In general, migration flow data is generally less reliable than stock data and its coverage is patchier.
For example, pollen data is generally very limited, so major generalizations are often made about the prevalence of pollen in any given area.
Similar results were reported in patients with various chronic diseases, and this data is generally attributed to the ability to generate strategies for dealing with the condition [ 21].
Agreement with experimental data is generally satisfactory.
But for now, energy data is generally not open and actionable.
This type of data is generally analyzed on a computer.
A good agreement between the predictions and experimental data is generally observed.
However, the uncertainty exhibited in wind power data is generally unacceptably large.
The agreement with the experimental data is generally acceptable within the given experimental uncertainty.
Consensual data is generally more objective but it does not completely eliminate subjectivity – nor does it abolish subjective preferences that fail to conform to it.
So the knowledge that comes from big data is generally an inference that two things are related, not knowledge of why they might be related.
