Find it EZ

Location: Tableau Server
Host: http://bnbrepository9/#/
Path: Tableau Samples/Regional

Workbook Information
    Author:    Unknown

Embedded Datasources

    Datasource:    Education

        Connection

            Data Sources

                Data Source:    Education

                    Attributes
                        authentication:    auth-username-password
                        class:    hyper
                        dbname:    extract/e1/0e/{5BCD0A04-D9D7-4222-8ECB-A731EB673D99}/dataengine_42020_795741076392lea.hyper
                        default-settings:    yes
                        extract-engine:    true
                        management-tablespace:    extracts
                        port:    8633
                        schema:    Extract
                        server:    localhost
                        tablename:    Extract
                        username:    tableau_internal_user

            Tables

                Table:    Extract
                    Database Object:    [Extract].[Extract]
                    Connection:    Education

        Dimension

            Extract

                Dimension:    College
                    Role:    Discrete Dimension
                    Remote Column:    [Extract].[College]
                    Data Type:    string

                Dimension:    Gender
                    Role:    Discrete Dimension
                    Remote Column:    [Extract].[Gender]
                    Data Type:    string

                Dimension:    Major
                    Role:    Discrete Dimension
                    Remote Column:    [Extract].[Major]
                    Data Type:    string

        Measure

            Extract

                Measure:    Academic Year
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Academic Year]
                    Data Type:    integer

                Measure:    Ethnicity
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Ethnicity]
                    Data Type:    string
                    Aggregation:    Count

                Measure:    Math
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Math]
                    Data Type:    real
                    Aggregation:    Sum

                Measure:    Verbal
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Verbal]
                    Data Type:    real
                    Aggregation:    Sum

                Measure:    Writing
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Writing]
                    Data Type:    real
                    Aggregation:    Sum

            Calculated/Other

                Measure:    True Average
                    Role:    Continous Measure
                    Data Type:    real
                    Formula:    {SUM([Total Score])/SUM(1)}
                                //Because this is a table-scoped LOD, filters 
                                //need to be context filters so that they are 
                                //evaluated prior to the calculation

                Measure:    Total Score
                    Role:    Continous Measure
                    Data Type:    real
                    Formula:    [Math]+[Verbal]+[Writing]

        Semantic Values
            [Country].[Name]:    "United States"

    Datasource:    Obesity

        Connection

            Data Sources

                Data Source:    Obesity

                    Attributes
                        authentication:    auth-username-password
                        class:    hyper
                        dbname:    extract/e1/0e/{5BCD0A04-D9D7-4222-8ECB-A731EB673D99}/hyper_1809jb10jua5bq1cweope10h9n.hyper
                        default-settings:    yes
                        extract-engine:    true
                        management-tablespace:    extracts
                        port:    8633
                        schema:    Extract
                        server:    localhost
                        tablename:    Extract
                        username:    tableau_internal_user

            Tables

                Table:    Extract
                    Database Object:    [Extract].[Extract]
                    Connection:    Obesity

        Dimension

            Extract

                Dimension:    County
                    Role:    Discrete Dimension
                    Remote Column:    [Extract].[County]
                    Data Type:    string

                Dimension:    Region
                    Role:    Discrete Dimension
                    Remote Column:    [Extract].[Region]
                    Data Type:    string

                Dimension:    State
                    Role:    Discrete Dimension
                    Remote Column:    [Extract].[State]
                    Data Type:    string

            Calculated/Other

                Dimension:    Above or Below?
                    Role:    Discrete Dimension
                    Data Type:    string
                    Formula:    IF ROUND([Regional Obesity Rate],2) = ROUND({FIXED [State],[County]: AVG([Adult Obesity (% of pop)])},2)
                                 THEN "on par with"
                                ELSEIF ROUND([Regional Obesity Rate],2) < ROUND({FIXED [State],[County]: AVG([Adult Obesity (% of pop)])},2)
                                 THEN STR(ROUND(([Difference from Region]*100),2)) + "% above"
                                ELSE STR(ROUND(([Difference from Region]*100),2)) + "% below"
                                END

        Measure

            Extract

                Measure:    Adult Obesity (% of pop)
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Adult Obesity (% of pop)]
                    Data Type:    real

                Measure:    Adult Smokers (% of pop)
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Adult Smokers (% of pop)]
                    Data Type:    real

                Measure:    Children in Poverty (% of pop)
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Children in Poverty (% of pop)]
                    Data Type:    real

                Measure:    Diabetic (% of pop)
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Diabetic (% of pop)]
                    Data Type:    real

                Measure:    Food Insecure (% of pop)
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Food Insecure (% of pop)]
                    Data Type:    real

                Measure:    Physically Inactive (% of pop)
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Physically Inactive (% of pop)]
                    Data Type:    real

            Calculated/Other

                Measure:    Regional Obesity Rate
                    Role:    Continous Measure
                    Data Type:    real
                    Formula:    {FIXED [Region]: AVG([Adult Obesity (% of pop)])}

                Measure:    Difference from Region
                    Role:    Continous Measure
                    Data Type:    real
                    Formula:    ABS(ROUND({FIXED [State],[County]: AVG([Adult Obesity (% of pop)])},2)- ROUND([Regional Obesity Rate],2))

                Measure:    Number of Records
                    Role:    Continous Measure
                    Data Type:    integer
                    Formula:    1

        Semantic Values
            [Country].[Name]:    "United States"

