universe: Simple univariate plots.

In DexGroves/universe: Simple Univariate Plotting

Description

Bucket data and draw univariate plots in plotly. Univariate plots show the variation of one or more variable versus one covariate. universe will also draw a neat exposure histogram.

Usage

universe(input_df, plot_cols, by_col, buckets = 10, cut_type = "even",
  scale = "uniform", xtitle = by_col, ytitle = "", backend = "plotly")

Arguments

input_df	input data.frame or data.table
plot_cols	string vector naming one or more columns in input_df to plot against by_col
by_col	string naming the x-variable against which the plot_cols are measured
buckets	number of buckets into which to attempt to reduce the data. Defaults to 10.
cut_type	either "even" or "quantile". Defaults to "even". "even" Cut data into evenly spaced buckets from the min to the max of by_col "quantile" Cut data by quantile, in which each bucket will have approximately the same weight.
scale	either "uniform" or "cartesian". Defaults to "uniform". "uniform" Distribute data buckets evenly. Represent weight with a bar chart. "cartesian" Distribute data buckets according to the mean of their by_var. Represent weight with a histogram.

Details

Operates in two parts; bucketing the data into discrete bins (either evenly in by_col or evenly by quantile in by_col), then drawing the variation of the plot_cols vs by_col with a histogram of by_col's exposure.

Value

plotly object.

DexGroves/universe documentation built on May 6, 2019, 2:13 p.m.