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The old methods of sorting and categorizing the data are too slow, researchers told Nature.
An initial step was identifying essential elements, by conceptualizing, examining, and categorizing the data.
This process involved reviewing, comparing, labeling, and categorizing the data, and then drawing connections between categories according to a coding strategy that involved conditions, context, interactions and consequences.
Non-linear effects were explored by categorizing the data.
In addition to descriptive and bivariate analyses, ordinal logistic regression was performed after categorizing the data.
Furthermore, the structures of the words/phrases were analyzed to identify a key word that helped in categorizing the data.
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Information on 3,400 people and groups was transferred to software that stores, searches and categorizes the data.
We categorized the data sources based on their purposes and uses, geographic distribution, and other characteristics.
A dummy variable was incorporated in the model to categorize the data for tissue and tumor.
Secure Islands categorizes the data and then applies the appropriate doses of encryption and DRM.
The researchers categorize the data into four developmental phases with evident trends.
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