    Datasource:    Flight

        Connection

            Data Sources

                Data Source:    Flight

                    Attributes
                        authentication:    auth-username-password
                        class:    hyper
                        dbname:    extract/e1/0e/{5BCD0A04-D9D7-4222-8ECB-A731EB673D99}/dataengine_42020_797469930556lea.hyper
                        default-settings:    yes
                        extract-engine:    true
                        management-tablespace:    extracts
                        port:    8633
                        schema:    Extract
                        server:    localhost
                        tablename:    Extract
                        username:    tableau_internal_user

            Tables

                Table:    Extract
                    Database Object:    [Extract].[Extract]
                    Connection:    Flight

        Dimension

            Extract

                Dimension:    City
                    Role:    Discrete Dimension
                    Remote Column:    [Extract].[City]
                    Data Type:    string

                Dimension:    Ontime Category
                    Role:    Discrete Dimension
                    Remote Column:    [Extract].[Ontime Category]
                    Data Type:    string

                Dimension:    State
                    Role:    Discrete Dimension
                    Remote Column:    [Extract].[State]
                    Data Type:    string

        Measure

            Extract

                Measure:    Airport Code
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Airport Code]
                    Data Type:    string
                    Aggregation:    Count

                Measure:    Airport Name
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Airport Name]
                    Data Type:    string
                    Aggregation:    Count

                Measure:    Carrier Code
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Carrier Code]
                    Data Type:    string
                    Aggregation:    Count

                Measure:    Carrier Name
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Carrier Name]
                    Data Type:    string
                    Aggregation:    Count

                Measure:    Date
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Date]
                    Data Type:    date
                    Aggregation:    Year

                Measure:    Minutes of Delay
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Minutes of Delay]
                    Data Type:    integer
                    Aggregation:    Sum

                Measure:    Number of Flights
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Number of Flights]
                    Data Type:    real
                    Aggregation:    Sum

            Calculated/Other

                Measure:    % of Delayed Flights
                    Role:    Continous Measure
                    Data Type:    real
                    Formula:    Sum(if contains([Ontime Category], "Delayed") then [Number of Flights] else 0 end)/sum([Number of Flights])

                Measure:    Minutes of Delay per Flight
                    Role:    Continous Measure
                    Data Type:    real
                    Formula:    [Minutes of Delay]/[Number of Flights]

        Semantic Values
            [Country].[Name]:    "United States"

    Datasource:    Stocks

        Connection

            Data Sources

                Data Source:    Stocks

                    Attributes
                        authentication:    auth-username-password
                        class:    hyper
                        dbname:    extract/e1/0e/{5BCD0A04-D9D7-4222-8ECB-A731EB673D99}/dataengine_42038_846130138889lea.hyper
                        default-settings:    yes
                        extract-engine:    true
                        management-tablespace:    extracts
                        port:    8633
                        schema:    Extract
                        server:    localhost
                        tablename:    Extract
                        username:    tableau_internal_user

            Tables

                Table:    Extract
                    Database Object:    [Extract].[Extract]
                    Connection:    Stocks

        Dimension

            Extract

                Dimension:    Company
                    Role:    Discrete Dimension
                    Remote Column:    [Extract].[Company]
                    Data Type:    string

                Dimension:    Date
                    Role:    Discrete Dimension
                    Remote Column:    [Extract].[Date]
                    Data Type:    date

        Measure

            Extract

                Measure:    Number of Records
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Number of Records]
                    Data Type:    integer
                    Formula:    1

                Measure:    Close
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Close]
                    Data Type:    real
                    Aggregation:    Sum

                Measure:    High
                    Role:    Continous Measure
                    Remote Column:    [Extract].[High]
                    Data Type:    real
                    Aggregation:    Sum

                Measure:    Low
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Low]
                    Data Type:    real
                    Aggregation:    Sum

                Measure:    Open
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Open]
                    Data Type:    real
                    Aggregation:    Sum

                Measure:    Volume
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Volume]
                    Data Type:    integer
                    Aggregation:    Sum

        Semantic Values
            [Country].[Name]:    "United States"

    Datasource:    Global Temperatures

        Connection

            Data Sources

                Data Source:    Global Temperatures

                    Attributes
                        authentication:    auth-username-password
                        class:    hyper
                        dbname:    extract/e1/0e/{5BCD0A04-D9D7-4222-8ECB-A731EB673D99}/dataengine_1drcocf045eval105hqv7.hyper
                        default-settings:    yes
                        extract-engine:    true
                        management-tablespace:    extracts
                        port:    8633
                        schema:    Extract
                        server:    localhost
                        tablename:    Extract
                        username:    tableau_internal_user

            Tables

                Table:    Extract
                    Database Object:    [Extract].[Extract]
                    Connection:    Global Temperatures

        Dimension

            Calculated/Other

                Dimension:    Date
                    Role:    Discrete Dimension
                    Data Type:    date
                    Formula:    DATE(DATEPARSE("yyyy/MM",[Year]))

        Measure

            Extract

                Measure:    Lower CI
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Lower CI]
                    Data Type:    real

                Measure:    Median
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Median]
                    Data Type:    real

                Measure:    Upper CI
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Upper CI]
                    Data Type:    real

                Measure:    Year
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Year]
                    Data Type:    string
                    Aggregation:    Count

