lazy.plot: Lazy ggplot plotting
In XanderHorn/lazy: Automated data pre-processing and machine learning

Quickly produces specifc plots using the ggplot library. This function is exported but its main purpose is to be used in the eda function.

1 2	lazy.plot(data, x = NULL, y = NULL, type = "histogram", transparency = 1, theme = 1)

`data`	[required \| data.frame] Dataset containing predictor and / or target features.
`x`	[optional \| character \| default=NULL] A vector of feature names present in the dataset used to predict the target feature. If NULL then all columns in the dataset is used.
`y`	[required \| character \| default=NULL] The name of the target feature contained in the dataset.
`type`	[optional \| character \| default="histogram"] The type of plot to be produced. For numeric feature types histogram, density, boxplot and violin are available. For categorical bar and stackedbar are available.
`transparency`	[optional \| numeric \| default = 1] Transparency applied to plots.
`theme`	[optional \| numeric \| default=1] Color theme applied to plot, options range from 1 to 4.