yes_factor_overview_plotter: factor_overview_plotter with default foptions set to "Yes"...
In IskanderBlue/morseldash: Makes Building Dashboards for Morsel Easier

factor_overview_plotter with default foptions set to "Yes" rather than aware_options.

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yes_factor_overview_plotter(x, title_string, warning, demo_one, demo_two,
  foptions = c("Yes"), break_values = c(0, 10, 30, 1000),
  reversed_values = FALSE)

`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.
`foptions`	vector, strings identifying which factors/strings in target_column count as \'positive\'.
`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) ).