            Calculated/Other

                Measure:    Above Median?
                    Role:    Discrete Measure
                    Data Type:    string
                    Formula:    IF AVG([Median]) > 0
                                THEN "above median"
                                ELSEIF AVG([Median]) < 0 
                                THEN "below median"
                                ELSE "(at median)"
                                END

                Measure:    Calculation_585397597232062466
                    Role:    Continous Measure
                    Data Type:    real
                    Formula:    [Calculation_585397597231960065]*[Year - Split 2]

                Measure:    Calculation_585397597264601092
                    Role:    Continous Measure
                    Data Type:    real
                    Formula:    [Median]+1.5

                Measure:    Number of Records
                    Role:    Continous Measure
                    Data Type:    integer
                    Formula:    1

                Measure:    Year - Split 1
                    Role:    Continous Measure
                    Data Type:    integer
                    Formula:    INT( SPLIT( [Year], "/", 1 ) )

                Measure:    Year - Split 2
                    Role:    Continous Measure
                    Data Type:    integer
                    Formula:    INT( SPLIT( [Year], "/", 2 ) )

        Semantic Values
            [Country].[Name]:    "Reino Unido"

    Datasource:    Economy

        Connection

            Data Sources

                Data Source:    Economy

                    Attributes
                        authentication:    auth-username-password
                        class:    hyper
                        dbname:    extract/e1/0e/{5BCD0A04-D9D7-4222-8ECB-A731EB673D99}/dataengine_42020_789079537040lea.hyper
                        default-settings:    yes
                        extract-engine:    true
                        management-tablespace:    extracts
                        port:    8633
                        schema:    Extract
                        server:    localhost
                        tablename:    Extract
                        username:    tableau_internal_user

            Tables

                Table:    Extract
                    Database Object:    [Extract].[Extract]
                    Connection:    Economy

        Dimension

            Extract

                Dimension:    Date
                    Role:    Discrete Dimension
                    Remote Column:    [Extract].[Date]
                    Data Type:    datetime

                Dimension:    Decade
                    Role:    Discrete Dimension
                    Remote Column:    [Extract].[Decade]
                    Data Type:    integer
                    Aggregation:    Sum

                Dimension:    Metric
                    Role:    Discrete Dimension
                    Remote Column:    [Extract].[Metric]
                    Data Type:    string

        Measure

            Extract

                Measure:    Value
                    Role:    Continous Measure
                    Remote Column:    [Extract].[Value]
                    Data Type:    real

        Semantic Values
            [Country].[Name]:    "United States"

Dashboards

    Dashboard:    Economy

        Worksheets

            Worksheet:    S&P Returns Vs Conditions
                Datasources:    Economy
                Used Dimensions & Measures:    [Date]
                                               [Decade]
                                               [Metric]
                                               [Value]
                Used Remote Columns:    [Extract].[Date]
                                        [Extract].[Decade]
                                        [Extract].[Metric]
                                        [Extract].[Value]

            Worksheet:    S&P Forward Returns
                Datasources:    Economy
                Used Dimensions & Measures:    [Date]
                                               [Decade]
                                               [Metric]
                                               [Value]
                Used Remote Columns:    [Extract].[Date]
                                        [Extract].[Decade]
                                        [Extract].[Metric]
                                        [Extract].[Value]

            Worksheet:    S&P Returns by Decade
                Datasources:    Economy
                Used Dimensions & Measures:    [Date]
                                               [Decade]
                                               [Metric]
                                               [Value]
                Used Remote Columns:    [Extract].[Date]
                                        [Extract].[Decade]
                                        [Extract].[Metric]
                                        [Extract].[Value]

        Dashboard Objects:
            Filter:    [Economy].[Metric]
            Filter:    [Economy].[YEAR(Date)]
            Text:    S&P Economic Indicators

    Dashboard:    Global Temperatures

        Worksheets

            Worksheet:    Heat Map
                Datasources:    Global Temperatures
                Used Dimensions & Measures:    [Above Median?]
                                               [Date]
                                               [Median]
                                               [Year]
                Used Remote Columns:    [Extract].[Median]
                                        [Extract].[Year]

            Worksheet:    Scatter
                Datasources:    Global Temperatures
                Used Dimensions & Measures:    [Above Median?]
                                               [Date]
                                               [Median]
                                               [Year]
                Used Remote Columns:    [Extract].[Median]
                                        [Extract].[Year]

        Dashboard Objects:
            Filter:    [Global Temperatures].[MONTH(Date)]
            Text:    This data contains 100 observations of surface temperature (°C) around the world. Each data point is presented as a difference from the median, or temperature anomaly, calculated relative to the 1961-1990 average.

    Dashboard:    Obesity

        Worksheets

            Worksheet:    Obesity Map
                Datasources:    Obesity
                Used Dimensions & Measures:    [Above or Below?]
                                               [Adult Obesity (% of pop)]
                                               [Adult Smokers (% of pop)]
                                               [County]
                                               [Difference from Region]
                                               [Food Insecure (% of pop)]
                                               [Physically Inactive (% of pop)]
                                               [Region]
                                               [Regional Obesity Rate]
                                               [State]
                Used Remote Columns:    [Extract].[Adult Obesity (% of pop)]
                                        [Extract].[Adult Smokers (% of pop)]
                                        [Extract].[County]
                                        [Extract].[Food Insecure (% of pop)]
                                        [Extract].[Physically Inactive (% of pop)]
                                        [Extract].[Region]
                                        [Extract].[State]

