Reference

Visualise the whole dataframe, class, and missing data Tools for creating preliminary visualisations to “get a look at the data”
vis_dat()	Visualises a data.frame to tell you what it contains.
data_vis_dat()	Return data used to create vis_dat plot
Focus on the missing data Specifically display information about the missingness
vis_miss()	Visualise a data.frame to display missingness.
data_vis_miss()	Return data used to create vis_miss plot
Compare two dataframes Only takes dataframes of the same dimensions
vis_compare()	Visually compare two dataframes and see where they are different.
Visualise whether a value you expect is in a data frame Visualise where certain conditions or values are TRUE in your data.
vis_expect()	Visualise whether a value is in a data frame
Visualise correlations in a dataframe Show the correlation amongst variables in simple function
vis_cor()	Visualise correlations amongst variables in your data as a heatmap
data_vis_cor()	Return data used to create vis_cor plot
Display the best guess of what each cell contains Potentially reveal other classes in your dataset
vis_guess()	Visualise type guess in a data.frame
Display binary values (0,1) in a data frame Explore data that is only binary in your data
vis_binary()	Visualise binary values
Display the values of each cell Potentially reveal hidden patterns by seeing scaled values
vis_value()	Visualise the value of data values
Example data provided with visdat Data is provided for exploring different functions in visdat
dat_bin	A small toy dataset of binary data with missings.
typical_data	A small toy dataset of imaginary people
typical_data_large	A small toy dataset of imaginary people
Misc helper functions Functions that might be useful for users
abbreviate_vars()	Abbreviate all variables in a data frame