AEDA: Automated Exploratory Data Analysis

Description Usage Arguments Value Examples

Creates a Density plot of a numerical feature or all numerical features of a dataset .

1 2	plotDens(data, target, col = NULL, show.plot = FALSE, alpha = 0.4, colour = "black", ...)

`data`	[`data.frame`] Data.
`target`	[`character(1)`] Target column. If no target is available in the dataset please insert `NULL`
`col`	[`character(1)` \| `integer(1)`] Selected feature from `data`. If all numerical features should be printed insert `NULL`. Default value is `NULL`
`show.plot`	[`logical(1)`] Logical whether the ggplot(s) should be displayed or not when executing this function. Default is `FALSE`
`alpha`	[`numeric(1)`] Default is `alpha = 0.4`
`colour`	[`character(1)`] Default is `colour = "black"`
`...`	other arguments to be passed to geom_density.

A ggplot2 object. Print it to plot it. [WIP if col is null]

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 data("Boston", package = "MASS")
 gghistplot = plotDens(Boston, target = "medv", col = "age")
 gghistAllplot = plotDens(Boston, target = "medv", col = NULL)