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© Metadata Technology ESCWA SDMX Workshop Session: Data Formats
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© Metadata Technology What is Data? Results of Measurements Country: UK Unemployed: 13million Year: 2010 Country: France Unemployed: 5million Year: 1982 Country: Australia State : Perth Coastline (Km): 12500
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© Metadata Technology What is a DataSet? An organised collection of Data KEY Values KEY Values Data Set Think of a Dataset as an organised container for exchanging Data
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© Metadata Technology How is the Data organised? Use case: House Price Data
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© Metadata Technology Average House Price House Type –Terrace –Semi Detached –Detached County (location) –Surrey –Hampshire Number Bedrooms Time Average Price (measure) Code List Dimensions (Concepts)
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© Metadata Technology Data House TypeCountyBedroomsPriceTime TerraceSurrey2130,0002008 TerraceSurrey2150,0002009 TerraceSurrey2120,0002010 TerraceHampshire3170,0002009 TerraceHampshire2200,0002008 DetachedHampshire3250,0002008 DetachedHampshire2210,0002009 DetachedSurrey2300,0002008 Semi-DetSurrey3250,0002008 Semi-DetSurrey2220,0002009 Semi-DetHampshire3250,0002009
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© Metadata Technology House Type Terrace County Surrey Bedrooms 2 KEY 2008 130,000 2009 150,000 2010 220,000 VALUES Time Series View House Type Detached County Hampshire Bedrooms 2 2008 200,000 2009 210,000 VALUES House Type Semi-Det County Surrey Bedrooms 3 2008 210,000 2009 220,000 VALUES
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© Metadata Technology Pivot on County House Type Terrace Surrey 130,000 Bedrooms 2 KEY Time 2008 Hampshire 200,000 VALUES
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© Metadata Technology Pivot on House Type County Surrey Terrace 130,000 Bedrooms 2 KEY Time 2008 Detached 300,000 VALUES Semi 220,000
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© Metadata Technology Q: What is the Key? A: Anything except the Observation Value and a pivot dimension House TypeCountyBedroomsTimePrice TerraceSurrey22008130,000 TerraceSurrey22009150,000 TerraceSurrey22010120,000 TerraceHampshire22008200,000 TerraceHampshire32008250,000 DetachedHampshire32009170,000 DetachedHampshire22009210,000 DetachedSurrey22008300,000 Semi-DetSurrey32008250,000 Semi-DetSurrey22009220,000 Semi-DetHampshire32009250,000
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© Metadata Technology Pivot on House Type House TypeCountyBedroomsTimePrice TerraceSurrey22008130,000 TerraceSurrey22009150,000 TerraceSurrey22010120,000 TerraceHampshire22008200,000 TerraceHampshire32008250,000 DetachedHampshire32009170,000 DetachedHampshire22009210,000 DetachedSurrey22008300,000 Semi-DetSurrey32008250,000 Semi-DetSurrey22009220,000 Semi-DetHampshire32009250,000 ValuesKey
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© Metadata Technology Pivot on Country House TypeCountyBedroomsTimePrice TerraceSurrey22008130,000 TerraceSurrey22009150,000 TerraceSurrey22010120,000 TerraceHampshire22008200,000 TerraceHampshire32008250,000 DetachedHampshire32009170,000 DetachedHampshire22009210,000 DetachedSurrey22008300,000 Semi-DetSurrey32008250,000 Semi-DetSurrey22009220,000 Semi-DetHampshire32009250,000 ValuesKey
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© Metadata Technology Add new Dimension House Type CountyBedBathTimePrice TerraceSurrey222008130,000 TerraceSurrey222009150,000 TerraceSurrey222010120,000 TerraceHampshire222008200,000 TerraceHampshire332008250,000 DetachedHampshire332009170,000 ValuesKey
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© Metadata Technology DataSet and SDMX Schema
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© Metadata Technology SDMX Schema for Data SDMX Has 2 Widely Used Formats Data The way the XML is structured Matt 28 2. COMPACT 1. GENERIC
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© Metadata Technology Generic Data KEY VALUES
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© Metadata Technology Compact Data KEY VALUES DATASET KEY VALUE KEY
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© Metadata Technology GENERIC DATA – ONE SERIES COMPACT DATA – ONE SERIES
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© Metadata Technology COMPACT DATA – 1 Series GENERIC DATA – 1 Series SERIES ATTRIBUTES
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© Metadata Technology OBSERVATION ATTRIBUTES GENERIC DATA – 1 Observation COMPACT DATA – 3 Observations
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© Metadata Technology Exercise Generate Schema Open Up the SDMX Tool Suite Drag DSD File onto Tool Suite Generate a Compact Schema
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© Metadata Technology Web Services
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