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Data transformation 3.
Data transformation is a conventional method to decrease skewness, but there are some disadvantages.
Data transformation would be needed for skewed outcome variables.
Data transformation and quality filtering were as in Morais et al. [ 9, 10].
Data transformation and standardization were performed using scripts written in the R statistical programming language.
It applies g-log transform (generalised log transformation) for data transformation to stabilise variance [ 18, 19].
"The whole smartphone data transformation is a window that will last one or two more years.
(a) Before data transformation and (b) after log data transformation.
Data ingestion with data transformation and without data transformation.
Intermediate data transformation using a MapReduce job.
Clustering is another utilized data transformation method.
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