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We categorised the cities in the ranking into four distinct groups: High potential: cities showing a very fast-paced rate of positive change, although they depart from a relatively low position.
For each indicator, we categorised the data by year during preprocessing to facilitate parallelisation by the MapReduce framework.
On the one hand, we categorised the organisation of classroom interaction (from the German term "Sozialform") into student-centred learning and teacher instruction.
When we found some non-linear relationship between covariate and outcome we categorised the covariate.
We categorised the relevant outcomes as primary or secondary.
We categorised the data collection period into four different seasons.
We categorised the patients into following three categories.
We categorised the average annual hospital volume into quarters.
We categorised the consultants by specialty and sex.
We categorised the remaining deaths (6657; 29.1%) as other causes of mortality.
We categorised the products according to progestogen type, oestrogen dose, and length of use.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com