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TABLEAU.twb
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TABLEAU.twb
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<?xml version='1.0' encoding='utf-8' ?>
<!-- build 20181.19.0515.1506 -->
<workbook source-build='2018.1.13 (20181.19.0515.1506)' source-platform='mac' version='18.1' xmlns:user='http://www.tableausoftware.com/xml/user'>
<document-format-change-manifest>
<SortTagCleanup />
</document-format-change-manifest>
<preferences>
<preference name='ui.encoding.shelf.height' value='24' />
<preference name='ui.shelf.height' value='26' />
</preferences>
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<connection class='federated'>
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<named-connection caption='crimedata' name='textscan.1gnukrz0xgmmkp194m7vo0fgo3e9'>
<connection class='textscan' directory='/Users/Raghav/Desktop/RxM/MSc DA/Semester 2/DV (H9DV)/DV Project/Data' filename='crimedata.csv' password='' server='' />
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<column datatype='integer' name='CrimeYear' ordinal='1' />
<column datatype='string' name='CrimeMonth' ordinal='2' />
<column datatype='datetime' name='DateOccur' ordinal='3' />
<column datatype='integer' name='Count' ordinal='4' />
<column datatype='integer' name='Crime' ordinal='5' />
<column datatype='integer' name='UCRCode' ordinal='6' />
<column datatype='integer' name='UCRType' ordinal='7' />
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<column datatype='integer' name='District' ordinal='9' />
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<column datatype='string' name='ILEADSStreet' ordinal='12' />
<column datatype='integer' name='Neighbourhood Number' ordinal='13' />
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<column datatype='string' name='CADAddress' ordinal='20' />
<column datatype='string' name='CADStreet' ordinal='21' />
<column datatype='real' name='lat' ordinal='22' />
<column datatype='real' name='lon' ordinal='23' />
</columns>
</relation>
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<parent-name>[crimedata.csv]</parent-name>
<remote-alias />
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<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='currency'>"€"</attribute>
<attribute datatype='string' name='debit-close-char'>""</attribute>
<attribute datatype='string' name='debit-open-char'>""</attribute>
<attribute datatype='string' name='field-delimiter'>","</attribute>
<attribute datatype='string' name='header-row'>"true"</attribute>
<attribute datatype='string' name='locale'>"en_IE"</attribute>
<attribute datatype='string' name='single-char'>""</attribute>
</attributes>
</metadata-record>
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<remote-name>Complaint</remote-name>
<remote-type>129</remote-type>
<local-name>[Complaint]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>Complaint</remote-alias>
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<contains-null>true</contains-null>
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</metadata-record>
<metadata-record class='column'>
<remote-name>CrimeYear</remote-name>
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<local-name>[CrimeYear]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>CrimeYear</remote-alias>
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<local-type>integer</local-type>
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<contains-null>true</contains-null>
</metadata-record>
<metadata-record class='column'>
<remote-name>CrimeMonth</remote-name>
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<local-name>[CrimeMonth]</local-name>
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<remote-alias>CrimeMonth</remote-alias>
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</metadata-record>
<metadata-record class='column'>
<remote-name>DateOccur</remote-name>
