Data can be aggregated, disaggregated, transformed and displayed in order to reveal patterns, relationships and trends. Different ways of comparing data can be identified—against peers, against standards, against self—and of delving more deeply—through protocol analysis, reason analysis, error ...
It can reveal inequalities between different sub-categories that aggregated data cannot. Most disaggregated data is numerical, but it is possible to have categorical disaggregated data as well.Disaggregated Data has either been collected from a variety of sources or through multiple measures, or was ...
Point of View: It's Personal Plural and Possessive Names: A Guide What's the difference between 'fascism' and 'socialism'? More Commonly Misspelled Words Words You Always Have to Look Up Popular in Wordplay See All 8 Words with Fascinating Histories ...
This field indicates if the segment has been used to compute the aggregated polarity of its parent. Text sentence_list.segment_list.text string Text of the segment sentimented_concept_list sentence_list.sentimented_concept_list array of SentimentConceptListResponse This is a list of the conce...
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The reason I think this is a problem is that it exaggerates the magnitude of the signal in the aggregated CPU Time plot. In my earlier example, there was a clear section of the CPU Time plot showing 1200% MPI "Busy Wait Time" on a single 56-core node. Thi...
Hi Correct me if I am wrong, but it seams that ta4j considers a tick to have a time span, eg a tick of 1 minute in length - is this correct? A Tick contains aggregated data of a security/commodity during a time period. Usually, especiall...
Here the key is to realize that many of our networks have “pooling” layers where low-level details are aggregated across a region. This way of treating the data gives rise to an implicit assumption about how the information is structured. And that is that patterns of a given size are ...
it remains just as easy to identify an individual in a pseudonymized dataset as in the original one. Additional precautions—such as removing or generalizing attributes, or deleting original data, or at least reducing it to a highly aggregated state—must be implemented to ensure a dataset is an...
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