Sentence examples for restructure data from inspiring English sources

We partner directly with a set of pilot states to assess data quality, restructure data, examine caseload dynamics and churn, and explore specific policy questions around issues such as employment mandates for food stamp recipients.

To cope with this suboptimal data structure comprising many variables and few observations, the standard methods can be modified to restructure data either by performing feature selection or introducing artificial variables.

This restructured data can be used to perform sensor-based calculations accurately.

If a user is allowed to work with the data in a familiar way, they can spend more time performing analysis tasks and less time restructuring data, thus increasing productivity and reducing the risks associated with a series of data modification cycles.

More specifically, Iris uses a powerful data integration and extraction suite and pipelines restructured data into a machine learning model that should, in theory, enable its healthcare provider customers the ability to better understand patient health.

To determine a significant difference between the recovery curves, the area under a curve (AUC) was analyzed by first restructuring data in SPSS 14.0 followed by computing the AUC in NCSS 2007.

The methodology used to restructure antimicrobial data was validated by comparing the sensitivity profiles prepared by military treatment facilities to the NMCPHC sensitivity profiles from the restructured data.

A 5-day incubation period, consistent with a previous gamma distribution parameter estimation exercise (Leung et al., in press), was used to restructure the data for a time-series study.

FV and EN restructured the data and performed the analyses together with the statistician, DU.

We chose these two methods for the following reasons: (1) The logical method is simple, rapid and accurate, which is very suitable for our restructuring binary data.

Once a basic structure is identified, TA aids researchers in restructuring the data to develop an explanatory framework according to salient themes or aspects of the research topic that is consistent with the text [ 25, 27].