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<local-name>[DateOccur]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>DateOccur</remote-alias>
<ordinal>3</ordinal>
<local-type>datetime</local-type>
<aggregation>Year</aggregation>
<contains-null>true</contains-null>
</metadata-record>
<metadata-record class='column'>
<remote-name>Count</remote-name>
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<local-name>[Count]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>Count</remote-alias>
<ordinal>4</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
</metadata-record>
<metadata-record class='column'>
<remote-name>Crime</remote-name>
<remote-type>20</remote-type>
<local-name>[Crime]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>Crime</remote-alias>
<ordinal>5</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
</metadata-record>
<metadata-record class='column'>
<remote-name>UCRCode</remote-name>
<remote-type>20</remote-type>
<local-name>[UCRCode]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>UCRCode</remote-alias>
<ordinal>6</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
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</metadata-record>
<metadata-record class='column'>
<remote-name>UCRType</remote-name>
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<local-name>[UCRType]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>UCRType</remote-alias>
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<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
</metadata-record>
<metadata-record class='column'>
<remote-name>UCRCrime</remote-name>
<remote-type>129</remote-type>
<local-name>[UCRCrime]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>UCRCrime</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' />
</metadata-record>
<metadata-record class='column'>
<remote-name>District</remote-name>
<remote-type>20</remote-type>
<local-name>[District]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>District</remote-alias>
<ordinal>9</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
</metadata-record>
<metadata-record class='column'>
<remote-name>Description</remote-name>
<remote-type>129</remote-type>
<local-name>[Description]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>Description</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='LEN_RGB' />
</metadata-record>
<metadata-record class='column'>
<remote-name>ILEADSAddress</remote-name>
<remote-type>20</remote-type>
<local-name>[ILEADSAddress]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>ILEADSAddress</remote-alias>
<ordinal>11</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
</metadata-record>
<metadata-record class='column'>
<remote-name>ILEADSStreet</remote-name>
<remote-type>129</remote-type>
<local-name>[ILEADSStreet]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>ILEADSStreet</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' />
</metadata-record>
<metadata-record class='column'>
<remote-name>Neighbourhood Number</remote-name>
<remote-type>20</remote-type>
<local-name>[Neighbourhood Number]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>Neighbourhood Number</remote-alias>
<ordinal>13</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
</metadata-record>
<metadata-record class='column'>
<remote-name>Neighborhood Name</remote-name>
<remote-type>129</remote-type>
<local-name>[Neighborhood Name]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>Neighborhood Name</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' />
</metadata-record>
<metadata-record class='column'>
<remote-name>Neighborhood Primary District</remote-name>
<remote-type>20</remote-type>
<local-name>[Neighborhood Primary District]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>Neighborhood Primary District</remote-alias>
<ordinal>15</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
</metadata-record>
<metadata-record class='column'>
<remote-name>Population</remote-name>
