bivarPlots: Bi-Variate Plot

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

Description

Bi-Variate Plot

Usage

bivarPlots(dataset, select_var_name_1, select_var_name_2,
  priColor = "blue", secColor = "black")

Arguments

dataset	the dataframe that needs to be loaded
select_var_name_1	the name of first column on which the plot needs to be generated
select_var_name_2	the name of second column on which the plot needs to be generated
priColor	the primary color for the plots
secColor	A secondary color for the plots

Details

A bivariate distribution graph on the selected columns from the dataframe.Selected two columns are on two axis' and a plot is generated

Value

Bivariate plot

See Also

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

Examples

bivarPlots(dataset = iris, select_var_name_1 = "Sepal.Length",
 select_var_name_2 = "Sepal.Width")

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