            Worksheet:    Obesity Scatter Plot
                Datasources:    Obesity
                Used Dimensions & Measures:    [Adult Obesity (% of pop)]
                                               [Adult Smokers (% of pop)]
                                               [County]
                                               [Food Insecure (% of pop)]
                                               [Physically Inactive (% of pop)]
                                               [Region]
                                               [State]
                Used Remote Columns:    [Extract].[Adult Obesity (% of pop)]
                                        [Extract].[Adult Smokers (% of pop)]
                                        [Extract].[County]
                                        [Extract].[Food Insecure (% of pop)]
                                        [Extract].[Physically Inactive (% of pop)]
                                        [Extract].[Region]
                                        [Extract].[State]

        Dashboard Objects:
            Filter:    [Obesity].[Region]

Worksheets

    Worksheet:    College
        Visible:    No

        Used Datasources

            Datasource:    Education

                Discrete Dimension:    College
                    Remote Column:    [Extract].[College]

                Discrete Dimension:    Gender
                    Remote Column:    [Extract].[Gender]

                Continous Measure:    Academic Year
                    Remote Column:    [Extract].[Academic Year]

                Continous Measure:    1

                Continous Measure:    True Average

                Continous Measure:    Total Score

                Continous Measure:    Math
                    Remote Column:    [Extract].[Math]

                Continous Measure:    Verbal
                    Remote Column:    [Extract].[Verbal]

                Continous Measure:    Writing
                    Remote Column:    [Extract].[Writing]

        Marks

            Mark:    All
                Type:    Circle
                Tooltip:    College of <[Education].[College]>
                            Total Score:	<[Education].[Total Score]>
                            # of Students: 	<[Education].[COUNT(Number of Records)]>
                            
                            Avg. Math score:	<[Education].[AVG(Math)]>
                            Avg. Verbal score:	<[Education].[AVG(Verbal)]>
                            Avg. Writing score:	<[Education].[AVG(Writing)]>

        View
            Rows:    [Education].[SUM(1)]
            Columns:    [Education].[Total Score]
            Filters:    [Education].[Academic Year]
                        [Education].[College]
                        [Education].[Gender]
            Slices:    [Education].[Academic Year]
                       [Education].[College]
                       [Education].[Gender]

            Styles

                Style:    axis

                    [Education].[Total Score]
                        title:    SAT Score
                        auto-subtitle:    true
                        height:    50

                    [Education].[SUM(1)]
                        auto-subtitle:    true

                Style:    cell

                    [Education].[College]
                        height:    48

                Style:    header

                    [Education].[College]
                        width:    184

                Style:    label

                    [Education].[Total Score]
                        font-weight:    normal
                        font-size:    8

                    [Education].[SUM(True Average)]
                        text-format:    n0.00

                Style:    table

                    Other
                        omit-on-special:    false
                        break-on-special:    false
                        show-null-value-warning:    false

                Style:    worksheet

                    rows
                        display-field-labels:    false

                    Other
                        font-size:    9
                        color:    #555555

                Style:    refline

                    refline0
                        vertical-align:    top
                        fill-above:    #00000000
                        fill-below:    #00000000
                        line-pattern-only:    dotted
                        line-visibility:    on

                    Other
                        stroke-size:    2
                        stroke-color:    #000000
                        line-pattern-only:    solid
                        line-visibility:    on

                    refline1
                        fill-above:    #00000000
                        fill-below:    #00000000
                        vertical-align:    top
                        font-weight:    bold
                        stroke-size:    1
                        text-align:    center
                        stroke-color:    #f7f7f7
                        line-pattern-only:    dotted
                        line-visibility:    on

                Style:    table-div

                    rows
                        line-visibility:    off

                    cols
                        line-visibility:    off

                Style:    title

                    Other
                        background-color:    #00000000

                Style:    quick-filter

                    [Education].[Gender]
                        title:    Gender

                    [Education].[Total Score]
                        title:    Select Score Range:

                    Other
                        color:    #353535

                Style:    quick-filter-title

                    Other
                        color:    #353535

    Worksheet:    Flight Delays
        Visible:    No

        Used Datasources

            Datasource:    Flight

                Discrete Dimension:    Airport Name
                    Remote Column:    [Extract].[Airport Name]

                Discrete Dimension:    Carrier Name
                    Remote Column:    [Extract].[Carrier Name]

                Discrete Dimension:    Date
                    Remote Column:    [Extract].[Date]

                Discrete Dimension:    Ontime Category
                    Remote Column:    [Extract].[Ontime Category]

                Continous Measure:    % of Delayed Flights

                Continous Measure:    Minutes of Delay per Flight

                Continous Measure:    Minutes of Delay
                    Remote Column:    [Extract].[Minutes of Delay]

                Continous Measure:    Number of Flights
                    Remote Column:    [Extract].[Number of Flights]

        Marks

            Mark:    All
                Type:    Bar
                Tooltip:    <[Flight].[Carrier Name]> in <[Flight].[MONTH(Date)]>
                            % of Delayed Flights: <[Flight].[% of total delayed Flights by Security (copy 2)]>
                            Avg. Minutes of Delay per Flight: <[Flight].[AVG(Minutes of Delay per Flight)]>

            Mark:    [Flight].[AVG(Minutes of Delay per Flight)]
                Type:    Line
                Tooltip:    <[Flight].[Carrier Name]> in <[Flight].[MONTH(Date)]>
                            % of Delayed Flights: <[Flight].[% of total delayed Flights by Security (copy 2)]>
                            Avg. Minutes of Delay per Flight: <[Flight].[AVG(Minutes of Delay per Flight)]>