<remote-type>20</remote-type>
<local-name>[Population]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>Population</remote-alias>
<ordinal>16</ordinal>
<local-type>integer</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
</metadata-record>
<metadata-record class='column'>
<remote-name>CrimePerCapita</remote-name>
<remote-type>5</remote-type>
<local-name>[CrimePerCapita]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>CrimePerCapita</remote-alias>
<ordinal>17</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
</metadata-record>
<metadata-record class='column'>
<remote-name>LocationName</remote-name>
<remote-type>129</remote-type>
<local-name>[LocationName]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>LocationName</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' />
</metadata-record>
<metadata-record class='column'>
<remote-name>LocationComment</remote-name>
<remote-type>129</remote-type>
<local-name>[LocationComment]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>LocationComment</remote-alias>
<ordinal>19</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<scale>1</scale>
<width>1073741823</width>
<contains-null>true</contains-null>
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</metadata-record>
<metadata-record class='column'>
<remote-name>CADAddress</remote-name>
<remote-type>129</remote-type>
<local-name>[CADAddress]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>CADAddress</remote-alias>
<ordinal>20</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<scale>1</scale>
<width>1073741823</width>
<contains-null>true</contains-null>
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</metadata-record>
<metadata-record class='column'>
<remote-name>CADStreet</remote-name>
<remote-type>129</remote-type>
<local-name>[CADStreet]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>CADStreet</remote-alias>
<ordinal>21</ordinal>
<local-type>string</local-type>
<aggregation>Count</aggregation>
<scale>1</scale>
<width>1073741823</width>
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<metadata-record class='column'>
<remote-name>lat</remote-name>
<remote-type>5</remote-type>
<local-name>[lat]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>lat</remote-alias>
<ordinal>22</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
</metadata-record>
<metadata-record class='column'>
<remote-name>lon</remote-name>
<remote-type>5</remote-type>
<local-name>[lon]</local-name>
<parent-name>[crimedata.csv]</parent-name>
<remote-alias>lon</remote-alias>
<ordinal>23</ordinal>
<local-type>real</local-type>
<aggregation>Sum</aggregation>
<contains-null>true</contains-null>
</metadata-record>
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<aliases enabled='yes' />
<column caption='CAD Address' datatype='string' name='[CADAddress]' role='dimension' type='nominal' />
<column caption='CAD Street' datatype='string' name='[CADStreet]' role='dimension' type='nominal' />
<column caption='RANk' datatype='integer' name='[Calculation_277041764945825795]' role='measure' type='quantitative'>
<calculation class='tableau' formula='RANK(SUM([Count]))'>
<table-calc ordering-type='Rows' />
</calculation>
</column>
<column caption='Crime Month' datatype='string' name='[CrimeMonth]' role='dimension' type='nominal' />
<column caption='Crime Per Capita' datatype='real' name='[CrimePerCapita]' role='measure' type='quantitative' />
<column caption='Crime Year' datatype='integer' name='[CrimeYear]' role='dimension' type='quantitative' />
<column datatype='integer' name='[Crime]' role='measure' type='ordinal' />
<column caption='Date Occur' datatype='datetime' name='[DateOccur]' role='dimension' type='ordinal' />
<column aggregation='Sum' datatype='integer' name='[District]' role='dimension' type='ordinal' />
<column caption='ILEADS Address' datatype='integer' name='[ILEADSAddress]' role='measure' type='quantitative' />
