num_overview_plotter: For making faceted plots with numeric data (eg. 1 through 5).

In IskanderBlue/morseldash: Makes Building Dashboards for Morsel Easier

Description

For making faceted plots with numeric data (eg. 1 through 5).

Usage

num_overview_plotter(x, title_string, warning, demo_one, demo_two,
  break_values = c(0, 10, 30, 1000), reversed_values = FALSE)

Arguments

x	dataframe, column of interest named \'target_column\'.
title_string	string, title of plot.
warning	numeric, cutoff between \'positive\' and \'negative\' values.
demo_one	string, (numeric probably works too?) identifies 1st demographic column in x to filter by.
demo_two	string, (numeric probably works too?) identifies 2nd demographic column in x to filter by.
break_values	vectors, numeric values sample sizes into appropriate categories. Ideally statistically relevant.
reversed_values	logical, indicates whether to flip values (e.g. y %>% mutate(Percent = 100 - Percent) ).

See Also

factor_overview_plotter

IskanderBlue/morseldash documentation built on Oct. 30, 2019, 7:24 p.m.