            Mark:    [Flight].[% of total delayed Flights by Security (copy 2)]
                Type:    Area
                Tooltip:    <[Flight].[Carrier Name]> in <[Flight].[MONTH(Date)]>
                            % of Delayed Flights: <[Flight].[% of total delayed Flights by Security (copy 2)]>
                            Avg. Minutes of Delay per Flight: <[Flight].[AVG(Minutes of Delay per Flight)]>

        View
            Rows:    [Flight].[% of total delayed Flights by Security (copy 2)]
                     [Flight].[AVG(Minutes of Delay per Flight)]
            Columns:    [Flight].[Carrier Name]
                        [Flight].[MONTH(Date)]
            Filters:    [Flight].[Airport Name]
                        [Flight].[Carrier Name]
                        [Flight].[Date]
            Slices:    [Flight].[Date]
                       [Flight].[Airport Name]
                       [Flight].[Carrier Name]

            Styles

                Style:    axis

                    [Flight].[% of total delayed Flights by Security (copy 2)]
                        auto-subtitle:    true

                    rows
                        line-pattern-only:    solid
                        tick-color:    #f5f5f5
                        line-visibility:    on

                Style:    header

                    cols
                        band-color:    #fbfbfb

                    [Flight].[% of total delayed Flights by Security (copy 2)]
                        background-color:    #f7f7f7

                    [Flight].[AVG(Minutes of Delay per Flight)]
                        background-color:    #f5eddc

                Style:    label

                    [Flight].[Carrier Name]
                        text-orientation:    0
                        font-size:    8

                    [Flight].[MONTH(Date)]
                        vertical-align:    auto
                        text-align:    auto
                        wrap:    auto
                        text-format:    iLLL
                        text-orientation:    -90
                        font-size:    8
                        color:    #666666

                    [Flight].[% of total delayed Flights by Security (copy 2)]
                        font-size:    9

                Style:    pane

                    cols
                        band-color:    #fbfbfb

                Style:    table

                    Other
                        show-null-value-warning:    false

                    cols
                        band-level:    1
                        band-size:    1

                Style:    worksheet

                    cols
                        display-field-labels:    false

                    Other
                        font-size:    9

                Style:    dropline

                    cols
                        line-visibility:    off

                Style:    refline

                    cols
                        line-visibility:    off

                Style:    table-div

                    rows
                        line-visibility:    off

                    cols
                        line-pattern-only:    solid
                        stroke-size:    1
                        stroke-color:    #f5f5f5
                        line-visibility:    on

                Style:    header-div

                    cols
                        line-visibility:    off

                Style:    quick-filter

                    [Flight].[Airport Name]
                        title:    Choose Your Airport:

                    [Flight].[Date]
                        title:    Select Date:

                    [Flight].[Carrier Name]
                        title:    Choose Your Airline:

                Style:    quick-filter-title

                    Other
                        color:    #333333

    Worksheet:    Heat Map
        Visible:    Yes

        Used Datasources

            Datasource:    Global Temperatures

                Discrete Dimension:    Date

                Discrete Dimension:    Year
                    Remote Column:    [Extract].[Year]

                Discrete Measure:    Above Median?

                Continous Measure:    Median
                    Remote Column:    [Extract].[Median]

        Marks

            Mark:    All
                Type:    Square
                Tooltip:    <[Global Temperatures].[MONTH(Date)]> <[Global Temperatures].[YEAR(Date)]>
                            <[Global Temperatures].[AVG(Median)]> <[Global Temperatures].[Above Median?]> 
                            

        View
            Rows:    [Global Temperatures].[MONTH(Date)]
            Columns:    [Global Temperatures].[YEAR(Date)]
            Slices:    [Global Temperatures].[MONTH(Date)]

            Styles

                Style:    header

                    [Global Temperatures].[MONTH(Date)]
                        width:    88

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                    [Global Temperatures].[YEAR(Date)]
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                    [Global Temperatures].[MONTH(Date)]
                        title:    Select date

                Style:    data-highlighter-title

                    [Global Temperatures].[MONTH(Date)]
                        title:    Highlight Month

                    [Global Temperatures].[YEAR(Date)]
                        title:    Highlight Year

    Worksheet:    Obesity Map
        Visible:    Yes

        Used Datasources

            Datasource:    Obesity

                Discrete Dimension:    Above or Below?

                Discrete Dimension:    County
                    Remote Column:    [Extract].[County]

                Discrete Dimension:    Region
                    Remote Column:    [Extract].[Region]

                Discrete Dimension:    State
                    Remote Column:    [Extract].[State]

                Continous Measure:    Adult Obesity (% of pop)
                    Remote Column:    [Extract].[Adult Obesity (% of pop)]

                Continous Measure:    Adult Smokers (% of pop)
                    Remote Column:    [Extract].[Adult Smokers (% of pop)]

                Continous Measure:    Regional Obesity Rate

                Continous Measure:    Difference from Region

                Continous Measure:    Food Insecure (% of pop)
                    Remote Column:    [Extract].[Food Insecure (% of pop)]

                Continous Measure:    Physically Inactive (% of pop)
                    Remote Column:    [Extract].[Physically Inactive (% of pop)]

