Function reference • whereiation

Plots Visualize variation in the dependent variable or representation
`plot_deltas()`	Visualize difference from avg. by factor (lollipop)
`plot_expected_proportions()`	Visualize variation between the expected & actual percentages
`plot_group_split()`	Visualize variation between two groups
`plot_spread()` `plot_spread_single_obs()` `plot_spread_interactive()`	Visualize spread of avg. values among all factors for all variables
Data Summaries There are some helper functions to prepare data frames for use with plots
`summarize_factor_extremes()`	Identify the factors with the most extreme averages for each field
`summarize_factors_all_fields()`	Calculate the importance of ALL factors in a ALL fields
Other Functions that do something else or in-progress
`refactor_columns()`	Convert all fields to factors
Data Built-in data sets
`cancer_data`	Cancer Data
`employee_attrition`	Employee Attrition (IBM Watson)

Reference