An extension or projection beyond the limit of the data is extrapolation.
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Both, interpolation and extrapolation are used to predict, or estimate, the value of one variable when the value (or values) of other variable (or variables) is known. This is done by extending evaluating the underlying function. For interpolation, the point in question is within the domain of the observed values (there are observations for greater and for smaller values of the variables) wheres for extrapolation the point in question is outside the domain.
The first step would be to determine the nature of the relationship between the variables using the graph and any other relevant informaton. The next stage would be to use regression techniques to calculate a curve of best fit to the observations. This curve may be extended beyond the data but, the further the distance from the actual observations, the greater the likely error in the extrapolation
Data formats: It is formating all data file from pcs.whatever it is not use.suppose when data is full,and some data we want to delete it.. Data collection: It is the collection of new data file.when new data is collecting..
Metadata is "data about data". There are two "metadata types;" structural metadata, about the design and specification of data structures or "data about the containers of data"; and descriptive metadata about individual instances of application data or the data content.