<column caption='ILEADS Street' datatype='string' name='[ILEADSStreet]' role='dimension' type='nominal' />
<column caption='Location Comment' datatype='string' name='[LocationComment]' role='dimension' type='nominal' />
<column caption='Location Name' datatype='string' name='[LocationName]' role='dimension' type='nominal' />
<column datatype='string' name='[Neighborhood Name]' role='dimension' type='nominal' />
<column aggregation='Sum' datatype='integer' name='[Neighborhood Primary District]' role='dimension' type='ordinal' />
<column datatype='integer' name='[Neighbourhood Number]' role='dimension' type='ordinal' />
<column datatype='integer' name='[Number of Records]' role='measure' type='quantitative' user:auto-column='numrec'>
<calculation class='tableau' formula='1' />
</column>
<column caption='UCR Code' datatype='integer' name='[UCRCode]' role='dimension' type='ordinal' />
<column caption='UCR Crime' datatype='string' name='[UCRCrime]' role='dimension' type='nominal' />
<column aggregation='Sum' caption='UCR Type' datatype='integer' name='[UCRType]' role='dimension' type='ordinal'>
<aliases>
<alias key='1' value='Violent & Property Crimes' />
<alias key='2' value='Less Serious Crimes' />
</aliases>
</column>
<column aggregation='Avg' caption='Lat' datatype='real' name='[lat]' role='dimension' semantic-role='[Geographical].[Latitude]' type='quantitative' />
<column aggregation='Avg' caption='Lon' datatype='real' name='[lon]' role='dimension' semantic-role='[Geographical].[Longitude]' type='quantitative' />
<column-instance column='[CrimeMonth]' derivation='None' name='[none:CrimeMonth:nk]' pivot='key' type='nominal' />
<column-instance column='[Neighborhood Name]' derivation='None' name='[none:Neighborhood Name:nk]' pivot='key' type='nominal' />
<column-instance column='[UCRCrime]' derivation='None' name='[none:UCRCrime:nk]' pivot='key' type='nominal' />
<column-instance column='[UCRType]' derivation='None' name='[none:UCRType:ok]' pivot='key' type='ordinal' />
<layout dim-ordering='alphabetic' dim-percentage='0.719658' measure-ordering='alphabetic' measure-percentage='0.280342' show-aliased-fields='true' show-structure='true' />
<style>
<style-rule element='mark'>
<encoding attr='color' field='[none:CrimeMonth:nk]' palette='blue_10_0' type='palette'>
<map to='#2a5783'>
<bucket>"August"</bucket>
</map>
<map to='#35628f'>
<bucket>"July"</bucket>
</map>
<map to='#406d9b'>
<bucket>"May"</bucket>
</map>
<map to='#4979a7'>
<bucket>"October"</bucket>
</map>
<map to='#5485b2'>
<bucket>"June"</bucket>
</map>
<map to='#6091bc'>
<bucket>"September"</bucket>
</map>
<map to='#6d9ec6'>
<bucket>"January"</bucket>
</map>
<map to='#7aaad0'>
<bucket>"April"</bucket>
</map>
<map to='#87b7d9'>
<bucket>"March"</bucket>
</map>
<map to='#97c4e2'>
<bucket>"December"</bucket>
</map>
<map to='#a7d1ea'>
<bucket>"November"</bucket>
</map>
<map to='#b9ddf1'>
<bucket>"February"</bucket>
</map>
</encoding>
<encoding attr='color' field='[none:UCRType:ok]' type='palette'>
<map to='#e03531'>
<bucket>1</bucket>
</map>
<map to='#e39802'>
<bucket>2</bucket>
</map>
</encoding>
<encoding attr='color' field='[none:UCRCrime:nk]' type='palette'>
<map to='#499894'>
<bucket>"Forcible Rape"</bucket>
</map>
<map to='#4e79a7'>
<bucket>"Aggravated Assault"</bucket>
</map>
<map to='#4e79a7'>
<bucket>"Sex Offenses"</bucket>
</map>
<map to='#59a14f'>
<bucket>"Disorderly Conduct"</bucket>
</map>
<map to='#59a14f'>
<bucket>"Weapons"</bucket>
</map>
<map to='#79706e'>
<bucket>"Larceny-theft"</bucket>
</map>
<map to='#86bcb6'>
<bucket>"Forgery and Counterfeiting"</bucket>
</map>
<map to='#8cd17d'>
<bucket>"Drug Abuse Violations"</bucket>
</map>
<map to='#9d7660'>
<bucket>"Prostitution and Commercialized Vice"</bucket>
</map>
<map to='#a0cbe8'>
<bucket>"Arson"</bucket>
</map>
<map to='#a0cbe8'>
<bucket>"Stolen Property"</bucket>
</map>
<map to='#b07aa1'>
<bucket>"Other"</bucket>
</map>
<map to='#b6992d'>
<bucket>"DUI"</bucket>
</map>
<map to='#bab0ac'>
