Data analysis
a data analysis and data technology, applied in the field of data processing, can solve the problems of not leveraging information, analyzing large, complex sets of data, and deconvoluting the response associated with a sample,
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[0009]Various aspects provide for receiving a multidimensional data set and processing or analyzing the set to determine traits, trends, or characteristic features associated with the data. Typical data sets may include a plurality of samples, often with associated key / value pairs.
[0010]Table 1 is an illustrative example data set, and shows data associated with 11 samples, identified with, a sample identification S(i), or Sid, taking a value from 1 to 11. Each Sid includes a plurality of events. A sample may correspond to a substance that was measured using measurement equipment, and events may correspond to values associated with the measurement. A sample may also correspond to a security, financial instrument, person, clinical result, or any other quantified entity. In some embodiments, “sample” may correspond to anything from or within which a user wishes to identify a trait. A first sample may be a set of second samples.
[0011]A trait may be a characteristic of one or more sample...
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