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These data are highly informative, indicating where there are barriers to business creation and development.
Not only is Mr Greene's primary affiliation (and publisher) the conservative Manhattan Institute — in addition to the University of Arkansas — but his data are highly controversial.
However, the data are highly fragmented, limited, or severely lacking.
Efforts for the observations and compilation of the data are highly appreciated.
In qualitative research, analysis and collection of data are highly integrated activities.
Such data are highly useful to understand the sand production behavior.
Conversely, for social media data, data are highly unstructured, and often not accompanied by metadata.
Generally, when analyzed versus porosity, formation resistivity factor (F) data are highly scattered in carbonate reservoirs.
Since the deformation data are highly correlated spatially, such a reduction does not lead to losing significant information.
Therefore, there is evidence that the data are highly over-dispersed even after conditioning on the regressors.
Precision-recall (PR) curve is an alternative to ROC curves, and can be used if data are highly skewed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com