> When you refer to missing data, are you referring to data that is not on a
> rectangular grid, or data that sometimes exists and sometimes doesn't exist?
Missing data is used to indicate an unknown value.
These can be caused by sensor failures and by
computational failures. For example, a dataset may
list temperatures for US cities at a certain time,
but if communication is disrupted when Milwaukee's
temperature is being transmitted, then that value
will be marked missing rather than say 70 degrees.
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