Preliminary Visualisation of Data


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Documentation for package ‘visdat’ version 0.5.3

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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.