Sentence examples for thousands of data sets from inspiring English sources
The United States government has opened up thousands of data sets to the public.
The bet here is that the thousands (and I do mean thousands) of data sets that HHS maintains could actually support some useful applications - applications we can't even imagine yet - in the same vein that the weather data produced by the National Weather Service generates so many services and businesses.
Our comparison study, based on these simulation tools, involves thousands of data sets and consists of three steps, as graphically illustrated in Figure 1.
Though hundreds or thousands of data sets are produced with resampling, users generally tend to examine the numerical rather than the graphical summaries.
Therefore, minimum and maximum thickness of AF section was estimated by taking, respectively, 1st and 99th percentile of data set corresponding to all optical sections (15 30 sections, 3 5 stacks) taken at the same experimental conditions.
The percentage of data sets for which the covariate effect was significant was calculated for each scenario and is reported in the 7th column of Table I.
As seen in the above table, the validation data (14th, 15th, and 16th data sets) are in the first and second clusters.
For the analysis of data set of 1st and 2nd codon position, the same settings were implemented in the ML and Bayesian inference as described above except for the use of a 2-partition evolutionary model (i.e., 1st, and 2nd codon positions).
That data is a very different types of data set.
In this approach, the 5th through 95th percentiles of two data sets are plotted against one another; identical distributions would produce plots with points that fall on a line defined by y = x.
P* are the nominal (true) values, P(1) the values based on the 1st data set, P(1)+(2) based on the 1st, 2nd data sets together, P(1)+(2)+(3) based on the 1st, 2nd, and 3rd data sets, P(1)+…+(4) based on the 1st to 4th data sets, and P(1)+…+(5) based on the 5 data sets, respectively.
