BuenaVista: Functions for Everyday Data Science Tasks

Description Usage Arguments Value See Also Examples

This function removes variables / obersvations from a dataset based on a percentage of missing data. The results are outputed as a data frame. Furthermore, the resulting data frame can be saved as .csv file in a specified directory.

1 2	remove_variables(dataset, percentage = NULL, file_name = NULL, directory = NULL)

`dataset`	The dataset from which the variables / observations are removed.
`percentage`	The cut off percentage of missing observations for removing variables, the default is NULL. If a variable is missing more than the specified percentage then the variable is removed from the dataset. With the default set to NULL, all missing observations are removed from the dataset.
`file_name`	A character object indicating the file name when saving the data frame. The name must include the .csv suffixs. The default is NULL.
`directory`	A character object specifying the directory where the data frame is to be saved as a .csv file.

Outputs the completed data as a data frame.

derive_variables, extract_variables, impute_variables, standardise_variables, transform_variables

# Example 1 - Titanic
descriptive_statistics(dataset = titanic, type = "numeric")
# remove all missing observations form the data frame
remove_variables(dataset = titanic)
# remove all variables that are missing over 15% of their observations
remove_variables(dataset = titanic, percentage = 15)