Function 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

vis_histogram(): Visualise histogram of numeric columns in a data.frame

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