' datatype='string' name='[Calculation_1620451493029335043]' role='dimension' type='nominal'>
<calculation class='tableau' formula='"Total Reviews"' />
</column>
<column-instance column='[Calculation_1620451493029335043]' derivation='None' name='[none:Calculation_1620451493029335043:nk]' pivot='key' type='nominal' />
<column caption='Number Of Reviews' datatype='integer' name='[number_of_reviews]' role='measure' type='quantitative' />
<column-instance column='[number_of_reviews]' derivation='Sum' name='[sum:number_of_reviews:qk]' pivot='key' type='quantitative' />
</datasource-dependencies>
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<style-rule element='cell'>
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<panes>
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<text column='[federated.0lgd4al147y2bc1923cvh0b6dt89].[none:Calculation_1620451493029335043:nk]' />
<text column='[federated.0lgd4al147y2bc1923cvh0b6dt89].[sum:number_of_reviews:qk]' />
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<style>
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<cols />
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<simple-id uuid='{770B240A-28D7-4116-868B-4AFA76E05DC7}' />
</worksheet>
<worksheet name='Sheet 2'>
<layout-options>
<title>
<formatted-text>
<run bold='true' fontalignment='1' fontcolor='#f5f5f5' fontname='Roboto Slab ExtraBold' fontsize='14'>Total Booking by Month and Neighborhood</run>
</formatted-text>
</title>
</layout-options>
<table>
<view>
<datasources>
<datasource caption='2023_listing_nyc' name='federated.0lgd4al147y2bc1923cvh0b6dt89' />
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<column-instance column='[name]' derivation='Count' name='[cnt:name:qk]' pivot='key' type='quantitative' />
<column caption='Last Review' datatype='date' name='[last_review]' role='dimension' type='ordinal' />
<column-instance column='[last_review]' derivation='Month' name='[mn:last_review:ok]' pivot='key' type='ordinal' />
<column caption='Name' datatype='string' name='[name]' role='dimension' type='nominal' />
<column caption='Neighbourhood Group' datatype='string' name='[neighbourhood_group]' role='dimension' type='nominal' />
<column-instance column='[neighbourhood_group]' derivation='None' name='[none:neighbourhood_group:nk]' pivot='key' type='nominal' />
<column-instance column='[room_type]' derivation='None' name='[none:room_type:nk]' pivot='key' type='nominal' />
<column caption='Room Type' datatype='string' name='[room_type]' role='dimension' type='nominal' />
</datasource-dependencies>
<filter class='categorical' column='[federated.0lgd4al147y2bc1923cvh0b6dt89].[mn:last_review:ok]'>
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<groupfilter function='level-members' level='[mn:last_review:ok]' />
<groupfilter function='member' level='[mn:last_review:ok]' member='%null%' />
</groupfilter>
</filter>
<manual-sort column='[federated.0lgd4al147y2bc1923cvh0b6dt89].[none:neighbourhood_group:nk]' direction='ASC'>
<dictionary>
<bucket>"Bronx"</bucket>
<bucket>"Brooklyn"</bucket>
<bucket>"Manhattan"</bucket>
<bucket>"Queens"</bucket>
<bucket>"Staten Island"</bucket>
</dictionary>
</manual-sort>
<filter class='categorical' column='[federated.0lgd4al147y2bc1923cvh0b6dt89].[none:room_type:nk]'>
<groupfilter function='level-members' level='[none:room_type:nk]' user:ui-enumeration='all' user:ui-marker='enumerate' />
</filter>
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<column>[federated.0lgd4al147y2bc1923cvh0b6dt89].[none:room_type:nk]</column>
<column>[federated.0lgd4al147y2bc1923cvh0b6dt89].[mn:last_review:ok]</column>
</slices>
<aggregation value='true' />
</view>
<style>
<style-rule element='axis'>
<encoding attr='space' class='1' field='[federated.0lgd4al147y2bc1923cvh0b6dt89].[cnt:name:qk]' field-type='quantitative' fold='true' scope='rows' type='space' />
<format attr='display' class='1' field='[federated.0lgd4al147y2bc1923cvh0b6dt89].[cnt:name:qk]' scope='rows' value='false' />
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