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. |