Sentence examples for organize data for from inspiring English sources

She goes in on weekends to help organize data for the school's state report card.

Heating degrees (HD) and cooling degrees (CD) are re-calculated, rather than using a fixed optimum temperature, using local conditions to organize data for each location or management area (MA).

For some complex traits, efforts have been made to integrate and organize data for better utilizing prior research findings, such as a comprehensive and regularly updated Schizophrenia Gene database (Schizophrenia Research Forum, http://www.szgene.org/), an Ethanol Related Gene Resource (ERGR) [20], and a review on the Human Obesity Gene Map for diabetes [21].

The life cycle stages were used to organize data for software calculations.

The transcripts were then imported into NVivo 7 (QSR International, http://www.qsrinternational.com) and the codes assigned by the two reviewers applied to organize data for further analysis.

We briefly discuss a straightforward way to organize data for analysis, before performing a brief analysis of a classroom network along three avenues: descriptive analysis of the network, exploration of network evolution, and analysis of network position as a predictor of individual outcomes.

Ms. Stabb said: "If your strength is organizing data, for example, and you know there is all this data your boss has but hasn't organized, create a spreadsheet or table that makes it easier for the department to access the information, and then offer to lead a brown-bag lunch presentation to explain how to read it.

HM organized data for analysis and verified data for accuracy.

This paper argues that relational databases are excellent tools for veterinary research and animal production; provides a small example to introduce basic database concepts; and points out some concerns that must be addressed when organizing data for research purposes.

Custom scripts written in Perl and Python were used together with Samtools [ 56] and Bedtools [ 57] to process and organize data files for downstream analysis.

There are three obvious areas for improvement: (i) reduce data set sizes without any loss of information (also reducing long-term data storage costs), (ii) eliminate the need for sequential access and (iii) organize data to allow for rapid analysis.