# Preliminary Visualisation of Data

## Documentation for package ‘visdat’ version 0.5.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

visdat-package | visdat
add_vis_dat_pal | (Internal) Add a specific palette to a visdat plot
all_numeric | (Internal) Are they all numeric columns?
compare_print | (Internal) A utility function for 'vis_compare'
expect_frame | Create a dataframe to help visualise 'expected' values
expect_guide_label | (Internal) Label the legend with the percent of missing data
fingerprint | Take the fingerprint of a data.frame - find the class or return NA
gather_cor | (Internal) create a tidy dataframe of correlations suitable for plotting
guess_type | (Internal) Guess the type of each individual cell in a dataframe
label_col_missing_pct | (Internal) Create labels for the columns containing the % missing data
miss_guide_label | Label the legend with the percent of missing data
test_if_dataframe | Test if input is a data.frame
typical_data | A small toy dataset of imaginary people
typical_data_large | A small toy dataset of imaginary people
visdat | visdat
vis_compare | Visually compare two dataframes and see where they are different.
vis_cor | Visualise correlations amongst variables in your data as a heatmap
vis_create_ | (Internal) Create a boilerplate for visualisations of the 'vis_' family
vis_dat | Visualises a data.frame to tell you what it contains.
vis_expect | Visualise whether a value is in a data frame
vis_extract_value_ | (Internal) Add values of each row as a column
vis_gather_ | (Internal) Gather rows into a format appropriate for grid visualisation
vis_guess | Visualise type guess in a data.frame
vis_miss | Visualise a data.frame to display missingness.