        Marks

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                Type:    Multipolygon
                Label:    <[Obesity].[County]> of <[Obesity].[State]>
                Tooltip:    <[Obesity].[County]> County, <[Obesity].[State]>
                            <[Obesity].[AVG(Adult Obesity (% of pop))]> obesity rate, <[Obesity].[ATTR(Above or Below?)]> the regional average (<[Obesity].[AVG(Regional Obesity Rate)]>)
                            
                            <[Obesity].[AVG(Food Insecure (% of pop))]> of people eat few fruits and vegetables
                            <[Obesity].[AVG(Physically Inactive (% of pop))]> of people do not exercise
                            <[Obesity].[AVG(Adult Smokers (% of pop))]> of people smoke

        View
            Rows:    [Obesity].[Latitude (generated)]
            Columns:    [Obesity].[Longitude (generated)]
            Filters:    [Obesity].[Exclusions (County,Region,State)]
            Slices:    [Obesity].[Region]
                       [Obesity].[State]
                       [Obesity].[Exclusions (County,Region,State)]

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                    [Obesity].[AVG(Adult Obesity (% of pop))]
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                        font-size:    8
                        color:    #353535

                Style:    legend-title-text

                    [Obesity].[AVG(Adult Obesity (% of pop))]
                        color:    Obesity Rate:

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                        map-style:    tableau-light-gray

                Style:    map-data-layer

                    Other
                        palette:    tableau-map-blue-green-light

                Style:    quick-filter

                    [Obesity].[Region]
                        title:    Select Region:

                    [Obesity].[State]
                        title:    Select State:

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                        border-width:    5
                        border-color:    #f0f0f0
                        background-color:    #f5f5f5
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                        background-color:    #f5f5f5
                        border-style:    none

                Style:    data-highlighter-title

                    [Obesity].[State]
                        title:    Select State:

    Worksheet:    Obesity Scatter Plot
        Visible:    Yes

        Used Datasources

            Datasource:    Obesity

                Discrete Dimension:    County
                    Remote Column:    [Extract].[County]

                Discrete Dimension:    Region
                    Remote Column:    [Extract].[Region]

                Discrete Dimension:    State
                    Remote Column:    [Extract].[State]

                Continous Measure:    Adult Obesity (% of pop)
                    Remote Column:    [Extract].[Adult Obesity (% of pop)]

                Continous Measure:    Adult Smokers (% of pop)
                    Remote Column:    [Extract].[Adult Smokers (% of pop)]

                Continous Measure:    Food Insecure (% of pop)
                    Remote Column:    [Extract].[Food Insecure (% of pop)]

                Continous Measure:    Physically Inactive (% of pop)
                    Remote Column:    [Extract].[Physically Inactive (% of pop)]

        Marks

            Mark:    All
                Type:    Circle
                Label:    <[Obesity].[County]> County, <[Obesity].[State]>
                          
                Tooltip:    <[Obesity].[County]> County, <[Obesity].[State]>
                            <[Obesity].[AVG(Adult Obesity (% of pop))]> of the population is obese
                            
                            <[Obesity].[AVG(Food Insecure (% of pop))]> of people eat few fruits and vegetables
                            <[Obesity].[AVG(Physically Inactive (% of pop))]> of people do not exercise
                            <[Obesity].[AVG(Adult Smokers (% of pop))]> of people smoke

            Mark:    [Obesity].[AVG(Food Insecure (% of pop))]
                Type:    Circle
                Label:    <[Obesity].[County]> County, <[Obesity].[State]>
                          
                Tooltip:    <[Obesity].[County]> County, <[Obesity].[State]>
                            <[Obesity].[AVG(Adult Obesity (% of pop))]> of the population is obese
                            
                            <[Obesity].[AVG(Food Insecure (% of pop))]> of people eat few fruits and vegetables
                            <[Obesity].[AVG(Physically Inactive (% of pop))]> of people do not exercise
                            <[Obesity].[AVG(Adult Smokers (% of pop))]> of people smoke

            Mark:    [Obesity].[AVG(Physically Inactive (% of pop))]
                Type:    Circle
                Label:    <[Obesity].[County]> County, <[Obesity].[State]>
                          
                Tooltip:    <[Obesity].[County]> County, <[Obesity].[State]>
                            <[Obesity].[AVG(Adult Obesity (% of pop))]> of the population is obese
                            
                            <[Obesity].[AVG(Food Insecure (% of pop))]> of people eat few fruits and vegetables
                            <[Obesity].[AVG(Physically Inactive (% of pop))]> of people do not exercise
                            <[Obesity].[AVG(Adult Smokers (% of pop))]> of people smoke

            Mark:    [Obesity].[AVG(Adult Smokers (% of pop))]
                Type:    Circle
                Label:    <[Obesity].[County]> County, <[Obesity].[State]>
                          
                Tooltip:    <[Obesity].[County]> County, <[Obesity].[State]>
                            <[Obesity].[AVG(Adult Obesity (% of pop))]> of the population is obese
                            
                            <[Obesity].[AVG(Food Insecure (% of pop))]> of people eat few fruits and vegetables
                            <[Obesity].[AVG(Physically Inactive (% of pop))]> of people do not exercise
                            <[Obesity].[AVG(Adult Smokers (% of pop))]> of people smoke

        View
            Rows:    [Obesity].[AVG(Adult Obesity (% of pop))]
            Columns:    [Obesity].[AVG(Food Insecure (% of pop))]
                        ([Obesity].[AVG(Physically Inactive (% of pop))]
                        [Obesity].[AVG(Adult Smokers (% of pop))]))
            Slices:    [Obesity].[Region]
                       [Obesity].[State]

