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Check Column Types in TidyTuesday Data

check_col_types.Rd

A wrapper function that checks for specific column types across all datasets in a TidyTuesday data list.

Usage

check_col_types(ttd, type)

Arguments

ttd

A list of data frames from load_tt_data()

type

Character string specifying the column type to check for. Options are:

  • "num" or "numeric" - numeric/integer columns

  • "cat" or "character" - character columns

  • "log" or "logical" - logical columns

  • "list" - list columns

  • "date" - date/datetime columns

Value

A named list where each element contains column names of the specified type, or 0 if no columns of that type exist in that dataset

Examples

ttd <- load_tt_data("Moore's Law")
#> Error in load_tt_data("Moore's Law"): No entries found for title: 'Moore's Law'

# Check for numeric columns
check_col_types(ttd, "num")
#> Error: object 'ttd' not found

# Check for character columns
check_col_types(ttd, "cat")
#> Error: object 'ttd' not found

# Check for logical columns
check_col_types(ttd, "log")
#> Error: object 'ttd' not found