<bucket>"Liquor Laws"</bucket>
</map>
<map to='#d37295'>
<bucket>"Motor vehicle theft"</bucket>
</map>
<map to='#d4a6c8'>
<bucket>"Other assaults"</bucket>
</map>
<map to='#d7b5a6'>
<bucket>"Robbery"</bucket>
</map>
<map to='#e15759'>
<bucket>"Fraud"</bucket>
</map>
<map to='#f1ce63'>
<bucket>"Embezzlement"</bucket>
</map>
<map to='#f28e2b'>
<bucket>"Burglary"</bucket>
</map>
<map to='#f28e2b'>
<bucket>"Vagrancy"</bucket>
</map>
<map to='#fabfd2'>
<bucket>"Offenses Against the Family and Children"</bucket>
</map>
<map to='#ff9d9a'>
<bucket>"Gambling"</bucket>
</map>
<map to='#ffbe7d'>
<bucket>"Criminal Homicide"</bucket>
</map>
<map to='#ffbe7d'>
<bucket>"Vandalism"</bucket>
</map>
</encoding>
<encoding attr='color' field='[none:Neighborhood Name:nk]' type='palette'>
<map to='#499894'>
<bucket>"Botanical Garden"</bucket>
</map>
<map to='#499894'>
<bucket>"Fountain Park"</bucket>
</map>
<map to='#499894'>
<bucket>"McKinley Heights"</bucket>
</map>
<map to='#499894'>
<bucket>"South Hampton"</bucket>
</map>
<map to='#499894'>
<bucket>"Wydown-Skinker"</bucket>
</map>
<map to='#4e79a7'>
<bucket>"Cardonlet"</bucket>
</map>
<map to='#4e79a7'>
<bucket>"Kings Oak"</bucket>
</map>
<map to='#4e79a7'>
<bucket>"Kosciusko"</bucket>
</map>
<map to='#4e79a7'>
<bucket>"Peabody-Darst-Webbe"</bucket>
</map>
<map to='#4e79a7'>
<bucket>"Unknown"</bucket>
</map>
<map to='#59a14f'>
<bucket>"Dutchtown"</bucket>
</map>
<map to='#59a14f'>
<bucket>"Fairground Neighborhood"</bucket>
</map>
<map to='#59a14f'>
<bucket>"Lindenwood Park"</bucket>
</map>
<map to='#59a14f'>
<bucket>"Riverview"</bucket>
</map>
<map to='#59a14f'>
<bucket>"Walnut Park West"</bucket>
</map>
<map to='#76b7b2'>
<bucket>"Downtown West"</bucket>
</map>
<map to='#79706e'>
<bucket>"Carondelet Park"</bucket>
</map>
<map to='#79706e'>
<bucket>"Hamilton Heights"</bucket>
</map>
<map to='#79706e'>
<bucket>"Near N. Riverfront"</bucket>
</map>
<map to='#79706e'>
<bucket>"The Gate District"</bucket>
</map>
<map to='#86bcb6'>
<bucket>"Boulevard Heights"</bucket>
</map>
<map to='#86bcb6'>
<bucket>"Fox Park"</bucket>
</map>
<map to='#86bcb6'>
<bucket>"McRee Town"</bucket>
</map>
<map to='#86bcb6'>
<bucket>"Southwest Garden"</bucket>
</map>
<map to='#8cd17d'>
<bucket>"Benton Park"</bucket>
</map>
<map to='#8cd17d'>
<bucket>"Fairgrounds Park"</bucket>
</map>
<map to='#8cd17d'>
<bucket>"Marine Villa"</bucket>
</map>
<map to='#8cd17d'>
<bucket>"Shaw"</bucket>
</map>
<map to='#8cd17d'>
<bucket>"Wells-Goodfellow"</bucket>
</map>
<map to='#9d7660'>
<bucket>"Columbus Square"</bucket>
</map>
<map to='#9d7660'>
<bucket>"Covenant Blu - Grand Center"</bucket>
</map>
<map to='#9d7660'>
<bucket>"Old North St. Louis"</bucket>
</map>
<map to='#9d7660'>
<bucket>"Tower Grove Park"</bucket>
</map>
<map to='#a0cbe8'>
<bucket>"Academy"</bucket>
</map>
<map to='#a0cbe8'>
<bucket>"Kingsway East"</bucket>
</map>
<map to='#a0cbe8'>
<bucket>"Lafayette Square"</bucket>
</map>
<map to='#a0cbe8'>
<bucket>"Penrose"</bucket>
</map>
<map to='#a0cbe8'>
<bucket>"Vandeventer"</bucket>
</map>
<map to='#b07aa1'>
<bucket>"Clifton Heights"</bucket>
</map>
<map to='#b07aa1'>
<bucket>"Jeff Vanderlou"</bucket>
</map>
<map to='#b07aa1'>
<bucket>"O'Fallon"</bucket>
</map>
<map to='#b07aa1'>
<bucket>"Tiffany"</bucket>
</map>
<map to='#b6992d'>
<bucket>"Benton Park West"</bucket>
</map>
<map to='#b6992d'>
<bucket>"Forest Park"</bucket>
</map>
<map to='#b6992d'>
<bucket>"Mark Twain"</bucket>
</map>
<map to='#b6992d'>
<bucket>"Skinker-DeBaliviere"</bucket>
</map>
<map to='#b6992d'>
<bucket>"West Ellendale"</bucket>
</map>
<map to='#bab0ac'>
<bucket>"Carr Square"</bucket>
</map>
<map to='#bab0ac'>
<bucket>"Hi-Point"</bucket>
</map>
<map to='#bab0ac'>
<bucket>"North Hampton"</bucket>
</map>
<map to='#bab0ac'>
<bucket>"The Great Ville"</bucket>
</map>
<map to='#d37295'>
<bucket>"Cheltenham"</bucket>
</map>
<map to='#d37295'>
<bucket>"Holly Hills"</bucket>
</map>
<map to='#d37295'>
<bucket>"North Point"</bucket>
