The descriptor concepts mentioned in point 1 can be attached at various levels in this hierarchy.
#Tableau reader 8.0.0 series#
Packaging structure: Statistical data can be grouped together at the following levels: the observation level (the measurement of some phenomenon) the series level (the measurement of some phenomenon over time, usually at regular intervals) the group level (a group of series – a well-known example being the sibling group, a set of series which are identical, except for the fact that they are measured with different frequencies) and the dataset level (made up of several groups, to cover a specific statistical domain for instance).For example, on its own the figure 1.3312 is pretty meaningless, but if we know that this is an exchange rate for the CDN dollar against the US dollar on November 19th, 2019, it starts to make more sense.
#Tableau reader 8.0.0 iso#
The first version of the standard is an ISO standard (ISO/Technical Specification 17369:2005). The Statistical Data and Metadata Exchange initiative is sponsored by seven institutions (the Bank for International Settlements (BIS), the European Central Bank (ECB), Eurostat, the International Monetary Fund (IMF), the Organisation for Economic Co-operation and Development (OECD), the United Nations (UN) and the World Bank) to foster standards for the exchange of statistical information. In these cases the user must have previously noted the CODR cube identifier or vector identifier from the Statistics Canada website. It is possible to quickly extract data using the CODR cube identifier and vectors. structural metadata describing the characteristics of the series.For example, 50 industries * 13 provinces/territories = 650 different series/vectors in CODR. An indicator/cube is broken down into as many elementary series as there are possible crossover of variables/dimensions. The time series available through Statistics Canada's Common Output Data Repository (CODR) are presented in a form of Canadian indicators/cubes (short-term, structural, specific, etc.) usually representing a set of series/vectors. This service is accessible using an HTTP request. The Statistics Canada SDMX REST web services provide access to the time series made available on the Statistics Canada's website in a structured form. SDMX Data (vector) Web Service - Examples.
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