            Styles

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                    [Obesity].[AVG(Food Insecure (% of pop))]
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                    [Obesity].[AVG(Physically Inactive (% of pop))]
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                        auto-subtitle:    true
                        height:    46

                    [Obesity].[AVG(Adult Smokers (% of pop))]
                        title:    Smokers
                        auto-subtitle:    true
                        height:    46

                    [Obesity].[AVG(Adult Obesity (% of pop))]
                        title:    Obesity Rate (% of pop)
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                        width:    40

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                        font-family:    Tableau Regular

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                Style:    map

                    Other
                        wrap:    true

                Style:    quick-filter

                    [Obesity].[State]
                        title:    Select State:

                    [Obesity].[Region]
                        title:    Select Region:

                    [Obesity].[County]
                        title:    Type in Name of County:

                    Other
                        color:    #00000000
                        border-style:    none

                Style:    quick-filter-title

                    Other
                        color:    #4f4f4f

                Style:    parameter-ctrl

                    Other
                        color:    #000000

    Worksheet:    S&P Forward Returns
        Visible:    Yes

        Used Datasources

            Datasource:    Economy

                Discrete Dimension:    Date
                    Remote Column:    [Extract].[Date]

                Discrete Dimension:    Decade
                    Remote Column:    [Extract].[Decade]

                Discrete Dimension:    Metric
                    Remote Column:    [Extract].[Metric]

                Continous Measure:    Value
                    Remote Column:    [Extract].[Value]

        Marks

            Mark:    All
                Type:    Shape
                Tooltip:    <[Economy].[YEAR(Date)]>
                            <[Economy].[Metric]>: <[Economy].[Value]>

        View
            Rows:    [Economy].[Metric]
            Columns:    [Economy].[Value]
            Filters:    [Economy].[Metric]
            Slices:    [Economy].[Metric]

            Styles

                Style:    axis

                    [Economy].[Value]

                    Other
                        tick-color:    #00000000

                Style:    header

                    [Economy].[Metric]
                        width:    172

                Style:    label

                    [Economy].[Value]
                        text-format:    p0%
                        font-size:    9

                    [Economy].[Metric]
                        font-size:    8

                Style:    table

                    Other
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                        break-on-special:    false
                        show-null-value-warning:    false

                Style:    worksheet

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                Style:    table-div

                    rows
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                    cols
                        line-visibility:    off

                Style:    legend

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                        background-color:    #ffffff

    Worksheet:    S&P Returns Vs Conditions
        Visible:    Yes

        Used Datasources

            Datasource:    Economy

                Discrete Dimension:    Date
                    Remote Column:    [Extract].[Date]

                Discrete Dimension:    Decade
                    Remote Column:    [Extract].[Decade]

                Discrete Dimension:    Metric
                    Remote Column:    [Extract].[Metric]

                Continous Measure:    Value
                    Remote Column:    [Extract].[Value]

        Marks

            Mark:    All
                Type:    Shape
                Tooltip:    <[Economy].[YEAR(Date)]>
                            <[Economy].[Metric]>: <[Economy].[AVG(Value)]>

        View
            Rows:    [Economy].[Metric]
            Columns:    [Economy].[AVG(Value)]
            Filters:    [Economy].[Metric]
            Manual Sorting:    [Economy].[Metric] ASC
            Slices:    [Economy].[Metric]

            Styles

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                    [Economy].[AVG(Value)]

                    Other
                        tick-color:    #00000000
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                Style:    header

                    [Economy].[Metric]
                        width:    172

                Style:    label

                    [Economy].[AVG(Value)]
                        text-format:    p0%
                        font-size:    9

                    [Economy].[Metric]
                        font-size:    8

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                Style:    header-div

                    rows
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    Worksheet:    S&P Returns by Decade
        Visible:    Yes

        Used Datasources

            Datasource:    Economy

                Discrete Dimension:    Date
                    Remote Column:    [Extract].[Date]

                Discrete Dimension:    Decade
                    Remote Column:    [Extract].[Decade]

                Discrete Dimension:    Metric
                    Remote Column:    [Extract].[Metric]

                Continous Measure:    Value
                    Remote Column:    [Extract].[Value]

        Marks

            Mark:    All
                Type:    Bar
                Tooltip:    <[Economy].[YEAR(Date)]>
                            <[Economy].[Metric]>: <[Economy].[AVG(Value)]>

        View
            Rows:    [Economy].[Metric]
                     [Economy].[AVG(Value)]
            Columns:    [Economy].[Decade]
                        [Economy].[YEAR(Date)]
            Filters:    [Economy].[Set 1]
                        [Economy].[Metric]
                        [Economy].[YEAR(Date)]
            Manual Sorting:    [Economy].[Decade] ASC
                               [Economy].[YEAR(Date)] ASC
            Slices:    [Economy].[Metric]
                       [Economy].[YEAR(Date)]
                       [Economy].[Set 1]

            Styles

                Style:    axis

                    [Economy].[AVG(Value)]
                        width:    52

                Style:    cell

                    [Economy].[AVG(Value)]
                        text-format:    p0%
                        text-orientation:    0
                        text-align:    auto
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                    [Economy].[Decade]
                        height:    21

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                Style:    field-labels

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                        font-weight:    bold