</map>
<map to='#d37295'>
<bucket>"The Hill"</bucket>
</map>
<map to='#d4a6c8'>
<bucket>"College Hill"</bucket>
</map>
<map to='#d4a6c8'>
<bucket>"Compton Heights"</bucket>
</map>
<map to='#d4a6c8'>
<bucket>"O'Fallon Park"</bucket>
</map>
<map to='#d4a6c8'>
<bucket>"Tower Grove East"</bucket>
</map>
<map to='#d7b5a6'>
<bucket>"DeBaliviere Place"</bucket>
</map>
<map to='#d7b5a6'>
<bucket>"Patch"</bucket>
</map>
<map to='#d7b5a6'>
<bucket>"Tower Grove South"</bucket>
</map>
<map to='#e15759'>
<bucket>"Downtown"</bucket>
</map>
<map to='#e15759'>
<bucket>"Franz Park"</bucket>
</map>
<map to='#e15759'>
<bucket>"Midtown"</bucket>
</map>
<map to='#e15759'>
<bucket>"St. Louis Hills"</bucket>
</map>
<map to='#f1ce63'>
<bucket>"Bevo Mill"</bucket>
</map>
<map to='#f1ce63'>
<bucket>"Forest Park SE"</bucket>
</map>
<map to='#f1ce63'>
<bucket>"Mark Twain I-70 Ind."</bucket>
</map>
<map to='#f1ce63'>
<bucket>"Soulard"</bucket>
</map>
<map to='#f1ce63'>
<bucket>"Wilmore Park"</bucket>
</map>
<map to='#f28e2b'>
<bucket>"Central West End"</bucket>
</map>
<map to='#f28e2b'>
<bucket>"Kingsway West"</bucket>
</map>
<map to='#f28e2b'>
<bucket>"Lasalle"</bucket>
</map>
<map to='#f28e2b'>
<bucket>"Penrose Park"</bucket>
</map>
<map to='#f28e2b'>
<bucket>"Visitation Park"</bucket>
</map>
<map to='#fabfd2'>
<bucket>"Clayton-Tamm"</bucket>
</map>
<map to='#fabfd2'>
<bucket>"Hyde Park"</bucket>
</map>
<map to='#fabfd2'>
<bucket>"North Riverfront"</bucket>
</map>
<map to='#fabfd2'>
<bucket>"The Ville"</bucket>
</map>
<map to='#ff9d9a'>
<bucket>"Calvary-Bellefontaine Cemetaries"</bucket>
</map>
<map to='#ff9d9a'>
<bucket>"Gravois Park"</bucket>
</map>
<map to='#ff9d9a'>
<bucket>"Mount Pleasant"</bucket>
</map>
<map to='#ff9d9a'>
<bucket>"St. Louis Place"</bucket>
</map>
<map to='#ffbe7d'>
<bucket>"Baden"</bucket>
</map>
<map to='#ffbe7d'>
<bucket>"Ellendale"</bucket>
</map>
<map to='#ffbe7d'>
<bucket>"Lewis Place"</bucket>
</map>
<map to='#ffbe7d'>
<bucket>"Princeton Heights"</bucket>
</map>
<map to='#ffbe7d'>
<bucket>"Walnut Park East"</bucket>
</map>
</encoding>
</style-rule>
</style>
<semantic-values>
<semantic-value key='[Country].[Name]' value='"Ireland"' />
</semantic-values>
</datasource>
</datasources>
<mapsources>
<mapsource name='Tableau' />
</mapsources>
<worksheets>
<worksheet name='Sheet 1'>
<table>
<view>
<datasources>
<datasource caption='crimedata' name='federated.1dt9ya00c19t5r1ecaeri0mrux7x' />
</datasources>
<mapsources>
<mapsource name='Tableau' />
</mapsources>
<datasource-dependencies datasource='federated.1dt9ya00c19t5r1ecaeri0mrux7x'>
<column datatype='string' name='[Neighborhood Name]' role='dimension' type='nominal' />
<column datatype='integer' name='[Number of Records]' role='measure' type='quantitative' user:auto-column='numrec'>
<calculation class='tableau' formula='1' />
</column>
<column aggregation='Avg' caption='Lat' datatype='real' name='[lat]' role='dimension' semantic-role='[Geographical].[Latitude]' type='quantitative' />
<column aggregation='Avg' caption='Lon' datatype='real' name='[lon]' role='dimension' semantic-role='[Geographical].[Longitude]' type='quantitative' />
<column-instance column='[Neighborhood Name]' derivation='None' name='[none:Neighborhood Name:nk]' pivot='key' type='nominal' />
<column-instance column='[lat]' derivation='None' name='[none:lat:qk]' pivot='key' type='quantitative' />
<column-instance column='[lon]' derivation='None' name='[none:lon:qk]' pivot='key' type='quantitative' />
<column-instance column='[Number of Records]' derivation='Sum' name='[sum:Number of Records:qk]' pivot='key' type='quantitative' />
</datasource-dependencies>
<filter class='categorical' column='[federated.1dt9ya00c19t5r1ecaeri0mrux7x].[none:Neighborhood Name:nk]'>
<groupfilter count='5' end='top' function='end' units='records' user:ui-marker='end' user:ui-top-by-field='true'>
<groupfilter direction='DESC' expression='SUM([Number of Records])' function='order' user:ui-marker='order'>
