Remove Columns with All NA Values

ngr_tidy_cols_rm_na removes all columns from a data.frame where every value is NA. This can be particularly helper when attempting to join data.frames due to type conflicts that occur due to columns with only NA values.

Usage

ngr_tidy_cols_rm_na(df)

Arguments

df

A data.frame. The input data frame to be cleaned.

Value

A data.frame with columns containing only NA values removed.

See also

Other tidy: ngr_tidy_cols_type_compare()

Examples

# Example data frame
df <- data.frame(
  A = c(NA, NA, NA),
  B = c(1, 2, NA),
  C = c(NA, NA, NA),
  D = c("x", "y", NA)
)

# Apply the function
tidy_df <- ngr_tidy_cols_rm_na(df)

# Result
print(tidy_df)
#>    B    D
#> 1  1    x
#> 2  2    y
#> 3 NA <NA>