outlierPlot: Outlier detection plot

In analysisPipelines: Compose Interoperable Analysis Pipelines & Put Them in Production

Description

Outlier detection plot

Usage

outlierPlot(data, method = "iqr", columnName, cutoffValue = 0.05,
  priColor = "blue", optionalPlots = 0)

Arguments

data	the dataframe that needs to be loaded
method	the method on which outliers are to be identified
columnName	the name of column for which the outliers are identified
cutoffValue	the cut off value to define the threshold for outliers
priColor	the primary color for the plots
optionalPlots	A Flag for optional plots

Details

Outlier are to be identified on the selected column from the dataframe

Value

Outliers plot object

See Also

Other Package EDA Utilites functions: CheckColumnType, bivarPlots, correlationMatPlot, getDatatype, ignoreCols, multiVarOutlierPlot, univarCatDistPlots

Examples

## Not run: 
outlierPlot(data = iris, columnName = "Sepal.Length")

## End(Not run)

Example output

Loading required package: magrittr
Loading required package: pipeR
Creating a new generic function for ‘univarCatDistPlots’ in the global environment
INFO [2021-03-05 16:13:00] ||  Function 'univarCatDistPlots' was registered successfully  ||
Creating a new generic function for ‘outlierPlot’ in the global environment
INFO [2021-03-05 16:13:01] ||  Function 'outlierPlot' was registered successfully  ||
Creating a new generic function for ‘multiVarOutlierPlot’ in the global environment
INFO [2021-03-05 16:13:01] ||  Function 'multiVarOutlierPlot' was registered successfully  ||
Creating a new generic function for ‘ignoreCols’ in the global environment
INFO [2021-03-05 16:13:01] ||  Function 'ignoreCols' was registered successfully  ||
Creating a new generic function for ‘getFeaturesForPyClassification’ in the global environment
INFO [2021-03-05 16:13:01] ||  Function 'getFeaturesForPyClassification' was registered successfully  ||
Creating a new generic function for ‘getTargetForPyClassification’ in the global environment
INFO [2021-03-05 16:13:01] ||  Function 'getTargetForPyClassification' was registered successfully  ||
INFO [2021-03-05 16:13:01] ||  Function 'castKafkaStreamAsString_sparkSS' was registered successfully  ||
INFO [2021-03-05 16:13:01] ||  Function 'convertKafkaValueFromJson_sparkSS' was registered successfully  ||
INFO [2021-03-05 16:13:01] ||  Predefined utility functions registered  ||

Attaching package: ‘analysisPipelines’

The following objects are masked _by_ ‘.GlobalEnv’:

    getFeaturesForPyClassification, getTargetForPyClassification,
    ignoreCols, multiVarOutlierPlot, outlierPlot, univarCatDistPlots

analysisPipelines documentation built on July 1, 2020, 7:09 p.m.