<groupfilter function='level-members' level='[none:Neighborhood Name:nk]' user:ui-enumeration='all' user:ui-marker='enumerate' />
</groupfilter>
</groupfilter>
</filter>
<slices>
<column>[federated.1dt9ya00c19t5r1ecaeri0mrux7x].[none:Neighborhood Name:nk]</column>
</slices>
<aggregation value='true' />
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<style>
<style-rule element='axis'>
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<encoding attr='space' class='0' field='[federated.1dt9ya00c19t5r1ecaeri0mrux7x].[none:lat:qk]' field-type='quantitative' max='4675855.6841358803' min='4657414.2453117091' projection='EPSG:3857' range-type='fixed' scope='rows' type='space' />
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<format attr='enabled' id='pp2_adminlabels' value='true' />
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<format attr='enabled' id='pp2_statelabels' value='true' />
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<format attr='enabled' id='countylabels' value='true' />
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<format attr='geo-area-type' value='Block Group' />
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<pane selection-relaxation-option='selection-relaxation-allow'>
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<breakdown value='auto' />
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<mark-sizing mark-sizing-setting='marks-scaling-off' />
<encodings>
<color column='[federated.1dt9ya00c19t5r1ecaeri0mrux7x].[none:Neighborhood Name:nk]' />
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<style-rule element='mark'>
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<worksheet name='Sheet 2'>
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<datasource caption='crimedata' name='federated.1dt9ya00c19t5r1ecaeri0mrux7x' />
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<column datatype='integer' name='[Count]' role='measure' type='quantitative' />
<column caption='Crime Month' datatype='string' name='[CrimeMonth]' role='dimension' type='nominal' />
<column caption='Crime Year' datatype='integer' name='[CrimeYear]' role='dimension' type='quantitative' />
<column-instance column='[CrimeMonth]' derivation='None' name='[none:CrimeMonth:nk]' pivot='key' type='nominal' />
<column-instance column='[CrimeYear]' derivation='None' name='[none:CrimeYear:qk]' pivot='key' type='quantitative' />
<column-instance column='[Count]' derivation='Sum' name='[sum:Count:qk]' pivot='key' type='quantitative' />
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<natural-sort column='[federated.1dt9ya00c19t5r1ecaeri0mrux7x].[none:CrimeMonth:nk]' direction='ASC' />
<filter class='quantitative' column='[federated.1dt9ya00c19t5r1ecaeri0mrux7x].[none:CrimeYear:qk]' included-values='in-range'>
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<max>2018</max>
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<column>[federated.1dt9ya00c19t5r1ecaeri0mrux7x].[none:CrimeYear:qk]</column>
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<style-rule element='axis'>
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<rows>[federated.1dt9ya00c19t5r1ecaeri0mrux7x].[none:CrimeMonth:nk]</rows>
<cols>[federated.1dt9ya00c19t5r1ecaeri0mrux7x].[sum:Count:qk]</cols>
</table>
</worksheet>
<worksheet name='Sheet 4'>
<table>
<view>
<datasources>
<datasource caption='crimedata' name='federated.1dt9ya00c19t5r1ecaeri0mrux7x' />
</datasources>
<datasource-dependencies datasource='federated.1dt9ya00c19t5r1ecaeri0mrux7x'>
<column caption='UCR Crime' datatype='string' name='[UCRCrime]' role='dimension' type='nominal' />
<column-instance column='[UCRCrime]' derivation='Count' name='[cnt:UCRCrime:qk]' pivot='key' type='quantitative' />
<column-instance column='[UCRCrime]' derivation='None' name='[none:UCRCrime:nk]' pivot='key' type='nominal' />
</datasource-dependencies>
<aggregation value='true' />
</view>
<style />
<panes>