Man pages for tierneyn/visdat
Preliminary Visualisation of Data

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_frameCreate a dataframe to help visualise 'expected' values
expect_guide_label(Internal) Label the legend with the percent of missing data
fingerprintTake the fingerprint of a data.frame - find the class or...
gather_cor(Internal) create a tidy dataframe of correlations suitable...
guess_type(Internal) Guess the type of each individual cell in a...
label_col_missing_pct(Internal) Create labels for the columns containing the %...
miss_guide_labelLabel the legend with the percent of missing data
typical_dataA small toy dataset of imaginary people
typical_data_largeA small toy dataset of imaginary people
vis_compareVisually compare two dataframes and see where they are...
vis_corVisualise correlations amongst variables in your data as a...
vis_create_(Internal) Create a boilerplate for visualisations of the...
visdatvisdat
vis_datVisualises a data.frame to tell you what it contains.
vis_expectVisualise 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...
vis_guessVisualise type guess in a data.frame
vis_missVisualise a data.frame to display missingness.
tierneyn/visdat documentation built on Sept. 26, 2018, 10:28 p.m.