"appearance of data" is a correct and usable phrase in written English.
You can use it when referring to how data is presented or presented in a certain way. For example, "The appearance of the data varied depending on the graphical representation used."
These preferences changes the appearance of data plotted using the following commands: plot_data, plot_bkg, plot_ratio, and the "fit" versions of these commands, such as plot_fit, plot_bkg_fit, and plot_fit_delchi.
The ability to analyze general linear models was also added as was the FORMAT procedure, which allowed developers to customize the appearance of data.
In general, the appearance of data clusters corresponding to integer copy numbers is a strong indicator of CNV measurement accuracy and a useful basis for quality control of measurement data (24– 24).
To reduce the variability in measured ES, the proposed method changes the appearance of data obtained with various reconstruction kernels so that it will have similar characteristics as a chosen reference reconstruction.
(The term "white line" is used in X-ray absorption spectroscopy to describe a peak occurring more or less at the top of the edge. It comes from the appearance of data recorded by dispersion of transmitted X-rays across a photographic plate in early measurements).
Map computation strategies deserve some attention, to minimize the delay between acquiring new data and appearance of those data in subsequent maps.
However, elaboration of spin-off's accessory to a particular category (with the appearance of reporting data in the database FIRA-PRO or information in the public domain) would adjust the value of the variable characterizing the density of social ties in the region.
Inductive reasoning is common in science, where data are collected and tentative models are developed to describe and predict future behaviour until the appearance of anomalous data forces the model to be revised.
During the training stage, the system automatically learns to associate the appearance of radar data with class labels.
This constantly changes the aspect ratio and hence the visual appearance of the data, and is likely to impede the development of pattern recognition skills by clinicians and patients.
