Sentence examples for organizing data for from inspiring English sources

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.

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.

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].

HM organized data for analysis and verified data for accuracy.

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.

Need to organize data for your taxes or for class?

For statisticians, however, R is particularly useful because it contains a number of built-in mechanisms for organizing data, running calculations on the information and creating graphical representations of data sets.