                Style:    label

                    [Economy].[YEAR(Date)]
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                    [Economy].[Metric]
                        display:    false

                    [Economy].[AVG(Value)]
                        text-format:    p0%
                        font-size:    9

                Style:    table

                    Other
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                Style:    worksheet

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                    [Economy].[Decade]
                        col-width:    50

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                Style:    legend-title

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                        font-size:    8
                        color:    #1b1b1b

                Style:    legend-title-text

                    [Economy].[AVG(Value)]
                        color:    Returns

                Style:    quick-filter

                    [Economy].[Decade]
                        title:    Filter Decade:

                    [Economy].[AVG(Value)]
                        title:    Return

                    [Economy].[YEAR(Date)]
                        title:    Year Range

                    [Economy].[Metric]
                        title:    Metric

                    Other
                        color:    #353535
                        background-color:    #f7f7f7
                        border-width:    4
                        border-style:    solid
                        border-color:    #f7f7f7
                        font-size:    9

                Style:    quick-filter-title

                    Other
                        color:    #353535

    Worksheet:    Scatter
        Visible:    Yes

        Used Datasources

            Datasource:    Global Temperatures

                Discrete Dimension:    Date

                Discrete Dimension:    Year
                    Remote Column:    [Extract].[Year]

                Discrete Measure:    Above Median?

                Continous Measure:    Median
                    Remote Column:    [Extract].[Median]

        Marks

            Mark:    All
                Type:    Line
                Tooltip:    <[Global Temperatures].[MONTH(Date)]> <[Global Temperatures].[YEAR(Date)]>
                            <[Global Temperatures].[SUM(Median)]> <[Global Temperatures].[Above Median?]>

        View
            Rows:    [Global Temperatures].[SUM(Median)]
            Columns:    [Global Temperatures].[ATTR(Date)]
            Slices:    [Global Temperatures].[MONTH(Date)]

            Styles

                Style:    axis

                    [Global Temperatures].[SUM(Median)]
                        title:    Difference from median temperature (°C)
                        auto-subtitle:    true
                        width:    88

                    [Global Temperatures].[MONTH(Date)]
                        height:    28

                    [Global Temperatures].[ATTR(Date)]
                        height:    26
                        auto-subtitle:    true

                Style:    header

                    Other
                        border-style:    none

                Style:    label

                    [Global Temperatures].[SUM(Median)]
                        color:    #898989

                Style:    pane

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                Style:    table

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                        text-align:    center

                Style:    legend-title-text

                    [Global Temperatures].[SUM(Median)]
                        color:    Difference from Median (°C) 

    Worksheet:    Stocks
        Visible:    No

        Used Datasources

            Datasource:    Stocks

                Discrete Dimension:    Company
                    Remote Column:    [Extract].[Company]

                Discrete Dimension:    Date
                    Remote Column:    [Extract].[Date]

                Continous Measure:    Close
                    Remote Column:    [Extract].[Close]

                Continous Measure:    Volume
                    Remote Column:    [Extract].[Volume]

        Marks

            Mark:    All
                Type:    Automatic
                Tooltip:    <[Stocks].[Company]> on <[Stocks].[WEEK(Date)]>
                            Annual Return: <[Stocks].[AVG(Close)]>
                            Volume: <[Stocks].[AVG(Volume)]>

            Mark:    [Stocks].[AVG(Close)]
                Type:    Automatic
                Tooltip:    <[Stocks].[Company]> on <[Stocks].[WEEK(Date)]>
                            Annual Return: <[Stocks].[AVG(Close)]>
                            Volume: <[Stocks].[AVG(Volume)]>

            Mark:    [Stocks].[AVG(Volume)]
                Type:    Bar
                Tooltip:    <[Stocks].[Company]> on <[Stocks].[WEEK(Date)]>
                            Annual Return: <[Stocks].[AVG(Close)]>
                            Volume: <[Stocks].[AVG(Volume)]>

        View
            Rows:    [Stocks].[AVG(Close)]
                     [Stocks].[AVG(Volume)]
            Columns:    [Stocks].[YEAR(Date)]
                        [Stocks].[WEEK(Date)]
            Filters:    [Stocks].[Exclusions (Company,WEEK(Date),YEAR(Date))]
                        [Stocks].[Company]
                        [Stocks].[YEAR(Date)]
            Manual Sorting:    [Stocks].[Company] ASC
            Slices:    [Stocks].[Company]
                       [Stocks].[YEAR(Date)]
                       [Stocks].[Exclusions (Company,WEEK(Date),YEAR(Date))]

            Styles

                Style:    axis

                    [Stocks].[AVG(Close)]
                        title:    Annual Return 
                        auto-subtitle:    true

                    [Stocks].[WEEK(Date)]
                        auto-subtitle:    true

                Style:    worksheet

                    cols
                        display-field-labels:    false

                Style:    legend

                    Other
                        font-size:    9
                        background-color:    #00000000
                        color:    #353535

                Style:    legend-title

                    Other
                        color:    #353535

                Style:    quick-filter

                    [Stocks].[Company]
                        title:    Select Company:

                    Other
                        font-weight:    normal
                        font-size:    9
                        background-color:    #ffffff
                        color:    #353535

                    [Stocks].[WEEK(Date)]
                        title:    Select Date:

                    [Stocks].[YEAR(Date)]
                        title:    Select Year:

                Style:    quick-filter-title

                    Other
                        color:    #353535
                        font-weight:    bold