The phrase "a small proportion of data" is correct and usable in written English.
It can be used when discussing the quantity or percentage of data that is being referenced in a particular context, often in research or analysis.
Example: "In our study, we found that a small proportion of data was missing, which could affect the overall results."
Alternatives: "a minor fraction of data" or "a limited amount of data".
The checklist was revised after a preliminary coding drawing upon the established checklist with a small proportion of data.
A small part of data fall into the circles, indicating that a small proportion of data belong to the tailing region of the distributions in (b).
A small proportion of data might be provided in a more suitable structured form such as a CIF file [2] containing crystallographic information, but in general the media type [7] for the data is not declared and is not discoverable.
However, manual annotation is conducted by experts and is a highly time-consuming task (in [7] is described as 'enormous', resulting on annotations of 'only a small proportion of data'), justifying their general lack.
*For some variables a small proportion of data was missing for a maximum of 23 participants.
*For some variables a small proportion of data was missing (between 1 and 3 cases).
For example, the inclusion of data from cancer patients as a small proportion of the data within the general population rates used to generate the expected numbers of events.
Furthermore, as the number of variables increases, even a small proportion of missing data for each variable can lead to severely depleted data for CCA and substantial loss of power.
For many types of omics assays assumption of absence of missing data could be (almost) true, and a small proportion of missing data could be imputed (in the simplest case – replaced with average value) with little negative effect onto statistical properties of the method.
Furthermore, large amounts of data are produced when analyzing complete genomes, although often only a small proportion of these data are relevant for the study question; this is particularly true when screening for drug resistance determinants.
Only a small proportion of these data are of interest to the operator, so some post-processing is required to extract and display relevant data.
