BinningAnalysis

For each chosen column (parameter) a reference population is used to estimate n different bins. The bins are based on the quantiles of the data. Then all data is grouped by the aggregation label (e.g. well) and the data of each group is applied to the bins. The percentage of data falling into a certain bin is calculated and used to estimate a z-score. The result contains a z-score, a percentage and an absolute count for each bin of each aggregation group and each parameter. It should help to detect minor distribution changes which would not be caught with a mean or median per aggregation group of the object data.

Options

Aggregate object data by

object data of each subgroup will be applied to the bins (e.g. well)

Column selection

the data of the selected columns will be used for the binning analysis (e.g. different parameters)

Number of bins

the reference population is divided into the given number of bins

Column with reference label

the chosen column contains the label to describe the reference population. If all data should be used as reference population, the option can be set to "None"

Subset by

if a reference population should be used, the chosen label defines this subpopulation

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